field_id	title	availability	stability	private	value_type	base_type	item_type	strata	instanced	arrayed	sexed	units	main_category	encoding_id	instance_id	instance_min	instance_max	array_min	array_max	notes	debut	version	num_participants	item_count	showcase_order	cost_do	cost_on	cost_sc
3	Verbal interview duration	0	0	0	11	0	0	2	1	0	0	seconds	152	0	2	0	3	0	0	Time taken for interview	2012-01-05T00:00:00	2023-03-08T00:00:00	501528	585037	0	1	1	1
4	Biometrics duration	0	0	0	11	0	0	2	1	0	0	seconds	152	0	2	0	3	0	0	Time taken for participant to do the tests in the biometric station of the Assessment Centre visit.	2012-01-05T00:00:00	2023-03-08T00:00:00	498017	586338	0	1	1	1
5	Sample collection duration	0	0	0	11	0	0	2	1	0	0	seconds	152	0	2	0	3	0	0	Time taken for participant to complete the blood phlebotomy station of the Assessment Centre visit. This is longer than the time during which they were actively giving blood.	2012-01-05T00:00:00	2023-03-08T00:00:00	501201	591369	0	1	1	1
6	Conclusion duration	0	0	0	11	0	0	2	1	0	0	seconds	152	0	2	0	3	0	0	This is the time taken for the participant to complete the final conclusion stage of the Assessment Centre visit.	2012-01-05T00:00:00	2023-03-08T00:00:00	499062	589111	0	1	1	1
19	Heel ultrasound method	0	0	0	21	11	0	0	1	0	0		100018	100260	2	0	0	0	0	Method used for the Ultrasound Bone Densitometry of heel	2012-01-05T00:00:00	2012-01-06T00:00:00	324694	324694	3	1	1	1
21	Weight method	0	0	0	21	11	0	0	1	0	0		100010	100261	2	0	3	0	0	Indicates whether weight was entered into the machine directly or manually, whether weight was only measured manually or not performed	2012-01-05T00:00:00	2023-03-08T00:00:00	500719	590084	11	1	1	1
23	Spirometry method	0	0	0	21	11	0	0	1	0	0		100020	100270	2	0	3	0	0	Spirometry method	2012-01-05T00:00:00	2023-03-07T00:00:00	460213	523182	180	1	1	1
31	Sex	0	0	0	21	11	0	0	0	0	0		100094	9	0	0	0	0	0	Sex of participant. <p>Acquired from central registry at recruitment, but in some cases updated by the participant. Hence this field may contain a mixture of the sex the NHS had recorded for the participant and self-reported sex.	2012-01-05T00:00:00	2022-03-10T00:00:00	502371	502371	140	1	1	1
33	Date of birth	0	0	1	51	0	0	0	0	0	0		100094	0	0	0	0	0	0	Date of birth (DOB) of participant. <p>Acquired from central registry, updated by participant. <p> This data-field will only be made available to researchers in exceptional circumstances. Wherever possible, reasearchers should use Month of Birth (~F52~) and Year of Birth (~F34~) instead.	2012-01-05T00:00:00	2022-03-23T00:00:00	502371	502371	110	0	0	1
34	Year of birth	0	0	0	11	0	0	0	0	0	0	years	100094	0	0	0	0	0	0	Year of birth of participant.<p>Acquired from central registry, updated by participant.	2012-01-05T00:00:00	2012-01-06T00:00:00	502368	502368	130	1	1	1
35	Was blood sampling attempted	0	0	0	21	11	0	0	1	0	0		100002	7	2	0	3	0	0	Indicates whether or not taking blood samples was attempted	2012-01-05T00:00:00	2023-03-08T00:00:00	501201	591369	1	1	1	1
36	Blood pressure device ID	0	0	0	41	0	0	2	1	0	0		100011	0	2	0	3	0	0	Blood pressure (Omron) gadget ID	2012-01-05T00:00:00	2023-03-08T00:00:00	498780	581267	0	1	1	1
37	Blood pressure manual sphygmomanometer device ID	0	0	0	41	0	0	2	1	0	0		100011	0	2	0	3	0	0	Blood pressure manual sphygmomanometer gadget ID	2012-01-05T00:00:00	2023-03-08T00:00:00	498780	581267	0	1	1	1
38	Hand grip dynamometer device ID	0	0	0	41	0	0	2	1	0	0		100019	0	2	0	3	0	0	Hand grip dynamometer device id. Dynamometer calibration records are available in the associated Resources.	2012-01-05T00:00:00	2023-03-08T00:00:00	498018	586339	3	1	1	1
39	Height measure device ID	0	0	0	41	0	0	2	1	0	0		100010	0	2	0	3	0	0	Height measure gadget id	2012-01-05T00:00:00	2023-03-08T00:00:00	498018	586339	5	1	1	1
40	Manual scales device ID	0	0	0	41	0	0	2	1	0	0		100010	0	2	0	3	0	0	Manual scales gadget id	2012-01-05T00:00:00	2023-03-08T00:00:00	498018	586339	12	1	1	1
41	Seating box device ID	0	0	0	41	0	0	2	1	0	0		100010	0	2	0	3	0	0	Sitting box gadget id	2012-01-05T00:00:00	2023-03-08T00:00:00	498018	586339	9	1	1	1
42	Spirometer device ID	0	0	0	41	0	0	2	1	0	0		100020	0	2	0	3	0	0	Spirometer gadget ID	2012-01-05T00:00:00	2023-03-08T00:00:00	498018	586339	440	1	1	1
43	Impedance device ID	0	0	0	41	0	0	2	1	0	0		100009	0	2	0	3	0	0	Impedance (Tanita) gadget id	2012-01-05T00:00:00	2023-03-08T00:00:00	498018	586339	370	1	1	1
44	Tape measure device ID	0	0	0	41	0	0	2	1	0	0		100010	0	2	0	3	0	0	Tape measure gadget id	2012-01-05T00:00:00	2023-03-08T00:00:00	498018	586339	3	1	1	1
45	Heel ultrasound device id	0	0	0	41	0	0	2	1	0	0		100018	0	2	0	3	0	0	Ultrasound heel (Sahara) gadget ID	2012-01-05T00:00:00	2022-12-24T00:00:00	497959	579559	42	1	1	1
46	Hand grip strength (left)	0	0	0	11	0	0	0	1	0	0	Kg	100019	0	2	0	3	0	0	Left grip strength. <br> <br> An issue has been identified with the a small amount of grip strength data (~F46~ and ~F47~) collected in Cheadle during the first repeat visit in 2013 (Instance 1). We are working on modelling a correction factor for this data. In the meantime, researchers are advised to treat the 2013 grip strength data with caution. <br> In particular, readings from dynamometer 7336 are lower than expected. The mean error is approximately 2 kg for readings taken in January 2013, gradually increasing to a mean error of 14 kg for readings taken in June 2013.<br> The dynamometer was recalibrated after June 2013, during scheduled yearly external calibration, and there is no evidence of problems with dynamometer 7336 during instances 0, 2 or 3.	2012-01-05T00:00:00	2023-03-08T00:00:00	499191	587870	1	1	1	1
47	Hand grip strength (right)	0	0	0	11	0	0	0	1	0	0	Kg	100019	0	2	0	3	0	0	Right grip strength. <br> <br> An issue has been identified with the a small amount of grip strength data (~F46~ and ~F47~) collected in Cheadle during the first repeat visit in 2013 (Instance 1). We are working on modelling a correction factor for this data. In the meantime, researchers are advised to treat the 2013 grip strength data with caution. <br> In particular, readings from dynamometer 7336 are lower than expected. The mean error is approximately 2 kg for readings taken in January 2013, gradually increasing to a mean error of 14 kg for readings taken in June 2013. <br> The dynamometer was recalibrated after June 2013, during scheduled yearly external calibration, and there is no evidence of problems with dynamometer 7336 during instances 0, 2 or 3.	2012-01-05T00:00:00	2023-03-08T00:00:00	499259	587958	1.5	1	1	1
48	Waist circumference	0	0	0	31	0	0	0	1	0	0	cm	100010	0	2	0	3	0	0	Waist circumference	2012-01-05T00:00:00	2023-03-08T00:00:00	500290	589619	1	1	1	1
49	Hip circumference	0	0	0	31	0	0	0	1	0	0	cm	100010	0	2	0	3	0	0	Hip circumference	2012-01-05T00:00:00	2023-03-08T00:00:00	500227	589557	2	1	1	1
50	Standing height	0	0	0	31	0	0	0	1	0	0	cm	100010	0	2	0	3	0	0	Standing height was measured using a Seca 202 device	2012-01-05T00:00:00	2023-03-08T00:00:00	499928	589191	4	1	1	1
51	Seated height	0	0	0	31	0	0	0	1	0	0	cm	100010	0	2	0	3	0	0	Seated height was measured using a Seca 202 device with the participant seated on a box, the size of which is given by ~F3077~	2012-01-05T00:00:00	2023-03-08T00:00:00	497227	585289	6	1	1	1
52	Month of birth	0	0	0	21	11	0	0	0	0	0		100094	8	0	0	0	0	0	Calendar month of birth of participant.<p>Acquired from central registry, updated by participant.	2012-01-05T00:00:00	2012-01-06T00:00:00	502368	502368	120	1	1	1
53	Date of attending assessment centre	0	0	0	51	0	0	0	1	0	0		100024	0	2	0	3	0	0	Date when a participant attended a UK Biobank assessment centre. <p>Automatically acquired at Reception stage.	2012-01-05T00:00:00	2023-03-10T00:00:00	502371	593654	110	1	1	1
54	UK Biobank assessment centre	0	0	0	21	11	0	0	1	0	0		100024	10	2	0	3	0	0	The UK Biobank assessment centre at which participant consented.<p>Automatically acquired at participant consent	2012-01-05T00:00:00	2023-03-07T00:00:00	502371	593537	100	1	1	1
55	Month of attending assessment centre	0	0	0	21	11	0	0	1	0	0		100024	8	2	0	3	0	0	Calendar month that participant attended a UK Biobank assessment centre.<p>Automatically acquired at Reception stage.	2012-01-05T00:00:00	2023-03-09T00:00:00	502371	593606	120	1	1	1
62	Willing to attempt cognitive tests	0	0	0	21	11	0	0	1	0	0		100004	100641	2	0	2	0	0	ACE touchscreen question "Now we would like to check your memory and reaction times by getting you to play some short games"	2012-01-05T00:00:00	2016-11-03T00:00:00	498240	529664	0	1	1	1
68	Number of blood samples taken	0	0	0	11	0	0	0	1	0	0		100002	0	2	0	3	0	0	Blood, count of sample barcodes recorded<p>Each barcode corresponds to a sample collected in the assessment centre. However the actual volume collected was not always the full amount preferred.	2012-01-05T00:00:00	2023-03-08T00:00:00	501201	591369	2	1	1	1
74	Fasting time	0	0	0	11	0	0	0	1	0	0	hours	100002	0	2	0	3	0	0	Fasting time is the interval between consumption of food or drink and blood sample(s) being taken. This was recorded so that it could be allowed for when analysing the blood composition at a later date.	2012-01-05T00:00:00	2023-03-08T00:00:00	501186	591345	4	1	1	1
77	Heel bone ultrasound T-score, manual entry	0	0	0	31	0	0	0	1	0	0	Std.Devs	100018	0	2	0	0	0	0	This T-score is calculated from the ultrasound heel BMD measurement and is based on a person's bone density compared with what is normally expected in someone of the same sex. The units of the T-score are the number of standard deviations (SD) that the bone density is above or below the standard.	2012-01-05T00:00:00	2012-01-06T00:00:00	42721	42721	14	1	1	1
78	Heel bone mineral density (BMD) T-score, automated	0	0	0	31	0	0	0	1	0	0	Std.Devs	100018	0	2	0	0	0	0	This T-score is calculated from the ultrasound heel BMD measurement and is based on a person's bone density compared with what is normally expected in someone of the same sex. The units of the T-score are the number of standard deviations (SD) that the bone density is above or below the standard.	2012-01-05T00:00:00	2012-01-06T00:00:00	279022	279022	9	1	1	1
84	Cancer year/age first occurred	0	0	0	11	0	0	0	1	1	0		100074	37	2	0	3	0	5	For each cancer entered, the nurse entered the date or age at diagnosis using a pop-up screen, depending on the participant's response. See Related Data-fields tab for further information on where to find separate data-fields for age and year of diagnosis.	2012-01-05T00:00:00	2023-03-07T00:00:00	47225	56024	0	1	1	1
87	Non-cancer illness year/age first occurred	0	0	0	11	0	0	0	1	1	0		100074	37	2	0	3	0	33	For each disease entered, the nurse entered the date or age at diagnosis using a pop-up screen, depending on the participant's response. See Related Data-fields tab for further information on where to find separate data-fields for age and year of diagnosis.	2012-01-05T00:00:00	2023-03-08T00:00:00	390407	1212254	0	1	1	1
92	Operation year/age first occurred	0	0	0	11	0	0	0	1	1	0		100076	37	2	0	3	0	31	For each operation entered, the nurse entered the date or age at diagnosis using a pop-up screen, depending on the participant's response. See Related Data-fields tab for further information on where to find separate data-fields for age and year of diagnosis.	2012-01-05T00:00:00	2023-03-08T00:00:00	401230	1030893	0	1	1	1
93	Systolic blood pressure, manual reading	0	0	0	11	0	0	0	1	1	0	mmHg	100011	0	2	0	3	0	1	Blood pressure, manual reading, systolic. Two measures of blood pressure were taken a few moments apart. A manual sphygmometer was used if the standard automated device could not be employed.	2012-01-05T00:00:00	2023-03-07T00:00:00	50973	85440	0	1	1	1
94	Diastolic blood pressure, manual reading	0	0	0	11	0	0	0	1	1	0	mmHg	100011	0	2	0	3	0	1	Blood pressure, manual reading, diastolic. Two measures of blood pressure were taken a few moments apart. A manual sphygmometer was used if the standard automated device could not be employed.	2012-01-05T00:00:00	2023-03-07T00:00:00	50973	85440	0	1	1	1
95	Pulse rate (during blood-pressure measurement)	0	0	0	11	0	0	0	1	1	0		100011	0	2	0	3	0	1	Pulse measured during automated blood-pressure reading	2012-01-05T00:00:00	2023-03-07T00:00:00	50973	85440	0	1	1	1
96	Time since interview start at which blood pressure screen(s) shown	0	0	0	11	0	0	2	1	1	0	seconds	100011	0	2	0	3	0	1	The time since interview start at which the blood pressure screen was shown is useful because it can be used to calculate the interval between the two measurements of blood pressure. This interval is variable because it, for efficiency reasons, it was impractical to use a fixed time during the UK Biobank Assessments.	2012-01-05T00:00:00	2023-03-08T00:00:00	501528	1169309	0	1	1	1
102	Pulse rate, automated reading	0	0	0	11	0	0	0	1	1	0	bpm	100011	0	2	0	3	0	1	This is the pulse rate measured during the automated blood pressure readings.	2012-01-05T00:00:00	2023-03-08T00:00:00	475730	1082373	0	1	1	1
111	Aide-memoire completed	0	0	0	21	11	0	0	1	0	0		100004	7	2	0	1	0	0	Participants were asked to complete an aide-memoire at home (prior to the visiting and assessment centre) to help them complete the more complex/detailed interview questions. This field records whether or not the participant brought a completed aide-memoire to the interview.	2012-01-05T00:00:00	2022-03-09T00:00:00	501512	521841	0	1	1	1
115	Father's month of birth	0	0	1	21	11	0	0	1	0	0		100072	100279	2	0	0	0	0	Father's month of birth	2012-01-05T00:00:00	2022-03-09T00:00:00	323089	323089	160	1	1	1
117	Mother's month of birth	0	0	1	21	11	0	0	1	0	0		100072	100279	2	0	0	0	0	Mother's month of birth	2012-01-05T00:00:00	2022-03-09T00:00:00	323089	323089	180	1	1	1
118	Mother's day of birth	0	0	1	11	0	0	0	1	0	0	day-of-month	100072	0	2	0	0	0	0	Mother's day of birth (this is the day-within-month)	2012-01-05T00:00:00	2022-03-09T00:00:00	279542	279542	170	1	1	1
120	Birth weight known	0	0	0	21	11	0	0	1	0	0		100072	100258	2	0	2	0	0	Birth weight known <br><br>This question was dropped from the touchscreen protocol on 24/10/2016.	2012-01-05T00:00:00	2022-03-09T00:00:00	501512	533545	110	1	1	1
129	Place of birth in UK - north co-ordinate	0	0	0	11	0	0	0	1	0	0	metre-grid	100072	170	2	0	2	0	0	Place born - north co-ordinate <br><br>This question was dropped from the touchscreen protocol on 24/10/2016.	2012-01-05T00:00:00	2022-03-09T00:00:00	452178	480984	140	1	1	1
130	Place of birth in UK - east co-ordinate	0	0	0	11	0	0	0	1	0	0	metre-grid	100072	170	2	0	2	0	0	Place born - east co-ordinate <br><br>This question was dropped from the touchscreen protocol on 24/10/2016.	2012-01-05T00:00:00	2022-03-09T00:00:00	452178	480984	130	1	1	1
132	Job code at visit - entered	0	0	1	21	11	0	0	1	0	0		100073	2	2	0	3	0	0	This information is regarded as restricted and will be supplied to researchers only when absolutely necessary. <br> <br>Please use data field 20277 which is the unrestricted version of this data field. <br> <br>See also the Related Data-Fields tab below for other unrestricted alternatives.	2012-01-05T00:00:00	2023-03-08T00:00:00	346300	409866	0	1	1	1
134	Number of self-reported cancers	0	0	0	11	0	0	0	1	0	0		100074	0	2	0	3	0	0	Number of cancers entered	2012-01-05T00:00:00	2023-03-08T00:00:00	501528	585037	0	1	1	1
135	Number of self-reported non-cancer illnesses	0	0	0	11	0	0	0	1	0	0		100074	0	2	0	3	0	0	Number of non-cancer illnesses entered	2012-01-05T00:00:00	2023-03-08T00:00:00	501528	585037	0	1	1	1
136	Number of operations, self-reported	0	0	0	11	0	0	0	1	0	0		100076	0	2	0	3	0	0	Number of operations entered	2012-01-05T00:00:00	2023-03-08T00:00:00	501528	585037	0	1	1	1
137	Number of treatments/medications taken	0	0	0	11	0	0	0	1	0	0		100075	0	2	0	3	0	0	Number of treatments (medications) entered	2012-01-05T00:00:00	2023-03-08T00:00:00	501528	585037	100	1	1	1
146	Father's day of birth	0	0	1	11	0	0	0	1	0	0	day-of-month	100072	0	2	0	0	0	0	Father's day of birth (this is the day-within-month)	2012-01-05T00:00:00	2022-03-09T00:00:00	255871	255871	150	1	1	1
189	Townsend deprivation index at recruitment	4	0	0	31	0	0	3	0	0	0		100094	0	0	0	0	0	0	Townsend deprivation index calculated immediately prior to participant joining UK Biobank. Based on the preceding national census output areas. Each participant is assigned a score corresponding to the output area in which their postcode is located.	2012-01-05T00:00:00	2012-01-30T00:00:00	501745	501745	160	1	1	1
190	Reason lost to follow-up	0	3	0	21	11	0	0	0	0	0		2	1965	0	0	0	0	0	Indicates the reason that a person is believed to be lost to follow-up. <p> If there are multiple reasons that a person is lost to follow-up then only the earliest of them is listed. <br> <br> Please note this data-field has not been updated since May 2017. We are hoping to update this data-field to include more recent information in the next year.	2017-05-24T00:00:00	2017-05-24T00:00:00	1297	1297	100	1	1	1
191	Date lost to follow-up	0	3	0	51	0	0	0	0	0	0		2	0	0	0	0	0	0	Indicates the date from which a person is believed to be lost to follow-up. <p> If there are multiple reasons that a person is lost to follow-up then only the date of the earliest of them is listed. <br> <br> Please note this data-field has not been updated since May 2017. We are hoping to update this data-field to include more recent information in the next year.	2017-05-24T00:00:00	2017-05-24T00:00:00	1297	1297	110	1	1	1
200	Date of consenting to join UK Biobank	0	0	0	51	0	0	0	0	0	0		100023	0	0	0	0	0	0	Date that participant consented at UK Biobank assessment centre.<p>Automatically acquired at participant consent.	2012-01-05T00:00:00	2022-03-10T00:00:00	502369	502369	0	1	1	1
393	Program (tactus) version ID (compiler timestamp)	0	0	0	21	41	0	2	0	0	0		100023	1200	0	0	0	0	0	This field identifies the version of the touchscreen system in use at the assessment centre when a participant visit took place. The timestamp is not present in data from the initial pilot clinic.	2012-01-05T00:00:00	2012-01-06T00:00:00	502366	502366	0	1	1	1
396	Number of columns displayed in round	0	0	0	11	0	0	0	1	1	0		100030	0	2	0	3	1	3		2012-01-05T00:00:00	2023-03-08T00:00:00	498781	1212656	150	1	1	1
397	Number of rows displayed in round	0	0	0	11	0	0	0	1	1	0		100030	0	2	0	3	1	2		2012-01-05T00:00:00	2023-03-08T00:00:00	498781	1169010	170	1	1	1
398	Number of correct matches in round	0	0	0	11	0	0	0	1	1	0		100030	0	2	0	3	1	3	This is the number of correct matches in the round. It should always be 3 for a 2x3 game and 6 for a 3x4 game, unless the participant abandoned before finishing.	2012-01-05T00:00:00	2023-03-08T00:00:00	498781	1212656	190	1	1	1
399	Number of incorrect matches in round	0	0	0	11	0	0	0	1	1	0		100030	0	2	0	3	1	3	A value of 0 indicates the participant made no mistakes.	2012-01-05T00:00:00	2023-03-08T00:00:00	498781	1212656	100	1	1	1
400	Time to complete round	0	0	0	11	0	0	0	1	1	0	deciseconds	100030	402	2	0	3	1	3		2012-01-05T00:00:00	2023-03-08T00:00:00	498781	1212656	120	1	1	1
401	Index for card A in round	0	0	0	21	11	0	0	1	1	0		100032	92	2	0	3	0	11		2012-01-05T00:00:00	2023-03-08T00:00:00	496650	6987336	1	1	1	1
402	Index for card B in round	0	0	0	21	11	0	0	1	1	0		100032	92	2	0	3	0	11		2012-01-05T00:00:00	2023-03-08T00:00:00	496650	6987336	3	1	1	1
403	Number of times snap-button pressed	0	0	0	11	0	0	0	1	1	0		100032	0	2	0	3	0	11	This indicates the number of times the snap-button was pressed (i.e. the user indicated the cards matched) in each round.	2012-01-05T00:00:00	2023-03-08T00:00:00	496650	6987336	5	1	1	1
404	Duration to first press of snap-button in each round	0	0	0	11	0	0	0	1	1	0	milliseconds	100032	0	2	0	3	0	11	This gives the interval between the cards being displayed and the participant pressing the snap-button to indicate a match. Note that the time is recorded regardless of whether the cards shown formed a matching pair. ~F401~ and ~F402~ need to be compared to determine if the cards were the same. <p>Each pair was displayed for 2 seconds, followed by a 1 second gap. If the button-press occurred during a gap then it was recorded against the previous pair, giving a value in the range 2001-2999ms.	2012-01-05T00:00:00	2023-03-08T00:00:00	494311	3508674	7	1	1	1
630	Touchscreen duration	0	0	0	11	0	0	2	1	0	0	deciseconds	152	0	2	0	3	0	0		2012-01-05T00:00:00	2023-03-08T00:00:00	501538	592134	0	1	1	1
670	Type of accommodation lived in	0	0	0	21	11	0	0	1	0	0		100066	100286	2	0	3	0	0	ACE touchscreen question "What type of accommodation do you live in?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please select:<br><br>A house or bungalow for any whole, detached, semi-detached<br>or terraced (including end-terrace) house or bungalow.<br><br>A flat, maisonette, or apartment for any purpose-built<br>block of flats or tenement, part of a converted or shared<br>house (including bed-sits) or within a commercial building<br>(for example in an office building, or hotel, or over a shop).<br><br>If none of the options apply, select None of the above.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501528	592124	1	1	1	1
680	Own or rent accommodation lived in	0	0	0	21	11	0	0	1	0	0		100066	100287	2	0	3	0	0	ACE touchscreen question "Do you own or rent the accommodation that you live in?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please select:<br> - Own outright if you or someone in your household<br>owns the accommodation that you live in.<br> - Own with mortagage if you or someone in your<br>household has a mortagage on the accommodation<br>that you live in.<br></i></td></tr></table><p>~F680~ was collected from participants except those who indicated they were living in a sheltered accommodation or in a care home, as defined by their answers to ~F670~	2012-01-05T00:00:00	2023-03-08T00:00:00	500150	590613	2	1	1	1
699	Length of time at current address	0	0	0	11	0	0	0	1	0	0	years	100066	100290	2	0	3	0	0	ACE touchscreen question "How many years have you lived at your current address?"<p>The following checks were performed:<ul><li>If answer < 1 then rejected</li><li>If answer > Participants age then rejected</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you have lived there for less than one year select Less than a year.<br>If you are unsure, please provide an estimate or select Do not know.<br>If you have lived at your current address at different times, add up<br>the total number of years you lived there. For instance if you lived<br>at your current address for 3 years, moved overseas for one year and<br>returned to your current address for another 5 years, then you would<br>enter 8 years.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501524	592120	6	1	1	1
709	Number in household	0	0	0	11	0	0	0	1	0	0	people	100066	100291	2	0	3	0	0	ACE touchscreen question "Including yourself, how many people are living together in your household? (Include those who usually live in the house such as students living away from home during term, partners in the armed forces or professions such as pilots)"<p>The following checks were performed:<ul><li>If answer < 1 then rejected</li><li>If answer > 100 then rejected</li><li>If answer > 12 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you live alone, enter 1.<br>Include those who usually live in the house such as students living away<br>from home during term, partners in the armed forces or professions such as<br>pilots.<br></i></td></tr></table><p>~F709~ was collected from all participants except those who indicated they were living in a sheltered accommodation or in a care home, as defined by their answers to ~F670~	2012-01-05T00:00:00	2023-03-08T00:00:00	500148	590611	7	1	1	1
728	Number of vehicles in household	0	0	0	21	11	0	0	1	0	0		100066	100293	2	0	3	0	0	ACE touchscreen question "How many cars or vans are owned, or available for use, by you or members of your household? (Please include company vehicles if available for private use) "<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Do not include motorcycles.<br></i></td></tr></table><p>~F728~ was collected from all participants except those who indicated they were living in a sheltered accommodation or in a care home as defined by their answers to ~F670~	2012-01-05T00:00:00	2023-03-08T00:00:00	500148	590611	9	1	1	1
738	Average total household income before tax	0	0	0	21	11	0	0	1	0	0		100066	100294	2	0	3	0	0	ACE touchscreen question "What is the average total income before tax received by your HOUSEHOLD?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure of annual household income here are<br>the weekly and monthly equivalents:<br><br>Annual    Monthly   Weekly<br><br>less than &pound;18,000  less than &pound;1,500  less than &pound;346<br>&pound;18,000 to &pound;29,999  &pound;1,500 to &pound;2,499  &pound;346 to &pound;576<br>&pound;30,000 to &pound;51,999  &pound;2,500 to &pound;4,333  &pound;577 to &pound;999<br>&pound;52,000 to &pound;100,000  &pound;4,334 to &pound;8,333  &pound;1000 to &pound;1,923<br>greater than &pound;100,000  greater than &pound;8,333  greater than &pound;1,923 <br></i></td></tr></table><p>~F738~ was collected from participants except those who indicated they were living in a sheltered accommodation or in a care home as defined by their answers to ~F670~	2012-01-05T00:00:00	2023-03-08T00:00:00	497442	586858	10	1	1	1
757	Time employed in main current job	0	0	0	11	0	0	0	1	0	0	years	100064	100290	2	0	3	0	0	ACE touchscreen question "How many years have you worked in your current job? (If you have more than one job please answer this, and the following questions on work, for your MAIN job only)"<p>The following checks were performed:<ul><li>If answer < 1 then rejected</li><li>If answer > Participants age - 10 years then rejected</li><li>If answer > Participants age - 16 years then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you have more than one 'current job' then answer this question for your<br>MAIN job only (ie: the job that you spend most of your time doing).<br>If you have been with the same employer, but have changed jobs whilst you<br>have worked for them, then only give the number of years that you have been<br>in your current job (not the number of years that you have been employed by<br>the same company). For instance, if you have worked as mail-room sorter but<br>then been promoted to manager of the mail-room, please give the number of years<br>you have worked as the mail-room manager only.<br>If you have changed employers, but have had the same job, please give the total<br>number of years that you have worked in that job.  For instance, if you have<br>worked as a cleaner for 3 different companies, please give the total number of<br>years working as a cleaner.<br></i></td></tr></table><p>~F757~ was collected from all the participants who indicated they were in paid employment or self-employed, as defined by their answers to ~F6142~	2012-01-05T00:00:00	2023-03-07T00:00:00	288617	321007	2	1	1	1
767	Length of working week for main job	0	0	0	11	0	0	0	1	0	0	hours	100064	100291	2	0	3	0	0	ACE touchscreen question "In a typical WEEK, how many hours do you spend at work? (Do not include hours travelling to and from work)"<p>The following checks were performed:<ul><li>If answer > 160 then rejected</li><li>If answer < 1 then participant asked to confirm</li><li>If answer > 74 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you have more than one 'current job' then answer this question<br>for your MAIN job only.<br></i></td></tr></table><p>~F767~ was collected from all the participants who indicated they were in paid employment or self-employed, as defined by their answers to ~F6142~	2012-01-05T00:00:00	2023-03-07T00:00:00	288618	321009	3	1	1	1
777	Frequency of travelling from home to job workplace	0	0	0	11	0	0	0	1	0	0	times	100064	100298	2	0	3	0	0	ACE touchscreen question "How many times a WEEK do you travel from home to your main work? (count outward journeys only; put 0 if you always work from home)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 999 then rejected</li><li>If answer > 99 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If the number of times varies each week, take an average over the last 4 weeks.<br>If you only work from home please enter 0<br><br></i></td></tr></table><p>~F777~ was collected from the participants who indicated they were in paid employment or self-employed, as defined by their answers to ~F6142~	2012-01-05T00:00:00	2023-03-07T00:00:00	286693	318673	4	1	1	1
796	Distance between home and job workplace	0	0	0	11	0	0	0	1	0	0	miles	100064	100300	2	0	3	0	0	ACE touchscreen question "About how many miles is it between your home and your work? "<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 9999 then rejected</li><li>If answer > 70 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you have more than one 'current job' then answer this question for your<br>MAIN job only.<br>If you are unsure, please provide an estimate or select Do not know.<br>If you only work from home please enter 0<br></i></td></tr></table><p>~F796~ was collected from participants who indicated they were in paid employment or self-employed, as defined by their answers to ~F6142~ and except those who indicated they always work from home, as defined by their answers to ~F6142~	2012-01-05T00:00:00	2023-03-07T00:00:00	267997	295512	0	1	1	1
806	Job involves mainly walking or standing	0	0	0	21	11	0	0	1	0	0		100064	100301	2	0	3	0	0	ACE touchscreen question "Does your work involve walking or standing for most of the time?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you have more than one 'current job' then answer<br>this question your MAIN job only.<br></i></td></tr></table><p>~F806~ was collected from the participants who indicated they were in paid employment or self-employed as defined by their answers to ~F6142~	2012-01-05T00:00:00	2023-03-07T00:00:00	288618	321009	7	1	1	1
816	Job involves heavy manual or physical work	0	0	0	21	11	0	0	1	0	0		100064	100301	2	0	3	0	0	ACE touchscreen question "Does your work involve heavy manual or physical work?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you have more than one 'current job' then answer this question for your<br>MAIN job only.<br>Physical work includes work that involves handling of heavy objects and use<br>of heavy tools.<br></i></td></tr></table><p>~F816~ was collected from participants who indicated they were in paid employment or self-employed as defined by their answers to ~F6142~	2012-01-05T00:00:00	2023-03-07T00:00:00	288618	321009	8	1	1	1
826	Job involves shift work	0	0	0	21	11	0	0	1	0	0		100064	100301	2	0	3	0	0	ACE touchscreen question "Does your work involve shift work?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you have more than one 'current job' then answer this question<br>for your MAIN job only.<br>Shift work is a work schedule that falls outside of the normal daytime<br>working hours of 9am-5pm.  This may involve working afternoons, evenings<br>or nights or rotating through these kinds of shifts.<br></i></td></tr></table><p>~F826~ was collected from participants who indicated they were in paid employment or self-employed as defined by their answers to ~F6142~	2012-01-05T00:00:00	2023-03-07T00:00:00	288618	321009	9	1	1	1
845	Age completed full time education	0	0	0	11	0	0	0	1	0	0	years	100063	100306	2	0	2	0	0	ACE touchscreen question "At what age did you complete your continuous full time education?"<p>The following checks were performed:<ul><li>If answer < 5 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer > 40 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please give the age that you completed 'continuous' full time education.<br>For example, if you stopped your studies when you were 17 years old with<br>the intention that you had completed your studies but then returned to<br>full time studies when you were 24, enter 17.<br>However if you only temporarily stopped your studies at 17 with the<br>intention that you would return to studies (for instance a gap year)<br>and then completed your full time education at 21, enter 21.<br></i></td></tr></table><p>~F845~ was collected from all participants except those who indicated they have a College or University degree, as defined by their answers to ~F6138~	2012-01-05T00:00:00	2016-11-03T00:00:00	337334	354277	3	1	1	1
864	Number of days/week walked 10+ minutes	0	0	0	11	0	0	0	1	0	0	days/week	100054	100307	2	0	3	0	0	ACE touchscreen question "In a typical WEEK, on how many days did you walk for at least 10 minutes at a time? (Include walking that you do at work, travelling to and from work, and for sport or leisure)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 7 then rejected</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Count the number of days in a week that you walk for at least 10 minutes<br>continuously at a time.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501517	592113	0	1	1	1
874	Duration of walks	0	0	0	11	0	0	0	1	0	0	minutes/day	100054	100291	2	0	3	0	0	ACE touchscreen question "How many minutes did you usually spend walking on a typical DAY?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 1440 then rejected</li><li>If answer < 10 then participant asked to confirm</li><li>If answer > 300 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Count the number of minutes that you usually spend walking in one day.<br>If the time you usually spend walking on each day of the week varies a<br>lot, give an average of the time you spend walking. For instance if on<br>one day of the week you usually walk for 4 hours but on the other day<br>you walk 2 hours then give the average - that is 3 hours.<br></i></td></tr></table><p>~F874~ was collected from participants who indicated that they walked for 10 minutes on at least 1 day per week in the previous 4 weeks, as defined by their answers to ~F864~	2012-01-05T00:00:00	2023-03-08T00:00:00	480501	566616	0	1	1	1
884	Number of days/week of moderate physical activity 10+ minutes	0	0	0	11	0	0	0	1	0	0	days/week	100054	100291	2	0	3	0	0	ACE touchscreen question "In a typical WEEK, on how many days did you do 10 minutes or more of moderate physical activities like carrying light loads, cycling at normal pace?  (Do not include walking)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 7 then rejected</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Count the number of days in a week that you do moderate physical activities<br>for at least 10 minutes continuously at a time. Remember to include activities<br>that you do for work, leisure, travel and around the house.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501513	592109	0	1	1	1
894	Duration of moderate activity	0	0	0	11	0	0	0	1	0	0	minutes/day	100054	100291	2	0	3	0	0	ACE touchscreen question "How many minutes did you usually spend doing moderate activities on a typical DAY?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 1440 then rejected</li><li>If answer < 10 then participant asked to confirm</li><li>If answer > 300 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If the time you usually spend doing moderate physical activity on each day<br>of the week varies a lot, give an average of the time you spend doing moderate<br>physical activity.<br></i></td></tr></table><p>~F894~ was collected from participants who indicated that they did moderate physical activities for 10 minutes on at least 1 day per week in the previous 4 weeks, as defined by their answers to question ~F884~	2012-01-05T00:00:00	2023-03-08T00:00:00	419849	492030	0	1	1	1
904	Number of days/week of vigorous physical activity 10+ minutes	0	0	0	11	0	0	0	1	0	0	days/week	100054	100291	2	0	3	0	0	ACE touchscreen question "In a typical WEEK, how many days did you do 10 minutes or more of vigorous physical activity? (These are activities that make you sweat or breathe hard such as fast cycling, aerobics, heavy lifting)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 7 then rejected</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Count the number of days in a week that you do vigorous physical activities for<br>at least 10 minutes continuously at a time. Remember to include activities that<br>you do for work, leisure, travel and around the house.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501513	592109	0	1	1	1
914	Duration of vigorous activity	0	0	0	11	0	0	0	1	0	0	minutes/day	100054	100291	2	0	3	0	0	ACE touchscreen question "How many minutes did you usually spend doing vigorous activities on a typical DAY?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 1440 then rejected</li><li>If answer < 10 then participant asked to confirm</li><li>If answer > 300 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If the time you usually spend doing vigorous physical activity on each day<br>of the week varies a lot, give an average of the time you spend doing vigorous<br>physical activity.<br></i></td></tr></table><p>This information was collected from participants who indicated that they did vigorous physical activities for 10 minutes on at least 1 day per week in the previous 4 weeks, as defined by their answers to ~F904~	2012-01-05T00:00:00	2023-03-08T00:00:00	306998	354915	0	1	1	1
924	Usual walking pace	0	0	0	21	11	0	0	1	0	0		100054	100313	2	0	3	0	0	ACE touchscreen question "How would you describe your usual walking pace? "<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Slow pace is defined as less than 3 miles per hour.<br>Steady average pace is defined as between 3-4 miles per hour.<br>Fast pace is defined as more than 4 miles per hour.<br></i></td></tr></table><p>~F924~ was collected from all participants except those who indicated they were unable to walk, as defined by their answers to ~F864~	2012-01-05T00:00:00	2023-03-08T00:00:00	499627	590061	0	1	1	1
943	Frequency of stair climbing in last 4 weeks	0	0	0	21	11	0	0	1	0	0		100054	100314	2	0	3	0	0	ACE touchscreen question "At home, during the last 4 weeks, about how many times a DAY do you climb a flight of stairs? (approx 10 steps)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F943~ was collected from all participants except those who indicated they were unable to walk, as defined by their answers to ~F864~	2012-01-05T00:00:00	2023-03-08T00:00:00	496922	586310	0	1	1	1
971	Frequency of walking for pleasure in last 4 weeks	0	0	0	21	11	0	0	1	0	0		100054	100317	2	0	3	0	0	ACE touchscreen question "How many times in the last 4 weeks did you go walking for pleasure?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F971~ was collected from participants who indicated that they spent time walking for pleasure in the previous 4 weeks, as defined by their answers to ~F6164~	2012-01-05T00:00:00	2023-03-08T00:00:00	362648	423657	0	1	1	1
981	Duration walking for pleasure	0	0	0	21	11	0	0	1	0	0		100054	100318	2	0	3	0	0	ACE touchscreen question "Each time you went walking for pleasure, about how long did you spend doing it?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F981~ was collected from all participants who indicated that they spent time walking for pleasure in the previous 4 weeks, as defined by their answers to ~F6164~	2012-01-05T00:00:00	2023-03-08T00:00:00	362648	423657	0	1	1	1
991	Frequency of strenuous sports in last 4 weeks	0	0	0	21	11	0	0	1	0	0		100054	100317	2	0	3	0	0	ACE touchscreen question "How many times in the last 4 weeks did you do strenuous sports?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F991~ was collected from all participants who indicated that they spent time doing strenuous sports in the previous 4 weeks, as defined by their answers to ~F6164~	2012-01-05T00:00:00	2023-03-08T00:00:00	54497	60697	0	1	1	1
1001	Duration of strenuous sports	0	0	0	21	11	0	0	1	0	0		100054	100318	2	0	3	0	0	ACE touchscreen question "Each time you did strenuous sports, about how long did you spend doing it?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F1001~ was collected from all participants who indicated that they spent time doing strenuous sports in the previous 4 weeks, as defined by their answers to ~F6164~	2012-01-05T00:00:00	2023-03-08T00:00:00	54497	60697	0	1	1	1
1011	Frequency of light DIY in last 4 weeks	0	0	0	21	11	0	0	1	0	0		100054	100317	2	0	3	0	0	ACE touchscreen question "How many times in the last 4 weeks did you do light DIY?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F1011~ was collected from all participants who indicated that they spent time doing light DIY (e.g. pruning, watering the lawn) in the previous 4 weeks, as defined by their answers to ~F6164~	2012-01-05T00:00:00	2023-03-08T00:00:00	264249	300545	0	1	1	1
1021	Duration of light DIY	0	0	0	21	11	0	0	1	0	0		100054	100318	2	0	3	0	0	ACE touchscreen question "Each time you did light DIY, about how long did you spend doing it?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F1021~ was collected from all participants who indicated that they spent time doing light DIY (e.g. pruning, watering the lawn) in the previous 4 weeks, as defined by their answers to ~F6164~	2012-01-05T00:00:00	2023-03-08T00:00:00	264249	300545	0	1	1	1
1031	Frequency of friend/family visits	0	0	0	21	11	0	0	1	0	0		100061	100327	2	0	3	0	0	ACE touchscreen question "How often do you visit friends or family or have them visit you?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If this varies, please give an average of how often<br>you visit or have had visits in the last year.<br>Include meeting with friends or family in environments<br>outside of the home such as in the park, at a sports<br>field, at a restaurant or pub.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	498788	588335	1	1	1	1
1050	Time spend outdoors in summer	0	0	0	11	0	0	0	1	0	0	hours/day	100055	100329	2	0	3	0	0	ACE touchscreen question "In a typical DAY in summer, how many hours do you spend outdoors?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 24 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If the time you spend outdoors in summer varies a lot, give the<br>average time per day. For example if you spend 1 hour a day on each<br>weekday and 4 hours a day on the weekend, the total hours in a week<br>is 13 (5 + 8), so you spend approximately 2 hours a day.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	498788	588335	1	1	1	1
1060	Time spent outdoors in winter	0	0	0	11	0	0	0	1	0	0	hours/day	100055	100329	2	0	3	0	0	ACE touchscreen question "In a typical DAY in winter, how many hours do you spend outdoors?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 24 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If the time you spend outdoors in winter varies a lot, give the<br>average time per day. For example if you spend 1 hour a day on each<br>weekday and 4 hours a day on the weekend, the total hours in a week<br>is 13 (5 + 8), so you spend approximately 2 hours a day.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	498788	588335	2	1	1	1
1070	Time spent watching television (TV)	0	0	0	11	0	0	0	1	0	0	hours/day	100054	100329	2	0	3	0	0	ACE touchscreen question "In a typical DAY, how many hours do you spend watching TV? (Put 0 if you do not spend any time doing it)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 24 then rejected</li><li>If answer > 8 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If the time you spend watching TV varies a lot, give<br>the average time for a 24 hour day in the last 4 weeks.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501508	592104	0	1	1	1
1080	Time spent using computer	0	0	0	11	0	0	0	1	0	0	hours/day	100054	100329	2	0	3	0	0	ACE touchscreen question "In a typical DAY, how many hours do you spend using the computer? (Do not include using a computer at work; put 0 if you do not spend any time doing it)" <p>The following checks were performed: <ul> <li>If answer < 0 then rejected</li> <li>If answer > 24 then rejected</li> <li>If answer > 6 then participant asked to confirm</li> </ul> <p>If the participant activated the Help button they were shown the message: <br> <table> <tr><td><i>If the time you spend on the computer varies a lot, give the average <br>time for a 24 hour day in the last 4 weeks. Remember not to include <br>time spent on a computer at work. <br></i></td></tr> </table> <p> This question was first asked in 2006 so needs to be interpreted in the light of technological development at that time when computers would generally mean either desktop or laptop PC systems. In 2019 the wording will be changed to<br>"In a typical DAY, how many hours do you spend using a computer/laptop, tablet or smartphone?"	2012-01-05T00:00:00	2023-03-08T00:00:00	498786	588333	0	1	1	1
1090	Time spent driving	0	0	0	11	0	0	0	1	0	0	hours/day	100054	100329	2	0	3	0	0	ACE touchscreen question "In a typical DAY, how many hours do you spend driving?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 24 then rejected</li><li>If answer > 6 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If the time you spend driving varies a lot, give the average time<br>for a 24 hour day in the last 4 weeks.<br>Include driving a car, bus, motorcycle, boat, truck etc.<br>Include all the driving that you do as part of work, getting to work<br>or outside of work.<br>If you do not drive please enter 0.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501295	591861	0	1	1	1
1100	Drive faster than motorway speed limit	0	0	0	21	11	0	0	1	0	0		100054	100334	2	0	3	0	0	ACE touchscreen question "How often do you drive faster than the speed limit on the motorway?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table> <p> At the time of asking (2006) the UK motorway speed limit was 70miles/hour.	2012-01-05T00:00:00	2023-03-08T00:00:00	501295	591861	0	1	1	1
1110	Length of mobile phone use	0	0	0	21	11	0	0	1	0	0		100053	100335	2	0	3	0	0	ACE touchscreen question "For approximately how many years have you been using a mobile phone at least once per week to make or receive calls?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Do not include time spent text messaging.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501507	592103	1	1	1	1
1120	Weekly usage of mobile phone in last 3 months	0	0	0	21	11	0	0	1	0	0		100053	100336	2	0	3	0	0	ACE touchscreen question "Over the last 3 months, on average how much time per week did you spend making or receiving calls on a mobile phone?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F1120~ was collected from participants who indicated they have used a mobile phone at least once per week in the past or do not know whether they have used or not, as defined by their answers to ~F1110~	2012-01-05T00:00:00	2023-03-08T00:00:00	430299	506239	2	1	1	1
1130	Hands-free device/speakerphone use with mobile phone in last 3 month	0	0	0	21	11	0	0	1	0	0		100053	100337	2	0	3	0	0	ACE touchscreen question "Over the last 3 months, how often have you used a hands-free device/speakerphone when making or receiving calls on your mobile?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F1130~ was collected from participants who indicated they have used a mobile phone at least once per week in the past or do not know whether they have used or not, as defined by their answers to ~F1110~	2012-01-05T00:00:00	2023-03-08T00:00:00	430299	506239	5	1	1	1
1140	Difference in mobile phone use compared to two years previously	0	0	0	21	11	0	0	1	0	0		100053	100338	2	0	3	0	0	ACE touchscreen question "Is there any difference between your mobile phone use now compared to two years ago?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F1140~ was collected from participants who indicated they have used a mobile phone at least once per week in the past or do not know whether they have used or not, as defined by their answers to ~F1110~	2012-01-05T00:00:00	2023-03-08T00:00:00	430299	506239	6	1	1	1
1150	Usual side of head for mobile phone use	0	0	0	21	11	0	0	1	0	0		100053	100339	2	0	3	0	0	ACE touchscreen question "On what side of the head do you usually use a mobile phone?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F1150~ was collected from participants who indicated they have used a mobile phone at least once per week in the past or do not know whether they have used or not, as defined by their answers to ~F1110~	2012-01-05T00:00:00	2023-03-08T00:00:00	430297	506237	8	1	1	1
1160	Sleep duration	0	0	0	11	0	0	0	1	0	0	hours/day	100057	100291	2	0	3	0	0	ACE touchscreen question "About how many hours sleep do you get in every 24 hours? (please include naps)"<p>The following checks were performed:<ul><li>If answer < 1 then rejected</li><li>If answer > 23 then rejected</li><li>If answer < 3 then participant asked to confirm</li><li>If answer > 12 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If the time you spend sleeping varies a lot, give the<br>average time for a 24 hour day in the last 4 weeks.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501504	592100	1	1	1	1
1170	Getting up in morning	0	0	0	21	11	0	0	1	0	0		100057	100341	2	0	3	0	0	ACE touchscreen question "On an average day, how easy do you find getting up in the morning?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If this varies a lot, answer this question in relation to the last 4 weeks.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	498783	588330	2	1	1	1
1180	Morning/evening person (chronotype)	0	0	0	21	11	0	0	1	0	0		100057	100342	2	0	3	0	0	ACE touchscreen question "Do you consider yourself to be?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If this varies a lot, answer this question in relation to the last 4 weeks.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	498781	588328	3	1	1	1
1190	Nap during day	0	0	0	21	11	0	0	1	0	0		100057	100343	2	0	3	0	0	ACE touchscreen question "Do you have a nap during the day?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If this varies a lot, answer this question in relation to the last 4 weeks.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501500	592096	4	1	1	1
1200	Sleeplessness / insomnia	0	0	0	21	11	0	0	1	0	0		100057	100343	2	0	3	0	0	ACE touchscreen question "Do you have trouble falling asleep at night or do you wake up in the middle of the night?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If this varies a lot, answer this question in relation to the last 4 weeks.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501500	592096	5	1	1	1
1210	Snoring	0	0	0	21	11	0	0	1	0	0		100057	100345	2	0	3	0	0	ACE touchscreen question "Does your partner or a close relative or friend complain about your snoring?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501500	592096	6	1	1	1
1220	Daytime dozing / sleeping	0	0	0	21	11	0	0	1	0	0		100057	100346	2	0	3	0	0	ACE touchscreen question "How likely are you to doze off or fall asleep during the daytime when you don't mean to? (e.g. when working, reading or driving)" <p>If the participant activated the Help button they were shown the message: <br> <table> <tr><td><i>If you are unsure, please provide an estimate or select Do not know. <br></i></td></tr> </table> <p>The option "All of the time" was removed during the Initial Assessment phase.	2012-01-05T00:00:00	2023-03-08T00:00:00	501500	592095	7	1	1	1
1239	Current tobacco smoking	0	0	0	21	11	0	0	1	0	0		100058	100347	2	0	3	0	0	ACE touchscreen question "Do you smoke tobacco now?"	2012-01-05T00:00:00	2023-03-08T00:00:00	501500	592096	2960	1	1	1
1249	Past tobacco smoking	0	0	0	21	11	0	0	1	0	0		100058	100348	2	0	3	0	0	ACE touchscreen question "In the past, how often have you smoked tobacco?"<p>~F1249~ was collected from all participants except those who indicated they currently smoke on most or all days, as defined by their answers to ~F1239~	2012-01-05T00:00:00	2023-03-08T00:00:00	464051	550833	2970	1	1	1
1259	Smoking/smokers in household	0	0	0	21	11	0	0	1	0	0		100058	100370	2	0	3	0	0	ACE touchscreen question "Does anyone in your household smoke?"<p>~F1259~ was collected from all participants except those who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~	2012-01-05T00:00:00	2023-03-08T00:00:00	461669	547463	3210	1	1	1
1269	Exposure to tobacco smoke at home	0	0	0	11	0	0	0	1	0	0	hours/week	100058	100291	2	0	3	0	0	ACE touchscreen question "At home, about how many hours per WEEK are you exposed to other people's tobacco smoke?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 168 then rejected</li><li>If answer > 100 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please give the number of hours in a typical week over the<br>last year that you have been exposed to other people's tobacco<br>smoke in the home environment.<br></i></td></tr></table><p>~F1269~ was collected from all participants except those who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~	2012-01-05T00:00:00	2023-03-08T00:00:00	464424	551233	3220	1	1	1
1279	Exposure to tobacco smoke outside home	0	0	0	11	0	0	0	1	0	0	hours/week	100058	100291	2	0	3	0	0	ACE touchscreen question "Outside of your home, about how many hours per WEEK are you exposed to other people's tobacco smoke?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 168 then rejected</li><li>If answer > 100 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please give the number of hours in a typical week over the<br>last year that you have been exposed to other people's tobacco<br>smoke in environments other than the home (include work, pubs,<br>restaurants etc).<br></i></td></tr></table><p>~F1279~ was collected from all participants except those who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~	2012-01-05T00:00:00	2023-03-08T00:00:00	464424	551233	3230	1	1	1
1289	Cooked vegetable intake	0	0	0	11	0	0	0	1	0	0	tablespoons/day	100052	100373	2	0	3	0	0	ACE touchscreen question "On average how many heaped tablespoons of COOKED vegetables would you eat per DAY? (Do not include potatoes; put '0' if you do not eat any)"<p>The following checks were performed:<ul><li>If answer > 50 then rejected</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year.<br>If you are unsure, please provide an estimate or select Do not know.<br>If you have less than one tablespoon a day select Less than one.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501498	592094	1	1	1	1
1299	Salad / raw vegetable intake	0	0	0	11	0	0	0	1	0	0	tablespoons/day	100052	100373	2	0	3	0	0	ACE touchscreen question "On average how many heaped tablespoons of SALAD or RAW vegetables would you eat per DAY? (Include lettuce, tomato in sandwiches; put '0' if you do not eat any)"<p>The following checks were performed:<ul><li>If answer > 50 then rejected</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year.<br>If you are unsure, please provide an estimate or select Do not know.<br>If you have less than one tablespoon a day select Less than one.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501498	592094	2	1	1	1
1309	Fresh fruit intake	0	0	0	11	0	0	0	1	0	0	pieces/day	100052	100373	2	0	3	0	0	ACE touchscreen question "About how many pieces of FRESH fruit would you eat per DAY? (Count one apple, one banana, 10 grapes etc as one piece; put '0' if you do not eat any)"<p>The following checks were performed:<ul><li>If answer > 50 then rejected</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501498	592094	3	1	1	1
1319	Dried fruit intake	0	0	0	11	0	0	0	1	0	0	pieces/day	100052	100373	2	0	3	0	0	ACE touchscreen question "About how many pieces of DRIED fruit would you eat per DAY? (Count one prune, one dried apricot, 10 raisins as one piece; put '0' if you do not eat any)"<p>The following checks were performed:<ul><li>If answer > 100 then rejected</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501497	592093	4	1	1	1
1329	Oily fish intake	0	0	0	21	11	0	0	1	0	0		100052	100377	2	0	3	0	0	ACE touchscreen question "How often do you eat oily fish? (e.g. sardines, salmon, mackerel, herring)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year.<br>If you are unsure, please provide an estimate or select Do not know.<br>Oily fish include:<br>  Salmon  Anchovies<br>  Trout   Swordfish<br>  Mackerel  Bloater<br>  Herring  Cacha<br>  Sardines  Carp<br>  Pilchards  Hilsa<br>  Kipper   Jack fish<br>  Eel   Katla<br>  Whitebait  Orange roughy<br>  Tuna (fresh only) Pangas<br>  Sprats<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501497	592093	5	1	1	1
1339	Non-oily fish intake	0	0	0	21	11	0	0	1	0	0		100052	100377	2	0	3	0	0	ACE touchscreen question "How often do you eat other types of fish? (e.g. cod, tinned tuna, haddock)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501497	592093	6	1	1	1
1349	Processed meat intake	0	0	0	21	11	0	0	1	0	0		100052	100377	2	0	3	0	0	ACE touchscreen question "How often do you eat processed meats (such as bacon, ham, sausages, meat pies, kebabs, burgers, chicken nuggets)?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501496	592092	7	1	1	1
1359	Poultry intake	0	0	0	21	11	0	0	1	0	0		100052	100377	2	0	3	0	0	ACE touchscreen question "How often do you eat chicken, turkey or other poultry? (Do not count processed meats)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table> <p>Poultry include fowl (e.g. chicken, turkey, quail), waterfowl (e.g. duck, goose) and game (e.g. pheasant).	2012-01-05T00:00:00	2023-03-08T00:00:00	501496	592092	8	1	1	1
1369	Beef intake	0	0	0	21	11	0	0	1	0	0		100052	100377	2	0	3	0	0	ACE touchscreen question "How often do you eat beef? (Do not count processed meats)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501496	592092	9	1	1	1
1379	Lamb/mutton intake	0	0	0	21	11	0	0	1	0	0		100052	100377	2	0	3	0	0	ACE touchscreen question "How often do you eat lamb/mutton? (Do not count processed meats)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501496	592092	10	1	1	1
1389	Pork intake	0	0	0	21	11	0	0	1	0	0		100052	100377	2	0	3	0	0	ACE touchscreen question "How often do you eat pork? (Do not count processed meats such as bacon or ham)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501494	592090	11	1	1	1
1408	Cheese intake	0	0	0	21	11	0	0	1	0	0		100052	100377	2	0	3	0	0	ACE touchscreen question "How often do you eat cheese? (Include cheese in pizzas, quiches, cheese sauce etc)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F1408~ was collected from all participants except those who indicated that they never eat dairy products, as defined by their answers to ~F6144~	2012-01-05T00:00:00	2023-03-08T00:00:00	490352	578128	15	1	1	1
1418	Milk type used	0	0	0	21	11	0	0	1	0	0		100052	100387	2	0	3	0	0	ACE touchscreen question "What type of milk do you mainly use?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you use more than one type of milk, please select the one that<br>you drink the most.<br>If you are unsure, select Do not know.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501430	592007	16	1	1	1
1428	Spread type	0	0	0	21	11	0	0	1	0	0		100052	100388	2	0	3	0	0	ACE touchscreen question "What type of spread do you mainly use?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you use more than one type of spread, please select the one that<br>you use the most.<br>If you are unsure, select Do not know.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	498773	588320	17	1	1	1
1438	Bread intake	0	0	0	11	0	0	0	1	0	0	slices/week	100052	100373	2	0	3	0	0	ACE touchscreen question "How many slices of bread do you eat each WEEK?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 250 then rejected</li><li>If answer > 50 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>For other types of bread:<br> - one bread roll = 2 slices<br> - one pitta bread = 2 slices<br><br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	498773	588320	20	1	1	1
1448	Bread type	0	0	0	21	11	0	0	1	0	0		100052	100391	2	0	3	0	0	ACE touchscreen question "What type of bread do you mainly eat?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you eat more than one type of bread, please select the one<br>that you eat the most.<br>If you are unsure, select Do not know.<br></i></td></tr></table><p>~F1448~ was collected from all participants except those who indicated that they do not eat bread or less than one slice each week, as defined by their answers to ~F1438~	2012-01-05T00:00:00	2023-03-08T00:00:00	484079	567866	21	1	1	1
1458	Cereal intake	0	0	0	11	0	0	0	1	0	0	bowls/week	100052	100373	2	0	3	0	0	ACE touchscreen question "How many bowls of cereal do you eat a WEEK?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 99 then rejected</li><li>If answer > 14 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501398	591973	23	1	1	1
1468	Cereal type	0	0	0	21	11	0	0	1	0	0		100052	100393	2	0	3	0	0	ACE touchscreen question "What type of cereal do you mainly eat?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you eat more than one type of cereal, please select the one that<br>you eat the most. If you are unsure, select Do not know.<br></i></td></tr></table><p>~F1468~ was collected from all participants except those who indicated that they do not eat cereal or less than one bowl of cereal each week, as defined by their answers to ~F1458~	2012-01-05T00:00:00	2023-03-08T00:00:00	420225	488278	24	1	1	1
1478	Salt added to food	0	0	0	21	11	0	0	1	0	0		100052	100394	2	0	3	0	0	ACE touchscreen question "Do you add salt to your food? (Do not include salt used in cooking)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year<br>If you are unsure, please provide an estimate or select Do not know.<br><br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501494	592090	25	1	1	1
1488	Tea intake	0	0	0	11	0	0	0	1	0	0	cups/day	100052	100373	2	0	3	0	0	ACE touchscreen question "How many cups of tea do you drink each DAY? (Include black and green tea)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 99 then rejected</li><li>If answer > 20 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501494	592090	26	1	1	1
1498	Coffee intake	0	0	0	11	0	0	0	1	0	0	cups/day	100052	100373	2	0	3	0	0	ACE touchscreen question "How many cups of coffee do you drink each DAY? (Include decaffeinated coffee)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 99 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501494	592090	27	1	1	1
1508	Coffee type	0	0	0	21	11	0	0	1	0	0		100052	100397	2	0	3	0	0	ACE touchscreen question "What type of coffee do you usually drink?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you drink more than one type of coffee, please select the one that<br>you drink the most. If you are unsure, select Do not know.<br></i></td></tr></table><p>~F1508~ was collected from participants who indicated that they drank at least 1 cup of coffee each day or less than one cup each day, as defined by their answers to ~F1498~	2012-01-05T00:00:00	2023-03-08T00:00:00	392743	461128	28	1	1	1
1518	Hot drink temperature	0	0	0	21	11	0	0	1	0	0		100052	100398	2	0	3	0	0	ACE touchscreen question "How do you like your hot drinks? (Such as coffee or tea)"	2012-01-05T00:00:00	2023-03-08T00:00:00	501494	592090	29	1	1	1
1528	Water intake	0	0	0	11	0	0	0	1	0	0	glasses/day	100052	100373	2	0	3	0	0	ACE touchscreen question "How many glasses of water do you drink each DAY? "<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 99 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please provide an average considering your intake over the last year.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501494	592090	30	1	1	1
1538	Major dietary changes in the last 5 years	0	0	0	21	11	0	0	1	0	0		100052	100400	2	0	3	0	0	ACE touchscreen question "Have you made any major changes to your diet in the last 5 years?"	2012-01-05T00:00:00	2023-03-08T00:00:00	501494	592090	31	1	1	1
1548	Variation in diet	0	0	0	21	11	0	0	1	0	0		100052	100401	2	0	3	0	0	ACE touchscreen question "Does your diet vary much from week to week?"	2012-01-05T00:00:00	2023-03-08T00:00:00	498773	588320	32	1	1	1
1558	Alcohol intake frequency.	0	0	0	21	11	0	0	1	0	0		100051	100402	2	0	3	0	0	ACE touchscreen question "About how often do you drink alcohol?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If this varies a lot, please provide an average considering your intake<br>over the last year<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501494	592090	1	1	1	1
1568	Average weekly red wine intake	0	0	0	11	0	0	0	1	0	0	glasses	100051	100291	2	0	3	0	0	ACE touchscreen question "In an average WEEK, how many glasses of RED wine would you drink? (There are six glasses in an average bottle)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 250 then rejected</li><li>If answer > 100 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please include sparkling red wine here.<br></i></td></tr></table><p>~F1568~ was collected from participants who indicated they drink alcohol more often than once or twice a week, as defined by their answers to ~F1558~	2012-01-05T00:00:00	2023-03-08T00:00:00	349758	410807	9	1	1	1
1578	Average weekly champagne plus white wine intake	0	0	0	11	0	0	0	1	0	0	glasses	100051	100291	2	0	3	0	0	ACE touchscreen question "In an average WEEK, how many glasses of WHITE wine or champagne would you drink? (There are six glasses in an average bottle)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 250 then rejected</li><li>If answer > 100 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please include sparkling white wine here.<br></i></td></tr></table><p>~F1578~ was collected from participants who indicated they drink alcohol more often than once or twice a week, as defined by their answers to ~F1558~	2012-01-05T00:00:00	2023-03-08T00:00:00	349757	410806	10	1	1	1
1588	Average weekly beer plus cider intake	0	0	0	11	0	0	0	1	0	0	pints	100051	100291	2	0	3	0	0	ACE touchscreen question "In an average WEEK, how many pints of beer or cider would you drink? (Include bitter, lager, stout, ale, Guinness)" <p>The following checks were performed: <ul> <li>If answer < 0 then rejected</li> <li>If answer > 250 then rejected</li> <li>If answer > 100 then participant asked to confirm</li> </ul> <p>~F1588~ was collected from participants who indicated they drink alcohol more often than one to three times per month, as defined by their answers to ~F1558~	2012-01-05T00:00:00	2023-03-08T00:00:00	349757	410806	11	1	1	1
1598	Average weekly spirits intake	0	0	0	11	0	0	0	1	0	0	measures	100051	100291	2	0	3	0	0	ACE touchscreen question "In an average WEEK, how many measures of spirits or liqueurs would you drink? (there are 25 standard measures in a normal sized bottle;  spirits include drinks such as whisky, gin, rum, vodka, brandy)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 250 then rejected</li><li>If answer > 100 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>For mixed drinks that contain spirits or liqueurs, count one bottle<br>as one measure. There is a question later on alcopops<br></i></td></tr></table><p>~F1598~ was collected from participants who indicated they drink alcohol more often than once or twice a week, as defined by their answers to ~F1558~	2012-01-05T00:00:00	2023-03-08T00:00:00	349757	410806	12	1	1	1
1608	Average weekly fortified wine intake	0	0	0	11	0	0	0	1	0	0	glasses	100051	100291	2	0	3	0	0	ACE touchscreen question "In an average WEEK, how many glasses of fortified wine would you drink? (There are 12 glasses in an average bottle) (Fortified wines include drinks such as sherry, port, vermouth)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 250 then rejected</li><li>If answer > 100 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Fortified wines include: Sherry, Port, Vermouth, Muscat,<br>Madeira, Malaga, Tokay, Frontignan, Frontignac.<br></i></td></tr></table><p>~F1608~ was collected from participants who indicated they drink alcohol more often than once or twice a week, as defined by their answers to ~F1558~	2012-01-05T00:00:00	2023-03-08T00:00:00	349757	410806	13	1	1	1
1618	Alcohol usually taken with meals	0	0	0	21	11	0	0	1	0	0		100051	100416	2	0	3	0	0	ACE touchscreen question "When you drink alcohol is it usually with meals?"<p>~F1618~ was collected from participants who indicated they drink alcohol, as defined by their answers to ~F1558~	2012-01-05T00:00:00	2023-03-08T00:00:00	396832	471579	15	1	1	1
1628	Alcohol intake versus 10 years previously	0	0	0	21	11	0	0	1	0	0		100051	100417	2	0	3	0	0	ACE touchscreen question "Compared to 10 years ago, do you drink?"<p>~F1628~ was collected from participants who indicated they drink alcohol, as defined by their answers to ~F1558~	2012-01-05T00:00:00	2023-03-08T00:00:00	460947	544590	16	1	1	1
1647	Country of birth (UK/elsewhere)	0	0	0	21	11	0	0	1	0	0		100033	100420	2	0	2	0	0	ACE touchscreen question "Where were you born?" <p> Participants who indicated they were born inside the United Kingdom were asked during the verbal interview in what area they had been born (~F129~ and ~F130~). <p> Participants who indicated they were born outside the United Kingdom and Republic of Ireland were asked during the verbal interview in what country they had been born (~F20115~) and when they had immigrated (~F3659~). <br><br>This question was dropped from the touchscreen protocol on 24/10/2016.	2012-01-05T00:00:00	2022-03-09T00:00:00	501477	533471	1	1	1	1
1677	Breastfed as a baby	0	0	0	21	11	0	0	1	0	0		100033	100349	2	0	2	0	0	ACE touchscreen question "Were you breastfed when you were a baby?" <br><br>This question was dropped from the touchscreen protocol on 24/10/2016.	2012-01-05T00:00:00	2022-03-09T00:00:00	501477	533471	2	1	1	1
1687	Comparative body size at age 10	0	0	0	21	11	0	0	1	0	0		100033	100428	2	0	2	0	0	ACE touchscreen question "When you were 10 years old, compared to average would you describe yourself as:" <br><br>This question was dropped from the touchscreen protocol on 24/10/2016.	2012-01-05T00:00:00	2022-03-09T00:00:00	501477	533471	3	1	1	1
1697	Comparative height size at age 10	0	0	0	21	11	0	0	1	0	0		100033	100429	2	0	2	0	0	ACE touchscreen question "When you were 10 years old, compared to average would you describe yourself as:" <br><br>This question was dropped from the touchscreen protocol on 24/10/2016.	2012-01-05T00:00:00	2022-03-09T00:00:00	501477	533471	4	1	1	1
1707	Handedness (chirality/laterality)	0	0	0	21	11	0	0	1	0	0		100033	100430	2	0	2	0	0	ACE touchscreen question "Are you right or left handed?" <br><br>This question was dropped from the touchscreen protocol on 24/10/2016.	2012-01-05T00:00:00	2022-03-09T00:00:00	501477	533471	5	1	1	1
1717	Skin colour	0	0	0	21	11	0	0	1	0	0		100055	100431	2	0	2	0	0	ACE touchscreen question "What best describes the colour of your skin without tanning?" <p>If the participant activated the Help button they were shown the message: <br> <table> <tr><td><i>If you are unsure, please provide an estimate or select Do not know. <br></i></td></tr> </table> <br> <br>This question was dropped from the touchscreen protocol on 24/10/2016.	2012-01-05T00:00:00	2022-03-09T00:00:00	501476	533470	3	1	1	1
1727	Ease of skin tanning	0	0	0	21	11	0	0	1	0	0		100055	100432	2	0	2	0	0	ACE touchscreen question "What would happen to your skin if it was repeatedly exposed to bright sunlight without any protection?" <br><br>This question was dropped from the touchscreen protocol on 24/10/2016.	2012-01-05T00:00:00	2016-11-03T00:00:00	498276	529700	4	1	1	1
1737	Childhood sunburn occasions	0	0	0	11	0	0	0	1	0	0	times	100055	100291	2	0	2	0	0	ACE touchscreen question "Before the age of 15, how many times did you suffer sunburn that was painful for at least 2 days or caused blistering?" <p>The following checks were performed: <ul> <li>If answer < 0 then rejected</li> <li>If answer > 999 then rejected</li> <li>If answer > 20 then participant asked to confirm</li> </ul> <p>If the participant activated the Help button they were shown the message: <br> <table> <tr><td><i>If you are unsure, please provide an estimate or select Do not know. <br></i></td></tr> </table> <br>This question was dropped from the touchscreen protocol on 24/10/2016.	2012-01-05T00:00:00	2016-11-03T00:00:00	498276	529700	5	1	1	1
1747	Hair colour (natural, before greying)	0	0	0	21	11	0	0	1	0	0		100055	100434	2	0	2	0	0	ACE touchscreen question "What best describes your natural hair colour? (If your hair colour is grey, the colour before you went grey)" <p>If the participant activated the Help button they were shown the message: <br> <table> <tr><td><i>If you are unsure, please select the colour closest to your natural <br>adult hair colour or select Do not know. <br> <br></i></td></tr> </table> This question was dropped from the touchscreen protocol on 24/10/2016.	2012-01-05T00:00:00	2022-03-09T00:00:00	501476	533470	6	1	1	1
1757	Facial ageing	0	0	0	21	11	0	0	1	0	0		100055	100435	2	0	3	0	0	ACE touchscreen question "Do people say that you look:"	2012-01-05T00:00:00	2023-03-08T00:00:00	498770	588317	7	1	1	1
1767	Adopted as a child	0	0	0	21	11	0	0	1	0	0		100033	100349	2	0	3	0	0	ACE touchscreen question "Were you adopted as a child?"	2012-01-05T00:00:00	2023-03-08T00:00:00	501491	592087	6	1	1	1
1777	Part of a multiple birth	0	0	0	21	11	0	0	1	0	0		100033	100349	2	0	2	0	0	ACE touchscreen question "Are you a twin, triplet or other multiple birth?" <p>~F1777~ was collected from all participants except those who indicated they were adopted as a child, as defined by their answers to ~F1767~ <br><br>This question was dropped from the touchscreen protocol on 24/10/2016.	2012-01-05T00:00:00	2022-03-09T00:00:00	494137	525661	7	1	1	1
1787	Maternal smoking around birth	0	0	0	21	11	0	0	1	0	0		100033	100349	2	0	2	0	0	ACE touchscreen question "Did your mother smoke regularly around the time when you were born?" <p>~F1787~ was collected from all participants except those who indicated they were adopted as a child, as defined by their answers to ~F1767~ <br><br>This question was dropped from the touchscreen protocol on 24/10/2016.	2012-01-05T00:00:00	2022-03-09T00:00:00	494137	525661	8	1	1	1
1797	Father still alive	0	0	0	21	11	0	0	1	0	0		100034	100349	2	0	3	0	0	ACE touchscreen question "Is your father still alive?"<p>~F1797~ was collected from all participants except those who indicated they were adopted as a child, as defined by their answers to ~F1767~	2012-01-05T00:00:00	2023-03-08T00:00:00	494177	583513	1	1	1	1
1807	Father's age at death	0	0	0	11	0	0	0	1	0	0	years	100034	100291	2	0	3	0	0	ACE touchscreen question "What was his age when he died?"<p>The following checks were performed:<ul><li>If answer < 10 then rejected</li><li>If answer > 122 then rejected</li><li>If answer < 15 then participant asked to confirm</li><li>If answer > 105 then participant asked to confirm</li></ul><p>~F1807~ was collected from participants who indicated their father has died, as defined by their answers to ~F1797~ or, if they are adopted, their adopted father has died, as defined by their answers to ~F1797~	2012-01-05T00:00:00	2023-03-08T00:00:00	389815	455947	4	1	1	1
1835	Mother still alive	0	0	0	21	11	0	0	1	0	0		100034	100349	2	0	3	0	0	ACE touchscreen question "Is your mother still alive?"<p>~F1835~ was collected from all participants except those who indicated they were adopted as a child, as defined by their answers to ~F1767~	2012-01-05T00:00:00	2023-03-08T00:00:00	494177	583513	12	1	1	1
1845	Mother's age	0	0	0	11	0	0	0	1	0	0	years	100034	100291	2	0	3	0	0	ACE touchscreen question "What is her age now?"<p>The following checks were performed:<ul><li>If answer < Participants age + 10 years then rejected</li><li>If answer > 122 then rejected</li><li>If answer < Participants age + 14 years then participant asked to confirm</li><li>If answer > 105 then participant asked to confirm</li></ul><p>~F1845~ was collected from participants who indicated their mother is still alive, as defined by their answers to ~F1835~ or, if they are adopted, their adopted mother is still alive, as defined by their answers to ~F1835~	2012-01-05T00:00:00	2023-03-08T00:00:00	199376	222064	14	1	1	1
1873	Number of full brothers	0	0	0	11	0	0	0	1	0	0		100034	100291	2	0	3	0	0	ACE touchscreen question "How many brothers do you have? (Please include those who have died, and twin brothers. Do not include half-brothers, step-brothers or adopted brothers)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 25 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>~F1873~ was collected from participants who indicated they were not adopted as a child, as defined by their answers to ~F1767~	2012-01-05T00:00:00	2023-03-08T00:00:00	494174	583510	23	1	1	1
1883	Number of full sisters	0	0	0	11	0	0	0	1	0	0		100034	100291	2	0	3	0	0	ACE touchscreen question "How many sisters do you have? (Please include those who have died, and twin sisters. Do not include half-sisters, step-sisters or adopted sisters)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 25 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>~F1883~ was collected from participants who indicated they were not adopted as a child, as defined by their answers to ~F1767~	2012-01-05T00:00:00	2023-03-08T00:00:00	494174	583510	25	1	1	1
1920	Mood swings	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	3	0	0	ACE touchscreen question "Does your mood often go up and down?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501487	592083	1	1	1	1
1930	Miserableness	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	3	0	0	ACE touchscreen question "Do you ever feel 'just miserable' for no reason?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501487	592083	2	1	1	1
1940	Irritability	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	3	0	0	ACE touchscreen question "Are you an irritable person?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501487	592083	3	1	1	1
1950	Sensitivity / hurt feelings	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	3	0	0	ACE touchscreen question "Are your feelings easily hurt?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501486	592082	4	1	1	1
1960	Fed-up feelings	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	3	0	0	ACE touchscreen question "Do you often feel 'fed-up'?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501486	592082	5	1	1	1
1970	Nervous feelings	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	3	0	0	ACE touchscreen question "Would you call yourself a nervous person?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501486	592082	6	1	1	1
1980	Worrier / anxious feelings	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	3	0	0	ACE touchscreen question "Are you a worrier?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501485	592081	7	1	1	1
1990	Tense / 'highly strung'	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	3	0	0	ACE touchscreen question "Would you call yourself tense or 'highly strung'?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501485	592081	8	1	1	1
2000	Worry too long after embarrassment	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	3	0	0	ACE touchscreen question "Do you worry too long after an embarrassing experience?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501485	592081	9	1	1	1
2010	Suffer from 'nerves'	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	3	0	0	ACE touchscreen question "Do you suffer from 'nerves'?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501485	592081	10	1	1	1
2020	Loneliness, isolation	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	3	0	0	ACE touchscreen question "Do you often feel lonely?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501484	592080	11	1	1	1
2030	Guilty feelings	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	3	0	0	ACE touchscreen question "Are you often troubled by feelings of guilt?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501484	592080	12	1	1	1
2040	Risk taking	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	3	0	0	ACE touchscreen question "Would you describe yourself as someone who takes risks?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Work through these questions quickly and do not think<br>about the exact meaning of the question<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501484	592080	13	1	1	1
2050	Frequency of depressed mood in last 2 weeks	0	0	0	21	11	0	0	1	0	0		100060	100484	2	0	3	0	0	ACE touchscreen question "Over the past two weeks, how often have you felt down, depressed or hopeless?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Answer this question thinking about the past 2 weeks.<br>If you are unsure, please provide an estimate or select Do not know.<br><br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501484	592080	20	1	1	1
2060	Frequency of unenthusiasm / disinterest in last 2 weeks	0	0	0	21	11	0	0	1	0	0		100060	100484	2	0	3	0	0	ACE touchscreen question "Over the past two weeks, how often have you had little interest or pleasure in doing things?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Answer this question thinking about the past 2 weeks.<br>If you are unsure, please provide an estimate or select Do not know.<br><br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501483	592079	21	1	1	1
2070	Frequency of tenseness / restlessness in last 2 weeks	0	0	0	21	11	0	0	1	0	0		100060	100484	2	0	3	0	0	ACE touchscreen question "Over the past two weeks, how often have you felt tense, fidgety or restless?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Answer this question thinking about the past 2 weeks.<br>If you are unsure, please provide an estimate or select Do not know.<br><br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501482	592078	22	1	1	1
2080	Frequency of tiredness / lethargy in last 2 weeks	0	0	0	21	11	0	0	1	0	0		100060	100484	2	0	3	0	0	ACE touchscreen question "Over the past two weeks, how often have you felt tired or had little energy?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Answer this question thinking about the past 2 weeks.<br>If you are unsure, please provide an estimate or select Do not know.<br><br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501481	592077	23	1	1	1
2090	Seen doctor (GP) for nerves, anxiety, tension or depression	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	3	0	0	ACE touchscreen question "Have you ever seen a general practitioner (GP) for nerves, anxiety, tension or depression?"	2012-01-05T00:00:00	2023-03-08T00:00:00	501480	592076	24	1	1	1
2100	Seen a psychiatrist for nerves, anxiety, tension or depression	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	3	0	0	ACE touchscreen question "Have you ever seen a psychiatrist for nerves, anxiety, tension or depression?"	2012-01-05T00:00:00	2023-03-08T00:00:00	501480	592076	25	1	1	1
2110	Able to confide	0	0	0	21	11	0	0	1	0	0		100061	100501	2	0	3	0	0	ACE touchscreen question "How often are you able to confide in someone close to you?"	2012-01-05T00:00:00	2023-03-08T00:00:00	501479	592075	4	1	1	1
2129	Answered sexual history questions	0	0	0	21	11	0	0	1	0	0		100056	100503	2	0	3	0	0	ACE touchscreen question "The next section contains questions about your sexual history. If you feel that a question is too sensitive, you can skip the question or skip the entire section if you prefer."	2012-01-05T00:00:00	2023-03-08T00:00:00	501474	592070	1	1	1	1
2139	Age first had sexual intercourse	0	0	0	11	0	0	0	1	0	0	years	100056	100504	2	0	3	0	0	ACE touchscreen question "What was your age when you first had sexual intercourse? (Sexual intercourse includes vaginal, oral or anal intercourse)"<p>The following checks were performed:<ul><li>If answer < 3 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 12 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Sexual intercourse includes vaginal, oral or anal intercourse.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	456704	537467	2	1	1	1
2149	Lifetime number of sexual partners	0	0	0	11	0	0	0	1	0	0		100056	100291	2	0	3	0	0	ACE touchscreen question "About how many sexual partners have you had in your lifetime?"<p>The following checks were performed:<ul><li>If answer < 1 then rejected</li><li>If answer > 99997 then rejected</li><li>If answer > 99 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Sexual intercourse includes vaginal, oral or anal intercourse.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2149~ was collected from all participants except those who indicated they never had had sexual intercourse, as defined by their answers to ~F2139~	2012-01-05T00:00:00	2023-03-08T00:00:00	452522	532560	3	1	1	1
2159	Ever had same-sex intercourse	0	0	0	21	11	0	0	1	0	0		100056	100352	2	0	3	0	0	ACE touchscreen question "Have you ever had sexual intercourse with someone of the same sex?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Sexual intercourse includes vaginal, oral or anal intercourse.<br></i></td></tr></table><p>~F2159~ was collected from all participants except those who indicated they never had had sexual intercourse, as defined by their answers to ~F2139~	2012-01-05T00:00:00	2023-03-08T00:00:00	452522	532560	4	1	1	1
2178	Overall health rating	0	0	0	21	11	0	0	1	0	0		100042	100508	2	0	3	0	0	ACE touchscreen question "In general how would you rate your overall health?"	2012-01-05T00:00:00	2023-03-08T00:00:00	501473	592069	1	1	1	1
2188	Long-standing illness, disability or infirmity	0	0	0	21	11	0	0	1	0	0		100042	100349	2	0	3	0	0	ACE touchscreen question "Do you have any long-standing illness, disability or infirmity?"	2012-01-05T00:00:00	2023-03-08T00:00:00	501473	592069	2	1	1	1
2207	Wears glasses or contact lenses	0	0	0	21	11	0	0	1	0	0		100041	100352	2	0	3	0	0	ACE touchscreen question "Do you wear glasses or contact lenses to correct your vision?"	2012-01-05T00:00:00	2023-03-08T00:00:00	501472	592068	1	1	1	1
2217	Age started wearing glasses or contact lenses	0	0	0	11	0	0	0	1	0	0		100041	100291	2	0	3	0	0	ACE touchscreen question "What age did you first start to wear glasses or contact lenses?"<p>The following checks were performed:<ul><li>If answer < 1 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 4 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2217~ was collected from participants who indicated they wear glasses or contact lenses to correct their vision, as defined by their answers to ~F2207~	2012-01-05T00:00:00	2023-03-08T00:00:00	447447	525185	2	1	1	1
2227	Other eye problems	0	0	0	21	11	0	0	1	0	0		100041	100352	2	0	3	0	0	ACE touchscreen question "Do you have any other problems with your eyes or eyesight?"	2012-01-05T00:00:00	2023-03-08T00:00:00	501472	592068	12	1	1	1
2237	Plays computer games	0	0	0	21	11	0	0	1	0	0		100053	100639	2	0	3	0	0	ACE touchscreen question "Do you play computer games?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Answer this question thinking about the past year.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501472	592068	9	1	1	1
2247	Hearing difficulty/problems	0	0	0	21	11	0	0	1	0	0		100043	100631	2	0	3	0	0	ACE touchscreen question "Do you have any difficulty with your hearing?"<p>The option to identify oneself as completely deaf was added in 2009 alongside the introduction of the speech-in-noise test.	2012-01-05T00:00:00	2023-03-08T00:00:00	498751	588298	1	1	1	1
2257	Hearing difficulty/problems with background noise	0	0	0	21	11	0	0	1	0	0		100043	100349	2	0	3	0	0	ACE touchscreen question "Do you find it difficult to follow a conversation if there is background noise (such as TV, radio, children playing)?"<p>~F2257~ was collected from all participants except those who indicated they were completely deaf, as defined by their answers to ~F2247~	2012-01-05T00:00:00	2023-03-08T00:00:00	501342	591922	3	1	1	1
2267	Use of sun/uv protection	0	0	0	21	11	0	0	1	0	0		100055	100536	2	0	3	0	0	ACE touchscreen question "Do you wear sun protection (e.g. sunscreen lotion, hat) when you spend time outdoors in the summer?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	498751	588298	8	1	1	1
2277	Frequency of solarium/sunlamp use	0	0	0	11	0	0	0	1	0	0	times/year	100055	100537	2	0	3	0	0	ACE touchscreen question "How many times a year would you use a solarium or sunlamp?"<p>The following checks were performed:<ul><li>If answer > 9999 then rejected</li><li>If answer > 400 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	498751	588298	9	1	1	1
2296	Falls in the last year	0	0	0	21	11	0	0	1	0	0		100042	100539	2	0	3	0	0	ACE touchscreen question "In the last year have you had any falls?"	2012-01-05T00:00:00	2023-03-08T00:00:00	501471	592067	3	1	1	1
2306	Weight change compared with 1 year ago	0	0	0	21	11	0	0	1	0	0		100042	100540	2	0	3	0	0	ACE touchscreen question "Compared with one year ago, has your weight changed?"	2012-01-05T00:00:00	2023-03-08T00:00:00	501471	592067	4	1	1	1
2316	Wheeze or whistling in the chest in last year	0	0	0	21	11	0	0	1	0	0		100037	100349	2	0	3	0	0	ACE touchscreen question "In the last year have you ever had wheeze or whistling in the chest?"	2012-01-05T00:00:00	2023-03-08T00:00:00	501470	592066	1	1	1	1
2335	Chest pain or discomfort	0	0	0	21	11	0	0	1	0	0		100039	100349	2	0	3	0	0	ACE touchscreen question "Do you ever have any pain or discomfort in your chest?"	2012-01-05T00:00:00	2023-03-08T00:00:00	501468	592064	1	1	1	1
2345	Ever had bowel cancer screening	0	0	0	21	11	0	0	1	0	0		100040	100349	2	0	3	0	0	ACE touchscreen question "Have you ever had a screening test for bowel (colorectal) cancer? (Please include tests for blood in the stool/faeces or a colonoscopy or a sigmoidoscopy)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Screening tests for bowel or colorectal cancer include:<br> - FOBT (faecal occult blood test) - this is when you<br>   are given a set of cards and asked to smear a part<br>   of your stool on three separate occasions onto the<br>   cards and then return the cards to be tested for<br>   blood.<br> - Sigmoidoscopy - a tube is used to examine the lower<br>   bowel. This is usually done in a doctor's office<br>   without pain relief.<br> - Colonoscopy - a long tube is used the examine the<br>   whole large bowel; you would usually have to drink<br>   a large amount of special liquid to prepare the<br>   bowel, and you would be given a sedative medication<br>   for the procedure.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501467	592063	1	1	1	1
2355	Most recent bowel cancer screening	0	0	0	11	0	0	0	1	0	0	years	100040	100567	2	0	3	0	0	ACE touchscreen question "How many years ago was the most recent one of these tests?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age - 5 years then rejected</li><li>If answer > 20 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2355~ was collected from participants who indicated they have had a screening test for bowel (colorectal) cancer, as indicated by their answers to ~F2345~	2012-01-05T00:00:00	2023-03-08T00:00:00	189073	217191	2	1	1	1
2365	Ever had prostate specific antigen (PSA) test	0	0	0	21	11	0	0	1	0	1		100040	100349	2	0	3	0	0	ACE touchscreen question "Have you ever had a blood test for prostate cancer (prostate specific antigen or PSA test)?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, select Do not know.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	228611	272512	3	1	1	1
2375	Relative age of first facial hair	0	0	0	21	11	0	0	1	0	1		100070	100570	2	0	2	0	0	ACE touchscreen question "When did you start to grow facial hair?" <p>If the participant activated the Help button they were shown the message: <br> <table> <tr><td><i>If you are unsure, please provide an estimate or select Do not know. <br></i></td></tr> </table> <br><br>This question was dropped from the touchscreen protocol on 24/10/2016.	2012-01-05T00:00:00	2016-11-03T00:00:00	227158	242470	1	1	1	1
2385	Relative age voice broke	0	0	0	21	11	0	0	1	0	1		100070	100570	2	0	2	0	0	ACE touchscreen question "When did your voice break?" <p>If the participant activated the Help button they were shown the message: <br> <table> <tr><td><i>If you are unsure, please provide an estimate or select Do not know. <br></i></td></tr> </table> <br> This question was dropped from the touchscreen protocol on 24/10/2016.	2012-01-05T00:00:00	2016-11-03T00:00:00	227158	242470	2	1	1	1
2395	Hair/balding pattern	0	0	0	21	11	0	0	1	0	1		100070	100572	2	0	3	0	0	ACE touchscreen question "Which of the following best describes your hair/balding pattern?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br><br>[Illustrations presented in this question have been adapted from<br>Giles et al. 2002 Cancer Epidemiol Biomarkers Prev]<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	227386	270794	3	1	1	1
2405	Number of children fathered	0	0	0	11	0	0	0	1	0	1		100070	100291	2	0	3	0	0	ACE touchscreen question "How many children have you fathered?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 200 then rejected</li><li>If answer > 15 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	227386	270794	4	1	1	1
2415	Had major operations	0	0	0	21	11	0	0	1	0	1		100047	100603	2	0	3	0	0	ACE touchscreen question "Have you had any major operations? (For example, operations that required an overnight stay in hospital)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure if you have had a 'major' operation<br>select Do not know and you will be asked about this by<br>an interviewer later during this visit.<br></i></td></tr></table><p>~F2415~ is male question equivalent of female question ~F2844~	2012-01-05T00:00:00	2023-03-08T00:00:00	228610	272511	1	1	1	1
2443	Diabetes diagnosed by doctor	0	0	0	21	11	0	0	1	0	0		100044	100349	2	0	3	0	0	ACE touchscreen question "Has a doctor ever told you that you have diabetes?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure if you have been told you had diabetes,<br>select Do not know and you will be asked about this by an<br>interviewer later during this visit.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501460	592056	12	1	1	1
2453	Cancer diagnosed by doctor	0	0	0	21	11	0	0	1	0	0		100044	100603	2	0	3	0	0	ACE touchscreen question "Has a doctor ever told you that you have had cancer?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure if you have been told you had cancer, select<br>Do not know and you will be asked about this by an interviewer<br>later during this visit.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501460	592056	17	1	1	1
2463	Fractured/broken bones in last 5 years	0	0	0	21	11	0	0	1	0	0		100044	100349	2	0	3	0	0	ACE touchscreen question "Have you fractured/broken any bones in the last 5 years?"	2012-01-05T00:00:00	2023-03-08T00:00:00	501460	592056	18	1	1	1
2473	Other serious medical condition/disability diagnosed by doctor	0	0	0	21	11	0	0	1	0	0		100044	100603	2	0	3	0	0	ACE touchscreen question "Has a doctor ever told you that you have had any other serious medical conditions or disabilities?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are not sure if you have a serious illness<br>or you are not sure that you have had one of the<br>conditions listed previously, enter Do not know<br>and you will be asked about this by an interviewer<br>later in this visit.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501460	592056	21	1	1	1
2492	Taking other prescription medications	0	0	0	21	11	0	0	1	0	0		100045	100603	2	0	3	0	0	ACE touchscreen question "Do you regularly take any other PRESCRIPTION medications? (Do not forget medications such as puffers or patches)"	2012-01-05T00:00:00	2023-03-08T00:00:00	501460	592056	3	1	1	1
2624	Frequency of heavy DIY in last 4 weeks	0	0	0	21	11	0	0	1	0	0		100054	100317	2	0	3	0	0	ACE touchscreen question "How many times in the last 4 weeks did you do heavy DIY?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2624~ was collected from all participants who indicated that they spent time doing heavy DIY (e.g. weeding, lawn mowing, carpentry, digging) in the previous 4 weeks, as defined by their answers to ~F6164~	2012-01-05T00:00:00	2023-03-08T00:00:00	218263	246312	0	1	1	1
2634	Duration of heavy DIY	0	0	0	21	11	0	0	1	0	0		100054	100318	2	0	3	0	0	ACE touchscreen question "Each time you did heavy DIY, about how long did you spend doing it?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2634~ was collected from all participants who indicated that they spent time doing heavy DIY (e.g. weeding, lawn mowing, carpentry, digging) in the previous 4 weeks, as defined by their answers to ~F6164~	2012-01-05T00:00:00	2023-03-08T00:00:00	218263	246312	0	1	1	1
2644	Light smokers, at least 100 smokes in lifetime	0	0	0	21	11	0	0	1	0	0		100058	100349	2	0	3	0	0	ACE touchscreen question "In your lifetime, have you smoked a total of at least 100 times?"<p>~F2644~ was collected from participants who indicated they smoked occasionally or Just tried once or twice, as defined by their answers to ~F1249~	2012-01-05T00:00:00	2023-03-08T00:00:00	142851	162934	2980	1	1	1
2654	Non-butter spread type details	0	0	0	21	11	0	0	1	0	0		100052	100389	2	0	3	0	0	ACE touchscreen question "What type of spread do you mainly use?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you use more than one type of spread, please select the one that<br>you use the most.<br>If you are unsure, select Do not know.<br></i></td></tr></table><p>~F2654~ was collected from participants who indicated they mainly use another type of spread/margarine rather than butter/spreadable butter or do not know what they use, as defined by their answers to ~F1428~	2012-01-05T00:00:00	2023-03-08T00:00:00	265451	292824	18	1	1	1
2664	Reason for reducing amount of alcohol drunk	0	0	0	21	11	0	0	1	0	0		100051	100418	2	0	3	0	0	ACE touchscreen question "Why did you reduce the amount you drank?"<p>~F2664~ was collected from participants who indicated they drink alcohol, as defined by their answers to ~F1558~ and they drink less nowadays than 10 years ago, as defined by their answers to ~F1558~	2012-01-05T00:00:00	2023-03-08T00:00:00	222873	248706	17	1	1	1
2674	Ever had breast cancer screening / mammogram	0	0	0	21	11	0	0	1	0	2		100069	100349	2	0	3	0	0	ACE touchscreen question "Have you ever been for breast cancer screening (a mammogram)?"	2012-01-05T00:00:00	2023-03-08T00:00:00	272840	319524	1	1	1	1
2684	Years since last breast cancer screening / mammogram	0	0	0	11	0	0	0	1	0	2	years	100069	100567	2	0	3	0	0	ACE touchscreen question "How many years ago was your last screen?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age - 15 years then rejected</li><li>If answer > 15 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2684~ was collected from women who indicated that they had been for a mammogram, as defined by their answers to ~F2674~	2012-01-05T00:00:00	2023-03-08T00:00:00	225534	262339	2	1	1	1
2694	Ever had cervical smear test	0	0	0	21	11	0	0	1	0	2		100069	100349	2	0	3	0	0	ACE touchscreen question "Have you ever had a cervical smear test?"	2012-01-05T00:00:00	2023-03-08T00:00:00	272840	319524	3	1	1	1
2704	Years since last cervical smear test	0	0	0	11	0	0	0	1	0	2	years	100069	100569	2	0	3	0	0	ACE touchscreen question "How many years ago was your last cervical smear test?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age - 10 years then rejected</li><li>If answer > 15 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2704~ was collected from women who indicated that they had had a cervical smear test, as defined by their answers to ~F2694~	2012-01-05T00:00:00	2023-03-08T00:00:00	265888	311284	4	1	1	1
2714	Age when periods started (menarche)	0	0	0	11	0	0	0	1	0	2	years	100069	100291	2	0	3	0	0	ACE touchscreen question "How old were you when your periods started?"<p>The following checks were performed:<ul><li>If answer < 5 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer > 25 then rejected</li><li>If answer < 6 then participant asked to confirm</li><li>If answer > 20 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	272840	319524	5	1	1	1
2724	Had menopause	0	0	0	21	11	0	0	1	0	2		100069	100579	2	0	3	0	0	ACE touchscreen question "Have you had your menopause (periods stopped)?"	2012-01-05T00:00:00	2023-03-08T00:00:00	272840	319524	6	1	1	1
2734	Number of live births	0	0	0	11	0	0	0	1	0	2	children	100069	100584	2	0	3	0	0	ACE touchscreen question "How many children have you given birth to? (Please include live births only)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 25 then rejected</li><li>If answer > 12 then participant asked to confirm</li></ul>	2012-01-05T00:00:00	2023-03-08T00:00:00	272838	319522	11	1	1	1
2744	Birth weight of first child	0	0	0	11	0	0	0	1	0	2	pounds	100069	100585	2	0	3	0	0	ACE touchscreen question "What was the birth weight of your first child in pounds? (do not include twins)"<p>The following checks were performed:<ul><li>If answer < 2 then rejected</li><li>If answer > 16 then rejected</li><li>If answer > 12 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure of the weight in pounds, here is a conversion table for pounds, grams and kilograms.<br><br>Pounds  Grams  Kilograms<br>2  907  0.91<br>3  1361  1.36<br>4  1814  1.81<br>5  2268  2.27<br>6  2721  2.72<br>7  3175  3.18<br>8  3629  3.63<br>9  4082  4.08<br>10  4536  4.54<br>11  4990  4.99<br>12  5443  5.44<br>13  5897  5.90<br>14  6350  6.35<br>15  6804  6.80<br><br>An exact answer is not necessary. Please enter the birthweight to the closest pound.<br>If your first birth was twins or other multiple birth, enter the birthweight of the first singleton birth.<br>If you have only had twins or other multiple births then select Only twins.<br></i></td></tr></table><p>~F2744~ was collected from women who indicated they had given birth to at least one child, as defined by their answers to ~F2734~	2012-01-05T00:00:00	2023-03-08T00:00:00	221455	258206	12	1	1	1
2754	Age at first live birth	0	0	0	11	0	0	0	1	0	2	years	100069	100586	2	0	3	0	0	ACE touchscreen question "How old were you when you had your FIRST child?"<p>The following checks were performed:<ul><li>If answer < 8 then rejected</li><li>If answer > 65 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < Age at first period then rejected</li><li>If answer < 12 then participant asked to confirm</li><li>If answer > 48 then participant asked to confirm</li><li>If answer > Age when periods stopped then participant asked to confirm</li></ul><p>~F2754~ was collected from women who indicated they had given birth to more than one child, as defined by their answers to ~F2734~	2012-01-05T00:00:00	2023-03-08T00:00:00	184996	215744	14	1	1	1
2764	Age at last live birth	0	0	0	11	0	0	0	1	0	2	years	100069	100586	2	0	3	0	0	ACE touchscreen question "How old were you when you had your LAST child?"<p>The following checks were performed:<ul><li>If answer < 8 then rejected</li><li>If answer > 65 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < Age at first period then rejected</li><li>If answer < 12 then participant asked to confirm</li><li>If answer > 48 then participant asked to confirm</li><li>If answer > Age when periods stopped then participant asked to confirm</li></ul><p>~F2764~ was collected from women who indicated they had given birth to more than one child, as defined by their answers to ~F2734~	2012-01-05T00:00:00	2023-03-08T00:00:00	184996	215744	15	1	1	1
2774	Ever had stillbirth, spontaneous miscarriage or termination	0	0	0	21	11	0	0	1	0	2		100069	100349	2	0	3	0	0	ACE touchscreen question "Have you ever had any stillbirths, spontaneous miscarriages or terminations?"	2012-01-05T00:00:00	2023-03-08T00:00:00	272837	319521	16	1	1	1
2784	Ever taken oral contraceptive pill	0	0	0	21	11	0	0	1	0	2		100069	100349	2	0	3	0	0	ACE touchscreen question "Have you ever taken the contraceptive pill? (include the 'mini-pill')"	2012-01-05T00:00:00	2023-03-08T00:00:00	272837	319521	20	1	1	1
2794	Age started oral contraceptive pill	0	0	0	11	0	0	0	1	0	2	years	100069	100291	2	0	3	0	0	ACE touchscreen question "About how old were you when you first went on the contraceptive pill?"<p>The following checks were performed:<ul><li>If answer < 5 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 10 then participant asked to confirm</li><li>If answer > 50 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2794~ was collected from women who indicated that they had taken the contraceptive pill, as defined by their answers to ~F2784~	2012-01-05T00:00:00	2023-03-08T00:00:00	220800	259843	22	1	1	1
2804	Age when last used oral contraceptive pill	0	0	0	11	0	0	0	1	0	2	years	100069	100595	2	0	3	0	0	ACE touchscreen question "How old were you when you last used the contraceptive pill?"<p>The following checks were performed:<ul><li>If answer < 5 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 10 then participant asked to confirm</li><li>If answer > 60 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are currently taking the pill select Still taking the pill.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2804~ was collected from women who indicated that they had taken the contraceptive pill, as defined by their answers to ~F2784~	2012-01-05T00:00:00	2023-03-08T00:00:00	220489	259355	23	1	1	1
2814	Ever used hormone-replacement therapy (HRT)	0	0	0	21	11	0	0	1	0	2		100069	100349	2	0	3	0	0	ACE touchscreen question "Have you ever used hormone replacement therapy (HRT)?"	2012-01-05T00:00:00	2023-03-08T00:00:00	272837	319521	24	1	1	1
2824	Age at hysterectomy	0	0	0	11	0	0	0	1	0	2	years	100069	100291	2	0	3	0	0	ACE touchscreen question "How old were you when you had your hysterectomy?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 35 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li><li>If answer < Age when had the only child or < Age when had the last child then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2824~ was collected from women who indicated they have had a hysterectomy (womb removed), as defined by their answers to ~F2724~ and ~F2724~	2012-01-05T00:00:00	2023-03-07T00:00:00	52207	59384	28	1	1	1
2834	Bilateral oophorectomy (both ovaries removed)	0	0	0	21	11	0	0	1	0	2		100069	100599	2	0	3	0	0	ACE touchscreen question "Have you had BOTH ovaries removed?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Only enter Yes if you have had both ovaries removed.<br>If you have only had one ovary removed you will be able<br>to let the interviewer know later in the visit.<br>If you are unsure of whether both ovaries have been<br>removed, select Do not know.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	272837	319521	29	1	1	1
2844	Had other major operations	0	0	0	21	11	0	0	1	0	2		100047	100603	2	0	3	0	0	ACE touchscreen question "Have you had any other major operations? (for example, operations that required an overnight stay in hospital)"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure if you have had a 'major' operation<br>select Do not know and you will be asked about this by<br>an interviewer later during this visit.<br></i></td></tr></table> <br> The <i>other</i> refers to operations other than hysterectomy and bilateral oophorectomy.	2012-01-05T00:00:00	2023-03-08T00:00:00	272837	319521	2	1	1	1
2867	Age started smoking in former smokers	0	0	0	11	0	0	0	1	0	0	years	100058	100291	2	0	3	0	0	ACE touchscreen question "How old were you when you first started smoking on most days?"<p>The following checks were performed:<ul><li>If answer < 5 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 12 then participant asked to confirm</li></ul><p>~F2867~ was collected from participants who indicated that in the past they smoked on most or all days, as defined by their answers to ~F1249~	2012-01-05T00:00:00	2023-03-08T00:00:00	124134	142105	3110	1	1	1
2877	Type of tobacco previously smoked	0	0	0	21	11	0	0	1	0	0		100058	100351	2	0	3	0	0	ACE touchscreen question "What type of tobacco did you usually smoke?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you smoked both hand-rolled and manufactured cigarettes select the<br>one that you smoked more of.<br></i></td></tr></table><p>~F2877~ was collected from participants who indicated that in the past they smoked on most or all days, as defined by their answers to ~F1249~	2012-01-05T00:00:00	2023-03-08T00:00:00	124134	142105	3120	1	1	1
2887	Number of cigarettes previously smoked daily	0	0	0	11	0	0	0	1	0	0	cigarettes/day	100058	100353	2	0	3	0	0	ACE touchscreen question "About how many cigarettes did you smoke on average each day? "<p>The following checks were performed:<ul><li>If answer < 1 then rejected</li><li>If answer > 150 then rejected</li><li>If answer > 100 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Count the total number of cigarettes (including both hand-rolled and<br>manufactured cigarettes if both were smoked)<br>For hand-rolled cigarettes:<br>  - One ounce of tobacco makes about 30 cigarettes<br>  - One gram of tobacco makes about 1 cigarette<br></i></td></tr></table><p>~F2887~ was collected from participants who indicated that in the past they smoked on most or all days, as defined by their answers to ~F1249~ and they smoked manufactured or hand-rolled cigarettes in the past, as defined by their answers to ~F1249~	2012-01-05T00:00:00	2023-03-08T00:00:00	118658	135618	3130	1	1	1
2897	Age stopped smoking	0	0	0	11	0	0	0	1	0	0	years	100058	100291	2	0	3	0	0	ACE touchscreen question "How old were you when you last smoked on most days?"<p>The following checks were performed:<ul><li>If answer < 5 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 12 then participant asked to confirm</li></ul><p>~F2897~ was collected from participants who indicated that in the past they smoked tobacco on most or all days, as defined by their answers to ~F1249~	2012-01-05T00:00:00	2023-03-08T00:00:00	124134	142105	3140	1	1	1
2907	Ever stopped smoking for 6+ months	0	0	0	21	11	0	0	1	0	0		100058	100349	2	0	3	0	0	ACE touchscreen question "In the time that you smoked, did you ever stop for more than 6 months?"<p>~F2907~ was collected from participants who indicated that in the past they smoked tobacco on most or all days, as defined by their answers to ~F1249~	2012-01-05T00:00:00	2023-03-08T00:00:00	123404	141175	3150	1	1	1
2926	Number of unsuccessful stop-smoking attempts	0	0	0	11	0	0	0	1	0	0		100058	100291	2	0	3	0	0	ACE touchscreen question "How many times did you try to give up smoking before you were successful?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 200 then rejected</li><li>If answer > 20 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2926~ was collected from participants who indicated that in the past they smoked tobacco on most or all days, as defined by their answers to ~F1249~ and that during the time they smoked they stopped for more than 6 months, as defined by their answers to ~F1249~	2012-01-05T00:00:00	2023-03-08T00:00:00	123404	141175	3190	1	1	1
2936	Likelihood of resuming smoking	0	0	0	21	11	0	0	1	0	0		100058	100369	2	0	3	0	0	ACE touchscreen question "Do you think you may start smoking again?"<p>~F2936~ was collected from participants who indicated that in the past they smoked tobacco on most or all days, as defined by their answers to ~F1249~ and that during the time they smoked they stopped for more than 6 months, as defined by their answers to ~F1249~	2012-01-05T00:00:00	2023-03-08T00:00:00	123404	141175	3200	1	1	1
2946	Father's age	0	0	0	11	0	0	0	1	0	0	years	100034	100291	2	0	3	0	0	ACE touchscreen question "What is his age now?"<p>The following checks were performed:<ul><li>If answer < Participants age + 10 years then rejected</li><li>If answer > 122 then rejected</li><li>If answer < Participants age + 14 years then participant asked to confirm</li><li>If answer > 105 then participant asked to confirm</li></ul><p>~F2946~ was collected from participants who indicated their father is still alive, as defined by their answers to ~F1797~ or, if they are adopted, their adopted father is still alive, as defined by their answers to ~F1797~	2012-01-05T00:00:00	2023-03-08T00:00:00	114691	126310	3	1	1	1
2956	General pain for 3+ months	0	0	0	21	11	0	0	1	0	0		100048	100349	2	0	3	0	0	ACE touchscreen question "Have you had pains all over the body for more than 3 months?"<p>~F2956~ was collected from participants who indicated that in the last month they experienced pain all over the body that interfered with their usual activities, as defined by their answers to ~F6159~	2012-01-05T00:00:00	2023-03-07T00:00:00	9514	9750	9	1	1	1
2966	Age high blood pressure diagnosed	0	0	0	11	0	0	0	1	0	0	years	100044	100291	2	0	3	0	0	ACE touchscreen question "What was your age when the high blood pressure was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2966~ was collected from participants who indicated they were told by a doctor that they have had high blood pressure, as defined by their answers to ~F6150~	2012-01-05T00:00:00	2023-03-08T00:00:00	142952	159341	5	1	1	1
2976	Age diabetes diagnosed	0	0	0	11	0	0	0	1	0	0	years	100044	100291	2	0	3	0	0	ACE touchscreen question "What was your age when the diabetes was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 10 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F2976~ was collected from men who indicated that a doctor had told them they have diabetes, as defined by their answers to ~F2443~ and all women except those who indicated they had diabetes only during pregnancy, as defined by their answers to ~F2443~	2012-01-05T00:00:00	2023-03-07T00:00:00	27670	30333	15	1	1	1
2986	Started insulin within one year diagnosis of diabetes	0	0	0	21	11	0	0	1	0	0		100044	100349	2	0	3	0	0	ACE touchscreen question "Did you start insulin within one year of your diagnosis of diabetes?"<p>~F2986~ was collected from men who indicated that a doctor had told them they have diabetes, as defined by their answers to ~F2443~ and all women except those who indicated they had diabetes only during pregnancy, as defined by their answers to ~F2443~	2012-01-05T00:00:00	2023-03-07T00:00:00	27696	30360	16	1	1	1
3005	Fracture resulting from simple fall	0	0	0	21	11	0	0	1	0	0		100044	100349	2	0	3	0	0	ACE touchscreen question "Did the fracture result from a simple fall (i.e. from standing height)?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>A simple fall is any fall from standing height or lower.<br>For example if you trip and fall over, this is a simple<br>fall.  Falls from a stool or chair that you are sitting<br>on are also counted as simple.  Falls from anything<br>higher ie: down a flight of stairs, from a ladder,<br>from standing on a stool or chair are NOT simple falls.<br>If you have had more than one fracture in the last 5 years,<br>select YES if any one of the fractures resulted from a simple<br>fall.<br></i></td></tr></table><p>~F3005~ was collected from participants who indicated they have had fractured/broken bones in the last 5 years, as defined by their answers to ~F2463~	2012-01-05T00:00:00	2023-03-08T00:00:00	53572	55836	20	1	1	1
3059	Result ranking	0	0	0	21	11	0	0	1	1	0		100020	22	2	0	3	0	2	How good was each blow; 1=best; 3=worst	2012-01-05T00:00:00	2020-03-19T00:00:00	457400	1415898	230	1	1	1
3060	Time of blow measurement	0	0	0	61	0	0	2	1	1	0		100020	0	2	0	3	0	2	When result was measured	2012-01-05T00:00:00	2022-01-01T00:00:00	457401	1415901	430	1	1	1
3061	Acceptability of each blow result	0	0	0	11	0	0	2	1	1	0		100020	0	2	0	3	0	2	Acceptability of spirometry result (bit field)<p>START_OF_TEST Set if the extrapolated volume at start of test is excessive = 0x01<br>TIME_TO_PEF Set if time to peak flow is excessive = 0x02<br>END_OF_TEST Set if an adequate plateau at the end of the test does not exist = 0x04<br>COUGHING Set if a cough was detected during the manovoure = 0x08<br>TEST_DURATION Set if the test is less than 6 seconds = 0x10<br>USER_ACCEPTED Specifies whether or not the test was explicitly acceped by the investigator = 0x20<br>USER_REJECTED Specifies whether or not the test was explicitly rejected by the investigator = 0x40<p>Hence a decimal value of 24 (0x08+0x10) indicates a test of less than 6 seconds during which a cough was detected.	2012-01-05T00:00:00	2020-03-19T00:00:00	457400	1415898	280	1	1	1
3062	Forced vital capacity (FVC)	0	0	0	31	0	0	0	1	1	0	litres	100020	0	2	0	3	0	2	FVC value calculated from blow	2012-01-05T00:00:00	2022-01-01T00:00:00	457401	1415901	300	1	1	1
3063	Forced expiratory volume in 1-second (FEV1)	0	0	0	31	0	0	0	1	1	0	litres	100020	0	2	0	3	0	2	FEV1 value calculated from blow	2012-01-05T00:00:00	2022-01-01T00:00:00	457401	1415901	340	1	1	1
3064	Peak expiratory flow (PEF)	0	0	0	11	0	0	0	1	1	0	litres/min	100020	0	2	0	3	0	2	Peak expiratory flow during blow	2012-01-05T00:00:00	2020-03-19T00:00:00	457400	1415898	410	1	1	1
3065	Ordering of blows	0	0	0	21	11	0	0	1	1	0		100020	23	2	0	3	0	2	Ordering of blows in dataset array; 1=earliest; 3=latest	2012-01-05T00:00:00	2020-03-19T00:00:00	457400	1415898	220	1	1	1
3066	Data points for blow	0	0	0	101	0	0	0	1	1	0		100020	0	2	0	3	0	2	This field contains a comma-separated series of values that can be used to draw the curve. <ul><li>The first field is the blow-number (i.e. the order of the blow in a set of blows done by the participant);</li> <li>The second field is the number of points in the dataset following;</li> <li>The third and subsequent points give the volume in mililitres of the exhalation at 10 milisecond intervals.</li> </ul>	2012-01-05T00:00:00	2022-01-21T00:00:00	457401	1415901	250	1	1	1
3077	Seating box height	0	0	0	21	11	0	0	1	0	0		100010	100262	2	0	3	0	0	The height of the box that participant sat on for sitting-height measurement ~F51~	2012-01-05T00:00:00	2023-03-08T00:00:00	497226	585288	8	1	1	1
3079	Pace-maker	0	0	0	21	11	0	0	1	0	0		100076	7	2	0	3	0	0	Participants asked by interviewer if they have a pace-maker before the body impedance measures. Impedance measurement was not performed if they had a pace-maker.	2012-01-05T00:00:00	2023-03-08T00:00:00	500719	590084	0	1	1	1
3081	Foot measured for bone density	0	0	0	21	11	0	0	1	0	0		100018	24	2	0	0	0	0	In the early UK Biobank Assessment Centres only one heel was used to measure bone density, and this field indicates which side it was. In the later assessments, the measurement was conducted on both heels.	2012-01-05T00:00:00	2012-01-06T00:00:00	321756	321756	2	1	1	1
3082	Fractured heel	0	0	0	21	11	0	0	1	0	0		100018	100267	2	0	0	0	0	This field indicates whether the heel used to measure bone density had ever been fractured.	2012-01-05T00:00:00	2012-01-06T00:00:00	321756	321756	1	1	1	1
3083	Heel quantitative ultrasound index (QUI), manual entry	0	0	0	31	0	0	0	1	0	0		100018	0	2	0	0	0	0	The quantitative ultrasound index or 'stiffness' is based on measure of the speed of sound and broadband ultrasound attenuation, entered manually	2012-01-05T00:00:00	2012-01-06T00:00:00	42721	42721	12	1	1	1
3084	Heel bone mineral density (BMD), manual entry	0	0	0	31	0	0	0	1	0	0	g/cm2	100018	0	2	0	0	0	0	Estimation of bone mineral density based on the Quantitative Ultrasound Index through the calcaneus. Manual entry.	2012-01-05T00:00:00	2012-01-06T00:00:00	42721	42721	13	1	1	1
3085	Heel Broadband ultrasound attenuation (BUA), manual entry	0	0	0	31	0	0	0	1	0	0		100018	0	2	0	0	0	0	Heel BUA (manual entry) dB/MHz	2012-01-05T00:00:00	2012-01-06T00:00:00	42721	42721	11	1	1	1
3086	Speed of sound through heel, manual entry	0	0	0	31	0	0	2	1	0	0	m/s	100018	0	2	0	0	0	0	Speed of sound through the heel. Manual entry.	2012-01-05T00:00:00	2012-01-06T00:00:00	42721	42721	10	1	1	1
3088	Contra-indications for spirometry	0	0	0	21	11	0	0	1	0	0		100020	100267	2	0	3	0	0	Contra-indications for spirometry are defined as any of the following: chest infection in the last month (ie, influenza, bronchitis, severe cold, pneumonia); history of detached retina; heart attack or surgery to eyes, chest or abdomen in last 3 months; history of a collapsed lung; Pregnancy (1st or 3rd trimester); currently on medication for tuberculosis.	2012-01-05T00:00:00	2023-03-08T00:00:00	500713	590074	140	1	1	1
3089	Caffeine drink within last hour	0	0	0	21	11	0	0	1	0	0		100020	7	2	0	3	0	0	Participants were asked whether they had drank caffeine within the hour prior to doing the spirometry test	2012-01-05T00:00:00	2023-03-07T00:00:00	462820	526612	150	1	1	1
3090	Used an inhaler for chest within last hour	0	0	0	21	11	0	0	1	0	0		100020	7	2	0	3	0	0	Participants were asked whether they had used a chest inhaler within the hour prior to doing the spirometry test	2012-01-05T00:00:00	2023-03-07T00:00:00	462820	526612	160	1	1	1
3132	Spirometry device serial number	0	0	0	41	0	0	2	1	0	0		100020	0	2	0	3	0	0	The serial number of device, reported by the spirometry software	2012-01-05T00:00:00	2020-03-19T00:00:00	457400	517717	450	1	1	1
3137	Number of measurements made	0	0	0	11	0	0	0	1	0	0		100020	0	2	0	3	0	0	Number of sets of spirometry results collected from the device	2012-01-05T00:00:00	2020-03-19T00:00:00	457400	517717	190	1	1	1
3140	Pregnant	0	0	0	21	11	0	0	1	0	2		100074	100267	2	0	3	0	0	Participants asked by interviewer if they might be pregnant before the body impedance measures. Impedance measurement was not performed if they answered Yes or Possibly.	2012-01-05T00:00:00	2023-03-08T00:00:00	272490	318499	0	1	1	1
3143	Ankle spacing width	0	0	0	31	0	0	0	1	0	0	mm	100018	0	2	0	0	0	0	Ankle width as indicated by the spacing between measurement transducer pads on heel	2012-01-05T00:00:00	2012-01-06T00:00:00	279022	279022	5	1	1	1
3144	Heel Broadband ultrasound attenuation, direct entry	0	0	0	31	0	0	0	1	0	0	dB/MHz	100018	0	2	0	0	0	0	Broadband ultrasound attenuation through heel	2012-01-05T00:00:00	2012-01-06T00:00:00	279005	279005	6	1	1	1
3146	Speed of sound through heel	0	0	0	31	0	0	2	1	0	0	m/s	100018	0	2	0	0	0	0	Speed of sound through ankle<p>Typically 1450-1700 m/s	2012-01-05T00:00:00	2012-01-06T00:00:00	279022	279022	4	1	1	1
3147	Heel quantitative ultrasound index (QUI), direct entry	0	0	0	31	0	0	0	1	0	0		100018	0	2	0	0	0	0	The QUI or 'stiffness' is based on measure of the speed of sound and broadband ultrasound attenuation. Direct entry.	2012-01-05T00:00:00	2012-01-06T00:00:00	279022	279022	7	1	1	1
3148	Heel bone mineral density (BMD)	0	0	0	31	0	0	0	1	0	0	g/cm2	100018	0	2	0	0	0	0	Estimation of bone mineral density (BMD) in the heel is based on the Quantitative Ultrasound Index through the calcaneus. Direct entry.	2012-01-05T00:00:00	2012-01-06T00:00:00	278882	278882	8	1	1	1
3159	Smoked cigarette or pipe within last hour	0	0	0	21	11	0	0	1	0	0		100020	7	2	0	3	0	0	Participants were asked whether they had smoked a cigarette or pipe within the hour prior to doing the spirometry test	2012-01-05T00:00:00	2023-03-07T00:00:00	78840	83305	170	1	1	1
3160	Weight, manual entry	0	0	0	31	0	0	0	1	0	0	Kg	100010	0	2	0	3	0	0	Weight (manual entry)	2012-01-05T00:00:00	2023-03-07T00:00:00	9595	9719	10	1	1	1
3166	Time blood sample collected	0	0	0	61	0	0	2	1	1	0		100002	439	2	0	3	0	6	This is the time when each blood sample was recorded on the computerised system by swiping the unique barcode on the collection tube. Generally it is a few seconds after the sample is actually extracted. <p> In about 36,000 cases a clock error on the collection system resulted in incorrect extraction times being saved. These values have been removed from the database.	2012-01-05T00:00:00	2023-03-08T00:00:00	499777	3572200	3	1	1	1
3393	Hearing aid user	0	0	0	21	11	0	0	1	0	0		100043	100352	2	0	3	0	0	ACE touchscreen question "Do you use a hearing aid most of the time?"<p> Initially this information was collected from all participants answering Yes to either ~F2247~ (~F10793~ in the pilot) or ~F2257~. When the speech-in-noise hearing test was introduced (2009), program logic was altered so that the information was collected from all participants except those who indicated they were completely deaf, as defined by their answers to ~F2247~.	2012-01-05T00:00:00	2023-03-08T00:00:00	338556	398148	4	1	1	1
3404	Neck/shoulder pain for 3+ months	0	0	0	21	11	0	0	1	0	0		100048	100349	2	0	3	0	0	ACE touchscreen question "Have you had neck or shoulder pains for more than 3 months?"<p>~F3404~ was collected from participants who indicated that in the last month they experienced neck or shoulder pain that interfered with their usual activities, as defined by their answers to ~F6159~	2012-01-05T00:00:00	2023-03-08T00:00:00	125458	132346	4	1	1	1
3414	Hip pain for 3+ months	0	0	0	21	11	0	0	1	0	0		100048	100349	2	0	3	0	0	ACE touchscreen question "Have you had hip pains for more than 3 months?"<p>~F3414~ was collected from participants who indicated that in the last month they experienced hip pain that interfered with their usual activities, as defined by their answers to ~F6159~	2012-01-05T00:00:00	2023-03-07T00:00:00	63200	66127	7	1	1	1
3426	Job involves night shift work	0	0	0	21	11	0	0	1	0	0		100064	100301	2	0	3	0	0	ACE touchscreen question "Does your work involve night shifts?" <p>If the participant activated the Help button they were shown the message: <br> <table> <tr><td><i>If you have more than one 'current job' then answer this question <br>for your MAIN job only. <br>Night shifts are a work schedule that involves working through the <br>normal sleeping hours, for instance working through the hours from <br>12am to 6am. <br></i></td></tr> </table> <p>~F3426~ was collected from participants who indicated they were in paid employment or self-employed, as defined by their answers to ~F6142~ and excepting those who indicated their work never or rarely involved a shift pattern, as defined by their answers to ~F6142~	2012-01-05T00:00:00	2023-03-07T00:00:00	52022	55254	10	1	1	1
3436	Age started smoking in current smokers	0	0	0	11	0	0	0	1	0	0	years	100058	100291	2	0	3	0	0	ACE touchscreen question "How old were you when you first started smoking on most days?" <p>The following checks were performed: <ul> <li>If answer < 5 then rejected</li> <li>If answer > Participants age then rejected</li> <li>If answer < 12 then participant asked to confirm</li> </ul> <p>~F3436~ was collected from participants who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~	2012-01-05T00:00:00	2023-03-07T00:00:00	39580	41263	2990	1	1	1
3446	Type of tobacco currently smoked	0	0	0	21	11	0	0	1	0	0		100058	100351	2	0	3	0	0	ACE touchscreen question "What type of tobacco do you mainly smoke?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you smoke cigarettes and cigars and pipes, please select the<br>type of cigarette you smoke.<br>If you smoke both hand-rolled and manufactured cigarettes select<br>the one that you smoke more of.<br></i></td></tr></table><p>~F3446~ was collected from participants who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~	2012-01-05T00:00:00	2023-03-07T00:00:00	39580	41263	3000	1	1	1
3456	Number of cigarettes currently smoked daily (current cigarette smokers)	0	0	0	11	0	0	0	1	0	0	cigarettes/day	100058	100355	2	0	3	0	0	ACE touchscreen question "About how many cigarettes do you smoke on average each day? "<p>The following checks were performed:<ul><li>If answer < 1 then rejected</li><li>If answer > 150 then rejected</li><li>If answer > 100 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Count the total number of cigarettes (including both hand-rolled<br>and manufactured cigarettes if both are smoked)<br>For hand-rolled cigarettes:<br> - One ounce of tobacco makes about 30 cigarettes<br> - One gram of tobacco makes about 1 cigarette<br></i></td></tr></table><p>~F3456~ was collected from participants who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~ and currently smoke manufactured or hand-rolled cigarettes, as defined by their answers to ~F1239~	2012-01-05T00:00:00	2023-03-07T00:00:00	36784	38320	3020	1	1	1
3466	Time from waking to first cigarette	0	0	0	21	11	0	0	1	0	0		100058	100356	2	0	3	0	0	ACE touchscreen question "How soon after waking do you smoke your first cigarette of the day?" <p>~F3466~ was collected from participants who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~ and currently smoke manufactured or hand-rolled cigarettes, as defined by their answers to ~F1239~ <p> Please note that the categories do not include a response for 15-30 minutes. This occurred due to an oversight during the design of the initial data collection process. However we have kept the response options the same during subsequent data collection exercises to maintain consistency for analytical purposes.	2012-01-05T00:00:00	2023-03-07T00:00:00	36442	37954	3050	1	1	1
3476	Difficulty not smoking for 1 day	0	0	0	21	11	0	0	1	0	0		100058	100357	2	0	3	0	0	ACE touchscreen question "How easy or difficult would you find it to go without smoking for a whole day?"<p>~F3476~ was collected from participants who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~ and currently smoke manufactured or hand-rolled cigarettes, as defined by their answers to ~F1239~	2012-01-05T00:00:00	2023-03-07T00:00:00	36442	37954	3060	1	1	1
3486	Ever tried to stop smoking	0	0	0	21	11	0	0	1	0	0		100058	100358	2	0	3	0	0	ACE touchscreen question "Have you tried to give up smoking?"<p>~F3486~ was collected from participants who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~	2012-01-05T00:00:00	2023-03-07T00:00:00	39580	41263	3070	1	1	1
3496	Wants to stop smoking	0	0	0	21	11	0	0	1	0	0		100058	100359	2	0	3	0	0	ACE touchscreen question "Do you want to stop smoking?"<p>~F3496~ was collected from participants who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~	2012-01-05T00:00:00	2023-03-07T00:00:00	39205	40861	3080	1	1	1
3506	Smoking compared to 10 years previous	0	0	0	21	11	0	0	1	0	0		100058	100360	2	0	3	0	0	ACE touchscreen question "Compared to 10 years ago do you smoke..."<p>~F3506~ was collected from participants who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~	2012-01-05T00:00:00	2023-03-07T00:00:00	39580	41263	3090	1	1	1
3526	Mother's age at death	0	0	0	11	0	0	0	1	0	0	years	100034	100291	2	0	3	0	0	ACE touchscreen question "What was her age when she died?"<p>The following checks were performed:<ul><li>If answer < 10 then rejected</li><li>If answer > 122 then rejected</li><li>If answer < 15 then participant asked to confirm</li><li>If answer > 105 then participant asked to confirm</li></ul><p>~F3526~ was collected from participants who indicated their mother has died, as defined by their answers to ~F1835~ or, if they are adopted, their adopted mother has died, as defined by their answers to ~F1835~	2012-01-05T00:00:00	2023-03-08T00:00:00	315187	365805	15	1	1	1
3536	Age started hormone-replacement therapy (HRT)	0	0	0	11	0	0	0	1	0	2	years	100069	100291	2	0	3	0	0	ACE touchscreen question "How old were you when you first used HRT?"<p>The following checks were performed:<ul><li>If answer < 16 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 35 then participant asked to confirm</li><li>If answer > 65 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F3536~ was collected from women who indicated that they had used HRT, as defined by their answers to ~F2814~	2012-01-05T00:00:00	2023-03-08T00:00:00	106856	121609	25	1	1	1
3546	Age last used hormone-replacement therapy (HRT)	0	0	0	11	0	0	0	1	0	2	years	100069	100598	2	0	3	0	0	ACE touchscreen question "How old were you when you last used HRT?"<p>The following checks were performed:<ul><li>If answer < 20 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 35 then participant asked to confirm</li><li>If answer > 65 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are currently using HRT select Still taking HRT.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F3546~ was collected from women who indicated that they had used HRT, as defined by their answers to ~F2814~	2012-01-05T00:00:00	2023-03-08T00:00:00	106856	121609	26	1	1	1
3571	Back pain for 3+ months	0	0	0	21	11	0	0	1	0	0		100048	100349	2	0	3	0	0	ACE touchscreen question "Have you had back pains for more than 3 months?"<p>~F3571~ was collected from participants who indicated that in the last month they experienced back pain that interfered with their usual activities, as defined by their answers to ~F6159~	2012-01-05T00:00:00	2023-03-08T00:00:00	139492	148208	5	1	1	1
3581	Age at menopause (last menstrual period)	0	0	0	11	0	0	0	1	0	2	years	100069	100291	2	0	3	0	0	ACE touchscreen question "How old were you when your periods stopped?"<p>The following checks were performed:<ul><li>If answer < Age at first period then rejected</li><li>If answer > Participants age then rejected</li><li>If answer > 70 then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 60 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F3581~ was collected from women who indicated that their periods had stopped, as defined by their answers to ~F2724~	2012-01-05T00:00:00	2023-03-08T00:00:00	176881	203291	7	1	1	1
3591	Ever had hysterectomy (womb removed)	0	0	0	21	11	0	0	1	0	2		100069	100599	2	0	3	0	0	ACE touchscreen question "Have you had a hysterectomy (womb removed)?"<p>~F3591~ was collected from all women except those who indicated they have had a hysterectomy (womb removed), as defined by their answers to ~F2724~	2012-01-05T00:00:00	2023-03-08T00:00:00	242875	283709	27	1	1	1
3606	Chest pain or discomfort walking normally	0	0	0	21	11	0	0	1	0	0		100039	100563	2	0	3	0	0	ACE touchscreen question "Do you get this pain or discomfort when you walk at an ordinary pace on the level?"<p>~F3606~ was collected from participants who indicated that they get pain or discomfort in their chest, as defined by their answers to ~F2335~	2012-01-05T00:00:00	2023-03-08T00:00:00	86342	91030	2	1	1	1
3616	Chest pain due to walking ceases when standing still	0	0	0	21	11	0	0	1	0	0		100039	100349	2	0	3	0	0	ACE touchscreen question "Does this chest pain go away when you stand still?"<p>~F3616~ was collected from participants who indicated that they get pain or discomfort in their chest, as defined by their answers to ~F2335~ and either get this pain when they walk at an ordinary pace on the level, as defined by their answers to ~F3606~ or when they walk uphill or in a hurry, as defined by their answers to ~F3751~	2012-01-05T00:00:00	2023-03-08T00:00:00	34268	35450	3	1	1	1
3627	Age angina diagnosed	0	0	0	11	0	0	0	1	0	0	years	100044	100291	2	0	3	0	0	ACE touchscreen question "What was your age when the angina was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F3627~ was collected from participants who indicated they were told by a doctor that they have had an angina, as defined by their answers to ~F6150~	2012-01-05T00:00:00	2023-03-07T00:00:00	17054	18367	3	1	1	1
3637	Frequency of other exercises in last 4 weeks	0	0	0	21	11	0	0	1	0	0		100054	100317	2	0	3	0	0	ACE touchscreen question "How many times in the last 4 weeks did you do other exercises such as swimming, cycling, keep fit?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F3637~ was collected from all participants who indicated that they spent time doing other exercises (e.g. swimming, cycling, keep fit, bowling) in the previous 4 weeks, as defined by their answers to ~F6164~	2012-01-05T00:00:00	2023-03-08T00:00:00	248016	284430	0	1	1	1
3647	Duration of other exercises	0	0	0	21	11	0	0	1	0	0		100054	100318	2	0	3	0	0	ACE touchscreen question "Each time you did other exercises such as swimming, cycling, keep fit, about how long did you spend doing them?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F3647~ was collected from all participants who indicated that they spent time doing other exercises (e.g. swimming, cycling, keep fit, bowling) in the previous 4 weeks, as defined by their answers to ~F6164~	2012-01-05T00:00:00	2023-03-08T00:00:00	248016	284430	0	1	1	1
3659	Year immigrated to UK (United Kingdom)	0	0	0	11	0	0	0	1	0	0		100065	100291	2	0	2	0	0	ACE touchscreen question "What year did you first come to live in the United Kingdom?" <p>If the participant activated the Help button they were shown the message: <br> <table> <tr><td><i>Please give the year that you FIRST came to live in the United Kingdom. <br>Do not count years if you came to holiday or visit friends or family. <br></i></td></tr> </table> <p>~F3659~ was collected from participants who indicated they were born outside the United Kingdom, as defined by their answers to ~F1647~ <br> <br> This question was dropped from the touchscreen protocol on 23/10/2016.	2012-01-05T00:00:00	2016-11-03T00:00:00	44541	46064	1	1	1	1
3669	Lifetime number of same-sex sexual partners	0	0	0	11	0	0	0	1	0	0		100056	100291	2	0	3	0	0	ACE touchscreen question "How many sexual partners of the same sex have you had in your lifetime?"<p>The following checks were performed:<ul><li>If answer < 1 then rejected</li><li>If answer > 99997 then rejected</li><li>If answer > 99 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Sexual intercourse includes vaginal, oral or anal intercourse.<br>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F3669~ was collected from participants those who indicated they had had sexual intercourse with someone of the same sex, as indicated by their answers to ~F2159~	2012-01-05T00:00:00	2023-03-08T00:00:00	16461	19285	5	1	1	1
3680	Age when last ate meat	0	0	0	11	0	0	0	1	0	0	years	100052	100291	2	0	3	0	0	ACE touchscreen question "How old were you when you last ate any kind of meat? (Enter "0" if you have never eaten meat in your lifetime)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li></ul>	2012-01-05T00:00:00	2023-03-08T00:00:00	21474	25789	12	1	1	1
3700	Time since last menstrual period	0	0	0	11	0	0	0	1	0	2	days	100069	100291	2	0	3	0	0	ACE touchscreen question "How many days since your last menstrual period?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 365 then rejected</li><li>If answer > 60 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please count from the first day of your last menstrual period<br></i></td></tr></table><p>~F3700~ was collected from women who indicated that their periods had not stopped (menopause), as defined by their answers to ~F2724~	2012-01-05T00:00:00	2023-03-07T00:00:00	64155	66526	8	1	1	1
3710	Length of menstrual cycle	0	0	0	11	0	0	0	1	0	2	days	100069	100582	2	0	3	0	0	ACE touchscreen question "How many days is your usual menstrual cycle? (The number of days between each menstrual period)"<p>The following checks were performed:<ul><li>If answer < 7 then rejected</li><li>If answer > 365 then rejected</li><li>If answer < 12 then participant asked to confirm</li><li>If answer > 60 then participant asked to confirm</li></ul><p>~F3710~ was collected from women who indicated that their periods had not stopped (menopause), as defined by their answers to ~F2724~	2012-01-05T00:00:00	2023-03-07T00:00:00	64155	66526	9	1	1	1
3720	Menstruating today	0	0	0	21	11	0	0	1	0	2		100069	100349	2	0	3	0	0	ACE touchscreen question "Are you menstruating today? (We are asking this as it may affect the urine sample that you have been asked to provide)"<p>~F3720~ was collected from all women except those who indicated that their periods had stopped (menopause) or not sure (had a hysterectomy), as defined by their answers to ~F2724~	2012-01-05T00:00:00	2023-03-07T00:00:00	76489	80368	10	1	1	1
3731	Former alcohol drinker	0	0	0	21	11	0	0	1	0	0		100051	100352	2	0	3	0	0	ACE touchscreen question "Did you previously drink alcohol?"<p>~F3731~ was collected from participants who indicated they never drink alcohol, as defined by their answers to ~F1558~	2012-01-05T00:00:00	2023-03-08T00:00:00	42969	46869	2	1	1	1
3741	Stomach/abdominal pain for 3+ months	0	0	0	21	11	0	0	1	0	0		100048	100349	2	0	3	0	0	ACE touchscreen question "Have you had stomach or abdominal pains for more than 3 months?"<p>~F3741~ was collected from participants who indicated that in the last month they experienced stomach or abdominal pain that interfered with their usual activities, as defined by their answers to ~F6159~	2012-01-05T00:00:00	2023-03-07T00:00:00	47155	48709	6	1	1	1
3751	Chest pain or discomfort when walking uphill or hurrying	0	0	0	21	11	0	0	1	0	0		100039	100564	2	0	3	0	0	ACE touchscreen question "Do you get this pain or discomfort when you walk uphill or hurry?"<p>~F3751~ was collected from participants who indicated that they get pain or discomfort in their chest, as defined by their answers to ~F2335~ but they do not get this pain when they walk at an ordinary pace on the level, as defined by their answers to ~F2335~	2012-01-05T00:00:00	2023-03-07T00:00:00	70338	73950	4	1	1	1
3761	Age hay fever, rhinitis or eczema diagnosed	0	0	0	11	0	0	0	1	0	0	years	100044	100291	2	0	3	0	0	ACE touchscreen question "What was your age when the hayfever, rhinitis or eczema was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 10 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F3761~ was collected from participants who indicated they were told by a doctor that they have had hayfever, allergic rhinitis or eczema, as defined by their answers to ~F6152~	2012-01-05T00:00:00	2023-03-08T00:00:00	119249	136666	11	1	1	1
3773	Knee pain for 3+ months	0	0	0	21	11	0	0	1	0	0		100048	100349	2	0	3	0	0	ACE touchscreen question "Have you had knee pains for more than 3 months?"<p>~F3773~ was collected from participants who indicated that in the last month they experienced knee pain that interfered with their usual activities, as defined by their answers to ~F6159~	2012-01-05T00:00:00	2023-03-08T00:00:00	118476	125965	8	1	1	1
3786	Age asthma diagnosed	0	0	0	11	0	0	0	1	0	0	years	100044	100291	2	0	3	0	0	ACE touchscreen question "What was your age when the asthma was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 10 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F3786~ was collected from participants who indicated they were told by a doctor that they have had asthma, as defined by their answers to ~F6152~	2012-01-05T00:00:00	2023-03-07T00:00:00	59661	67954	10	1	1	1
3799	Headaches for 3+ months	0	0	0	21	11	0	0	1	0	0		100048	100349	2	0	3	0	0	ACE touchscreen question "Have you had headaches for more than 3 months?"<p>~F3799~ was collected from participants who indicated that in the last month they experienced headache that interfered with their usual activities, as defined by their answers to ~F6159~	2012-01-05T00:00:00	2023-03-07T00:00:00	107154	113554	2	1	1	1
3809	Time since last prostate specific antigen (PSA) test	0	0	0	11	0	0	0	1	0	1	years	100040	100569	2	0	3	0	0	ACE touchscreen question "How many years ago was your last test?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age - 15 years then rejected</li><li>If answer > 20 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F3809~ was collected from men who indicated that they have had a blood test for prostate cancer, as defined by their answers to ~F2365~	2012-01-05T00:00:00	2023-03-08T00:00:00	74577	86060	4	1	1	1
3829	Number of stillbirths	0	0	0	11	0	0	0	1	0	2		100069	100291	2	0	3	0	0	ACE touchscreen question "How many stillbirths? (enter 0 if none)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 15 then rejected</li><li>If answer > 5 then participant asked to confirm</li></ul><p>~F3829~ was collected from women who indicated that they had had a stillbirth, spontaneous miscarriage or termination, as defined by their answers to ~F2774~	2012-01-05T00:00:00	2023-03-08T00:00:00	87974	101558	17	1	1	1
3839	Number of spontaneous miscarriages	0	0	0	11	0	0	0	1	0	2		100069	100291	2	0	3	0	0	ACE touchscreen question "How many spontaneous miscarriages? (enter 0 if none)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 35 then rejected</li><li>If answer > 11 then participant asked to confirm</li></ul><p>~F3839~ was collected from women who indicated that they had had a stillbirth, spontaneous miscarriage or termination, as defined by their answers to ~F2774~	2012-01-05T00:00:00	2023-03-08T00:00:00	87974	101558	18	1	1	1
3849	Number of pregnancy terminations	0	0	0	11	0	0	0	1	0	2		100069	100291	2	0	3	0	0	ACE touchscreen question "How many terminations? (enter 0 if none)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 35 then rejected</li><li>If answer > 11 then participant asked to confirm</li></ul><p>~F3849~ was collected from women who indicated that they had had a stillbirth, spontaneous miscarriage or termination, as defined by their answers to ~F2774~	2012-01-05T00:00:00	2023-03-08T00:00:00	87974	101558	19	1	1	1
3859	Reason former drinker stopped drinking alcohol	0	0	0	21	11	0	0	1	0	0		100051	100418	2	0	3	0	0	ACE touchscreen question "Why did you stop drinking alcohol?"<p>~F3859~ was collected from participants who indicated that they currently never drink alcohol, as defined by their answers to ~F1558~ and they previously drank alcohol, as defined by their answers to ~F1558~	2012-01-05T00:00:00	2023-03-08T00:00:00	19704	21179	19	1	1	1
3872	Age of primiparous women at birth of child	0	0	0	11	0	0	0	1	0	2	years	100069	100586	2	0	3	0	0	ACE touchscreen question "How old were you when you had your child?"<p>The following checks were performed:<ul><li>If answer < 8 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer > 65 then rejected</li><li>If answer < Age at first period then rejected</li><li>If answer < 12 then participant asked to confirm</li><li>If answer > 48 then participant asked to confirm</li><li>If answer > Age when periods stopped then participant asked to confirm</li></ul><p>~F3872~ was collected from women who indicated they had given birth to only one child, as defined by their answers to ~F2734~	2012-01-05T00:00:00	2023-03-07T00:00:00	36528	42462	13	1	1	1
3882	Age at bilateral oophorectomy (both ovaries removed)	0	0	0	11	0	0	0	1	0	2	years	100069	100291	2	0	3	0	0	ACE touchscreen question "How old were you when you had BOTH ovaries removed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 35 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>~F3882~ was collected from women who indicated that they had had both ovaries removed, as defined by their answers to ~F2834~	2012-01-05T00:00:00	2023-03-07T00:00:00	22788	25884	30	1	1	1
3894	Age heart attack diagnosed	0	0	0	11	0	0	0	1	0	0	years	100044	100291	2	0	3	0	0	ACE touchscreen question "What was your age when the heart attack was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F3894~ was collected from participants who indicated they were told by a doctor that they have had a heart attack, as defined by their answers to ~F6150~	2012-01-05T00:00:00	2023-03-07T00:00:00	12493	13635	2	1	1	1
3912	Adopted father still alive	0	0	0	21	11	0	0	1	0	0		100034	100349	2	0	3	0	0	ACE touchscreen question "Is your ADOPTED father still alive?"<p>~F3912~ was collected from participants who indicated they were adopted as a child, as defined by their answers to ~F1767~	2012-01-05T00:00:00	2023-03-08T00:00:00	7435	8509	2	1	1	1
3942	Adopted mother still alive	0	0	0	21	11	0	0	1	0	0		100034	100349	2	0	3	0	0	ACE touchscreen question "Is your ADOPTED mother still alive?"<p>~F3942~ was collected from participants who indicated they were adopted as a child, as defined by their answers to ~F1767~	2012-01-05T00:00:00	2023-03-08T00:00:00	7435	8509	13	1	1	1
3972	Number of adopted brothers	0	0	0	11	0	0	0	1	0	0		100034	100291	2	0	3	0	0	ACE touchscreen question "How many ADOPTED brothers do you have? (Please include those who have died)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 25 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>~F3972~ was collected from participants who indicated they were adopted as a child, as defined by their answers to ~F1767~	2012-01-05T00:00:00	2023-03-08T00:00:00	7435	8509	24	1	1	1
3982	Number of adopted sisters	0	0	0	11	0	0	0	1	0	0		100034	100291	2	0	3	0	0	ACE touchscreen question "How many ADOPTED sisters do you have? (Please include those who have died)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 25 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>~F3982~ was collected from participants who indicated they were adopted as a child, as defined by their answers to ~F1767~	2012-01-05T00:00:00	2023-03-08T00:00:00	7435	8509	26	1	1	1
3992	Age emphysema/chronic bronchitis diagnosed	0	0	0	11	0	0	0	1	0	0	years	100044	100291	2	0	3	0	0	ACE touchscreen question "What was your age when the emphysema/chronic bronchitis was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F3992~ was collected from participants who indicated they were told by a doctor that they have had emphysema or chronic bronchitis, as defined by their answers to ~F6152~	2012-01-05T00:00:00	2023-03-07T00:00:00	8948	9291	9	1	1	1
4012	Age deep-vein thrombosis (DVT, blood clot in leg) diagnosed	0	0	0	11	0	0	0	1	0	0	years	100044	100291	2	0	3	0	0	ACE touchscreen question "What was your age when the blood clot in the leg (DVT) was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F4012~ was collected from participants who indicated they were told by a doctor that they have had a Blood clot in the leg (DVT) , as defined by their answers to ~F6152~	2012-01-05T00:00:00	2023-03-08T00:00:00	10693	11581	7	1	1	1
4022	Age pulmonary embolism (blood clot in lung) diagnosed	0	0	0	11	0	0	0	1	0	0	years	100044	100291	2	0	3	0	0	ACE touchscreen question "What was your age when the blood clot in the lung was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F4022~ was collected from participants who indicated they were told by a doctor that they have had a blood clot in the lung , as defined by their answers to ~F6152~	2012-01-05T00:00:00	2023-03-07T00:00:00	4484	4898	8	1	1	1
4041	Gestational diabetes only	0	0	0	21	11	0	0	1	0	2		100044	100617	2	0	3	0	0	ACE touchscreen question "Did you only have diabetes during pregnancy?"<p>~F4041~ was collected from women who indicated that a doctor had told them they had diabetes, as defined by their answers to ~F2443~	2012-01-05T00:00:00	2023-03-07T00:00:00	11202	12172	13	1	1	1
4056	Age stroke diagnosed	0	0	0	11	0	0	0	1	0	0	years	100044	100291	2	0	3	0	0	ACE touchscreen question "What was your age when the stroke was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F4056~ was collected from participants who indicated they were told by a doctor that they have had a stroke, as defined by their answers to ~F6150~	2012-01-05T00:00:00	2023-03-07T00:00:00	8453	9012	4	1	1	1
4067	Facial pains for 3+ months	0	0	0	21	11	0	0	1	0	0		100048	100349	2	0	3	0	0	ACE touchscreen question "Have you had facial pains for more than 3 months?"<p>~F4067~ was collected from participants who indicated that in the last month they experienced facial pain that interfered with their usual activities, as defined by their answers to ~F6159~	2012-01-05T00:00:00	2023-03-07T00:00:00	10085	10335	3	1	1	1
4079	Diastolic blood pressure, automated reading	0	0	0	11	0	0	0	1	1	0	mmHg	100011	0	2	0	3	0	1	Blood pressure, automated reading, diastolic. Two measures of blood pressure were taken a few moments apart. <p>Range returned by the Omron device is is 0-255	2012-01-05T00:00:00	2023-03-08T00:00:00	475730	1082373	0	1	1	1
4080	Systolic blood pressure, automated reading	0	0	0	11	0	0	0	1	1	0	mmHg	100011	0	2	0	3	0	1	Blood pressure, automated reading, systolic. Two measures of blood pressure were taken a few moments apart. <p> Range returned by the Omron device is is 0-255	2012-01-05T00:00:00	2023-03-08T00:00:00	475725	1082300	0	1	1	1
4081	Method of measuring blood pressure	0	0	0	21	11	0	2	1	1	0		100011	100259	2	0	3	0	1	Blood pressure, method of collecting reading	2012-01-05T00:00:00	2023-03-08T00:00:00	501528	1169309	0	1	1	1
4092	Heel ultrasound method (left)	0	0	0	21	11	0	0	1	0	0		100018	100260	2	0	3	0	0	Method used for the Ultrasound Bone Densitometry of left heel	2012-01-05T00:00:00	2022-12-24T00:00:00	219284	254865	16	1	1	1
4093	Fractured heel (left)	0	0	0	21	11	0	0	1	0	0		100018	27	2	0	3	0	0	This field indicates whether the left heel had ever been fractured.	2012-01-05T00:00:00	2019-08-14T00:00:00	201586	224812	15	1	1	1
4095	Heel ultrasound method (right)	0	0	0	21	11	0	0	1	0	0		100018	100260	2	0	3	0	0	Method used for the Ultrasound Bone Densitometry of right heel	2012-01-05T00:00:00	2022-12-24T00:00:00	219284	254865	16.5	1	1	1
4096	Fractured heel (right)	0	0	0	21	11	0	0	1	0	0		100018	27	2	0	3	0	0	This field indicates whether the right heel had ever been fractured.	2012-01-05T00:00:00	2019-08-14T00:00:00	201844	225240	15.5	1	1	1
4100	Ankle spacing width (left)	0	0	0	31	0	0	0	1	0	0	mm	100018	0	2	0	3	0	0	Left ankle width as indicated by the spacing between measurement transducer pads on heel	2012-01-05T00:00:00	2022-01-01T00:00:00	196732	218781	17	1	1	1
4101	Heel broadband ultrasound attenuation (left)	0	0	0	31	0	0	0	1	0	0	dB/MHz	100018	0	2	0	3	0	0	Broadband ultrasound attenuation through left heel	2012-01-05T00:00:00	2022-01-01T00:00:00	196722	218771	19	1	1	1
4103	Speed of sound through heel (left)	0	0	0	31	0	0	2	1	0	0	m/s	100018	0	2	0	3	0	0	Speed of sound through left ankle<p>Typically 1450-1700 m/s	2012-01-05T00:00:00	2022-01-01T00:00:00	196732	218781	18	1	1	1
4104	Heel quantitative ultrasound index (QUI), direct entry (left)	0	0	0	31	0	0	0	1	0	0		100018	0	2	0	3	0	0	The QUI or 'stiffness' is based on measure of the speed of sound and broadband ultrasound attenuation. Direct entry.	2012-01-05T00:00:00	2022-01-01T00:00:00	196732	218781	20	1	1	1
4105	Heel bone mineral density (BMD) (left)	0	0	0	31	0	0	0	1	0	0	g/cm2	100018	0	2	0	3	0	0	Estimation of bone mineral density (BMD) in the left heel is based on the Quantitative Ultrasound Index through the calcaneus. Direct entry.	2012-01-05T00:00:00	2022-01-01T00:00:00	196611	218635	21	1	1	1
4106	Heel bone mineral density (BMD) T-score, automated (left)	0	0	0	31	0	0	0	1	0	0	Std.Devs	100018	0	2	0	3	0	0	This T-score is calculated from the ultrasound heel BMD measurement and is based on a person's bone density compared with what is normally expected in someone of the same sex. The units of the T-score are the number of standard deviations (SD) that the bone density is above or below the standard.	2012-01-05T00:00:00	2022-01-01T00:00:00	196732	218781	22	1	1	1
4119	Ankle spacing width (right)	0	0	0	31	0	0	0	1	0	0	mm	100018	0	2	0	3	0	0	Right ankle width as indicated by the spacing between measurement transducer pads on heel	2012-01-05T00:00:00	2022-01-01T00:00:00	196900	219117	17.5	1	1	1
4120	Heel broadband ultrasound attenuation (right)	0	0	0	31	0	0	0	1	0	0	dB/MHz	100018	0	2	0	3	0	0	Broadband ultrasound attenuation through right heel	2012-01-05T00:00:00	2022-01-01T00:00:00	196888	219102	19.5	1	1	1
4122	Speed of sound through heel (right)	0	0	0	31	0	0	2	1	0	0	m/s	100018	0	2	0	3	0	0	Speed of sound through right ankle, m/s<p>Typically 1450-1700 m/s	2012-01-05T00:00:00	2022-01-01T00:00:00	196900	219117	18.5	1	1	1
4123	Heel quantitative ultrasound index (QUI), direct entry (right)	0	0	0	31	0	0	0	1	0	0		100018	0	2	0	3	0	0	The QUI or 'stiffness' is based on measure of the speed of sound and broadband ultrasound attenuation. Direct entry.	2012-01-05T00:00:00	2022-01-01T00:00:00	196900	219117	20.5	1	1	1
4124	Heel bone mineral density (BMD) (right)	0	0	0	31	0	0	0	1	0	0	g/cm2	100018	0	2	0	3	0	0	Estimation of bone mineral density (BMD) in the left heel is based on the Quantitative Ultrasound Index through the calcaneus. Direct entry.	2012-01-05T00:00:00	2022-01-01T00:00:00	196770	218968	21.5	1	1	1
4125	Heel bone mineral density (BMD) T-score, automated (right)	0	0	0	31	0	0	0	1	0	0	Std.Devs	100018	0	2	0	3	0	0	This T-score is calculated from the ultrasound heel BMD measurement and is based on a person's bone density compared with what is normally expected in someone of the same sex. The units of the T-score are the number of standard deviations (SD) that the bone density is above or below the standard.	2012-01-05T00:00:00	2022-01-01T00:00:00	196900	219117	22.5	1	1	1
4136	Arterial pulse-wave stiffness device ID	0	0	0	41	0	0	2	1	0	0		100007	0	2	0	3	0	0	Stiffness device ID	2012-01-05T00:00:00	2023-03-08T00:00:00	223748	261645	0	1	1	1
4138	Heel bone mineral density (BMD) T-score, manual entry (left)	0	0	0	31	0	0	0	1	0	0	Std.Devs	100018	0	2	0	3	0	0	This T-score is calculated from the ultrasound heel BMD measurement and is based on a person's bone density compared with what is normally expected in someone of the same sex. The units of the T-score are the number of standard deviations (SD) that the bone density is above or below the standard.	2012-01-05T00:00:00	2019-08-14T00:00:00	6008	6015	27	1	1	1
4139	Heel quantitative ultrasound index (QUI), manual entry (left)	0	0	0	31	0	0	0	1	0	0		100018	0	2	0	3	0	0	The QUI or 'stiffness' is based on measure of the speed of sound and broadband ultrasound attenuation. Manual entry.	2012-01-05T00:00:00	2019-08-14T00:00:00	6008	6015	25	1	1	1
4140	Heel bone mineral density (BMD), manual entry (left)	0	0	0	31	0	0	0	1	0	0	g/cm2	100018	0	2	0	3	0	0	Estimation of bone mineral density (BMD) in the left heel is based on the Quantitative Ultrasound Index through the calcaneus. Manual entry.	2012-01-05T00:00:00	2019-08-14T00:00:00	6008	6015	26	1	1	1
4141	Heel broadband ultrasound attenuation (BUA), manual entry (left)	0	0	0	31	0	0	0	1	0	0	dB/MHz	100018	0	2	0	3	0	0	Left heel BUA (manual entry)	2012-01-05T00:00:00	2019-08-14T00:00:00	6008	6015	24	1	1	1
4142	Speed of sound through heel, manual entry (left)	0	0	0	31	0	0	2	1	0	0	m/s	100018	0	2	0	3	0	0	Speed of sound through left ankle <p> Typically 1450-1700 m/s	2012-01-05T00:00:00	2019-08-14T00:00:00	6008	6015	23	1	1	1
4143	Heel bone mineral density (BMD) T-score, manual entry (right)	0	0	0	31	0	0	0	1	0	0	Std.Devs	100018	0	2	0	3	0	0	This T-score is calculated from the ultrasound heel BMD measurement and is based on a person's bone density compared with what is normally expected in someone of the same sex. The units of the T-score are the number of standard deviations (SD) that the bone density is above or below the standard.	2012-01-05T00:00:00	2019-08-14T00:00:00	6102	6112	27.5	1	1	1
4144	Heel quantitative ultrasound index (QUI), manual entry (right)	0	0	0	31	0	0	0	1	0	0		100018	0	2	0	3	0	0	The QUI or 'stiffness' is based on measure of the speed of sound and broadband ultrasound attenuation. Manual entry.	2012-01-05T00:00:00	2019-08-14T00:00:00	6102	6112	25.5	1	1	1
4145	Heel bone mineral density (BMD), manual entry (right)	0	0	0	31	0	0	0	1	0	0	g/cm2	100018	0	2	0	3	0	0	Estimation of bone mineral density (BMD) in the right heel is based on the Quantitative Ultrasound Index through the calcaneus. Manual entry.	2012-01-05T00:00:00	2019-08-14T00:00:00	6102	6112	26.5	1	1	1
4146	Heel broadband ultrasound attenuation (BUA), manual entry (right)	0	0	0	31	0	0	0	1	0	0	dB/MHz	100018	0	2	0	3	0	0	Right heel BUA (manual entry)	2012-01-05T00:00:00	2019-08-14T00:00:00	6102	6112	24.5	1	1	1
4147	Speed of sound through heel, manual entry (right)	0	0	0	31	0	0	2	1	0	0	m/s	100018	0	2	0	3	0	0	Speed of sound through right ankle <p> Typically 1450-1700 m/s	2012-01-05T00:00:00	2019-08-14T00:00:00	6102	6112	23.5	1	1	1
4186	Stiffness method	0	0	0	21	11	0	0	1	0	0		100007	100263	2	0	3	0	0	Stiffness method described whether the measure was perfomed, and if so, whether the data was entered into the machine directly or manually.	2012-01-05T00:00:00	2023-03-08T00:00:00	220761	256283	0	1	1	1
4194	Pulse rate	0	0	0	11	0	0	0	1	0	0	bpm	100007	0	2	0	3	0	0	Pulse rate during arterial stiffness measurement	2012-01-05T00:00:00	2023-03-08T00:00:00	217007	250686	0	1	1	1
4195	Pulse wave reflection index	0	0	0	11	0	0	0	1	0	0		100007	0	2	0	3	0	0	reflection index is a measure of reflection<p>A digital volume pulse can be considered to be the summation of a direct and a reflected component. The direct component is due to transmission of a pressure wave from the left ventricle to the finger via the most direct route. The reflected component is formed by pressure transmitted from the heart to the lower body where it is reflected back up the aorta and thence to the finger. if 'b' is the height of direct wave peak and 'a' is the height of reflected wave peak the reflected index = (a/b) * 100%	2012-01-05T00:00:00	2023-03-08T00:00:00	217007	250686	0	1	1	1
4196	Pulse wave peak to peak time	0	0	0	11	0	0	0	1	0	0	milliseconds	100007	0	2	0	3	0	0	peak to peak time in milliseconds<p>A digital volume pulse can be considered to be the summation of a direct and a reflected component. The direct component is due to transmission of a pressure wave from the left ventricle to the finger via the most direct route. The reflected component is formed by pressure transmitted from the heart to the lower body where it is reflected back up the aorta and thence to the finger. peak to peak time is the difference between the peak values of direct and reflected components.	2012-01-05T00:00:00	2023-03-08T00:00:00	216884	250530	0	1	1	1
4198	Position of the pulse wave peak	0	0	0	11	0	0	2	1	0	0		100007	0	2	0	3	0	0	position of the peak<p>A digital volume pulse can be considered to be the summation of a direct and a reflected component. The direct component is due to transmission of a pressure wave from the left ventricle to the finger via the most direct route. The reflected component is formed by pressure transmitted from the heart to the lower body where it is reflected back up the aorta and thence to the finger. This field is the time when the peak occurs in the waveform.	2012-01-05T00:00:00	2023-03-08T00:00:00	217007	250686	0	1	1	1
4199	Position of pulse wave notch	0	0	0	11	0	0	2	1	0	0		100007	0	2	0	3	0	0	position of the notch<p>A digital volume pulse can be considered to be the summation of a direct and a reflected component. The direct component is due to transmission of a pressure wave from the left ventricle to the finger via the most direct route. The reflected component is formed by pressure transmitted from the heart to the lower body where it is reflected back up the aorta and thence to the finger. This is the time when when notch occurs in the waveform.	2012-01-05T00:00:00	2023-03-08T00:00:00	217007	250686	0	1	1	1
4200	Position of the shoulder on the pulse waveform	0	0	0	11	0	0	2	1	0	0		100007	0	2	0	3	0	0	position of the shoulder on the waveform<p>A digital volume pulse can be considered to be the summation of a direct and a reflected component. The direct component is due to transmission of a pressure wave from the left ventricle to the finger via the most direct route. The reflected component is formed by pressure transmitted from the heart to the lower body where it is reflected back up the aorta and thence to the finger. This field is the time of the shoulder like curve in the waveform.	2012-01-05T00:00:00	2023-03-08T00:00:00	217007	250686	0	1	1	1
4204	Absence of notch position in the pulse waveform	0	0	0	21	11	0	2	1	0	0		100007	12	2	0	3	0	0	Has value true if there is no notch position in the waveform	2012-01-05T00:00:00	2023-03-08T00:00:00	217007	250686	0	1	1	1
4205	Pulse wave pressure versus time response curve	0	0	0	101	0	0	0	1	0	0		100007	0	2	0	3	0	0	Wave data containing 3 waveforms, each consisting of one direct and one reflected component.<p>A digital volume pulse can be considered to be the summation of a direct and a reflected component. The direct component is due to transmission of a pressure wave from the left ventricle to the finger via the most direct route. The reflected component is formed by pressure transmitted from the heart to the lower body where it is reflected back up the aorta and thence to the finger. Each waveform is actually a single pulse with 100 points. Since the heart rate is in beats per minute, a single beat takes 60seconds / Heart Rate and time between two beats is (60/Heart Rate)/100.<p>The data is formatted as follows:<ul><li>The first number (i.e. digits before the first '|' character)indicate the number of points X,Y for the curve.</li><li>Each pair of X,Y values is separated by a '|' character from the preceding/succeeding pair.</li><li>Each pair of X,Y values is separated internally by a ',' character.</ul>The X-axis is the time in milliseconds and the Y-axis is the Pulse signal strength in arbitrary units.	2012-01-05T00:00:00	2023-03-08T00:00:00	217008	250687	0	1	1	1
4206	Arterial stiffness device ID	0	0	0	41	0	0	2	1	0	0		100007	0	2	0	3	0	0	UKB ID number of the instrument that was used to perform stiffness test.	2012-01-05T00:00:00	2023-03-08T00:00:00	220761	256283	0	1	1	1
4207	Pulse wave velocity (manual entry)	0	0	0	31	0	0	0	1	0	0	m/s	100007	0	2	0	3	0	0	Velocity (manual entry)	2012-01-05T00:00:00	2023-03-02T00:00:00	648	648	0	1	1	1
4229	Triplet played (left)	0	0	0	41	0	0	0	1	1	0		100049	0	2	0	3	1	15	This is the triplet played in each round of the hearing test (left ear)	2012-01-05T00:00:00	2023-03-08T00:00:00	217748	3777453	250	1	1	1
4230	Signal-to-noise-ratio (SNR) of triplet (left)	0	0	0	11	0	0	0	1	1	0		100049	0	2	0	3	1	15	This is the signal-to-noise ratio for each round (left ear)	2012-01-05T00:00:00	2023-03-08T00:00:00	217748	3777453	210	1	1	1
4232	Triplet correct (left)	0	0	0	21	11	0	0	1	1	0		100049	29	2	0	3	1	15	This denotes whether the triplet in each round was correctly heard and entered by the participant (left ear)	2012-01-05T00:00:00	2023-03-08T00:00:00	217354	3774686	230	1	1	1
4233	Mean signal-to-noise ratio (SNR), (left)	0	0	0	31	0	0	0	1	1	0		100049	7667	2	0	3	1	15	This is the mean signal-to-noise ratio for rounds 8 onwards (left ear). The triplets played in rounds 1-5 represent the 'hunting phase' where the SNR change is 2 levels (equivalent to 4 dB) harder following a correct response and 2 levels easier following a wrong response, as opposed to a change of 1 level (2 dB) in rounds 8 to 15. Value is stored as -99999 for rounds 1-7.	2012-01-05T00:00:00	2023-03-08T00:00:00	217355	3774701	170	1	1	1
4234	Time to press first digit (left)	0	0	0	11	0	0	2	1	1	0	deciseconds	100049	0	2	0	3	1	15	This is the time taken to press the first digit on the touchscreen in each round (left ear). This should not be used as a marker of reaction time as participants were not explicitly instructed to complete the test as quickly as possible.	2012-01-05T00:00:00	2023-03-08T00:00:00	217354	3774686	350	1	1	1
4235	Time to press last digit (left)	0	0	0	11	0	0	2	1	1	0	deciseconds	100049	0	2	0	3	1	15	This is the time taken to press the last digit on the touchscreen in each round (left ear). This should not be used as a marker of reaction time as participants were not explicitly instructed to complete the test as quickly as possible.	2012-01-05T00:00:00	2023-03-08T00:00:00	217354	3774686	330	1	1	1
4236	Triplet entered (left)	0	0	0	41	0	0	0	1	1	0		100049	0	2	0	3	1	15	This is the triplet entered by the participant for each round (left ear).	2012-01-05T00:00:00	2023-03-08T00:00:00	217354	3774686	270	1	1	1
4237	Time to press 'next' (left)	0	0	0	11	0	0	2	1	1	0	deciseconds	100049	17	2	0	3	1	15	This is the time taken to press the 'next' key on the touchscreen in each round since the triplet played (left ear). This should not be used as a marker of reaction time as participants were not explicity instructed to complete the test as quickly we possible.	2012-01-05T00:00:00	2023-03-08T00:00:00	217354	3774686	310	1	1	1
4238	Keystroke history (left)	0	0	0	41	0	0	2	1	1	0		100049	0	2	0	3	1	15	This is the keystroke history for the hearing test (left ear)	2012-01-05T00:00:00	2023-03-08T00:00:00	217748	3777453	390	1	1	1
4239	Number of times 'clear' was pressed (left)	0	0	0	11	0	0	2	1	1	0		100049	0	2	0	3	1	15	This is the number of times the 'clear' key was pressed to reset the triplet entry during the hearing test for the left ear.	2012-01-05T00:00:00	2023-03-08T00:00:00	217748	3777453	290	1	1	1
4240	Triplet played (right)	0	0	0	41	0	0	0	1	1	0		100049	0	2	0	3	1	15	This is the triplet played in each round of the hearing test (right ear)	2012-01-05T00:00:00	2023-03-08T00:00:00	217842	3778748	260	1	1	1
4241	Signal-to-noise-ratio (SNR) of triplet (right)	0	0	0	11	0	0	0	1	1	0		100049	0	2	0	3	1	15	This is the signal-to-noise ratio for each round (right ear)	2012-01-05T00:00:00	2023-03-08T00:00:00	217842	3778748	220	1	1	1
4242	Triplet entered (right)	0	0	0	41	0	0	0	1	1	0		100049	0	2	0	3	1	15	This is the triplet entered by the participant for each round (right ear).	2012-01-05T00:00:00	2023-03-08T00:00:00	217452	3776003	280	1	1	1
4243	Triplet correct (right)	0	0	0	21	11	0	0	1	1	0		100049	29	2	0	3	1	15	This denotes whether the triplet in each round was correctly heard and entered by the participant (right ear)	2012-01-05T00:00:00	2023-03-08T00:00:00	217452	3776003	240	1	1	1
4244	Mean signal-to-noise ratio (SNR), (right)	0	0	0	31	0	0	0	1	1	0		100049	7667	2	0	3	1	15	This is the mean signal-to-noise ratio for rounds 8 onwards (right ear). The triplets played in rounds 1-5 represent the 'hunting phase' where the SNR change is 2 levels (equivalent to 4 dB) harder following a correct response and 2 levels easier following a wrong response, as opposed to a change of 1 level (2 dB) in rounds 8 to 15. Value is stored as -99999 for rounds 1-7.	2012-01-05T00:00:00	2023-03-08T00:00:00	217453	3776018	180	1	1	1
4245	Time to press first digit (right)	0	0	0	11	0	0	2	1	1	0	deciseconds	100049	0	2	0	3	1	15	This is the time taken to press the first digit on the touchscreen in each round (right ear). This should not be used as a marker of reaction time as participants were not explicitly instructed to complete the test as quickly as possible.	2012-01-05T00:00:00	2023-03-08T00:00:00	217452	3776003	360	1	1	1
4246	Time to press last digit (right)	0	0	0	11	0	0	2	1	1	0	deciseconds	100049	0	2	0	3	1	15	This is the time taken to press the last digit on the touchscreen in each round (right ear). This should not be used as a marker of reaction time as participants were not explicitly instructed to complete the test as quickly as possible.	2012-01-05T00:00:00	2023-03-08T00:00:00	217452	3776003	340	1	1	1
4247	Time to press 'next' (right)	0	0	0	11	0	0	2	1	1	0	deciseconds	100049	17	2	0	3	1	15	This is the time taken to press the 'next' key on the touchscreen in each round since the triplet played (right ear). This should not be used as a marker of reaction time as participants were not explicity instructed to complete the test as quickly we possible.	2012-01-05T00:00:00	2023-03-08T00:00:00	217452	3776003	320	1	1	1
4248	Keystroke history (right)	0	0	0	41	0	0	2	1	1	0		100049	0	2	0	3	1	15	This is the keystroke history for the hearing test (right ear)	2012-01-05T00:00:00	2023-03-08T00:00:00	217842	3778748	400	1	1	1
4249	Number of times 'clear' was pressed (right)	0	0	0	11	0	0	2	1	1	0		100049	0	2	0	3	1	15	This is the number of times the 'clear' key was pressed to reset the triplet entry during the hearing test for the right ear.	2012-01-05T00:00:00	2023-03-08T00:00:00	217842	3778748	300	1	1	1
4250	Number of digits to be memorised/recalled	0	0	0	11	0	0	2	1	1	0		100029	0	2	0	3	0	15	This is the length of the number shown to the participant. The length was capped at 12 digits.	2012-01-05T00:00:00	2022-12-24T00:00:00	90954	813912	4	1	1	1
4251	Target number to be memorised	0	0	0	41	0	0	2	1	1	0		100029	0	2	0	3	0	15	The number displayed to the participant.	2012-01-05T00:00:00	2022-12-24T00:00:00	90950	813906	5	1	1	1
4252	Target number to be entered	0	0	0	41	0	0	2	1	1	0	milliseconds	100029	0	2	0	3	0	15	This is the number the participant was expected to enter - the reverse of ~F4251~	2012-01-05T00:00:00	2022-12-24T00:00:00	90950	813906	6	1	1	1
4253	Time number displayed for	0	0	0	11	0	0	2	1	1	0	milliseconds	100029	0	2	0	3	0	15	The time the number to be memorised was visible to the participant.	2012-01-05T00:00:00	2022-12-24T00:00:00	90950	813906	8	1	1	1
4254	Time first key touched	0	0	0	11	0	0	2	1	1	0	milliseconds	100029	0	2	0	3	0	15	When the participant touched the first key while entering a remembered number.	2012-01-05T00:00:00	2022-12-24T00:00:00	90935	813811	11	1	1	1
4255	Time last key touched	0	0	0	11	0	0	2	1	1	0	milliseconds	100029	0	2	0	3	0	15	When the participant touched the last key while entering a remembered number.	2012-01-05T00:00:00	2022-12-24T00:00:00	90935	813811	12	1	1	1
4256	Time elapsed	0	0	0	11	0	0	2	1	1	0	milliseconds	100029	0	2	0	3	0	15	This is the time the participant had been using the touchscreen before beginning the numeric memory test.	2012-01-05T00:00:00	2022-12-24T00:00:00	90935	813811	13	1	1	1
4257	Keystroke history	0	0	0	41	0	0	2	1	1	0		100029	0	2	0	3	0	15	This records the actual keys touched by the participant while entering a number, including edits/deletions.	2012-01-05T00:00:00	2022-12-24T00:00:00	90954	813912	14	1	1	1
4258	Number entered by participant	0	0	0	41	0	0	0	1	1	0		100029	0	2	0	3	0	15	This is the number entered by participant in each round.	2012-01-05T00:00:00	2022-12-24T00:00:00	90935	813811	7	1	1	1
4259	Digits entered correctly	0	0	0	21	11	0	0	1	1	0		100029	29	2	0	3	0	15	Indicates whether the participant correctly entered all the digits in reverse order. This is true if ~F4252~ is equal to ~F4258~	2012-01-05T00:00:00	2022-12-24T00:00:00	90935	813811	9	1	1	1
4260	Round of numeric memory test	0	0	0	11	0	0	0	1	1	0		100029	0	2	0	3	0	15	Indicates which round of the numeric memory test the associated results belong to.	2012-01-05T00:00:00	2022-12-24T00:00:00	90954	813912	3	1	1	1
4268	Completion status (left)	0	0	0	21	11	0	0	1	0	0		100049	30	2	0	3	0	0	This denotes whether the hearing test was not-started, abandoned or completed (left ear).	2012-01-05T00:00:00	2023-03-08T00:00:00	219396	257031	150	1	1	1
4269	Number of triplets attempted (left)	0	0	0	11	0	0	0	1	0	0		100049	0	2	0	3	0	0	This is the number of triplet rounds attempted (0-15), for the left ear.	2012-01-05T00:00:00	2023-03-08T00:00:00	219396	257031	190	1	1	1
4270	Volume level set by participant (left)	0	0	0	21	11	0	0	1	0	0		100049	15	2	0	3	0	0	Volume level set by participant for left ear as a percentage of the maximum volume. Note that these value do not have some absolute correspondence to a dB scale as the maximum volume could vary between pieces of equipment and the choice might have been influenced by the level of background noise in the touchscreen area.	2012-01-05T00:00:00	2023-03-08T00:00:00	217748	255019	370	1	1	1
4272	Duration of hearing test (left)	0	0	0	11	0	0	2	1	0	0	deciseconds	100049	0	2	0	3	0	0	This is the total duration of the hearing test for the left ear. This should not be used as a marker of reaction time as participants were not explicity instructed to complete the test as quickly as possible.	2012-01-05T00:00:00	2023-03-08T00:00:00	219396	257031	130	1	1	1
4275	Completion status (right)	0	0	0	21	11	0	0	1	0	0		100049	30	2	0	3	0	0	This denotes whether the hearing test was not-started, abandoned or completed (right ear).	2012-01-05T00:00:00	2023-03-08T00:00:00	219535	257225	160	1	1	1
4276	Number of triplets attempted (right)	0	0	0	11	0	0	0	1	0	0		100049	0	2	0	3	0	0	This is the number of triplet rounds attempted (0-15), for the right ear.	2012-01-05T00:00:00	2023-03-08T00:00:00	219535	257225	200	1	1	1
4277	Volume level set by participant (right)	0	0	0	21	11	0	0	1	0	0		100049	15	2	0	3	0	0	Volume level set by participant for right ear as a percentage of the maximum volume. Note that these value do not have some absolute correspondence to a dB scale as the maximum volume could vary between pieces of equipment and the choice might have been influenced by the level of background noise in the touchscreen area.	2012-01-05T00:00:00	2023-03-08T00:00:00	217842	255146	380	1	1	1
4279	Duration of hearing test (right)	0	0	0	11	0	0	2	1	0	0		100049	0	2	0	3	0	0	This is the total duration of the hearing test for the left ear. This should not be used as a marker of reaction time as participants were not explicity instructed to complete the test as quickly as possible.	2012-01-05T00:00:00	2023-03-08T00:00:00	219535	257225	140	1	1	1
4281	Completion status of numeric memory test	0	0	0	21	11	0	0	1	0	0		100029	31	2	0	3	0	0	Completion status of numeric memory test	2012-01-05T00:00:00	2022-12-24T00:00:00	91280	100088	1	1	1	1
4282	Maximum digits remembered correctly	0	0	0	11	0	0	0	1	0	0		100029	100696	2	0	3	0	0	Longest number correctly recalled during the numeric memory test. A value of -1 is recorded if the participant chose to abandon the test before completing the first round.	2012-01-05T00:00:00	2022-12-24T00:00:00	91280	100088	10	1	1	1
4283	Number of rounds of numeric memory test performed	0	0	0	11	0	0	0	1	0	0	rounds	100029	100696	2	0	3	0	0	Number of rounds of numeric memory test performed	2012-01-05T00:00:00	2022-12-24T00:00:00	91280	100088	2	1	1	1
4285	Time to complete test	0	0	0	11	0	0	2	1	0	0	deciseconds	100029	0	2	0	3	0	0	Total time use by numeric memory test from first to last rounds.	2012-01-05T00:00:00	2022-12-24T00:00:00	91280	100088	15	1	1	1
4286	Time when initial screen shown	0	0	0	61	0	0	0	1	0	0		100031	0	2	0	3	0	0		2012-01-05T00:00:00	2023-03-08T00:00:00	221788	258227	8	1	1	1
4287	Test completion status	0	0	0	21	11	0	0	1	0	0		100031	32	2	0	3	0	0		2012-01-05T00:00:00	2023-03-08T00:00:00	221787	258226	1	1	1	1
4288	Time to answer	0	0	0	11	0	0	0	1	0	0	seconds	100031	0	2	0	3	0	0	This is the time between completing the initial prompt and displaying answer. Between the initial prompt and the final challenge, various other tests were done so the time here depends strongly on how long the participants took to do these intervening tests and the number/complexity of them. The number of intervening tests has varied throughout the study, generally being larger at the imaging centres than in the original assessment centres, and hence there is systematic bias across time.	2012-01-05T00:00:00	2023-03-08T00:00:00	221787	258226	9	1	1	1
4289	Time screen exited	0	0	0	61	0	0	0	1	0	0		100031	0	2	0	3	0	0		2012-01-05T00:00:00	2023-03-08T00:00:00	221788	258227	10	1	1	1
4290	Duration screen displayed	0	0	0	11	0	0	0	1	0	0	deciseconds	100031	0	2	0	3	0	0	Time for which screen was visible.	2012-01-05T00:00:00	2023-03-08T00:00:00	221787	258226	7	1	1	1
4291	Number of attempts	0	0	0	11	0	0	0	1	0	0		100031	0	2	0	3	0	0		2012-01-05T00:00:00	2023-03-08T00:00:00	221787	258225	5	1	1	1
4292	PM: initial answer	0	0	0	21	11	0	0	1	0	0		100031	16	2	0	3	0	0	Participants were allowed up to 2 attempts to correctly recall the colour/shape shown to them earlier in the touchscreen section. This is the first answer they gave.	2012-01-05T00:00:00	2023-03-08T00:00:00	221787	258226	2	1	1	1
4293	PM: final answer	0	0	0	21	11	0	0	1	0	0		100031	16	2	0	3	0	0	Participants were allowed up to 2 attempts to correctly recall the colour/shape shown to them earlier in the touchscreen section. This is the final answer they gave - whether it is their first or second attempt can be gauged from ~F4291~.	2012-01-05T00:00:00	2023-03-08T00:00:00	221787	258226	3	1	1	1
4294	Final attempt correct	0	0	0	21	11	0	0	1	0	0		100031	29	2	0	3	0	0	True if final answer given was correct.	2012-01-05T00:00:00	2023-03-08T00:00:00	221787	258226	4	1	1	1
4295	History of attempts	0	0	0	41	0	0	0	1	0	0		100031	0	2	0	3	0	0	Records the history of attempts the user made at answering.	2012-01-05T00:00:00	2023-03-08T00:00:00	221787	258226	6	1	1	1
4407	Average monthly red wine intake	0	0	0	11	0	0	0	1	0	0	glasses	100051	100291	2	0	3	0	0	ACE touchscreen question "In an average MONTH, how many glasses of RED wine would you drink?  (There are six glasses in an average bottle)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 250 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please include sparkling red wine here.<br></i></td></tr></table><p>~F4407~ was collected from participants who indicated they drink alcohol on special occasions or one to three times a month, as defined by their answers to ~F1558~	2012-01-05T00:00:00	2023-03-08T00:00:00	55018	60773	3	1	1	1
4418	Average monthly champagne plus white wine intake	0	0	0	11	0	0	0	1	0	0	glasses	100051	100291	2	0	3	0	0	ACE touchscreen question "In an average MONTH, how many glasses of WHITE wine or champagne would you drink?  (There are six glasses in an average bottle)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 250 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please include sparkling white wine here.<br></i></td></tr></table><p>~F4418~ was collected from participants who indicated they drink alcohol on special occasions or one to three times a month, as defined by their answers to ~F1558~	2012-01-05T00:00:00	2023-03-08T00:00:00	55018	60773	4	1	1	1
4429	Average monthly beer plus cider intake	0	0	0	11	0	0	0	1	0	0	pints	100051	100291	2	0	3	0	0	ACE touchscreen question "In an average MONTH, how many pints of beer or cider would you drink? (Include bitter, lager, stout, ale, Guinness)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 250 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>~F4429~ was collected from participants who indicated they drink alcohol on special occasions or one to three times a month, as defined by their answer to ~F1558~	2012-01-05T00:00:00	2023-03-08T00:00:00	55018	60773	5	1	1	1
4440	Average monthly spirits intake	0	0	0	11	0	0	0	1	0	0	measures	100051	100291	2	0	3	0	0	ACE touchscreen question "In an average MONTH, how many measures of spirits or liqueurs would you drink? (there are 25 standard measures in a normal sized bottle;  spirits include drinks such as whisky, gin, rum, vodka, brandy)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 250 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>~F4440~ was collected from participants who indicated they drink alcohol on special occasions or one to three times a month, as defined by their answers to ~F1558~	2012-01-05T00:00:00	2023-03-08T00:00:00	55018	60773	6	1	1	1
4451	Average monthly fortified wine intake	0	0	0	11	0	0	0	1	0	0	glasses	100051	100291	2	0	3	0	0	ACE touchscreen question "In an average MONTH, how many glasses of fortified wine would you drink? (There are 12 glasses in an average bottle) (Fortified wines include drinks such as sherry, port, vermouth)"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > 250 then rejected</li><li>If answer > 10 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Fortified wines include: Sherry, Port, Vermouth, Muscat,<br>Madeira, Malaga, Tokay, Frontignan, Frontignac.<br></i></td></tr></table><p>~F4451~ was collected from participants who indicated they drink alcohol on special occasions or one to three times a month, as defined by their answers to ~F1558~	2012-01-05T00:00:00	2023-03-08T00:00:00	55018	60773	7	1	1	1
4462	Average monthly intake of other alcoholic drinks	0	0	0	11	0	0	0	1	0	0	glasses	100051	100291	2	0	3	0	0	ACE touchscreen question "In an average MONTH, how many glasses of other alcoholic drinks (such as alcopops) would you drink?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li></ul><p>~F4462~ was collected from participants who indicated they drink alcohol on special occasions or one to three times a month, as defined by their answers to ~F1558~	2012-01-05T00:00:00	2023-03-08T00:00:00	55018	60773	8	1	1	1
4501	Non-accidental death in close genetic family	0	0	0	21	11	0	0	1	0	0		100034	100349	2	0	3	0	0	Introduced part way through fieldwork in April 2009. <p>ACE touchscreen question "Have any of your mother, father, brothers or sisters died suddenly from a non-accidental cause? (Do not include half-, step- or adopted brothers and sisters)"	2012-01-05T00:00:00	2023-03-08T00:00:00	221656	259455	33	1	1	1
4526	Happiness	0	0	0	21	11	0	0	1	0	0		100060	100478	2	0	3	0	0	ACE touchscreen question "In general how happy are you?" <p>Question was introduced into the touchscreen interview part way through fieldwork in April 2009.	2012-01-05T00:00:00	2023-03-08T00:00:00	224820	263264	14	1	1	1
4537	Work/job satisfaction	0	0	0	21	11	0	0	1	0	0		100060	100479	2	0	3	0	0	ACE touchscreen question "In general how satisfied are you with the WORK that you do?" <p>Question was introduced part way through fieldwork in April 2009.	2012-01-05T00:00:00	2023-03-08T00:00:00	224820	263264	15	1	1	1
4548	Health satisfaction	0	0	0	21	11	0	0	1	0	0		100060	100478	2	0	3	0	0	ACE touchscreen question "In general how satisfied are you with your HEALTH?" <p>Question was introduced part way through fieldwork in April 2009.	2012-01-05T00:00:00	2023-03-08T00:00:00	224820	263264	16	1	1	1
4559	Family relationship satisfaction	0	0	0	21	11	0	0	1	0	0		100060	100478	2	0	3	0	0	ACE touchscreen question "In general how satisfied are you with your FAMILY RELATIONSHIPS?" <p>Question was introduced part way through fieldwork in April 2009.	2012-01-05T00:00:00	2023-03-08T00:00:00	224820	263264	17	1	1	1
4570	Friendships satisfaction	0	0	0	21	11	0	0	1	0	0		100060	100478	2	0	3	0	0	ACE touchscreen question "In general how satisfied are you with your FRIENDSHIPS?" <p>Question was introduced part way through fieldwork in April 2009.	2012-01-05T00:00:00	2023-03-08T00:00:00	224820	263264	18	1	1	1
4581	Financial situation satisfaction	0	0	0	21	11	0	0	1	0	0		100060	100478	2	0	3	0	0	ACE touchscreen question "In general how satisfied are you with your FINANCIAL SITUATION?" <p>Question was introduced part way through fieldwork in April 2009.	2012-01-05T00:00:00	2023-03-08T00:00:00	224820	263264	19	1	1	1
4598	Ever depressed for a whole week	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	3	0	0	ACE touchscreen question "Looking back over your life, have you ever had a time when you were feeling depressed or down for at least a whole week?" <p>Question was introduced part way through fieldwork in April 2009.	2012-01-05T00:00:00	2023-03-08T00:00:00	224820	263264	26	1	1	1
4609	Longest period of depression	0	0	0	11	0	0	0	1	0	0	weeks	100060	100291	2	0	3	0	0	ACE touchscreen question "How many weeks was the longest period when you were feeling depressed or down?" <p>Question was introduced part way through fieldwork in April 2009. <p>The following checks were performed: <ul> <li>If answer < 1 then rejected</li> <li>If answer > 999 then rejected</li> </ul> <p>~F4609~ was collected from participants who indicated they have felt depressed or down for at least a whole week, as defined by their answers to ~F4598~	2012-01-05T00:00:00	2023-03-08T00:00:00	118633	134082	27	1	1	1
4620	Number of depression episodes	0	0	0	11	0	0	0	1	0	0	periods	100060	100291	2	0	3	0	0	ACE touchscreen question "How many periods have you had when you were feeling depressed or down for at least a whole week?" <p>Question was introduced part way through fieldwork in April 2009. <p>The following checks were performed: <ul> <li>If answer < 1 then rejected</li> <li>If answer > 9999 then rejected</li> </ul> <p>~F4620~ was collected from participants who indicated they have felt depressed or down for at least a whole week, as defined by their answers to ~F4598~	2012-01-05T00:00:00	2023-03-08T00:00:00	118633	134082	28	1	1	1
4631	Ever unenthusiastic/disinterested for a whole week	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	3	0	0	ACE touchscreen question "Have you ever had a time when you were uninterested in things or unable to enjoy the things you used to for at least a whole week? " <p>Question was introduced part way through fieldwork in April 2009.	2012-01-05T00:00:00	2023-03-08T00:00:00	224820	263264	29	1	1	1
4642	Ever manic/hyper for 2 days	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	3	0	0	ACE touchscreen question "Have you ever had a period of time lasting at least two days when you were feeling so good, "high", excited or "hyper" that other people thought you were not your normal self or you were so "hyper" that you got into trouble?" <p>Question was introduced part way through fieldwork in April 2009.	2012-01-05T00:00:00	2023-03-08T00:00:00	224820	263264	32	1	1	1
4653	Ever highly irritable/argumentative for 2 days	0	0	0	21	11	0	0	1	0	0		100060	100349	2	0	3	0	0	ACE touchscreen question "Have you ever had a period of time lasting at least two days when you were so irritable that you found yourself shouting at people or starting fights or arguments?" <p>Question was introduced part way through fieldwork in April 2009.	2012-01-05T00:00:00	2023-03-08T00:00:00	224820	263264	33	1	1	1
4674	Private healthcare	0	0	0	21	11	0	0	1	0	0		100067	100511	2	0	3	0	0	ACE touchscreen question "Do you use private healthcare?"	2012-01-05T00:00:00	2023-03-08T00:00:00	224820	263264	2	1	1	1
4689	Age glaucoma diagnosed	0	0	0	11	0	0	0	1	0	0	years	100041	100291	2	0	3	0	0	ACE touchscreen question "What was your age when glaucoma was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F4689~ was collected from participants who indicated they have glaucoma, as defined by their answers to ~F6148~	2012-01-05T00:00:00	2023-03-08T00:00:00	4871	5332	20	1	1	1
4700	Age cataract diagnosed	0	0	0	11	0	0	0	1	0	0	years	100041	100291	2	0	3	0	0	ACE touchscreen question "What was your age when a cataract was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F4700~ was collected from participants who indicated they have cataract, as defined by their answers to ~F6148~	2012-01-05T00:00:00	2023-03-08T00:00:00	18195	19662	22	1	1	1
4717	Shortness of breath walking on level ground	0	0	0	21	11	0	0	1	0	0		100037	100349	2	0	3	0	0	ACE touchscreen question "Do you get short of breath walking with people of your own age on level ground?"	2012-01-05T00:00:00	2023-03-08T00:00:00	224820	263264	2	1	1	1
4728	Leg pain on walking	0	0	0	21	11	0	0	1	0	0		100038	100349	2	0	3	0	0	ACE touchscreen question "Do you get a pain in either leg on walking?"	2012-01-05T00:00:00	2023-03-08T00:00:00	224820	263264	1	1	1	1
4792	Cochlear implant	0	0	0	21	11	0	0	1	0	0		100043	100352	2	0	3	0	0	ACE touchscreen question "Do you have a cochlear implant?"<p>~F4792~ was collected from all participants except those who indicated they were completely deaf, as defined by their answers to ~F2247~	2012-01-05T00:00:00	2023-03-08T00:00:00	224679	263118	5	1	1	1
4803	Tinnitus	0	0	0	21	11	0	0	1	0	0		100043	100635	2	0	3	0	0	ACE touchscreen question "Do you get or have you had noises (such as ringing or buzzing) in your head or in one or both ears that lasts for more than  five minutes at a time?"<p>~F4803~ was collected from all participants except those who indicated they were completely deaf, as defined by their answers to ~F2247~	2012-01-05T00:00:00	2023-03-08T00:00:00	224679	263118	6	1	1	1
4814	Tinnitus severity/nuisance	0	0	0	21	11	0	0	1	0	0		100043	100636	2	0	3	0	0	ACE touchscreen question "How much do these noises worry, annoy or upset you when they are at their worst?"<p>~F4814~ was collected from participants who hear or heard noises (such as ringing or buzzing) in their head or in one or both ears that last for more than five minutes at a time, as defined by their answers to ~F4803~ and except those who indicated they were completely deaf, as defined by their answers to ~F4803~	2012-01-05T00:00:00	2023-03-08T00:00:00	70054	78467	7	1	1	1
4825	Noisy workplace	0	0	0	21	11	0	0	1	0	0		100043	100637	2	0	3	0	0	ACE touchscreen question "Have you ever worked in a noisy place where you had to shout to be heard?"<p>~F4825~ was collected from all participants except those who indicated they were completely deaf, as defined by their answers to ~F2247~	2012-01-05T00:00:00	2023-03-08T00:00:00	224679	263118	8	1	1	1
4836	Loud music exposure frequency	0	0	0	21	11	0	0	1	0	0		100043	100637	2	0	3	0	0	ACE touchscreen question "Have you ever listened to music for more than 3 hours per week at a volume which you would need to shout to be heard or, if wearing headphones, someone else would need to shout for you to hear them?"<p>~F4836~ was collected from all participants except those who indicated they were completely deaf, as defined by their answers to ~F2247~	2012-01-05T00:00:00	2023-03-08T00:00:00	224679	263118	9	1	1	1
4849	Hearing test done	0	0	0	21	11	0	0	1	0	0		100049	100640	2	0	3	0	0	ACE touchscreen question "We would now like to measure your hearing using the headphones provided. Are you happy to do this?  (If you are wearing a hearing aid, please remove it before putting the headphones on.  If you cannot find the headphones, or need assistance putting them on, then please ask a member of staff.)"	2012-01-05T00:00:00	2023-03-08T00:00:00	223891	262247	100	1	1	1
4924	Attempted fluid intelligence (FI) test.	0	0	0	21	11	0	0	1	0	0		100027	100642	2	0	3	0	0	ACE touchscreen question "In this next game you will have two minutes to do as many puzzle questions as possible. Don't spend too long on any one puzzle - you can skip any puzzle if you wish.". Participants were offered the chance to skip the Fluid Intelligence test at this point.	2012-01-05T00:00:00	2023-03-08T00:00:00	218442	254608	1	1	1	1
4935	FI1 : numeric addition test	0	0	0	21	11	0	0	1	0	0		100027	100643	2	0	3	0	0	ACE touchscreen question "Add the following numbers together: 1 2 3 4 5 - is the answer?". Part 1 of Fluid Intelligence test. <p>Asked to choose from 13, 14, 15, 16 or 17.	2012-01-05T00:00:00	2023-03-08T00:00:00	215112	250817	2	1	1	1
4946	FI2 : identify largest number	0	0	0	21	11	0	0	1	0	0		100027	100644	2	0	3	0	0	ACE touchscreen question "Which number is the largest?". Part 2 of Fluid Intelligence test.<p> Asked to choose from 642, 308, 987, 714 and 253.	2012-01-05T00:00:00	2023-03-08T00:00:00	214642	250281	3	1	1	1
4957	FI3 : word interpolation	0	0	0	21	11	0	0	1	0	0		100027	100645	2	0	3	0	0	ACE touchscreen question "Bud is to Flower as Child is to?". Part 3 of Fluid Intelligence test.<p>Offered choice from Grow, Develop, Improve, Adult and Old.	2012-01-05T00:00:00	2023-03-08T00:00:00	214513	250127	4	1	1	1
4968	FI4 : positional arithmetic	0	0	0	21	11	0	0	1	0	0		100027	100646	2	0	3	0	0	ACE touchscreen question "11 12 13 14 15 16 17 18 Divide the sixth number to the right of twelve by three. Is the answer?". Part 4 of Fluid Intelligence test.<p>Offered choice from 5, 6, 7, or 8.	2012-01-05T00:00:00	2023-03-08T00:00:00	214126	249691	5	1	1	1
4979	FI5 : family relationship calculation	0	0	0	21	11	0	0	1	0	0		100027	100647	2	0	3	0	0	ACE touchscreen question "If Truda's mother's brother is Tim's sister's father, what relation is Truda to Tim?". Part 5 of Fluid Intelligence test.<p>Offered choice from Aunt, Sister, Niece, Cousin, No-relation.	2012-01-05T00:00:00	2023-03-08T00:00:00	208914	243844	6	1	1	1
4990	FI6 : conditional arithmetic	0	0	0	21	11	0	0	1	0	0		100027	100648	2	0	3	0	0	ACE touchscreen question "If sixty is more than half of seventy-five, multiply twenty-three by three. If not subtract 15 from eighty-five. Is the answer?". Part 6 of Fluid Intelligence test.<p>Offered choice from 68, 69, 70, 71, 72.	2012-01-05T00:00:00	2023-03-08T00:00:00	188685	219723	7	1	1	1
5001	FI7 : synonym	0	0	0	21	11	0	0	1	0	0		100027	100649	2	0	3	0	0	ACE touchscreen question "Stop means the same as?". Part 7 of Fluid Intelligence test. <p>Offered choice from Pause, Close, Cease, Break or Rest.	2012-01-05T00:00:00	2023-03-08T00:00:00	155473	180128	8	1	1	1
5012	FI8 : chained arithmetic	0	0	0	21	11	0	0	1	0	0		100027	100650	2	0	3	0	0	ACE touchscreen question "If David is twenty-one and Owen is nineteen and Daniel is nine years younger than David, what is half their combined age?". Part 8 of Fluid Intelligence test.<p>Offered choice from 25, 26, 27, 28 or 29.	2012-01-05T00:00:00	2023-03-08T00:00:00	141770	163941	9	1	1	1
5057	Number of older siblings	0	0	0	11	0	0	0	1	0	0		100034	100291	2	0	3	0	0	This question was introduced part way through fieldwork in April 2009. <p>ACE touchscreen question "How many OLDER brothers/sisters do you have? (Please include those who have died, and twins. Do not include half-, step- or adopted brothers and sisters)" <p>The following checks were performed: <ul> <li>If answer < 0 then rejected</li> <li>If answer > 25 then rejected</li> <li>If answer > 10 then participant asked to confirm</li> </ul> <p>~F5057~ was collected from participants except those who indicated they were adopted as a child, as defined by their answers to ~F1767~	2012-01-05T00:00:00	2023-03-08T00:00:00	196922	230648	32	1	1	1
5074	Number of letters shown in round (left)	0	0	0	11	0	0	2	1	1	0		100017	0	2	0	1	0	15	Visual acuity (left), number of letters shown in round	2012-01-05T00:00:00	2012-01-06T00:00:00	133029	391708	220	1	1	1
5075	Number of letters shown in round (right)	0	0	0	11	0	0	2	1	1	0		100017	0	2	0	1	0	15	Visual acuity (right), number of letters shown in round	2012-01-05T00:00:00	2012-01-06T00:00:00	133079	385326	230	1	1	1
5076	Number of letters correct in round (right)	0	0	0	11	0	0	2	1	1	0		100017	0	2	0	1	0	15	Visual acuity (right), number of letters correct in round	2012-01-05T00:00:00	2012-01-06T00:00:00	133079	385326	270	1	1	1
5077	Number of letters correct in round (left)	0	0	0	11	0	0	2	1	1	0		100017	0	2	0	1	0	15	Visual acuity (left), number of letters correct in round	2012-01-05T00:00:00	2012-01-06T00:00:00	133029	391708	260	1	1	1
5078	logMAR in round (left)	0	0	0	31	0	0	2	1	1	0		100017	0	2	0	1	0	15	Visual acuity (left), logMAR for round	2012-01-05T00:00:00	2012-01-06T00:00:00	133029	391708	340	1	1	1
5079	logMAR in round (right)	0	0	0	31	0	0	2	1	1	0		100017	0	2	0	1	0	15	Visual acuity (right), logMAR for round	2012-01-05T00:00:00	2012-01-06T00:00:00	133079	385326	350	1	1	1
5080	Displayed letters in round (right)	0	0	0	41	0	0	2	1	1	0		100017	0	2	0	1	0	15	Visual acuity (right), displayed letters in round	2012-01-05T00:00:00	2012-01-06T00:00:00	133079	385326	250	1	1	1
5081	Displayed letters in round (left)	0	0	0	41	0	0	2	1	1	0		100017	0	2	0	1	0	15	Visual acuity (left), displayed letters in round	2012-01-05T00:00:00	2012-01-06T00:00:00	133029	391708	240	1	1	1
5082	Visual acuity result in round (left)	0	0	0	41	0	0	2	1	1	0		100017	0	2	0	1	0	15	Visual acuity (left), letter-by-letter result for round<p>Value is 1 for correct letter, 0 for error. Ordering is same as ~F5081~.	2012-01-05T00:00:00	2012-01-06T00:00:00	133029	391708	380	1	1	1
5083	Visual acuity result in round (right)	0	0	0	41	0	0	2	1	1	0		100017	0	2	0	1	0	15	Visual acuity (left), letter-by-letter result for round<p>Value is 1 for correct letter, 0 for error. Ordering is same as ~F5080~.	2012-01-05T00:00:00	2012-01-06T00:00:00	133079	385326	390	1	1	1
5084	Spherical power (right)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	9	This is the spherical power of refractometry results for the right eye (0.00 indicates none)	2012-01-05T00:00:00	2012-01-06T00:00:00	129689	400995	72.5	1	1	1
5085	Spherical power (left)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	9	This is the spherical power of refractometry results for the left eye (0.00 indicates none)	2012-01-05T00:00:00	2012-01-06T00:00:00	129225	399004	72	1	1	1
5086	Cylindrical power (left)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	9	This is the cylindrical power of refractometry results for the left eye (0.00 indicates none)	2012-01-05T00:00:00	2012-01-06T00:00:00	129225	399004	71	1	1	1
5087	Cylindrical power (right)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	9	This is the cylindrical power of refractometry results for the right eye (0.00 indicates none)	2012-01-05T00:00:00	2012-01-06T00:00:00	129689	400995	71.5	1	1	1
5088	Astigmatism angle (right)	0	0	0	11	0	0	0	1	1	0	degrees	100014	0	2	0	1	0	9	This is the astigmatism axial angle of refractometry results for the right eye (blank value indicates no cylinder power)	2012-01-05T00:00:00	2012-01-06T00:00:00	129689	400889	70.5	1	1	1
5089	Astigmatism angle (left)	0	0	0	11	0	0	0	1	1	0	degrees	100014	0	2	0	1	0	9	This is the astigmatism axial angle of refractometry results for the left eye (blank value indicates no cylinder power)	2012-01-05T00:00:00	2012-01-06T00:00:00	129225	398905	70	1	1	1
5090	Refractometry result unreliable (left)	0	0	0	21	41	0	0	1	1	0		100014	1204	2	0	1	0	8	This data field is a string-encoded value meaning refractometry results are unreliable for the left eye	2012-01-05T00:00:00	2012-01-06T00:00:00	7317	16115	75	1	1	1
5091	Refractometry result unreliable (right)	0	0	0	21	41	0	0	1	1	0		100014	1204	2	0	1	0	6	This data field is a string-encoded value meaning refractometry results are unreliable for the right eye	2012-01-05T00:00:00	2012-01-06T00:00:00	10469	23307	75.5	1	1	1
5096	3mm weak meridian (left)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	5	This is the weak meridian of keratometry results taken at 3mm for the left eye	2012-01-05T00:00:00	2012-01-06T00:00:00	124509	376057	54	1	1	1
5097	6mm weak meridian (left)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	5	This is the weak meridian of keratometry results taken at 3mm for the left eye	2012-01-05T00:00:00	2012-01-06T00:00:00	107672	306942	69	1	1	1
5098	6mm weak meridian (right)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	5	This is the weak meridian of keratometry results taken at 6mm for the right eye	2012-01-05T00:00:00	2012-01-06T00:00:00	108801	301489	69.5	1	1	1
5099	3mm weak meridian (right)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	5	This is the weak meridian of keratometry results taken at 3mm for the right eye	2012-01-05T00:00:00	2012-01-06T00:00:00	124490	367891	54.5	1	1	1
5100	3mm weak meridian angle (right)	0	0	0	11	0	0	0	1	1	0	degrees	100014	0	2	0	1	0	5	This is the weak meridian angle of keratometry results taken at 3mm for the right eye (blank indicates no cylinder power)	2012-01-05T00:00:00	2012-01-06T00:00:00	124490	367891	53.5	1	1	1
5101	6mm weak meridian angle (right)	0	0	0	11	0	0	0	1	1	0	degrees	100014	0	2	0	1	0	5	This is the weak meridian angle of keratometry results taken at 6mm for the right eye (blank indicates no cylinder power)	2012-01-05T00:00:00	2012-01-06T00:00:00	108801	301489	68.5	1	1	1
5102	6mm weak meridian angle (left)	0	0	0	11	0	0	0	1	1	0	degrees	100014	0	2	0	1	0	5	This is the weak meridian angle of keratometry results taken at 6mm for the left eye (blank indicates no cylinder power)	2012-01-05T00:00:00	2012-01-06T00:00:00	107672	306942	68	1	1	1
5103	3mm weak meridian angle (left)	0	0	0	11	0	0	0	1	1	0	degrees	100014	0	2	0	1	0	5	This is the weak meridian angle of keratometry results taken at 3mm for the left eye (blank indicates no cylinder power)	2012-01-05T00:00:00	2012-01-06T00:00:00	124509	376057	53	1	1	1
5104	3mm strong meridian angle (left)	0	0	0	11	0	0	0	1	1	0	degrees	100014	0	2	0	1	0	5	This is the strong meridian angle of keratometry results taken at 3mm for the left eye (blank indicates no cylinder power)	2012-01-05T00:00:00	2012-01-06T00:00:00	124509	376057	51	1	1	1
5105	6mm strong meridian angle (left)	0	0	0	11	0	0	0	1	1	0	degrees	100014	0	2	0	1	0	5	This is the strong meridian angle of keratometry results taken at 6mm for the left eye (blank indicates no cylinder power)	2012-01-05T00:00:00	2012-01-06T00:00:00	107672	306942	66	1	1	1
5106	6mm strong meridian angle (right)	0	0	0	11	0	0	0	1	1	0	degrees	100014	0	2	0	1	0	5	This is the strong meridian angle of keratometry results taken at 6mm for the right eye (blank indicates no cylinder power)	2012-01-05T00:00:00	2012-01-06T00:00:00	108801	301489	66.5	1	1	1
5107	3mm strong meridian angle (right)	0	0	0	11	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the strong meridian angle of keratometry results taken at 3mm for the right eye (blank indicates no cylinder power)	2012-01-05T00:00:00	2012-01-06T00:00:00	124490	367891	51.5	1	1	1
5108	3mm asymmetry angle (right)	0	0	0	11	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the asymmetric angle of keratometry results taken at 3mm for the right eye (blank indicates no asymmetry)	2012-01-05T00:00:00	2012-01-06T00:00:00	121894	356591	40.5	1	1	1
5109	6mm asymmetry angle (right)	0	0	0	11	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the asymmetric angle of keratometry results taken at 6mm for the right eye (blank indicates no asymmetry)	2012-01-05T00:00:00	2012-01-06T00:00:00	67156	176164	57.5	1	1	1
5110	6mm asymmetry angle (left)	0	0	0	11	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the asymmetric angle of keratometry results taken at 6mm for the left eye (blank indicates no asymmetry)	2012-01-05T00:00:00	2012-01-06T00:00:00	66211	179700	57	1	1	1
5111	3mm asymmetry angle (left)	0	0	0	11	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the asymmetric angle of keratometry results taken at 3mm for the left eye (blank indicates no asymmetry)	2012-01-05T00:00:00	2012-01-06T00:00:00	121662	364448	40	1	1	1
5112	3mm cylindrical power angle (left)	0	0	0	11	0	0	0	1	1	0	degrees	100014	0	2	0	1	0	5	This is the cylindrical power angle of keratometry results taken at 3mm for the left eye (blank indicates none)	2012-01-05T00:00:00	2012-01-06T00:00:00	124490	375436	44	1	1	1
5113	6mm cylindrical power angle (left)	0	0	0	11	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the cylindrical power angle of keratometry results taken at 6mm for the left eye (blank indicates none)	2012-01-05T00:00:00	2012-01-06T00:00:00	107641	306400	61	1	1	1
5114	6mm cylindrical power angle (right)	0	0	0	11	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the cylindrical power angle of keratometry results taken at 6mm for the right eye (blank indicates none)	2012-01-05T00:00:00	2012-01-06T00:00:00	108773	300957	61.5	1	1	1
5115	3mm cylindrical power angle (right)	0	0	0	11	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the cylindrical power angle of keratometry results taken at 3mm for the right eye (blank indicates none)	2012-01-05T00:00:00	2012-01-06T00:00:00	124478	367242	44.5	1	1	1
5116	3mm cylindrical power (right)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	5	This is the cylindrical power of keratometry results taken at 3mm for the right eye (0 indicates none)	2012-01-05T00:00:00	2012-01-06T00:00:00	124490	367891	45.5	1	1	1
5117	6mm cylindrical power (right)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	5	This is the cylindrical power of keratometry results taken at 6mm for the right eye (0 indicates none)	2012-01-05T00:00:00	2012-01-06T00:00:00	108801	301489	62.5	1	1	1
5118	6mm cylindrical power (left)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	5	This is the cylindrical power of keratometry results taken at 6mm for the left eye (0 indicates none)	2012-01-05T00:00:00	2012-01-06T00:00:00	107672	306942	62	1	1	1
5119	3mm cylindrical power (left)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	5	This is the cylindrical power of keratometry results taken at 3mm for the left eye (0 indicates none)	2012-01-05T00:00:00	2012-01-06T00:00:00	124509	376057	45	1	1	1
5132	3mm strong meridian (right)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	5	This is the strong meridian angle of keratometry results taken at 3mm for the right eye	2012-01-05T00:00:00	2012-01-06T00:00:00	124490	367891	52.5	1	1	1
5133	6mm strong meridian (right)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	5	This is the strong meridian angle of keratometry results taken at 6mm for the right eye	2012-01-05T00:00:00	2012-01-06T00:00:00	108801	301489	67.5	1	1	1
5134	6mm strong meridian (left)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	5	[keratometry@6mm/left] strong meridian	2012-01-05T00:00:00	2012-01-06T00:00:00	107672	306942	67	1	1	1
5135	3mm strong meridian (left)	0	0	0	31	0	0	0	1	1	0	diopters	100014	0	2	0	1	0	5	This is the strong meridian angle of keratometry results taken at 3mm for the left eye	2012-01-05T00:00:00	2012-01-06T00:00:00	124509	376057	52	1	1	1
5136	3mm keratometry result unreliable (left)	0	0	0	21	41	0	0	1	1	0		100014	1205	2	0	1	0	5	This data field is a string-encoded value meaning result is unreliable for the keratometry result taken at 3mm for the left eye	2012-01-05T00:00:00	2012-01-06T00:00:00	5882	11170	47	1	1	1
5138	6mm keratometry result unreliable (left)	0	0	0	21	41	0	0	1	1	0		100014	1206	2	0	1	0	5	This data field is a string-encoded value meaning result is unreliable for the keratometry result taken at 6mm for the left eye	2012-01-05T00:00:00	2012-01-06T00:00:00	52793	126895	56	1	1	1
5139	6mm keratometry result unreliable (right)	0	0	0	21	41	0	0	1	1	0		100014	1206	2	0	1	0	5	This data field is a string-encoded value meaning result is unreliable for the keratometry result taken at 6mm for the right eye	2012-01-05T00:00:00	2012-01-06T00:00:00	54824	124655	56.5	1	1	1
5140	3mm keratometry result unreliable (right)	0	0	0	21	41	0	0	1	1	0		100014	1205	2	0	1	0	5	This data field is a string-encoded value meaning result is unreliable for the keratometry result taken at 3mm for the right eye	2012-01-05T00:00:00	2012-01-06T00:00:00	6236	10731	47.5	1	1	1
5141	3mm asymmetry index unreliable (left)	0	0	0	21	41	0	0	1	1	0		100014	1207	2	0	1	0	5	This data field means the result is unreliable for the asymmetry index of the keratometry result taken at 3mm for the left eye	2012-01-05T00:00:00	2012-01-06T00:00:00	11653	21511	41	1	1	1
5142	6mm asymmetry index unreliable (left)	0	0	0	21	41	0	0	1	1	0		100014	1208	2	0	1	0	5	This data field means the result is unreliable for the asymmetry index of the keratometry result taken at 6mm for the left eye	2012-01-05T00:00:00	2012-01-06T00:00:00	34466	72664	59	1	1	1
5143	6mm asymmetry index unreliable (right)	0	0	0	21	41	0	0	1	1	0		100014	1208	2	0	1	0	5	This data field means the result is unreliable for the asymmetry index of the keratometry result taken at 6mm for the right eye	2012-01-05T00:00:00	2012-01-06T00:00:00	35510	70637	59.5	1	1	1
5144	3mm asymmetry index unreliable (right)	0	0	0	21	41	0	0	1	1	0		100014	1207	2	0	1	0	5	This data field means the result is unreliable for the asymmetry index of the keratometry result taken at 3mm for the right eye	2012-01-05T00:00:00	2012-01-06T00:00:00	12007	20336	41.5	1	1	1
5145	3mm regularity index unreliable (right)	0	0	0	21	41	0	0	1	1	0		100014	1209	2	0	1	0	5	This data field means the result is unreliable for the regularity index of the keratometry result taken at 3mm for the right eye	2012-01-05T00:00:00	2012-01-06T00:00:00	12028	20370	49.5	1	1	1
5146	6mm regularity index unreliable (right)	0	0	0	21	41	0	0	1	1	0		100014	1209	2	0	1	0	5	This data field means the result is unreliable for the regularity index of the keratometry result taken at 6mm for the right eye	2012-01-05T00:00:00	2012-01-06T00:00:00	35607	70858	64.5	1	1	1
5147	6mm regularity index unreliable (left)	0	0	0	21	41	0	0	1	1	0		100014	1210	2	0	1	0	5	This data field means the result is unreliable for the regularity index of the keratometry result taken at 6mm for the left eye	2012-01-05T00:00:00	2012-01-06T00:00:00	34500	72750	64	1	1	1
5148	3mm regularity index unreliable (left)	0	0	0	21	41	0	0	1	1	0		100014	1210	2	0	1	0	5	This data field means the result is unreliable for the regularity index of the keratometry result taken at 3mm for the left eye	2012-01-05T00:00:00	2012-01-06T00:00:00	11664	21527	49	1	1	1
5149	3mm regularity index for irregular astigmatism level (left)	0	0	0	21	11	0	0	1	1	0		100014	33	2	0	1	0	5	This is the regularity index of the level of irregular astigmatism (1=A, 2=B, 3=C) as part of the keratometry result taken at 3mm for the left eye	2012-01-05T00:00:00	2012-01-06T00:00:00	121681	364589	50	1	1	1
5152	3mm asymmetry index for irregular astigmatism level (right)	0	0	0	21	11	0	0	1	1	0		100014	33	2	0	1	0	5	This is the asymmetry index of the level of irregular astigmatism (1=A, 2=B, 3=C) as part of the keratometry result taken at 3mm for the right eye	2012-01-05T00:00:00	2012-01-06T00:00:00	121894	356603	43.5	1	1	1
5155	3mm asymmetry index for irregular astigmatism level (left)	0	0	0	21	11	0	0	1	1	0		100014	33	2	0	1	0	5	This is the asymmetry index of the level of irregular astigmatism (1=A, 2=B, 3=C) as part of the keratometry result taken at 3mm for the left eye	2012-01-05T00:00:00	2012-01-06T00:00:00	121662	364470	43	1	1	1
5156	3mm asymmetry index (left)	0	0	0	31	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the asymmetry index as part of the keratometry result taken at 3mm for the left eye	2012-01-05T00:00:00	2012-01-06T00:00:00	121662	364470	42	1	1	1
5157	6mm asymmetry index (left)	0	0	0	31	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the asymmetry index as part of the keratometry result taken at 6mm for the left eye	2012-01-05T00:00:00	2012-01-06T00:00:00	66211	179700	58	1	1	1
5158	6mm asymmetry index (right)	0	0	0	31	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the asymmetry index as part of the keratometry result taken at 6mm for the right eye	2012-01-05T00:00:00	2012-01-06T00:00:00	67156	176164	58.5	1	1	1
5159	3mm asymmetry index (right)	0	0	0	31	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the asymmetry index as part of the keratometry result taken at 3mm for the right eye	2012-01-05T00:00:00	2012-01-06T00:00:00	121894	356603	42.5	1	1	1
5160	3mm regularity index (right)	0	0	0	31	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the regularity index as part of the keratometry result taken at 3mm for the right eye	2012-01-05T00:00:00	2012-01-06T00:00:00	121932	356863	48.5	1	1	1
5161	6mm regularity index (right)	0	0	0	31	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the regularity index as part of the keratometry result taken at 6mm for the right eye	2012-01-05T00:00:00	2012-01-06T00:00:00	67258	176658	63.5	1	1	1
5162	6mm regularity index (left)	0	0	0	31	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the regularity index as part of the keratometry result taken at 6mm for the left eye	2012-01-05T00:00:00	2012-01-06T00:00:00	66249	179904	63	1	1	1
5163	3mm regularity index (left)	0	0	0	31	0	0	0	1	1	0		100014	0	2	0	1	0	5	This is the regularity index as part of the keratometry result taken at 3mm for the left eye	2012-01-05T00:00:00	2012-01-06T00:00:00	121681	364589	48	1	1	1
5164	3mm regularity index for irregular astigmatism level (right)	0	0	0	21	11	0	0	1	1	0		100014	33	2	0	1	0	5	This is the regularity index of the level of irregular astigmatism (1=A, 2=B, 3=C) as part of the keratometry result taken at 3mm for the right eye	2012-01-05T00:00:00	2012-01-06T00:00:00	121932	356863	50.5	1	1	1
5181	Ever had eye surgery	0	0	0	21	11	0	0	1	0	0		100099	100271	2	0	3	0	0	Participant asked "Ever had eye surgery?"	2012-01-05T00:00:00	2023-03-07T00:00:00	135921	140700	1	1	1	1
5182	Both eyes present	0	0	0	21	11	0	0	1	0	0		100013	100273	2	0	3	0	0	Participant asked "Both eyes present?"	2012-01-05T00:00:00	2023-03-07T00:00:00	135921	140700	7	1	1	1
5183	Current eye infection	0	0	0	21	11	0	0	1	0	0		100013	7	2	0	3	0	0	Participant asked "Currently has infectious eye condition (e.g. viral conjunctivitis)?" as a screening question for the eye investigations.<p>Infectious participants were excluded from all investigations where there was a chance the problem could be passed on to subsequent users of the equipment - i.e. they were only eligible for the visual acuity test.	2012-01-05T00:00:00	2023-03-07T00:00:00	135914	140693	8	1	1	1
5185	Visual acuity measured (right)	0	0	0	21	11	0	0	1	0	0		100017	100274	2	0	1	0	0	Visual acuity (right) method	2012-01-05T00:00:00	2012-01-06T00:00:00	133592	137849	170	1	1	1
5186	Duration visual-acuity screen displayed (right)	0	0	0	11	0	0	2	1	0	0	seconds	100017	0	2	0	1	0	0	Duration at which visual-acuity (right eye) first shown	2012-01-05T00:00:00	2012-01-06T00:00:00	133592	137849	410	1	1	1
5187	Visual acuity measured (left)	0	0	0	21	11	0	0	1	0	0		100017	100274	2	0	1	0	0	Visual acuity (left) method	2012-01-05T00:00:00	2012-01-06T00:00:00	133587	137845	160	1	1	1
5188	Duration visual-acuity screen displayed (left)	0	0	0	11	0	0	2	1	0	0	seconds	100017	0	2	0	1	0	0	Duration at which visual-acuity (left eye) first shown,	2012-01-05T00:00:00	2012-01-06T00:00:00	133587	137845	400	1	1	1
5189	Refractometry method (right)	0	0	0	21	11	0	0	1	0	0		100014	100274	2	0	1	0	0	Indicates whether it was possible to perform refractometry on right eye.	2012-01-05T00:00:00	2012-01-06T00:00:00	132100	136265	39.5	1	1	1
5190	Duration at which refractometer first shown (right)	0	0	0	11	0	0	2	1	0	0	seconds	100014	0	2	0	1	0	0	Duration at which refractometer (right eye) first shown.	2012-01-05T00:00:00	2012-01-06T00:00:00	132100	136265	0.5	1	1	1
5191	Refractometry method (left)	0	0	0	21	11	0	0	1	0	0		100014	100274	2	0	1	0	0	Indicates whether it was possible to perform refractometry on left eye.	2012-01-05T00:00:00	2012-01-06T00:00:00	132094	136260	39	1	1	1
5193	Duration at which refractometer first shown (left)	0	0	0	11	0	0	2	1	0	0	seconds	100014	0	2	0	1	0	0	Duration at which refractometer (left eye) first shown.	2012-01-05T00:00:00	2012-01-06T00:00:00	132094	136260	0	1	1	1
5194	Intra-ocular pressure (IOP) method (right)	0	0	0	21	11	0	0	1	0	0		100015	100274	2	0	1	0	0	Indicates whether the Intra-ocular pressure measure was performed or not for right eye	2012-01-05T00:00:00	2012-01-06T00:00:00	132100	136265	9.5	1	1	1
5196	Intra-ocular pressure (IOP) method (left)	0	0	0	21	11	0	0	1	0	0		100015	100274	2	0	1	0	0	Indicates whether the Intra-ocular pressure measure was performed or not for left eye	2012-01-05T00:00:00	2012-01-06T00:00:00	132094	136260	9	1	1	1
5198	Eye measures duration	0	0	0	11	0	0	2	1	0	0	seconds	152	0	2	0	3	0	0	Time taken for ocular, seconds<p>	2012-01-05T00:00:00	2023-03-08T00:00:00	134827	139115	0	1	1	1
5199	logMAR, initial (right)	0	0	0	31	0	0	2	1	0	0		100017	0	2	0	1	0	0	Visual acuity (right), initial logMAR	2012-01-05T00:00:00	2012-01-06T00:00:00	133083	137304	330	1	1	1
5200	Final number of letters displayed (right)	0	0	0	11	0	0	2	1	0	0		100017	0	2	0	1	0	0	Visual acuity (right), final number of letters displayed	2012-01-05T00:00:00	2012-01-06T00:00:00	133083	137304	290	1	1	1
5201	logMAR, final (right)	0	0	0	31	0	0	0	1	0	0		100017	0	2	0	1	0	0	Visual acuity (right), final logMAR	2012-01-05T00:00:00	2012-01-06T00:00:00	131962	136151	370	1	1	1
5202	Number of rounds to result (right)	0	0	0	11	0	0	2	1	0	0		100017	0	2	0	1	0	0	Visual acuity (right), number of rounds required to get final result	2012-01-05T00:00:00	2012-01-06T00:00:00	133083	137304	310	1	1	1
5204	Distance of viewer to screen (right)	0	0	0	31	0	0	2	1	0	0	metres	100017	0	2	0	1	0	0	Distance of viewer to screen in visual acuity (right)	2012-01-05T00:00:00	2012-01-06T00:00:00	133083	137304	190	1	1	1
5205	Direct or mirror view (right)	0	0	0	21	11	0	2	1	0	0		100017	34	2	0	1	0	0	Is view plain or mirrored in visual-acuity (right)<p>0=plain, 1=mirrored	2012-01-05T00:00:00	2012-01-06T00:00:00	133083	137304	210	1	1	1
5206	logMAR, initial (left)	0	0	0	31	0	0	2	1	0	0		100017	0	2	0	1	0	0	Visual acuity (left), initial logMAR	2012-01-05T00:00:00	2012-01-06T00:00:00	133030	137247	320	1	1	1
5207	Final number of letters displayed (left)	0	0	0	11	0	0	2	1	0	0		100017	0	2	0	1	0	0	Visual acuity (left), final number of letters displayed	2012-01-05T00:00:00	2012-01-06T00:00:00	133030	137247	280	1	1	1
5208	logMAR, final (left)	0	0	0	31	0	0	0	1	0	0		100017	0	2	0	1	0	0	Visual acuity (left), final logMAR	2012-01-05T00:00:00	2012-01-06T00:00:00	131958	136144	360	1	1	1
5209	Number of rounds to result (left)	0	0	0	11	0	0	2	1	0	0		100017	0	2	0	1	0	0	Visual acuity (left), number of rounds required to get final result	2012-01-05T00:00:00	2012-01-06T00:00:00	133029	137246	300	1	1	1
5211	Distance of viewer to screen (left)	0	0	0	31	0	0	2	1	0	0	metres	100017	0	2	0	1	0	0	Distance of viewer to screen in visual acuity (left)	2012-01-05T00:00:00	2012-01-06T00:00:00	133030	137247	180	1	1	1
5212	Direct or mirror view (left)	0	0	0	21	11	0	2	1	0	0		100017	34	2	0	1	0	0	Is view plain or mirrored in visual-acuity (left)<p>0=plain, 1=mirror	2012-01-05T00:00:00	2012-01-06T00:00:00	133030	137247	200	1	1	1
5214	Auto-refractor device ID (right)	0	0	0	41	0	0	2	1	0	0		100014	0	2	0	1	0	0	Machine serial number of Tomey RC5000 Auto Refkeratometer device used for right eye	2012-01-05T00:00:00	2012-01-05T00:00:00	129689	133696	76.5	1	1	1
5215	Vertex distance (right)	0	0	0	31	0	0	0	1	0	0	mm	100014	0	2	0	1	0	0	Vertex distance for the refractometry measures for the right eye	2012-01-05T00:00:00	2012-01-05T00:00:00	129689	133696	73.5	1	1	1
5221	Index of best refractometry result (right)	0	0	0	11	0	0	0	1	0	0		100014	0	2	0	1	0	0	zero-based index of most representative refractometry result for right eye	2012-01-05T00:00:00	2012-01-06T00:00:00	129689	133696	74.5	1	1	1
5237	3mm index of best keratometry results (right)	0	0	0	11	0	0	0	1	0	0		100014	0	2	0	1	0	0	zero-based index of most representative of keratometry results at 3mm for right eye	2012-01-05T00:00:00	2012-01-06T00:00:00	124490	128322	46.5	1	1	1
5251	6mm index of best keratometry results (right)	0	0	0	11	0	0	0	1	0	0		100014	0	2	0	1	0	0	zero-based index of most representative of keratometry results at 6mm for right eye	2012-01-05T00:00:00	2012-01-06T00:00:00	108801	111835	55.5	1	1	1
5253	Intra-ocular pressure device ID (right)	0	0	0	41	0	0	2	1	0	0		100015	0	2	0	0	0	0	Serial number of Reichert Ocular Response Analyzer device for right eye	2012-01-05T00:00:00	2014-08-08T00:00:00	68168	68168	16.5	1	1	1
5254	Intra-ocular pressure, corneal-compensated (right)	0	0	0	31	0	0	0	1	0	0	mmHg	100015	0	2	0	1	0	0	corneal-compensated intraocular pressure for right eye	2012-01-05T00:00:00	2012-01-06T00:00:00	127773	131733	12.5	1	1	1
5255	Intra-ocular pressure, Goldmann-correlated (right)	0	0	0	31	0	0	0	1	0	0	mmHg	100015	0	2	0	1	0	0	goldmann-correlated intraocular pressure for right eye	2012-01-05T00:00:00	2012-01-06T00:00:00	127773	131733	13.5	1	1	1
5256	Corneal hysteresis (right)	0	0	0	31	0	0	0	1	0	0		100015	0	2	0	1	0	0	corneal hysteresis for right eye (a measure of viscuous damping in the cornea)	2012-01-05T00:00:00	2012-01-06T00:00:00	127773	131733	10.5	1	1	1
5257	Corneal resistance factor (right)	0	0	0	31	0	0	0	1	0	0		100015	0	2	0	1	0	0	corneal resistance factor for right eye	2012-01-05T00:00:00	2012-01-06T00:00:00	127773	131733	11.5	1	1	1
5258	Applanation curve (right)	0	0	0	101	0	0	0	1	0	0		100015	0	2	0	1	0	0	The 400 applanation values describe the reflected light signal from the cornea as the cornea travels inward and outward through the bi-directional applanation process. The sampling rate is 75microseconds/sample. One sample is a pressure and applanation pair. The pressure and applanation values are analog-to-digital values representing voltages levels such that 0=0.0volts and 1023=5.0 volts (approximately 4.89mV/count).	2012-01-05T00:00:00	2012-01-06T00:00:00	127773	131733	14.5	1	1	1
5259	Pressure curve (right)	0	0	0	101	0	0	0	1	0	0		100015	0	2	0	1	0	0	The 400 pressure values describe pressure extered as the cornea travels inward and outward through the bi-directional applanation process. The sampling rate is 75microseconds/sample. One sample is a pressure and applanation pair. The pressure and applanation values are analog-to-digital values representing voltages levels such that 0=0.0volts and 1023=5.0 volts (approximately 4.89mV/count).	2012-01-05T00:00:00	2012-01-06T00:00:00	127773	131733	15.5	1	1	1
5261	Intra-ocular pressure device ID (left)	0	0	0	41	0	0	2	1	0	0		100015	0	2	0	0	0	0	Serial number of Reichert Ocular Response Analyzer device for left eye.	2012-01-05T00:00:00	2014-08-08T00:00:00	68024	68024	16	1	1	1
5262	Intra-ocular pressure, corneal-compensated (left)	0	0	0	31	0	0	0	1	0	0	mmHg	100015	0	2	0	1	0	0	corneal-compensated intraocular pressure for left eye	2012-01-05T00:00:00	2012-01-06T00:00:00	127403	131346	12	1	1	1
5263	Intra-ocular pressure, Goldmann-correlated (left)	0	0	0	31	0	0	0	1	0	0	mmHg	100015	0	2	0	1	0	0	goldmann-correlated intraocular pressure for left eye	2012-01-05T00:00:00	2012-01-06T00:00:00	127403	131346	13	1	1	1
5264	Corneal hysteresis (left)	0	0	0	31	0	0	0	1	0	0		100015	0	2	0	1	0	0	corneal hysteresis for left eye (a measure of viscuous damping in the cornea)	2012-01-05T00:00:00	2012-01-06T00:00:00	127403	131346	10	1	1	1
5265	Corneal resistance factor (left)	0	0	0	31	0	0	0	1	0	0		100015	0	2	0	1	0	0	corneal resistance factor for left eye	2012-01-05T00:00:00	2012-01-06T00:00:00	127403	131346	11	1	1	1
5266	Applanation curve (left)	0	0	0	101	0	0	0	1	0	0		100015	0	2	0	1	0	0	The 400 applanation values describe the reflected light signal from the cornea as the cornea travels inward and outward through the bi-directional applanation process. The sampling rate is 75microseconds/sample. One sample is a pressure and applanation pair. The pressure and applanation values are analog-to-digital values representing voltages levels such that 0=0.0volts and 1023=5.0 volts (approximately 4.89mV/count).	2012-01-05T00:00:00	2012-01-06T00:00:00	127403	131346	14	1	1	1
5267	Pressure curve (left)	0	0	0	101	0	0	0	1	0	0		100015	0	2	0	1	0	0	The 400 pressure values describe pressure extered as the cornea travels inward and outward through the bi-directional applanation process. The sampling rate is 75microseconds/sample. One sample is a pressure and applanation pair. The pressure and applanation values are analog-to-digital values representing voltages levels such that 0=0.0volts and 1023=5.0 volts (approximately 4.89mV/count).	2012-01-05T00:00:00	2012-01-06T00:00:00	127403	131346	15	1	1	1
5268	Refractometer device ID	0	0	0	41	0	0	2	1	0	0		1306	0	2	0	3	0	0	Auto-refractometer gadget id	2012-01-05T00:00:00	2023-03-07T00:00:00	135921	140700	0	1	1	1
5270	Optical-coherence tomography device ID	0	0	0	41	0	0	2	1	0	0		100016	0	2	0	3	0	0	Optical-coherence tomography gadget ID	2012-01-05T00:00:00	2023-03-08T00:00:00	134827	139115	240	1	1	1
5273	Auto-refractor device ID (left)	0	0	0	41	0	0	2	1	0	0		100014	0	2	0	1	0	0	Machine serial number of Tomey RC5000 Auto Refkeratometer device used for left eye	2012-01-05T00:00:00	2012-01-05T00:00:00	129225	133198	76	1	1	1
5274	Vertex distance (left)	0	0	0	31	0	0	0	1	0	0	mm	100014	0	2	0	1	0	0	Vertex distance for the refractometry measures for the left eye	2012-01-05T00:00:00	2012-01-05T00:00:00	129225	133198	73	1	1	1
5276	Index of best refractometry result (left)	0	0	0	11	0	0	0	1	0	0		100014	0	2	0	1	0	0	zero-based index of most representative refractometry result for left eye	2012-01-05T00:00:00	2012-01-06T00:00:00	129225	133198	74	1	1	1
5292	3mm index of best keratometry results (left)	0	0	0	11	0	0	0	1	0	0		100014	0	2	0	1	0	0	zero-based index of most representative of keratometry results at 3mm for left eye	2012-01-05T00:00:00	2012-01-06T00:00:00	124509	128325	46	1	1	1
5306	6mm index of best keratometry results (left)	0	0	0	11	0	0	0	1	0	0		100014	0	2	0	1	0	0	zero-based index of most representative of keratometry results at 6mm for left eye	2012-01-05T00:00:00	2012-01-06T00:00:00	107672	110592	55	1	1	1
5324	Ever had cataract surgery	0	0	0	21	11	0	0	1	0	0		100099	100272	2	0	3	0	0	If the participant stated they had eye surgery (~F5181~), they were asked if they had cataract surgery. If yes, they were excluded from all eye tests.	2012-01-05T00:00:00	2023-03-07T00:00:00	10865	11124	2	1	1	1
5325	Ever had refractive laser eye surgery	0	0	0	21	11	0	0	1	0	0		100099	100272	2	0	3	0	0	If the participant stated they had eye surgery (~F5181~), they were asked if they had refractive laser eye surgery. If yes, they were excluded from all eye tests.	2012-01-05T00:00:00	2023-03-07T00:00:00	10865	11124	3	1	1	1
5326	Ever had surgery for glaucoma or high eye pressure	0	0	0	21	11	0	0	1	0	0		100099	100272	2	0	3	0	0	If the participant stated they had eye surgery (~F5181~), they were asked if they had surgery for glaucoma or high eye pressure. If yes, they were excluded from all eye tests.	2012-01-05T00:00:00	2023-03-07T00:00:00	10865	11124	4	1	1	1
5327	Ever had laser treatment for glaucoma or high eye pressure	0	0	0	21	11	0	0	1	0	0		100099	100272	2	0	3	0	0	If the participant stated they had eye surgery (~F5181~), they were asked if they had ever had laser treatment for glaucoma or high eye pressure. If yes, they were excluded from all eye tests.	2012-01-05T00:00:00	2023-03-07T00:00:00	10865	11124	5	1	1	1
5328	Ever had corneal graft surgery	0	0	0	21	11	0	0	1	0	0		100099	100272	2	0	3	0	0	If the participant stated they had eye surgery (~F5181~), they were asked if they had ever had corneal graft surgery. If yes, they were excluded from all eye tests.	2012-01-05T00:00:00	2023-03-07T00:00:00	10865	11124	6	1	1	1
5364	Average weekly intake of other alcoholic drinks	0	0	0	11	0	0	0	1	0	0	glasses	100051	100291	2	0	3	0	0	ACE touchscreen question "In an average WEEK, how many glasses of other alcoholic drinks (such as alcopops) would you drink?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li></ul><p>~F5364~ was collected from participants who indicated they drink alcohol more often than once or twice a week, as defined by their answers to ~F1558~	2012-01-05T00:00:00	2023-03-08T00:00:00	154504	180455	14	1	1	1
5375	Longest period of unenthusiasm / disinterest	0	0	0	11	0	0	0	1	0	0	weeks	100060	100291	2	0	3	0	0	ACE touchscreen question "How many weeks was the longest period when you were uninterested in things or unable to enjoy the things you used to?" <p>Question was introduced part way through fieldwork in April 2009. <p>The following checks were performed: <ul> <li>If answer < 1 then rejected</li> <li>If answer > 999 then rejected</li> </ul> <p>~F5375~ was collected from participants who indicated they have been uninterested in things or unable to enjoy things they used to for at least a week, as defined by their answers to ~F4631~	2012-01-05T00:00:00	2023-03-08T00:00:00	79603	87982	30	1	1	1
5386	Number of unenthusiastic/disinterested episodes	0	0	0	11	0	0	0	1	0	0	periods	100060	100291	2	0	3	0	0	ACE touchscreen question "How many periods have you had when you were uninterested in things or unable to enjoy the things you used to for at least a whole week?" <p>Question was introduced part way through fieldwork in April 2009. <p>The following checks were performed: <ul> <li>If answer < 1 then rejected</li> <li>If answer > 999 then rejected</li> </ul> <p>~F5386~ was collected from participants who indicated they have been uninterested in things or unable to enjoy things they used to for at least a week, as defined by their answers to ~F4631~	2012-01-05T00:00:00	2023-03-08T00:00:00	79600	87978	31	1	1	1
5408	Which eye(s) affected by amblyopia (lazy eye)	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	3	0	0	ACE touchscreen question "Which eye(s) are affected by amblyopia (lazy eye)?"<p>~F5408~ was collected from participants who indicated they wear prescribed  glasses or contact lenses to correct their amblyopia, as defined by their answers to ~F6147~	2012-01-05T00:00:00	2023-03-07T00:00:00	6360	7102	9	1	1	1
5419	Which eye(s) affected by injury or trauma resulting in loss of vision	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	3	0	0	ACE touchscreen question "Which eye(s) are affected by injury or trauma resulting in loss of vision?"<p>~F5419~ was collected from participants who indicated they have had an injury or trauma resulting in loss of vision, as defined by their answers to ~F6148~	2012-01-05T00:00:00	2023-03-07T00:00:00	1265	1336	16	1	1	1
5430	Age when loss of vision due to injury or trauma diagnosed	0	0	0	11	0	0	0	1	0	0	years	100041	100291	2	0	3	0	0	ACE touchscreen question "What was your age when injury or trauma resulting in loss of vision was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F5430~ was collected from participants who indicated they have had an injury or trauma resulting in loss of vision, as defined by their answers to ~F6148~	2012-01-05T00:00:00	2023-03-07T00:00:00	1265	1336	21	1	1	1
5441	Which eye(s) are affected by cataract	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	3	0	0	ACE touchscreen question "Which eye(s) are affected by a cataract?"<p>~F5441~ was collected from participants who indicated they have cataract, as defined by their answers to ~F6148~	2012-01-05T00:00:00	2023-03-08T00:00:00	16880	18254	17	1	1	1
5452	Leg pain when standing still or sitting	0	0	0	21	11	0	0	1	0	0		100038	100349	2	0	3	0	0	ACE touchscreen question "Does this pain ever begin when you are standing still or sitting?"<p>~F5452~ was collected from participants who indicated that they get a pain in either leg on walking, as defined by their answers to ~F4728~	2012-01-05T00:00:00	2023-03-08T00:00:00	54525	57766	2	1	1	1
5463	Leg pain in calf/calves	0	0	0	21	11	0	0	1	0	0		100038	100349	2	0	3	0	0	ACE touchscreen question "Do you get this pain in your calf (calves)?"<p>~F5463~ was collected from participants who indicated that they get a pain in either leg on walking, as defined by their answers to ~F4728~	2012-01-05T00:00:00	2023-03-08T00:00:00	54525	57766	3	1	1	1
5474	Leg pain when walking uphill or hurrying	0	0	0	21	11	0	0	1	0	0		100038	100349	2	0	3	0	0	ACE touchscreen question "Do you get pain when you walk uphill or hurry?"<p>~F5474~ was collected from participants who indicated that they get a pain in either leg on walking, as defined by their answers to ~F4728~	2012-01-05T00:00:00	2023-03-08T00:00:00	54525	57766	4	1	1	1
5485	Leg pain when walking normally	0	0	0	21	11	0	0	1	0	0		100038	100349	2	0	3	0	0	ACE touchscreen question "Do you get pain when you walk at an ordinary pace on the level?"<p>~F5485~ was collected from participants who indicated that they get a pain in either leg on walking, as defined by their answers to ~F4728~	2012-01-05T00:00:00	2023-03-08T00:00:00	54525	57766	5	1	1	1
5496	Leg pain when walking ever disappears while walking	0	0	0	21	11	0	0	1	0	0		100038	100349	2	0	3	0	0	ACE touchscreen question "Does the pain you get while walking ever disappear when you continue walking?"<p>~F5496~ was collected from participants who indicated that they get a pain in either leg on walking, as defined by their answers to ~F4728~ and they get pain walking at an ordinary pace on the level, as defined by their answers to ~F4728~	2012-01-05T00:00:00	2023-03-08T00:00:00	29880	31051	6	1	1	1
5507	Leg pain on walking : action taken	0	0	0	21	11	0	0	1	0	0		100038	100549	2	0	3	0	0	ACE touchscreen question "What do you do if you get pain when you are walking?"<p>~F5507~ was collected from participants who indicated that they get a pain in either leg on walking, as defined by their answers to ~F4728~	2012-01-05T00:00:00	2023-03-08T00:00:00	54525	57766	7	1	1	1
5518	Leg pain on walking : effect of standing still	0	0	0	21	11	0	0	1	0	0		100038	100550	2	0	3	0	0	ACE touchscreen question "What happens to the pain you get while walking if you stand still?"<p>~F5518~ was collected from participants who indicated that they get a pain in either leg on walking, as defined by their answers to ~F4728~	2012-01-05T00:00:00	2023-03-08T00:00:00	54525	57766	8	1	1	1
5529	Surgery on leg arteries (other than for varicose veins)	0	0	0	21	11	0	0	1	0	0		100038	100349	2	0	3	0	0	ACE touchscreen question "Have you ever had surgery on the arteries of your legs (other than for varicose veins)?"<p>~F5529~ was collected from participants who indicated that they get a pain in either leg on walking, as defined by their answers to ~F4728~	2012-01-05T00:00:00	2023-03-08T00:00:00	54525	57766	9	1	1	1
5540	Surgery/amputation of toe or leg	0	0	0	21	11	0	0	1	0	0		100038	100552	2	0	3	0	0	ACE touchscreen question "Have you ever had surgery to remove any of the following?"<p>~F5540~ was collected from participants who indicated that they get a pain in either leg on walking, as defined by their answers to ~F4728~	2012-01-05T00:00:00	2023-03-08T00:00:00	54525	57766	10	1	1	1
5556	FI9 : concept interpolation	0	0	0	21	11	0	0	1	0	0		100027	100651	2	0	3	0	0	ACE touchscreen question "Age is to Years as Height is to?". Part 9 of Fluid Intelligence test.<p>Offered choice from Long, Deep, Top, Metres or Tall.	2012-01-05T00:00:00	2023-03-08T00:00:00	68023	76480	10	1	1	1
5610	Which eye(s) affected by presbyopia	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	3	0	0	ACE touchscreen question "Which eye(s) are affected by presbyopia?"<p>~F5610~ was collected from participants who indicated they wear glasses or contact lenses to correct their presbyopia, as defined by their answers to ~F6147~	2012-01-05T00:00:00	2023-03-08T00:00:00	72121	80677	6	1	1	1
5663	Length of longest manic/irritable episode	0	0	0	21	11	0	0	1	0	0		100060	100499	2	0	3	0	0	ACE touchscreen question "What is the longest time period that these "high" or "irritable" periods have lasted?" <p>Question was introduced part way through fieldwork in April 2009. <p>~F5663~ was collected from participants who indicated they have had a period of at least two days when they were more high, excited or hyper than their normal self, or so irritable they shouted or started fights or arguments, as defined by their answers to ~F4642~ and ~F4653~	2012-01-05T00:00:00	2023-03-08T00:00:00	45175	48112	35	1	1	1
5674	Severity of manic/irritable episodes	0	0	0	21	11	0	0	1	0	0		100060	100500	2	0	3	0	0	ACE touchscreen question "How much of a problem have these "high" or "irritable" periods caused you?" <p>Question was introduced part way through fieldwork in April 2009. <p>~F5674~ was collected from participants who indicated they have had a period of at least two days when they were more high, excited or hyper than their normal self, or so irritable they shouted or started fights or arguments, as defined by their answers to ~F4642~ and ~F4642~	2012-01-05T00:00:00	2023-03-08T00:00:00	45175	48112	36	1	1	1
5699	FI10 : arithmetic sequence recognition	0	0	0	21	11	0	0	1	0	0		100027	100652	2	0	3	0	0	ACE touchscreen question "150 ... 137 ... 125 ... 114 ... 104 ... What comes next?". Part 10 of Fluid Intelligence test.<p>Offered choice from 92, 93, 94, 95 or 96.	2012-01-05T00:00:00	2023-03-08T00:00:00	47594	53005	11	1	1	1
5779	FI11 : antonym	0	0	0	21	11	0	0	1	0	0		100027	100653	2	0	3	0	0	ACE touchscreen question "Relaxed means the opposite of?". Part 11 of Fluid Intelligence test.<p>Offered choice from Calm, Anxious, Cool, Worried, Tense.	2012-01-05T00:00:00	2023-03-08T00:00:00	25217	27724	12	1	1	1
5790	FI12 : square sequence recognition	0	0	0	21	11	0	0	1	0	0		100027	100654	2	0	3	0	0	ACE touchscreen question "100 ... 99 ... 95 ... 86 ... 70 ... What comes next?". Part 12 of Fluid Intelligence test.<p>Offered choice from 45, 46, 47, 48, 49, 50.	2012-01-05T00:00:00	2023-03-08T00:00:00	17817	19434	13	1	1	1
5832	Which eye(s) affected by hypermetropia (long sight)	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	3	0	0	ACE touchscreen question "Which eye(s) are affected by hypermetropia (long sight)?"<p>~F5832~ was collected from participants who indicated they wear glasses or contact lenses to correct their hypermetropia, as defined by their answers to ~F6147~	2012-01-05T00:00:00	2023-03-08T00:00:00	37546	40540	5	1	1	1
5843	Which eye(s) affected by myopia (short sight)	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	3	0	0	ACE touchscreen question "Which eye(s) are affected by myopia (short sight)?"<p>~F5843~ was collected from participants who indicated they wear glasses or contact lenses to correct their myopia, as defined by their answers to ~F6147~	2012-01-05T00:00:00	2023-03-08T00:00:00	67493	78216	4	1	1	1
5855	Which eye(s) affected by astigmatism	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	3	0	0	ACE touchscreen question "Which eye(s) are affected by astigmatism?"<p>~F5855~ was collected from participants who indicated they wear glasses or contact lenses to correct their astigmatism, as defined by their answers to ~F6147~	2012-01-05T00:00:00	2023-03-07T00:00:00	22696	25974	7	1	1	1
5866	FI13 : subset inclusion logic	0	0	0	21	11	0	0	1	0	0		100027	100655	2	0	3	0	0	ACE touchscreen question "If some flinks are plinks and some plinks are stinks then some flinks are definitely stinks?". Part 13 of Fluid Intelligence test.<p>Offered choice from True, False, Neither-true-nor-false.	2012-01-05T00:00:00	2023-03-08T00:00:00	6491	6856	14	1	1	1
5877	Which eye(s) affected by other eye condition	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	3	0	0	ACE touchscreen question "Which eye(s) are affected by your other eye condition?"<p>~F5877~ was collected from participants who indicated they wear glasses or contact lenses to correct their other type of eye condition (not myopia, hypermetropia, presbyopia, astigmatism, strabismus or amblyopia), as defined by their answers to ~F6147~	2012-01-05T00:00:00	2023-03-07T00:00:00	3025	3155	10	1	1	1
5890	Which eye(s) affected by diabetes-related eye disease	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	3	0	0	ACE touchscreen question "Which eye(s) are affected by diabetes related eye disease?"<p>~F5890~ was collected from participants who indicated they have diabetes related eye disease as defined by their answers to ~F6148~	2012-01-05T00:00:00	2023-02-24T00:00:00	2195	2302	14	1	1	1
5901	Age when diabetes-related eye disease diagnosed	0	0	0	11	0	0	0	1	0	0	years	100041	100291	2	0	3	0	0	ACE touchscreen question "What was your age when diabetes related eye disease was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F5901~ was collected from participants who indicated they have diabetes related eye disease, as defined by their answers to ~F6148~	2012-01-05T00:00:00	2023-02-24T00:00:00	2501	2617	19	1	1	1
5912	Which eye(s) affected by macular degeneration	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	3	0	0	ACE touchscreen question "Which eye(s) are affected by macular degeneration?"<p>~F5912~ was collected from participants who indicated they have macular degeneration, as defined by their answers to ~F6148~	2012-01-05T00:00:00	2023-03-07T00:00:00	3102	3339	18	1	1	1
5923	Age macular degeneration diagnosed	0	0	0	11	0	0	0	1	0	0	years	100041	100291	2	0	3	0	0	ACE touchscreen question "What was your age when macular degeneration was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F5923~ was collected from participants who indicated they have macular degeneration, as defined by their answers to ~F6148~	2012-01-05T00:00:00	2023-03-07T00:00:00	3102	3339	23	1	1	1
5934	Which eye(s) affected by other serious eye condition	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	3	0	0	ACE touchscreen question "Which eye(s) are affected by the other serious eye condition?"<p>~F5934~ was collected from participants who indicated they have other serious eye condition (i.e. not diabetes, glaucoma, trauma, cataract or macular degeneration), as defined by their answers to ~F6148~	2012-01-05T00:00:00	2023-03-07T00:00:00	4322	4602	11	1	1	1
5945	Age other serious eye condition diagnosed	0	0	0	11	0	0	0	1	0	0	years	100041	100291	2	0	3	0	0	ACE touchscreen question "What was your age when the other serious eye condition was first diagnosed?"<p>The following checks were performed:<ul><li>If answer < 0 then rejected</li><li>If answer > Participants age then rejected</li><li>If answer < 40 then participant asked to confirm</li><li>If answer > 69 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure, please provide an estimate or select Do not know.<br></i></td></tr></table><p>~F5945~ was collected from participants who indicated they have another serious eye condition (i.e. not diabetes, glaucoma, trauma, cataract or macular degeneration), as defined by their answers to ~F6148~	2012-01-05T00:00:00	2023-03-07T00:00:00	4322	4602	24	1	1	1
5959	Previously smoked cigarettes on most/all days	0	0	0	21	11	0	0	1	0	0		100058	100352	2	0	3	0	0	ACE touchscreen question "Did you previously smoke cigarettes on most or all days?"<p>~F5959~ was collected from participants who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~ and those who currently smoke cigars and pipes, as defined by their answers to ~F1239~	2012-01-05T00:00:00	2023-02-06T00:00:00	2680	2806	3010	1	1	1
5983	ECG, heart rate	0	0	0	11	0	0	0	1	1	0		100012	0	2	0	1	0	111	ECG, heart rate<p>The Bike Test consists of many phases. A phase is generally divided into number of stages. At various points during the test, called trends, readings about heart rate, workload etc are recorded. This field contains heart rate (beats per minute) at the time of the trend entry	2012-01-05T00:00:00	2012-01-05T00:00:00	94821	5726766	20	1	1	1
5984	ECG, load	0	0	0	11	0	0	0	1	1	0	Watts	100012	0	2	0	1	0	113	ECG, load<p>The Bike Test consists of many phases. A phase is generally divided into number of stages. At various points during the test, called trends, readings about heart rate, workload etc are recorded. This field contains load in Watts at the time of the trend entry.	2012-01-05T00:00:00	2012-01-05T00:00:00	94920	5743993	19	1	1	1
5985	Bicycle speed	0	0	0	11	0	0	2	1	1	0	revolutions/minute	100012	0	2	0	1	0	113	ECG, revolutions per minute<p>The Bike Test consists of many phases. A phase is generally divided into number of stages. At various points during the test, called trends, readings about heart rate, workload etc are recorded. This field contains revolutions per minute of the treadmill at the time of the trend entry.	2012-01-05T00:00:00	2012-01-05T00:00:00	94920	5743993	10	1	1	1
5986	ECG, phase time	0	0	0	11	0	0	0	1	1	0	seconds	100012	0	2	0	1	0	113	ECG, phase time<p>The Bike Test consists of many phases. A phase is generally divided into number of stages. At various points during the test, called trends, readings about heart rate, workload etc are recorded. This field contains the time spent within the phase of the trend entry.	2012-01-05T00:00:00	2012-01-05T00:00:00	95116	5757165	14	1	1	1
5987	ECG, trend phase name	0	0	0	41	0	0	0	1	1	0		100012	0	2	0	1	0	113	ECG, phase name<p>The Bike Test consists of many phases. A phase is generally divided into number of stages. At various points during the test, called trends, readings about heart rate, workload etc are recorded. This field contains the name of the phase when trend entry is taken.	2012-01-05T00:00:00	2012-01-05T00:00:00	95110	5757159	12	1	1	1
5988	ECG, stage name	0	0	0	41	0	0	0	1	1	0		100012	0	2	0	1	0	113	ECG, stage name<p>The Bike Test consists of many phases. A phase is generally divided into number of stages. At various points during the test, called trends, readings about heart rate, workload etc are recorded alongwith the stage name. This field contains the name of the stage when trend entry is taken.	2012-01-05T00:00:00	2012-01-05T00:00:00	95110	5757159	16	1	1	1
5990	ECG, stage duration	0	0	0	11	0	0	0	1	0	0		100012	0	2	0	0	0	0	ECG, stage duration<p>The Bike Test consists of many phases. A phase is generally divided into number of stages. This field contains stage duration within a phase in seconds.	2012-01-05T00:00:00	2000-01-01T00:00:00	-1	-1	18	1	1	1
5991	ECG, phase name	0	0	0	41	0	0	0	1	1	0		100012	0	2	0	1	0	2	ECG, phase name<p>Bike test generally consists of many phases. This field contains phase name.	2012-01-05T00:00:00	2012-01-05T00:00:00	95116	294012	11	1	1	1
5992	ECG, phase duration	0	0	0	11	0	0	0	1	1	0		100012	0	2	0	1	0	2	ECG, phase duration<p>The exercise test consists of many phases. This field contains the duration of a phase in seconds in an exercise test.	2012-01-05T00:00:00	2012-01-05T00:00:00	95116	294012	13	1	1	1
5993	ECG, number of stages in a phase	0	0	0	11	0	0	0	1	1	0		100012	0	2	0	1	0	2	ECG, number of stages in a phase<p>The Bike Test consists many phases. A phase is generally divided into number of stages. This field shows total number of stages within a phase.	2012-01-05T00:00:00	2012-01-05T00:00:00	95116	294012	17	1	1	1
6014	Doctor restricts physical activity due to heart condition	0	0	0	21	11	0	0	1	0	0		100012	100267	2	0	1	0	0	Exercise safety question 1, asked prior to fitness test<p>"Has a doctor ever said that you have a heart condition and that you should only do physical activity recommended by a doctor"	2012-01-05T00:00:00	2012-01-06T00:00:00	96522	99493	1	1	1	1
6015	Chest pain felt during physical activity	0	0	0	21	11	0	0	1	0	0		100012	100267	2	0	1	0	0	Exercise safety question 2, asked prior to fitness test<p>""Do you feel pain in your chest when you do physical activity"	2012-01-05T00:00:00	2012-01-06T00:00:00	96522	99493	2	1	1	1
6016	Chest pain felt outside physical activity	0	0	0	21	11	0	0	1	0	0		100012	100267	2	0	1	0	0	Exercise safety question 3, asked prior to fitness test<p>"In the past month, have you had chest pain when you were NOT doing physical activity"	2012-01-05T00:00:00	2012-01-06T00:00:00	96522	99493	3	1	1	1
6017	Able to walk or cycle unaided for 10 minutes	0	0	0	21	11	0	0	1	0	0		100012	100267	2	0	1	0	0	Exercise safety question 4, asked prior to fitness test<p>"Are you able to walk or cycle unaided for 10 minutes"	2012-01-05T00:00:00	2012-01-06T00:00:00	96522	99493	4	1	1	1
6019	ECG/bike method for fitness test	0	0	0	21	11	0	0	1	0	0		100012	100256	2	0	1	0	0	This data field describes whether the ECG was performed during the bike test, at rest, or not performed.	2012-01-05T00:00:00	2012-01-06T00:00:00	96182	99141	6	1	1	1
6020	Completion status of test	0	0	0	21	11	0	0	1	0	0		100012	100257	2	0	1	0	0	Completion status of test<p>1, "Fully completed" / 31, "Participant wanted to stop early" / 32, "Participant reported chest-pain and/or other discomfort" / 33, "Heart rate reached safety level" / 34, "Incomplete - other reason"	2012-01-05T00:00:00	2012-01-06T00:00:00	95128	98017	26	1	1	1
6022	ECG during exercise duration	0	0	0	11	0	0	2	1	0	0	seconds	152	0	2	0	1	0	0	Time taken for exercise, seconds<p>	2012-01-05T00:00:00	2012-01-06T00:00:00	96524	99495	0	1	1	1
6023	Description of exercise protocol recommended	0	0	0	41	0	0	2	1	0	0		100012	0	2	0	1	0	0	Description of exercise protocol recommended	2012-01-05T00:00:00	2012-01-06T00:00:00	95126	98014	5	1	1	1
6024	Program category	0	0	0	21	11	0	0	1	0	0		100012	35	2	0	1	0	0	Participants are divided into 5 categories based on their risk profile (as detailed in the explanatory documentation). <p> <ul> <li>Minimal risk, cycle at 50% level of the absolute maximum work load;</li><li>Small risk, cycle at 35% level of the absolute maximum work load;</li><li>Medium risk, cycle at constant level; </li><li>High risk, take measurement at rest only;</li><li>ECG not to be performed.</li> </ul>	2012-01-05T00:00:00	2012-01-06T00:00:00	96524	99495	7	1	1	1
6025	Fitness test results, including ECG data	0	0	0	41	0	20	0	1	0	0		100012	0	2	0	1	0	0	Readings taken during the exercise bike test are recorded in an XML file at the end of the test. This is the name of that file (which will be required by any researchers wishing to analyse the data).	2012-01-05T00:00:00	2013-03-25T00:00:00	95026	97902	24	2	1	2
6032	Maximum workload during fitness test	0	0	0	11	0	0	0	1	0	0	Watts	100012	0	2	0	1	0	0	Maximum workload attained during the fitness test<p>The Bike Test consists of three phases, a Pre-Test phase, where a resting ECG is recorded for some time. An Activity phase, where the participant cycles for a set period of time with increasing cycling workload, and finally a Recovery phase, where the participant has stopped pedalling and an ECG is recorded.	2012-01-05T00:00:00	2012-01-06T00:00:00	95115	98003	22	1	1	1
6033	Maximum heart rate during fitness test	0	0	0	11	0	0	0	1	0	0	bpm	100012	0	2	0	1	0	0	This is the maximum heart rate recorded during bike exercise test.<p>The Bike Test consists of three phases: <ul><li>A Pre-Test phase, where a resting ECG is recorded for some time;</li> <li>an Activity phase, where the participant cycles for a set period of time with increasing cycling workload;</li> <li>and finally a Recovery phase, where the participant has stopped pedalling and an ECG is recorded.</li> </ul> Heart rate is recorded in all stages and this field gives the maximum of those values.	2012-01-05T00:00:00	2012-01-06T00:00:00	95095	97981	21	1	1	1
6034	Target heart rate achieved	0	0	0	21	11	0	0	1	0	0		100012	12	2	0	1	0	0	This field specifies whether the target heart rate was achieved during the fitness test.<p>Target HR formula used for biobank participants is = (220 - age ) * 0.75.	2012-01-05T00:00:00	2012-01-06T00:00:00	95116	98004	23	1	1	1
6038	Number of trend entries	0	0	0	11	0	0	0	1	0	0		100012	0	2	0	1	0	0	Number of trend entries during exercise bike test<p>The Bike Test consists of three phases, a Pre- Test phase, where a resting ECG is recorded for some time. An Activity phase, where the participant cycles for a set period of time with increasing cycling workload, and finally a Recovery phase, where the participant has stopped pedalling and an ECG is recorded. At various points, called trends, during the test readings about heart rate, workload etc is recorded. This is the total number of trend entries.	2012-01-05T00:00:00	2012-01-05T00:00:00	95116	98004	8	1	1	1
6039	Duration of fitness test	0	0	0	11	0	0	0	1	0	0	seconds	100012	0	2	0	1	0	0	Length of the exercise test.<p>Difference between ObservationEndDateTime and ObservationDateTime	2012-01-05T00:00:00	2012-01-06T00:00:00	95116	98004	25	1	1	1
6070	OCT measured (right)	0	0	0	21	11	0	0	1	0	0		100016	100274	2	0	3	0	0	Was optical-coherence tomography performed on the right eye	2012-01-05T00:00:00	2023-03-08T00:00:00	96869	99786	170	1	1	1
6071	Duration at which OCT screen shown (right)	0	0	0	11	0	0	2	1	0	0	seconds	100016	0	2	0	3	0	0	Duration at which OCT screen (right eye) first shown, seconds	2012-01-05T00:00:00	2023-03-08T00:00:00	96869	99786	230	1	1	1
6072	OCT measured (left)	0	0	0	21	11	0	0	1	0	0		100016	100274	2	0	3	0	0	Was optical-coherence tomography performed on the left eye	2012-01-05T00:00:00	2023-03-08T00:00:00	96874	99792	160	1	1	1
6073	Duration at which OCT screen shown (left)	0	0	0	11	0	0	2	1	0	0	seconds	100016	0	2	0	3	0	0	Duration at which OCT screen (left eye) first shown	2012-01-05T00:00:00	2023-03-08T00:00:00	96874	99792	220	1	1	1
6074	Glasses worn/required (right)	0	0	0	21	11	0	0	1	0	0		100017	36	2	0	1	0	0	Are glasses worn/required during visual acuity test of right eye.	2012-01-05T00:00:00	2012-01-06T00:00:00	96802	99744	150	1	1	1
6075	Glasses worn/required (left)	0	0	0	21	11	0	0	1	0	0		100017	36	2	0	1	0	0	Are glasses worn/required during visual acuity test of left eye.	2012-01-05T00:00:00	2012-01-06T00:00:00	96777	99716	140	1	1	1
6119	Which eye(s) affected by glaucoma	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	3	0	0	ACE touchscreen question "Which eye(s) are affected by glaucoma?"<p>~F6119~ was collected from participants who indicated they have glaucoma as defined by their answers to ~F6148~	2012-01-05T00:00:00	2023-03-08T00:00:00	4203	4619	15	1	1	1
6138	Qualifications	0	0	0	22	11	0	0	1	1	0		100063	100305	2	0	3	0	5	ACE touchscreen question "Which of the following qualifications do you have? (You can select more than one)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>A levels/AS levels and equivalent includes the Higher School Certificate<br><br>O levels/GCSEs and equivalent includes the School Certificate.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	498800	1084707	1	1	1	1
6139	Gas or solid-fuel cooking/heating	0	0	0	22	11	0	0	1	1	0		100066	100288	2	0	3	0	2	ACE touchscreen question "Do you have any of the following in your home? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Solid fuel refers to wood or coal.<br>Regular use is when you use this for most days of the<br>week in the winter time.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	498803	793917	3	1	1	1
6140	Heating type(s) in home	0	0	0	22	11	0	0	1	1	0		100066	100289	2	0	3	0	3	ACE touchscreen question "How is your home mainly heated? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Solid fuel refers to wood or coal.<br>Regular use is when you use this for most days of the<br>week in the winter time.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	224820	265467	5	1	1	1
6141	How are people in household related to participant	0	0	0	22	11	0	0	1	1	0		100066	100292	2	0	3	0	4	ACE touchscreen question "How are the other people who live with you related to you? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Please select all the options that apply.<br>Answer this question considering all the people who you counted in the<br>household in response to the previous question.<br></i></td></tr></table><p>~F6141~ was collected from all participants except those who indicated they were living in a sheltered accommodation or in a care home, as defined by their answers to ~F670~ and living alone, as defined by their answers to ~F670~	2012-01-05T00:00:00	2023-03-08T00:00:00	409937	661177	8	1	1	1
6142	Current employment status	0	0	0	22	11	0	0	1	1	0		100064	100295	2	0	3	0	6	ACE touchscreen question "Which of the following describes your current situation? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If more than one situation applies, select all that are appropriate.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501521	646992	1	1	1	1
6143	Transport type for commuting to job workplace	0	0	0	22	11	0	0	1	1	0		100064	100299	2	0	3	0	3	ACE touchscreen question "What types of transport do you use to get to and from work? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you have more than one 'current job' then answer this question for your MAIN<br>job only.<br>If you use more than one form of transport then select all that apply<br><br></i></td></tr></table><p>~F6143~ was collected from participants who indicated they were in paid employment or self-employed, as defined by their answers to ~F6142~ except those who indicated they always work from home, as defined by their answers to ~F6142~	2012-01-05T00:00:00	2023-03-07T00:00:00	267997	368281	5	1	1	1
6144	Never eat eggs, dairy, wheat, sugar	0	0	0	22	11	0	0	1	1	0		100052	100385	2	0	3	0	3	ACE touchscreen question "Which of the following do you NEVER eat? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code 5 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul>	2012-01-05T00:00:00	2023-03-08T00:00:00	498773	609976	13	1	1	1
6145	Illness, injury, bereavement, stress in last 2 years	0	0	0	22	11	0	0	1	1	0		100060	100502	2	0	3	0	5	ACE touchscreen question "In the last 2 years have you experienced any of the following? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul>	2012-01-05T00:00:00	2023-03-08T00:00:00	498757	670584	37	1	1	1
6146	Attendance/disability/mobility allowance	0	0	0	22	11	0	0	1	1	0		100067	100510	2	0	3	0	2	ACE touchscreen question "Do you receive any of the following? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Only select a response if you personally receive the benefit.<br>Do not include if your spouse or someone in your household<br>receives one of these benefits.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501473	607600	1	1	1	1
6147	Reason for glasses/contact lenses	0	0	0	22	11	0	0	1	1	0		100041	100514	2	0	3	0	5	ACE touchscreen question "Why were you prescribed glasses/contacts? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>~F6147~ was collected from participants who indicated they wear glasses or contact lenses to correct their vision, as defined by their answers to ~F2207~	2012-01-05T00:00:00	2023-03-08T00:00:00	163813	242881	3	1	1	1
6148	Eye problems/disorders	0	0	0	22	11	0	0	1	1	0		100041	100523	2	0	3	0	4	ACE touchscreen question "Has a doctor told you that you have any of the following problems with your eyes? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are not sure if you have had any of the listed<br>eye problems enter Do not know.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	226355	273365	13	1	1	1
6149	Mouth/teeth dental problems	0	0	0	22	11	0	0	1	1	0		100046	100538	2	0	3	0	5	ACE touchscreen question "Do you have any of the following? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Answer this question thinking about the past year.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	498751	658408	1	1	1	1
6150	Vascular/heart problems diagnosed by doctor	0	0	0	22	11	0	0	1	1	0		100044	100605	2	0	2	0	3	ACE touchscreen question "Has a doctor ever told you that you have had any of the following conditions? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you do not know if you have had any of the listed<br>conditions, enter None of the above. You can check this<br>with an interviewer later in the visit.<br></i></td></tr></table>	2012-01-05T00:00:00	2022-03-09T00:00:00	501446	556591	1	1	1	1
6151	Fractured bone site(s)	0	0	0	22	11	0	0	1	1	0		100044	100622	2	0	3	0	6	ACE touchscreen question "Which bones did you fracture/break? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>~F6151~ was collected from participants who indicated they have had fractured/broken bones in the last 5 years, as defined by their answers to ~F2463~	2012-01-05T00:00:00	2023-03-08T00:00:00	53572	61706	19	1	1	1
6152	Blood clot, DVT, bronchitis, emphysema, asthma, rhinitis, eczema, allergy diagnosed by doctor	0	0	0	22	11	0	0	1	1	0		100044	100610	2	0	3	0	4	ACE touchscreen question "Has a doctor ever told you that you have had any of the following conditions? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you do not know if you have had any of the listed<br>conditions, enter None of the above. You can check this<br>with an interviewer later in the visit.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501460	633567	6	1	1	1
6153	Medication for cholesterol, blood pressure, diabetes, or take exogenous hormones	0	0	0	22	11	0	0	1	1	2		100045	100626	2	0	3	0	3	ACE touchscreen question "Do you regularly take any of the following medications? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are not sure if you take any of the types of medications,<br>enter Do not know. You will be asked to provide all of the<br>medications that you take later in the visit.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	271342	349710	2	1	1	1
6154	Medication for pain relief, constipation, heartburn	0	0	0	22	11	0	0	1	1	0		100045	100628	2	0	3	0	5	ACE touchscreen question "Do you regularly take any of the following? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Some over the counter medicines are known by other names.  Please enter<br>the corresponding name if you take any of the following REGULARLY<br>(that is, most days of the week for the last 4 weeks):<br><br>Aspirin: Alka Rapid Crystals, Alka-Seltzer XS, Anadin Extra, Anadin<br>  Original, Askit powders, Aspro Clear, Codis 500, Disprin, Disprin Extra<br><br>Ibuprofen: Anadin Ultra, Anadin Ibuprofen, Cuprofen Plus, Nurofen,<br>  Solpaflex, Ibuleve<br><br>Paracetamol: Anadin Extra, Hedex Extra, Panadol, Paracodol, Paramol,<br>  Solpadeine, Syndol, Veganin, Feminax, Midrid, Migraleve<br><br>Codeine: Codis 500, Cuprofen Plus, Nurofen Plus, Panadol Ultra,<br>  Paracodol, Paramol, Solpadeine Max, Sopadeine Plus, Solpafelx, Syndol,<br>  Veganin, Feminax, Migraleve<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	498738	689324	4	1	1	1
6155	Vitamin and mineral supplements	0	0	0	22	11	0	0	1	1	0		100045	100629	2	0	3	0	6	ACE touchscreen question "Do you regularly take any of the following? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul>	2012-01-05T00:00:00	2023-03-08T00:00:00	498738	676841	7	1	1	1
6156	Manic/hyper symptoms	0	0	0	22	11	0	0	1	1	0		100060	100498	2	0	3	0	3	ACE touchscreen question "Please try to remember a period when you were in a "high" or "irritable" state and select which of the following apply." <p>Question was introduced part way through fieldwork in April 2009. <p>The following checks were performed: <ul> <li>If code 15 was selected, then no additional choices were allowed.</li> <li>If code -7 was selected, then no additional choices were allowed.</li> </ul> <p>~F6156~ was collected from participants who indicated they have had a period of at least two days when they were more high, excited or hyper than their normal self, or so irritable they shouted or started fights or arguments, as defined by their answers to ~F4642~ and ~F4642~	2012-01-05T00:00:00	2023-03-08T00:00:00	45175	56540	34	1	1	1
6157	Why stopped smoking	0	0	0	22	11	0	0	1	1	0		100058	100361	2	0	3	0	3	ACE touchscreen question "Why did you stop smoking? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>~F6157~ was collected from participants who indicated that in the past they smoked tobacco on most or all days, as defined by their answers to ~F1249~ and that during the time they smoked they stopped for more than 6 months, as defined by their answers to ~F1249~	2012-01-05T00:00:00	2023-03-08T00:00:00	123404	177731	3170	1	1	1
6158	Why reduced smoking	0	0	0	22	11	0	0	1	1	0		100058	100361	2	0	3	0	3	ACE touchscreen question "Why did you reduce your smoking? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>~F6158~ was collected from participants who indicated they currently smoke tobacco on most or all days, as defined by their answers to ~F1239~ and those who smoke less nowadays than 10 years ago, as defined by their answers to ~F1239~	2012-01-05T00:00:00	2023-03-07T00:00:00	17246	23139	3100	1	1	1
6159	Pain type(s) experienced in last month	0	0	0	22	11	0	0	1	1	0		100048	100553	2	0	3	0	6	ACE touchscreen question "In the last month have you experienced any of the following that interfered with your usual activites? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code 8 was selected, then no additional choices were allowed.</li><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul>	2012-01-05T00:00:00	2023-03-08T00:00:00	501469	897910	1	1	1	1
6160	Leisure/social activities	0	0	0	22	11	0	0	1	1	0		100061	100328	2	0	3	0	4	ACE touchscreen question "Which of the following do you attend once a week or more often? (You can select more than one)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If this varies, please think about activities in the last year.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	501509	783496	3	1	1	1
6162	Types of transport used (excluding work)	0	0	0	22	11	0	0	1	1	0		100054	100299	2	0	3	0	3	ACE touchscreen question "In the last 4 weeks, which forms of transport have you used most often to get about?  (Not including any journeys to and from work; you can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Remember not to include journeys to and from work.<br></i></td></tr></table><p>~F6162~ was collected from all participants except those who indicated they were unable to walk, as defined by their answers to ~F864~	2012-01-05T00:00:00	2023-03-08T00:00:00	496921	972868	0	1	1	1
6164	Types of physical activity in last 4 weeks	0	0	0	22	11	0	0	1	1	0		100054	100316	2	0	3	0	4	ACE touchscreen question "In the last 4 weeks did you spend any time doing the following? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Strenuous sports include sports that make you sweat or breathe hard.<br>Heavy DIY includes chopping wood, home or car maintenance, lifting<br>heavy objects or using heavy tools.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	497174	1352167	0	1	1	1
6177	Medication for cholesterol, blood pressure or diabetes	0	0	0	22	11	0	0	1	1	1		100045	100625	2	0	3	0	2	ACE touchscreen question "Do you regularly take any of the following medications? (you can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are not sure if you take any of the types of medications,<br>enter Do not know. You will be asked to provide all of the<br>medications that you take later in the visit.<br></i></td></tr></table>	2012-01-05T00:00:00	2023-03-08T00:00:00	227384	316233	1	1	1	1
6179	Mineral and other dietary supplements	0	0	0	22	11	0	0	1	1	0		100045	100630	2	0	3	0	5	ACE touchscreen question "Do you regularly take any of the following? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul>	2012-01-05T00:00:00	2023-03-08T00:00:00	498737	726225	9	1	1	1
6183	Number of cigarettes previously smoked daily (current cigar/pipe smokers)	0	0	0	11	0	0	0	1	0	0		100058	100353	2	0	3	0	0	ACE touchscreen question "About how many cigarettes did you smoke on average each day?"<p>The following checks were performed:<ul><li>If answer < 1 then rejected</li><li>If answer > 150 then rejected</li><li>If answer > 100 then participant asked to confirm</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Count the total number of cigarettes (including both hand-rolled<br>and manufactured cigarettes if both were smoked)<br>For hand-rolled cigarettes:<br> - One ounce of tobacco makes about 30 cigarettes<br> - One gram of tobacco makes about 1 cigarette<br></i></td></tr></table><p>~F6183~ was collected from participants who indicated they currently smoke cigars and pipes, as defined by their answers to ~F3446~ and previously smoked cigarettes on most or all days, as defined by their answers to ~F3446~	2012-01-05T00:00:00	2023-02-06T00:00:00	1820	1892	3040	1	1	1
6194	Age stopped smoking cigarettes (current cigar/pipe or previous cigarette smoker)	0	0	0	11	0	0	0	1	0	0	years	100058	100291	2	0	3	0	0	ACE touchscreen question "How old were you when you last smoked cigarettes on most days?"<p>The following checks were performed:<ul><li>If answer < 5 then rejected</li><li>If answer < 12 then participant asked to confirm</li></ul><p>~F6194~ was collected from participants who indicated they currently smoke cigars and pipes, as defined by their answers to ~F3446~ and previously smoked cigarettes on most or all days, as defined by their answers to ~F3446~	2012-01-05T00:00:00	2023-02-06T00:00:00	1820	1892	3030	1	1	1
6205	Which eye(s) affected by strabismus (squint)	0	0	0	21	11	0	0	1	0	0		100041	100515	2	0	3	0	0	ACE touchscreen question "Which eye(s) are affected by strabismus (squint)?"<p>~F6205~ was collected from participants who indicated they wear glasses or contact lenses to correct their strabismus, as defined by their answers to ~F6147~	2012-01-05T00:00:00	2023-03-07T00:00:00	3291	3691	8	1	1	1
6218	Impedance of whole body, manual entry	0	0	0	11	0	0	2	1	0	0	ohm	100009	0	2	0	2	0	0	In the event the automatic connection between the Assessment Centre computers and the Tanita Impedance measurement device failed, the operator was able to enter the measured electrical impedance values manually.	2012-10-09T00:00:00	2020-03-05T00:00:00	31	31	430	1	1	1
6219	Impedance of leg, manual entry (right)	0	0	0	11	0	0	2	1	0	0	ohm	100009	0	2	0	2	0	0	In the event the automatic connection between the Assessment Centre computers and the Tanita Impedance measurement device failed, the operator was able to enter the measured electrical impedance values manually.	2012-10-09T00:00:00	2020-03-05T00:00:00	31	31	470	1	1	1
6220	Impedance of leg, manual entry (left)	0	0	0	11	0	0	2	1	0	0	ohm	100009	0	2	0	2	0	0	In the event the automatic connection between the Assessment Centre computers and the Tanita Impedance measurement device failed, the operator was able to enter the measured electrical impedance values manually.	2012-10-09T00:00:00	2020-03-05T00:00:00	31	31	460	1	1	1
6221	Impedance of arm, manual entry (right)	0	0	0	11	0	0	2	1	0	0	ohm	100009	0	2	0	2	0	0	In the event the automatic connection between the Assessment Centre computers and the Tanita Impedance measurement device failed, the operator was able to enter the measured electrical impedance values manually.	2012-10-09T00:00:00	2020-03-05T00:00:00	31	31	450	1	1	1
6222	Impedance of arm, manual entry (left)	0	0	0	11	0	0	2	1	0	0	ohm	100009	0	2	0	2	0	0	In the event the automatic connection between the Assessment Centre computers and the Tanita Impedance measurement device failed, the operator was able to enter the measured electrical impedance values manually.	2012-10-09T00:00:00	2020-03-05T00:00:00	31	31	440	1	1	1
6312	Value entered	0	2	0	21	11	0	0	1	1	0		503	6312	2	2	3	0	17	This field contains the values the participant entered when shown each puzzle.	2017-06-15T00:00:00	2022-12-24T00:00:00	42543	610542	120	1	1	1
6313	Duration to entering selection	0	2	0	11	0	0	0	1	1	0	deciseconds	503	0	2	2	3	0	17	This is the time interval between the participant being able to make a selection and them actually doing so.	2017-06-15T00:00:00	2022-12-24T00:00:00	42543	610542	130	1	1	1
6314	Word/picture group used for each round	0	2	0	22	11	0	2	1	1	0		504	6314	2	2	3	0	29	The challenge for each round consisted of a single word and four pictures. This field is an index identifying the word and its associated picture set, as listed in ~R6314~ and ~R1702~ respectively.	2017-06-09T00:00:00	2023-03-08T00:00:00	49368	1326704	140	1	1	1
6315	Picture selected for each round	0	2	0	22	11	0	0	1	1	0		504	6315	2	2	3	0	29	Which of the four pictures was chosen by the participant, for each round. <p> See the indexed picture groups in ~R1702~ for the images themselves, and ~R6314~ for where each picture was displayed on the screen.	2017-06-09T00:00:00	2023-03-08T00:00:00	49420	1327968	150	1	1	1
6317	Duration of selection in each round	0	2	0	11	0	0	0	1	1	0	milliseconds	504	0	2	2	3	0	29	This is the time that a participant looked at each word/picture group before selecting a picture.	2017-06-09T00:00:00	2023-03-08T00:00:00	49368	1326704	160	1	1	1
6325	Duration to entering symbol choice	0	2	0	11	0	0	0	1	1	0	deciseconds	502	0	2	2	3	0	119	This is the interval between either the answer grid becoming avaiolable (first press) or between two successive key presses.	2021-07-13T00:00:00	2023-03-08T00:00:00	49369	1725620	0	1	1	1
6332	Item selected for each puzzle	0	2	0	22	11	0	0	1	1	0		501	6332	2	2	3	0	14	This indicates the item selected for each puzzle as illustrated in ~R15~. <br>For puzzles which had 6 options the codes 0-5 correspond to the following layout: <p> 0 1 2 <br> 3 4 5 <p> For puzzles which had 8 options the codes 0-7 correspond to the following layout: <p> 0 1 2 3 <br> 4 5 6 7 <p> If a participant answered all 15 puzzles correctly the sequence would be: 3,2,5,0,3,5,0,5,3,0,7,1,4,2,6	2017-06-08T00:00:00	2023-03-08T00:00:00	49238	699746	120	1	1	1
6333	Duration spent answering each puzzle	0	2	0	11	0	0	0	1	1	0	deciseconds	501	0	2	2	3	0	14	This is an array of values, one for each puzzle answered, detailing how long the participant spent looking at a puzzle before selecting their answer. <p> Some values are zero indicating a response time of less than 0.1 seconds, which is below the realistic minimum time for mentally processing the picture and deciding which image to touch. Such values are assumed to be due to a participant hovering a finger over the screen and accidentally making contact with it when the puzzle first appears.	2017-06-08T00:00:00	2023-03-08T00:00:00	49238	699746	130	1	1	1
6334	Screen layout	0	2	0	41	0	0	0	1	1	0		100030	0	2	2	3	1	3	This field describes the screen layout of the pairs test displayed to the participant (the layouts were generated randomly so differ between participants). It is a sequence of values like <p> [a,b]=c <p> where a,b are the co-ordinates on the screen of a card and c is an index describing the face pattern. <p> The layout was only captured from late 2016 onwards so is not available for most of the pairs result sets.	2017-06-07T00:00:00	2023-03-08T00:00:00	49752	140285	140	1	1	1
6348	Duration to complete numeric path (trail #1)	0	2	0	11	0	0	0	1	0	0	deciseconds	505	1990	2	2	3	0	0	Duration to complete numeric path (trail #1)	2017-06-14T00:00:00	2023-03-08T00:00:00	49752	53887	100	1	1	1
6349	Total errors traversing numeric path (trail #1)	0	2	0	11	0	0	0	1	0	0	error-count	505	0	2	2	3	0	0	Total errors made while traversing numeric path. A zero value here does not indicate that the participant completed the trail without problems as it is possible they abandoned during the process prior to making any mistakes - see ~F6348~ to determine whether they actually completed the trail.	2017-06-14T00:00:00	2023-03-08T00:00:00	49752	53887	120	1	1	1
6350	Duration to complete alphanumeric path (trail #2)	0	2	0	11	0	0	0	1	0	0	deciseconds	505	1990	2	2	3	0	0	Duration to complete alphanumeric path (trail #2)	2017-06-14T00:00:00	2023-03-08T00:00:00	49752	53887	110	1	1	1
6351	Total errors traversing alphanumeric path (trail #2)	0	2	0	11	0	0	0	1	0	0	error-count	505	0	2	2	3	0	0	Total errors traversing alphanumeric path (trail #2). A zero value here does not indicate that the participant completed the trail without problems as it is possible they abandoned during the process prior to making any mistakes - see ~F6350~ to determine whether they actually completed the trail.	2017-06-14T00:00:00	2023-03-08T00:00:00	49752	53887	130	1	1	1
6362	First code array presented	0	2	0	21	11	0	2	1	0	0		502	500	2	2	3	0	0	The tests were described by an outer array of 32 symbol-digit arrays each containing the digits 0-7. To present some element of unpredictability between participants, each run of the program chose a random starting point in the outer array and presented tests from that point onwards (looping back to the origin if required). The outer array was zero-indexed, so that a value of 0 in this field means that the first symbol-digit array was used for the Coding array. <p> To illustrate, suppose a participant was allocated the value 5 for their start array. Then round 1 would use Array 4 [values 4,5,1,3,7,2,6,0] for the Code and Array 5 [3,5,2,0,4,6,1,7] for the Test. Round 2 would still use Array 4 for the Code but Array 6 [6,3,7,2,4,5,0,1] for the test etc. <p>The test arrays are listed below, and also in ~C500~ with the symbol dictionary shown in ~R111~. <p> 0) 5,0,3,6,1,2,4,7 <br> 1) 1,3,5,7,4,6,0,2 <br> 2) 4,5,6,7,3,0,2,1 <br> 3) 1,4,6,7,2,3,0,5 <br> 4) 4,5,1,3,7,2,6,0 <br> 5) 3,5,2,0,4,6,1,7 <br> 6) 6,3,7,2,4,5,0,1 <br> 7) 1,4,5,6,0,7,2,3 <br> 8) 3,4,2,5,6,0,7,1 <br> 9) 2,5,3,0,7,1,6,4 <br> 10) 3,6,4,1,0,5,7,2 <br> 11) 5,3,2,0,4,1,7,6 <br> 12) 2,3,4,1,7,5,0,6 <br> 13) 4,3,1,5,2,0,6,7 <br> 14) 3,5,0,1,4,7,2,6 <br> 15) 4,2,1,0,6,7,5,3 <br> 16) 0,2,3,7,1,4,6,5 <br> 17) 7,1,2,4,0,6,5,3 <br> 18) 5,1,7,3,2,4,0,6 <br> 19) 7,6,4,5,0,2,3,1 <br> 20) 2,6,1,4,5,7,0,3 <br> 21) 4,0,6,1,3,7,5,2 <br> 22) 5,6,0,7,3,2,1,4 <br> 23) 6,5,1,3,0,4,7,2 <br> 24) 4,1,7,2,5,6,3,0 <br> 25) 5,2,0,6,7,4,1,3 <br> 26) 3,0,5,6,7,2,4,1 <br> 27) 3,2,5,4,7,0,6,1 <br> 28) 0,6,7,5,1,2,3,4 <br> 29) 4,3,1,0,6,5,2,7 <br> 30) 5,4,6,7,1,0,2,3 <br> 31) 0,4,7,2,3,1,5,6 <p>The first round (attempts 0-7) used a constant fixed pattern [2,4,6,1,3,5,7,0] for the Code Array and [7,1,5,4,6,0,3,2] for the test Array for all participants.	2017-06-14T00:00:00	2023-03-08T00:00:00	50592	54759	120	1	1	1
6364	Vocabulary level	0	2	0	31	0	0	0	1	0	0		504	0	2	2	3	0	0	This is the estimate of the participant's vocabulary level, at the end of the test according to the original scoring criteria. It ranges between -11 (most basic) and 11 (most complex) . ~F6365~ gives the Standard Error associated with this estimated value. <p> Note: the original scoring criteria was obtained from a presentation of the words in both audio and visual forms, to persons in the USA. As such the difficulty levels of the words are not directly comparable to the UK Biobank implementation in which words were presented in visual form only to persons in the UK. <p> It is strongly recomended that ~F26302~ should be used in preference to this measure.	2017-06-09T00:00:00	2023-03-08T00:00:00	49151	53171	120	1	1	1
6365	Uncertainty in vocabulary level	0	2	0	31	0	0	0	1	0	0		504	0	2	2	3	0	0	This is the Standard Error (corresponding to the MLE calculation) in the final estimate of the participant's vocabulary level as given in ~F6364~.	2017-06-09T00:00:00	2023-03-08T00:00:00	49151	53171	130	1	1	1
6373	Number of puzzles correctly solved	0	2	0	11	0	0	0	1	0	0	correct-answers	501	0	2	2	3	0	0	This is the number of puzzles for which the participant gave the correct solution. It should be used in conjunction with ~F6374~ which describes the number of puzzles attempted. The range is 0-15.	2017-06-08T00:00:00	2023-03-08T00:00:00	49242	53317	100	1	1	1
6374	Number of puzzles viewed	0	2	0	11	0	0	0	1	0	0	attempts	501	0	2	2	3	0	0	This is the number of puzzles which the participant viewed irrespective of whether they supplied any answer (though the were unable to progress to the next puzzle without supplying an answer). The range is 0-15. <p> If the participant did not attempt all 15 puzzles then this value is likely to be greater than the number of entries for ~F6332~ and ~F6333~ as it will usually include a last puzzle which was viewed by the participant but for which an answer was not selected within the overall time limit.	2017-06-08T00:00:00	2023-03-08T00:00:00	49242	53317	110	1	1	1
6383	Number of puzzles attempted	0	2	0	11	0	0	0	1	0	0	attempts	503	0	2	2	3	0	0	This is the number of puzzles which the participant viewed irrespective of whether they supplied any answer (though the were unable to progress to the next puzzle without supplying an answer) <p> If the participant did not attempt all 18 puzzles then this value is likely to be greater than the number of entries for ~F6312~ and ~F6313~ as it will usually include a last puzzle which was viewed by the participant but for which an answer was not selected within the overall time limit.	2017-06-15T00:00:00	2022-12-24T00:00:00	43360	47423	110	1	1	1
6448	Word associated with "huge"	0	2	0	21	11	0	0	1	0	0		506	6448	2	2	3	0	0	The correct word associated with "huge" was "trousers".	2017-06-07T00:00:00	2023-03-08T00:00:00	49752	53887	110	1	1	1
6459	Word associated with "happy"	0	2	0	21	11	0	0	1	0	0		506	6459	2	2	3	0	0	The correct word associated with "happy" was "dog".	2017-06-07T00:00:00	2023-03-08T00:00:00	49752	53887	120	1	1	1
6470	Word associated with "tattered"	0	2	0	21	11	0	0	1	0	0		506	6470	2	2	3	0	0	The correct word associated with "tattered" was "dress".	2017-06-07T00:00:00	2023-03-08T00:00:00	49752	53887	130	1	1	1
6481	Word associated with "old"	0	2	0	21	11	0	0	1	0	0		506	6481	2	2	3	0	0	The correct word associated with "old" was "house".	2017-06-07T00:00:00	2023-03-08T00:00:00	49752	53887	140	1	1	1
6492	Word associated with "long"	0	2	0	21	11	0	0	1	0	0		506	6492	2	2	3	0	0	The correct word associated with "long" was "curtains".	2017-06-07T00:00:00	2023-03-08T00:00:00	49752	53887	150	1	1	1
6503	Word associated with "red"	0	2	0	21	11	0	0	1	0	0		506	6503	2	2	3	0	0	The correct word associated with "red" was "car".	2017-06-07T00:00:00	2023-03-08T00:00:00	49752	53887	160	1	1	1
6514	Word associated with "sulking"	0	2	0	21	11	0	0	1	0	0		506	6514	2	2	3	0	0	The correct word associated with "sulking" was "elephant".	2017-06-07T00:00:00	2023-03-08T00:00:00	49752	53887	170	1	1	1
6525	Word associated with "pretty"	0	2	0	21	11	0	0	1	0	0		506	6525	2	2	3	0	0	The correct word associated with "pretty" was "dish".	2017-06-07T00:00:00	2023-03-08T00:00:00	49752	53887	180	1	1	1
6536	Word associated with "tiny"	0	2	0	21	11	0	0	1	0	0		506	6536	2	2	3	0	0	The correct word associated with "tiny" was "cat".	2017-06-07T00:00:00	2023-03-08T00:00:00	49752	53887	190	1	1	1
6547	Word associated with "new"	0	2	0	21	11	0	0	1	0	0		506	6547	2	2	3	0	0	The correct word associated with "new" was "plant".	2017-06-07T00:00:00	2023-03-08T00:00:00	49752	53887	200	1	1	1
6671	Number of antibiotics taken in last 3 months	0	3	0	11	0	0	0	1	0	0		100075	0	2	2	3	0	0	Number of antibiotics taken	2018-11-09T00:00:00	2023-03-08T00:00:00	46380	50575	130	1	1	1
6770	Errors before selecting correct item in numeric path (trail #1)	0	2	0	11	0	0	3	1	1	0	error-count	505	0	2	2	3	0	23	Errors before selecting a particular correct item in numeric path (trail #1). Only values greater than zero are recorded. <p>It is possible that the value recorded here is less than the sum of the values in ~F6349~ since this field does not count mistakes made on the latest circle when the trail timed-out before it was correctly selected.	2017-06-14T00:00:00	2023-03-08T00:00:00	16191	20556	160	1	1	1
6771	Errors before selecting correct item in alphanumeric path (trail #2)	0	2	0	11	0	0	3	1	1	0	error-count	505	0	2	2	3	0	23	Errors before selecting a particular correct item in alphanumeric path (trail #2). Only values greater than zero are recorded. <p>It is possible that the value recorded here is less than the sum of the values in ~F6351~ since this field does not count mistakes made on the latest circle when the trail timed-out before it was correctly selected.	2017-06-14T00:00:00	2023-03-08T00:00:00	22710	41564	170	1	1	1
6772	Interval between previous point and current one in numeric path (trail #1)	0	2	0	11	0	0	3	1	1	0	deciseconds	505	0	2	2	3	0	24	Interval between previous point and current one in numeric path (trail #1). Note that these intervals are unlikely to sum to ~F6348~ due to rounding truncation. <p> If a participant did not complete the trail (as indicated by a zero in ~F6348~) then the number of results for this field will be smaller than the length (25) of the trail.	2017-06-14T00:00:00	2023-03-08T00:00:00	49309	1331578	140	1	1	1
6773	Interval between previous point and current one in alphanumeric path (trail #2)	0	2	0	11	0	0	3	1	1	0	milliseconds	505	0	2	2	3	0	24	Interval between previous point and current one in alphanumeric path (trail #2). Note that these intervals are unlikely to sum to ~F6350~ due to rounding truncation. <p> If a participant did not complete the trail (as indicated by a zero in ~F6350~) then the number of results for this field will be smaller than the length (25) of the trail.	2017-06-14T00:00:00	2023-03-08T00:00:00	49126	1308653	150	1	1	1
7381	Spherical power (left)	0	2	0	31	0	0	0	1	1	0	dioptre	1419	0	2	2	3	1	10	Spherical power (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	886	8859	810	1	1	1
7382	Spherical power (right)	0	2	0	31	0	0	0	1	1	0	dioptre	1419	0	2	2	3	1	10	Spherical power (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	885	8844	820	1	1	1
7383	Cylindrical power (right)	0	2	0	31	0	0	0	1	1	0	dioptre	1419	0	2	2	3	1	10	Cylindrical power (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	885	8844	250	1	1	1
7384	Cylindrical power (left)	0	2	0	31	0	0	0	1	1	0	dioptre	1419	0	2	2	3	1	10	Cylindrical power (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	886	8859	240	1	1	1
7385	Cylinder axis (left)	0	2	0	11	0	0	0	1	1	0	degrees	1419	0	2	2	3	1	10	Cylinder axis (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	886	8859	220	1	1	1
7386	Cylinder axis (right)	0	2	0	11	0	0	0	1	1	0	degrees	1419	0	2	2	3	1	10	Cylinder axis (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	885	8844	230	1	1	1
7387	Confidence Index (right)	0	2	0	21	41	0	2	1	1	0		1419	1402	2	2	3	1	10	Possible values: 5 to 9 or E for error (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	885	8844	760	1	1	1
7388	Confidence Index (left)	0	2	0	21	41	0	2	1	1	0		1419	1402	2	2	3	1	10	Possible values: 5 to 9 or E for error (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	886	8859	750	1	1	1
7389	Spherical equivalent value (left)	0	2	0	31	0	0	0	1	1	0	dioptre	1419	0	2	2	3	1	10	Spherical equivalent value (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	886	8859	790	1	1	1
7390	Spherical equivalent value (right)	0	2	0	31	0	0	0	1	1	0	dioptre	1419	0	2	2	3	1	10	Spherical equivalent value (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	885	8844	800	1	1	1
7391	Keratometry R1 radius (right)	0	2	0	31	0	0	0	1	1	0	mm	1419	0	2	2	3	1	10	Keratometry R1 radius (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	878	8736	300	1	1	1
7392	Keratometry R2 radius (right)	0	2	0	31	0	0	0	1	1	0	mm	1419	0	2	2	3	1	10	Keratometry R2 radius (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	878	8736	360	1	1	1
7393	Keratometry R1 radius (left)	0	2	0	31	0	0	0	1	1	0	mm	1419	0	2	2	3	1	10	Keratometry R1 radius (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	881	8777	290	1	1	1
7394	Keratometry R2 radius (left)	0	2	0	31	0	0	0	1	1	0	mm	1419	0	2	2	3	1	10	Keratometry R2 radius (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	881	8777	350	1	1	1
7395	Keratometry average radius (left)	0	2	0	31	0	0	0	1	1	0	mm	1419	0	2	2	3	1	10	Keratometry average radius (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	881	8777	390	1	1	1
7396	Keratometry average radius (right)	0	2	0	31	0	0	0	1	1	0	mm	1419	0	2	2	3	1	10	Keratometry average radius (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	878	8736	400	1	1	1
7397	Keratometry R1 spherical value (right)	0	2	0	31	0	0	0	1	1	0	dioptre	1419	0	2	2	3	1	10	Keratometry R1 spherical value (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	878	8736	320	1	1	1
7398	Keratometry R2 spherical value (right)	0	2	0	31	0	0	0	1	1	0	dioptre	1419	0	2	2	3	1	10	Keratometry R2 spherical value (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	878	8736	380	1	1	1
7399	Keratometry R1 spherical value (left)	0	2	0	31	0	0	0	1	1	0	dioptre	1419	0	2	2	3	1	10	Keratometry R1 spherical value (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	881	8777	310	1	1	1
7400	Keratometry R2 spherical value (left)	0	2	0	31	0	0	0	1	1	0	dioptre	1419	0	2	2	3	1	10	Keratometry R2 spherical value (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	881	8777	370	1	1	1
7401	Keratometry average spherical value (left)	0	2	0	31	0	0	0	1	1	0	dioptre	1419	0	2	2	3	1	10	Keratometry average spherical value (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	881	8777	410	1	1	1
7402	Keratometry average spherical value (right)	0	2	0	31	0	0	0	1	1	0	dioptre	1419	0	2	2	3	1	10	Keratometry average spherical value (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	878	8736	420	1	1	1
7403	Keratometry spherical value (right)	0	2	0	31	0	0	0	1	1	0	dioptre	1419	0	2	2	3	1	10	Keratometry spherical value (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	878	8736	660	1	1	1
7404	Keratometry spherical value (left)	0	2	0	31	0	0	0	1	1	0	dioptre	1419	0	2	2	3	1	10	Keratometry spherical value (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	881	8777	650	1	1	1
7405	Keratometry cylinder axis (left)	0	2	0	11	0	0	0	1	1	0	degrees	1419	0	2	2	3	1	10	Keratometry cylinder axis (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	881	8777	430	1	1	1
7406	Keratometry cylinder axis (right)	0	2	0	11	0	0	0	1	1	0	degrees	1419	0	2	2	3	1	10	Keratometry cylinder axis (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	878	8736	440	1	1	1
7407	Keratometry R1 cylinder axis (right)	0	2	0	11	0	0	0	1	1	0	degrees	1419	0	2	2	3	1	10	Keratometry R1 cylinder axis (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	878	8736	280	1	1	1
7408	Keratometry R2 cylinder axis (right)	0	2	0	11	0	0	0	1	1	0	degrees	1419	0	2	2	3	1	10	Keratometry R2 cylinder axis (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	878	8736	340	1	1	1
7409	Keratometry R2 cylinder axis (left)	0	2	0	11	0	0	0	1	1	0	degrees	1419	0	2	2	3	1	10	Keratometry R2 cylinder axis (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	881	8777	330	1	1	1
7410	Keratometry R1 cylinder axis (left)	0	2	0	11	0	0	0	1	1	0	degrees	1419	0	2	2	3	1	10	Keratometry R1 cylinder axis (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	881	8777	270	1	1	1
7476	Refractometry method	0	2	0	21	11	0	0	1	0	0		1419	100274	2	2	3	0	0	Indicates whether it was possible to perform refractometry.	2022-12-18T00:00:00	2023-03-07T00:00:00	2494	2494	0	1	1	1
7486	Distance from corneal vertex to spectacle lens when wearing glasses	0	2	0	31	0	0	0	1	0	0	mm	1419	0	2	2	3	0	0	Distance between corneal vertex and the spectacle lens when the participant wears glasses	2022-12-17T00:00:00	2023-03-07T00:00:00	892	892	260	1	1	1
7494	Corneal refractive index	0	2	0	31	0	0	0	1	0	0	ratio	1419	0	2	2	3	0	0	Corneal refractive index	2022-12-17T00:00:00	2023-03-07T00:00:00	892	892	210	1	1	1
7495	Median spherical power (right)	0	2	0	31	0	0	0	1	0	0	dioptre	1419	0	2	2	3	0	0	Median spherical power (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	885	885	740	1	1	1
7496	Median cylindrical power (right)	0	2	0	31	0	0	0	1	0	0	dioptre	1419	0	2	2	3	0	0	Median cylindrical power (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	885	885	700	1	1	1
7497	Median cylinder axis (right)	0	2	0	11	0	0	0	1	0	0	degrees	1419	0	2	2	3	0	0	Median cylinder axis (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	885	885	680	1	1	1
7498	Median spherical equivalent value (right)	0	2	0	31	0	0	0	1	0	0	dioptre	1419	0	2	2	3	0	0	Median spherical equivalent value (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	885	885	720	1	1	1
7499	Trial lens spherical power (right)	0	2	0	31	0	0	0	1	0	0	dioptre	1419	0	2	2	3	0	0	Trial lens spherical power (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	885	885	880	1	1	1
7500	Trial lens cylindrical power (right)	0	2	0	31	0	0	0	1	0	0	dioptre	1419	0	2	2	3	0	0	Trial lens cylindrical power (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	885	885	860	1	1	1
7501	Trial lens cylinder axis (right)	0	2	0	11	0	0	0	1	0	0	degrees	1419	0	2	2	3	0	0	Trial lens cylinder axis (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	885	885	840	1	1	1
7502	Contact lens spherical power (right)	0	2	0	31	0	0	0	1	0	0	dioptre	1419	0	2	2	3	0	0	Contact lens spherical power (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	885	885	200	1	1	1
7503	Contact lens cylindrical power (right)	0	2	0	31	0	0	0	1	0	0	dioptre	1419	0	2	2	3	0	0	Contact lens cylindrical power (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	885	885	160	1	1	1
7504	Contact lens cylinder axis (right)	0	2	0	11	0	0	0	1	0	0	degrees	1419	0	2	2	3	0	0	Contact lens cylinder axis (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	885	885	140	1	1	1
7505	Contact lens spherical equivalent value (right)	0	2	0	31	0	0	0	1	0	0	dioptre	1419	0	2	2	3	0	0	Contact lens spherical equivalent value (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	885	885	180	1	1	1
7507	Keratometry median R1 radius (right)	0	2	0	31	0	0	0	1	0	0	mm	1419	0	2	2	3	0	0	Keratometry median R1 radius (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	876	876	480	1	1	1
7508	Keratometry median R1 spherical value (right)	0	2	0	31	0	0	0	1	0	0	dioptre	1419	0	2	2	3	0	0	Keratometry median R1 spherical value (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	876	876	500	1	1	1
7509	Keratometry median R1 cylinder axis (right)	0	2	0	11	0	0	0	1	0	0	degrees	1419	0	2	2	3	0	0	Keratometry median R1 cylinder axis (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	876	876	460	1	1	1
7510	Keratometry median R2 radius (right)	0	2	0	31	0	0	0	1	0	0	mm	1419	0	2	2	3	0	0	Keratometry median R2 radius (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	876	876	540	1	1	1
7511	Keratometry median R2 spherical value (right)	0	2	0	31	0	0	0	1	0	0	dioptre	1419	0	2	2	3	0	0	Keratometry median R2 spherical value (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	876	876	560	1	1	1
7512	Keratometry median R2 cylinder axis (right)	0	2	0	11	0	0	0	1	0	0	degrees	1419	0	2	2	3	0	0	Keratometry median R2 cylinder axis (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	876	876	520	1	1	1
7513	Keratometry median average radius (right)	0	2	0	31	0	0	0	1	0	0	mm	1419	0	2	2	3	0	0	Keratometry median average radius (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	876	876	580	1	1	1
7514	Keratometry median average spherical value (right)	0	2	0	31	0	0	0	1	0	0	dioptre	1419	0	2	2	3	0	0	Keratometry median average spherical value (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	876	876	600	1	1	1
7515	Keratometry median spherical value (right)	0	2	0	31	0	0	0	1	0	0	dioptre	1419	0	2	2	3	0	0	Keratometry median spherical value (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	876	876	640	1	1	1
7516	Keratometry median cylinder axis (right)	0	2	0	11	0	0	0	1	0	0	degrees	1419	0	2	2	3	0	0	Keratometry median cylinder axis (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	876	876	620	1	1	1
7517	Median spherical power (left)	0	2	0	31	0	0	0	1	0	0	dioptre	1419	0	2	2	3	0	0	Median spherical power (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	886	886	730	1	1	1
7518	Median cylindrical power (left)	0	2	0	31	0	0	0	1	0	0	dioptre	1419	0	2	2	3	0	0	Median cylindrical power (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	886	886	690	1	1	1
7519	Median cylinder axis (left)	0	2	0	11	0	0	0	1	0	0	degrees	1419	0	2	2	3	0	0	Median cylinder axis (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	886	886	670	1	1	1
7520	Median spherical equivalent value (left)	0	2	0	31	0	0	0	1	0	0	dioptre	1419	0	2	2	3	0	0	Median spherical equivalent value (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	886	886	710	1	1	1
7521	Trial lens spherical power (left)	0	2	0	31	0	0	0	1	0	0	dioptre	1419	0	2	2	3	0	0	Trial lens spherical power (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	886	886	870	1	1	1
7522	Trial lens cylindrical power (left)	0	2	0	31	0	0	0	1	0	0	dioptre	1419	0	2	2	3	0	0	Trial lens cylindrical power (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	886	886	850	1	1	1
7523	Trial lens cylinder axis (left)	0	2	0	11	0	0	0	1	0	0	degrees	1419	0	2	2	3	0	0	Trial lens cylinder axis (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	886	886	830	1	1	1
7524	Contact lens spherical power (left)	0	2	0	31	0	0	0	1	0	0	dioptre	1419	0	2	2	3	0	0	Contact lens spherical power (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	886	886	190	1	1	1
7525	Contact lens cylindrical power (left)	0	2	0	31	0	0	0	1	0	0	dioptre	1419	0	2	2	3	0	0	Contact lens cylindrical power (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	886	886	150	1	1	1
7526	Contact lens cylinder axis (left)	0	2	0	11	0	0	0	1	0	0	degrees	1419	0	2	2	3	0	0	Contact lens cylinder axis (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	886	886	130	1	1	1
7527	Contact lens spherical equivalent value (left)	0	2	0	31	0	0	0	1	0	0	dioptre	1419	0	2	2	3	0	0	Contact lens spherical equivalent value (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	886	886	170	1	1	1
7529	Keratometry median R1 radius (left)	0	2	0	31	0	0	0	1	0	0	mm	1419	0	2	2	3	0	0	Keratometry median R1 radius (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	879	879	470	1	1	1
7530	Keratometry median R1 spherical value (left)	0	2	0	31	0	0	0	1	0	0	dioptre	1419	0	2	2	3	0	0	Keratometry median R1 spherical value (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	879	879	490	1	1	1
7531	Keratometry median R1 cylinder axis (left)	0	2	0	11	0	0	0	1	0	0	degrees	1419	0	2	2	3	0	0	Keratometry median R1 cylinder axis (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	879	879	450	1	1	1
7532	Keratometry median R2 radius (left)	0	2	0	31	0	0	0	1	0	0	mm	1419	0	2	2	3	0	0	Keratometry median R2 radius (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	879	879	530	1	1	1
7533	Keratometry median R2 spherical value (left)	0	2	0	31	0	0	0	1	0	0	dioptre	1419	0	2	2	3	0	0	Keratometry median R2 spherical value (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	879	879	550	1	1	1
7534	Keratometry median R2 cylinder axis (left)	0	2	0	11	0	0	0	1	0	0	degrees	1419	0	2	2	3	0	0	Keratometry median R2 cylinder axis (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	879	879	510	1	1	1
7535	Keratometry median average radius (left)	0	2	0	31	0	0	0	1	0	0	mm	1419	0	2	2	3	0	0	Keratometry median average radius (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	879	879	570	1	1	1
7536	Keratometry median average spherical value (left)	0	2	0	31	0	0	0	1	0	0	dioptre	1419	0	2	2	3	0	0	Keratometry median average spherical value (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	879	879	590	1	1	1
7537	Keratometry median spherical value (left)	0	2	0	31	0	0	0	1	0	0	dioptre	1419	0	2	2	3	0	0	Keratometry median spherical value (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	879	879	630	1	1	1
7538	Keratometry median cylinder axis (left)	0	2	0	11	0	0	0	1	0	0	degrees	1419	0	2	2	3	0	0	Keratometry median cylinder axis (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	879	879	610	1	1	1
7539	Pupil size (left)	0	2	0	31	0	0	0	1	0	0	mm	1419	0	2	2	3	0	0	Pupil size (left)	2022-12-17T00:00:00	2023-03-07T00:00:00	823	823	770	1	1	1
7541	Eye prescription (left)	0	2	0	31	0	0	3	1	0	0	dioptre	1419	0	2	2	3	0	0	Left eye prescription is defined here as Median spherical equivalent value (left) + 0.75	2022-12-17T00:00:00	2023-03-07T00:00:00	886	886	100	1	1	1
7542	Eye prescription (right)	0	2	0	31	0	0	3	1	0	0	dioptre	1419	0	2	2	3	0	0	Right eye prescription is defined here as Median spherical equivalent value (right) + 0.75	2022-12-17T00:00:00	2023-03-07T00:00:00	885	885	110	1	1	1
7544	Pupil size (right)	0	2	0	31	0	0	0	1	0	0	mm	1419	0	2	2	3	0	0	Pupil size (right)	2022-12-17T00:00:00	2023-03-07T00:00:00	802	802	780	1	1	1
7669	Image displayed	0	2	0	41	0	0	2	1	1	0		1358	0	2	2	3	0	44	Image displayed to participant. See Resources for corresponding image files.	2022-12-15T00:00:00	2023-03-08T00:00:00	2359	78447	190	1	1	1
7670	Letter displayed to participant	0	2	0	41	0	0	0	1	1	0		1358	0	2	2	3	0	44	This is the letter displayed to participant.	2022-12-15T00:00:00	2023-03-08T00:00:00	2359	78447	130	1	1	1
7671	Letter selected by participant	0	2	0	41	0	0	0	1	1	0		1358	0	2	2	3	0	44	The letter selected by the participant for each round of the test.	2022-12-15T00:00:00	2023-03-08T00:00:00	2359	78447	140	1	1	1
7672	History of actions performed	0	2	0	41	0	0	2	1	1	0		1358	0	2	2	3	0	44	This is an audit trail of the keys pressed by a participant at each round of the trial. It records what was pressed and when it was pressed. To illustrate <p> 3201,C,4328,K,5531,# <p> indicates that <ol> <li>At 3201ms (after seeing the image) the participant selected the letter "C";</li> <li>at 4328ms the participant changed their mind and selected the latter "K"; </li> <li>at 5531ms the participant pressed the Next key ("#").</li> </ol>	2022-12-15T00:00:00	2023-03-08T00:00:00	2359	78447	180	1	1	1
7673	Duration between presenting an image and participant making selection	0	2	0	11	0	0	0	1	1	0	msec	1358	0	2	2	3	0	44	This is the time interval between presenting an image and participant making an initial selection. If the participant changed their mind about their selection then the time for that change is not recorded.	2022-12-15T00:00:00	2023-03-08T00:00:00	2359	78447	160	1	1	1
7674	Duration between presenting an image and participant pressing Next button	0	2	0	11	0	0	0	1	1	0	msec	1358	0	2	2	3	0	44	This is the time interval presenting an image and the participant pressing (after having made a selection) the Next button.	2022-12-15T00:00:00	2023-03-08T00:00:00	2359	78447	170	1	1	1
7676	Number of letters displayed	0	2	0	11	0	0	0	1	0	0		1358	0	2	2	3	0	0	The number of letters displayed before the test was concluded. Usually this will be a multiple of five corresponding to the end of a round at a particular fragmentation level, however other values are possible if a time-out threshold is crossed during a round.	2022-12-15T00:00:00	2023-03-08T00:00:00	2359	2359	200	1	1	1
7677	Reason test concluded	0	2	0	21	11	0	0	1	0	0		1358	3050	2	2	3	0	0	Indicates the reason that a particular test sequence was concluded.	2022-12-15T00:00:00	2023-03-08T00:00:00	2359	2359	120	1	1	1
7678	Total duration of test	0	2	0	11	0	0	0	1	0	0	seconds	1358	0	2	2	3	0	0	This is the interval between the participant ending the test due to reaching the incorrect-answer threshold or being timed-out.	2022-12-15T00:00:00	2023-03-08T00:00:00	2359	2359	150	1	1	1
10004	Medication for pain relief, constipation, heartburn (pilot)	0	0	0	22	11	0	0	1	1	0		100045	100688	2	0	0	0	4	ACE touchscreen question "Do you regularly take any of the following over-the-counter medications? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Some over the counter medicines are known by other names. Please enter<br>the corresponding name if you take any of the following REGULARLY<br>(that is, most days of the week for the last 4 weeks):<br><br>Aspirin: Alka Rapid Crystals, Alka-Seltzer XS, Anadin Extra, Anadin<br>  Original, Askit powders, Aspro Clear, Codis 500, Disprin, Disprin Extra<br><br>Ibuprofen: Anadin Ultra, Anadin Ibuprofen, Cuprofen Plus, Nurofen, <br>  Solpaflex, Ibuleve<br><br>Paracetamol: Anadin Extra, Hedex Extra, Panadol, Paracodol, Paramol,<br>  Solpadeine, Syndol, Veganin, Feminax, Midrid, Migraleve<br><br>Codeine: Codis 500, Cuprofen Plus, Nurofen Plus, Panadol Ultra,<br>  Paracodol, Paramol, Solpadeine Max, Sopadeine Plus, Solpafelx, Syndol,<br>  Veganin, Feminax, Migraleve<br></i></td></tr></table>	2012-01-05T00:00:00	2022-03-09T00:00:00	3770	4460	5	1	1	1
10005	Medication for smoking cessation, constipation, heartburn, allergies (pilot)	0	0	0	22	11	0	0	1	1	0		100045	100689	2	0	0	0	2	ACE touchscreen question "Do you regularly take any of the following over-the-counter medications? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul>	2012-01-05T00:00:00	2022-03-09T00:00:00	3770	3824	6	1	1	1
10006	Mouth/teeth dental problems (pilot)	0	0	0	22	11	0	0	1	1	0		100046	100685	2	0	0	0	3	ACE touchscreen question "In the last year have you experienced any of the following? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul>	2012-01-05T00:00:00	2022-03-09T00:00:00	3770	4337	2	1	1	1
10007	Vitamin and mineral supplements (pilot)	0	0	0	22	11	0	0	1	1	0		100045	100692	2	0	0	0	5	ACE touchscreen question "Do you regularly take any of the following? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul>	2012-01-05T00:00:00	2022-03-09T00:00:00	3770	4918	8	1	1	1
10016	Regular use of hands-free device/speakerphone with mobile phone (pilot)	0	0	0	21	11	0	0	1	0	0		100053	100349	2	0	0	0	0	ACE touchscreen question "Do you use a hands-free device/speakerphone regularly, i.e. for more than half the calls you make or receive on a mobile phone?"	2012-01-05T00:00:00	2022-03-09T00:00:00	2949	2949	4	1	1	1
10105	Internet user (pilot)	0	0	0	21	11	0	0	1	0	0		100053	100352	2	0	0	0	0	ACE touchscreen question "Do you use the internet?"	2012-01-05T00:00:00	2022-03-09T00:00:00	3770	3770	10	1	1	1
10114	Willing to be contacted by email (pilot)	0	0	0	21	11	0	0	1	0	0		100053	100352	2	0	0	0	0	ACE touchscreen question "Would you be willing for the study organisers to contact you in the future by email?" <p> This question was asked in the Pilot assessment centre (2006) only to gauge the best methods for re-contacting participants.	2012-01-05T00:00:00	2022-03-09T00:00:00	3770	3770	11	1	1	1
10115	Why stopped smoking (pilot)	0	0	0	21	11	0	0	1	0	0		100058	100669	2	0	0	0	0	ACE touchscreen question "Why did you stop smoking?"	2012-01-05T00:00:00	2012-01-05T00:00:00	930	930	3180	1	1	1
10132	Type of progestan-only oral contraceptive used (pilot)	0	0	0	21	11	0	0	1	0	2		100069	100686	2	0	0	0	0	ACE touchscreen question "Are you NOW taking any of the following?"	2012-01-05T00:00:00	2012-01-05T00:00:00	44	44	21	1	1	1
10133	Number of columns displayed in round (pilot)	0	0	0	11	0	0	2	1	1	0		100030	0	2	0	0	1	3		2012-01-05T00:00:00	2022-03-09T00:00:00	3715	11145	160	1	1	1
10134	Number of rows displayed in round (pilot)	0	0	0	11	0	0	2	1	1	0		100030	0	2	0	0	1	3		2012-01-05T00:00:00	2022-03-09T00:00:00	3715	11145	180	1	1	1
10136	Number of correct matches in round (pilot)	0	0	0	11	0	0	0	1	1	0		100030	0	2	0	0	1	3	This is the number of correct matches in the round. It should always be 3 for a 2x3 game and 6 for a 3x4 game, unless the participant abandoned before finishing.	2012-01-05T00:00:00	2022-03-09T00:00:00	3715	11145	200	1	1	1
10137	Number of incorrect matches in round (pilot)	0	0	0	11	0	0	0	1	1	0		100030	0	2	0	0	1	3	A value of 0 indicates the participant made no mistakes.	2012-01-05T00:00:00	2022-03-09T00:00:00	3715	11145	110	1	1	1
10138	Time to complete round (pilot)	0	0	0	11	0	0	0	1	1	0	deciseconds	100030	402	2	0	0	1	3		2012-01-05T00:00:00	2022-03-09T00:00:00	3715	11145	130	1	1	1
10139	Index for card A in round (pilot)	0	0	0	21	11	0	2	1	1	0		100032	92	2	0	0	0	19		2012-01-05T00:00:00	2022-03-09T00:00:00	3715	74300	2	1	1	1
10140	Index for card B in round (pilot)	0	0	0	21	11	0	2	1	1	0		100032	92	2	0	0	0	19		2012-01-05T00:00:00	2022-03-09T00:00:00	3715	74300	4	1	1	1
10141	Number of times snap-button pressed (pilot)	0	0	0	11	0	0	0	1	1	0		100032	0	2	0	0	0	19	This indicates the number of times the snap-button was pressed (i.e. the user indicated the cards matched) in each round.	2012-01-05T00:00:00	2022-03-09T00:00:00	3715	74300	6	1	1	1
10142	Number of columns displayed (pilot)	0	0	0	11	0	0	2	1	1	0		100028	0	2	0	0	1	3	This is the number of columns in the lights memory test.	2012-01-05T00:00:00	2022-03-09T00:00:00	3715	11145	1	1	1	1
10143	Number of rows displayed (pilot)	0	0	0	11	0	0	2	1	1	0		100028	0	2	0	0	1	3	This is the number of rows in the lights memory test.	2012-01-05T00:00:00	2022-03-09T00:00:00	3715	11145	2	1	1	1
10144	Time taken to complete lights test (pilot)	0	0	0	11	0	0	0	1	1	0	deciseconds	100028	0	2	0	0	1	3		2012-01-05T00:00:00	2022-03-09T00:00:00	3715	11145	5	1	1	1
10145	Pattern of lights displayed (pilot)	0	0	0	41	0	0	0	1	1	0		100028	0	2	0	0	1	3		2012-01-05T00:00:00	2012-01-05T00:00:00	3713	11139	3	1	1	1
10146	Pattern of lights as remembered (pilot)	0	0	0	41	0	0	0	1	1	0		100028	0	2	0	0	1	3		2012-01-05T00:00:00	2012-01-05T00:00:00	3713	11139	4	1	1	1
10147	Duration to first press of snap-button in each round (pilot)	0	0	0	11	0	0	0	1	1	0	milliseconds	100032	0	2	0	0	0	19	This gives the interval between the cards being displayed and the participant pressing the snap-button to indicate a match. Note that the time is recorded regardless of whether the cards shown formed a matching pair. Fields ~F10139~ and ~F10140~ need to be compared to determine if the cards were the same. <p>Each pair was displayed for 2 seconds, followed by a 1 second gap. If the button-press occurred during a gap then it was recorded against the previous pair, giving a value in the range 2001-2999ms.	2012-01-05T00:00:00	2022-03-09T00:00:00	3702	30029	8	1	1	1
10241	Touchscreen duration (pilot)	0	0	0	11	0	0	2	1	0	0	deciseconds	152	0	2	0	0	0	0	The Pilot touchscreen questionnaire did not included the cognitive assessments and contained fewer 'ordinary' questions than the subsequent Main study versions.	2012-01-05T00:00:00	2022-03-09T00:00:00	3715	3715	0	1	1	1
10609	Words answer array (pilot)	0	0	0	11	0	0	0	1	1	0		100077	0	2	0	0	0	50	Words answer array.	2012-01-05T00:00:00	2022-03-09T00:00:00	3740	67115	0	1	1	1
10610	Word count (pilot)	0	0	0	21	11	0	0	1	0	0		100077	100280	2	0	0	0	0	Word count<p>Participant's were told <p><i> Now I would you to tell me as many different words as you can think of beginning with the letter `S'. Please do not include people's names or place names. You have one minute to do this. Ready, go! </i> <p> The number of distinct valid words they spoke was recorded in this field by the staff member clicking a button as each new one was spoken. <p> If a participant stalled before the end of the timed minute, they were prompted with the verbal message <p><i> I want you to tell me as many words as you can think of beginning with the letter `S'.</i>	2012-01-05T00:00:00	2022-03-09T00:00:00	3745	3745	0	1	1	1
10612	Number of words beginning with 'S' (pilot)	0	0	0	11	0	0	0	1	0	0	words	100077	100696	2	0	0	0	0	Number of words beginning with 'S', or -1 if abandoned	2012-01-05T00:00:00	2022-03-09T00:00:00	3745	3745	0	1	1	1
10691	Result ranking (pilot)	0	0	0	21	11	0	0	1	1	0		100020	22	2	0	0	1	4	How good was each blow; 1=best; 3=worst	2012-01-05T00:00:00	2022-03-09T00:00:00	3417	10180	240	1	1	1
10693	Acceptability of each blow result (pilot)	0	0	0	11	0	0	2	1	1	0		100020	0	2	0	0	1	4	Acceptability of spirometry result (bit field)<p>START_OF_TEST Set if the extrapolated volume at start of test is excessive = 0x01<br>TIME_TO_PEF Set if time to peak flow is excessive = 0x02<br>END_OF_TEST Set if an adequate plateau at the end of the test does not exist = 0x04<br>COUGHING Set if a cough was detected during the manovoure = 0x08<br>TEST_DURATION Set if the test is less than 6 seconds = 0x10<br>USER_ACCEPTED Specifies whether or not the test was explicitly acceped by the investigator = 0x20<br>USER_REJECTED Specifies whether or not the test was explicitly rejected by the investigator = 0x40<p>Hence a decimal value of 24 (0x08+0x10) indicates a test of less than 6 seconds during which a cough was detected.	2012-01-05T00:00:00	2022-03-09T00:00:00	3417	10180	290	1	1	1
10694	Forced vital capacity (FVC) (pilot)	0	0	0	31	0	0	0	1	1	0	litres	100020	0	2	0	0	1	4	FVC value calculated from blow	2012-01-05T00:00:00	2022-03-09T00:00:00	3417	10180	310	1	1	1
10695	Forced expiratory volume in 1-second (FEV1) (pilot)	0	0	0	31	0	0	0	1	1	0	litres	100020	0	2	0	0	1	4	FEV1 value calculated from blow	2012-01-05T00:00:00	2022-03-09T00:00:00	3417	10180	350	1	1	1
10696	Peak expiratory flow (PEF) (pilot)	0	0	0	11	0	0	0	1	1	0		100020	0	2	0	0	1	4	Peak expiratory flow during blow	2012-01-05T00:00:00	2022-03-09T00:00:00	3417	10180	420	1	1	1
10697	Data points for blow (pilot)	0	0	0	101	0	0	0	1	1	0		100020	0	2	0	0	1	4		2012-01-05T00:00:00	2013-02-19T00:00:00	3416	10177	270	1	1	1
10711	Spirometry method (pilot)	0	0	0	21	11	0	0	1	0	0		100020	100282	2	0	0	0	0		2012-01-05T00:00:00	2022-03-09T00:00:00	3431	3431	260	1	1	1
10714	Spirometry device serial number (pilot)	0	0	0	41	0	0	2	1	0	0		100020	0	2	0	0	0	0		2012-01-05T00:00:00	2012-01-05T00:00:00	3425	3425	460	1	1	1
10717	Number of measurements made (pilot)	0	0	0	11	0	0	2	1	0	0		100020	0	2	0	0	0	0	Number of sets of spirometry results collected from the device	2012-01-05T00:00:00	2022-03-09T00:00:00	3426	3426	200	1	1	1
10721	Illness, injury, bereavement, stress in last 2 years (pilot)	0	0	0	22	11	0	0	1	1	0		100060	100683	2	0	0	0	4	ACE touchscreen question "In the last 2 years have you experienced any of the following? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul>	2012-01-05T00:00:00	2022-03-09T00:00:00	3770	4342	38	1	1	1
10722	Qualifications (pilot)	0	0	0	22	11	0	0	1	1	0		100063	100658	2	0	0	0	4	ACE touchscreen question "Which of the following qualifications do you have? (You can select more than one)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i> - A levels/AS levels and equivalent includes the Higher<br>   School Certificate.<br><br> - O levels/GCSEs and equivalent includes the School Certificate.<br></i></td></tr></table>	2012-01-05T00:00:00	2022-03-09T00:00:00	3770	6194	2	1	1	1
10723	Vitamin supplements (pilot)	0	0	0	22	11	0	0	1	1	0		100045	100691	2	0	0	0	5	ACE touchscreen question "Do you regularly take any of the following? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul>	2012-01-05T00:00:00	2022-03-09T00:00:00	3770	4471	10	1	1	1
10740	Frequency of friend/family visits (pilot)	0	0	0	21	11	0	0	1	0	0		100061	100662	2	0	0	0	0	ACE touchscreen question "How often do you visit friends or family or have them visit you?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If this varies, please give an average of how often<br>you visit or have had visits in the last year.<br>Include meeting with friends or family in environments<br>outside of the home such as in the park, at a sports<br>field, at a restaurant or pub.<br></i></td></tr></table>	2012-01-05T00:00:00	2022-03-09T00:00:00	3770	3770	2	1	1	1
10749	Time using mobile phone in last 3 months (pilot)	0	0	0	21	11	0	0	1	0	0		100053	100663	2	0	0	0	0	ACE touchscreen question "Over the last 3 months, on average how much time per week did you spend making or receiving calls on a mobile phone?"	2012-01-05T00:00:00	2022-03-09T00:00:00	2949	2949	3	1	1	1
10767	Spread type (pilot)	0	0	0	21	11	0	0	1	0	0		100052	100673	2	0	0	0	0	ACE touchscreen question "What type of spread do you mainly use?"	2012-01-05T00:00:00	2022-03-09T00:00:00	3770	3770	19	1	1	1
10776	Bread type/intake (pilot)	0	0	0	21	11	0	0	1	0	0		100052	100674	2	0	0	0	0	ACE touchscreen question "What type of bread do you mainly eat?"	2012-01-05T00:00:00	2022-03-09T00:00:00	3653	3653	22	1	1	1
10793	Hearing difficulty/problems (pilot)	0	0	0	21	11	0	0	1	0	0		100043	100349	2	0	0	0	0	ACE touchscreen question "Do you have any difficulty with your hearing?"	2012-01-05T00:00:00	2022-03-09T00:00:00	3770	3770	2	1	1	1
10818	Reason for reducing amount of alcohol drunk (pilot)	0	0	0	21	11	0	0	1	0	0		100051	100669	2	0	0	0	0	ACE touchscreen question "Why did you reduce the amount you drank?"	2012-01-05T00:00:00	2012-01-05T00:00:00	1514	1514	18	1	1	1
10827	Ever stopped smoking for 6+ months (pilot)	0	0	0	21	11	0	0	1	0	0		100058	100668	2	0	0	0	0	ACE touchscreen question "In the time that you smoked, did you ever stop for more than 6 months?"	2012-01-05T00:00:00	2012-01-05T00:00:00	930	930	3160	1	1	1
10844	Gestational diabetes only (pilot)	0	0	0	21	11	0	0	1	0	2		100044	100349	2	0	0	0	0	ACE touchscreen question "Did you only have diabetes during pregnancy?"	2012-01-05T00:00:00	2012-01-05T00:00:00	63	63	14	1	1	1
10853	Reason former drinker stopped drinking alcohol (pilot)	0	0	0	21	11	0	0	1	0	0		100051	100669	2	0	0	0	0	ACE touchscreen question "Why did you stop drinking?" <br> Former drinkers were asked why they stopped drinking alcohol.	2012-01-05T00:00:00	2012-01-05T00:00:00	138	138	20	1	1	1
10854	Other dietary supplements (pilot)	0	0	0	22	11	0	0	1	1	0		100045	100690	2	0	0	0	5	ACE touchscreen question "Do you regularly take any of the following? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul>	2012-01-05T00:00:00	2022-03-09T00:00:00	3770	4183	11	1	1	1
10855	Never eat eggs, dairy, wheat, sugar (pilot)	0	0	0	22	11	0	0	1	1	0		100052	100672	2	0	0	0	3	ACE touchscreen question "Which of the following do you NEVER eat? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code 5 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul>	2012-01-05T00:00:00	2022-03-09T00:00:00	3770	3938	14	1	1	1
10860	Gas or solid-fuel cooking/heating (pilot)	0	0	0	22	11	0	0	1	1	0		100066	100656	2	0	0	0	2	ACE touchscreen question "Do you have any of the following in your home? (You can select more than one answer)"<p>The following checks were performed:<ul><li>If code -7 was selected, then no additional choices were allowed.</li><li>If code -1 was selected, then no additional choices were allowed.</li><li>If code -3 was selected, then no additional choices were allowed.</li></ul><p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>A gas cooker is where your cooker has a gas hob and gas<br>oven.<br>Solid fuel refers to wood or coal.<br>'Regular use' is when you use this for most days of the<br>week in the winter time.<br></i></td></tr></table>	2012-01-05T00:00:00	2022-03-09T00:00:00	3770	4379	4	1	1	1
10877	Average total household income before tax (pilot)	0	0	0	21	11	0	0	1	0	0		100066	100657	2	0	0	0	0	ACE touchscreen question "What is the average total income before tax received by your HOUSEHOLD?"<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If you are unsure of annual household income here are<br>the weekly and monthly equivalents:<br><br>Annual    Monthly   Weekly<br><br>less than &pound;18,000  less than &pound;1,500  less than &pound;350<br>&pound;18,000 to &pound;29,999  &pound;1,500 to &pound;2,499  &pound;350 to &pound;576<br>&pound;30,000 to &pound;51,999  &pound;2,500 to &pound;4,300  &pound;577 to &pound;1000<br>&pound;52,000 to &pound;100,000  &pound;4,300 to &pound;8,300  &pound;1000 to &pound;1,900<br>greater than &pound;100,000  greater than &pound;8,300  greater than &pound;1,900 <br></i></td></tr></table>	2012-01-05T00:00:00	2022-03-09T00:00:00	3751	3751	11	1	1	1
10886	Difference in mobile phone use compared to one year previously (pilot)	0	0	0	21	11	0	0	1	0	0		100053	100664	2	0	0	0	0	ACE touchscreen question "Is there any difference between your mobile phone use now compared to one year ago?"	2012-01-05T00:00:00	2022-03-09T00:00:00	2949	2949	7	1	1	1
10895	Light smokers, at least 100 smokes in lifetime (pilot)	0	0	0	21	11	0	0	1	0	0		100058	100352	2	0	0	0	0	ACE touchscreen question "In your lifetime, have you smoked a total of at least 100 cigarettes or equivalent?"	2012-01-05T00:00:00	2022-03-09T00:00:00	935	935	100	1	1	1
10912	Variation in diet (pilot)	0	0	0	21	11	0	0	1	0	0		100052	100394	2	0	0	0	0	ACE touchscreen question "Does your diet vary much from week to week?"	2012-01-05T00:00:00	2022-03-09T00:00:00	3770	3770	33	1	1	1
10953	Duration of walks (pilot)	0	0	0	21	11	0	0	1	0	0		100054	100659	2	0	0	0	0	ACE touchscreen question "How much time do you usually spend walking on one of those days? "<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If the time you usually spend walking on each day of<br>the week varies a lot, give an average of the time you<br>spend walking. For instance if on one day of the week<br>you usually walk for 4 hours but on the other day you<br>walk 2 hours then give the average - that is 3 hours.<br></i></td></tr></table>	2012-01-05T00:00:00	2022-03-09T00:00:00	3634	3634	0	1	1	1
10962	Duration of moderate physical activity (pilot)	0	0	0	21	11	0	0	1	0	0		100054	100659	2	0	0	0	0	ACE touchscreen question "How much time do you usually spend doing moderate physical activities on one of those days? "<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If the time you usually spend doing moderate physical<br>activity on each day of the week varies a lot, give an<br>average of the time you spend doing moderate physical<br>activity.<br></i></td></tr></table>	2012-01-05T00:00:00	2022-03-09T00:00:00	3045	3045	0	1	1	1
10971	Duration of vigorous physical activity (pilot)	0	0	0	21	11	0	0	1	0	0		100054	100659	2	0	0	0	0	ACE touchscreen question "How much time do you usually spend doing vigorous physical activities on one of those days? "<p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>If the time you usually spend doing vigorous physical<br>activity on each day of the week varies a lot, give an<br>average of the time you spend doing vigorous physical<br>activity.<br></i></td></tr></table>	2012-01-05T00:00:00	2022-03-09T00:00:00	1980	1980	0	1	1	1
12139	Believed safe to perform brain MRI scan	0	2	0	21	11	0	0	1	0	0		100	634	2	2	3	0	0	A trained nurse interviewed the participant about their medical history (for instance metallic implants) and declared whether or not they believed it was safe for the participant to undergo the Brain MRI scan on the basis of the information they were given.	2015-09-02T00:00:00	2023-03-07T00:00:00	65423	70814	100	1	1	1
12140	Believed safe to perform abdominal MRI scan	0	2	0	21	11	0	0	1	0	0		105	634	2	2	3	0	0	A trained nurse interviewed the participant about their medical history (for instance metallic implants) and declared whether or not they believed it was safe for the participant to undergo the Abdominal MRI scan on the basis of the information they were given.	2015-09-02T00:00:00	2023-03-07T00:00:00	65423	70814	0	1	1	1
12141	Believed safe to perform DXA scan	0	2	0	21	11	0	0	1	0	0		103	634	2	2	3	0	0	A trained nurse interviewed the participant about their medical history (for instance metallic implants) and declared whether or not they believed it was safe for the participant to undergo the DXA scan on the basis of the information they were given.	2015-09-02T00:00:00	2023-03-07T00:00:00	65423	70814	130	1	1	1
12143	Weight (pre-imaging)	0	2	0	11	0	0	0	1	0	0	Kg	100010	0	2	2	3	0	0	Weight measured prior to imaging stages. Required by DXA device for calibration.	2015-09-02T00:00:00	2023-03-07T00:00:00	65423	70814	0	1	1	1
12144	Height	0	2	0	11	0	0	0	1	0	0	cm	100010	0	2	2	3	0	0	Height measured prior to imaging stages. Required by DXA device for calibration.	2015-09-02T00:00:00	2023-03-07T00:00:00	65423	70814	0	1	1	1
12148	Number of imaging stages blocked at screening	0	2	0	11	0	0	0	1	0	0		100004	0	2	2	3	0	0	This summarises the number of imaging stages (Brain MRI, Chest MRI and DXA) that were judged to be unsafe to perform during the face-to-face screening process in the clinic (participants having been screened initially over the telephone when making their clinic appointment).	2015-09-02T00:00:00	2023-03-07T00:00:00	65423	70814	0	1	1	1
12187	Brain MRI measuring method	0	2	0	21	11	0	0	1	0	0		100	470	2	2	3	0	0	This field indicates whether the participant was able to attempt the brain MRI (direct entry) or was unable to start it due to equipment failure or some other reason.	2015-09-02T00:00:00	2023-03-08T00:00:00	64164	69534	110	1	1	1
12188	Operator indicated brain MRI measurement completed	0	2	0	21	11	0	0	1	0	0		100	21	2	2	3	0	0	At the end of the brain MRI process the device operator was required to indicate whether they believed the measurement had been performed fully. <br><br> Please note that this does not always mean that the participant has complete brain MRI data available for download.	2015-09-02T00:00:00	2023-03-08T00:00:00	61869	67180	120	1	1	1
12223	Abdominal MRI measuring method	0	2	0	21	11	0	0	1	0	0		105	470	2	2	3	0	0	.	2015-09-02T00:00:00	2023-03-08T00:00:00	64238	69603	0	1	1	1
12224	Abdominal MRI measurement completed	0	2	0	21	11	0	0	1	0	0		105	7	2	2	3	0	0	.	2015-09-02T00:00:00	2023-03-08T00:00:00	62621	67832	0	1	1	1
12253	DXA measuring method	0	2	0	21	11	0	0	1	0	0		103	470	2	2	3	0	0	.	2015-09-02T00:00:00	2023-03-08T00:00:00	65228	70599	120	1	1	1
12254	DXA measurement completed	0	2	0	21	11	0	0	1	0	0		103	7	2	2	3	0	0	.	2015-09-02T00:00:00	2023-03-08T00:00:00	63682	68738	110	1	1	1
12291	Carotid ultrasound measuring method	0	2	0	21	11	0	0	1	0	0		101	470	2	2	3	0	0	.	2015-09-02T00:00:00	2023-03-08T00:00:00	65238	70581	110	1	1	1
12292	Carotid ultrasound measurement completed	0	2	0	21	11	0	0	1	0	0		101	7	2	2	3	0	0	.	2015-09-02T00:00:00	2023-03-08T00:00:00	64111	69338	100	1	1	1
12323	12-lead ECG measuring method	0	2	0	21	11	0	0	1	0	0		104	470	2	2	3	0	0	.	2015-09-02T00:00:00	2023-03-08T00:00:00	65120	70332	100	1	1	1
12336	Ventricular rate	0	2	0	11	0	0	0	1	0	0	bpm	104	0	2	2	3	0	0	Ventricular rate during ECG measurement.	2015-09-02T00:00:00	2023-03-08T00:00:00	58330	62586	150	1	1	1
12338	P duration	0	2	0	11	0	0	0	1	0	0	ms	104	0	2	2	3	0	0	P duration during ECG	2015-09-02T00:00:00	2023-03-08T00:00:00	55327	59305	160	1	1	1
12340	QRS duration	0	2	0	11	0	0	0	1	0	0	ms	104	0	2	2	3	0	0	QRS duration during ECG measurement	2015-09-02T00:00:00	2023-03-08T00:00:00	58322	62576	200	1	1	1
12624	Identifier for blood pressure device	0	2	0	41	0	0	0	1	0	0		102	0	2	2	3	0	0	Identifier for blood pressure device	2015-09-02T00:00:00	2023-03-08T00:00:00	64421	69790	180	1	1	1
12651	Duration of eprime test	0	2	0	11	0	0	0	1	0	0	seconds	106	0	2	2	3	0	0	This is the length of time that the eprime test was administered for.	2015-09-02T00:00:00	2023-03-08T00:00:00	52829	57265	210	1	1	1
12652	Reason brain MRI not performed	7	2	1	41	0	0	0	1	0	0		100	0	2	2	3	0	0	.	2015-09-02T00:00:00	2023-03-07T00:00:00	1932	1932	140	1	1	1
12653	ECG automated diagnoses	0	2	0	41	0	0	0	1	1	0		104	0	2	2	3	0	14	ECG automated diagnoses	2015-09-02T00:00:00	2023-03-08T00:00:00	57982	350241	120	1	1	1
12654	Number of automated diagnostic comments recorded during 12-lead ECG	0	2	0	11	0	0	0	1	0	0		104	0	2	2	3	0	0	.	2015-09-02T00:00:00	2023-03-08T00:00:00	57982	61662	140	1	1	1
12657	Suspicious flag for 12-lead ECG	0	2	0	11	0	0	2	1	0	0		104	0	2	2	2	0	0	A value of zero indicates that no process warnings were raised by the automated device during the measurement.	2015-09-02T00:00:00	2015-09-02T00:00:00	1876	1876	110	1	1	1
12658	Identifier for 12-lead ECG device	0	2	0	41	0	0	0	1	0	0		104	0	2	2	3	0	0	Identifier for 12-lead ECG device. An empty value may be recorded in some cases for participants who did not attempt the measurment,	2015-09-02T00:00:00	2023-03-08T00:00:00	65090	70301	270	1	1	1
12663	Reason believed unsafe to perform brain MRI	7	2	1	41	0	0	0	1	0	0		100	0	2	2	3	0	0	.	2015-09-02T00:00:00	2023-03-07T00:00:00	1531	1532	130	1	1	1
12671	PWA start time	0	2	0	41	0	0	2	1	1	0		128	0	2	2	3	0	4	Vicorder result examination date	2015-09-02T00:00:00	2023-03-08T00:00:00	55652	119362	290	1	1	1
12673	Heart rate during PWA	0	2	0	11	0	0	0	1	1	0	bpm	128	0	2	2	3	0	4	Heart rate recorded during vicorder run.	2015-09-02T00:00:00	2023-03-08T00:00:00	55634	119187	210	1	1	1
12674	Systolic brachial blood pressure during PWA	0	2	0	11	0	0	0	1	1	0	mmHg	128	0	2	2	3	0	4	Systolic brachial blood pressure during PWA	2015-09-02T00:00:00	2023-03-08T00:00:00	55394	117613	270	1	1	1
12675	Diastolic brachial blood pressure during PWA	0	2	0	11	0	0	0	1	1	0	mmHg	128	0	2	2	3	0	4	Diastolic brachial blood pressure during PWA	2015-09-02T00:00:00	2023-03-08T00:00:00	55394	117613	180	1	1	1
12676	Peripheral pulse pressure during PWA	0	2	0	11	0	0	0	1	1	0	mmHg	128	0	2	2	3	0	4	Peripheral pulse pressure during PWA	2015-09-02T00:00:00	2023-03-08T00:00:00	55382	117550	240	1	1	1
12677	Central systolic blood pressure during PWA	0	2	0	11	0	0	0	1	1	0	mmHg	128	0	2	2	3	0	4	Central systolic blood pressure during PWA	2015-09-02T00:00:00	2023-03-08T00:00:00	55385	117561	160	1	1	1
12678	Central pulse pressure during PWA	0	2	0	11	0	0	0	1	1	0	mmHg	128	0	2	2	3	0	4	Central pulse pressure during PWA	2015-09-02T00:00:00	2023-03-08T00:00:00	55382	117550	150	1	1	1
12679	Number of beats in waveform average for PWA	0	2	0	31	0	0	0	1	1	0	beats	128	0	2	2	3	0	4	Number of beats in waveform average for PWA	2015-09-02T00:00:00	2023-03-08T00:00:00	55644	119307	230	1	1	1
12680	Central augmentation pressure during PWA	0	2	0	31	0	0	0	1	1	0	mmHg	128	0	2	2	3	0	4	Central augmentation pressure during PWA	2015-09-02T00:00:00	2023-03-08T00:00:00	55375	117390	140	1	1	1
12681	Augmentation index for PWA	0	2	0	31	0	0	3	1	1	0	percent	128	0	2	2	3	0	4	Augmentation index for PWA. Defined as <br> <i>Central augmentation pressure</i> / <i>peripheral pulse pressure</i> <br>with result expressed as percentage.	2015-09-02T00:00:00	2023-03-08T00:00:00	55636	119145	100	1	1	1
12682	Cardiac output during PWA	0	2	0	31	0	0	0	1	1	0	litres/min	128	0	2	2	3	0	4	Cardiac output during PWA	2015-09-02T00:00:00	2023-03-08T00:00:00	54496	113071	130	1	1	1
12683	End systolic pressure during PWA	0	2	0	31	0	0	0	1	1	0	mmHg	128	0	2	2	3	0	4	End systolic pressure during PWA	2015-09-02T00:00:00	2023-03-08T00:00:00	55286	117329	190	1	1	1
12684	End systolic pressure index during PWA	0	2	0	31	0	0	0	1	1	0		128	0	2	2	3	0	4	End systolic pressure index during PWA. Defined as <br><i>end systolic pressure</i> / <i>peripheral pulse pressure</i> <br>	2015-09-02T00:00:00	2023-03-08T00:00:00	54460	113083	200	1	1	1
12685	Total peripheral resistance during PWA	0	2	0	31	0	0	0	1	1	0	PRU	128	0	2	2	3	0	4	Total peripheral resistance during PWA	2015-09-02T00:00:00	2023-03-08T00:00:00	55285	117299	280	1	1	1
12686	Stroke volume during PWA	0	2	0	11	0	0	0	1	1	0	mL	128	0	2	2	3	0	4	Stroke volume during PWA	2015-09-02T00:00:00	2023-03-08T00:00:00	54502	113147	250	1	1	1
12687	Mean arterial pressure during PWA	0	2	0	11	0	0	0	1	1	0	mmHg	128	0	2	2	3	0	4	Mean arterial pressure during PWA. Measured from the area under the aortic waveform.	2015-09-02T00:00:00	2023-03-08T00:00:00	55385	117561	220	1	1	1
12688	Vicorder trace	0	2	0	101	0	0	2	1	0	0		128	0	2	2	3	0	0	This is the raw data output from the Vicorder device. It is not intended for use by anyone other than researchers with detailed knowledge of the specific device characteristics and properties.	2018-05-14T00:00:00	2023-03-08T00:00:00	55924	60186	320	1	1	1
12695	Blood pressure test start time	0	2	0	41	0	0	2	1	0	0		128	0	2	2	3	0	0	Blood pressure test start time	2015-09-02T00:00:00	2023-03-08T00:00:00	55766	60015	110	1	1	1
12697	Systolic brachial blood pressure	0	2	0	11	0	0	0	1	0	0	mmHg	128	0	2	2	3	0	0	Systolic brachial blood pressure during blood pressure test.	2015-09-02T00:00:00	2023-03-08T00:00:00	55757	60005	260	1	1	1
12698	Diastolic brachial blood pressure	0	2	0	11	0	0	0	1	0	0	mmHg	128	0	2	2	3	0	0	Diastolic brachial blood pressure during blood pressure test.	2015-09-02T00:00:00	2023-03-08T00:00:00	55759	60007	170	1	1	1
12699	Number of PWA tests performed	0	2	0	11	0	0	0	1	0	0	tests	128	0	2	2	3	0	0	Number of PWA tests performed during vicorder run.	2015-09-02T00:00:00	2023-03-08T00:00:00	55919	60181	300	1	1	1
12700	Vicorder results plausible	0	2	0	21	11	0	0	1	0	0		128	7	2	2	3	0	0	Flag indication whether vicorder results are plausible. The results are marked as plausible if the raw csv data is present in the output datastream, and the data for the first PWA test contains values for the Aortic Pulse Pressure and the Augmentation Index.	2015-09-02T00:00:00	2023-03-08T00:00:00	55919	60181	310	1	1	1
12702	Cardiac index during PWA	0	2	0	31	0	0	0	1	1	0	litres/min/m2	128	0	2	2	3	0	4	Cardiac index during PWA. Defined as <br> <i>cardiac output</i> / <i>body surface area</i>	2015-09-02T00:00:00	2023-03-08T00:00:00	51334	106630	120	1	1	1
12704	Reason brain MRI not completed	7	2	1	41	0	0	0	1	0	0		100	0	2	2	3	0	0	.	2015-09-02T00:00:00	2023-03-07T00:00:00	10869	10937	150	1	1	1
12706	Eprime error flag	0	2	0	21	11	0	3	1	0	0		106	100699	2	2	3	0	0	The Eprime test was run on a separate computer to the ICE system. This flag indicates occasions when the ICE computer detected a problem with the remote Eprime system resulting in either partial or no datasets being returned.	2015-09-10T00:00:00	2023-03-08T00:00:00	574	574	220	1	1	1
20001	Cancer code, self-reported	0	0	0	22	11	0	3	1	1	0		100074	3	2	0	3	0	5	Code for cancer. If the participant was uncertain of the type of cancer they had had, then they described it to the interviewer (a trained nurse) who attempted to place it within the coding tree. If the cancer could not be located in the coding tree then the interviewer entered a free-text description of it. These free-text descriptions were subsequently examined by a doctor and, where possible, matched to entries in the coding tree. Free-text descriptions which could not be matched with very high probability have been marked as "unclassifiable".	2012-01-12T00:00:00	2023-03-08T00:00:00	47225	56024	0	1	1	1
20002	Non-cancer illness code, self-reported	0	0	0	22	11	0	3	1	1	0		100074	6	2	0	3	0	33	Code for non-cancer illness. If the participant was uncertain of the type of illness they had had, then they described it to the interviewer (a trained nurse) who attempted to place it within the coding tree. If the illness could not be located in the coding tree then the interviewer entered a free-text description of it. These free-text descriptions were subsequently examined by a doctor and, where possible, matched to entries in the coding tree. Free-text descriptions which could not be matched with very high probability have been marked as "unclassifiable". <p> Note that myasthenia gravis appears twice (under codes 1260 and 1437). Please ensure you use both codes to capture all relevant diagnoses.	2012-01-12T00:00:00	2023-03-08T00:00:00	390406	1212253	0	1	1	1
20003	Treatment/medication code	0	0	0	22	11	0	0	1	1	0		100075	4	2	0	3	0	47	Code for treatment<p>Negative codes indicate free-text entry.	2012-01-12T00:00:00	2023-03-08T00:00:00	375554	1415406	120	1	1	1
20004	Operation code	0	0	0	22	11	0	3	1	1	0		100076	5	2	0	3	0	31	Code for operation. If the participant was uncertain of the type of operation they had undergone, then they described it to the interviewer (a trained nurse) who attempted to place it within the coding tree. If the operation could not be located in the coding tree then the interviewer entered a free-text description of it. These free-text descriptions were subsequently examined by a doctor and, where possible, matched to entries in the coding tree. Free-text descriptions which could not be matched with very high probability have been marked as "unclassifiable".	2012-01-12T00:00:00	2023-03-08T00:00:00	401229	1030892	0	1	1	1
20005	Email access	0	3	0	21	11	0	3	0	0	0		2	1007	0	0	0	0	0	This field indicates how many participants have access to email as deduced from their supplying an email address to UK Biobank.<p>A participant is flagged as having an Unusable address if any of the following are true:<br><ul> <li>The email address held is syntactically incorrect.</li> <li>A bounce-back failure message was received during a newsletter or other mailing to the address from UK Biobank.</li> <li>The participant has asked for their email address to be withdrawn or deleted.</li></ul><p>Note that the actual email addresses are treated with utmost confidentiality by UK Biobank and will not be made available to researchers.	2012-02-13T00:00:00	2012-02-13T00:00:00	317645	317645	120	1	1	1
20006	Interpolated Year when cancer first diagnosed	0	0	0	31	0	0	0	1	1	0	years	100074	13	2	0	3	0	5	This is the interpolated time when the participant indicated the corresponding cancer was first diagnosed by a doctor, measured in years. <ul> <li>If the participant gave a calendar year, then the best-fit time is half-way through that year. For example if the year was given as 1970, then the value presented is 1970.5</li> <li>If the participant gave their age then the value presented is the fractional year corresponding to the mid-point of that age. For example, if the participant said they were 30 years old then the value is the date at which they were 30years+6months. <li>Interpolated values before the date of birth were truncated forwards to that time.</li> <li>Interpolated values after the time of data acquisition were truncated back to that time.</li> </ul>	2012-02-17T00:00:00	2023-03-08T00:00:00	47225	56024	0	1	1	1
20007	Interpolated Age of participant when cancer first diagnosed	0	0	0	31	0	0	0	1	1	0	years	100074	13	2	0	3	0	5	This is the interpolated time when the participant indicated the corresponding cancer was first diagnosed by a doctor, given as their estimated age. <ul> <li>If the participant gave a calendar year, then the best-fit time is their age at the mid-point of that year. For example if the year was given as 1970, and the participant was born on 1 April 1950, then their age on 1st July 1970 is 20.25</li> then the value presented is 1970.5</li> <li>If the participant gave their age then the value presented is the fractional year corresponding to the mid-point of that age. For example, if the participant said they were 30 years old then the value is 30.5 <li>Interpolated values before the date of birth were truncated forwards to that time.</li> <li>Interpolated values after the time of data acquisition were truncated back to that time.</li> </ul>	2012-02-17T00:00:00	2023-03-08T00:00:00	47225	56024	0	1	1	1
20008	Interpolated Year when non-cancer illness first diagnosed	0	0	0	31	0	0	0	1	1	0	years	100074	13	2	0	3	0	33	This is the interpolated time when the participant indicated the corresponding condition was first diagnosed by a doctor, measured in years. <ul> <li>If the participant gave a calendar year, then the best-fit time is half-way through that year. For example if the year was given as 1970, then the value presented is 1970.5</li> <li>If the participant gave their age then the value presented is the fractional year corresponding to the mid-point of that age. For example, if the participant said they were 30 years old then the value is the date at which they were 30years+6months. <li>Interpolated values before the date of birth were truncated forwards to that time.</li> <li>Interpolated values after the time of data acquisition were truncated back to that time.</li> </ul>	2012-02-17T00:00:00	2023-03-08T00:00:00	390406	1212240	0	1	1	1
20009	Interpolated Age of participant when non-cancer illness first diagnosed	0	0	0	31	0	0	0	1	1	0	years	100074	13	2	0	3	0	33	This is the interpolated time when the participant indicated the corresponding condition was first diagnosed by a doctor, given as their estimated age. <ul> <li>If the participant gave a calendar year, then the best-fit time is their age at the mid-point of that year. For example if the year was given as 1970, and the participant was born on 1 April 1950, then their age on 1st July 1970 is 20.25</li> then the value presented is 1970.5</li> <li>If the participant gave their age then the value presented is the fractional year corresponding to the mid-point of that age. For example, if the participant said they were 30 years old then the value is 30.5 <li>Interpolated values before the date of birth were truncated forwards to that time.</li> <li>Interpolated values after the time of data acquisition were truncated back to that time.</li> </ul>	2012-02-17T00:00:00	2023-03-08T00:00:00	390406	1212240	0	1	1	1
20010	Interpolated Year when operation took place	0	0	0	31	0	0	0	1	1	0	years	100076	13	2	0	3	0	31	This is the year when the participant indicated the operation took place.	2012-02-17T00:00:00	2023-03-08T00:00:00	401228	1030889	0	1	1	1
20011	Interpolated Age of participant when operation took place	0	0	0	31	0	0	0	1	1	0	years	100076	13	2	0	3	0	31	This is the age participant indicated they were when the corresponding operation took place.	2012-02-17T00:00:00	2023-03-08T00:00:00	401228	1030889	0	1	1	1
20012	Method of recording time when cancer first diagnosed	0	0	0	21	11	0	0	1	1	0		100074	14	2	0	3	0	5	Participants were able to record the time the cancer was diagnosed by entering either their age or the year. Some participants recorded an event but were unable to recall the time.	2012-02-20T00:00:00	2023-03-08T00:00:00	47225	56024	0	1	1	1
20013	Method of recording time when non-cancer illness first diagnosed	0	0	0	21	11	0	0	1	1	0		100074	14	2	0	3	0	33	Participants were able to record the time the non-cancer illness was diagnosed by entering either their age or the year. Some participants recorded an event but were unable to recall the time.	2012-02-20T00:00:00	2023-03-08T00:00:00	390407	1212254	0	1	1	1
20014	Method of recording time when operation occurred	0	0	0	21	11	0	0	1	1	0		100076	14	2	0	3	0	31	Participants were able to record the time the operation took place by entering either their age or the year. Some participants recorded an operation but were unable to recall the time.	2012-02-20T00:00:00	2023-03-08T00:00:00	401230	1030893	0	1	1	1
20015	Sitting height	0	0	0	31	0	0	3	1	0	0	cm	100010	0	2	0	3	0	0	Distance from rump to crown when sitting, calculated as the difference between ~F51~ and ~F3077~.	2012-03-01T00:00:00	2023-03-08T00:00:00	497226	585288	7	1	1	1
20016	Fluid intelligence score	0	0	0	11	0	0	3	1	0	0	correct-answers	100027	0	2	0	3	0	0	This is a simple unweighted sum of the number of correct answers given to the 13 fluid intelligence questions. Participants who did not answer all of the questions within the allotted 2 minute limit are scored as zero for each of the unattempted questions.	2012-03-28T00:00:00	2023-03-08T00:00:00	215112	250817	0	1	1	1
20018	Prospective memory result	0	0	0	21	11	0	3	1	0	0		100031	18	2	0	3	0	0	This field condenses the results of the prospective memory test into 3 groups. It does not distinguish between people who, at the first attempt, followed the on-screen instruction (thereby giving an incorrect result) and people who remembered to ignore the instruction but did not correctly recall what to do instead. Please see the constituent parts ~F4292~ and ~F4293~ if additional detail is required.	2012-07-02T00:00:00	2023-03-08T00:00:00	221787	258226	0	1	1	1
20019	Speech-reception-threshold (SRT) estimate (left)	0	0	0	31	0	0	3	1	0	0		100049	0	2	0	3	0	0	SRT is the Speech Reception Threshold, defined here as the signal-to-noise ratio at which half of the presented speech can be understood correctly. This was estimated as the value of the last round of the signal-to-noise ratio measurement for participants who completed all 15 rounds of the test (left-ear).	2012-08-08T00:00:00	2023-03-08T00:00:00	214396	250675	110	1	1	1
20021	Speech-reception-threshold (SRT) estimate (right)	0	0	0	31	0	0	3	1	0	0		100049	0	2	0	3	0	0	SRT is the Speech Reception Threshold, defined here as the signal-to-noise ratio at which half of the presented speech can be understood correctly. This was estimated as the value of the last round of the signal-to-noise ratio measurement for participants who completed all 15 rounds of the test (right-ear).	2012-08-08T00:00:00	2023-03-08T00:00:00	214402	250714	120	1	1	1
20022	Birth weight	0	0	0	31	0	0	3	1	0	0	Kg	100072	0	2	0	2	0	0	Participants were asked to enter their own birth-weight. <p>The weight could be entered either in Kg or in Imperial pounds+ounces. Values entered as Imperial units are held in ~F121~ and ~F122~, and their values have been converted into Kg and incorporated into this field. <br><br>This question was dropped from the touchscreen protocol on 24/10/2016.	2012-08-17T00:00:00	2022-03-14T00:00:00	280174	293351	100	1	1	1
20023	Mean time to correctly identify matches	0	0	0	11	0	0	3	1	0	0	milliseconds	100032	0	2	0	3	0	0	This field is the mean duration to first press of snap-button summed over rounds in which both cards matched. It gives a crude measure of the raw processing+reaction speed of a participant. <p> The following data points were excluded when forming the average: <ul><li>Rounds 0-4 were regarded as "training";</li> <li>Times under 50ms must be due to anticipation rather than reaction;</li> <li>Times over 2000ms were ignored as the cards had disappeared by then.</li> </ul><p> Values were rounded to the nearest whole number.	2013-06-06T00:00:00	2023-03-08T00:00:00	496753	582774	0	1	1	1
20024	Job code at visit - deduced	4	0	0	21	11	0	3	1	0	0		100073	2	2	0	0	0	0	These are the SOC scores generated by running the CASCOT program on the free text job codes. <br><br> This information is regarded as restricted and will be supplied to researchers only when absolutely necessary. Please use data field 20277 which is the unrestricted version of this data field. <br><br>See also the Related Data-Fields tab below for other unrestricted alternatives	2013-06-07T00:00:00	2013-06-07T00:00:00	14546	14546	0	1	1	1
20025	Time saliva sample collected	0	0	0	61	0	0	2	1	0	0		100096	0	2	0	0	0	0	This was the time that the operator scanned the barcode of the container for the saliva sample.	2012-01-05T00:00:00	2012-03-23T00:00:00	120098	120098	0	1	1	1
20031	Acceptability of each blow result (text)	0	0	0	41	0	0	3	1	1	0		100020	0	2	0	3	0	2	This field presents the data regarding the acceptability of spirometry results as a series of none-or-more text flags for researchers unable to work directly with the raw bit-field information in ~F3061~. The text flags are as follows: <p>START Present if the extrapolated volume at start of test is excessive<br>EXPFLOW Present if time to peak flow is excessive<br>END Present if an adequate plateau at the end of the test does not exist<br>COUGH Present if a cough was detected during the manovoure<br>BELOW6SEC Set if the test is less that 6 seconds<br>ACCEPT Present if the test was explicitly acceped by the investigator<br>REJECT Present if the test was explicitly rejected by the investigator. <p>Bit-field values of 0 are not translated into strings since they correspond to a blow with no flags set.	2012-08-24T00:00:00	2020-03-20T00:00:00	296055	604663	100	1	1	1
20032	Acceptability of each blow result (text) (pilot)	0	0	0	41	0	0	3	1	1	0		100020	0	2	0	0	1	4	This field presents the data regarding the acceptability of spirometry results as a series of none-or-more text flags for researchers unable to work directly with the raw bit-field information in ~F10693~. The text flags are as follows: <p>START Present if the extrapolated volume at start of test is excessive<br>EXPFLOW Present if time to peak flow is excessive<br>END Present if an adequate plateau at the end of the test does not exist<br>COUGH Present if a cough was detected during the manovoure<br>BELOW6SEC Set if the test is less than 6 seconds<br>ACCEPT Present if the test was explicitly acceped by the investigator<br>REJECT Present if the test was explicitly rejected by the investigator. <p>Bit-field values of 0 are not translated into strings since they correspond to a blow with no flags set.	2012-08-25T00:00:00	2012-08-25T00:00:00	2651	6504	120	1	1	1
20033	Home location at assessment - east co-ordinate (100m resolution)	4	0	1	11	0	0	3	1	0	0	metre-grid	100024	0	2	0	3	0	0	This location information is based on the postcode for the address to which the participants invitation was sent. If the participant updated their home address during their assessment centre visit, then that postcode was used as the source instead. <p> The location co-ordinates use the Ordnance Survey (OSGB) reference. This East co-ordinate needs to be used in conjunction with the North co-ordinate in ~F20034~. <p> These grid co-ordinates (to a 100m accuracy) will only be released following special approval. For most purposes, grid co-ordinates rounded to a 1Km distance will provide sufficient information on location of residence at assessment. These rounded values are found in ~F20074~ and ~F20075~.	2012-08-28T00:00:00	2022-12-16T00:00:00	497834	550740	140	1	1	1
20034	Home location at assessment - north co-ordinate (100m resolution)	4	0	1	11	0	0	3	1	0	0	metre-grid	100024	0	2	0	3	0	0	This location information is based on the postcode for the address to which the participants invitation was sent. If the participant updated their home address during their assessment centre visit, then that postcode was used as the source instead. <p> The location co-ordinates use the Ordnance Survey (OSGB) reference. This North co-ordinate needs to be used in conjunction with the East co-ordinate in ~F20033~. <p> These grid co-ordinates (to a 100m accuracy) will only be released following special approval. For most purposes, grid co-ordinates rounded to a 1Km distance will provide sufficient information on location of residence at assessment. These rounded values are found in ~F20074~ and ~F20075~.	2012-08-28T00:00:00	2022-12-16T00:00:00	497834	550740	160	1	1	1
20035	Time urine sample collected	0	0	0	61	0	0	2	1	0	0		100095	0	2	0	0	0	0	This was the time that the operator scanned the barcode of the container for the urine sample.	2012-01-05T00:00:00	2012-03-23T00:00:00	494644	494644	0	1	1	1
20041	Reason for skipping weight	0	0	0	21	11	0	3	1	0	0		100010	47	2	0	0	0	0	Reason weight measurement was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21T00:00:00	2012-10-09T00:00:00	1044	1044	-0.1000000014901161	1	1	1
20042	Reason for skipping spirometry	0	0	0	21	11	0	3	1	0	0		100020	47	2	0	0	0	0	Reason spirometry measurement was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21T00:00:00	2012-10-09T00:00:00	2013	2013	110	1	1	1
20043	Reason for skipping grip strength (right)	0	0	0	21	11	0	3	1	0	0		100019	47	2	0	0	0	0	Reason hand grip strength measurement (right hand) was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21T00:00:00	2013-05-23T00:00:00	1628	1628	0.4000000059604645	1	1	1
20044	Reason for skipping grip strength (left)	0	0	0	21	11	0	3	1	0	0		100019	47	2	0	0	0	0	Reason hand grip strength measurement (left hand) was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21T00:00:00	2012-10-09T00:00:00	1695	1695	-0.1000000014901161	1	1	1
20045	Reason for skipping waist	0	0	0	21	11	0	3	1	0	0		100010	47	2	0	0	0	0	Reason waist measurement was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21T00:00:00	2012-10-09T00:00:00	445	445	-0.1000000014901161	1	1	1
20046	Reason for skipping hip measurement	0	0	0	21	11	0	3	1	0	0		100010	47	2	0	0	0	0	Reason hip measurement was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21T00:00:00	2012-10-09T00:00:00	504	504	-0.1000000014901161	1	1	1
20047	Reason for skipping standing height	0	0	0	21	11	0	3	1	0	0		100010	47	2	0	0	0	0	Reason standing height measurement was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21T00:00:00	2012-10-09T00:00:00	823	823	-0.1000000014901161	1	1	1
20048	Reason for skipping sitting height	0	0	0	21	11	0	3	1	0	0		100010	47	2	0	0	0	0	Reason sitting height measurement was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21T00:00:00	2012-10-09T00:00:00	843	843	-0.1000000014901161	1	1	1
20049	Blood sample #, note contents	0	0	0	21	11	0	3	1	1	0		100002	49	2	0	0	0	6	Notes relating to blood sample #, particularly why it was not collected.<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21T00:00:00	2012-08-21T00:00:00	11384	34915	-0.1000000014901161	1	1	1
20050	Reason blood sampling not attempted	0	0	0	21	11	0	3	1	0	0		100002	50	2	0	0	0	0	Reason blood sampling was not attempting (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21T00:00:00	2012-08-21T00:00:00	1582	1582	-0.1000000014901161	1	1	1
20051	Reason for skipping arterial stiffness	0	0	0	21	11	0	3	1	0	0		100007	51	2	0	0	0	0	Reason arterial stiffness measurement was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21T00:00:00	2012-08-21T00:00:00	930	930	-0.1000000014901161	1	1	1
20052	Reason for skipping refractometry (left)	0	0	0	21	11	0	3	1	0	0		100014	54	2	0	0	0	0	Reason refractometry measurement (left eye) was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21T00:00:00	2012-08-21T00:00:00	1520	1520	-0.1000000014901161	1	1	1
20053	Reason for skipping IOP (right)	0	0	0	21	11	0	3	1	0	0		100015	54	2	0	0	0	0	Reason intraocular pressure measurement (right eye) was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21T00:00:00	2012-08-21T00:00:00	2402	2402	0.4000000059604645	1	1	1
20054	Reason for skipping IOP (left)	0	0	0	21	11	0	3	1	0	0		100015	54	2	0	0	0	0	Reason intraocular pressure measurement (left eye) was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21T00:00:00	2012-08-21T00:00:00	2595	2595	-0.1000000014901161	1	1	1
20055	Reason for skipping refractometry (right)	0	0	0	21	11	0	3	1	0	0		100014	54	2	0	0	0	0	Reason refractometry measurement (right eye) was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21T00:00:00	2012-08-21T00:00:00	1398	1398	0.4000000059604645	1	1	1
20056	Reason for skipping visual acuity (right)	0	0	0	21	11	0	3	1	0	0		100017	56	2	0	0	0	0	Reason visual acuity measurement (right eye) was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21T00:00:00	2012-08-21T00:00:00	410	410	130	1	1	1
20057	Reason for skipping visual acuity (left)	0	0	0	21	11	0	3	1	0	0		100017	56	2	0	0	0	0	Reason visual acuity measurement (left eye) was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21T00:00:00	2012-08-21T00:00:00	449	449	100	1	1	1
20058	Reason for skipping ECG	0	0	0	21	11	0	3	1	0	0		100012	47	2	0	0	0	0	Reason ECG measurement was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21T00:00:00	2012-08-21T00:00:00	358	358	-0.1000000014901161	1	1	1
20059	Reason ECG not completed	0	0	0	21	11	0	3	1	0	0		100012	59	2	0	0	0	0	Reason ECG measurement was not completed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21T00:00:00	2012-08-21T00:00:00	262	262	-0.1000000014901161	1	1	1
20060	Reason at-rest ECG performed without bicycle	0	0	0	21	11	0	3	1	0	0		100012	60	2	0	0	0	0	Reason at-rest (i.e. without bike) ECG measurement was performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21T00:00:00	2012-08-21T00:00:00	942	942	-0.1000000014901161	1	1	1
20061	Reason for skipping OCT (right)	0	0	0	21	11	0	3	1	0	0		100016	54	2	0	0	0	0	Reason optical coherence tomography measurement (right eye) was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21T00:00:00	2012-08-21T00:00:00	3163	3163	150	1	1	1
20062	Reason for skipping OCT (left)	0	0	0	21	11	0	3	1	0	0		100016	54	2	0	0	0	0	Reason optical coherence tomography measurement (left eye) was not performed (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21T00:00:00	2012-08-21T00:00:00	3359	3359	140	1	1	1
20071	Reason no saliva sample collected	0	0	0	21	11	0	3	1	0	0		100096	71	2	0	0	0	0	Reason saliva sample was not collected (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21T00:00:00	2012-08-22T00:00:00	782	782	-0.1000000014901161	1	1	1
20072	Reason no urine sample collected	0	0	0	21	11	0	3	1	0	0		100095	71	2	0	0	0	0	Reason urine sample was not collected (entered as free-text by a UK Biobank Staff member).<p>This field was created by post-hoc coding the free-text reasons entered during the assessment centre visit. The encoding used was constructed after the data had been examined to determine suitable representative groupings.	2012-08-21T00:00:00	2012-08-22T00:00:00	3558	3558	-0.1000000014901161	1	1	1
20074	Home location at assessment - east co-ordinate (1km resolution)	4	0	1	11	0	0	3	1	0	0	metre-grid	100024	0	2	0	3	0	0	This location information is based on the postcode for the address to which the participants invitation was sent. If the participant updated their home address during their assessment centre visit, then that postcode was used as the source instead. <p> The location co-ordinates use the Ordnance Survey (OSGB) reference, rounded to the nearest Kilometre. This East co-ordinate needs to be used in conjunction with the North co-ordinate in ~F20075~. <p> For most purposes, grid co-ordinates rounded to a 1Km distance will provide sufficient information on location of residence at assessment. Research proposals that require location details to a finer level of granularity (i.e. 100m) should request ~F20033~ and ~F20034~, however special approval will be required to release the more detailed information.	2012-08-28T00:00:00	2022-12-18T00:00:00	497834	550740	150	1	1	1
20075	Home location at assessment - north co-ordinate (1km resolution)	4	0	1	11	0	0	3	1	0	0	metre-grid	100024	0	2	0	3	0	0	This location information is based on the postcode for the address to which the participants invitation was sent. If the participant updated their home address during their assessment centre visit, then that postcode was used as the source instead. <p> The location co-ordinates use the Ordnance Survey (OSGB) reference, rounded to the nearest Kilometre. This North co-ordinate needs to be used in conjunction with the East co-ordinate in ~F20074~. <p> For most purposes, grid co-ordinates rounded to a 1Km distance will provide sufficient information on location of residence at assessment. Research proposals that require location details to a finer level of granularity (i.e. 100m) should request ~F20033~ and ~F20034~, however special approval will be required to release the more detailed information.	2012-08-28T00:00:00	2022-12-18T00:00:00	497834	550740	170	1	1	1
20076	Treatment/medication READ-code	0	2	0	41	0	0	0	1	0	0		100075	0	2	0	0	0	0	READ-code for treatment. <p> The phrase "UKB" indicates free-text entry.	2015-06-17T00:00:00	2000-01-01T00:00:00	-1	-1	110	1	1	1
20077	Number of diet questionnaires completed	0	0	0	11	0	0	3	0	0	0		100114	0	0	0	0	0	0		2012-09-21T00:00:00	2012-09-22T00:00:00	210950	210950	6	1	1	1
20078	When diet questionnaire completion requested	0	0	0	51	0	0	0	1	0	0		100114	0	1	0	4	0	0	During the online phase participants were emailed an invitation to complete the questionnaire and asked to complete it the same day if possible. This email contained a weblink to the server hosting the system. <p> In the initial instance the questionnaire was presented at the end of the clinic visit so by necessity completion had to be on the same day.	2012-09-21T00:00:00	2012-09-24T00:00:00	210950	458454	9	1	1	1
20079	Day-of-week questionnaire completion requested	0	0	0	21	11	0	2	1	0	0		100114	73	1	0	4	0	0	During the online phase participants were emailed an invitation to complete the questionnaire and asked to complete it the same day if possible. This email contained a weblink to the server hosting the system.	2012-09-21T00:00:00	2012-10-01T00:00:00	210947	458451	2	1	1	1
20080	Day-of-week questionnaire completed	0	0	0	21	11	0	2	1	0	0		100114	73	1	0	4	0	0	This field holds the day of the week on which participants completed the questionnaire. Note that the data returned represents their recall of the previous day of the week.	2012-09-21T00:00:00	2012-10-01T00:00:00	210947	458451	1	1	1	1
20081	Hour-of-day questionnaire completed	0	0	0	11	0	0	2	1	0	0	hours	100114	0	1	0	4	0	0	This is the hour at which the diet questionnaire was completed. It is represented using the standard 24-hour clock whereby (e.g.) 14 represents the interval 2.00pm to 2.59pm inclusive.	2012-09-21T00:00:00	2012-09-23T00:00:00	210947	458451	5	1	1	1
20082	Duration of questionnaire	0	0	0	11	0	0	3	1	0	0	minutes	100114	0	1	0	4	0	0	This is the time participants took to complete the diet questionnaire as measured from initially connecting to the web-server to clicking the sign-off button on the final screen. Participants were able to stop and resume completing a questionnaire multiple times within the same day, and hence the longer times recorded are unlikely to indicate continuous use.	2012-09-21T00:00:00	2012-09-23T00:00:00	210947	458451	4	1	1	1
20083	Delay between questionnaire request and completion	0	0	0	11	0	0	3	1	0	0	days	100114	0	1	0	4	0	0	This field gives the number of whole days elapsed between a participant being requested to do the questionnaire and the time when they complete it. Note that within the clinic the questionnaire was always done at the same time as the request. In the first and second online instances participants were allowed 3 days after the invitation date to complete, and in the third and fourth online instances they were allowed 14 days after the invitation date to complete.	2012-09-24T00:00:00	2012-09-24T00:00:00	210947	458451	3	1	1	1
20084	Vitamin and/or mineral supplement use	0	0	0	22	11	0	3	1	1	0		100112	74	1	0	4	0	20	This field indicates the vitamin and/or mineral supplements that the participant indicated they consumed yesterday. The data is an amalgamation of 21 individual Yes/No answers which were asked if the participant indicated they consumed any supplements.	2012-09-24T00:00:00	2012-09-26T00:00:00	103814	451283	2	1	1	1
20085	Reason for not eating or drinking normally	0	0	0	22	11	0	3	1	1	0		100097	75	1	0	4	0	3	This field indicates the reason why the participant did not eat or drink normally yesterday. The data is an amalgamation of 4 individual Yes/No answers which were asked if the participant indicated they did not eat or drink normally.	2012-09-25T00:00:00	2012-09-26T00:00:00	67909	90401	3	1	1	1
20086	Type of special diet followed	0	0	0	22	11	0	3	1	1	0		100097	76	1	0	4	0	5	This field indicates whether the participant routinely follows a special diet. The data is an amalgamation of 4 individual Yes/No answers. <p> Some of the self-entered data regarding special diets is inconsistent with the actual food intake reported on the same occasion by participants. For instance, around a tenth of people indicating they followed a vegan diet also answered that they had eaten meat the prevous day.	2012-09-26T00:00:00	2012-09-26T00:00:00	58954	112121	5	1	1	1
20087	Types of spread used on bread/crackers	0	0	0	22	11	0	3	1	1	0		100101	77	1	0	4	0	12	This field indicates the type(s) of spread the participant used on bread or crackers yesterday. The data is an amalgamation of 8 individual Yes/No answers and 29 corresponding tick boxes which were asked if the participant indicated they used spread on bread or crackers.	2012-09-26T00:00:00	2012-09-26T00:00:00	161159	616895	35	1	1	1
20088	Types of spreads/sauces consumed	0	0	0	22	11	0	3	1	1	0		100110	78	1	0	4	0	16	This field indicates the type(s) of spreads or sauces the participant consumed yesterday. The data is an amalgamation of 19 individual Yes/No answers which were asked if the participant indicated they consumed any spreads or sauces.	2012-09-26T00:00:00	2012-09-26T00:00:00	145957	443290	2	1	1	1
20089	Type of meals eaten	0	0	0	22	11	0	3	1	1	0		100105	79	1	0	4	0	4	This field indicates the type(s) of meals the participant consumed yesterday. The data is an amalgamation of 5 individual Yes/No answers.	2012-09-26T00:00:00	2012-09-26T00:00:00	204871	523655	1	1	1	1
20090	Type of fat/oil used in cooking	0	0	0	22	11	0	3	1	1	0		100110	80	1	0	4	0	23	This field indicates the type(s) of fats or oils the participant used when cooking yesterday. The data is an amalgamation of 16 individual Yes/No answers and 29 corresponding tick boxes.	2012-09-26T00:00:00	2012-09-26T00:00:00	191457	594579	5	1	1	1
20091	Type of sliced bread eaten	0	0	0	22	11	0	3	1	1	0		100101	81	1	0	4	0	4	This field indicates the type(s) of sliced bread the participant consumed yesterday. The data is an amalgamation of 5 individual tick boxes which were asked if the participant indicated they consumed sliced bread.	2012-09-27T00:00:00	2012-09-27T00:00:00	159356	350185	3	1	1	1
20092	Type of baguette eaten	0	0	0	22	11	0	3	1	1	0		100101	81	1	0	4	0	4	This field indicates the type(s) of baguette the participant consumed yesterday. The data is an amalgamation of 5 individual tick boxes which were asked if the participant indicated they consumed baguette.	2012-09-27T00:00:00	2012-09-27T00:00:00	36153	46765	6	1	1	1
20093	Type of large bap eaten	0	0	0	22	11	0	3	1	1	0		100101	81	1	0	4	0	3	This field indicates the type(s) of large bap the participant consumed yesterday. The data is an amalgamation of 5 individual tick boxes which were asked if the participant indicated they consumed large bap.	2012-09-27T00:00:00	2012-09-27T00:00:00	14398	17345	9	1	1	1
20094	Type of bread roll eaten	0	0	0	22	11	0	3	1	1	0		100101	81	1	0	4	0	4	This field indicates the type(s) of bread roll the participant consumed yesterday. The data is an amalgamation of 5 individual tick boxes which were asked if the participant indicated they consumed bread roll.	2012-09-27T00:00:00	2012-09-27T00:00:00	54571	79078	12	1	1	1
20095	Size of white wine glass drunk	0	0	0	22	11	0	3	1	1	0		100100	82	1	0	4	0	2	This field indicates the size(s) of white wine glass the participant consumed yesterday. The data is an amalgamation of 3 individual tick boxes which were asked if the participant indicated they consumed white wine.	2012-09-27T00:00:00	2012-09-27T00:00:00	47025	65467	7	1	1	1
20096	Size of red wine glass drunk	0	0	0	22	11	0	3	1	1	0		100100	82	1	0	4	0	1	This field indicates the size(s) of red wine glass the participant consumed yesterday. The data is an amalgamation of 3 individual tick boxes which were asked if the participant indicated they consumed red wine.	2012-09-27T00:00:00	2012-09-27T00:00:00	59433	87721	3	1	1	1
20097	Size of rose wine glass drunk	0	0	0	22	11	0	3	1	1	0		100100	82	1	0	4	0	1	This field indicates the size(s) of rose wine glass the participant consumed yesterday. The data is an amalgamation of 3 individual tick boxes which were asked if the participant indicated they consumed rose wine.	2012-09-27T00:00:00	2012-09-27T00:00:00	10884	12433	5	1	1	1
20098	Thickness of butter/margarine spread on sliced bread	0	0	0	22	11	0	3	1	1	0		100101	83	1	0	4	0	2	This field indicates the thickness(es) the participant spread butter or margarine on to sliced bread yesterday. The data is an amalgamation of 3 individual tick boxes which were asked if the participant indicated they spread butter or margarine on to sliced bread.	2012-09-28T00:00:00	2012-09-28T00:00:00	116382	181248	22	1	1	1
20099	Thickness of butter/margarine spread on baguettes	0	0	0	22	11	0	3	1	1	0		100101	83	1	0	4	0	1	This field indicates the thickness(es) the participant spread butter or margarine on to baguettes yesterday. The data is an amalgamation of 3 individual tick boxes which were asked if the participant indicated they spread butter or margarine on to baguettes.	2012-09-28T00:00:00	2012-09-28T00:00:00	18453	20313	24	1	1	1
20100	Thickness of butter/margarine spread on large baps	0	0	0	22	11	0	3	1	1	0		100101	83	1	0	4	0	1	This field indicates the thickness(es) the participant spread butter or margarine on to large baps yesterday. The data is an amalgamation of 3 individual tick boxes which were asked if the participant indicated they spread butter or margarine on to large baps.	2012-09-28T00:00:00	2012-09-28T00:00:00	5630	5977	26	1	1	1
20101	Thickness of butter/margarine spread on bread rolls	0	0	0	22	11	0	3	1	1	0		100101	83	1	0	4	0	1	This field indicates the thickness(es) the participant spread butter or margarine on to bread rolls yesterday. The data is an amalgamation of 3 individual tick boxes which were asked if the participant indicated they spread butter or margarine on to bread rolls.	2012-09-28T00:00:00	2012-09-28T00:00:00	32217	38318	28	1	1	1
20102	Thickness of butter/margarine spread on crackers/crispbreads	0	0	0	22	11	0	3	1	1	0		100101	83	1	0	4	0	1	This field indicates the thickness(es) the participant spread butter or margarine on to crackers or crispbreads yesterday. The data is an amalgamation of 3 individual tick boxes which were asked if the participant indicated they spread butter or margarine on to crackers or crispbreads.	2012-09-28T00:00:00	2012-09-28T00:00:00	14781	17717	30	1	1	1
20103	Thickness of butter/margarine spread on oatcakes	0	0	0	22	11	0	3	1	1	0		100101	83	1	0	4	0	1	This field indicates the thickness(es) the participant spread butter or margarine on to oatcakes yesterday. The data is an amalgamation of 3 individual tick boxes which were asked if the participant indicated they spread butter or margarine on to oatcakes.	2012-09-28T00:00:00	2012-09-28T00:00:00	3479	4080	32	1	1	1
20104	Thickness of butter/margarine spread on other bread	0	0	0	22	11	0	3	1	1	0		100101	83	1	0	4	0	1	This field indicates the thickness(es) the participant spread butter or margarine on to other breads yesterday. The data is an amalgamation of 3 individual tick boxes which were asked if the participant indicated they spread butter or margarine on to other breads.	2012-09-28T00:00:00	2012-09-28T00:00:00	10027	10950	34	1	1	1
20105	Liquid used to make porridge	0	0	0	22	11	0	3	1	1	0		100102	84	1	0	4	0	1	This field indicates the liquid(s) the participant used to make porridge yesterday. The data is an amalgamation of 2 individual tick boxes which were asked if the participant indicated they consumed porridge.	2012-09-28T00:00:00	2012-09-28T00:00:00	47506	78882	3	1	1	1
20106	Type of yogurt eaten	0	0	0	22	11	0	3	1	1	0		100109	85	1	0	4	0	1	This field indicates the type(s) of yoghurt the participant consumed yesterday. The data is an amalgamation of 2 individual tick boxes which were asked if the participant indicated they consumed yoghurt.	2012-09-28T00:00:00	2012-09-28T00:00:00	89378	137688	14	1	1	1
20107	Illnesses of father	0	0	0	22	11	0	0	1	1	0		100034	1010	2	0	3	0	9	This field contains the combined results of 2 ACE touchscreen questions, both asked "Has/did your father ever suffer from? (You can select more than one answer)" for different sets of illnesses. For convenience, the illnesses were arbitrarily divided into two sets: <p> <ul> <li>Group 1 : Heart disease, Stroke, High blood pressure, Chronic bronchitis/emphysema, Alzheimer's disease/dementia, Diabetes.</li> <li>Group 2 : Parkinson's disease, Severe Depression, Lung cancer, Bowel cancer, Prostate cancer.</li> </ul> <p>If any of codes -11, -13 or -17 were selected then no additional Group 1 choices were allowed. If any of codes -21, -23 or -27 were selected then no additional Group 2 choices were allowed. <p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Answer this question for blood relations only. If you are not sure if your father suffered from any of the listed illnesses please select Do not know. If you know your father suffered from certain listed illnesses but are unsure about others, only select the ones you are sure about.<br></i></td></tr></table><p>The information was collected from participants who indicated they were not adopted as a child, as defined by their answers to ~F1767~ and who indicated whether their natural father was still alive or had died, as defined by their answers to ~F1797~.<p>Note that although Breast cancer is present in ~C1010~, participants were not presented with this option when selecting Father illnesses.	2012-10-05T00:00:00	2023-03-08T00:00:00	488052	1264704	0	1	1	1
20108	Ingredients in canned soup	0	0	0	22	11	0	3	1	1	0		100109	86	1	0	4	0	4	This field indicates the ingredients in canned soup the participant consumed yesterday. The data is an amalgamation of 5 individual tick boxes which were asked if the participant indicated they consumed canned soup.	2012-10-08T00:00:00	2012-10-08T00:00:00	19941	24188	58	1	1	1
20109	Ingredients in homemade soup	0	0	0	22	11	0	3	1	1	0		100109	86	1	0	4	0	5	This field indicates the ingredients in homemade soup the participant consumed yesterday. The data is an amalgamation of 5 individual tick boxes which were asked if the participant indicated they consumed homemade soup.	2012-10-08T00:00:00	2012-10-08T00:00:00	32718	45269	61	1	1	1
20110	Illnesses of mother	0	0	0	22	11	0	0	1	1	0		100034	1010	2	0	3	0	10	This field contains the combined results of 2 ACE touchscreen questions, both asked "Has/did your mother ever suffer from? (You can select more than one answer)" for different sets of illnesses. For convenience, the illnesses were arbitrarily divided into two sets: <p> <ul> <li>Group 1 : Heart disease, Stroke, High blood pressure, Chronic bronchitis/emphysema, Alzheimer's disease/dementia, Diabetes.</li> <li>Group 2 : Parkinson's disease, Severe Depression, Lung cancer, Bowel cancer, Breast cancer.</li> </ul> <p>If any of codes -11, -13 or -17 were selected then no additional Group 1 choices were allowed. If any of codes -21, -23 or -27 were selected then no additional Group 2 choices were allowed. <p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Answer this question for blood relations only. If you are not sure if your mother suffered from any of the listed illnesses please select Do not know. If you know your mother suffered from certain listed illnesses but are unsure about others, only select the ones you are sure about.<br></i></td></tr></table><p>The information was collected from participants who indicated they were not adopted as a child, as defined by their answers to ~F1767~ and who indicated whether their natural mother was still alive or had died, as defined by their answers to ~F1835~.<p>Note that although Prostate cancer is present in ~C1010~, participants were not presented with this option when selecting Mother illnesses.	2012-10-08T00:00:00	2023-03-08T00:00:00	492894	1274141	0	1	1	1
20111	Illnesses of siblings	0	0	0	22	11	0	0	1	1	0		100034	1010	2	0	3	0	11	This field contains the combined results of 2 ACE touchscreen questions, both asked "Have any of your brothers or sisters suffered from any of the following diseases? (You can select more than one answer)" for different sets of illnesses. For convenience, the illnesses were arbitrarily divided into two sets: <p> <ul> <li>Group 1 : Heart disease, Stroke, High blood pressure, Chronic bronchitis/emphysema, Alzheimer's disease/dementia, Diabetes.</li> <li>Group 2 : Parkinson's disease, Severe Depression, Lung cancer, Bowel cancer, Prostate cancer, Breast cancer.</li> </ul> <p>If any of codes -11, -13 or -17 were selected then no additional Group 1 choices were allowed. If any of codes -21, -23 or -27 were selected then no additional Group 2 choices were allowed. <p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Answer this question for blood relations only. Include any sisters or brothers who have died. If you are not sure if your sisters or brothers suffered from any of the listed illnesses please select Do not know. If more than one sister or brother has suffered from any of the listed illnesses, you only need to select the illness once.</i></td></tr></table><p>The information was collected from participants who indicated they were not adopted as a child, as defined by their answers to ~F1767~ and that they had at least one natural brother or sister, as defined by their answers to ~F1873~ and ~F1883~.	2012-10-08T00:00:00	2023-03-08T00:00:00	434140	1095771	0	1	1	1
20112	Illnesses of adopted father	0	0	0	22	11	0	0	1	1	0		100034	1010	2	0	3	0	6	This field contains the combined results of 2 ACE touchscreen questions, both asked "Has/did your ADOPTED father ever suffer from? (You can select more than one answer)" for different sets of illnesses. For convenience, the illnesses were arbitrarily divided into two sets: <p> <ul> <li>Group 1 : Heart disease, Stroke, High blood pressure, Chronic bronchitis/emphysema, Alzheimer's disease/dementia, Diabetes.</li> <li>Group 2 : Parkinson's disease, Severe Depression, Lung cancer, Bowel cancer, Prostate cancer.</li> </ul> <p>If any of codes -11, -13 or -17 were selected then no additional Group 1 choices were allowed. If any of codes -21, -23 or -27 were selected then no additional Group 2 choices were allowed. <p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Answer this question for your adopted father only. If you are not sure if your adopted father suffered from any of the listed illnesses please select Do not know. If you know your adopted father suffered from certain listed illnesses but are unsure about others, only select the ones you are sure about.<br></i></td></tr></table><p>The information was collected from participants who they were adopted as a child, as defined by their answers to ~F1767~ and who indicated whether their adopted father was still alive or had died, as defined by their answers to ~F3912~.<p>Note that although Breast cancer is present in ~C1010~, participants were not presented with this option when selecting adopted Father illnesses.	2012-10-09T00:00:00	2022-05-05T00:00:00	5319	12597	0	1	1	1
20113	Illnesses of adopted mother	0	0	0	22	11	0	0	1	1	0		100034	1010	2	0	3	0	5	This field contains the combined results of 2 ACE touchscreen questions, both asked "Has/did your ADOPTED mother ever suffer from? (You can select more than one answer)" for different sets of illnesses. For convenience, the illnesses were arbitrarily divided into two sets: <p> <ul> <li>Group 1 : Heart disease, Stroke, High blood pressure, Chronic bronchitis/emphysema, Alzheimer's disease/dementia, Diabetes.</li> <li>Group 2 : Parkinson's disease, Severe Depression, Lung cancer, Bowel cancer, Breast cancer.</li> </ul> <p>If any of codes -11, -13 or -17 were selected then no additional Group 1 choices were allowed. If any of codes -21, -23 or -27 were selected then no additional Group 2 choices were allowed. <p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Answer this question for your adopted mother only. If you are not sure if your adopted mother suffered from any of the listed illnesses please select Do not know. If you know your adopted mother suffered from certain listed illnesses but are unsure about others, only select the ones you are sure about.<br></i></td></tr></table><p>The information was collected from participants who indicated they were adopted as a child, as defined by their answers to ~F1767~ and who indicated whether their adopted mother was still alive or had died, as defined by their answers to ~F3942~.<p>Note that although Prostate cancer is present in ~C1010~, participants were not presented with this option when selecting adopted Mother illnesses.	2012-10-09T00:00:00	2023-03-08T00:00:00	5682	13892	0	1	1	1
20114	Illnesses of adopted siblings	0	0	0	22	11	0	0	1	1	0		100034	1010	2	0	3	0	6	This field contains the combined results of 2 ACE touchscreen questions, both asked "Have any of your ADOPTED brothers or sisters suffered from any of the following diseases? (You can select more than one answer)" for different sets of illnesses. For convenience, the illnesses were arbitrarily divided into two sets: <p> <ul> <li>Group 1 : Heart disease, Stroke, High blood pressure, Chronic bronchitis/emphysema, Alzheimer's disease/dementia, Diabetes.</li> <li>Group 2 : Parkinson's disease, Severe Depression, Lung cancer, Bowel cancer, Prostate cancer, Breast cancer.</li> </ul> <p>If any of codes -11, -13 or -17 were selected then no additional Group 1 choices were allowed. If any of codes -21, -23 or -27 were selected then no additional Group 2 choices were allowed. <p>If the participant activated the Help button they were shown the message:<br><table><tr><td><i>Answer this question for adopted brothers and sisters only. Include any adopted sisters or brothers who have died. If you are not sure if your adopted sisters or brothers suffered from any of the listed illnesses please select Do not know. If more than one adopted sister or brother has suffered from any of the listed illnesses, you only need to select the illness once.</i></td></tr></table><p>The information was collected from participants who indicated they were adopted as a child, as defined by their answers to ~F1767~ and that they had at least one adopted brother or sister, as defined by their answers to ~F3972~ and ~F3982~.	2012-10-09T00:00:00	2023-03-08T00:00:00	3868	9151	0	1	1	1
20115	Country of Birth (non-UK origin)	0	0	0	21	11	0	3	1	0	0		100072	89	2	0	0	0	0	This is the country of birth as described by the participant to an interviewer. The question was only asked to participants who identified themselves as having been born outside of the United Kingdom / Republic of Ireland during the touchscreen questionnaire (~F1647~), however some participants then gave a location within the United Kingdom / Republic of Ireland (and have been coded here as such). <p>Answers have been grouped by continent. Coding was performed after the assessment visit using the strings either selected or entered as free-text. Some of the free-text could not be mapped onto a region and these entries have been omitted from the dataset.	2013-03-05T00:00:00	2013-03-05T00:00:00	40559	40559	120	1	1	1
20116	Smoking status	0	0	0	21	11	0	3	1	0	0		100058	90	2	0	3	0	0	This field summarises the current/past smoking status of the participant.	2013-03-06T00:00:00	2023-03-08T00:00:00	501500	592096	2910	1	1	1
20117	Alcohol drinker status	0	2	0	21	11	0	3	1	0	0		100051	90	2	0	3	0	0		2013-03-06T00:00:00	2023-03-08T00:00:00	501494	592090	0	1	1	1
20118	Home area population density - urban or rural	0	0	0	21	11	0	0	1	0	0		100024	91	2	0	0	0	0	The classification is derived by combining each participants home postcode with data generated from the 2001 census from the Office of National Statistics, using the Geoconvert tool from <a href="http://cdu.mimas.ac.uk/" class="basic">Census Dissemination Unit</a>.	2013-03-18T00:00:00	2013-03-18T00:00:00	497319	497319	180	1	1	1
20119	Current employment status - corrected	0	0	0	21	11	0	3	1	0	0		100064	100295	2	0	0	0	0	Most participant jobs were code by staff in the clinic when the participant was present, with the results presented in ~F132~. However, for various reasons, staff were occasionally unable to find suitable codings and the job was recorded as a "Other job" accompanied by a free-text description. <p>In some cases participants declared an occupation which was not actually classified as paid/self-employment and this information was used to correct the answer given in ~F6142~.	2013-06-07T00:00:00	2013-06-07T00:00:00	3364	3364	0	1	1	1
20121	Cascot confidence score	0	0	0	11	0	0	3	1	0	0	percent	100073	0	2	0	0	0	0		2013-06-07T00:00:00	2013-06-07T00:00:00	14546	14546	0	1	1	1
20122	Bipolar disorder status	0	0	0	21	11	0	3	1	0	0		100060	100694	2	0	0	0	0	This derived data field has come from Professor Jill Pell from the Institute of Health &amp; Wellbeing, University of Glasgow. Methods on how these fields were derived can be found in the Additional Resources tab.	2015-01-20T00:00:00	2015-04-09T00:00:00	1615	1615	0	1	1	1
20123	Single episode of probable major depression	0	0	0	21	11	0	3	1	0	0		100060	7	2	0	0	0	0	Single episode of probable major depression. <p> This derived data field has come from Professor Jill Pell from the Institute of Health &amp; Wellbeing, University of Glasgow. Methods on how these fields were derived can be found in the Additional Resources tab.	2015-01-20T00:00:00	2015-04-09T00:00:00	9750	9750	0	1	1	1
20124	Probable recurrent major depression (moderate)	0	0	0	21	11	0	3	1	0	0		100060	7	2	0	0	0	0	Probable recurrent major depression (moderate). <p> This derived data field has come from Professor Jill Pell from the Institute of Health &amp; Wellbeing, University of Glasgow. Methods on how these fields were derived can be found in the Additional Resources tab.	2015-01-20T00:00:00	2015-04-09T00:00:00	15238	15238	0	1	1	1
20125	Probable recurrent major depression (severe)	0	0	0	21	11	0	3	1	0	0		100060	7	2	0	0	0	0	Probable recurrent major depression (severe). <p> This derived data field has come from Professor Jill Pell from the Institute of Health &amp; Wellbeing, University of Glasgow. Methods on how these fields were derived can be found in the Additional Resources tab.	2015-01-20T00:00:00	2015-04-09T00:00:00	9396	9396	0	1	1	1
20126	Bipolar and major depression status	0	0	0	21	11	0	3	1	0	0		100060	100695	2	0	0	0	0	Bipolar and major depression status. <p> This derived data field has come from Professor Jill Pell from the Institute of Health &amp; Wellbeing, University of Glasgow. Methods on how these fields were derived can be found in the Additional Resources tab.	2015-01-20T00:00:00	2015-04-09T00:00:00	122938	122938	0	1	1	1
20127	Neuroticism score	0	0	0	11	0	0	3	1	0	0		100060	0	2	0	0	0	0	This is an externally derived summary score of neuroticism, based on 12 neurotic behaviour domains as reported from fields 1920, 1930, 1940, 1950, 1960, 1970, 1980, 1990, 2000, 2010, 2020 and 2030 from the touchscreen questionnaire at baseline. Participants were assessed for twelve domains of neurotic behaviours via the touchscreen questionnaire. Questions included: <ul> <li>Does your mood often go up and down?</li> <li>Do you ever feel 'just miserable' for no reason?</li> <li>Are you an irritable person?</li> <li>Are your feelings easily hurt?</li> <li>Do you often feel 'fed-up'?</li> <li>Would you call yourself a nervous person?</li> <li>Are you a worrier?</li> <li>Would you call yourself tense or 'highly strung'?</li> <li>Do you worry too long after an embarrassing experience?</li> <li>Do you suffer from 'nerves'?</li> <li>Do you often feel lonely?</li> <li>Are you often troubled by feelings of guilt?</li> </ul>Participants could answer Yes, No, Do not know or Prefer not to answer. <p> This field summarises the number of Yes answers across these twelve questions into a single integer score for each participant. <p> This derived data field has come from Professor Jill Pell from the Institute of Health &amp; Wellbeing, University of Glasgow. Methods on how these fields were derived can be found in the Additional Resources tab.	2015-01-20T00:00:00	2015-04-09T00:00:00	401468	401468	0	1	1	1
20128	Number of fluid intelligence questions attempted within time limit	0	0	0	11	0	0	3	1	0	0	questions	100027	0	2	0	3	0	0	Number of fluid intelligence questions attempted within time limit. As the questions were asked in a constant order, and it was not possible to skip any, this value also represents the highest numbered question that the participant attempted.	2015-07-06T00:00:00	2023-03-08T00:00:00	215112	250817	0	1	1	1
20129	Number of columns displayed in round	0	0	0	11	0	0	2	1	1	0		117	0	2	0	0	0	2		2012-01-05T00:00:00	2015-07-23T00:00:00	118497	251953	1	1	1	1
20130	Number of rows displayed in round	0	0	0	11	0	0	2	1	1	0		117	0	2	0	0	0	2		2012-01-05T00:00:00	2015-07-23T00:00:00	118497	251953	3	1	1	1
20131	Number of correct matches in round	0	0	0	11	0	0	0	1	1	0		117	0	2	0	0	0	2	This is the number of correct matches in the round. It should always be 3 for a 2x3 game and 6 for a 3x4 game, unless the participant abandoned before finishing.	2012-01-05T00:00:00	2015-07-23T00:00:00	118497	251953	5	1	1	1
20132	Number of incorrect matches in round	0	0	0	11	0	0	0	1	1	0		117	0	2	0	0	0	2	A value of 0 indicates the participant made no mistakes.	2012-01-05T00:00:00	2015-07-23T00:00:00	118497	251953	7	1	1	1
20133	Time to complete round	0	0	0	11	0	0	0	1	1	0	deciseconds	117	485	2	0	0	0	2	These timings were made using Javascript Date.getTime() running in a web-browser on the participants own equipment, and researchers should read ~R501~ before making use of this data. Timings which have obviously been affected by the issues discussed have been flagged as Invalid.	2012-01-05T00:00:00	2015-08-11T00:00:00	118497	251953	9	1	1	1
20134	When pairs test completed	0	0	0	61	0	0	0	0	0	0		117	0	0	0	0	0	0	Time pairs test completed	2015-07-06T00:00:00	2015-07-23T00:00:00	118497	118497	0	1	1	1
20135	When fluid intelligence test completed	0	0	0	61	0	0	0	0	0	0		118	0	0	0	0	0	0	Time fluid intelligence test completed	2015-07-06T00:00:00	2015-07-21T00:00:00	123581	123581	0	1	1	1
20136	When trail making test completed	0	0	0	61	0	0	0	0	0	0		121	0	0	0	0	0	0	Time trail making test completed	2015-07-06T00:00:00	2015-07-23T00:00:00	120428	120428	190	1	1	1
20137	When symbol digit substitution test completed	0	0	0	61	0	0	0	0	0	0		122	0	0	0	0	0	0	Time sybol digit substitution test completed	2015-07-06T00:00:00	2015-08-12T00:00:00	120144	120144	180	1	1	1
20138	When numeric memory test completed	0	0	0	61	0	0	0	0	0	0		120	0	0	0	0	0	0	Time numeric memory test completed	2015-07-06T00:00:00	2015-10-15T00:00:00	111033	111033	100	1	1	1
20139	Number of letters correctly identified	0	2	0	11	0	0	3	1	0	0	letters	1358	0	2	2	3	0	0	This is the total number of letters a participant correctly identified before the test was concluded.	2022-12-15T00:00:00	2023-03-08T00:00:00	2349	2349	100	1	1	1
20140	When device described	0	0	0	61	0	0	0	0	1	0		116	0	0	0	0	0	4	Time when initial entry/pointer method mood questions were completed prior to completing elements of the cognitive questionnaire. Note that participants could complete the sections of the cognitive questionnaire over multiple sessions, so some participants have multiple values for this field which must be linked to the individual sections by examining their timestamps.	2015-07-06T00:00:00	2020-01-31T00:00:00	125458	131225	100	1	1	1
20141	Position of first letter not identified	0	2	0	11	0	0	3	1	0	0	count	1358	0	2	2	3	0	0	Position of first letter not identified correctly.	2022-12-16T00:00:00	2023-03-08T00:00:00	2300	2300	110	1	1	1
20142	Present in OMOP dataset	0	0	0	21	11	30	3	0	0	0		100091	1	0	0	0	0	0	Field indicates presence of participant in OMOP-format compound dataset. Access to this field enables loading the OMOP formatted record tables. <p> OMOP data was generated by Regeneron and Odysseus (see ~R1420~ for further details). <p> OMOP tables without individual participant level data are presented as text resource files. <p> Tables in the OMOP Common Data Model that did not contain data are not provided. <br> This includes: <ul> <li> attribute definition <li> cohort attribute <li> cohort definition <li> cohort <li> cost <li> fact relationship <li> note nlp <li> payer plan period <li> source to concept map </ul> <br> <br> In addition, the location table has also not been provided as the source field for the data (participant home location) is now subject to restricted access.	2023-02-22T00:00:00	2023-03-10T00:00:00	502367	502367	0	2	2	2
20147	Errors before selecting correct item in numeric path (trail #1)	0	0	0	11	0	0	0	0	1	0	error-count	121	0	0	0	0	1	25	Errors before selecting correct item in numeric path (trail #1). Only values greater than zero are recorded.	2015-07-07T00:00:00	2015-07-23T00:00:00	26356	44184	160	1	1	1
20148	Errors before selecting correct item in alphanumeric path (trail #2)	0	0	0	11	0	0	0	0	1	0	error-count	121	0	0	0	0	1	25	Errors before selecting correct item in alphanumeric path (trail #2). Only values greater than zero are recorded.	2015-07-07T00:00:00	2015-07-23T00:00:00	42762	72310	170	1	1	1
20149	Interval between previous point and current one in numeric path (trail #1)	0	0	0	11	0	0	0	0	1	0	milliseconds	121	485	0	0	0	1	25	These timings were made using Javascript Date.getTime() running in a web-browser on the participants own equipment, and researchers should read ~R501~ before making use of this data. Timings which have obviously been affected by the issues discussed have been flagged as Invalid.	2015-07-07T00:00:00	2015-08-11T00:00:00	115120	2847279	140	1	1	1
20150	Forced expiratory volume in 1-second (FEV1), Best measure	0	0	0	31	0	0	3	1	0	0	litres	100020	0	2	0	0	0	0	Highest measure from the array of values for Forced Expiratory Volume in 1-second (FEV1) ~F3063~, which was "acceptable" according to corresponding acceptability field (~F3061~). A blow was deemed acceptable if recorded as 0 (no problems) or 32 (0x20 - "USER_ACCEPTED"). <p> This derived data field has come from Professor Martin Tobin at the University of Leicester.	2015-03-30T00:00:00	2015-03-31T00:00:00	353219	353219	360	1	1	1
20151	Forced vital capacity (FVC), Best measure	0	0	0	31	0	0	3	1	0	0	litres	100020	0	2	0	0	0	0	Highest measure from the array of values for Forced Vital Capacity (FVC) (~F3062~), which was "acceptable" according to corresponding acceptability field (~F3061~). A blow was deemed acceptable if recorded as 0 (no problems) or 32 (0x20 - "USER_ACCEPTED"). <p> This derived data field has come from Professor Martin Tobin at the University of Leicester.	2015-03-30T00:00:00	2015-03-31T00:00:00	353219	353219	320	1	1	1
20152	Reproduciblity of spirometry measurement using ERS/ATS criteria	0	0	0	21	11	0	3	1	0	0		100020	7	2	0	0	0	0	Indicates whether an individual's spirometry meets European Respiratory Society/American Thoracic Society (ERS/ATS) Criteria, that is their highest acceptable measure was reproducible (the highest acceptable measure and any other measure were within 150 millilitres for both for Forced Expiratory Volume in 1-second (FEV1) and Forced Vital Capacity (FVC), although not necessarily the same blow. Note, if FVC &lt;=1 litre the criteria is within 100 millilitres). <p> This derived data field has come from Professor Martin Tobin at the University of Leicester.	2015-03-30T00:00:00	2015-03-31T00:00:00	353219	353219	130	1	1	1
20153	Forced expiratory volume in 1-second (FEV1), predicted	0	0	0	31	0	0	3	1	0	0	litres	100020	0	2	0	0	0	0	Predicted Forced Expiratory Volume in 1-second (FEV1), was calculated using a subset of "healthy never smokers" from UK Biobank. "Healthy never smokers", were selected as individuals with "Ever Smoking Status"=0 and with "Reproducible measure using the European Respiratory Society/American Thoracic Society (ERS/ATS) Criteria"=YES (1), with the following exclusions: <ul> <li> ~F2316~: Individuals who indicated that they had experienced wheeze: "Yes" (1), "Do not know" (-1) or "Prefer not to answer" (-3). </li> <li> ~F6152~: Individuals who reported "emphysema/chronic bronchitis" (6) or "asthma" (8) or "Prefer not to answer" (-3). </li> <li>~F20002~: Individuals who reported any of the following: asthma (1111), COPD (1112), emphysema/chronic bronchitis (1113), bronchiectasis (1114), interstitial lung disease (1115), asbestosis (1120), pulmonary fibrosis (1121), fibrosing/unspecified alveolitis (1122), respiratory failure (1124), pleurisy (1125), spontaneous/recurrent pneumothorax (1126), other respiratory problems (1117). </li> </ul> Healthy never smokers were grouped into 58 age-sex bands (29 age bands per sex; ages 39, 40 and 41 were grouped into one band and ages 69, 70 and 72 were grouped into one band with ages 42 to 68 each forming a separate band) and the following linear regression model was fitted in each age-sex band: <p>FEV1 = <i>Beta0</i> + <i>Beta1</i> * Standing Height <p> Predicted FEV1 was then calculated for all samples who were never smokers ("Ever Smoking Status"=0) or heavy smokers ("Ever Smoking Status"=1 AND "Pack years as proportion of life span exposed to smoking" &gt;= 0.42) and with "Reproducible measure using the European Respiratory Society/American Thoracic Society (ERS/ATS) Criteria"=YES, using the estimates of <i>Beta0</i> and <i>Beta1</i>, from the appropriate age-sex band: <p>Predicted FEV1= (pred.<i>Beta0</i>) + (pred.<i>Beta1</i>)^ * Standing Height <p> Five individuals were outliers in terms of their FEV1 and were not coded. <p> This derived data field has come from Professor Martin Tobin at the University of Leicester. <p> The current field was updated in 2021, using the regression method described above. Coverage was increased to include any participant who indicated at initial assessment (instance 0) that they either occasionally smoked, or where "Pack years as proportion of life span exposed to smoking" < 0.42. <p> The original research group additionally indicated that they now use GLI-2012 equations to produce predicted values for FEV1, details can be found at ~Ehttps://www.ers-education.org/guidelines/global-lung-function-initiative/faq/how-to-use-the-quanjer-gli-2012-equations.aspx~.	2015-03-30T00:00:00	2021-06-19T00:00:00	274921	274921	370	1	1	1
20154	Forced expiratory volume in 1-second (FEV1), predicted percentage	0	0	0	31	0	0	3	1	0	0	percent	100020	0	2	0	0	0	0	This value was only calculated for samples with non-missing predicted Forced Expiratory Volume in 1-second, using derived variables Force Expiratory Volume in 1-second (FEV1) and predicted Forced Expiratory Volume in 1-second (pred.FEV1). It is defined as the Force Expiratory Volume in 1-second divided by the Percent predicted Forced Expiratory Volume in 1-second multiplied by 100: <p>FEV1 /pred.FEV1 * 100 <p> This derived data field has come from Professor Martin Tobin at the University of Leicester.	2015-03-30T00:00:00	2021-06-19T00:00:00	274921	274921	380	1	1	1
20155	Interval between previous point and current one in alphanumeric path (trail #2)	0	0	0	11	0	0	0	0	1	0	milliseconds	121	485	0	0	0	1	25	These timings were made using Javascript Date.getTime() running in a web-browser on the participants own equipment, and researchers should read ~R501~ before making use of this data. Timings which have obviously been affected by the issues discussed have been flagged as Invalid.	2015-07-07T00:00:00	2015-08-11T00:00:00	110372	2723831	150	1	1	1
20156	Duration to complete numeric path (trail #1)	0	0	0	31	0	0	3	0	0	0	seconds	121	0	0	0	0	0	0	Derived by summing the values in ~F20149~. <p> Where some of the individual timings were flagged as Invalid, the total duration was calculated by interpolating from the valid timings.	2015-07-07T00:00:00	2015-08-11T00:00:00	104002	104002	100	1	1	1
20157	Duration to complete alphanumeric path (trail #2)	0	0	0	31	0	0	3	0	0	0	seconds	121	0	0	0	0	0	0	Derived by summing the values in ~F20155~	2015-07-07T00:00:00	2015-08-11T00:00:00	104000	104000	110	1	1	1
20158	DXA images	0	2	0	41	0	20	0	1	0	0		103	0	2	2	3	0	0	Contains the DXA image set as generated by the scanning device. <br> Includes whole body; lateral thoraco-lumbar spine; right and left hips; right and left knees .	2015-09-23T00:00:00	2023-03-08T00:00:00	62432	67336	100	3	2	3
20159	Number of symbol digit matches made correctly	0	0	0	11	0	0	0	0	0	0	correct-answers	122	0	0	0	0	0	0	This is the number of times a participant correctly matched a symbol with a digit summed across all the rounds of the test that they performed, excluding the initial 8 items corresponding to the training round.	2015-07-07T00:00:00	2015-08-13T00:00:00	118435	118435	100	1	1	1
20160	Ever smoked	0	0	0	21	11	0	3	1	0	0		100058	7	2	0	3	0	0	Derived using variables "Current tobacco smoking" (~F1239~) and "Past tobacco smoking" (~F1249~). <p>Individual classed as Eversmoker if Current tobacco smoking= most days (1) or occasionally (2) OR Past tobacco smoking= most days (1) or occasionally (2) or tried once or twice (3). <p> Individual were classed as Neversmoker if Current tobacco smoking= no (0) AND Past tobacco smoking= never (4). <p> Individuals who answered to either question "Do not know" (-1) "Prefer not to answer" (-3) and "None of the above" (-7) were not coded. <p> This derived data field has come from Professor Martin Tobin at the University of Leicester.	2015-03-30T00:00:00	2023-03-08T00:00:00	499647	589799	0	1	1	1
20161	Pack years of smoking	0	0	0	31	0	0	3	1	0	0	years	100058	0	2	0	3	0	0	Pack years calculated for individuals who have ever smoked according to data field Ever smoking status=1, using appropriate data: Current cigarette (either manufactured or hand rolled) smokers who smoke most days (smoking data fields used: ~F3436~ and ~F6183~). Past cigarette (either manufactured or hand rolled) smokers who smoked most days (smoking data fields used: ~F2867~, ~F2897~ and ~F2887~). Current cigar/pipe smokers who smoked most days and previously smoked cigarettes (smoking data fields used: ~F3436~, ~F6194~ and ~F6183~). The general definition of a pack year is the number of cigarettes smoked per day, divided by twenty, multiplied by the number of years of smoking. The number of years of smoking is calculated by substracting the age of starting smoking from the age smoking was stopped. <p> Number of cigarettes per day / 20 * (Age stopped smoking - Age start smoking) <p>The figure is adjusted for individuals who gave up smoking for more than 6 months, according to data fields 2907 or 3486 by subtracting six months from the number of years of smoking. <p>Number of cigarettes per day / 20 * (Age stopped smoking - Age start smoking - 0.5) <p>Note: Individuals who started and gave up smoking before 16 years of age were coded as NA. For individuals who started smoking before 16 but gave up after 16, their age start was set as 16. Individuals who reported starting and stopping smoking at the same age and reported giving up smoking for more than 6 months had pack-years set at 0. <p> This derived data field has come from Professor Martin Tobin at the University of Leicester.	2015-03-30T00:00:00	2023-03-08T00:00:00	153015	172799	0	1	1	1
20162	Pack years adult smoking as proportion of life span exposed to smoking	0	0	0	31	0	0	3	1	0	0	Units	100058	0	2	0	3	0	0	Average number of pack-years smoked by an individual each year, over their adult lifetime, calculated using pack-years data field. Pack years as a proportion of lifespan exposed to smoking is defined as pack years divided by the number of years between the participants' age at recruitment and the age of 16: <p> Pack years / (Age at recruitment - 16) <p> This derived data field has come from Professor Martin Tobin at the University of Leicester.	2015-03-30T00:00:00	2023-03-08T00:00:00	153015	172799	0	1	1	1
20165	FI1 : numeric addition test	0	0	0	21	11	0	0	1	0	0		118	5001	2	0	0	0	0	ACE touchscreen question "Add the following numbers together: 1 2 3 4 5 - is the answer?". Part 1 of Fluid Intelligence test. <p>Asked to choose from 13, 14, 15, 16 or 17.	2012-01-05T00:00:00	2015-07-21T00:00:00	123119	123119	120	1	1	1
20167	FI2 : identify largest number	0	0	0	21	11	0	0	1	0	0		118	5002	2	0	0	0	0	ACE touchscreen question "Which number is the largest?". Part 2 of Fluid Intelligence test.<p> Asked to choose from 642, 308, 987, 714 and 253.	2012-01-05T00:00:00	2015-07-21T00:00:00	123143	123143	130	1	1	1
20169	FI3 : word interpolation	0	0	0	21	11	0	0	1	0	0		118	5003	2	0	0	0	0	ACE touchscreen question "Bud is to Flower as Child is to?". Part 3 of Fluid Intelligence test.<p>Offered choice from Grow, Develop, Improve, Adult and Old.	2012-01-05T00:00:00	2015-07-21T00:00:00	123109	123109	140	1	1	1
20171	FI4 : positional arithmetic	0	0	0	21	11	0	0	1	0	0		118	5004	2	0	0	0	0	ACE touchscreen question "11 12 13 14 15 16 17 18 Divide the sixth number to the right of twelve by three. Is the answer?". Part 4 of Fluid Intelligence test.<p>Offered choice from 5, 6, 7, or 8.	2012-01-05T00:00:00	2015-07-21T00:00:00	122469	122469	150	1	1	1
20173	FI5 : family relationship calculation	0	0	0	21	11	0	0	1	0	0		118	5005	2	0	0	0	0	ACE touchscreen question "If Truda's mother's brother is Tim's sister's father, what relation is Truda to Tim?". Part 5 of Fluid Intelligence test.<p>Offered choice from Aunt, Sister, Niece, Cousin, No-relation.	2012-01-05T00:00:00	2015-07-21T00:00:00	119876	119876	160	1	1	1
20175	FI6 : conditional arithmetic	0	0	0	21	11	0	0	1	0	0		118	5006	2	0	0	0	0	ACE touchscreen question "If sixty is more than half of seventy-five, multiply twenty-three by three. If not subtract 15 from eighty-five. Is the answer?". Part 6 of Fluid Intelligence test.<p>Offered choice from 68, 69, 70, 71, 72.	2012-01-05T00:00:00	2015-07-21T00:00:00	107515	107515	170	1	1	1
20177	FI7 : synonym	0	0	0	21	11	0	0	1	0	0		118	5007	2	0	0	0	0	ACE touchscreen question "Stop means the same as?". Part 7 of Fluid Intelligence test. <p>Offered choice from Pause, Close, Cease, Break or Rest.	2012-01-05T00:00:00	2015-07-21T00:00:00	87393	87393	180	1	1	1
20179	FI8 : chained arithmetic	0	0	0	21	11	0	0	1	0	0		118	5008	2	0	0	0	0	ACE touchscreen question "If David is twenty-one and Owen is nineteen and Daniel is nine years younger than David, what is half their combined age?". Part 8 of Fluid Intelligence test.<p>Offered choice from 25, 26, 27, 28 or 29.	2012-01-05T00:00:00	2015-07-21T00:00:00	79495	79495	190	1	1	1
20181	FI9 : concept interpolation	0	0	0	21	11	0	0	1	0	0		118	5009	2	0	0	0	0	ACE touchscreen question "Age is to Years as Height is to?". Part 9 of Fluid Intelligence test.<p>Offered choice from Long, Deep, Top, Metres or Tall.	2012-01-05T00:00:00	2015-07-21T00:00:00	32415	32415	200	1	1	1
20183	FI10 : arithmetic sequence recognition	0	0	0	21	11	0	0	1	0	0		118	5010	2	0	0	0	0	ACE touchscreen question "150 ... 137 ... 125 ... 114 ... 104 ... What comes next?". Part 10 of Fluid Intelligence test.<p>Offered choice from 92, 93, 94, 95 or 96.	2012-01-05T00:00:00	2015-07-21T00:00:00	21562	21562	210	1	1	1
20185	FI11 : antonym	0	0	0	21	11	0	0	1	0	0		118	5011	2	0	0	0	0	ACE touchscreen question "Relaxed means the opposite of?". Part 11 of Fluid Intelligence test.<p>Offered choice from Calm, Anxious, Cool, Worried, Tense.	2012-01-05T00:00:00	2015-07-21T00:00:00	10004	10004	220	1	1	1
20187	FI12 : square sequence recognition	0	0	0	21	11	0	0	1	0	0		118	5012	2	0	0	0	0	ACE touchscreen question "100 ... 99 ... 95 ... 86 ... 70 ... What comes next?". Part 12 of Fluid Intelligence test.<p>Offered choice from 45, 46, 47, 48, 49, 50.	2012-01-05T00:00:00	2015-07-21T00:00:00	6422	6422	230	1	1	1
20189	FI13 : subset inclusion logic	0	0	0	21	11	0	0	1	0	0		118	5013	2	0	0	0	0	ACE touchscreen question "If some flinks are plinks and some plinks are stinks then some flinks are definitely stinks?". Part 13 of Fluid Intelligence test.<p>Offered choice from True, False, Neither-true-nor-false.	2012-01-05T00:00:00	2015-07-21T00:00:00	1444	1444	240	1	1	1
20191	Fluid intelligence score	0	0	0	11	0	0	3	1	0	0	correct-answers	118	0	2	0	0	0	0	This is a simple unweighted sum of the number of correct answers given to the 13 fluid intelligence questions. Participants who did not answer all of the questions within the allotted 2 minute limit are scored as zero for each of the unattempted questions.	2012-03-28T00:00:00	2020-01-30T00:00:00	123581	123581	100	1	1	1
20192	Number of fluid intelligence questions attempted within time limit	0	0	0	11	0	0	3	0	0	0	questions	118	0	0	0	0	0	0	This is the number of fluid intelligence questions attempted within time limit (maximum 14). Participants were allowed to answer whichever question they were doing when the timer expired but the result was not counted towards the score in ~F20191~.	2015-07-06T00:00:00	2020-01-30T00:00:00	123581	123581	110	1	1	1
20193	FI14 : alphanumeric substitution	0	0	0	21	11	0	0	0	0	0		118	5014	0	0	0	0	0	Question : "If 'Anne' is thirty-four and 'John' is forty-seven, what number is 'that'? <br> Is it: 49,50,51,52,53" <p> This question was not asked in the original touchscreen version.	2015-07-06T00:00:00	2015-07-21T00:00:00	525	525	250	1	1	1
20195	Number of symbol digit matches attempted	0	0	0	11	0	0	0	1	0	0	attempts	122	0	2	0	0	0	0	This is the number of symbol digit combinations which a participant attempted to match, excluding the initial 8 items corresponding to the training round.	2015-07-07T00:00:00	2015-08-13T00:00:00	118435	118435	110	1	1	1
20196	First code array presented	0	0	0	21	11	0	2	1	0	0		122	500	2	0	0	0	0	The tests were described by an outer array of 33 symbol-digit arrays each containing the digits 0-7. To present some element of unpredictability between participants, each run of the program chose a random starting point in the outer array and presented tests from that point onwards (looping back to the origin if required). The outer array was zero-indexed, so that a value of 0 in this field means that the first symbol-digit array was used for the Coding array. <p> To illustrate, suppose a participant was allocated the value 5 for their start array. Then round 1 would use Array 5 [values 3,5,2,0,4,6,1,7] for the Code and Array 6 [6,3,7,2,4,5,0,1] for the Test. Round 2 would still use Array 5 for the Code but Array 7 [1,4,5,6,0,7,2,3] for the test etc. <p>The test arrays are listed below, and also in ~C500~ with the symbol dictionary shown in ~R111~. <p> 0) 5,0,3,6,1,2,4,7 <br> 1) 1,3,5,7,4,6,0,2 <br> 2) 4,5,6,7,3,0,2,1 <br> 3) 1,4,6,7,2,3,0,5 <br> 4) 4,5,1,3,7,2,6,0 <br> 5) 3,5,2,0,4,6,1,7 <br> 6) 6,3,7,2,4,5,0,1 <br> 7) 1,4,5,6,0,7,2,3 <br> 8) 3,4,2,5,6,0,7,1 <br> 9) 2,5,3,0,7,1,6,4 <br> 10) 3,6,4,1,0,5,7,2 <br> 11) 5,3,2,0,4,1,7,6 <br> 12) 2,3,4,1,7,5,0,6 <br> 13) 4,3,1,5,2,0,6,7 <br> 14) 3,5,0,1,4,7,2,6 <br> 15) 4,2,1,0,6,7,5,3 <br> 16) 0,2,3,7,1,4,6,5 <br> 17) 7,1,2,4,0,6,5,3 <br> 18) 5,1,7,3,2,4,0,6 <br> 19) 7,6,4,5,0,2,3,1 <br> 20) 2,6,1,4,5,7,0,3 <br> 21) 4,0,6,1,3,7,5,2 <br> 22) 5,6,0,7,3,2,1,4 <br> 23) 6,5,1,3,0,4,7,2 <br> 24) 4,1,7,2,5,6,3,0 <br> 25) 5,2,0,6,7,4,1,3 <br> 26) 3,0,5,6,7,2,4,1 <br> 27) 3,2,5,4,7,0,6,1 <br> 28) 0,6,7,5,1,2,3,4 <br> 29) 4,3,1,0,6,5,2,7 <br> 30) 5,4,6,7,1,0,2,3 <br> 31) 0,4,7,2,3,1,5,6 <br> 32) 2,0,1,5,6,7,4,3 <p>The first round (attempts 0-7) used a constant fixed pattern [2,4,6,1,3,5,7,0] for the Code Array and [7,1,5,4,6,0,3,2] for the test Array for all participants.	2015-07-07T00:00:00	2015-08-13T00:00:00	120144	120144	120	1	1	1
20197	Number of word pairs correctly associated	0	2	0	11	0	0	3	1	0	0		506	0	2	2	3	0	0	This is the number of word pairs correctly associated out of ten attempts.	2017-06-07T00:00:00	2023-03-08T00:00:00	49752	53887	100	1	1	1
20198	Test array presented	0	0	0	21	11	0	2	1	1	0		122	500	2	0	0	0	116	This field indicates the layout of symbols presented as a test. <p> The tests were described by an outer array of 33 symbol-digit arrays each containing the digits 0-7. To present some element of unpredictability between participants, each run of the program chose a random starting point in the outer array and presented tests from that point onwards (looping back to the origin if required). The outer array was zero-indexed, so that a value of 0 in this field means that the first symbol-digit array was used for the Coding array. <p> To illustrate, suppose a participant was allocated the value 5 for their start array. Then round 1 would use Array 5 [values 3,5,2,0,4,6,1,7] for the Code and Array 6 [6,3,7,2,4,5,0,1] for the Test. Round 2 would still use Array 5 for the Code but Array 7 [1,4,5,6,0,7,2,3] for the test etc. <p>The test arrays are listed below, and also in ~C500~ with the symbol dictionary shown in ~R111~. <p> 0) 5,0,3,6,1,2,4,7 <br> 1) 1,3,5,7,4,6,0,2 <br> 2) 4,5,6,7,3,0,2,1 <br> 3) 1,4,6,7,2,3,0,5 <br> 4) 4,5,1,3,7,2,6,0 <br> 5) 3,5,2,0,4,6,1,7 <br> 6) 6,3,7,2,4,5,0,1 <br> 7) 1,4,5,6,0,7,2,3 <br> 8) 3,4,2,5,6,0,7,1 <br> 9) 2,5,3,0,7,1,6,4 <br> 10) 3,6,4,1,0,5,7,2 <br> 11) 5,3,2,0,4,1,7,6 <br> 12) 2,3,4,1,7,5,0,6 <br> 13) 4,3,1,5,2,0,6,7 <br> 14) 3,5,0,1,4,7,2,6 <br> 15) 4,2,1,0,6,7,5,3 <br> 16) 0,2,3,7,1,4,6,5 <br> 17) 7,1,2,4,0,6,5,3 <br> 18) 5,1,7,3,2,4,0,6 <br> 19) 7,6,4,5,0,2,3,1 <br> 20) 2,6,1,4,5,7,0,3 <br> 21) 4,0,6,1,3,7,5,2 <br> 22) 5,6,0,7,3,2,1,4 <br> 23) 6,5,1,3,0,4,7,2 <br> 24) 4,1,7,2,5,6,3,0 <br> 25) 5,2,0,6,7,4,1,3 <br> 26) 3,0,5,6,7,2,4,1 <br> 27) 3,2,5,4,7,0,6,1 <br> 28) 0,6,7,5,1,2,3,4 <br> 29) 4,3,1,0,6,5,2,7 <br> 30) 5,4,6,7,1,0,2,3 <br> 31) 0,4,7,2,3,1,5,6 <br> 32) 2,0,1,5,6,7,4,3 <p>The first round (attempts 0-7) used a constant fixed pattern [2,4,6,1,3,5,7,0] for the Code Array and [7,1,5,4,6,0,3,2] for the test Array for all participants.	2015-07-07T00:00:00	2015-08-13T00:00:00	118755	3348920	130	1	1	1
20199	Antibiotic codes for last 3 months	0	3	0	22	11	0	0	1	1	0		100075	744	2	2	3	0	3	Antibiotic code	2018-11-09T00:00:00	2023-03-08T00:00:00	3245	3562	140	1	1	1
20200	Values wanted	0	0	0	11	0	0	0	0	1	0		122	0	0	0	0	0	116	This is the value matching the displayed symbol according to the coding dictionary presented on the screen. <p> To illustrate, the initial training screen displays <ul> <li>[2,4,6,1,3,5,7,0] - code (upper) Array</li> <li>[7,1,5,4,6,0,3,2] - test (lower) Array </li> </ul> Then the leftmost picture in the test Array has index 7 (a crescent). In the upper code array the crescent appears above the numeral 7, so the value wanted here is 7. <p> The next item in the test Array has index 1 (an "H" shape), which appears above the numeral 4 in the code array. <p> The last item in the test Array has an index 2 (an "="), which appears above the numeral 1 in the code array.	2015-07-07T00:00:00	2015-08-13T00:00:00	118755	3348920	140	1	1	1
20201	Dixon technique for internal fat - DICOM	0	2	0	41	0	20	0	1	0	0		105	0	2	2	3	0	0	Dixon technique. Measures internal fat. Neck-to-knee images.	2014-07-25T00:00:00	2023-03-10T00:00:00	59902	64807	0	3	2	3
20202	Pancreatic fat - DICOM	0	2	0	41	0	20	0	1	0	0		131	0	2	2	3	0	0	Measures fat in and around pancreas.	2014-07-25T00:00:00	2023-03-10T00:00:00	57402	62076	100	3	2	3
20203	Liver imaging - gradient echo - DICOM	0	2	0	41	0	20	0	1	0	0		126	0	2	2	2	0	0	Liver images collected using gradient echo. This protocol was superceded during 2016 by ~F20254~.	2014-07-25T00:00:00	2017-07-10T00:00:00	10105	10105	120	3	2	3
20204	Liver Imaging - T1 ShMoLLI - DICOM	0	2	0	41	0	20	0	1	0	0		126	0	2	2	3	0	0	Experimental sequence developed by Oxford OCMR group. A single breath-hold cardiac-gated T1-mapping Modified Look-Locker Inversion Recovery sequence (typically 12 seconds), which acquires a series of seven images (8mm slice thickness, in-plane pixel spacing 9.3mm) each with a different T1 weighting.	2014-07-25T00:00:00	2023-03-10T00:00:00	59516	64375	100	3	2	3
20205	ECG datasets	0	2	0	41	0	20	0	1	0	0		104	0	2	2	3	0	0	ECG datasets are stored as XML formatted records containing the lead-traces and some ancillary reporting data.	2014-07-28T00:00:00	2022-08-31T00:00:00	51056	54979	130	2	1	2
20206	Measurements of pancreas volume - DICOM	0	2	0	41	0	20	0	1	0	0		131	0	2	2	2	0	0	Different method of measuring fat around pancreas (one will likely be dropped eventually).	2014-07-25T00:00:00	2018-12-24T00:00:00	21705	21705	110	3	2	3
20207	Scout images for heart MRI - DICOM	0	2	0	41	0	20	0	1	0	0		102	0	2	2	3	0	0	Scout images for heart scans	2014-07-25T00:00:00	2023-03-09T00:00:00	61064	66066	160	3	2	3
20208	Long axis heart images - DICOM	0	2	0	41	0	20	0	1	0	0		102	0	2	2	3	0	0	Long Axis measures in three directions to cover various chambers of the heart.	2014-07-25T00:00:00	2023-03-09T00:00:00	60946	65942	150	3	2	3
20209	Short axis heart images - DICOM	0	2	0	41	0	20	0	1	0	0		102	0	2	2	3	0	0	Short axis scans. Used to measure function of heart.<p>Note that the number will vary depending on the size of the participant since the larger the heart the more slices are required. There should always be a relationship between the number of images in the _inlineVF series and the number of SAX series. Roughly invlineVF = SAX_b1 + b2 + bn + LAX_2ch _ LAX_3ch + LAX_4ch.	2014-07-25T00:00:00	2023-03-09T00:00:00	60768	65731	170	3	2	3
20210	Aortic distensibilty images - DICOM	0	2	0	41	0	20	0	1	0	0		102	0	2	2	3	0	0	Aortic distensibilty scans.	2014-07-25T00:00:00	2023-03-09T00:00:00	58083	62777	100	3	2	3
20211	Cine tagging images - DICOM	0	2	0	41	0	20	0	1	0	0		102	0	2	2	3	0	0	Cine tagging	2014-07-25T00:00:00	2022-06-13T00:00:00	48016	52687	120	3	2	3
20212	Left ventricular outflow tract images - DICOM	0	2	0	41	0	20	0	1	0	0		102	0	2	2	3	0	0	Left Ventricular Outflow Tract scan.	2014-07-25T00:00:00	2023-03-09T00:00:00	58021	62706	140	3	2	3
20213	Blood flow images - DICOM	0	2	0	41	0	20	0	1	0	0		102	0	2	2	3	0	0	Measures blood flow to try and identify heart disease.	2014-07-25T00:00:00	2023-03-09T00:00:00	57713	62362	110	3	2	3
20214	Experimental shMOLLI sequence images - DICOM	0	2	0	41	0	20	0	1	0	0		102	0	2	2	3	0	0	Experimental shMOLLI sequence used by Oxford OCMR.	2014-07-25T00:00:00	2023-03-09T00:00:00	58108	62786	130	3	2	3
20215	Scout images for brain scans - DICOM	0	2	1	41	0	20	0	1	0	0		108	0	2	2	3	0	0	Scout images for brain scans	2014-07-25T00:00:00	2023-02-04T00:00:00	1090	1090	100	3	2	3
20216	T1 structural brain images - DICOM	0	2	1	41	0	20	0	1	0	0		110	0	2	2	3	0	0	The DICOM image was acquired using the following parameters: <p> Resolution: 1x1x1 mm <br> Field-of-view: 208x256x256 matrix <br> Scan duration: 5 minutes <br>3D MPRAGE, sagittal, in-plane acceleration iPAT=2, prescan-normalise	2014-07-25T00:00:00	2023-03-08T00:00:00	60620	65840	110	3	2	3
20217	Functional brain images - task - DICOM	0	2	0	41	0	20	0	1	0	0		106	0	2	2	3	0	0	The DICOM images were acquired using the following parameters: <p> Resolution: 2.4x2.4x2.4 mm <br>Field-of-view: 88x88x64 matrix <br>Duration: 4 minutes (332 timepoints) <br>TR: 0.735 s <br>TE: 39ms <br>GE-EPI with x8 multislice acceleration, no iPAT, flip angle 52 degrees, fat saturation <p> As implemented in the CMRR multiband acquisition, a separate "single-band reference scan" is also acquired. This has the same geometry (including EPI distortion) as the timeseries data, but has higher between-tissue contrast to noise, and is used as the reference scan in head motion correction and alignment to other modalities.	2014-07-25T00:00:00	2023-03-08T00:00:00	52868	57277	130	3	2	3
20218	Multiband diffusion brain images - DICOM	0	2	0	41	0	20	0	1	0	0		107	0	2	2	3	0	0	The DICOM images were acquired using the following parameters: <p> Resolution: 2x2x2 mm <br>Field-of-view: 104x104x72 matrix <br>Duration: 7 minutes (including 36 seconds phase-encoding reversed data) <br>10x b=0, 50x b=1000, 50x b=2000 <br>SE-EPI with x3 multislice acceleration, no iPAT, fat saturation <p> For the two diffusion-weighted shells, 50 distinct diffusion-encoding directions were acquired (and all 100 directions are distinct). The diffusion prepraration is a standard ("monopolar") Stejskal-Tanner pulse sequence. This enables higher SNR due to a shorter echo time (TE=92ms) than than a twice-refocused ("bipolar") sequence. This improvement comes at the expense of stronger eddy current distortions, which are removed in the processed data available in NIFTI format.	2014-07-25T00:00:00	2023-03-08T00:00:00	59033	64170	110	3	2	3
20219	Susceptibility weighted brain images - DICOM	0	2	0	41	0	20	0	1	0	0		109	0	2	2	3	0	0	The DICOM images were acquired using the following parameters: <p> Resolution: 0.8x0.8x3 mm <br> Field-of-view: 256x288x48 matrix <br>Duration: 2.5 minutes <br>Two echos, TE=9.42,20 ms <br>2D, axial, in-plane acceleration iPAT=2, partial Fourier = 7/8, prescan-normalise <p> To date (Oct 2015) the magnitude and phase images have been saved for each RF coil and echo time separately. In future the expectation is to combine these on the scanner	2014-07-25T00:00:00	2023-03-08T00:00:00	56163	61013	110	3	2	3
20220	T2 FLAIR structural brain images - DICOM	0	2	1	41	0	20	0	1	0	0		112	0	2	2	3	0	0	The DICOM images were acquired using the following parameters: <p> Resolution: 1.05x1x1 mm <br>Field-of-view: 192x256x256 matrix <br>Duration: 6 minutes <br>3D SPACE, sagittal, in-plane acceleration iPAT=2, partial Fourier = 7/8, fat saturation, elliptical k-space scanning, prescannormalise	2014-07-25T00:00:00	2023-03-08T00:00:00	59780	64961	110	3	2	3
20221	T2/PD brain images - DICOM	0	2	1	41	0	20	0	1	0	0		112	0	2	2	2	0	0	The T2/PD scan was originally tentatively included as a standard protocol in diagnostic imaging for the detection of some pathologies. Consultation with research experts concluded it has little or no value to the research questions UK Biobank is likely to investigate. Further, the b=0 dMRI scans can to some extent be used as a surrogate for this. Hence in the face of overall scan time pressure, the T2/PD scan was dropped from the protocol during the pilot.	2014-07-25T00:00:00	2015-05-08T00:00:00	542	542	140	3	2	3
20222	Carotid artery ultrasound image (left)	0	2	0	41	0	20	0	1	0	0		101	0	2	2	3	0	0	Left carotid artery ultrasound image	2014-07-28T00:00:00	2022-10-31T00:00:00	19772	21579	280	3	2	3
20223	Carotid artery ultrasound image (right)	0	2	0	41	0	20	0	1	0	0		101	0	2	2	3	0	0	Right carotid artery ultrasound image	2014-07-28T00:00:00	2022-10-31T00:00:00	19774	21581	290	3	2	3
20224	Phoenix - DICOM	0	2	0	41	0	20	0	1	0	0		108	0	2	2	3	0	0	Phoenix setup/configuration information	2015-02-10T00:00:00	2023-03-08T00:00:00	60243	65225	110	3	2	3
20225	Functional brain images - resting - DICOM	0	2	0	41	0	20	0	1	0	0		111	0	2	2	3	0	0	The DICOM images were acquired using the following parameters: <p> Resolution: 2.4x2.4x2.4 mm <br>Field-of-view: 88x88x64 matrix <br>Duration: 6 minutes (490 timepoints) <br>TR: 0.735 s <br>TE: 39ms <br>GE-EPI with x8 multislice acceleration, no iPAT, flip angle 52 degrees, fat saturation	2015-02-10T00:00:00	2023-03-08T00:00:00	60517	65730	110	3	2	3
20226	Carotid artery ultrasound report	0	2	0	41	0	20	2	1	0	0		101	0	2	2	3	0	0	Screenshots captured from carotid ultrasound measurement device showing auxillary information.	2015-02-11T00:00:00	2022-10-31T00:00:00	19774	21582	300	3	2	3
20227	Functional brain images - resting - NIFTI	0	2	0	41	0	20	3	1	0	0		111	0	2	2	3	0	0	Resting-functional brain images in NIFTI format. <p> The source DICOM images were acquired using the following parameters: <p> Resolution: 2.4x2.4x2.4 mm <br>Field-of-view: 88x88x64 matrix <br>Duration: 6 minutes (490 timepoints) <br>TR: 0.735 s <br>TE: 39ms <br>GE-EPI with x8 multislice acceleration, no iPAT, flip angle 52 degrees, fat saturation <p> The average size of these NIFTI datasets is 670MB per participant.	2015-10-12T00:00:00	2023-02-12T00:00:00	49209	54413	100	3	2	3
20229	Values entered	0	0	0	11	0	0	0	0	1	0		122	0	0	0	0	0	116	This is the value entered by the participant. To be a correct match it must be the same as the corresponding value in ~F20200~.	2015-07-07T00:00:00	2015-08-13T00:00:00	118755	3348920	150	1	1	1
20230	Duration to entering symbol choice	0	0	0	11	0	0	0	0	1	0	milliseconds	122	0	0	0	0	0	116	This is the time in milliseconds between the participant being shown a pattern and their entering this value. The counter is reset to zero at the beginning of each round (i.e. when a new pattern is displayed). <p> These timings were made using Javascript Date.getTime() running in a web-browser on the participants own equipment, and researchers should read ~R501~ before making use of this data. Timings which have obviously been affected by the issues discussed have been flagged as Invalid.	2015-07-07T00:00:00	2015-08-13T00:00:00	118755	3348920	160	1	1	1
20240	Maximum digits remembered correctly	0	0	0	11	0	0	0	0	0	0		120	0	0	0	0	0	0	Longest number correctly recalled during the numeric memory test. A value of -1 is recorded if the participant chose to abandon the test before completing the first round.	2012-01-05T00:00:00	2015-10-15T00:00:00	111033	111033	190	1	1	1
20241	Raw carotid device data	0	2	0	41	0	20	0	1	0	0		101	0	2	2	3	0	0	Raw carotid device data. This is a zipped folder hierarchy containing multiple XML, data and other files as output from the measurement device.	2020-01-14T00:00:00	2023-03-05T00:00:00	62719	67723	310	3	2	3
20242	Fluid intelligence completion status	0	0	0	21	11	0	0	0	0	0		118	498	0	0	0	0	0	Indicates whether a participant fully completed the test or chose to abandon it part-way through.	2015-07-21T00:00:00	2015-07-21T00:00:00	123581	123581	0	1	1	1
20243	Kidney Imaging - T1 ShMOLLI - DICOM	0	2	0	41	0	20	0	1	0	0		156	0	2	2	3	0	0	Contains ShMOLLI_192i_kidney, ShMOLLI_192i_kidney_FITPARAMS and ShMOLLI_192i_kidney_T1MAP in DICOM wrapper.	2021-02-11T00:00:00	2023-02-03T00:00:00	7289	7289	100	1	1	1
20244	Pairs matching completion status	0	0	0	21	11	0	0	0	0	0		117	498	0	0	0	0	0	Indicates whether a participant fully completed the test or chose to abandon it part-way through.	2015-07-21T00:00:00	2015-07-23T00:00:00	118497	118497	0	1	1	1
20245	Symbol digit completion status	0	0	0	21	11	0	0	0	0	0		122	498	0	0	0	0	0	Indicates whether a participant fully completed the test or chose to abandon it part-way through.	2015-07-21T00:00:00	2015-08-13T00:00:00	120144	120144	170	1	1	1
20246	Trail making completion status	0	0	0	21	11	0	0	0	0	0		121	479	0	0	0	0	0	Indicates whether a participant fully completed the test or chose to abandon it part-way through.	2015-07-21T00:00:00	2015-07-23T00:00:00	120428	120428	180	1	1	1
20247	Total errors traversing numeric path (trail #1)	0	0	0	11	0	0	3	0	0	0	error-count	121	0	0	0	0	0	0	Total errors made while traversing numeric path. Only participants who made at least one error have data recorded in this field.	2015-07-21T00:00:00	2015-08-11T00:00:00	26356	26356	120	1	1	1
20248	Total errors traversing alphanumeric path (trail #2)	0	0	0	11	0	0	3	0	0	0	error-count	121	0	0	0	0	0	0	Total errors made while traversing alphanumeric path. Only participants who made at least one error have data recorded in this field.	2015-07-21T00:00:00	2015-08-11T00:00:00	42762	42762	130	1	1	1
20249	Functional brain images - task - NIFTI	0	2	0	41	0	20	3	1	0	0		106	0	2	2	3	0	0	Task-functional brain images in NIFTI format. <p> The source DICOM images were acquired using the following parameters: <p> Resolution: 2.4x2.4x2.4 mm <br>Field-of-view: 88x88x64 matrix <br>Duration: 4 minutes (332 timepoints) <br>TR: 0.735 s <br>TE: 39ms <br>GE-EPI with x8 multislice acceleration, no iPAT, flip angle 52 degrees, fat saturation <p> As implemented in the CMRR multiband acquisition, a separate "single-band reference scan" is also acquired. This has the same geometry (including EPI distortion) as the timeseries data, but has higher between-tissue contrast to noise, and is used as the reference scan in head motion correction and alignment to other modalities. <p> The average size of these NIFTI datasets is 450MB per participant.	2015-10-12T00:00:00	2023-02-12T00:00:00	43057	47454	120	3	2	3
20250	Multiband diffusion brain images - NIFTI	0	2	0	41	0	20	3	1	0	0		107	0	2	2	3	0	0	Multiband diffusion brain images in NIFTI format. <p> The source DICOM images were acquired using the following parameters: <p> Resolution: 2x2x2 mm <br>Field-of-view: 104x104x72 matrix <br>Duration: 7 minutes (including 36 seconds phase-encoding reversed data) <br>10x b=0, 50x b=1000, 50x b=2000 <br>SE-EPI with x3 multislice acceleration, no iPAT, fat saturation <p> For the two diffusion-weighted shells, 50 distinct diffusion-encoding directions were acquired (and all 100 directions are distinct). The diffusion prepraration is a standard ("monopolar") Stejskal-Tanner pulse sequence. This enables higher SNR due to a shorter echo time (TE=92ms) than than a twice-refocused ("bipolar") sequence. This improvement comes at the expense of stronger eddy current distortions, which are removed in the image processing pipeline. <p> The average size of these NIFTI datasets is 550MB per participant.	2015-10-12T00:00:00	2023-02-12T00:00:00	47632	52755	100	3	2	3
20251	Susceptibility weighted brain images - NIFTI	0	2	0	41	0	20	3	1	0	0		109	0	2	2	3	0	0	Susceptibility weighted brain images in NIFTI format. <p> The source DICOM images were acquired using the following parameters: <p> Resolution: 0.8x0.8x3 mm <br> Field-of-view: 256x288x48 matrix <br>Duration: 2.5 minutes <br>Two echos, TE=9.42,20 ms <br>2D, axial, in-plane acceleration iPAT=2, partial Fourier = 7/8, prescan-normalise <p> To date (Oct 2015) the magnitude and phase images have been saved for each RF coil and echo time separately. In future the expectation is to combine these on the scanner. <p> The average size of these NIFTI datasets is 35MB per participant.	2015-10-12T00:00:00	2023-02-12T00:00:00	42653	46957	100	3	2	3
20252	T1 structural brain images - NIFTI	0	2	0	41	0	20	3	1	0	0		110	0	2	2	3	0	0	T1 structural images in NIFTI format. <p> The source DICOM image was acquired using the following parameters: <p> Resolution: 1x1x1 mm <br> Field-of-view: 208x256x256 matrix <br> Scan duration: 5 minutes <br>3D MPRAGE, sagittal, in-plane acceleration iPAT=2, prescan-normalise <p> The average size of these NIFTI datasets is 50MB per participant.	2015-10-12T00:00:00	2023-02-12T00:00:00	49304	54515	100	3	2	3
20253	T2 FLAIR structural brain images - NIFTI	0	2	0	41	0	20	3	1	0	0		112	0	2	2	3	0	0	T2 FLAIR structural brain images in NIFTI format. <p> The source DICOM images were acquired using the following parameters: <p> Resolution: 1.05x1x1 mm <br>Field-of-view: 192x256x256 matrix <br>Duration: 6 minutes <br>3D SPACE, sagittal, in-plane acceleration iPAT=2, partial Fourier = 7/8, fat saturation, elliptical k-space scanning, prescannormalise <p> The average size of these NIFTI datasets is 30MB per participant.	2015-10-12T00:00:00	2023-02-12T00:00:00	48488	53658	100	3	2	3
20254	Liver imaging - IDEAL protocol - DICOM	0	2	0	41	0	20	0	1	0	0		126	0	2	2	3	0	0	Liver images collected using the "IDEAL" protocol.	2018-02-26T00:00:00	2023-03-10T00:00:00	51427	55958	110	3	2	3
20255	Spirometry QC measure	0	2	0	21	11	0	3	0	0	0		100020	1506	0	0	0	0	0	Methods for deriving this variable can be found in <br> Gupta RP, Strachan DP. Ventilatory function as a predictor of mortality in lifelong non-smokers: evidence from large British cohort studies. BMJ Open 2017;7:e015381. doi: 10.1136/bmjopen-2016-015381. Pubmed PMID: 28706094	2018-04-27T00:00:00	2018-05-02T00:00:00	379285	379285	210	1	1	1
20256	Forced expiratory volume in 1-second (FEV1) Z-score	0	2	0	31	0	0	3	0	0	0	Z	100020	0	0	0	0	0	0	Inverted GLI 2012 z-score for FEV1 (forced expiratory volume). <p> Methods for deriving this variable can be found in <br> Gupta RP, Strachan DP. Ventilatory function as a predictor of mortality in lifelong non-smokers: evidence from large British cohort studies. BMJ Open 2017;7:e015381. doi: 10.1136/bmjopen-2016-015381. Pubmed PMID: 28706094	2018-04-27T00:00:00	2018-05-02T00:00:00	379285	379285	390	1	1	1
20257	Forced vital capacity (FVC) Z-score	0	2	0	31	0	0	3	0	0	0	Z	100020	0	0	0	0	0	0	Inverted GLI 2012 z-score for FVC (forced vital capacity). <p> Methods for deriving this variable can be found in <br> Gupta RP, Strachan DP. Ventilatory function as a predictor of mortality in lifelong non-smokers: evidence from large British cohort studies. BMJ Open 2017;7:e015381. doi: 10.1136/bmjopen-2016-015381. Pubmed PMID: 28706094	2018-04-27T00:00:00	2018-05-02T00:00:00	379285	379285	330	1	1	1
20258	FEV1/ FVC ratio Z-score	0	2	0	31	0	0	3	0	0	0	Z	100020	0	0	0	0	0	0	Inverted GLI 2012 z-score for FEV1/FVC ratio. <p> Methods for deriving this variable can be found in <br> Gupta RP, Strachan DP. Ventilatory function as a predictor of mortality in lifelong non-smokers: evidence from large British cohort studies. BMJ Open 2017;7:e015381. doi: 10.1136/bmjopen-2016-015381. Pubmed PMID: 28706094	2018-04-27T00:00:00	2018-05-02T00:00:00	379285	379285	400	1	1	1
20259	Pancreas Images - ShMoLLI - DICOM	0	3	0	41	0	20	0	1	0	0		131	0	2	2	3	0	0	DICOM images of the pancreas collected using a T1 Shortened Modified Look-Locker Inversion (ShMoLLI) sequence.	2018-05-09T00:00:00	2023-03-10T00:00:00	51170	55561	0	3	2	3
20260	Pancreas Images - gradient echo - DICOM	0	3	0	41	0	20	0	1	0	0		131	0	2	2	3	0	0	DICOM images of the pancreas collected using a gradient multi echo sequence.	2018-05-09T00:00:00	2023-03-10T00:00:00	51291	55689	0	3	2	3
20261	avMSE	0	0	0	31	0	0	3	0	0	0	dioptres	100017	0	0	0	0	0	0	Specifies the mean spherical equivalent refractive error, averaged between the fellow eyes, in Dioptres. <br> <br>PI: Professor Jeremy Guggenheim <br> <br>Institution: Cardiff University <br><br>Derived variable from application 735/15716 - myopia variables. Used in the following publications: <br> <br> Related publications: <br><br>Guggenheim JA, Williams C, for the UK Biobank Eye and Vision Consortium. Role of Educational Exposure in the Association Between Myopia and Birth Order. JAMA Ophthalmol. 2015;133(12):1408 1414. doi:10.1001/jamaophthalmol.2015.3556 <br> <br>Guggenheim JA, Williams C, for the UK Biobank Eye and Vision Consortium. Childhood febrile illness and the risk of myopia in UK Biobank participants. Eye 2016; 30: 608 - 614 doi:10.1038/eye.2016.7	2018-05-18T00:00:00	2018-05-23T00:00:00	114661	114661	120	1	1	1
20262	Myopia diagnosis	0	0	0	21	11	0	3	0	0	0		100017	1543	0	0	0	0	0	Myopia classification <br> <br>Derived variable from application 735/15716 - myopia variables. Used in the following publications: <br> <br>Guggenheim JA, Williams C, for the UK Biobank Eye and Vision Consortium. Role of Educational Exposure in the Association Between Myopia and Birth Order. JAMA Ophthalmol. 2015;133(12):1408 1414. doi:10.1001/jamaophthalmol.2015.3556 <br> <br>Guggenheim JA, Williams C, for the UK Biobank Eye and Vision Consortium. Childhood febrile illness and the risk of myopia in UK Biobank participants. Eye 2016; 30: 608 - 614 doi:10.1038/eye.2016.7	2018-05-18T00:00:00	2018-05-23T00:00:00	114661	114661	110	1	1	1
20263	T1 surface model files and additional structural segmentations	0	2	0	41	0	20	3	1	0	0		110	0	2	2	3	0	0	Zip packages	2019-04-05T00:00:00	2021-12-10T00:00:00	43139	47768	120	3	2	3
20264	Kidney Imaging - gradient echo - DICOM	0	2	0	41	0	20	0	1	0	0		156	0	2	2	3	0	0	Contains gre_multi_echo_12_TE_kidney in DICOM format.	2021-02-11T00:00:00	2023-03-10T00:00:00	7290	7290	130	1	1	1
20265	Kidney Imaging - T2 haste - DICOM	0	2	0	41	0	20	0	1	0	0		156	0	2	3	3	0	0	Contains t2_haste_tra_p2_kidney in DICOM wrapper.	2021-02-11T00:00:00	2021-06-18T00:00:00	506	506	110	1	1	1
20266	Arterial spin labelling brain images - DICOM	0	2	0	41	0	20	0	1	0	0		119	0	2	2	3	0	0	Arterial spin labelling brain images in DICOM wrapper.	2021-02-11T00:00:00	2023-03-08T00:00:00	7364	7364	0	3	2	3
20267	Kidney imaging - T2 Vibe - DICOM	0	2	0	41	0	20	0	1	0	0		156	0	2	2	3	0	0	Kidney imaging - T2 Vibe - DICOM	2021-03-18T00:00:00	2023-03-10T00:00:00	6793	6793	120	1	1	1
20277	Job code at visit	0	2	0	21	11	0	3	1	0	0		100073	2	2	0	3	0	0	This is a truncated version of the fully detailed job codes where participants have been grouped at the "first 4 digits" level of ~C2~ to preserve anonymity. <p> It was derived from raw data held in ~F132~. The SOC scores for ~F20024~ where generated by running the CASCOT program on the free text job codes entered when ~F132~ was collected at the UKB clinics.	2020-01-12T00:00:00	2023-03-08T00:00:00	341834	400477	0	1	1	1
20400	Date of completing mental health questionnaire	0	2	0	51	0	0	0	0	0	0		136	0	0	0	0	0	0	Date of completing UK Biobank online mental health questionnaire.	2016-12-06T00:00:00	2017-07-28T00:00:00	157331	157331	0	1	1	1
20401	Ever addicted to any substance or behaviour	0	2	0	21	11	0	0	0	0	0		141	502	0	0	0	0	0	Question asked: "Have you been addicted to or dependent on one or more things, including substances (not cigarettes/coffee) or behaviours (such as gambling)?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	130	1	1	1
20403	Amount of alcohol drunk on a typical drinking day	0	2	0	21	11	0	0	0	0	0		142	522	0	0	0	0	0	Question asked: "In the next two questions, a "drink" is defined as one unit of alcohol. How many drinks containing alcohol do you have on a typical day when you are drinking?" <p>Question was asked when ~F20414~ was not Never.	2016-10-25T00:00:00	2017-07-28T00:00:00	143624	143624	110	1	1	1
20404	Ever physically dependent on alcohol	0	2	0	21	11	0	0	0	0	0		141	502	0	0	0	0	0	Question asked: "Have you been physically dependent on alcohol?" <p>Question was asked when ~F20406~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	3588	3588	190	1	1	1
20405	Ever had known person concerned about, or recommend reduction of, alcohol consumption	0	2	0	21	11	0	0	0	0	0		142	524	0	0	0	0	0	Question asked: "Has a relative or friend or a doctor or another health worker been concerned about your drinking or suggested you cut down?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	190	1	1	1
20406	Ever addicted to alcohol	0	2	0	21	11	0	0	0	0	0		141	502	0	0	0	0	0	Question asked: "Have you been addicted to alcohol?" <p>Question was asked when ~F20401~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	9375	9375	120	1	1	1
20407	Frequency of failure to fulfil normal expectations due to drinking alcohol in last year	0	2	0	21	11	0	0	0	0	0		142	523	0	0	0	0	0	Question asked: "How often during the last year have you failed to do what was normally expected from you because of drinking?" <p>Question was asked when the sum of the answer to ~F20403~ plus the answer to ~F20416~ was 3 or above. Participants responding "prefer not to answer" to one of these trigger questions were scored as 1 for that question.	2016-10-25T00:00:00	2017-07-28T00:00:00	85173	85173	140	1	1	1
20408	Frequency of memory loss due to drinking alcohol in last year	0	2	0	21	11	0	0	0	0	0		142	523	0	0	0	0	0	Question asked: "How often during the last year have you been unable to remember what happened the night before because you had been drinking?" <p>Question was asked when the sum of the answer to ~F20403~ plus the answer to ~F20416~ was 3 or above. Participants responding "prefer not to answer" to one of these trigger questions were scored as 1 for that question.	2016-10-25T00:00:00	2017-07-28T00:00:00	85173	85173	170	1	1	1
20409	Frequency of feeling guilt or remorse after drinking alcohol in last year	0	2	0	21	11	0	0	0	0	0		142	523	0	0	0	0	0	Question asked: "How often during the last year have you had a feeling of guilt or remorse after drinking?" <p>Question was asked when the sum of the answer to ~F20403~ plus the answer to ~F20416~ was 3 or above. Participants responding "prefer not to answer" to one of these trigger questions were scored as 1 for that question.	2016-10-25T00:00:00	2017-07-28T00:00:00	85173	85173	160	1	1	1
20410	Age when known person last commented about drinking habits	0	2	0	11	0	0	0	0	0	0		142	525	0	0	0	0	0	Question asked: "About how old were you when somebody last commented this way about your drinking habits?" <p>Question was asked when ~F20405~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	7020	7020	200	1	1	1
20411	Ever been injured or injured someone else through drinking alcohol	0	2	0	21	11	0	0	0	0	0		142	524	0	0	0	0	0	Question asked: "Have you or someone else been injured as a result of your drinking?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	180	1	1	1
20412	Frequency of needing morning drink of alcohol after heavy drinking session in last year	0	2	0	21	11	0	0	0	0	0		142	523	0	0	0	0	0	Question asked: "How often during the last year have you needed a first drink in the morning to get yourself going after a heavy drinking session?" <p>Question was asked when the sum of the answer to ~F20403~ plus the answer to ~F20416~ was 3 or above. Participants responding "prefer not to answer" to one of these trigger questions were scored as 1 for that question.	2016-10-25T00:00:00	2017-07-28T00:00:00	85173	85173	150	1	1	1
20413	Frequency of inability to cease drinking in last year	0	2	0	21	11	0	0	0	0	0		142	523	0	0	0	0	0	Question asked: "How often during the last year have you found that you were not able to stop drinking once you had started?" <p>Question was asked when the sum of the answer to ~F20403~ plus the answer to ~F20416~ was 3 or above. Participants responding "prefer not to answer" to one of these trigger questions were scored as 1 for that question.	2016-10-25T00:00:00	2017-07-28T00:00:00	85173	85173	130	1	1	1
20414	Frequency of drinking alcohol	0	2	0	21	11	0	0	0	0	0		142	521	0	0	0	0	0	Question asked: "How often do you have a drink containing alcohol?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	100	1	1	1
20415	Ongoing addiction to alcohol	0	2	0	21	11	0	0	0	0	0		141	503	0	0	0	0	0	Question asked: "Is this addiction ongoing?" <p>Question was asked when ~F20406~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	3588	3588	200	1	1	1
20416	Frequency of consuming six or more units of alcohol	0	2	0	21	11	0	0	0	0	0		142	523	0	0	0	0	0	Question asked: "In the next two questions, a "drink" is defined as one unit of alcohol. How often do you have six or more drinks on one occasion?" <p>Question was asked when ~F20414~ was not Never.	2016-10-25T00:00:00	2017-07-28T00:00:00	143624	143624	120	1	1	1
20417	Tense, sore, or aching muscles during worst period of anxiety	0	2	0	21	11	0	0	0	0	0		140	520	0	0	0	0	0	Question asked: "When you were worried or anxious, were you also: Having tense, sore, or aching muscles?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25T00:00:00	2017-07-28T00:00:00	48747	48747	0	1	1	1
20418	Impact on normal roles during worst period of anxiety	0	2	0	21	11	0	0	0	0	0		140	510	0	0	0	0	0	Question asked: "Think about your roles at the time of this episode, including study / employment, childcare and housework, leisure pursuits. How much did these problems interfere with your life or activities?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25T00:00:00	2017-07-28T00:00:00	48747	48747	0	1	1	1
20419	Difficulty concentrating during worst period of anxiety	0	2	0	21	11	0	0	0	0	0		140	520	0	0	0	0	0	Question asked: "When you were worried or anxious, were you also: Having difficulty keeping your mind on what you were doing?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25T00:00:00	2017-07-28T00:00:00	48747	48747	0	1	1	1
20420	Longest period spent worried or anxious	0	2	0	11	0	0	0	0	0	0		140	517	0	0	0	0	0	Question asked: "What is the longest period of time that this kind of worrying has ever continued?" <p>Question was asked when ~F20421~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	38988	38988	0	1	1	1
20421	Ever felt worried, tense, or anxious for most of a month or longer	0	2	0	21	11	0	0	0	0	0		140	502	0	0	0	0	0	Question asked: "Have you ever had a period lasting one month or longer when most of the time you felt worried, tense, or anxious?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	0	1	1	1
20422	More irritable than usual during worst period of anxiety	0	2	0	21	11	0	0	0	0	0		140	520	0	0	0	0	0	Question asked: "When you were worried or anxious, were you also: More irritable than usual?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25T00:00:00	2017-07-28T00:00:00	48747	48747	0	1	1	1
20423	Keyed up or on edge during worst period of anxiety	0	2	0	21	11	0	0	0	0	0		140	520	0	0	0	0	0	Question asked: "When you were worried or anxious, were you also: Keyed up or on edge?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25T00:00:00	2017-07-28T00:00:00	48747	48747	0	1	1	1
20425	Ever worried more than most people would in similar situation	0	2	0	21	11	0	0	0	0	0		140	502	0	0	0	0	0	Question asked: "People differ a lot in how much they worry about things. Did you ever have a time when you worried a lot more than most people would in your situation?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	0	1	1	1
20426	Restless during period of worst anxiety	0	2	0	21	11	0	0	0	0	0		140	520	0	0	0	0	0	Question asked: "When you were worried or anxious, were you also: Restless?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25T00:00:00	2017-07-28T00:00:00	48747	48747	0	1	1	1
20427	Frequent trouble falling or staying asleep during worst period of anxiety	0	2	0	21	11	0	0	0	0	0		140	520	0	0	0	0	0	Question asked: "When you were worried or anxious, were you also: Often having trouble falling or staying asleep?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25T00:00:00	2017-07-28T00:00:00	48747	48747	0	1	1	1
20428	Professional informed about anxiety	0	2	0	21	11	0	0	0	0	0		140	502	0	0	0	0	0	Question asked: "Did you ever tell a professional about these problems (medical doctor, psychologist, social worker, counsellor, nurse, clergy, or other helping professional)?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25T00:00:00	2017-07-28T00:00:00	48747	48747	0	1	1	1
20429	Easily tired during worst period of anxiety	0	2	0	21	11	0	0	0	0	0		140	520	0	0	0	0	0	Question asked: "When you were worried or anxious, were you also: Easily tired?" <p>uestion was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25T00:00:00	2017-07-28T00:00:00	48747	48747	0	1	1	1
20431	Ever addicted to a behaviour or miscellanous	0	2	0	21	11	0	0	0	0	0		141	502	0	0	0	0	0	Question asked: "Have you been addicted to a behaviour (such as gambling) or to anything else we have not mentioned?" <p>Question was asked when ~F20401~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	9375	9375	110	1	1	1
20432	Ongoing behavioural or miscellanous addiction	0	2	0	21	11	0	0	0	0	0		141	503	0	0	0	0	0	Question asked: "Are these addictions ongoing?" <p>Question was asked when ~F20431~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	2240	2240	210	1	1	1
20433	Age at first episode of depression	0	2	0	11	0	0	0	0	0	0		138	513	0	0	0	0	0	Question asked: "About how old were you the FIRST time you had a period of two weeks like this? (Whether or not you received any help for it.)" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	88999	88999	130	1	1	1
20434	Age at last episode of depression	0	2	0	11	0	0	0	0	0	0		138	513	0	0	0	0	0	Question asked: "About how old were you the LAST time you had a period of two weeks like this? (Whether or not you received any help for it.)" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	88999	88999	140	1	1	1
20435	Difficulty concentrating during worst depression	0	2	0	21	11	0	0	0	0	0		138	502	0	0	0	0	0	Question asked: "Did you have a lot more trouble concentrating than usual?" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	88999	88999	180	1	1	1
20436	Fraction of day affected during worst episode of depression	0	2	0	21	11	0	0	0	0	0		138	505	0	0	0	0	0	Question asked: "How much of the day did these feelings usually last?" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	88999	88999	220	1	1	1
20437	Thoughts of death during worst depression	0	2	0	21	11	0	0	0	0	0		138	502	0	0	0	0	0	Question asked: "Did you think a lot about death - either your own, someone else's or death in general?" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	88999	88999	370	1	1	1
20438	Duration of worst depression	0	2	0	21	11	0	0	0	0	0		138	509	0	0	0	0	0	Question asked: "About how long altogether did you feel this way? Count the time before, during and after the worst two weeks." <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	88999	88999	190	1	1	1
20439	Frequency of depressed days during worst episode of depression	0	2	0	21	11	0	0	0	0	0		138	506	0	0	0	0	0	Question asked: "Did you feel this way" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	88999	88999	230	1	1	1
20440	Impact on normal roles during worst period of depression	0	2	0	21	11	0	0	0	0	0		138	510	0	0	0	0	0	Question asked: "Think about your roles at the time of this episode, including study / employment, childcare and housework, leisure pursuits. How much did these problems interfere with your life or activities?" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	88999	88999	240	1	1	1
20441	Ever had prolonged loss of interest in normal activities	0	2	0	21	11	0	0	0	0	0		138	503	0	0	0	0	0	Question asked: "Have you ever had a time in your life lasting two weeks or more when you lost interest in most things like hobbies, work, or activities that usually give you pleasure?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	110	1	1	1
20442	Lifetime number of depressed periods	0	2	0	11	0	0	0	0	0	0		138	511	0	0	0	0	0	Question asked: "How many periods did you have in your life lasting two or more weeks where you felt like this?" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	88999	88999	250	1	1	1
20445	Depression possibly related to childbirth	0	2	0	21	11	0	0	0	0	0		138	514	0	0	0	0	0	Question asked: "Did this episode occur within months of giving birth? Or has it been suggested you had post-natal depression?" <p>Question was asked for women (only) when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	88999	88999	150	1	1	1
20446	Ever had prolonged feelings of sadness or depression	0	2	0	21	11	0	0	0	0	0		138	503	0	0	0	0	0	Question asked: "Have you ever had a time in your life when you felt sad, blue, or depressed for two weeks or more in a row?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	100	1	1	1
20447	Depression possibly related to stressful or traumatic event	0	2	0	21	11	0	0	0	0	0		138	503	0	0	0	0	0	Question asked: "Did this worst period start within two months of the death of someone close to you or after a stressful or traumatic event in your life?" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	88999	88999	160	1	1	1
20448	Professional informed about depression	0	2	0	21	11	0	0	0	0	0		138	502	0	0	0	0	0	Question asked: "Did you ever tell a professional about these problems (medical doctor, psychologist, social worker, counsellor, nurse, clergy, or other helping professional)?" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	88999	88999	260	1	1	1
20449	Feelings of tiredness during worst episode of depression	0	2	0	21	11	0	0	0	0	0		138	502	0	0	0	0	0	Question asked: "Did you feel more tired out or low on energy than is usual for you?" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	88999	88999	200	1	1	1
20450	Feelings of worthlessness during worst period of depression	0	2	0	21	11	0	0	0	0	0		138	502	0	0	0	0	0	Question asked: "People sometimes feel down on themselves, no good, worthless. Did you feel this way?" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	88999	88999	210	1	1	1
20453	Ever taken cannabis	0	2	0	21	11	0	0	0	0	0		143	526	0	0	0	0	0	Question asked: "Have you taken CANNABIS (marijuana, grass, hash, ganja, blow, draw, skunk, weed, spliff, dope), even if it was a long time ago?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	0	1	1	1
20454	Maximum frequency of taking cannabis	0	2	0	21	11	0	0	0	0	0		143	527	0	0	0	0	0	Question asked: "Considering when you were taking cannabis most regularly, how often did you take it?" <p>Question was asked unless the answer to ~F20453~ was No.	2016-10-25T00:00:00	2017-07-28T00:00:00	34863	34863	0	1	1	1
20455	Age when last took cannabis	0	2	0	11	0	0	0	0	0	0		143	0	0	0	0	0	0	Question asked: "About how old were you when you last had cannabis?" <p>Question was asked unless the answer to ~F20453~ was No.	2016-10-25T00:00:00	2017-07-28T00:00:00	34863	34863	0	1	1	1
20456	Ever addicted to illicit or recreational drugs	0	2	0	21	11	0	0	0	0	0		141	502	0	0	0	0	0	Question asked: "Have you been addicted to Illicit or recreational drugs?" <p>Question was asked when ~F20401~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	9375	9375	140	1	1	1
20457	Ongoing addiction or dependence on illicit or recreational drugs	0	2	0	21	11	0	0	0	0	0		141	503	0	0	0	0	0	Question asked: "Is this addiction or dependence ongoing?" <p>Question was asked when ~F20456~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	776	776	150	1	1	1
20458	General happiness	0	2	0	21	11	0	0	0	0	0		147	537	0	0	0	0	0	Question asked: "In general how happy are you?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	100	1	1	1
20459	General happiness with own health	0	2	0	21	11	0	0	0	0	0		147	537	0	0	0	0	0	Question asked: "In general how happy are you with your HEALTH?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	110	1	1	1
20460	Belief that own life is meaningful	0	2	0	21	11	0	0	0	0	0		147	538	0	0	0	0	0	Question asked: "To what extent do you feel your life to be meaningful?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	120	1	1	1
20461	Age when first had unusual or psychotic experience	0	2	0	11	0	0	0	0	0	0		144	530	0	0	0	0	0	Question asked: "How old were you (approximately) when you first had one of these experiences (seeing a vision, hearing a voice, or believing that something strange was trying to communicate with you, or there was a plot against you)?" <p>Question was asked when ~F20471~ was Yes or ~F20463~ was Yes or ~F20474~ was Yes or ~F20468~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	7798	7798	0	1	1	1
20462	Distress caused by unusual or psychotic experiences	0	2	0	21	11	0	0	0	0	0		144	531	0	0	0	0	0	Question asked: "How distressing did you find having any of these experiences (seeing a vision, hearing a voice, or believing that something strange was trying to communicate with you, or there was a plot against you)?" <p>Question was asked when ~F20471~ was Yes or ~F20463~ was Yes or ~F20474~ was Yes or ~F20468~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	7798	7798	0	1	1	1
20463	Ever heard an un-real voice	0	2	0	21	11	0	0	0	0	0		144	502	0	0	0	0	0	Question asked: "Did you ever hear things that other people said did not exist, like strange voices coming from inside your head talking to you or about you, or voices coming out of the air when there was no one around?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	0	1	1	1
20465	Number of times heard an un-real voice	0	2	0	11	0	0	0	0	0	0		144	528	0	0	0	0	0	Question asked: "About how many times in your life did this happen (when you were not dreaming, not half-asleep, and not under the influence of alcohol or drugs)? [hear things]" <p>Question was asked when ~F20463~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	2774	2774	0	1	1	1
20466	Ever prescribed a medication for unusual or psychotic experiences	0	2	0	21	11	0	0	0	0	0		144	502	0	0	0	0	0	Question asked: "Were you ever prescribed a medication by a health professional for any of these experiences (seeing a vision, hearing a voice, or believing that something strange was trying to communicate with you, or there was a plot against you)?" <p>Question was asked when ~F20471~ was Yes or ~F20463~ was Yes or ~F20474~ was Yes or ~F20468~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	7798	7798	0	1	1	1
20467	Frequency of unusual or psychotic experiences in past year	0	2	0	21	11	0	0	0	0	0		144	529	0	0	0	0	0	Question asked: "How often did any of these experiences happen in the past 1 year (seeing a vision, hearing a voice, or believing that something strange was trying to communicate with you, or there was a plot against you)?" <p>Question was asked when ~F20471~ was Yes or ~F20463~ was Yes or ~F20474~ was Yes or ~F20468~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	7798	7798	0	1	1	1
20468	Ever believed in an un-real conspiracy against self	0	2	0	21	11	0	0	0	0	0		144	502	0	0	0	0	0	Question asked: "Did you ever believe that there was an unjust plot going on to harm you or to have people follow you, and which your family and friends did not believe existed?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	0	1	1	1
20470	Number of times believed in an un-real conspiracy against self	0	2	0	11	0	0	0	0	0	0		144	528	0	0	0	0	0	Question asked: "About how many times in your life did this happen (when you were not dreaming, not half-asleep, and not under the influence of alcohol or drugs)? [plot]" <p>Question was asked when ~F20468~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	1261	1261	0	1	1	1
20471	Ever seen an un-real vision	0	2	0	21	11	0	0	0	0	0		144	502	0	0	0	0	0	Question asked: "Did you ever see something that wasn't really there that other people could not see?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	0	1	1	1
20473	Number of times seen an un-real vision	0	2	0	11	0	0	0	0	0	0		144	528	0	0	0	0	0	Question asked: "About how many times in your life did this happen (when you were not dreaming, not half-asleep, and not under the influence of alcohol or drugs)? [see things]" <p>Question was asked when ~F20471~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	5027	5027	0	1	1	1
20474	Ever believed in un-real communications or signs	0	2	0	21	11	0	0	0	0	0		144	502	0	0	0	0	0	Question asked: "Did you ever believe that a strange force was trying to communicate directly with you by sending special signs or signals that you could understand but that no one else could understand (for example through the radio or television)?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	0	1	1	1
20476	Number of times believed in un-real communications or signs	0	2	0	11	0	0	0	0	0	0		144	528	0	0	0	0	0	Question asked: "About how many times in your life did this happen (when you were not dreaming, not half-asleep, and not under the influence of alcohol or drugs)? [signs]" <p>Question was asked when ~F20474~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	1136	1136	0	1	1	1
20477	Ever talked to a health professional about unusual or psychotic experiences	0	2	0	21	11	0	0	0	0	0		144	502	0	0	0	0	0	Question asked: "Did you ever talk to a doctor, counsellor, psychiatrist or other health professional about any of these experiences (seeing a vision, hearing a voice, or believing that something strange was trying to communicate with you, or there was a plot against you)?" <p>Question was asked when ~F20471~ was Yes or ~F20463~ was Yes or ~F20474~ was Yes or ~F20468~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	7798	7798	0	1	1	1
20479	Ever thought that life not worth living	0	2	0	21	11	0	0	0	0	0		146	535	0	0	0	0	0	Question asked: "Many people have thoughts that life is not worth living. Have you felt that way?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	100	1	1	1
20480	Ever self-harmed	0	2	0	21	11	0	0	0	0	0		146	503	0	0	0	0	0	Question asked: "Have you deliberately harmed yourself, whether or not you meant to end your life?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	130	1	1	1
20481	Self-harmed in past year	0	2	0	21	11	0	0	0	0	0		146	503	0	0	0	0	0	Question asked: "Have you harmed yourself in the last 12 months, whether or not you meant to end your life?" <p>Question was asked when ~F20480~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	6861	6861	150	1	1	1
20482	Number of times self-harmed	0	2	0	21	11	0	0	0	0	0		146	536	0	0	0	0	0	Question asked: "How many times have you harmed yourself?" <p>Question was asked when ~F20480~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	6861	6861	140	1	1	1
20483	Ever attempted suicide	0	2	0	21	11	0	0	0	0	0		146	503	0	0	0	0	0	Question asked: "Have you harmed yourself with the intention to end your life?" <p>Question was asked when ~F20480~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	6861	6861	180	1	1	1
20484	Attempted suicide in past year	0	2	0	21	11	0	0	0	0	0		146	503	0	0	0	0	0	Question asked: "Was this in the last 12 months?" <p>Question was asked when ~F20483~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	3558	3558	190	1	1	1
20485	Ever contemplated self-harm	0	2	0	21	11	0	0	0	0	0		146	535	0	0	0	0	0	Question asked: "Have you contemplated harming yourself (for example by cutting, biting, hitting yourself or taking an overdose)?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	110	1	1	1
20486	Contemplated self-harm in past year	0	2	0	21	11	0	0	0	0	0		146	503	0	0	0	0	0	Question asked: "Have you felt this way in the last 12 months?" <p>Question was asked when ~F20485~ was any Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	23170	23170	120	1	1	1
20487	Felt hated by family member as a child	0	2	0	21	11	0	0	0	0	0		145	532	0	0	0	0	0	Question asked: "When I was growing up... I felt that someone in my family hated me"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	120	1	1	1
20488	Physically abused by family as a child	0	2	0	21	11	0	0	0	0	0		145	532	0	0	0	0	0	Question asked: "When I was growing up... People in my family hit me so hard that it left me with bruises or marks"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	110	1	1	1
20489	Felt loved as a child	0	2	0	21	11	0	0	0	0	0		145	532	0	0	0	0	0	Question asked: "When I was growing up... I felt loved"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	100	1	1	1
20490	Sexually molested as a child	0	2	0	21	11	0	0	0	0	0		145	532	0	0	0	0	0	Question asked: "When I was growing up... Someone molested me (sexually)"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	130	1	1	1
20491	Someone to take to doctor when needed as a child	0	2	0	21	11	0	0	0	0	0		145	532	0	0	0	0	0	Question asked: "When I was growing up... There was someone to take me to the doctor if I needed it"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	140	1	1	1
20492	Longest period of mania or irritability	0	2	0	21	11	0	0	0	0	0		139	515	0	0	0	0	0	Question asked: "What is the longest time that these "high" or "irritable" periods have lasted?" <p>Question was asked when ~F20501~ was Yes or ~F20502~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	42476	42476	0	1	1	1
20493	Severity of problems due to mania or irritability	0	2	0	21	11	0	0	0	0	0		139	516	0	0	0	0	0	Question asked: "How much of a problem have these "high" or "irritable" periods caused you?" <p>Question was asked when ~F20501~ was Yes or ~F20502~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	42476	42476	0	1	1	1
20494	Felt irritable or had angry outbursts in past month	0	2	0	21	11	0	0	0	0	0		145	534	0	0	0	0	0	Question asked: "Please indicate how much you have been bothered by that problem in the past month: Feeling irritable or having angry outbursts?" <p>Question was asked when ~F20497~ or ~F20498~ or ~F20495~ was at least "A little bit".	2016-10-25T00:00:00	2017-07-28T00:00:00	71159	71159	300	1	1	1
20495	Avoided activities or situations because of previous stressful experience in past month	0	2	0	21	11	0	0	0	0	0		145	534	0	0	0	0	0	Question asked: "Next is a list of problems and complaints that people sometimes have in response to such extremely stressful experiences. Please indicate how much you have been bothered by that problem in the past month: Avoiding activities or situations because they reminded you of a stressful experience?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	280	1	1	1
20496	Felt distant from other people in past month	0	2	0	21	11	0	0	0	0	0		145	534	0	0	0	0	0	Question asked: "Please indicate how much you have been bothered by that problem in the past month: Feeling distant or cut off from other people?" <p>Question was asked when ~F20497~ or ~F20498~ or ~F20495~ was at least "A little bit".	2016-10-25T00:00:00	2017-07-28T00:00:00	71159	71159	290	1	1	1
20497	Repeated disturbing thoughts of stressful experience in past month	0	2	0	21	11	0	0	0	0	0		145	534	0	0	0	0	0	Question asked: "Next is a list of problems and complaints that people sometimes have in response to such extremely stressful experiences. Please indicate how much you have been bothered by that problem in the past month: Repeated, disturbing memories, thoughts, or images of a stressful experience?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	260	1	1	1
20498	Felt very upset when reminded of stressful experience in past month	0	2	0	21	11	0	0	0	0	0		145	534	0	0	0	0	0	Question asked: "Next is a list of problems and complaints that people sometimes have in response to such extremely stressful experiences. Please indicate how much you have been bothered by that problem in the past month: Feeling very upset when something reminded you of a stressful experience?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	270	1	1	1
20499	Ever sought or received professional help for mental distress	0	2	0	21	11	0	0	0	0	0		137	502	0	0	0	0	0	Question asked: "In your life, did you seek or receive help from a professional (medical doctor, psychologist, social worker, counsellor, nurse, clergy, or other helping professional) for mental distress, psychological problems or unusual experiences?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	0	1	1	1
20500	Ever suffered mental distress preventing usual activities	0	2	0	21	11	0	0	0	0	0		137	502	0	0	0	0	0	Question asked: "In your life, have you suffered from a period of mental distress that prevented you from doing your usual activities?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	0	1	1	1
20501	Ever had period of mania / excitability	0	2	0	21	11	0	0	0	0	0		139	502	0	0	0	0	0	Question asked: "Have you ever had a period of time when you were feeling so good, "high", "excited", or "hyper" that other people thought you were not your normal self or you were so "hyper" that you got into trouble?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	0	1	1	1
20502	Ever had period extreme irritability	0	2	0	21	11	0	0	0	0	0		139	502	0	0	0	0	0	Question asked: "Have you ever had a period of time when you were so irritable that you found yourself shouting at people or starting fights or arguments?"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	0	1	1	1
20503	Ever addicted to prescription or over-the-counter medication	0	2	0	21	11	0	0	0	0	0		141	502	0	0	0	0	0	Question asked: "Have you been addicted to or dependent on prescription or over-the-counter medication?" <p>Question was asked when ~F20401~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	9375	9375	160	1	1	1
20504	Ongoing addiction or dependence to over-the-counter medication	0	2	0	21	11	0	0	0	0	0		141	503	0	0	0	0	0	Question asked: "Is this addiction or dependence ongoing?" <p>Question was asked when ~F20503~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	1317	1317	170	1	1	1
20505	Recent easy annoyance or irritability	0	2	0	21	11	0	0	0	0	0		140	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [anxiety symptoms] Becoming easily annoyed or irritable"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	0	1	1	1
20506	Recent feelings or nervousness or anxiety	0	2	0	21	11	0	0	0	0	0		140	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [anxiety symptoms] Feeling nervous, anxious or on edge"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	0	1	1	1
20507	Recent feelings of inadequacy	0	2	0	21	11	0	0	0	0	0		138	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [depressive symptoms] Feeling bad about yourself or that you are a failure or have let yourself or your family down"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	290	1	1	1
20508	Recent trouble concentrating on things	0	2	0	21	11	0	0	0	0	0		138	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [depressive symptoms] Trouble concentrating on things, such as reading the newspaper or watching television"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	340	1	1	1
20509	Recent inability to stop or control worrying	0	2	0	21	11	0	0	0	0	0		140	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [anxiety symptoms] Not being able to stop or control worrying"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	0	1	1	1
20510	Recent feelings of depression	0	2	0	21	11	0	0	0	0	0		138	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [depressive symptoms] Feeling down, depressed, or hopeless"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	280	1	1	1
20511	Recent poor appetite or overeating	0	2	0	21	11	0	0	0	0	0		138	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [depressive symptoms] Poor appetite or overeating"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	320	1	1	1
20512	Recent feelings of foreboding	0	2	0	21	11	0	0	0	0	0		140	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [anxiety symptoms] Feeling afraid as if something awful might happen"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	0	1	1	1
20513	Recent thoughts of suicide or self-harm	0	2	0	21	11	0	0	0	0	0		138	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [depressive symptoms] Thoughts that you would be better off dead or of hurting yourself in some way"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	330	1	1	1
20514	Recent lack of interest or pleasure in doing things	0	2	0	21	11	0	0	0	0	0		138	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [depressive symptoms] Little interest or pleasure in doing things"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	310	1	1	1
20515	Recent trouble relaxing	0	2	0	21	11	0	0	0	0	0		140	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [anxiety symptoms] Trouble relaxing"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	0	1	1	1
20516	Recent restlessness	0	2	0	21	11	0	0	0	0	0		140	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [anxiety symptoms] Being so restless that it is hard to sit still"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	0	1	1	1
20517	Trouble falling or staying asleep, or sleeping too much	0	2	0	21	11	0	0	0	0	0		138	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [depressive symptoms] Trouble falling or staying asleep, or sleeping too much"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	390	1	1	1
20518	Recent changes in speed/amount of moving or speaking	0	2	0	21	11	0	0	0	0	0		138	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [depressive symptoms] Moving or speaking so slowly that other people could have noticed?  Or the opposite - being so fidgety or restless that you have been moving around a lot more than usual"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	270	1	1	1
20519	Recent feelings of tiredness or low energy	0	2	0	21	11	0	0	0	0	0		138	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [depressive symptoms] Feeling tired or having little energy"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	300	1	1	1
20520	Recent worrying too much about different things	0	2	0	21	11	0	0	0	0	0		140	504	0	0	0	0	0	Question asked: "Over the last 2 weeks, how often have you been bothered by any of the following problems? [anxiety symptoms] Worrying too much about different things"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	0	1	1	1
20521	Belittlement by partner or ex-partner as an adult	0	2	0	21	11	0	0	0	0	0		145	532	0	0	0	0	0	Question asked: "Since I was sixteen... A partner or ex-partner repeatedly belittled me to the extent that I felt worthless"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	170	1	1	1
20522	Been in a confiding relationship as an adult	0	2	0	21	11	0	0	0	0	0		145	532	0	0	0	0	0	Question asked: "Since I was sixteen... I have been in a confiding relationship"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	150	1	1	1
20523	Physical violence by partner or ex-partner as an adult	0	2	0	21	11	0	0	0	0	0		145	532	0	0	0	0	0	Question asked: "Since I was sixteen... A partner or ex-partner deliberately hit me or used violence in any other way"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	160	1	1	1
20524	Sexual interference by partner or ex-partner without consent as an adult	0	2	0	21	11	0	0	0	0	0		145	532	0	0	0	0	0	Question asked: "Since I was sixteen... A partner or ex-partner sexually interfered with me, or forced me to have sex against my wishes"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	180	1	1	1
20525	Able to pay rent/mortgage as an adult	0	2	0	21	11	0	0	0	0	0		145	532	0	0	0	0	0	Question asked: "Since I was sixteen... There was money to pay the rent or mortgage when I needed it"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	190	1	1	1
20526	Been in serious accident believed to be life-threatening	0	2	0	21	11	0	0	0	0	0		145	533	0	0	0	0	0	Question asked: "In your life, have you...? Been in a serious accident that you believed to be life-threatening at the time"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	220	1	1	1
20527	Been involved in combat or exposed to war-zone	0	2	0	21	11	0	0	0	0	0		145	533	0	0	0	0	0	Question asked: "In your life, have you...? Been involved in combat or exposed to a war-zone (either in the military or as a civilian)"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	250	1	1	1
20528	Diagnosed with life-threatening illness	0	2	0	21	11	0	0	0	0	0		145	533	0	0	0	0	0	Question asked: "In your life, have you...? Been diagnosed with a life-threatening illness"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	240	1	1	1
20529	Victim of physically violent crime	0	2	0	21	11	0	0	0	0	0		145	533	0	0	0	0	0	Question asked: "In your life, have you...? Been attacked, mugged, robbed, or been the victim of a physically violent crime"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	210	1	1	1
20530	Witnessed sudden violent death	0	2	0	21	11	0	0	0	0	0		145	533	0	0	0	0	0	Question asked: "In your life, have you...? Witnessed a sudden violent death (eg. murder, suicide, aftermath of an accident)"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	230	1	1	1
20531	Victim of sexual assault	0	2	0	21	11	0	0	0	0	0		145	533	0	0	0	0	0	Question asked: "In your life, have you...? Been a victim of a sexual assault, whether by a stranger or someone you knew"	2016-10-25T00:00:00	2017-07-28T00:00:00	157300	157300	200	1	1	1
20532	Did your sleep change?	0	2	0	21	11	0	0	0	0	0		138	502	0	0	0	0	0	Question asked: "Did your sleep change?" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	88999	88999	170	1	1	1
20533	Trouble falling asleep	0	2	0	21	11	0	0	0	0	0		138	508	0	0	0	0	0	Question asked: "Was that: [re sleep change] Trouble falling asleep" <p>Question was asked when ~F20532~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	60878	60878	380	1	1	1
20534	Sleeping too much	0	2	0	21	11	0	0	0	0	0		138	508	0	0	0	0	0	Question asked: "Was that: [re sleep change] Sleeping too much" <p>Question was asked when ~F20532~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	60878	60878	350	1	1	1
20535	Waking too early	0	2	0	21	11	0	0	0	0	0		138	508	0	0	0	0	0	Question asked: "Was that: [re sleep change] Waking too early" <p>Question was asked when ~F20532~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	60878	60878	400	1	1	1
20536	Weight change during worst episode of depression	0	2	0	21	11	0	0	0	0	0		138	507	0	0	0	0	0	Question asked: "Did you gain or lose weight without trying, or did you stay about the same weight?" <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	88999	88999	410	1	1	1
20537	Frequency of difficulty controlling worry during worst period of anxiety	0	2	0	21	11	0	0	0	0	0		140	519	0	0	0	0	0	Question asked: "Please think of the period in your life when you have felt worried, tense, anxious, or more worried than most people would in your situation. This could be in the past, or it could be continuing now. How often did you find it difficult to control your worry?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25T00:00:00	2017-07-28T00:00:00	48747	48747	0	1	1	1
20538	Worried most days during period of worst anxiety	0	2	0	21	11	0	0	0	0	0		140	502	0	0	0	0	0	Question asked: "Please think of the period in your life when you have felt worried, tense, anxious, or more worried than most people would in your situation. This could be in the past, or it could be continuing now. Did you worry most days?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25T00:00:00	2017-07-28T00:00:00	48747	48747	0	1	1	1
20539	Frequency of inability to stop worrying during worst period of anxiety	0	2	0	21	11	0	0	0	0	0		140	519	0	0	0	0	0	Question asked: "Please think of the period in your life when you have felt worried, tense, anxious, or more worried than most people would in your situation. This could be in the past, or it could be continuing now. How often was your worry so strong that you couldn't put it out of your mind no matter how hard you tried?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25T00:00:00	2017-07-28T00:00:00	48747	48747	0	1	1	1
20540	Multiple worries during worst period of anxiety	0	2	0	21	11	0	0	0	0	0		140	502	0	0	0	0	0	Question asked: "Please think of the period in your life when you have felt worried, tense, anxious, or more worried than most people would in your situation. This could be in the past, or it could be continuing now. Did you ever have different worries on your mind at the same time?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25T00:00:00	2017-07-28T00:00:00	48747	48747	0	1	1	1
20541	Difficulty stopping worrying during worst period of anxiety	0	2	0	21	11	0	0	0	0	0		140	502	0	0	0	0	0	Question asked: "Please think of the period in your life when you have felt worried, tense, anxious, or more worried than most people would in your situation. This could be in the past, or it could be continuing now. Did you find it difficult to stop worrying?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25T00:00:00	2017-07-28T00:00:00	48747	48747	0	1	1	1
20542	Stronger worrying (than other people) during period of worst anxiety	0	2	0	21	11	0	0	0	0	0		140	502	0	0	0	0	0	Question asked: "Please think of the period in your life when you have felt worried, tense, anxious, or more worried than most people would in your situation. This could be in the past, or it could be continuing now. During that period, was your worry stronger than in other people?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25T00:00:00	2017-07-28T00:00:00	48747	48747	0	1	1	1
20543	Number of things worried about during worst period of anxiety	0	2	0	21	11	0	0	0	0	0		140	518	0	0	0	0	0	Question asked: "Please think of the period in your life when you have felt worried, tense, anxious, or more worried than most people would in your situation. This could be in the past, or it could be continuing now. Did you usually worry about one particular thing, such as your job security or the failing health of a loved one, or more than one thing?" <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25T00:00:00	2017-07-28T00:00:00	48747	48747	0	1	1	1
20544	Mental health problems ever diagnosed by a professional	0	2	0	22	11	0	0	0	1	0		137	1401	0	0	0	1	16	Question asked: "Have you been diagnosed with one or more of the following mental health problems by a professional, even if you don't have it currently? (tick all that apply):"<p>Participant was offered a set of options which have been combined here into a single answer	2016-10-25T00:00:00	2017-07-28T00:00:00	50069	74825	0	1	1	1
20546	Substances taken for depression	0	2	0	22	11	0	0	0	1	0		138	1405	0	0	0	1	3	Question asked: "Did you ever try the following for these problems? (tick all that apply)" <p>Participant was offered a set of options which have been combined here into a single answer <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	45691	54549	360	1	1	1
20547	Activities undertaken to treat depression	0	2	0	22	11	0	0	0	1	0		138	1406	0	0	0	1	2	Question asked: "Did you ever try talking therapies for these problems, or other structured activities you regard as therapeutic? Include only those you attended more than once." <p>Participant was offered a set of options which have been combined here into a single answer <p>Question was asked when ~F20446~ was Yes or ~F20441~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	40316	47660	120	1	1	1
20548	Manifestations of mania or irritability	0	2	0	22	11	0	0	0	1	0		139	1407	0	0	0	1	8	Question asked: "Please try to remember a period when you were in a "high" or "irritable" state and select all of the following that apply:" <p>Participant was offered a set of options which have been combined here into a single answer <p>Question was asked when ~F20501~ was Yes or ~F20502~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	29033	74810	0	1	1	1
20549	Substances taken for anxiety	0	2	0	22	11	0	0	0	1	0		140	1405	0	0	0	1	3	Question asked: "Did you ever use the following for the worry or the problems it caused? (tick all that apply):" <p>Participant was offered a set of options which have been combined here into a single answer <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25T00:00:00	2017-07-28T00:00:00	26488	32384	0	1	1	1
20550	Activities undertaken to treat anxiety	0	2	0	22	11	0	0	0	1	0		140	1406	0	0	0	1	2	Question asked: "Did you ever try talking therapies for these problems, or other structured activities you regard as therapeutic? Include only those you attended more than once." <p>Participant was offered a set of options which have been combined here into a single answer <p>Question was asked when ~F20425~ was Yes or ~F20420~ was at least 6 months.	2016-10-25T00:00:00	2017-07-28T00:00:00	24195	29141	0	1	1	1
20551	Substance of prescription or over-the-counter medication addiction	0	2	0	22	11	0	0	0	1	0		141	1414	0	0	0	1	3	Question asked: "Was this addiction or dependence to one of the following? (tick all that apply)" <p>Participant was offered a set of options which have been combined here into a single answer <p>Question was asked when ~F20503~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	1317	1430	180	1	1	1
20552	Behavioural and miscellaneous addictions	0	2	0	22	11	0	0	0	1	0		141	1415	0	0	0	1	2	Question asked: "Were you addicted to (tick all that apply):" <p>Participant was offered a set of options which have been combined here into a single answer <p>Question was asked when ~F20431~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	2240	2326	100	1	1	1
20553	Methods of self-harm used	0	2	0	22	11	0	0	0	1	0		146	1422	0	0	0	1	6	Question asked: "Have you done any of the following to harm or endanger yourself? (tick all that apply):" <p>Participant was offered a set of options which have been combined here into a single answer <p>Question was asked when ~F20480~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	6861	9522	160	1	1	1
20554	Actions taken following self-harm	0	2	0	22	11	0	0	0	1	0		146	1423	0	0	0	1	5	Question asked: "Following any time when you took an overdose or deliberately tried to harm yourself did you (tick all that apply):" <p>Participant was offered a set of options which have been combined here into a single answer <p>Question was asked when ~F20480~ was Yes.	2016-10-25T00:00:00	2017-07-28T00:00:00	4328	9422	170	1	1	1
20599	Order of asking questions	0	2	0	101	0	0	0	0	0	0		1039	0	0	0	0	0	0	Questions were asked in a random order to each participant. This data-field indicates the ordering for a particular participant	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	100	1	1	1
20600	Liking for adding salt to foods	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for adding salt to foods measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	110	1	1	1
20601	Liking for aniseed	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for aniseed measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	120	1	1	1
20602	Liking for apple juice	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for apple juice measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	130	1	1	1
20603	Liking for apples	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for apples measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	140	1	1	1
20604	Liking for asparagus	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for asparagus measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	150	1	1	1
20605	Liking for aubergine	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for aubergine measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	160	1	1	1
20606	Liking for avocados	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for avocados measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	170	1	1	1
20607	Liking for bacon	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for bacon measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	180	1	1	1
20608	Liking for baked/steamed fish	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for baked/steamed fish measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	190	1	1	1
20609	Liking for bananas	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for bananas measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	200	1	1	1
20610	Liking for barbequed or grilled meat	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for barbequed or grilled meat measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	210	1	1	1
20611	Liking for beef steak	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for beef steak measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	220	1	1	1
20612	Liking for beetroot	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for beetroot measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	230	1	1	1
20613	Liking for bell pepper	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for bell pepper measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	240	1	1	1
20614	Liking for bicycling	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for bicycling measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	250	1	1	1
20615	Liking for biscuits	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for biscuits measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	260	1	1	1
20616	Liking for bitter foods	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for bitter foods measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	270	1	1	1
20617	Liking for bitter/ale	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for bitter/ale measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	280	1	1	1
20618	Liking for black olives	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for black olives measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	290	1	1	1
20619	Liking for black pepper	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for black pepper measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	300	1	1	1
20620	Liking for blue cheese	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for blue cheese measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	310	1	1	1
20621	Liking for bolognese sauce	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for bolognese sauce measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	320	1	1	1
20622	Liking for broad beans	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for broad beans measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	330	1	1	1
20623	Liking for broccoli	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for broccoli measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	340	1	1	1
20624	Liking for brown rice	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for brown rice measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182163	182163	350	1	1	1
20625	Liking for brussel sprouts	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for brussel sprouts measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	360	1	1	1
20626	Liking for burgers (meat)	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for burgers (meat) measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	370	1	1	1
20627	Liking for burn of spicy foods	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for burn of spicy foods measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	380	1	1	1
20628	Liking for butter on bread	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for butter on bread measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	390	1	1	1
20629	Liking for butternut squash	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for butternut squash measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	400	1	1	1
20630	Liking for cabbage	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for cabbage measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	410	1	1	1
20631	Liking for cake	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for cake measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	420	1	1	1
20632	Liking for cake icing	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for cake icing measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	430	1	1	1
20633	Liking for capers	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for capers measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	440	1	1	1
20634	Liking for cauliflower	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for cauliflower measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	450	1	1	1
20635	Liking for cereal/granola bar	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for cereal/granola bar measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	460	1	1	1
20636	Liking for cheesecake	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for cheesecake measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	470	1	1	1
20637	Liking for cherries	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for cherries measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	480	1	1	1
20638	Liking for chicken	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for chicken measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182163	182163	490	1	1	1
20639	Liking for chilli pepper	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for chilli pepper measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	500	1	1	1
20640	Liking for chips/french fries	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for chips/french fries measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182163	182163	510	1	1	1
20641	Liking for cigarette smoking	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for cigarette smoking measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	520	1	1	1
20642	Liking for cod	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for cod measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	530	1	1	1
20643	Liking for coffee with sugar	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for coffee with sugar measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	540	1	1	1
20644	Liking for coffee without sugar 	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for coffee without sugar  measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	550	1	1	1
20645	Liking for coriander	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for coriander measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	560	1	1	1
20646	Liking for corn flakes	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for corn flakes measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	570	1	1	1
20647	Liking for cream	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for cream measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	580	1	1	1
20648	Liking for croissant	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for croissant measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	590	1	1	1
20649	Liking for cucumber	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for cucumber measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	600	1	1	1
20650	Liking for curry	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for curry measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	610	1	1	1
20651	Liking for dairy products	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for dairy products measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	620	1	1	1
20652	Liking for dark chocolate	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for dark chocolate measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	630	1	1	1
20653	Liking for diet fizzy drinks	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for diet fizzy drinks measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182163	182163	640	1	1	1
20654	Liking for dried fruit	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for dried fruit measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	650	1	1	1
20655	Liking for eggs	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for eggs measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	660	1	1	1
20656	Liking for exercising alone	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for exercising alone measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	670	1	1	1
20657	Liking for exercising with others	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for exercising with others measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	680	1	1	1
20658	Liking for extra virgin olive oil	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for extra virgin olive oil measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	690	1	1	1
20659	Liking for fatty foods	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for fatty foods measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	700	1	1	1
20660	Liking for fresh tomatoes	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for fresh tomatoes measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	710	1	1	1
20661	Liking for fried chicken	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for fried chicken measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	720	1	1	1
20662	Liking for fried/battered fish	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for fried/battered fish measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	730	1	1	1
20663	Liking for fruit	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for fruit measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	740	1	1	1
20664	Liking for garlic	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for garlic measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	750	1	1	1
20665	Liking for gherkins	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for gherkins measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	760	1	1	1
20666	Liking for globe artichoke	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for globe artichoke measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	770	1	1	1
20667	Liking for goat's cheese	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for goat's cheese measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	780	1	1	1
20668	Liking for going to a cafe	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for going to a cafe measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	790	1	1	1
20669	Liking for going to the gym	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for going to the gym measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	800	1	1	1
20670	Liking for going to the pub	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for going to the pub measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	810	1	1	1
20671	Liking for grapefruit	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for grapefruit measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	820	1	1	1
20672	Liking for green olives	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for green olives measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	830	1	1	1
20673	Liking for haddock	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for haddock measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	840	1	1	1
20674	Liking for ham	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for ham measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	850	1	1	1
20675	Liking for hard cheese	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for hard cheese measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	860	1	1	1
20676	Liking for herring	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for herring measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	870	1	1	1
20677	Liking for honey	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for honey measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	880	1	1	1
20678	Liking for horseradish/wasabi	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for horseradish/wasabi measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	890	1	1	1
20679	Liking for ice cream	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for ice cream measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182163	182163	900	1	1	1
20680	Liking for jam	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for jam measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	910	1	1	1
20681	Liking for kiwi fruit	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for kiwi fruit measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182163	182163	920	1	1	1
20682	Liking for lager	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for lager measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	930	1	1	1
20683	Liking for lamb	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for lamb measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182163	182163	940	1	1	1
20684	Liking for lemons	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for lemons measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	950	1	1	1
20685	Liking for lentils/beans	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for lentils/beans measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	960	1	1	1
20686	Liking for liver	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for liver measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182163	182163	970	1	1	1
20687	Liking for mackerel	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for mackerel measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	980	1	1	1
20688	Liking for marzipan	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for marzipan measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	990	1	1	1
20689	Liking for mayonnaise	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for mayonnaise measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1000	1	1	1
20690	Liking for melon	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for melon measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1010	1	1	1
20691	Liking for milk chocolate	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for milk chocolate measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1020	1	1	1
20692	Liking for mushrooms	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for mushrooms measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1030	1	1	1
20693	Liking for onions	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for onions measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1040	1	1	1
20694	Liking for orange juice	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for orange juice measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1050	1	1	1
20695	Liking for oranges	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for oranges measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1060	1	1	1
20696	Liking for pasta	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for pasta measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1070	1	1	1
20697	Liking for pears	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for pears measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1080	1	1	1
20698	Liking for pizza	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for pizza measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1090	1	1	1
20699	Liking for plain yogurt	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for plain yogurt measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1100	1	1	1
20700	Liking for plums	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for plums measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1110	1	1	1
20701	Liking for pollock	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for pollock measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1120	1	1	1
20702	Liking for pork chop	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for pork chop measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1130	1	1	1
20703	Liking for porridge	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for porridge measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1140	1	1	1
20704	Liking for potato crisps	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for potato crisps measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1150	1	1	1
20705	Liking for potatoes	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for potatoes measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182163	182163	1160	1	1	1
20706	Liking for prawns	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for prawns measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1170	1	1	1
20707	Liking for raw carrots	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for raw carrots measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1180	1	1	1
20708	Liking for red meat	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for red meat measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1190	1	1	1
20709	Liking for red wine	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for red wine measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1200	1	1	1
20710	Liking for regular (non-diet) fizzy drinks	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for regular (non-diet) fizzy drinks measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182163	182163	1210	1	1	1
20711	Liking for roast chicken	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for roast chicken measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1220	1	1	1
20712	Liking for salad dressing	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for salad dressing measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1230	1	1	1
20713	Liking for salad leaves	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for salad leaves measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1240	1	1	1
20714	Liking for salami	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for salami measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1250	1	1	1
20715	Liking for salmon	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for salmon measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1260	1	1	1
20716	Liking for salty foods	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for salty foods measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1270	1	1	1
20717	Liking for salty pretzels	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for salty pretzels measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1280	1	1	1
20718	Liking for sardines	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for sardines measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1290	1	1	1
20719	Liking for sausages (meat)	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for sausages (meat) measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1300	1	1	1
20720	Liking for savoury biscuits	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for savoury biscuits measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182163	182163	1310	1	1	1
20721	Liking for shellfish (other than prawns)	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for shellfish (other than prawns) measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1320	1	1	1
20722	Liking for skimmed milk	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for skimmed milk measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1330	1	1	1
20723	Liking for smoked fish	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for smoked fish measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1340	1	1	1
20724	Liking for soft cheese	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for soft cheese measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1350	1	1	1
20725	Liking for soy sauce	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for soy sauce measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1360	1	1	1
20726	Liking for soya milk	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for soya milk measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1370	1	1	1
20727	Liking for spicy foods	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for spicy foods measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1380	1	1	1
20728	Liking for spinach	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for spinach measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1390	1	1	1
20729	Liking for spirits	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for spirits (e.g. vodka, gin, whisky etc.) measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1400	1	1	1
20730	Liking for strawberries	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for strawberries measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1410	1	1	1
20731	Liking for sweet coffee house drinks	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for sweet coffee house drinks (e.g. mochas, frappucinos, flavoured lattes) measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1420	1	1	1
20732	Liking for sweet foods	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for sweet foods measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1430	1	1	1
20733	Liking for taking the stairs	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for taking the stairs measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1440	1	1	1
20734	Liking for tea with sugar	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for tea with sugar measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1450	1	1	1
20735	Liking for tea without sugar	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for tea without sugar measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1460	1	1	1
20736	Liking for tomato ketchup	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for tomato ketchup measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1480	1	1	1
20737	Liking for tinned tuna	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for tinned tuna measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1470	1	1	1
20738	Liking for turnip (white)	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for turnip (white) measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1490	1	1	1
20739	Liking for vegetables	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for vegetables measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1500	1	1	1
20740	Liking for vinegar	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for vinegar measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1510	1	1	1
20741	Liking for watching television	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for watching television measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1520	1	1	1
20742	Liking for whisky	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for whisky measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1530	1	1	1
20743	Liking for white bread	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for white bread measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1540	1	1	1
20744	Liking for white rice	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for white rice measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1550	1	1	1
20745	Liking for white wine	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for white wine measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182164	182164	1560	1	1	1
20746	Liking for whole grain breakfast cereal	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for whole grain breakfast cereal measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1570	1	1	1
20747	Liking for whole milk	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for whole milk measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1580	1	1	1
20748	Liking for wholemeal bread	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for wholemeal bread measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182162	182162	1590	1	1	1
20749	Liking for working up a sweat	0	2	0	21	11	0	0	0	0	0		1039	96	0	0	0	0	0	Liking for working up a sweat measured on a 9-point scale.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1600	1	1	1
20750	When food preferences questionnaire completed	0	2	0	61	0	0	2	0	0	0		1039	0	0	0	0	0	0	When food preferences questionnaire was completed by participant.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1610	1	1	1
20751	Duration of questionnaire	0	2	0	11	0	0	0	0	0	0	minutes	1039	0	0	0	0	0	0	The time participants took to complete the food preferences questionnaire are measured from first starting it to clicking the sign-off button on the final screen. Participants were able to complete the questionnaire over multiple sessions so a long time need not indicate they were continuously connected. <p>Times are rounded down to the nearest minute.	2020-01-08T00:00:00	2020-01-17T00:00:00	182165	182165	1620	1	1	1
21000	Ethnic background	0	0	0	21	11	0	3	1	0	0		100065	1001	2	0	3	0	0	This is an amalgam of sequential branching questions asked during the initial Assessment Centre visit as part of the touchscreen questionnaire. <br><br> The question was dropped from the touchscreen protocol on 24/10/2016.	2012-01-10T00:00:00	2023-03-08T00:00:00	501479	535991	2	1	1	1
21001	Body mass index (BMI)	0	0	0	31	0	0	3	1	0	0	Kg/m2	100010	0	2	0	3	0	0	BMI value here is constructed from height and weight measured during the initial Assessment Centre visit. Value is not present if either of these readings were omitted.	2012-01-11T00:00:00	2023-03-09T00:00:00	499398	588452	2	1	1	1
21002	Weight	0	0	0	31	0	0	3	1	0	0	Kg	100010	0	2	0	3	0	0	Weight was measured by a variety of means during the initial Assessment Centre visit. This field amalgamates these values into a single item.	2012-01-11T00:00:00	2023-03-08T00:00:00	499710	588830	1	1	1	1
21003	Age when attended assessment centre	0	0	0	11	0	0	3	1	0	0	years	100024	0	2	0	3	0	0	This is a derived variable based on date of birth and date of attending assessment centre and refers to the age of the participant on the day they attended an Assessment Centre, truncated to whole year part.	2012-01-10T00:00:00	2023-03-09T00:00:00	502371	593606	130	1	1	1
21004	Number of puzzles correct	0	2	0	11	0	0	3	1	0	0	correct-answers	503	0	2	2	3	0	0	Number of puzzles correct, scored from the participant answers in ~F6312~.	2017-11-22T00:00:00	2022-12-24T00:00:00	42543	46504	0	1	1	1
21005	L1-L4 TBS (trabecular bone score)	0	2	0	31	0	0	3	1	0	0	score	125	0	2	2	2	0	0	Trabecular bone scores derived by ~N17295~. Please note for a very small percentage of participants the TBS value for certain lumbar vertebrae are missing and the mean TBS score has been calculated using the remaining lumbar vertebrae. Please see ~D4322~ for the source of the data which includes a file indicating which lumbar vertebrae have been included in the mean value for each participant.	2022-01-21T00:00:00	2022-01-21T00:00:00	30076	30076	700	1	1	1
21007	Imputation from genotype (TOPmed)	0	0	0	11	0	30	3	0	0	0	blocks	100319	0	0	0	0	0	0	Imputation from genotype using the TOPMed R2 panel, performed by the TOPMed Informatics Research Center. Primary description of the imputation data can be found in: Taliun, D., Harris, D.N., Kessler, M.D. et al. Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program. Nature 590, 290-299 (2021) ~Ehttps://doi.org/10.1038/s41586-021-03205-y~ <br> <br>After phasing the UK Biobank genetic data (carried out on 81 chromosomal chunks using Eagle v.2.4), the phased data were converted from GRCh37 to GRCh38 using LiftOver. Imputation was performed using Minimac4 v1.0.2 (~Ehttps://genome.sph.umich.edu/wiki/Minimac4~). The reference panel is the TOPMed R2 panel, which is available to public at ~Ehttps://imputation.biodatacatalyst.nhlbi.nih.gov~. Imputation was performed in 1Mb chunks and merged back together by chromosome. Due to large data size, markers with poor imputation were not retained (excluded Minimac4 imputation quality metric R^2 < 0.1). Across all the chromosomes, 677,037 markers were used for imputation. <br>For distribution to UK Biobank, output Minimac4 VCF files were converted to BGEN format using qctool v2.0.8. The conversion used the Genotype Probability (GP) field from source VCF and the probabilities are stored using 8 bit precision. <br> <br>Details on contributing cohorts for the TOPMed Imputataion Panel can be seen in Extended Table 3 of Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program. Nature 590, 290-299 (2021). ~Ehttps://doi.org/10.1038/s41586-021-03205-y~.	2022-11-23T00:00:00	2000-01-01T00:00:00	487180	487180	110	0	1	0
21008	Imputation from genotype (Genomics England)	0	0	0	11	0	30	3	0	0	0	blocks	100319	0	0	0	0	0	0	Imputation from genotype, performed by Genomics England using a high coverage (30x) sequencing dataset from the Genomics England (GEL) 100,000 genomes project.	2022-11-23T00:00:00	2022-11-24T00:00:00	488131	488131	120	0	1	0
21011	FDA data file (left)	0	0	0	41	0	20	3	1	1	0		100016	0	2	0	3	0	1	The fda file contains the compressed fundus image and 3D OCT scan data together with the results of the analysis done by the OCT device for the left eye. File size is typically 5 MB.	2012-01-05T00:00:00	2023-03-08T00:00:00	85285	88092	180	2	1	2
21012	FDS data file (left)	0	0	0	41	0	20	3	1	1	0		100016	0	2	0	3	0	1	The fds file contains the raw fundus image and 3D OCT scan data for the left eye. File size is typically 97 MB.	2012-01-05T00:00:00	2023-03-08T00:00:00	83940	86562	200	2	1	2
21013	FDA data file (right)	0	0	0	41	0	20	3	1	1	0		100016	0	2	0	3	0	1	The fda file contains the compressed fundus image and 3D OCT scan data together with the results of the analysis done by the OCT device for the right eye. File size is typically 5 MB.	2012-01-05T00:00:00	2023-03-08T00:00:00	85767	88793	190	2	1	2
21014	FDS data file (right)	0	0	0	41	0	20	3	1	1	0		100016	0	2	0	3	0	1	The fds file contains the raw fundus image and 3D OCT scan data for the right eye. File size is typically 97 MB.	2012-01-05T00:00:00	2023-03-08T00:00:00	84431	87259	210	2	1	2
21015	Fundus retinal eye image (left)	0	0	0	41	0	20	3	1	1	0		100016	0	2	0	3	0	1	The fundus image of the retina of the left eye. Images are stored in PNG-format, approximately 2MB each.	2012-08-28T00:00:00	2023-03-09T00:00:00	85519	88328	100	2	1	2
21016	Fundus retinal eye image (right)	0	0	0	41	0	20	3	1	1	0		100016	0	2	0	3	0	3	The fundus image of the retina of the right eye. Images are stored in PNG-format, approximately 2MB each.	2012-08-28T00:00:00	2023-03-09T00:00:00	86005	89032	110	2	1	2
21017	OCT image slices (left)	0	0	0	41	0	20	0	1	1	0		100016	0	2	0	1	0	1	Individual images of OCT slices through left retina in PNG format.	2018-11-08T00:00:00	2018-11-12T00:00:00	84771	87573	120	2	1	2
21018	OCT image slices (right)	0	0	0	41	0	20	0	1	1	0		100016	0	2	0	1	0	1	Individual images of OCT slices through right retina in PNG format.	2018-11-08T00:00:00	2018-11-12T00:00:00	85240	88259	130	2	1	2
21021	Pulse wave Arterial Stiffness index	0	0	0	31	0	0	3	1	0	0		100007	0	2	0	3	0	0	The time between peaks of the waveform (the peak-to-peak time) is divided into the persons height to obtain the Stiffness Index.  This value was calculated outside the Assessment Centre visit as the participant height was not known until after the stiffness device had been used.	2012-01-10T00:00:00	2023-03-08T00:00:00	215889	249303	0	1	1	1
21022	Age at recruitment	0	0	0	11	0	0	3	0	0	0	years	100094	0	0	0	0	0	0	This is a derived variable based on date of birth and date of attending an initial assessment centre and refers to the age of the participant on the day they attended an Initial Assessment Centre, truncated to whole year.	2014-07-15T00:00:00	2014-07-15T00:00:00	502368	502368	100	1	1	1
21023	When digestive health questionnaire completed	0	2	0	61	0	0	0	0	0	0		153	0	0	0	0	0	0	Date and time when online digestive health questionnaire completed.	2018-07-12T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21024	Ever diagnosed with IBS	0	2	0	21	11	0	0	0	0	0		153	502	0	0	0	0	0	Question asked: "Have you ever been diagnosed with IBS?"	2018-07-12T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21025	Frequency of discomfort/pain in abdomen in last 3 months	0	2	0	21	11	0	0	0	0	0		153	871	0	0	0	0	0	Question asked: "In the last 3 months, how often did you have discomfort or pain anywhere in your abdomen?"	2018-07-12T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21026	Discomfort/pain occurring only during menstrual bleed	0	2	0	21	11	0	0	0	0	2		153	1022	0	0	0	0	0	Question asked: "Did this discomfort or pain occur only during your menstrual bleeding and not at other times?" <p> Question was asked to female participants (based on responses to question A2 in the Digestive Health questionnaire, not presented) when ~F21025~ was neither "Never" nor "Prefer not to answer".	2018-07-12T00:00:00	2018-08-10T00:00:00	61002	61002	0	1	1	1
21027	Abdominal discomfort/pain for 6 months or longer	0	2	0	21	11	0	0	0	0	0		153	503	0	0	0	0	0	Question asked: "Have you had this discomfort or pain 6 months or longer?" <p> Question was asked when ~F21025~ was neither "Never" nor "Prefer not to answer".	2018-07-12T00:00:00	2018-08-10T00:00:00	93869	93869	0	1	1	1
21028	Frequency of discomfort/pain getting better or stopping after a bowel movement	0	2	0	21	11	0	0	0	0	0		153	950	0	0	0	0	0	Question asked: "How often did this discomfort or pain get better or stop after you had a bowel movement?" <p> Question was asked when ~F21025~ was neither "Never" nor "Prefer not to answer".	2018-07-12T00:00:00	2018-08-10T00:00:00	93869	93869	0	1	1	1
21029	More frequent bowel movements when abdominal discomfort/pain started	0	2	0	21	11	0	0	0	0	0		153	950	0	0	0	0	0	Question asked: "When this discomfort or pain started, did you have more frequent bowel movements?" <p> Question was asked when ~F21025~ was neither "Never" nor "Prefer not to answer".	2018-07-12T00:00:00	2018-08-10T00:00:00	93869	93869	0	1	1	1
21030	Less frequent bowel movements when abdominal discomfort/pain started	0	2	0	21	11	0	0	0	0	0		153	950	0	0	0	0	0	Question asked: "When this discomfort or pain started, did you have less frequent bowel movements?" <p> Question was asked when ~F21025~ was neither "Never" nor "Prefer not to answer".	2018-07-12T00:00:00	2018-08-10T00:00:00	93869	93869	0	1	1	1
21031	Stools looser when abdominal discomfort/pain started	0	2	0	21	11	0	0	0	0	0		153	950	0	0	0	0	0	Question asked: "When this discomfort or pain started, were your stools (bowel movements) looser?" <p> Question was asked when ~F21025~ was neither "Never" nor "Prefer not to answer".	2018-07-12T00:00:00	2018-08-10T00:00:00	93869	93869	0	1	1	1
21032	Frequency of harder stools when abdominal discomfort/pain started	0	2	0	21	11	0	0	0	0	0		153	950	0	0	0	0	0	Question asked: "When this discomfort or pain started, how often did you have harder stools?" <p> Question was asked when ~F21025~ was neither "Never" nor "Prefer not to answer".	2018-07-12T00:00:00	2018-08-10T00:00:00	93869	93869	0	1	1	1
21033	Frequency of hard/lumpy stools in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	950	0	0	0	0	0	Question asked: "In the last 3 months, how often did you have hard or lumpy stools?"	2018-07-12T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21034	Frequency of loose/mushy/watery stools in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	950	0	0	0	0	0	Question asked: "In the last 3 months, how often did you have loose, mushy or watery stools?"	2018-07-12T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21035	Currently (in last 3 months) suffer from abdominal pain	0	2	0	21	11	0	0	0	0	0		153	503	0	0	0	0	0	Question asked: "Do you currently (in the last 3 months) suffer from abdominal (tummy) pain?"	2018-07-12T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21036	Severity of current abdominal pain	0	2	0	21	11	0	0	0	0	0		153	408	0	0	0	0	0	Question asked: "How severe is your abdominal pain?" <p> Participants were asked to move the slider to choose a number from 0 to 10, with 0 meaning "no pain" and 10 meaning "very severe". Participants using an older browser were asked to select a button from 0 to 10. <p> Question asked if ~F21035~ was "Yes".	2018-07-12T00:00:00	2018-08-10T00:00:00	50597	50597	0	1	1	1
21037	Number of days (out of 10) with abdominal pain	0	2	0	21	11	0	0	0	0	0		153	913	0	0	0	0	0	Question asked: "Please move the slider to select the number of times that you get the pain every 10 days. For example, if you choose 4 it means that you get pain 4 out of 10 days. If you get pain every day enter 10." <p> Participants using an older browser were asked to select a button from 0 to 10. <p> Question asked if ~F21035~ was "Yes".	2018-07-13T00:00:00	2018-09-10T00:00:00	50597	50597	0	1	1	1
21038	Currently suffer from abdominal distension	0	2	0	21	11	0	0	0	0	0		153	503	0	0	0	0	0	Question asked: "Do you currently suffer from abdominal distension? (bloating, swollen or tight tummy) Women please ignore distension related to your period."	2018-07-13T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21039	Severity of current abdominal distension/tightness	0	2	0	21	11	0	0	0	0	0		153	620	0	0	0	0	0	Question asked: "How severe is your abdominal distension/tightness?" <p> Participants were asked to move a slider to choose a number from 0 to 10, with 0 meaning "no distension" and 10 meaning "very severe". Participants using an older browser were asked to select a button from 0 to 10.	2018-07-13T00:00:00	2018-09-10T00:00:00	40649	40649	0	1	1	1
21040	Satisfaction with bowel habits	0	2	0	21	11	0	0	0	0	0		153	616	0	0	0	0	0	Question asked: "How happy/satisfied are you with your bowel habits?" <p> Participants were asked to move a slider to choose a number from 0 to 10, with 0 meaning "very happy" and 10 meaning "very unhappy". Participants using an older browser were asked to select a button from 0 to 10.	2018-07-13T00:00:00	2018-09-10T00:00:00	174714	174714	0	1	1	1
21041	Degree to which abdominal pain/discomfort/altered bowel habits affect/interfere with life in general	0	2	0	21	11	0	0	0	0	0		153	548	0	0	0	0	0	Question asked: "Please indicate how much abdominal pain or discomfort or altered bowel habits are affecting or interfering with your life in general." <p> Participants were asked to move a slider to choose a number between 0 to 10, with 0 meaning "not at all" and 10 meaning "completely". Participants using an older browser were asked to select a button from 0 to 10.	2018-07-13T00:00:00	2018-09-10T00:00:00	174714	174714	0	1	1	1
21042	Greatest number of times bowels opened per day	0	2	0	11	0	0	0	0	0	0	times/day	153	584	0	0	0	0	0	Question asked: "What is the greatest number of times you open your bowels per day?" <p> Values entered here were restricted to the range 1 to 40.	2018-07-13T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21043	Least number of times bowels opened per week	0	2	0	11	0	0	0	0	0	0	times/week	153	584	0	0	0	0	0	Question asked: "What is the least number of times you open your bowels per week?" <p> Values entered here were restricted to the range 0 to 150.	2018-07-13T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21044	Average number of times bowels opened per day	0	2	0	11	0	0	0	0	0	0	times/day	153	584	0	0	0	0	0	Question asked: "What is the average number of times you open your bowels per day?" <p> Values entered here were restricted to the range 0 to 20.	2018-07-13T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21045	Number of weeks absent from work due to IBS, in the last year	0	2	0	11	0	0	0	0	0	0	weeks	153	957	0	0	0	0	0	Question asked: "In the last year approximately how many weeks were you absent from work due to IBS?" <p> Participants were asked to answer 0 if they had IBS but it did not prevent them from going to work.	2018-07-13T00:00:00	2018-09-10T00:00:00	21350	21350	0	1	1	1
21046	When gave up work due to IBS	0	2	0	51	0	0	0	0	0	0		153	586	0	0	0	0	0	Question asked when the participant had given up work due to IBS. <p> The reported month and year have been converted into a date with the date in the month given as the 1st. For participants who provided the year only (i.e. without a month) a value of 1st July was used. <p> Question asked if ~F21024~ was "Yes" and ~F21045~ was "Given up work because of IBS".	2018-07-13T00:00:00	2018-08-10T00:00:00	150	150	0	1	1	1
21047	Number of weeks (in the last year) at work suffering because of IBS	0	2	0	11	0	0	0	0	0	0	weeks	153	42	0	0	0	0	0	Question asked how many weeks (in the last year) the participant was at work suffering because of IBS. <p> <ul> <li>Participants where instructed to enter 0 if IBS did not affect them at work in the last year</li> <li>Participants were instructed to enter 52 if IBS affects them at work all the time.</li> </ul> Question asked if ~F21024~ was "Yes" and ~F21045~ was neither "Given up work because of IBS" nor "Do not work".	2018-07-13T00:00:00	2018-08-10T00:00:00	8362	8362	0	1	1	1
21048	Degree bothered by back pain in the past 3 months	0	2	0	21	11	0	0	0	0	0		153	339	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by back pain?"	2018-07-13T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21049	Degree bothered by pain in arms/legs/joints in the past 3 months	0	2	0	21	11	0	0	0	0	0		153	339	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by pain in your arms, legs or joints (knees, hips etc)?"	2018-07-13T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21050	Degree bothered by menstrual cramps or other problems with period in the last 3 months	0	2	0	21	11	0	0	0	0	2		153	1018	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by menstrual cramps or other problems with your periods?" <p> This question was asked to women only.	2018-07-13T00:00:00	2018-08-10T00:00:00	99252	99252	0	1	1	1
21051	Degree bothered by headaches in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	339	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by headaches?"	2018-07-13T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21052	Degree bothered by chest pain in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	339	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by chest pain?"	2018-07-13T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21053	Degree bothered by dizziness in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	339	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by dizziness?"	2018-07-13T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21054	Degree bothered by fainting spells in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	339	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by fainting spells?"	2018-07-13T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21055	Degree bothered by feeling heart pound/race in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	339	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by feeling your heart pound or race?"	2018-07-13T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21056	Degree bothered by shortness of breath in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	339	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by shortness of breath?"	2018-07-13T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21057	Degree bothered by pain/problems during intercourse in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	1018	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by pain or problems during intercourse?"	2018-07-13T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21058	Degree bothered by urinary frequency/bladder irritability in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	339	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by urinary frequency or bladder irritability?"	2018-07-13T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21059	Degree bothered by nausea in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	339	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by nausea?"	2018-07-13T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21060	Degree bothered by feeling tired all the time in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	339	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by feeling tired all the time or having low energy?"	2018-07-13T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21061	Degree bothered by trouble sleeping in the last 3 months	0	2	0	21	11	0	0	0	0	0		153	339	0	0	0	0	0	Question asked: "During the past 3 months, how much have you been bothered by trouble sleeping?"	2018-07-13T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21062	Ever been offered/sought treatment for anxiety	0	2	0	21	11	0	0	0	0	0		153	503	0	0	0	0	0	Question asked: "Have you ever been offered or sought treatment for anxiety?"	2018-07-13T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21063	Ever been offered/sought treatment for depression	0	2	0	21	11	0	0	0	0	0		153	503	0	0	0	0	0	Question asked: "Have you ever been offered or sought treatment for depression?"	2018-07-13T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21064	Sensitive stomach	0	2	0	21	11	0	0	0	0	0		153	502	0	0	0	0	0	Question asked: "Do you have a sensitive stomach?"	2018-07-13T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21065	Family history of IBS	0	2	0	21	11	0	0	0	0	0		153	502	0	0	0	0	0	Question asked: "Do you have a family history of IBS in your parents/siblings/children?"	2018-07-13T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21066	Born by caesarian section	0	2	0	21	11	0	0	0	0	0		153	502	0	0	0	0	0	Question asked: "Were you born by caesarian section?"	2018-07-13T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21067	Long-term/recurrent antibiotics as child or teenager	0	2	0	21	11	0	0	0	0	0		153	502	0	0	0	0	0	Question asked: "During childhood or as a teenager did you receive long-term or recurrent courses (3 or more per year) of antibiotics (for example for tonsillitis or acne)?"	2018-07-13T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21068	Diagnosed with coeliac disease or gluten sensitivity	0	2	0	21	11	0	0	0	0	0		153	502	0	0	0	0	0	Question asked: "Have you been diagnosed with coeliac disease/gluten sensitivity?"	2018-07-13T00:00:00	2018-08-10T00:00:00	174714	174714	0	1	1	1
21069	Method of coeliac disease/gluten sensitivity diagnosis	0	2	0	21	11	0	0	0	0	0		153	1862	0	0	0	0	0	Question asked: "When you were diagnosed with coeliac disease/gluten sensitivity, was this" and user was presented with the options listed in ~C1862~. <p> Question asked if ~F21068~ was "Yes".	2018-07-13T00:00:00	2018-08-10T00:00:00	3262	3262	0	1	1	1
21070	Speed of onset of IBS symptoms	0	2	0	21	11	0	0	0	0	0		153	2730	0	0	0	0	0	Question asked: "Did your IBS symptoms start suddenly, over one or a few days, or did they come on gradually?" <p> Question asked if ~F21024~ was "Yes".	2018-07-13T00:00:00	2018-08-10T00:00:00	21350	21350	0	1	1	1
21071	Infectious illness diagnosis status when IBS symptoms first began	0	2	0	21	11	0	0	0	0	0		153	503	0	0	0	0	0	Question asked: "When your IBS symptoms first began (or up to two weeks before), were you diagnosed with an infectious illness ('tummy bug')?" <p> Question asked if ~F21024~ was "Yes".	2018-07-13T00:00:00	2018-08-10T00:00:00	21350	21350	0	1	1	1
21072	Infection diagnosed alongside IBS when IBS symptoms began	0	2	0	21	11	0	0	0	0	0		153	7310	0	0	0	0	0	Question asked the participant to select the infection they had had prior to IBS from a list in ~C7310~. <p> Question asked if both ~F21024~ was "Yes" and ~F21071~ was "Yes".	2018-07-13T00:00:00	2018-08-10T00:00:00	2115	2115	0	1	1	1
21073	Fever when IBS symptoms first began	0	2	0	21	11	0	0	0	0	0		153	503	0	0	0	0	0	Question asked: "When your IBS symptoms first began (or up to two weeks before), did you have a fever?" <p> Question asked if ~F21024~ was "Yes".	2018-07-13T00:00:00	2018-08-10T00:00:00	21350	21350	0	1	1	1
21074	Diarrhoea when IBS symptoms first began	0	2	0	21	11	0	0	0	0	0		153	503	0	0	0	0	0	Question asked: "When your IBS symptoms first began (or up to two weeks before), did you have diarrhoea?" <p> Question asked if ~F21024~ was "Yes".	2018-07-13T00:00:00	2018-08-10T00:00:00	21350	21350	0	1	1	1
21075	Bloody diarrhoea when IBS symptoms first began	0	2	0	21	11	0	0	0	0	0		153	1021	0	0	0	0	0	Question asked: "When your IBS symptoms first began (or up to two weeks before), did you have bloody diarrhoea?" <p> Question asked if both ~F21024~ was "Yes" and ~F21074~ was "Yes".	2018-07-13T00:00:00	2018-08-10T00:00:00	10739	10739	0	1	1	1
21076	Vomiting when IBS symptoms first began	0	2	0	21	11	0	0	0	0	0		153	503	0	0	0	0	0	Question asked: "When your IBS symptoms first began (or up to two weeks before), did you have vomiting?" <p> Question asked if ~F21024~ was "Yes".	2018-07-13T00:00:00	2018-08-10T00:00:00	21350	21350	0	1	1	1
21080	Liver volume	0	2	0	31	0	0	3	1	0	0	litres	158	0	2	2	3	0	0	Volume of the liver	2022-01-19T00:00:00	2022-11-11T00:00:00	39015	40886	110	1	1	1
21081	Left kidney volume	0	2	0	31	0	0	3	1	0	0	litres	158	0	2	2	3	0	0	Volume of the left kidney	2022-01-19T00:00:00	2022-11-11T00:00:00	39015	40886	180	1	1	1
21082	Right kidney volume	0	2	0	31	0	0	3	1	0	0	litres	158	0	2	2	3	0	0	Volume of the right kidney	2022-01-19T00:00:00	2022-11-11T00:00:00	39015	40886	190	1	1	1
21083	Spleen volume	0	2	0	31	0	0	3	1	0	0	litres	158	0	2	2	3	0	0	Volume of the spleen	2022-01-19T00:00:00	2022-11-11T00:00:00	39015	40886	170	1	1	1
21084	Lung volume	0	2	0	31	0	0	3	1	0	0	litres	158	0	2	2	3	0	0	Volume of the lungs	2022-01-19T00:00:00	2022-11-11T00:00:00	39015	40886	100	1	1	1
21085	Visceral fat volume	0	2	0	31	0	0	3	1	0	0	litres	158	0	2	2	3	0	0	Volume of the visceral adipose tissue	2022-01-19T00:00:00	2022-11-11T00:00:00	39015	40886	210	1	1	1
21086	Subcutaneous fat volume	0	2	0	31	0	0	3	1	0	0	litres	158	0	2	2	3	0	0	Volume of the abdominal subcutaneous adipose tissue	2022-01-19T00:00:00	2022-11-11T00:00:00	39015	40886	200	1	1	1
21087	Pancreas volume	0	2	0	31	0	0	3	1	0	0	litres	158	0	2	2	3	0	0	Volume of the pancreas	2022-01-19T00:00:00	2022-11-11T00:00:00	37651	38113	140	1	1	1
21088	Liver PDFF (fat fraction)	0	2	0	31	0	0	3	1	0	0	%	158	0	2	2	3	0	0	Liver PDFF from the IDEAL protocol	2022-01-19T00:00:00	2022-11-11T00:00:00	30775	32316	120	1	1	1
21089	Liver iron	0	2	0	31	0	0	3	1	0	0	mg/g	158	0	2	2	3	0	0	Liver iron from the IDEAL protocol	2022-01-19T00:00:00	2022-11-11T00:00:00	30775	32316	130	1	1	1
21090	Pancreas PDFF (fat fraction)	0	2	0	31	0	0	3	1	0	0	%	158	0	2	2	3	0	0	Pancreas fat fraction	2022-01-19T00:00:00	2022-11-11T00:00:00	29607	29944	150	1	1	1
21091	Pancreas iron	0	2	0	31	0	0	3	1	0	0	mg/g	158	0	2	2	3	0	0	Pancreas iron	2022-01-19T00:00:00	2022-11-11T00:00:00	29607	29944	160	1	1	1
21092	Liver PDFF (fat fraction) - gradient echo	0	3	0	31	0	0	3	1	0	0	percent	158	0	2	2	2	0	0	Liver PDFF from the gradient echo protocol	2022-11-11T00:00:00	2022-11-11T00:00:00	10082	10082	0	1	1	1
21093	Liver iron (Fe) - gradient echo	0	3	0	31	0	0	3	1	0	0	mg/g	158	0	2	2	2	0	0	Liver iron from the gradient echo protocol	2022-11-11T00:00:00	2022-11-11T00:00:00	10082	10082	0	1	1	1
21094	IDP pipeline version	0	3	0	101	0	0	2	1	1	0		158	0	2	2	3	0	2	The array indicates which version number of Calico's machine learning IDP pipeline was used to generate the derived data. <p>Array 0: Pipeline from Liu et al 2021 ~P4891~. <p>Array 1: Updated pipeline trained using additional annotations from Whitcher et al 2022 (https://www.nature.com/articles/s41598-022-07556-y). <p> Array 2: Updated pipeline trained using additional annotations from Basty et al medRxiv (https://www.medrxiv.org/content/10.1101/2022.02.22.22270091v1)	2022-11-11T00:00:00	2022-11-11T00:00:00	39207	41973	0	1	1	1
21100	Water hardness (USGS classification)	0	0	0	21	11	0	0	1	0	0		603	1180	2	0	2	0	0	United States Geological Survey classification of CaCO3 concentration into four groups: soft water (0-60 mg/L), moderately hard water (60-120 mg/L), hard water (120-180 mg/L) and very hard water (> 180 mg/L).	2023-02-21T00:00:00	2023-02-21T00:00:00	497731	537691	0	1	1	1
21101	Water hardness (WHO classification)	0	0	0	21	11	0	0	1	0	0		603	1181	2	0	2	0	0	World Health Organization classification of CaCO3 concentration into two groups: soft water (< 200 mg/L), and hard water (> 200 mg/L).	2023-02-21T00:00:00	2023-02-21T00:00:00	497731	537691	0	1	1	1
21102	Year of survey	0	0	0	21	11	0	0	1	0	0		603	1182	2	0	2	0	0	Domestic water hardness measured 1 year before baseline recruitment started (2005) and during follow-up (2013). <p> This field can be used, for example, to determine survey measurement year versus year of participant assessment via ~F53~.	2023-02-21T00:00:00	2023-02-21T00:00:00	497738	537698	0	1	1	1
21103	CaCO3 concentration	0	0	1	11	0	0	0	1	0	0	mg/L	603	0	2	0	2	0	0	Domestic water calcium carbonate concentration.	2023-02-21T00:00:00	2023-02-21T00:00:00	497731	537691	0	1	1	1
21104	Ca concentration	0	0	1	11	0	0	0	1	0	0	mg/L	603	0	2	0	2	0	0	Domestic water calcium concentration.	2023-02-21T00:00:00	2023-02-21T00:00:00	457669	496042	0	1	1	1
21105	Mg concentration	0	0	1	11	0	0	0	1	0	0	mg/L	603	0	2	0	2	0	0	Domestic water magnesium concentration.	2023-02-21T00:00:00	2023-02-21T00:00:00	457669	496042	0	1	1	1
21110	Android fat free mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	36131	39142	0	1	1	1
21111	Android tissue mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	36131	39142	0	1	1	1
21112	Arm bone mass (left)	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	18204	18934	0	1	1	1
21113	Arm bone mass (right)	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	18204	18934	0	1	1	1
21114	Arm fat free mass (left)	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	18204	18934	0	1	1	1
21115	Arm fat free mass (right)	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	18204	18934	0	1	1	1
21116	Arm tissue mass (left)	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	18204	18934	0	1	1	1
21117	Arm tissue mass (left)	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	18204	18934	0	1	1	1
21118	Arm tissue mass (right)	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	18204	18934	0	1	1	1
21119	Arms bone mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	36131	39142	0	1	1	1
21120	Arms fat free mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	36131	39142	0	1	1	1
21121	Arms tissue mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	36131	39142	0	1	1	1
21122	Femur total bone mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	36131	39142	0	1	1	1
21123	Gynoid fat free mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	36131	39142	0	1	1	1
21124	Gynoid tissue mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	36131	39142	0	1	1	1
21125	Leg bone mass (left)	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	18204	18934	0	1	1	1
21126	Leg bone mass (right)	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	18204	18934	0	1	1	1
21127	Leg fat free mass (left)	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	18204	18934	0	1	1	1
21128	Leg fat free mass (right)	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	18204	18934	0	1	1	1
21129	Leg tissue mass (left)	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	18204	18934	0	1	1	1
21130	Leg tissue mass (right)	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	18204	18934	0	1	1	1
21131	Legs bone mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	36131	39142	0	1	1	1
21132	Legs fat free mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	36131	39142	0	1	1	1
21133	Legs tissue mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	36131	39142	0	1	1	1
21134	Trunk bone mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	36131	39142	0	1	1	1
21135	Trunk tissue mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	36131	39142	0	1	1	1
21136	B2-B4 area	0	2	0	31	0	0	0	1	0	0	cm2	125	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	18667	19513	0	1	1	1
21137	B2-B4 BMC (bone mineral content)	0	2	0	31	0	0	0	1	0	0	g	125	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	18667	19513	0	1	1	1
21138	B2-B4 BMD (bine mineral density)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2023-01-20T00:00:00	2023-02-03T00:00:00	18667	19513	0	1	1	1
21139	DXA measurement QC Flag	0	2	0	11	0	0	0	1	0	0		103	0	2	2	3	0	0	This flag indicates when a participants height or weight differs between that entered in the DXA machine and showcase value (Datafield 50, 21002) by more than 5%. Caution should be taken when using data from these participants as the data may be of lower quality.	2023-01-20T00:00:00	2023-01-20T00:00:00	4084	4110	0	1	1	1
21150	Standard PRS for resting heart rate (RHR)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2023-02-17T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	2	2
21151	Standard PRS for total cholesterol (TCH)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2023-02-17T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	2	2
21152	Standard PRS for total triglyceride (TTG)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2023-02-17T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	2	2
21160	Kidney parenchyma total	0	2	0	31	0	0	3	1	0	0	ml	159	0	2	2	3	0	0	Parenchymal kidney volume, including disconnected sub-volumes.	2023-02-17T00:00:00	2023-02-17T00:00:00	37570	38569	0	1	1	1
21161	Kidney parenchyma (left)	0	2	0	31	0	0	3	1	0	0	ml	159	0	2	2	3	0	0	Parenchymal volume of the left kidney.	2023-02-17T00:00:00	2023-02-17T00:00:00	37570	38569	0	1	1	1
21162	Kidney parenchyma (right)	0	2	0	31	0	0	3	1	0	0	ml	159	0	2	2	3	0	0	Parenchymal volume of the right kidney.	2023-02-17T00:00:00	2023-02-17T00:00:00	37570	38569	0	1	1	1
21163	Kidney distance	0	2	0	31	0	0	3	1	0	0	mm	159	0	2	2	3	0	0	Distance between centres of mass of left and right kidney.	2023-02-17T00:00:00	2023-02-17T00:00:00	37570	38569	0	1	1	1
21164	Kidney fusion	0	2	0	21	11	0	3	1	0	0		159	1	2	0	0	0	0	Kidney fusion identified.	2023-02-17T00:00:00	2023-02-17T00:00:00	33	33	0	1	1	1
21611	Reception duration	0	2	0	11	0	0	0	1	0	0	seconds	152	0	2	2	3	0	0	Reception duration	2019-04-10T00:00:00	2023-03-07T00:00:00	34846	35578	0	1	1	1
21621	Consent duration	0	2	0	11	0	0	0	1	0	0	seconds	152	0	2	2	3	0	0	Consent duration	2019-04-10T00:00:00	2023-03-07T00:00:00	34837	35569	0	1	1	1
21622	Touchscreen duration	0	2	0	11	0	0	0	1	0	0	seconds	152	0	2	2	3	0	0	Touchscreen duration	2019-04-10T00:00:00	2023-03-08T00:00:00	34588	35309	0	1	1	1
21623	Touchscreen cognitive duration (pilot)	0	2	0	11	0	0	0	1	0	0	seconds	152	0	2	0	0	0	0	Touchscreen cognitive duration (pilot)	2019-04-10T00:00:00	2000-01-01T00:00:00	-1	-1	0	1	1	1
21625	Touchscreen cognitive duration	0	2	0	11	0	0	0	1	0	0	seconds	152	0	2	2	3	0	0	Touchscreen cognitive duration	2019-04-10T00:00:00	2023-03-08T00:00:00	32982	33646	0	1	1	1
21631	Verbal interview duration	0	2	0	11	0	0	0	1	0	0	seconds	152	0	2	2	3	0	0	Verbal interview duration	2019-04-10T00:00:00	2023-03-08T00:00:00	30432	31001	0	1	1	1
21632	Pilot Spirometry duration	0	2	0	11	0	0	0	1	0	0	seconds	152	0	2	0	0	0	0	Pilot Spirometry duration	2019-04-10T00:00:00	2000-01-01T00:00:00	-1	-1	0	1	1	1
21633	Measurement/Impedance duration (pilot)	0	2	0	11	0	0	0	1	0	0	seconds	152	0	2	0	0	0	0	Measurement/Impedance duration (pilot)	2019-04-10T00:00:00	2000-01-01T00:00:00	-1	-1	0	1	1	1
21634	Biometrics duration	0	2	0	11	0	0	0	1	0	0	seconds	152	0	2	2	3	0	0	Biometrics duration	2019-04-10T00:00:00	2023-03-08T00:00:00	33973	34656	0	1	1	1
21636	Eye measures duration	0	2	0	11	0	0	0	1	0	0	seconds	152	0	2	2	3	0	0	Eye measures duration	2019-04-10T00:00:00	2023-03-08T00:00:00	962	962	0	1	1	1
21638	ECG during exercise duration	0	2	0	11	0	0	0	1	0	0	seconds	152	0	2	0	0	0	0	ECG during exercise duration	2019-04-10T00:00:00	2000-01-01T00:00:00	-1	-1	0	1	1	1
21641	Urine collection duration	0	2	0	11	0	0	0	1	0	0	seconds	152	0	2	0	0	0	0	Urine collection duration	2019-04-10T00:00:00	2000-01-01T00:00:00	-1	-1	0	1	1	1
21642	Sample collection duration	0	2	0	11	0	0	0	1	0	0	seconds	152	0	2	2	3	0	0	Sample collection duration	2019-04-10T00:00:00	2023-03-08T00:00:00	34214	34913	0	1	1	1
21651	Conclusion duration	0	2	0	11	0	0	0	1	0	0	seconds	152	0	2	2	3	0	0	Conclusion duration	2019-04-10T00:00:00	2023-03-08T00:00:00	34821	35553	0	1	1	1
21661	Imaging screening duration	0	2	0	11	0	0	0	1	0	0	seconds	152	0	2	2	3	0	0	Imaging screening duration	2019-04-10T00:00:00	2023-03-07T00:00:00	34836	35568	0	1	1	1
21662	Brain MRI duration	0	2	0	11	0	0	0	1	0	0	seconds	152	0	2	2	3	0	0	Brain MRI duration	2019-04-10T00:00:00	2023-03-08T00:00:00	34410	35137	0	1	1	1
21663	Chest MRI duration	0	2	0	11	0	0	0	1	0	0	seconds	152	0	2	2	3	0	0	Chest MRI duration	2019-04-10T00:00:00	2023-03-08T00:00:00	34427	35154	0	1	1	1
21664	DXA assessment duration	0	2	0	11	0	0	0	1	0	0	seconds	152	0	2	2	3	0	0	DXA assessment duration	2019-04-10T00:00:00	2023-03-08T00:00:00	34753	35478	0	1	1	1
21665	Carotid ultrasound duration	0	2	0	11	0	0	0	1	0	0	seconds	152	0	2	2	3	0	0	Carotid ultrasound duration	2019-04-10T00:00:00	2023-03-08T00:00:00	34792	35519	0	1	1	1
21666	ECG at rest duration	0	2	0	11	0	0	0	1	0	0	seconds	152	0	2	2	3	0	0	ECG at rest duration	2019-04-10T00:00:00	2023-03-08T00:00:00	34770	35497	0	1	1	1
21671	Cardiac monitor duration	0	2	0	11	0	0	0	1	0	0	seconds	152	0	2	2	3	0	0	Cardiac monitor duration	2019-04-10T00:00:00	2023-03-08T00:00:00	21687	22024	0	1	1	1
21711	Reception authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	0	3	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10T00:00:00	2023-03-08T00:00:00	502271	593435	0	1	1	1
21721	Consent authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	0	3	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10T00:00:00	2023-03-08T00:00:00	502369	573193	0	1	1	1
21722	Touchscreen authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	0	3	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10T00:00:00	2023-03-08T00:00:00	501444	592037	0	1	1	1
21723	Touchscreen cognitive authorisation (pilot)	0	2	0	21	11	0	2	1	0	0		127	123	2	0	0	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10T00:00:00	2018-01-11T00:00:00	3713	3713	0	1	1	1
21725	Touchscreen cognitive authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	2	3	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10T00:00:00	2023-03-08T00:00:00	50592	54759	0	1	1	1
21731	Verbal interview authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	0	3	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10T00:00:00	2023-03-08T00:00:00	501529	585047	0	1	1	1
21732	Pilot Spirometry authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	0	0	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10T00:00:00	2018-01-11T00:00:00	3735	3735	0	1	1	1
21733	Measurement/Impedance authorisation (pilot)	0	2	0	21	11	0	2	1	0	0		127	123	2	0	0	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10T00:00:00	2018-01-11T00:00:00	3745	3745	0	1	1	1
21734	Biometrics authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	0	3	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10T00:00:00	2023-03-08T00:00:00	498020	586341	0	1	1	1
21736	Eye measures authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	0	3	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10T00:00:00	2023-03-08T00:00:00	134830	139118	0	1	1	1
21738	ECG during exercise authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	0	1	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10T00:00:00	2018-01-12T00:00:00	96525	99496	0	1	1	1
21741	Urine collection authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	0	0	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10T00:00:00	2018-01-11T00:00:00	3710	3710	0	1	1	1
21742	Sample collection authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	0	3	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10T00:00:00	2023-03-08T00:00:00	501203	591370	0	1	1	1
21751	Conclusion authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	0	3	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10T00:00:00	2023-03-08T00:00:00	501713	592787	0	1	1	1
21761	Imaging screening authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	2	3	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10T00:00:00	2023-03-08T00:00:00	65424	70815	0	1	1	1
21762	Brain MRI authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	2	3	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10T00:00:00	2023-03-08T00:00:00	64386	69762	0	1	1	1
21763	Chest MRI authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	2	3	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10T00:00:00	2023-03-08T00:00:00	64448	69818	0	1	1	1
21764	DXA assessment authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	2	3	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10T00:00:00	2023-03-08T00:00:00	65232	70604	0	1	1	1
21765	Carotid ultrasound authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	2	3	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10T00:00:00	2023-03-08T00:00:00	65238	70581	0	1	1	1
21766	ECG at rest authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	2	3	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10T00:00:00	2023-03-08T00:00:00	65120	70332	0	1	1	1
21771	Cardiac monitor authorisation	0	2	0	21	11	0	2	1	0	0		127	123	2	2	3	0	0	This indicates which UK Biobank staff member signed off a stage as having been completed correctly.<p>The original staff usernames have been pseudonyised by replacing them with arbitrary integers.	2018-01-10T00:00:00	2023-03-08T00:00:00	33617	35887	0	1	1	1
21811	Reception sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	0	3	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10T00:00:00	2023-03-07T00:00:00	502272	593436	0	1	1	1
21821	Consent sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	0	3	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10T00:00:00	2023-03-07T00:00:00	502370	573194	0	1	1	1
21822	Touchscreen sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	0	3	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10T00:00:00	2023-03-08T00:00:00	501445	592038	0	1	1	1
21823	Touchscreen cognitive sign-off timestamp (pilot)	0	2	0	61	0	0	2	1	0	0		129	0	2	0	0	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10T00:00:00	2018-01-11T00:00:00	3713	3713	0	1	1	1
21825	Touchscreen cognitive sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	2	3	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10T00:00:00	2023-03-08T00:00:00	50592	54759	0	1	1	1
21831	Verbal nterview sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	0	3	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10T00:00:00	2023-03-08T00:00:00	501530	585048	0	1	1	1
21832	Pilot Spirometry sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	0	0	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10T00:00:00	2018-01-11T00:00:00	3735	3735	0	1	1	1
21833	Measurement/Impedance sign-off timestamp (pilot)	0	2	0	61	0	0	2	1	0	0		129	0	2	0	0	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10T00:00:00	2018-01-11T00:00:00	3745	3745	0	1	1	1
21834	Biometrics sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	0	3	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10T00:00:00	2023-03-08T00:00:00	498021	586342	0	1	1	1
21836	Eye measures sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	0	3	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10T00:00:00	2023-03-08T00:00:00	134830	139118	0	1	1	1
21838	ECG during exercise sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	0	1	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10T00:00:00	2018-01-11T00:00:00	96525	99496	0	1	1	1
21841	Urine collection sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	0	0	0	0	Time when a UK Biobank staff member signed off the urine collection stage as having been completed correctly. <p> Note that urine collection only existed as separate stage during the initial pilot phase. In the later clinics it was subsumed into the Conclusion stage (~F21851~).	2018-01-10T00:00:00	2018-01-11T00:00:00	3710	3710	0	1	1	1
21842	Sample collection sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	0	3	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10T00:00:00	2023-03-08T00:00:00	501204	591371	0	1	1	1
21851	Conclusion sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	0	3	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10T00:00:00	2023-03-08T00:00:00	501714	592788	0	1	1	1
21861	Imaging screening sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	2	3	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10T00:00:00	2023-03-07T00:00:00	65425	70816	0	1	1	1
21862	Brain MRI sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	2	3	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10T00:00:00	2023-03-08T00:00:00	64387	69763	0	1	1	1
21863	Chest MRI sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	2	3	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10T00:00:00	2023-03-08T00:00:00	64449	69819	0	1	1	1
21864	DXA assessment sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	2	3	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10T00:00:00	2023-03-08T00:00:00	65233	70605	0	1	1	1
21865	Carotid ultrasound sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	2	3	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10T00:00:00	2023-03-08T00:00:00	65239	70582	0	1	1	1
21866	ECG at rest sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	2	3	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10T00:00:00	2023-03-08T00:00:00	65121	70333	0	1	1	1
21871	Cardiac monitor sign-off timestamp	0	2	0	61	0	0	2	1	0	0		129	0	2	2	3	0	0	Time when a UK Biobank staff member signed off a stage as having been completed correctly.	2018-01-10T00:00:00	2023-03-08T00:00:00	33617	35887	0	1	1	1
22000	Genotype measurement batch	0	2	0	21	11	0	0	0	0	0		100313	22000	0	0	0	0	0	Genotyping was done using two closely related arrays, referred to as the UK BiLEVE array and the UK Biobank Axiom array. The BiLEVE array was designed first and run on ~50,000 participants. The UKB Axiom array was designed subsequently with a view to maximizing marker overlap as much as possible between the arrays and run on the remaining ~450,000 participants. The UKB Axiom array had over 820,000 SNPs and indel markers, and the UK BiLEVE array was very similar with over 95% common content. <p> Samples were analysed in batches of approximately 4700 items. Interim results from first 33 batches (UKBiLEVE_b1-11 and Batch_b001-022) were released 18 months ahead of the remainder. The CEL files from these interim batches were subsequently re-analysed as part of the QC process for the full release, and this resulted in minor changes to the associated calls.	2014-07-28T00:00:00	2017-04-26T00:00:00	488132	488132	100	2	1	2
22001	Genetic sex	0	0	0	21	11	0	0	0	0	0		100313	9	0	0	0	0	0	Sex as determined from genotyping analysis. <p> In a small number (38) of cases the genetic sex currently listed differs from that calculated at the earlier 'Interim 150K' release. The new values are the result of re-genotyping these samples as they were felt to be of insufficient quality, and the genetic sex now agrees with the sex provided in ~F31~ that was sourced from central registry at recruitment but was updated if the participant reported it was incorrect. <p> Note that in over 300 cases the genetic sex differs from the self-reported value in ~F31~.	2014-08-26T00:00:00	2017-05-23T00:00:00	488132	488132	130	2	1	2
22002	CEL files	0	2	0	41	0	20	0	0	0	0		100313	0	0	0	0	0	0	CEL files <p>Files are downloaded using the ukbfetch utility as described in ~R644~.	2014-09-17T00:00:00	2017-06-30T00:00:00	488132	488132	310	2	1	2
22003	Heterozygosity	0	2	0	31	0	0	3	0	0	0	Fraction	100313	0	0	0	0	0	0	Heterozygosity across a set of high-quality markers. See genotype QC documentation (~R530~) for details.	2015-01-29T00:00:00	2017-05-23T00:00:00	488132	488132	180	2	1	2
22004	Heterozygosity, PCA corrected	0	3	0	31	0	0	3	0	0	0	Fraction	100313	0	0	0	0	0	0	Heterozygosity after adjusting for ancestry using principal components. This metric was used to identify outliers based on heterozygosity and missing rates. See genotype QC documentation (~R530~) for details.	2015-01-29T00:00:00	2017-05-23T00:00:00	488132	488132	190	2	1	2
22005	Missingness	0	2	0	31	0	0	3	0	0	0	Fraction	100313	0	0	0	0	0	0	Missing rate of each sample based on a set of high-quality markers.	2015-01-29T00:00:00	2017-05-23T00:00:00	488132	488132	200	2	1	2
22006	Genetic ethnic grouping	0	2	0	21	11	0	3	0	0	0		100313	1002	0	0	0	0	0	Genetic ethnic group. <p> Indicates samples who self-identified as 'White British' according to ~F21000~ and have very similar genetic ancestry based on a principal components analysis of the genotypes.	2015-01-30T00:00:00	2017-05-23T00:00:00	409522	409522	150	2	1	2
22007	Genotype measurement plate	0	2	0	41	0	0	0	0	0	0		100313	0	0	0	0	0	0	This field indicates on which 96-well plate a particular sample was measured.	2015-02-02T00:00:00	2017-04-26T00:00:00	488132	488132	110	2	1	2
22008	Genotype measurement well	0	2	0	41	0	0	0	0	0	0		100313	0	0	0	0	0	0	Genotype measurements were conducted using 96-well plates. This field indicates the position within a plate of the well used to contain a particular participants sample.	2015-02-02T00:00:00	2017-04-26T00:00:00	488132	488132	120	2	1	2
22009	Genetic principal components	0	2	0	31	0	0	3	0	1	0	Units	100313	0	0	0	0	1	40	Score for each principal component 1-40. See genotype QC documentation in ~R530~ for details.	2015-02-04T00:00:00	2017-07-14T00:00:00	488132	19525280	210	2	1	2
22010	Recommended genomic analysis exclusions	0	2	0	21	11	0	3	0	0	0		199001	1101	0	0	0	0	0	During processing of the genotype data it was deemed that certain samples showed signs of insufficient data quality, and it is recommend their genotype data should not be included in analyses such as GWAS. This field identifies these samples and the reason(s) for recommending their exclusion. Details of the analysis used to detect these samples will be given in forthcoming documentation.	2015-02-11T00:00:00	2015-02-16T00:00:00	480	480	200	2	1	2
22011	Genetic relatedness pairing	0	2	0	11	0	0	3	0	1	0		199001	0	0	0	0	0	4	This field is used to identify pairs of participants who are estimated to be genetically related. <p>Because each set of data distributed to researchers is anonymised differently it is impractical to provide an individually customised list of related participants IDs. Instead, each pairing of related participants is assigned a unique number, and the pairings can be reconstructed by identifying participants who share the same number. <p>The strength of the inferred relationship is indicated in ~F22012~ and ~F22013~.	2015-03-23T00:00:00	2015-03-23T00:00:00	17299	19374	120	2	1	2
22012	Genetic relatedness factor	0	2	0	31	0	0	3	0	1	0		199001	0	0	0	0	0	4	This field gives the kinship coefficient associated with each pair of participants who have the same value for the Genetic relatedness pairing in ~F22011~.	2015-03-23T00:00:00	2015-03-23T00:00:00	17299	19374	140	2	1	2
22013	Genetic relatedness IBS0	0	2	0	31	0	0	3	0	1	0		199001	0	0	0	0	0	4	This field gives the IBS0 value associated with each pair of participants who have the same value for the Genetic relatedness pairing in ~F22011~. <p> For a pair of genotypes, IBS0 it is the proportion of SNPs where one sample carries two A alleles, and the other carries two B alleles.	2015-03-23T00:00:00	2015-03-23T00:00:00	17299	19374	150	2	1	2
22014	Average X chromosome intensities for determining sex	1	2	0	31	0	0	3	0	0	0	Units	100317	0	0	0	0	0	0	Average intensities for variants on the X chromosome used for determining genetic sex.	2015-05-01T00:00:00	2015-05-26T00:00:00	152654	152654	350	2	1	2
22015	Average Y chromosome intensities for determining sex	1	2	0	31	0	0	3	0	0	0	units	100317	0	0	0	0	0	0	Average intensities for variants on the Y chromosome used for determining genetic sex.	2015-05-01T00:00:00	2015-05-26T00:00:00	152654	152654	360	2	1	2
22016	Invitation to complete online occupational questionnaire, date sent	0	2	0	51	0	0	0	0	0	0		123	0	0	0	0	0	0	Dates that invitations to online occupational health questionnaire were emailed to participants.	2015-07-30T00:00:00	2000-01-01T00:00:00	-1	-1	680	1	1	1
22017	Invitation to complete online cognitive function questionnaire, date sent	0	0	0	51	0	0	0	0	0	0		116	0	0	0	0	0	0	Dates that invitations to online cognitive function questionnaire were emailed to participants.	2015-07-30T00:00:00	2020-01-30T00:00:00	339762	339762	110	1	1	1
22018	Genetic relatedness exclusions	0	2	0	21	11	0	3	0	0	0		199001	947	0	0	0	0	0	This field identifies the persons excluded from the calculations of genetic relatedness and gives the reasons for their exclusion.	2016-02-09T00:00:00	2016-02-09T00:00:00	1531	1531	130	2	1	2
22019	Sex chromosome aneuploidy	0	0	0	21	11	0	3	0	0	0		100313	1	0	0	0	0	0	Sex chromosome aneuploidy marker. This indicates samples which were identified as putatively carrying sex chromosome configurations that are not either XX or XY. These were identified by looking at average log2Ratios for Y and X chromosomes.	2017-05-23T00:00:00	2017-05-23T00:00:00	651	651	160	2	1	2
22020	Used in genetic principal components	0	0	0	21	11	0	2	0	0	0		100313	1	0	0	0	0	0	Indicates participants whose samples were used to compute the genetic principal components in ~F22009~. All samples with genotype data were subsequently projected onto each of the 40 computed components.	2017-05-23T00:00:00	2017-05-23T00:00:00	407013	407013	220	2	1	2
22021	Genetic kinship to other participants	0	0	0	21	11	0	3	0	0	0		100313	682	0	0	0	0	0	Genetic kinship to other participants	2017-05-23T00:00:00	2017-05-23T00:00:00	488132	488132	140	2	1	2
22022	Sex inference X probe-intensity	0	0	0	31	0	0	2	0	0	0		100313	0	0	0	0	0	0	Affymetrix metric used for determining sex. Measures average probe intensity on a set of non-polymorphic probes on the X chromosome. Note this set of probes are not in the genotype calls.	2017-05-23T00:00:00	2017-05-23T00:00:00	488132	488132	230	2	1	2
22023	Sex inference Y probe-intensity	0	0	0	31	0	0	2	0	0	0		100313	0	0	0	0	0	0	Affymetrix metric used for determining sex. Measures average probe intensity on a set of non-polymorphic probes on the Y chromosome. Note this set of probes are not in the genotype calls.	2017-05-23T00:00:00	2017-05-23T00:00:00	488132	488132	240	2	1	2
22024	DNA concentration	0	0	0	31	0	0	2	0	0	0	ng/micro-l	100313	0	0	0	0	0	0	Measure of DNA concentration in sample used by Affymetrix to determine genotypes. Labelled in dataset as Internal.Pico..ng.uL.	2017-05-23T00:00:00	2017-05-23T00:00:00	488132	488132	270	2	1	2
22025	Affymetrix quality control metric "Cluster.CR"	0	0	0	31	0	0	2	0	0	0		100313	0	0	0	0	0	0	Affymetrix quality control metric. Corresponds to sample-specific call rate for each individual, computed using probesets internal to Affymetrix.	2017-05-23T00:00:00	2017-05-23T00:00:00	488132	488132	250	2	1	2
22026	Affymetrix quality control metric "dQC"	0	0	0	31	0	0	2	0	0	0		100313	0	0	0	0	0	0	Affymetrix quality control metric. Measures the resolution of the distributions of intensity 'contrast' values, based on intensities of probe sequences for non-polymorphic genome locations. See Affymetrix SNP-polisher documentation for details. Note that values were rounded to 2 decimal places for individuals type on the UKBiobank array, and 5 decimal places for individuals typed on the UKBiLEVE array.	2017-05-23T00:00:00	2017-05-23T00:00:00	488132	488132	260	2	1	2
22027	Outliers for heterozygosity or missing rate	0	0	0	21	11	0	3	0	0	0		100313	1	0	0	0	0	0	Indicates samples identified as outliers in heterozygosity and missing rates, which implies that the genotypes for these samples are of poor quality.	2017-05-25T00:00:00	2017-05-25T00:00:00	968	968	170	2	1	2
22028	Use in phasing Chromosomes 1-22	0	0	0	21	11	0	2	0	0	0		100313	100264	0	0	0	0	0	Indicates whether data from a participant was used in phasing calculation for Chromosomes 1-22.	2017-07-24T00:00:00	2017-07-24T00:00:00	488132	488132	280	2	1	2
22029	Use in phasing Chromosome X	0	0	0	21	11	0	2	0	0	0		100313	100264	0	0	0	0	0	Indicates whether data from a participant was used in phasing calculation for Chromosome X.	2017-07-24T00:00:00	2017-07-24T00:00:00	488132	488132	290	2	1	2
22030	Use in phasing Chromosome XY	0	0	0	21	11	0	2	0	0	0		100313	100264	0	0	0	0	0	Indicates whether data from a participant was used in phasing calculation for Chromosome XY.	2017-07-24T00:00:00	2017-07-24T00:00:00	488132	488132	300	2	1	2
22032	IPAQ activity group	0	0	0	21	11	0	3	1	0	0		54	100700	2	0	0	0	0	IPAQ groups	2018-01-25T00:00:00	2018-05-04T00:00:00	402273	402273	0	1	1	1
22033	Summed days activity	0	0	0	11	0	0	3	1	0	0	days	54	0	2	0	0	0	0	Sum of days performing walking, moderate and vigorous activity.	2018-01-25T00:00:00	2018-05-04T00:00:00	413928	413928	0	1	1	1
22034	Summed minutes activity	0	0	0	11	0	0	3	1	0	0	minutes	54	0	2	0	0	0	0	Sum of mins performing walking, moderate and vigorous activity.	2018-01-25T00:00:00	2018-05-04T00:00:00	402273	402273	0	1	1	1
22035	Above moderate/vigorous recommendation	0	0	0	21	11	0	3	1	0	0		54	7	2	0	0	0	0	Indicates whether a person met the 2017 UK Physical activity guidelines of 150 minutes of moderate activity per week or 75 minutes of vigorous activity.	2018-01-25T00:00:00	2018-05-04T00:00:00	402273	402273	0	1	1	1
22036	Above moderate/vigorous/walking recommendation	0	0	0	21	11	0	3	1	0	0		54	7	2	0	0	0	0	Indicates whether a person met the 2017 UK Physical activity guidelines of 150 minutes of walking or moderate activity per week or 75 minutes of vigorous activity.	2018-01-25T00:00:00	2018-05-04T00:00:00	402161	402161	0	1	1	1
22037	MET minutes per week for walking	0	0	0	31	0	0	3	1	0	0	minutes/week	54	0	2	0	0	0	0	Metabolic Equivalent Task (MET) minutes per week for walking.	2018-01-25T00:00:00	2018-05-04T00:00:00	402273	402273	0	1	1	1
22038	MET minutes per week for moderate activity	0	0	0	31	0	0	3	1	0	0	minutes/week	54	0	2	0	0	0	0	Metabolic Equivalent Task (MET) minutes per week for moderate activity.	2018-01-25T00:00:00	2018-05-04T00:00:00	402273	402273	0	1	1	1
22039	MET minutes per week for vigorous activity	0	0	0	31	0	0	3	1	0	0	minutes/week	54	0	2	0	0	0	0	Metabolic Equivalent Task (MET) minutes per week for vigorous activity.	2018-01-25T00:00:00	2018-05-04T00:00:00	402273	402273	0	1	1	1
22040	Summed MET minutes per week for all activity	0	0	0	31	0	0	3	1	0	0	minutes/week	54	0	2	0	0	0	0	Total Metabolic Equivalent Task (MET) minutes per week for all activity including walking, moderate and vigorous activity.	2018-01-25T00:00:00	2018-05-04T00:00:00	402273	402273	0	1	1	1
22050	UKBiLEVE Affymetrix quality control for samples	1	0	0	21	11	0	0	0	0	0		199001	100	0	0	0	0	0	Sample quality control undertaked by Affymetrix was a DNA quality filter (dish quality control &lt; 0.82) and initial clustering call rate (&lt;97%). 520 duplicates passed Affymetrix quality control in both samples, 33 passed Affymetrix quality control in 1 sample, 0 duplicates failed Affymetrix quality control in both samples. Therefore keeping 1 of each duplicate (the 1 that passed) 50,008 unique samples were present. <p> This derived data field has come from Professor Martin Tobin at the University of Leicester.	2015-03-30T00:00:00	2015-03-31T00:00:00	49985	49985	0	2	1	2
22051	UKBiLEVE genotype quality control for samples	0	0	0	21	11	0	0	0	0	0		199001	100	0	0	0	0	0	Quality control steps carried out in Leicester (the location of the UKBiLEVE project) were: <ul> <li>sex mismatch (remove sample if submitted gender is different to gender inferred from sex chromosomes);</li> <li>final call rate (&lt;95%), heterozygosity outliers (outlier if &gt; 3sd from mean heterozygosity);</li> <li>unintended duplicate (> 98% of alleles shared identical by descent);</li> <li>ancestry principal components outlier (outlier if &gt;10sd from mean on first 10 principal components).</li> </ul> <p> This derived data field has come from Professor Martin Tobin at the University of Leicester.	2015-03-30T00:00:00	2015-03-31T00:00:00	49985	49985	0	2	1	2
22052	UKBiLEVE unrelatedness indicator	0	0	0	21	11	0	0	0	0	0		199001	101	0	0	0	0	0	Indicates whether a UKBiLEVE sample may be included in a subset of unrelated UKBiLEVE samples. Samples were coded as "Not_tested" if they failed Affymetrix quality control (~F22050~) or Leicester quality control (~F22051~). <p> ~F22011~ should be used if the set of participants being analysed included non-UKBiLEVE samples. <p> This derived data field has come from Professor Martin Tobin at the University of Leicester.	2015-03-30T00:00:00	2015-03-31T00:00:00	49985	49985	210	2	1	2
22100	Chromosome XY genotype results	4	0	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome XY (pseduo-autosomal regions) genotype results.	2017-04-18T00:00:00	2017-07-21T00:00:00	488132	488132	340	2	1	2
22101	Chromosome 1 genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 1 genotype results.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	100	2	1	2
22102	Chromosome 2 genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 2 genotype results.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	110	2	1	2
22103	Chromosome 3 genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 3 genotype results.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	120	2	1	2
22104	Chromosome 4 genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 4 genotype results.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	130	2	1	2
22105	Chromosome 5 genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 5 genotype results.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	140	2	1	2
22106	Chromosome 6 genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 6 genotype results.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	150	2	1	2
22107	Chromosome 7 genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 7 genotype results.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	160	2	1	2
22108	Chromosome 8 genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 8 genotype results.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	170	2	1	2
22109	Chromosome 9 genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 9 genotype results.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	180	2	1	2
22110	Chromosome 10 genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 10 genotype results.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	190	2	1	2
22111	Chromosome 11 genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 11 genotype results.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	200	2	1	2
22112	Chromosome 12 genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 12 genotype results.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	210	2	1	2
22113	Chromosome 13 genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 13 genotype results.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	220	2	1	2
22114	Chromosome 14 genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 14 genotype results.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	230	2	1	2
22115	Chromosome 15 genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 15 genotype results.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	240	2	1	2
22116	Chromosome 16 genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 16 genotype results.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	250	2	1	2
22117	Chromosome 17 genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 17 genotype results.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	260	2	1	2
22118	Chromosome 18 genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 18 genotype results.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	270	2	1	2
22119	Chromosome 19 genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 19 genotype results.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	280	2	1	2
22120	Chromosome 20 genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 20 genotype results.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	290	2	1	2
22121	Chromosome 21 genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 21 genotype results.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	300	2	1	2
22122	Chromosome 22 genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome 22 genotype results.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	310	2	1	2
22123	Chromosome X genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome X genotype results. <p> Note that ~R1007~ should be used when examining SNP posterior data for Chromosome X.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	320	2	1	2
22124	Chromosome Y genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Chromosome Y genotype results.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	330	2	1	2
22125	Mitochondrial genotype results	4	2	0	41	0	20	0	0	0	0		100315	0	0	0	0	0	0	Mitochondrial genotype results.	2014-08-26T00:00:00	2017-07-21T00:00:00	488132	488132	350	2	1	2
22126	Doctor diagnosed hayfever or allergic rhinitis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"hayfever or allergic rhinitis" was one of the options listed.	2015-07-10T00:00:00	2017-07-27T00:00:00	121248	121248	290	1	1	1
22127	Doctor diagnosed asthma	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"asthma" was one of the options listed.	2015-07-10T00:00:00	2017-07-27T00:00:00	121248	121248	220	1	1	1
22128	Doctor diagnosed emphysema	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"emphysema" was one of the options listed.	2015-07-10T00:00:00	2017-07-27T00:00:00	121248	121248	270	1	1	1
22129	Doctor diagnosed chronic bronchitis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"chronic bronchitis" was one of the options listed.	2015-07-10T00:00:00	2017-07-27T00:00:00	121248	121248	240	1	1	1
22130	Doctor diagnosed COPD (chronic obstructive pulmonary disease)	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"COPD (Chronic Obstructive Pulmonary Disease)" was one of the options listed.	2015-07-10T00:00:00	2017-07-27T00:00:00	121248	121248	250	1	1	1
22131	Doctor diagnosed cystic fibrosis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"cystic fibrosis" was one of the options listed.	2015-07-10T00:00:00	2017-07-27T00:00:00	121248	121248	260	1	1	1
22132	Doctor diagnosed alpha-1 antitrypsin deficiency	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"alpha-1 antitrypsin deficiency" was one of the options listed.	2015-07-10T00:00:00	2017-07-27T00:00:00	121248	121248	200	1	1	1
22133	Doctor diagnosed sarcoidosis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"sarcoidosis" was one of the options listed.	2015-07-10T00:00:00	2017-07-27T00:00:00	121248	121248	330	1	1	1
22134	Doctor diagnosed bronchiectasis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"bronchiectasis" was one of the options listed.	2015-07-10T00:00:00	2017-07-27T00:00:00	121248	121248	230	1	1	1
22135	Doctor diagnosed idiopathic pulmonary fibrosis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"idiopathic pulmonary fibrosis" was one of the options listed.	2015-07-10T00:00:00	2017-07-27T00:00:00	121248	121248	300	1	1	1
22136	Doctor diagnosed fibrosing alveolitis/unspecified alveolitis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"fibrosing alveolitis/unspecified alveolitis" was one of the options listed.	2015-07-10T00:00:00	2017-07-27T00:00:00	121248	121248	280	1	1	1
22137	Doctor diagnosed tuberculosis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"tuberculosis" was one of the options listed.	2015-07-10T00:00:00	2017-07-27T00:00:00	121248	121248	350	1	1	1
22138	Doctor diagnosed silicosis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"silicosis" was one of the options listed.	2015-07-10T00:00:00	2017-07-27T00:00:00	121248	121248	340	1	1	1
22139	Doctor diagnosed asbestosis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"asbestosis" was one of the options listed.	2015-07-10T00:00:00	2017-07-27T00:00:00	121248	121248	210	1	1	1
22140	Doctor diagnosed lung cancer (not mesothelioma)	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"lung cancer (not mesothelioma)" was one of the options listed.	2015-07-10T00:00:00	2017-07-27T00:00:00	121248	121248	310	1	1	1
22141	Doctor diagnosed mesothelioma of the lung	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked "Has a doctor ever told you that you have had any of the conditions below?"<p>"mesothelioma of the lung" was one of the options listed.	2015-07-10T00:00:00	2017-07-27T00:00:00	121248	121248	320	1	1	1
22146	Age hayfever or allergic rhinitis diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed hayfever or allergic rhinitis	2015-07-10T00:00:00	2017-07-27T00:00:00	27696	27696	450	1	1	1
22147	Age asthma diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed asthma	2015-07-10T00:00:00	2017-07-27T00:00:00	15488	15488	380	1	1	1
22148	Age emphysema diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed emphysema	2015-07-10T00:00:00	2017-07-27T00:00:00	365	365	430	1	1	1
22149	Age chronic bronchitis diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed chronic bronchitis	2015-07-10T00:00:00	2017-07-27T00:00:00	1382	1382	400	1	1	1
22150	Age COPD (Chronic Obstructive Pulmonary Disease) diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed COPD (Chronic Obstructive Pulmonary Disease)	2015-07-10T00:00:00	2017-07-27T00:00:00	1768	1768	410	1	1	1
22151	Age cystic fibrosis diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed cystic fibrosis	2015-07-10T00:00:00	2016-01-29T00:00:00	9	9	420	1	1	1
22152	Age alpha-1 antitrypsin deficiency diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed alpha-1 antitrypsin deficiency	2015-07-10T00:00:00	2015-11-26T00:00:00	48	48	360	1	1	1
22153	Age sarcoidosis diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed sarcoidosis	2015-07-10T00:00:00	2017-07-27T00:00:00	529	529	490	1	1	1
22154	Age bronchiectasis diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed bronchiectasis	2015-07-10T00:00:00	2017-07-27T00:00:00	1073	1073	390	1	1	1
22155	Age idiopathic pulmonary fibrosis diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed idiopathic pulmonary fibrosis	2015-07-10T00:00:00	2017-02-03T00:00:00	108	108	460	1	1	1
22156	Age fibrosing alveolitis/unspecified alveolitis diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed fibrosing alveolitis/unspecified alveolitis	2015-07-10T00:00:00	2016-01-29T00:00:00	46	46	440	1	1	1
22157	Age tuberculosis diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed tuberculosis	2015-07-10T00:00:00	2017-07-27T00:00:00	654	654	510	1	1	1
22158	Age silicosis diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed silicosis	2015-07-10T00:00:00	2015-09-29T00:00:00	8	8	500	1	1	1
22159	Age asbestosis diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed asbestosis	2015-07-10T00:00:00	2016-09-16T00:00:00	85	85	370	1	1	1
22160	Age lung cancer (not mesothelioma) diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed lung cancer (not mesothelioma)	2015-07-10T00:00:00	2017-07-27T00:00:00	156	156	470	1	1	1
22161	Age mesothelioma of the lung diagnosed by doctor	0	2	0	11	0	0	0	0	0	0		132	0	0	0	0	0	0	User was asked the age at which doctor diagnosed mesothelioma of the lung	2015-07-10T00:00:00	2017-07-27T00:00:00	14	14	480	1	1	1
22166	Recent medication for hayfever or allergic rhinitis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the hayfever or allergic rhinitis which was diagnosed by a doctor	2015-07-10T00:00:00	2017-07-27T00:00:00	27696	27696	610	1	1	1
22167	Recent medication for asthma	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the asthma which was diagnosed by a doctor	2015-07-10T00:00:00	2017-07-27T00:00:00	15488	15488	540	1	1	1
22168	Recent medication for emphysema	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the emphysema which was diagnosed by a doctor	2015-07-10T00:00:00	2017-07-27T00:00:00	365	365	590	1	1	1
22169	Recent medication for chronic bronchitis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the chronic bronchitis which was diagnosed by a doctor	2015-07-10T00:00:00	2017-07-27T00:00:00	1382	1382	560	1	1	1
22170	Recent medication for COPD (Chronic Obstructive Pulmonary Disease)	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the COPD (Chronic Obstructive Pulmonary Disease) which was diagnosed by a doctor	2015-07-10T00:00:00	2017-07-27T00:00:00	1768	1768	570	1	1	1
22171	Recent medication for cystic fibrosis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the cystic fibrosis which was diagnosed by a doctor	2015-07-10T00:00:00	2016-01-29T00:00:00	9	9	580	1	1	1
22172	Recent medication for alpha-1 antitrypsin deficiency	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the alpha-1 antitrypsin deficiency which was diagnosed by a doctor	2015-07-10T00:00:00	2015-11-26T00:00:00	48	48	520	1	1	1
22173	Recent medication for sarcoidosis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the sarcoidosis which was diagnosed by a doctor	2015-07-10T00:00:00	2017-07-27T00:00:00	529	529	650	1	1	1
22174	Recent medication for bronchiectasis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the bronchiectasis which was diagnosed by a doctor	2015-07-10T00:00:00	2017-07-27T00:00:00	1073	1073	550	1	1	1
22175	Recent medication for idiopathic pulmonary fibrosis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the idiopathic pulmonary fibrosis which was diagnosed by a doctor	2015-07-10T00:00:00	2017-02-03T00:00:00	108	108	620	1	1	1
22176	Recent medication for fibrosing alveolitis/unspecified alveolitis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the fibrosing alveolitis/unspecified alveolitis which was diagnosed by a doctor	2015-07-10T00:00:00	2016-01-29T00:00:00	46	46	600	1	1	1
22177	Recent medication for tuberculosis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the tuberculosis which was diagnosed by a doctor	2015-07-10T00:00:00	2017-07-27T00:00:00	654	654	670	1	1	1
22178	Recent medication for silicosis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the silicosis which was diagnosed by a doctor	2015-07-10T00:00:00	2015-09-29T00:00:00	8	8	660	1	1	1
22179	Recent medication for asbestosis	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the asbestosis which was diagnosed by a doctor	2015-07-10T00:00:00	2016-09-16T00:00:00	85	85	530	1	1	1
22180	Recent medication for lung cancer (not mesothelioma)	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the lung cancer (not mesothelioma) which was diagnosed by a doctor	2015-07-10T00:00:00	2017-07-27T00:00:00	156	156	630	1	1	1
22181	Recent medication for mesothelioma of the lung	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	User asked whether they are currently on medication for the mesothelioma of the lung which was diagnosed by a doctor	2015-07-10T00:00:00	2017-07-27T00:00:00	14	14	640	1	1	1
22182	HLA imputation values	0	2	0	101	0	0	3	0	0	0		100035	0	0	0	0	0	0	Each entry contains all HLA loci (one line per person) in the following order: <p> A, B, C, DRB5, DRB4, DRB3, DRB1, DQB1, DQA1, DPB1, DPA1 <p> There is one value (separated by commas) per imputed allele and only the best-guess alleles are reported. The quantities P(A1|D) and P(A2|D,A1) from the Q column of the HLA:IMP*2 output are reported for each locus. For further information on the calculation methodology and the Quality metric see ~R182~. <p>To extract this data into a single file, approved researchers in possession of a UKB dataset may use -s22182 as a parameter to the ukbconv utility. To download an example row of data see ~R1520~.	2016-03-18T00:00:00	2017-05-19T00:00:00	488132	488132	360	2	1	2
22189	Townsend deprivation index at recruitment	0	0	0	31	0	0	3	0	0	0		100094	0	0	0	0	0	0	Townsend deprivation index calculated immediately prior to participant joining UK Biobank. Based on the preceding national census output areas. Each participant is assigned a score corresponding to the output area in which their postcode is located. <p> The values here are rounded to 2 decimal places, replacing an earlier unrounded version.	2023-02-16T00:00:00	2023-02-22T00:00:00	501745	501745	150	1	1	1
22190	Unadjusted T/S ratio	0	2	0	31	0	0	0	1	0	0	ratio	265	0	2	0	2	0	0	Relative leucocyte telomere length measured by quantitative PCR. This measure is a ratio of telomere repeat copy number to single copy gene (<i>HBB</i>) copy number, relative to a standard sample. Full details of the methodology used to measure telomere length can be found in Codd, V. et al (~Ehttps://doi.org/10.1101/2021.03.18.21253457~.) <br> <br> Please note that this is a raw measure and has not been adjusted to remove technical variation. We strongly recommend that for any analysis, researchers use the technically adjusted measures provided in ~F22191~ (Adjusted T/S ratio) or ~F22192~ (Z-adjusted T/S). Details of the technical adjustment can also be found in Codd, V. et al (~Ehttps://doi.org/10.1101/2021.03.18.21253457~.)	2020-08-21T00:00:00	2021-01-22T00:00:00	473958	473960	0	2	1	2
22191	Adjusted T/S ratio	0	2	0	31	0	0	3	1	0	0	ratio	265	0	2	0	2	0	0	Relative leucocyte telomere length (~F22190~) adjusted for the influence of technical parameters. Full details of the technical adjustment can be found in Codd, V. et al (~Ehttps://doi.org/10.1101/2021.03.18.21253457~).	2020-08-21T00:00:00	2021-01-22T00:00:00	473958	473960	0	2	1	2
22192	Z-adjusted T/S log	0	2	0	31	0	0	3	1	0	0	ratio	265	0	2	0	2	0	0	Technically adjusted leucocyte telomere length (~F22191~) which has been both loge-transformed to obtain a normal distribution and then Z-standardised using the distribution of all individuals with a telomere length measurement. We recommend the use of these measurements to allow comparison to other studies where Z-standardised measures are available Full details of these measures and adjustments can be found in Codd, V. et al (~Ehttps://doi.org/10.1101/2021.03.18.21253457~), and exemplar use of the measurements, including a GWAS, can be found in Codd, V. et al (~Ehttps://doi.org/10.1101/2021.03.23.21253516~.)	2020-08-21T00:00:00	2021-01-22T00:00:00	473958	473960	0	2	1	2
22193	Telomere measurement plate	0	0	1	41	0	0	2	1	0	0		265	0	2	0	2	0	0	Original telomere measurement plate. Note that most samples were replated from the shipping plate for measurement, so this is an unreliable indicator of group/batch effects and thus will not be routinely distributed.	2021-01-17T00:00:00	2021-01-22T00:00:00	473958	473960	0	2	1	2
22194	T/S ratio for regression dilution bias	0	0	0	31	0	0	3	1	0	0		265	0	2	0	2	0	0	To gain an estimate of within-individual variation in leucocyte telomere length, paired measurements were made for 1351 UK Biobank participants for whom two separate DNA samples were available (taken at a mean difference of 5.5 years apart). These samples were taken from the baseline visit and one follow-up visit. As these measurements were performed in pairs (under the same technical conditions and parameters), no further technical adjustments were necessary. These measurements may not correspond to those for the same individuals within the main datasets (~F22190~, ~F22191~, ~F22192~) due to re-plating and re-measurement of the sample to produce the paired measurements for this specific analysis. For this reason, these data should be used independently of the main datasets and not in combination. Full details of this experiment can be found in Codd, V. et al (~Ehttps://doi.org/10.1101/2021.03.18.21253457~), and exemplar use of the derived regression dilution ratio can be found in Codd V et al (~Ehttps://doi.org/10.1101/2021.03.23.21253516~).<br><br> <b>Researchers wishing to correct for regression dilution bias should use a correction factor of 0.65 for ~F22191~ and a correction factor of 0.68 for ~F22192~.</b>	2021-01-17T00:00:00	2021-01-22T00:00:00	1351	2702	0	2	1	2
22200	Year of birth	0	2	0	11	0	0	0	0	0	0	calendar year	130	0	0	0	0	0	0	Year of birth as entered by participant.	2015-07-22T00:00:00	2017-07-27T00:00:00	121248	121248	110	1	1	1
22201	Chromosome 1 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 1 genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	1	2	1	2
22202	Chromosome 2 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 2 genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	2	2	1	2
22203	Chromosome 3 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 3 genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	3	2	1	2
22204	Chromosome 4 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 4 genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	4	2	1	2
22205	Chromosome 5 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 5 genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	5	2	1	2
22206	Chromosome 6 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 6 genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	6	2	1	2
22207	Chromosome 7 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 7 genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	7	2	1	2
22208	Chromosome 8 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 8 genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	8	2	1	2
22209	Chromosome 9 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 9 genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	9	2	1	2
22210	Chromosome 10 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 10 genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	10	2	1	2
22211	Chromosome 11 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 11 genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	11	2	1	2
22212	Chromosome 12 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 12 genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	12	2	1	2
22213	Chromosome 13 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 13 genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	13	2	1	2
22214	Chromosome 14 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 14 genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	14	2	1	2
22215	Chromosome 15 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 15 genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	15	2	1	2
22216	Chromosome 16 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 16 genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	16	2	1	2
22217	Chromosome 17 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 17 genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	17	2	1	2
22218	Chromosome 18 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 18 genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	18	2	1	2
22219	Chromosome 19 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 19 genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	19	2	1	2
22220	Chromosome 20 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 20 genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	20	2	1	2
22221	Chromosome 21 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 21 genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	21	2	1	2
22222	Chromosome 22 genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome 22 genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	22	2	1	2
22223	Chromosome X genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome X genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	23	2	1	2
22224	Chromosome Y genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Chromosome Y genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	24	2	1	2
22225	Mitochondrial genotype probabilities	1	2	0	41	0	20	0	0	0	0		100316	0	0	0	0	0	0	Mitochondrial genotype probabilities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	25	2	1	2
22297	Analysis date	1	2	1	51	0	0	2	1	0	0		348	0	2	2	2	0	0	This is the date on which the data returned by the monitor was extracted.	2019-02-26T00:00:00	2023-03-10T00:00:00	578	578	0	1	1	1
22298	Impedance	0	2	1	41	0	20	0	1	0	0		348	0	2	2	2	0	0	Impedance	2019-02-26T00:00:00	2022-11-04T00:00:00	7799	7799	0	2	2	2
22299	Acceleration	0	2	1	41	0	20	0	1	0	0		348	0	2	2	2	0	0	Acceleration	2019-02-26T00:00:00	2022-11-04T00:00:00	7799	7799	0	2	2	2
22300	ECG trace	0	2	1	41	0	20	0	1	0	0		348	0	2	2	2	0	0	ECG trace	2019-02-26T00:00:00	2022-11-04T00:00:00	7799	7799	0	2	2	2
22301	Chromosome 1 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 1 genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	100	2	1	2
22302	Chromosome 2 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 2 genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	110	2	1	2
22303	Chromosome 3 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 3 genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	120	2	1	2
22304	Chromosome 4 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 4 genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	130	2	1	2
22305	Chromosome 5 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 5 genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	140	2	1	2
22306	Chromosome 6 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 6 genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	150	2	1	2
22307	Chromosome 7 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 7 genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	160	2	1	2
22308	Chromosome 8 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 8 genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	170	2	1	2
22309	Chromosome 9 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 9 genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	180	2	1	2
22310	Chromosome 10 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 10 genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	190	2	1	2
22311	Chromosome 11 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 11 genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	200	2	1	2
22312	Chromosome 12 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 12 genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	210	2	1	2
22313	Chromosome 13 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 13 genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	220	2	1	2
22314	Chromosome 14 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 14 genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	230	2	1	2
22315	Chromosome 15 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 15 genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	240	2	1	2
22316	Chromosome 16 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 16 genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	250	2	1	2
22317	Chromosome 17 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 17 genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	260	2	1	2
22318	Chromosome 18 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 18 genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	270	2	1	2
22319	Chromosome 19 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 19 genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	280	2	1	2
22320	Chromosome 20 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 20 genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	290	2	1	2
22321	Chromosome 21 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 21 genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	300	2	1	2
22322	Chromosome 22 genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome 22 genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	310	2	1	2
22323	Chromosome X genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome X genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	320	2	1	2
22324	Chromosome Y genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Chromosome Y genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	330	2	1	2
22325	Mitochondrial genotype intensities	1	2	0	41	0	20	0	0	0	0		100317	0	0	0	0	0	0	Mitochondrial genotype intensities	2014-08-26T00:00:00	2015-04-09T00:00:00	152654	152654	340	2	1	2
22330	PQ interval	0	2	0	11	0	0	0	1	0	0	ms	104	0	2	2	3	0	0	PQ interval during ECG	2018-09-25T00:00:00	2022-04-07T00:00:00	44331	47988	180	1	1	1
22331	QT interval	0	2	0	11	0	0	0	1	0	0	ms	104	0	2	2	3	0	0	QT interval during ECG	2018-09-25T00:00:00	2022-04-07T00:00:00	46725	50644	210	1	1	1
22332	QTC interval	0	2	0	11	0	0	0	1	0	0	ms	104	0	2	2	3	0	0	QTC interval during ECG	2018-09-25T00:00:00	2022-04-07T00:00:00	46725	50644	220	1	1	1
22333	RR interval	0	2	0	11	0	0	0	1	0	0	ms	104	0	2	2	3	0	0	RR interval during ECG	2018-09-25T00:00:00	2022-04-07T00:00:00	46725	50644	230	1	1	1
22334	PP interval	0	2	0	11	0	0	0	1	0	0	ms	104	0	2	2	3	0	0	PP interval during ECG	2018-09-25T00:00:00	2022-04-07T00:00:00	46725	50644	170	1	1	1
22335	P axis	0	2	0	11	0	0	0	1	0	0	degrees	104	0	2	2	3	0	0	P axis during ECG	2018-09-25T00:00:00	2022-04-07T00:00:00	44419	48085	240	1	1	1
22336	R axis	0	2	0	11	0	0	0	1	0	0	degrees	104	0	2	2	3	0	0	R axis during ECG	2018-09-25T00:00:00	2022-04-07T00:00:00	46725	50644	250	1	1	1
22337	T axis	0	2	0	11	0	0	0	1	0	0	degrees	104	0	2	2	3	0	0	T axis during ECG	2018-09-25T00:00:00	2022-04-07T00:00:00	46725	50644	260	1	1	1
22338	QRS num	0	2	0	11	0	0	0	1	0	0	units	104	0	2	2	3	0	0	QRS num during ECG	2018-09-25T00:00:00	2022-04-07T00:00:00	46725	50644	190	1	1	1
22400	Liver iron (Fe)	4	0	0	31	0	0	3	1	0	0	mg/g	126	0	2	0	0	0	0	Liver iron (Fe) derived from liver MRI scan. <br> <br>Derived variable from application 9914. Use in the following publication: <br> <br>Wilman HR, Kelly M, Garratt S, Matthews PM, Milanesi M, Herlihy A, et al. (2017) Characterisation of liver fat in the UK Biobank cohort. PLoS ONE 12(2): e0172921. doi:10.1371/journal.pone.0172921	2015-09-18T00:00:00	2015-10-08T00:00:00	1112	1112	160	1	1	1
22401	Liver inflammation factor (LIF)	4	0	0	31	0	0	3	1	0	0	units	126	0	2	0	0	0	0	Liver inflammation factor (LIF) is measured on a scale of 0 to 4 where 0 is regarded as normal and 4 as indicating high fibrosis. <br> <br>Derived variable from application 9914. Use in the following publication: <br> <br>Wilman HR, Kelly M, Garratt S, Matthews PM, Milanesi M, Herlihy A, et al. (2017) Characterisation of liver fat in the UK Biobank cohort. PLoS ONE 12(2): e0172921. doi:10.1371/journal.pone.0172921	2015-09-18T00:00:00	2015-10-08T00:00:00	1095	1095	140	1	1	1
22402	Proton density fat fraction (PDFF)	4	0	0	31	0	0	3	1	0	0	percent	126	0	2	2	2	0	0	Liver fat percentage is defined as : fat / ( water + fat ) <br> <br>Derived variable from application 9914. Use in the following publication: <br> <br>Wilman HR, Kelly M, Garratt S, Matthews PM, Milanesi M, Herlihy A, et al. (2017) Characterisation of liver fat in the UK Biobank cohort. PLoS ONE 12(2): e0172921. doi:10.1371/journal.pone.0172921	2015-09-18T00:00:00	2018-04-27T00:00:00	4614	4614	130	1	1	1
22403	Anterior thigh fat-free muscle volume (right)	0	2	0	31	0	0	3	1	0	0	litres	149	0	2	2	3	0	0	Anterior thigh includes quadriceps femoris, sartorius, and tensor fascia latae. Fat-free muscle volume (FFMV) is defined as the volume of all voxels with fat fraction <50% ('viable muscle tissue') in the thighs. This field replaces "Anterior thigh lean muscle volume (right)". <p> Values were recalculated and replaced for approximately 25,000 participants in 2021.	2015-09-18T00:00:00	2022-11-11T00:00:00	39861	40676	170	1	1	1
22404	Posterior thigh fat-free muscle volume (right)	0	2	0	31	0	0	3	1	0	0	litres	149	0	2	2	3	0	0	Posterior thigh include gluteus muscles, iliacus, adductor muscles, and hamstring muscles. Fat-free muscle volume (FFMV) is defined as the volume of all voxels with fat fraction <50% ('viable muscle tissue') in the thighs. This field replaces "Posterior thigh lean muscle volume (right)". <p> Values were recalculated and replaced for approximately 25,000 participants in 2021.	2015-09-18T00:00:00	2022-11-11T00:00:00	39875	40690	190	1	1	1
22405	Anterior thigh fat-free muscle volume (left)	0	2	0	31	0	0	3	1	0	0	litres	149	0	2	2	3	0	0	Anterior thigh includes quadriceps femoris, sartorius, and tensor fascia latae. Fat-free muscle volume (FFMV) is defined as the volume of all voxels with fat fraction <50% ('viable muscle tissue') in the thighs. This field replaces "Anterior thigh lean muscle volume (left)". <p> Values were recalculated and replaced for approximately 25,000 participants in 2021.	2015-09-18T00:00:00	2022-11-11T00:00:00	39656	40470	160	1	1	1
22406	Posterior thigh fat-free muscle volume (left)	0	2	0	31	0	0	3	1	0	0	litres	149	0	2	2	3	0	0	Posterior thigh include gluteus muscles, iliacus, adductor muscles, and hamstring muscles. Fat-free muscle volume (FFMV) is defined as the volume of all voxels with fat fraction <50% ('viable muscle tissue') in the thighs. This field replaces "Posterior thigh lean muscle volume (left)". <p> Values were recalculated and replaced for approximately 25,000 participants in 2021.	2015-09-18T00:00:00	2022-11-11T00:00:00	39688	40503	180	1	1	1
22407	Visceral adipose tissue volume (VAT)	0	2	0	31	0	0	3	1	0	0	litres	149	0	2	2	3	0	0	Adipose tissue within the abdominal cavity, excluding adipose tissue outside the abdominal skeletal muscles and adipose tissue and lipids within the cavity and posterior of the spine and back muscles. <p> Values were recalculated and replaced for approximately 25,000 participants in 2021.	2015-09-18T00:00:00	2022-11-11T00:00:00	40178	40997	140	1	1	1
22408	Abdominal subcutaneous adipose tissue volume (ASAT)	0	2	0	31	0	0	3	1	0	0	litres	149	0	2	2	3	0	0	Subcutaneous adipose tissue in the abdomen from the top of the femoral head to the top of the thoracic vertebrae T9. <p> Values were recalculated and replaced for approximately 25,000 participants in 2021.	2015-09-18T00:00:00	2022-11-11T00:00:00	40167	40986	130	1	1	1
22409	Total thigh fat-free muscle volume	0	2	0	31	0	0	3	1	0	0	litres	149	0	2	2	2	0	0	Anterior thigh includes quadriceps femoris, sartorius, and tensor fascia latae. Posterior thigh include gluteus muscles, iliacus, adductor muscles, and hamstring muscles. Fat-free muscle volume (FFMV) is defined as the volume of all voxels with fat fraction <50% ('viable muscle tissue') in the thighs. This field replaces "Total thigh muscle volume". <p> Values were recalculated and replaced for approximately 25,000 participants in 2021.	2017-01-06T00:00:00	2022-11-11T00:00:00	39437	39437	150	1	1	1
22410	Total trunk fat volume	0	2	0	31	0	0	3	1	0	0	litres	149	0	2	2	2	0	0	Total abdominal fat. Visceral adipose tissue (VAT) volume + abdominal subcutaneous adipose tissue (ASAT) volume. <p> Values were recalculated and replaced for approximately 25,000 participants in 2021.	2017-01-06T00:00:00	2022-11-11T00:00:00	40085	40085	100	1	1	1
22411	VAT/ASAT error indicator	4	2	0	21	11	0	3	1	0	0		149	403	2	2	2	0	0	VAT/ASAT error indicator, indicates that one or more slab(s) are missing in the torso region so that the data is not analysable for VAT/ASAT.	2017-01-06T00:00:00	2017-10-26T00:00:00	25	25	220	1	1	1
22412	Thigh error indicator (left)	4	2	0	22	11	0	3	1	1	0		149	401	2	2	2	0	1	Left thigh error indicator	2017-01-06T00:00:00	2017-10-26T00:00:00	227	231	200	1	1	1
22413	Thigh error indicator (right)	4	2	0	22	11	0	3	1	1	0		149	401	2	2	2	0	1	Right thigh error indicator	2017-01-06T00:00:00	2017-10-26T00:00:00	175	178	210	1	1	1
22414	Image quality indicator	4	2	0	21	11	0	3	1	1	0		149	400	2	2	2	0	1	General image quality indicator for VAT, ASAT and thigh measurements.	2017-01-06T00:00:00	2017-10-26T00:00:00	82	83	230	1	1	1
22415	Total adipose tissue volume	0	2	0	31	0	0	3	1	0	0	litres	149	0	2	2	2	0	0	The total volume of adipose tissue, measured by MRI, between the bottom of the thigh muscles to the top of vertebrae T9.	2019-03-27T00:00:00	2019-03-30T00:00:00	8522	8522	110	1	1	1
22416	Total lean tissue volume	0	2	0	31	0	0	3	1	0	0	litres	149	0	2	2	2	0	0	The total volume of lean tissue, measured by MRI, between the bottom of the thigh muscles to the top of vertebrae T9.	2019-03-27T00:00:00	2019-03-30T00:00:00	8522	8522	120	1	1	1
22417	Liver iron corrected T1 (ct1)	4	0	0	31	0	0	3	1	0	0	msec	126	0	2	2	2	0	0	Liver iron corrected T1 (ct1) is measure of liver inflammation and fibrosis. See Mojtahed A, et al. Abdom Radiol. 2019 Jan;44(1):72-84. doi: 10.1007/s00261-018-1701-2. PMID: 30032383 <br><br>Derived variable provided by Perspectum (application #9914)	2020-01-08T00:00:00	2020-01-08T00:00:00	2816	2816	150	1	1	1
22418	Genotype calls	0	0	0	11	0	30	0	0	0	0	blocks	100315	0	0	0	0	0	0	Genotype calls. Obtained using <pre> gfetch 22418 -cN </pre> where N is the chromosome number. Add -m flag to obtain the participant mapping file.	2020-09-28T00:00:00	2020-10-22T00:00:00	488132	488132	0	2	1	2
22419	Genotype confidences	0	0	0	11	0	30	0	0	0	0	blocks	100315	0	0	0	0	0	0	Genotype confidences. Obtained using <pre> gfetch 22419 -cN </pre> where N is the chromosome number. Add -m flag to obtain the participant mapping file.	2020-10-05T00:00:00	2020-10-22T00:00:00	488132	488132	0	2	1	2
22420	LV ejection fraction	0	2	0	11	0	0	3	1	0	0	percent	133	0	2	2	3	0	0	Left ventricular ejection fraction<br><br> Please be aware that the inline VF results are fully automated without any expert quality control. Caution is advised to use results without any visual quality control or linear bias correction as recommended in the following paper: Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results. Suinesiaputra, A. et al. Int J Cardiovasc Imaging. 2018 (https://dx.doi.org/10.1007%2Fs10554-017-1225-9). Expert research groups are performing CMR analysis with quality control and these will be available in the Returns Catalogue.	2015-09-18T00:00:00	2020-01-31T00:00:00	39695	40598	0	1	1	1
22421	LV end diastolic volume	0	2	0	11	0	0	3	1	0	0	mL	133	0	2	2	3	0	0	Left ventricular end diastolic volume <br> <br> Please be aware that the inline VF results are fully automated without any expert quality control. Caution is advised to use results without any visual quality control or linear bias correction as recommended in the following paper: Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results. Suinesiaputra, A. et al. Int J Cardiovasc Imaging. 2018 (https://dx.doi.org/10.1007%2Fs10554-017-1225-9). Expert research groups are performing CMR analysis with quality control and these will be available in the Returns Catalogue.	2015-09-18T00:00:00	2020-01-31T00:00:00	39695	40598	0	1	1	1
22422	LV end systolic volume	0	2	0	11	0	0	3	1	0	0	mL	133	0	2	2	3	0	0	Left ventricular end systolic volume <br> <br> Please be aware that the inline VF results are fully automated without any expert quality control. Caution is advised to use results without any visual quality control or linear bias correction as recommended in the following paper: Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results. Suinesiaputra, A. et al. Int J Cardiovasc Imaging. 2018 (https://dx.doi.org/10.1007%2Fs10554-017-1225-9). Expert research groups are performing CMR analysis with quality control and these will be available in the Returns Catalogue.	2015-09-18T00:00:00	2020-01-31T00:00:00	39695	40598	0	1	1	1
22423	LV stroke volume	0	2	0	11	0	0	3	1	0	0	mL	133	0	2	2	3	0	0	Left ventricular stroke volume <br> <br> Please be aware that the inline VF results are fully automated without any expert quality control. Caution is advised to use results without any visual quality control or linear bias correction as recommended in the following paper: Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results. Suinesiaputra, A. et al. Int J Cardiovasc Imaging. 2018 (https://dx.doi.org/10.1007%2Fs10554-017-1225-9). Expert research groups are performing CMR analysis with quality control and these will be available in the Returns Catalogue.	2015-09-21T00:00:00	2020-01-31T00:00:00	39695	40598	0	1	1	1
22424	Cardiac output	0	2	0	31	0	0	3	1	0	0	litres/min	133	0	2	2	3	0	0	Cardiac output	2015-09-21T00:00:00	2020-01-31T00:00:00	39695	40598	0	1	1	1
22425	Cardiac index	0	2	0	31	0	0	3	1	0	0	litres/min/m2	133	0	2	2	3	0	0	Cardiac index	2015-09-21T00:00:00	2020-01-31T00:00:00	39688	40591	0	1	1	1
22426	Average heart rate	0	2	0	11	0	0	0	1	0	0	bpm	133	0	2	2	3	0	0	Average heart rate	2015-09-21T00:00:00	2020-01-31T00:00:00	39695	40598	0	1	1	1
22427	Body surface area	0	2	0	31	0	0	0	1	0	0	m2	133	0	2	2	3	0	0	This body surface area of the participant is estimated using the formula: <br>BSA = 0.20247 * (weight^0.425) * (height^0.725) <p> The height and weight are entered manually by the device operator and it is possible they differ from the values recorded in ~F50~ and ~F21002~.	2015-09-21T00:00:00	2020-01-31T00:00:00	39688	40591	0	1	1	1
22430	Genotype intensities	0	0	0	11	0	30	0	0	0	0	blocks	100315	0	0	0	0	0	0	Genotype intensities. Obtained using <pre> gfetch 22430 -cN </pre> where N is the chromosome number. Add -m flag to obtain the participant mapping file.	2020-10-05T00:00:00	2020-10-22T00:00:00	488132	488132	0	2	1	2
22431	Genotype copy number variants, log2ratios	0	0	0	11	0	30	0	0	0	0	blocks	100315	0	0	0	0	0	0	Genotype copy number variants, log2r. Obtained using <pre> gfetch 22431 -cN </pre> where N is the chromosome number. Add -m flag to obtain the participant mapping file.	2020-10-05T00:00:00	2020-10-22T00:00:00	488132	488132	0	2	1	2
22432	Total abdominal adipose tissue index	0	2	0	31	0	0	3	1	0	0	L/m2	149	0	2	2	2	0	0	Total abdominal fat divided by height squared: (visceral adipose tissue (VAT) volume + abdominal subcutaneous adipose tissue (ASAT) volume) / (height squared). <p> Values were recalculated and replaced for approximately 25,000 participants in 2021.	2020-01-10T00:00:00	2022-11-11T00:00:00	40085	40085	0	1	1	1
22433	Weight-to-muscle ratio	0	2	0	31	0	0	3	1	0	0	kg/L	149	0	2	2	2	0	0	Body weight divided by total thigh muscle volume: Body weight / total thigh fat-free muscle volume (FFMV). <p> Values were recalculated and replaced for approximately 25,000 participants in 2021.	2020-01-10T00:00:00	2022-11-11T00:00:00	39436	39436	0	1	1	1
22434	Abdominal fat ratio	0	2	0	31	0	0	3	1	0	0	fraction	149	0	2	2	2	0	0	Total abdominal fat volume divided by total abdominal fat volume and thigh muscle volume: (visceral adipose tissue (VAT) volume + abdominal subcutaneous adipose tissue (ASAT) volume) / (visceral adipose tissue (VAT) volume + abdominal subcutaneous adipose tissue (ASAT) volume + total thigh fat-free muscle volume (FFMV)). <p> Values were recalculated and replaced for approximately 25,000 participants in 2021.	2020-01-10T00:00:00	2022-11-11T00:00:00	39400	39400	0	1	1	1
22435	Muscle fat infiltration	0	2	0	31	0	0	3	1	0	0	percent	149	0	2	2	2	0	0	Mean anterior thigh muscle fat infiltration. Anterior thigh includes quadriceps femoris, sartorius, and tensor fascia latae. Muscle fat infiltration is defined as the fat fraction in the 'viable muscle tissue' (fat-free muscle volume (FFMV)). <p> Values were recalculated and replaced for approximately 25,000 participants in 2021.	2020-01-10T00:00:00	2022-11-11T00:00:00	39368	39368	0	1	1	1
22436	10P Liver PDFF (proton density fat fraction)	0	2	0	31	0	0	3	1	0	0	percent	149	0	2	2	2	0	0	10-point symmetric chemical-shift encoded acquisition (10P) liver proton density fat fraction (PDFF) measured as the average PDFF in up to nine (and at least three) regions of interest (ROI) in the liver. These ROI avoid inhomogeneities, major vessels and bile ducts. These values were derived based on the gradient echo imaging protocol (~F20203~). This field replaces "Liver proton density fat fraction (AMRA)".	2020-01-10T00:00:00	2021-07-08T00:00:00	9891	9891	0	1	1	1
22437	Genotype copy number variants B-allele frequencies	0	0	0	11	0	30	0	0	0	0	blocks	100315	0	0	0	0	0	0	Genotype copy number variants, baf. Obtained using <pre> gfetch 22437 -cN </pre> where N is the chromosome number. Add -m flag to obtain the participant mapping file.	2020-10-05T00:00:00	2020-10-22T00:00:00	488132	488132	0	2	1	2
22438	Haplotypes (WTCHG)	0	0	0	11	0	30	0	0	0	0	blocks	100319	0	0	0	0	0	0	Haplotypes Obtained using <pre> gfetch 22438 -cN </pre> where N is the chromosome number. Add -m flag to obtain the participant mapping file. <p> Information derived by WTCHG, Oxford.	2020-10-05T00:00:00	2020-10-22T00:00:00	487164	487164	130	2	1	2
22499	Device used to enter occupational data	0	2	0	21	11	0	2	0	0	0		123	480	0	0	0	0	0	User asked: "Which description best describes the device you are currently using to complete this questionnaire?"	2015-07-22T00:00:00	2017-07-27T00:00:00	121248	121248	690	1	1	1
22500	When occupational data entered	0	2	0	51	0	0	0	0	0	0		123	0	0	0	0	0	0	This is the date that the participant completed entering their occupational history.	2015-07-22T00:00:00	2017-07-27T00:00:00	121248	121248	100	1	1	1
22501	Year ended full time education	0	2	0	11	0	0	0	0	0	0	calendar year	123	100306	0	0	0	0	0	Year ended full time education	2015-07-22T00:00:00	2017-07-27T00:00:00	121248	121248	120	1	1	1
22502	Cough on most days	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	Participant asked " Do you cough on most days?"	2015-07-22T00:00:00	2017-07-27T00:00:00	121248	121248	130	1	1	1
22503	Years of cough on most days	0	2	0	11	0	0	0	0	0	0	years	132	0	0	0	0	0	0	Participants who indicated they coughed on most days were asked:<br> "For how many years have you had this cough?"	2015-07-22T00:00:00	2017-07-27T00:00:00	16492	16492	150	1	1	1
22504	Bring up phlegm/sputum/mucus on most days	0	2	0	21	11	0	0	0	0	0		132	7	0	0	0	0	0	Participant asked "Do you bring up phlegm/sputum/mucus on most days?"	2015-07-22T00:00:00	2017-07-27T00:00:00	121248	121248	140	1	1	1
22505	Years of bringing up phlegm/sputum/mucus on most days	0	2	0	11	0	0	0	0	0	0	years	132	0	0	0	0	0	0	Participants who indicated they brought up phlegm/sputum/mucus on most days were asked: <br>"For how many years have you had this phlegm/sputum/mucus?	2015-07-22T00:00:00	2017-07-27T00:00:00	10478	10478	160	1	1	1
22506	Tobacco smoking	0	2	0	21	11	0	0	0	0	0		132	496	0	0	0	0	0	Participants asked "Do you smoke tobacco now?"	2015-07-22T00:00:00	2017-07-27T00:00:00	121248	121248	170	1	1	1
22507	Age of stopping smoking	0	2	0	11	0	0	0	0	0	0	years	132	0	0	0	0	0	0	Participants who had stopped smoking where asked:<br> "At what age did you give up?"	2015-07-22T00:00:00	2017-07-27T00:00:00	43998	43998	180	1	1	1
22508	Amount of tobacco currently smoked	0	2	0	11	0	0	0	0	0	0		132	946	0	0	0	0	0	Participants who indicated they currently smoked tobacco were asked: <br>"How much do you smoke?"	2015-07-22T00:00:00	2017-07-27T00:00:00	2870	2870	190	1	1	1
22599	Number of jobs held	0	2	0	11	0	0	3	0	0	0	jobs	130	0	0	0	0	0	0	This is the number of jobs described by each participant who completed the Occupational questionnaire.	2015-07-22T00:00:00	2016-09-12T00:00:00	118651	118651	110	1	1	1
22600	Job title	4	2	1	41	0	0	0	0	1	0		130	0	0	0	0	0	39	Job title as entered in free-text by participant.	2015-07-22T00:00:00	2019-02-06T00:00:00	120271	402554	180	1	1	1
22601	Job coding	0	2	0	21	11	0	0	0	1	0		130	497	0	0	0	0	39	Participants were asked to select a job group by navigating down a three-level tree. This field records the code they selected at the final level of the tree.	2015-07-22T00:00:00	2017-07-27T00:00:00	120271	402554	160	1	1	1
22602	Year job started	0	2	0	11	0	0	0	0	1	0	calendar year	130	0	0	0	0	0	39	Year job started	2015-07-22T00:00:00	2017-07-27T00:00:00	120271	402554	190	1	1	1
22603	Year job ended	0	2	0	11	0	0	0	0	1	0	calendar year	130	100698	0	0	0	0	39	Year job ended	2015-07-22T00:00:00	2017-07-27T00:00:00	120271	402554	200	1	1	1
22604	Work hours - lumped category	0	2	0	21	11	0	0	0	1	0		130	494	0	0	0	0	39	Participants were asked "On average, how many hours a week did you work?". They were able to select a lumped category or enter a precise number of hours. This field captures the results for participants who selected a lumped category.	2015-07-22T00:00:00	2017-07-27T00:00:00	99358	287474	210	1	1	1
22605	Work hours per week - exact value	0	2	0	31	0	0	0	0	1	0	hours/week	130	0	0	0	0	0	34	Participants were asked "On average, how many hours a week did you work?". They were able to select a lumped category or enter a precise number of hours. This field captures the results for participants who entered a precise number.	2015-07-22T00:00:00	2017-07-27T00:00:00	44317	115080	220	1	1	1
22606	Workplace very noisy	0	2	0	21	11	0	0	0	1	0		130	493	0	0	0	0	39	Participant asked "Thinking about the place where you worked: Was it very noisy?"<p>Participants were allowed to skip answering this question.	2015-07-22T00:00:00	2017-07-27T00:00:00	120059	400529	380	1	1	1
22607	Workplace very cold	0	2	0	21	11	0	0	0	1	0		130	493	0	0	0	0	39	Participant asked "Thinking about the place where you worked: Was it very cold?" <p>Participants were allowed to skip answering this question.	2015-07-23T00:00:00	2017-07-27T00:00:00	119926	399366	390	1	1	1
22608	Workplace very hot	0	2	0	21	11	0	0	0	1	0		130	493	0	0	0	0	39	Participant asked "Thinking about the place where you worked: Was it very hot?" <p>Participants were allowed to skip answering this question.	2015-07-23T00:00:00	2017-07-27T00:00:00	119943	399155	400	1	1	1
22609	Workplace very dusty	0	2	0	21	11	0	0	0	1	0		130	493	0	0	0	0	39	Participant asked "Thinking about the place where you worked: Was it very dusty?" <p>Participants were allowed to skip answering this question.	2015-07-23T00:00:00	2017-07-27T00:00:00	119874	398453	410	1	1	1
22610	Workplace full of chemical or other fumes	0	2	0	21	11	0	0	0	1	0		130	493	0	0	0	0	39	Participant asked "Thinking about the place where you worked: Was it full of chemical or other fumes?" <p>Participants were allowed to skip answering this question.	2015-07-23T00:00:00	2017-07-27T00:00:00	119887	398848	420	1	1	1
22611	Workplace had a lot of cigarette smoke from other people smoking	0	2	0	21	11	0	0	0	1	0		130	493	0	0	0	0	39	Participant asked "Thinking about the place where you worked: Was there a lot of cigarette smoke from other people smoking?" <p>Participants were allowed to skip answering this question.	2015-07-23T00:00:00	2017-07-27T00:00:00	119937	399012	430	1	1	1
22612	Worked with materials containing asbestos	0	2	0	21	11	0	0	0	1	0		130	493	0	0	0	0	39	Participant asked "Thinking about the place where you worked: Did you work with materials containing asbestos?" <p>Participants were allowed to skip answering this question.	2015-07-23T00:00:00	2017-07-27T00:00:00	119832	397919	440	1	1	1
22613	Worked with paints, thinners or glues	0	2	0	21	11	0	0	0	1	0		130	493	0	0	0	0	39	Participant asked "Thinking about the place where you worked: Did you work with paints, thinners or glues?" <p>Participants were allowed to skip answering this question.	2015-07-23T00:00:00	2017-07-27T00:00:00	119887	398570	450	1	1	1
22614	Worked with pesticides	0	2	0	21	11	0	0	0	1	0		130	493	0	0	0	0	39	Participant asked "Thinking about the place where you worked: Did you work with pesticides?" <p>Participants were allowed to skip answering this question.	2015-07-23T00:00:00	2017-07-27T00:00:00	119811	397523	460	1	1	1
22615	Workplace had a lot of diesel exhaust	0	2	0	21	11	0	0	0	1	0		130	493	0	0	0	0	39	Participant asked "Thinking about the place where you worked: Was there a lot of diesel exhaust?" <p>Participants were allowed to skip answering this question.	2015-07-23T00:00:00	2017-07-27T00:00:00	119790	396762	470	1	1	1
22616	Breathing problems during period of job	0	2	0	21	11	0	0	0	1	0		130	7	0	0	0	0	39	Particpant asked: "When you had this job, did you have problems with your breathing?"	2015-07-23T00:00:00	2017-07-27T00:00:00	120271	402554	480	1	1	1
22617	Job code - historical	0	2	0	21	11	0	3	0	1	0		130	2	0	0	0	0	39	Each self-coded job group was mapped to a 4-digit SOC2000 coding. In some cases several self-coded job groups map to the same SOC2000 coding as the input interface was designed to help untrained users classify their job according to the criteria/paths that would seem most natural to them. <p> It was not thought practical to ask participants to code their job to the more detailed levels of the SOC2000 coding.	2015-07-30T00:00:00	2017-07-27T00:00:00	120271	402554	170	1	1	1
22618	Breathing problems improved/stopped away from workplace or on holiday	0	2	0	21	11	0	0	0	1	0		130	7	0	0	0	0	34	Participants who indicated they had breathing problems during a job were asked: <br> "Did these problems improve or stop when you were away from the workplace or on holiday?" <p> Question only asked if participant has value Yes in ~F22616~	2015-07-23T00:00:00	2017-07-27T00:00:00	8907	15229	490	1	1	1
22619	Breathing problems responsible for leaving job	0	2	0	21	11	0	0	0	1	0		130	7	0	0	0	0	22	Participants who indicated they had breathing problems during a job were asked: <br> "Did you leave this job because of breathing problems?" <p>Question only asked if participant has value Yes in ~F22616~	2015-07-23T00:00:00	2017-07-27T00:00:00	7521	12762	500	1	1	1
22620	Job involved shift work	0	2	0	21	11	0	0	0	1	0		130	7	0	0	0	0	39	Participants were asked: "Did you ever work shifts (day and/or night shifts) for this job?" <p> Day-shifts were defined as work in nomal daytime hours or morning, afternoon or evening work. <p> Night-shifts were defined as work for at least 3 hours between midnight and 5am.	2015-07-24T00:00:00	2017-07-27T00:00:00	120271	402554	230	1	1	1
22630	Day shifts worked	0	2	0	21	11	0	0	0	1	0		130	489	0	0	0	0	32	Participants were asked: "Which shift pattern(s) did you follow for this job?" <br> Participants who indicated they worked day shifts were then asked: "Did you work day shifts for the whole of this job?" <p> Day-shifts were defined as work in nomal daytime hours or morning, afternoon or evening work.	2015-07-23T00:00:00	2017-07-27T00:00:00	34401	53921	240	1	1	1
22631	Period spent working day shifts	0	2	0	31	0	0	0	0	1	0	years	130	0	0	0	0	0	14	Participants who indicated they worked day shifts (but not for whole of job) were asked: "For how long did you work days shifts?"	2015-07-23T00:00:00	2017-07-27T00:00:00	2311	2458	250	1	1	1
22640	Mixture of day and night shifts worked	0	2	0	21	11	0	0	0	1	0		130	489	0	0	0	0	32	Participants were asked: "Which shift pattern(s) did you follow for this job?" <br> Participants who indicated they worked a mixture of day and night shifts were then asked: "Did you work a mixture of day and night shifts for the whole of this job?" <p> Day-shifts were defined as work in nomal daytime hours or morning, afternoon or evening work. <p> Night-shifts were defined as work for at least 3 hours between midnight and 5am.	2015-07-23T00:00:00	2017-07-27T00:00:00	34401	53921	260	1	1	1
22641	Period spent working mix of day and night shifts	0	2	0	31	0	0	0	0	1	0	years	130	488	0	0	0	0	13	Participants who indicated they worked a mix of day and night shifts (but not for whole of job) were asked: "For how long did you work a mixture of day and night shifts?"	2015-07-24T00:00:00	2017-07-27T00:00:00	12137	13291	270	1	1	1
22642	Usual length of each night shift during mixed shift periods	0	2	0	11	0	0	0	0	1	0	hours	130	0	0	0	0	0	19	Participants who worked a mix of day and night shifts were asked: <br> "Please tell us about the most common night shift pattern you had during this time: How many hours was each night shift usually?"	2015-07-24T00:00:00	2017-07-27T00:00:00	26658	37993	280	1	1	1
22643	Number of night shifts worked monthly during mixed shift periods	0	2	0	11	0	0	0	0	1	0	shifts	130	0	0	0	0	0	19	Participants who worked a mix of day and night shifts were asked: <br> "Please tell us about the most common night shift pattern you had during this time: How many night shifts a month did you usually work?"	2015-07-24T00:00:00	2017-07-27T00:00:00	26658	37993	290	1	1	1
22644	Consecutive night shifts during mixed shift periods	0	2	0	11	0	0	0	0	1	0	shifts	130	487	0	0	0	0	19	Participants who worked a mix of day and night shifts were asked: <br> "Please tell us about the most common night shift pattern you had during this time: How many night shifts in a row did you usually work before a change of shift or rest day?"	2015-07-24T00:00:00	2017-07-27T00:00:00	26658	37993	300	1	1	1
22645	Rest days during mixed shift periods	0	2	0	11	0	0	0	0	1	0	days	130	487	0	0	0	0	19	Participants who worked a mix of day and night shifts were asked: <br> "Please tell us about the most common night shift pattern you had during this time: How many rest days did you usually have after working a block of night shifts?"	2015-07-24T00:00:00	2017-07-27T00:00:00	23428	32507	310	1	1	1
22650	Night shifts worked	0	2	0	21	11	0	0	0	1	0		130	489	0	0	0	0	32	Participants were asked: "Which shift pattern(s) did you follow for this job?" <br>Participants who indicated they worked night shifts were then asked: "Did you work night shifts for the whole of this job?" <p> Night-shifts were defined as work for at least 3 hours between midnight and 5am.	2015-07-23T00:00:00	2017-07-27T00:00:00	34401	53921	320	1	1	1
22651	Period spent working night shifts	0	2	0	31	0	0	0	0	1	0		130	488	0	0	0	0	32	Participants who indicated they worked night shifts (but not for whole of job) were asked: "For how long did you work night shifts?"	2015-07-24T00:00:00	2017-07-27T00:00:00	1083	1144	330	1	1	1
22652	Usual length of each night shift during night shift periods	0	2	0	11	0	0	0	0	1	0	hours	130	0	0	0	0	0	32	Participants who worked night shifts were asked: <br> "Please tell us about the most common night shift pattern you had during this time: How many hours was each night shift usually?"	2015-07-24T00:00:00	2017-07-27T00:00:00	2821	3191	340	1	1	1
22653	Number of night shifts worked monthly during night shift periods	0	2	0	11	0	0	0	0	1	0	shifts	130	0	0	0	0	0	32	Participants who worked night shifts were asked: <br> "Please tell us about the most common night shift pattern you had during this time: How many night shifts a month did you usually work?"	2015-07-24T00:00:00	2017-07-27T00:00:00	2821	3191	350	1	1	1
22654	Consecutive night shifts during night shift periods	0	2	0	11	0	0	0	0	1	0	shifts	130	487	0	0	0	0	32	Participants who worked night shifts were asked: <br> "Please tell us about the most common night shift pattern you had during this time: How many night shifts in a row did you usually work before a change of shift or rest day?"	2015-07-24T00:00:00	2017-07-27T00:00:00	2821	3191	360	1	1	1
22655	Rest days during night shift periods	0	2	0	11	0	0	0	0	1	0	days	130	487	0	0	0	0	16	Participants who worked night shifts were asked: <br> "Please tell us about the most common night shift pattern you had during this time: How many rest days did you usually have after working a block of night shifts?"	2015-07-24T00:00:00	2017-07-27T00:00:00	2690	3043	370	1	1	1
22660	Gap coding	0	2	0	21	11	0	0	0	1	0		130	486	0	0	0	0	32	Participants were asked what they did in any periods when they were not working in paid employment for at least 20 hours each week. These periods were called "gaps".	2015-07-24T00:00:00	2017-07-27T00:00:00	95557	179286	120	1	1	1
22661	Number of gap periods	0	2	0	11	0	0	0	0	0	0		130	0	0	0	0	0	0	This is the number of distinct periods in which a participant was not working in paid employment for at least 20 hours each week.	2015-07-24T00:00:00	2016-09-12T00:00:00	118651	118651	100	1	1	1
22662	Title for other gap	0	2	0	41	0	0	0	0	1	0		130	0	0	0	0	0	18	Participants who answered "other" in ~F22660~ were allowed to enter a free-text description of what they had been doing.	2015-07-24T00:00:00	2017-07-27T00:00:00	6596	8390	130	1	1	1
22663	Year gap started	0	2	0	11	0	0	0	0	1	0	calendar year	130	0	0	0	0	0	32	Year gap started	2015-07-24T00:00:00	2017-07-27T00:00:00	95557	179286	140	1	1	1
22664	Year gap ended	0	2	0	11	0	0	0	0	1	0	calendar year	130	100698	0	0	0	0	32	Year gap ended	2015-07-24T00:00:00	2017-07-27T00:00:00	95557	179286	150	1	1	1
22670	Minimum carotid IMT (intima-medial thickness) at 120 degrees 	0	2	0	31	0	0	0	1	0	0	micrometres	101	909	2	2	3	0	0	Minimum carotid IMT at 120 degrees (on right side).	2015-09-30T00:00:00	2022-07-11T00:00:00	50416	55328	200	1	1	1
22671	Mean carotid IMT (intima-medial thickness) at 120 degrees 	0	2	0	31	0	0	0	1	0	0	micrometres	101	909	2	2	3	0	0	Mean carotid IMT at 120 degrees (on right side).	2015-09-30T00:00:00	2022-07-11T00:00:00	50416	55328	160	1	1	1
22672	Maximum carotid IMT (intima-medial thickness) at 120 degrees 	0	2	0	31	0	0	0	1	0	0	micrometres	101	909	2	2	3	0	0	Maximum carotid IMT at 120 degrees (on right side).	2015-09-30T00:00:00	2022-07-11T00:00:00	50416	55328	120	1	1	1
22673	Minimum carotid IMT (intima-medial thickness) at 150 degrees 	0	2	0	31	0	0	0	1	0	0	micrometres	101	909	2	2	3	0	0	Minimum carotid IMT at 150 degrees (on right side).	2015-09-30T00:00:00	2022-07-11T00:00:00	50612	55556	210	1	1	1
22674	Mean carotid IMT (intima-medial thickness) at 150 degrees 	0	2	0	31	0	0	0	1	0	0	micrometres	101	909	2	2	3	0	0	Mean carotid IMT at 150 degrees (on right side).	2015-09-30T00:00:00	2022-07-11T00:00:00	50612	55556	170	1	1	1
22675	Maximum carotid IMT (intima-medial thickness) at 150 degrees 	0	2	0	31	0	0	0	1	0	0	micrometres	101	909	2	2	3	0	0	Maximum carotid IMT at 150 degrees (on right side).	2015-09-30T00:00:00	2022-07-11T00:00:00	50612	55556	130	1	1	1
22676	Minimum carotid IMT (intima-medial thickness) at 210 degrees 	0	2	0	31	0	0	0	1	0	0	micrometres	101	909	2	2	3	0	0	Minimum carotid IMT at 210 degrees (on left side).	2015-09-30T00:00:00	2022-07-11T00:00:00	50531	55476	220	1	1	1
22677	Mean carotid IMT (intima-medial thickness) at 210 degrees 	0	2	0	31	0	0	0	1	0	0	micrometres	101	909	2	2	3	0	0	Mean carotid IMT at 210 degrees (on left side).	2015-09-30T00:00:00	2022-07-11T00:00:00	50531	55476	180	1	1	1
22678	Maximum carotid IMT (intima-medial thickness) at 210 degrees 	0	2	0	31	0	0	0	1	0	0	micrometres	101	909	2	2	3	0	0	Maximum carotid IMT at 210 degrees (on left side).	2015-09-30T00:00:00	2022-07-11T00:00:00	50531	55476	140	1	1	1
22679	Minimum carotid IMT (intima-medial thickness) at 240 degrees 	0	2	0	31	0	0	0	1	0	0	micrometres	101	909	2	2	3	0	0	Minimum carotid IMT at 240 degrees (on left side).	2015-09-30T00:00:00	2022-07-11T00:00:00	50196	55101	230	1	1	1
22680	Mean carotid IMT (intima-medial thickness) at 240 degrees 	0	2	0	31	0	0	0	1	0	0	micrometres	101	909	2	2	3	0	0	Mean carotid IMT at 240 degrees (on left side).	2015-09-30T00:00:00	2022-07-11T00:00:00	50196	55101	190	1	1	1
22681	Maximum carotid IMT (intima-medial thickness) at 240 degrees 	0	2	0	31	0	0	0	1	0	0	micrometres	101	909	2	2	3	0	0	Maximum carotid IMT at 240 degrees (on left side).	2015-09-30T00:00:00	2022-07-11T00:00:00	50196	55101	150	1	1	1
22682	Quality control indicator for IMT at 120 degrees	0	2	0	21	11	0	3	1	0	0		101	55	2	0	0	0	0	Quality control indicator for IMT at 120 degrees	2015-10-15T00:00:00	2015-10-27T00:00:00	2577	2577	240	1	1	1
22683	Quality control indicator for IMT at 150 degrees	0	2	0	21	11	0	3	1	0	0		101	55	2	0	0	0	0	Quality control indicator for IMT at 150 degrees	2015-10-15T00:00:00	2015-10-27T00:00:00	2577	2577	250	1	1	1
22684	Quality control indicator for IMT at 210 degrees	0	2	0	21	11	0	3	1	0	0		101	55	2	0	0	0	0	Quality control indicator for IMT at 210 degrees	2015-10-15T00:00:00	2015-10-27T00:00:00	2577	2577	260	1	1	1
22685	Quality control indicator for IMT at 240 degrees	0	2	0	21	11	0	3	1	0	0		101	55	2	0	0	0	0	Quality control indicator for IMT at 240 degrees	2015-10-15T00:00:00	2015-10-27T00:00:00	2577	2577	270	1	1	1
22686	Home location at assessment - east co-ordinate (100m resolution)	0	3	1	11	0	0	3	1	0	0	metre-grid	100024	0	2	0	3	0	0	This location information is based on the address where the participant lived at the time of their assessment. <p> The location co-ordinates use the Ordnance Survey (OSGB) reference. This East co-ordinate needs to be used in conjunction with the North co-ordinate in ~F22687~. <p> This field supersedes ~F20033~. The data for the baseline assessment (instance 0) has been updated to use more accurate geocoding data where available, based on the full address instead of the postcode alone. <p> Further updates are planned, in particular for the later instances. <p> These grid co-ordinates (to a 100m accuracy) will only be released following special approval. If access is approved, researchers will be required to hold these data-fields separately from their main project (a new set of encoded ids will be supplied) while they derive their required measures, which will then be made available to their main project only after these fields have been deleted. <p> For most purposes, grid co-ordinates rounded to a 1km accuracy will provide sufficient information on location of residence at assessment. These rounded values are found in ~F22688~ and ~F22689~.	2022-10-24T00:00:00	2023-03-07T00:00:00	502159	556491	140	1	1	1
22687	Home location at assessment - north co-ordinate (100m resolution)	0	3	1	11	0	0	3	1	0	0	metre-grid	100024	0	2	0	3	0	0	This location information is based on the address where the participant lived at the time of their assessment. <p> The location co-ordinates use the Ordnance Survey (OSGB) reference. This North co-ordinate needs to be used in conjunction with the East co-ordinate in ~F22686~. <p> This field supersedes ~F20034~. The data for the baseline assessment (instance 0) has been updated to use more accurate geocoding data where available, based on the full address instead of the postcode alone. <p> Further updates are planned, in particular for the later instances. <p> These grid co-ordinates (to a 100m accuracy) will only be released following special approval. If access is approved, researchers will be required to hold these data-fields separately from their main project (a new set of encoded ids will be supplied) while they derive their required measures, which will then be made available to their main project only after these fields have been deleted. <p> For most purposes, grid co-ordinates rounded to a 1km accuracy will provide sufficient information on location of residence at assessment. These rounded values are found in ~F22688~ and ~F22689~.	2022-10-24T00:00:00	2023-03-07T00:00:00	502159	556491	160	1	1	1
22688	Home location at assessment - east co-ordinate (1km resolution)	0	3	1	11	0	0	3	1	0	0	metre-grid	100024	0	2	0	3	0	0	This location information is based on the address where the participant lived at the time of their assessment. <p> The location co-ordinates use the Ordnance Survey (OSGB) reference. This East co-ordinate needs to be used in conjunction with the North co-ordinate in ~F22689~. <p> This field supersedes ~F20074~. The data for the baseline assessment (instance 0) has been updated to use more accurate geocoding data where available, based on the full address instead of the postcode alone. The data for all assessments has been corrected to use truncation (rounding down) instead of rounding, to derive the 1km resolution data. <p> Further updates are planned, in particular for the later instances, but minor amendments should also be expected to the baseline (instance 0) data as we hope to obtain additional geocodings in future. <p> These grid co-ordinates (to a 1km accuracy) will only be released following special approval. <p> For most purposes, these grid co-ordinates rounded to a 1km accuracy will provide sufficient information on location of residence at assessment. If a higher level of granularity is required, values are also available at a 100m resolution, which can be found in ~F22686~ and ~F22687~.	2022-10-24T00:00:00	2023-03-07T00:00:00	502159	556491	150	1	1	1
22689	Home location at assessment - north co-ordinate (1km resolution)	0	3	1	11	0	0	3	1	0	0	metre-grid	100024	0	2	0	3	0	0	This location information is based on the address where the participant lived at the time of their assessment. <p> The location co-ordinates use the Ordnance Survey (OSGB) reference. This North co-ordinate needs to be used in conjunction with the East co-ordinate in ~F22688~. <p> This field supersedes ~F20075~. The data for the baseline assessment (instance 0) has been updated to use more accurate geocoding data where available, based on the full address instead of the postcode alone. The data for all assessments has been corrected to use truncation (rounding down) instead of rounding, to derive the 1km resolution data. <p> Further updates are planned, in particular for the later instances, but minor amendments should also be expected to the baseline (instance 0) data as we hope to obtain additional geocodings in future. <p> These grid co-ordinates (to a 1km accuracy) will only be released following special approval. <p> For most purposes, these grid co-ordinates rounded to a 1km accuracy will provide sufficient information on location of residence at assessment. If a higher level of granularity is required, values are also available at a 100m resolution, which can be found in ~F22686~ and ~F22687~.	2022-10-24T00:00:00	2023-03-07T00:00:00	502159	556491	170	1	1	1
22700	Date first recorded at location	0	3	0	51	0	0	0	0	1	0		150	1313	0	0	0	0	14	This the date at which a participant is first recorded (according to the record sources available to UK Biobank) at the location given in ~F22702~ and ~F22704~ (or the more precise, but restricted, ~F22701~ and ~F22703~). <p> Note that, when data is supplied to approved researchers, the array index of dates will not necessarily be in the same order as the dates themselves as UK Biobank does not itself receive location data in chronological order. <p> Please be aware that there are some inherent inaccuracies in the date of a change of address as it will often correspond to the date the address was changed in the corresponding IT system, rather than the actual address change, due to delays in participants informing UK Biobank or external agencies that they have moved. In addition, we have identified a number of dates that have been incorrectly processed in the construction of data-field 22700 and which are up to 30 months different from the participant's change of address notification. We are working to correct this issue and will update the data-field in due course.	2017-01-06T00:00:00	2020-03-13T00:00:00	502358	774645	0	1	1	1
22701	Home location - east co-ordinate (100m resolution)	0	3	1	11	0	0	0	0	1	0	metre-grid	150	0	0	0	0	0	14	This location information is based on the postcode for an address at which the participant is believed to have been resident, derived from a number of sources. <p> The location co-ordinates use the Ordnance Survey (OSGB) reference. This East co-ordinate needs to be used in conjunction with the North co-ordinate in ~F22703~. <p> These grid co-ordinates (to a 100m accuracy) will only be released following special approval. For most purposes, grid co-ordinates rounded to a 1Km distance will provide sufficient information on location of residence at assessment. These rounded values are found in ~F22702~ and ~F22704~.	2017-01-06T00:00:00	2017-01-11T00:00:00	502358	774645	0	1	1	1
22702	Home location - east co-ordinate (1km resolution)	0	3	1	11	0	0	0	0	1	0	metre-grid	150	0	0	0	0	0	14	This location information is based on the postcode for an address at which the participant is believed to have been resident, derived from a number of sources. <p> The location co-ordinates use the Ordnance Survey (OSGB) reference, rounded to the nearest Kilometre. This East co-ordinate needs to be used in conjunction with the North co-ordinate in ~F22704~. <p> For most purposes, grid co-ordinates rounded to a 1Km distance will provide sufficient information on location of residence at assessment. Research proposals that require location details to a finer level of granularity (i.e. 100m) should request ~F22701~ and ~F22703~, however special approval will be required to release the more detailed information. <p> In some cases participants will appear to be at the same location at consecutive times. This occurs because there is a difference of under 1Km in the distance between two consecutive locations according to the more granular data.	2017-01-06T00:00:00	2017-01-11T00:00:00	502358	774645	0	1	1	1
22703	Home location - north co-ordinate (100m resolution)	0	3	1	11	0	0	0	0	1	0	metre-grid	150	0	0	0	0	0	14	This location information is based on the postcode for an address at which the participant is believed to have been resident, derived from a number of sources. <p> The location co-ordinates use the Ordnance Survey (OSGB) reference. This North co-ordinate needs to be used in conjunction with the East co-ordinate in ~F22701~. <p> These grid co-ordinates (to a 100m accuracy) will only be released following special approval. For most purposes, grid co-ordinates rounded to a 1Km distance will provide sufficient information on location of residence at assessment. These rounded values are found in ~F22702~ and ~F22704~.	2017-01-06T00:00:00	2017-01-11T00:00:00	502358	774645	0	1	1	1
22704	Home location - north co-ordinate (1km resolution)	0	3	1	11	0	0	0	0	1	0	metre-grid	150	0	0	0	0	0	14	This location information is based on the postcode for an address at which the participant is believed to have been resident, derived from a number of sources. <p> The location co-ordinates use the Ordnance Survey (OSGB) reference, rounded to the nearest Kilometre. This North co-ordinate needs to be used in conjunction with the East co-ordinate in ~F22702~. <p> For most purposes, grid co-ordinates rounded to a 1Km distance will provide sufficient information on location of residence at assessment. Research proposals that require location details to a finer level of granularity (i.e. 100m) should request ~F22701~ and ~F22703~, however special approval will be required to release the more detailed information. <p> In some cases participants will appear to be at the same location at consecutive times. This occurs because there is a difference of under 1Km in the distance between two consecutive locations according to the more granular data.	2017-01-06T00:00:00	2017-01-11T00:00:00	502358	774645	0	1	1	1
22800	Chromosome XY imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome XY imputation results	2017-04-18T00:00:00	2017-11-30T00:00:00	486199	486199	380	2	1	2
22801	Chromosome 1 imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 1 imputation results.	2014-08-26T00:00:00	2017-07-21T00:00:00	487164	487164	140	2	1	2
22802	Chromosome 2 imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 2 imputation results.	2014-08-26T00:00:00	2017-07-21T00:00:00	487164	487164	150	2	1	2
22803	Chromosome 3 imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 3 imputation results.	2014-08-26T00:00:00	2017-07-21T00:00:00	487164	487164	160	2	1	2
22804	Chromosome 4 imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 4 imputation results.	2014-08-26T00:00:00	2017-07-21T00:00:00	487164	487164	170	2	1	2
22805	Chromosome 5 imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 5 imputation results.	2014-08-26T00:00:00	2017-07-21T00:00:00	487164	487164	180	2	1	2
22806	Chromosome 6 imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 6 imputation results.	2014-08-26T00:00:00	2017-07-21T00:00:00	487164	487164	190	2	1	2
22807	Chromosome 7 imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 7 imputation results.	2014-08-26T00:00:00	2017-07-21T00:00:00	487164	487164	200	2	1	2
22808	Chromosome 8 imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 8 imputation results.	2014-08-26T00:00:00	2017-07-21T00:00:00	487164	487164	210	2	1	2
22809	Chromosome 9 imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 9 imputation results.	2014-08-26T00:00:00	2017-07-21T00:00:00	487164	487164	220	2	1	2
22810	Chromosome 10 imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 10 imputation results.	2014-08-26T00:00:00	2017-07-21T00:00:00	487164	487164	230	2	1	2
22811	Chromosome 11 imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 11 imputation results.	2014-08-26T00:00:00	2017-07-21T00:00:00	487164	487164	240	2	1	2
22812	Chromosome 12 imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 12 imputation results.	2014-08-26T00:00:00	2017-07-21T00:00:00	487164	487164	250	2	1	2
22813	Chromosome 13 imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 13 imputation results.	2014-08-26T00:00:00	2017-07-21T00:00:00	487164	487164	260	2	1	2
22814	Chromosome 14 imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 14 imputation results.	2014-08-26T00:00:00	2017-07-21T00:00:00	487164	487164	270	2	1	2
22815	Chromosome 15 imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 15 imputation results.	2014-08-26T00:00:00	2017-07-21T00:00:00	487164	487164	280	2	1	2
22816	Chromosome 16 imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 16 imputation results.	2014-08-26T00:00:00	2017-07-21T00:00:00	487164	487164	290	2	1	2
22817	Chromosome 17 imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 17 imputation results.	2014-08-26T00:00:00	2017-07-21T00:00:00	487164	487164	300	2	1	2
22818	Chromosome 18 imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 18 imputation results.	2014-08-26T00:00:00	2017-07-21T00:00:00	487164	487164	310	2	1	2
22819	Chromosome 19 imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 19 imputation results.	2014-08-26T00:00:00	2017-07-21T00:00:00	487164	487164	320	2	1	2
22820	Chromosome 20 imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 20 imputation results.	2014-08-26T00:00:00	2017-07-21T00:00:00	487164	487164	330	2	1	2
22821	Chromosome 21 imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 21 imputation results.	2014-08-26T00:00:00	2017-07-21T00:00:00	487164	487164	340	2	1	2
22822	Chromosome 22 imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome 22 imputation results.	2014-08-26T00:00:00	2017-07-21T00:00:00	487164	487164	350	2	1	2
22823	Chromosome X imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome X imputation results.	2014-08-26T00:00:00	2017-11-30T00:00:00	486513	486513	360	2	1	2
22824	Chromosome Y imputation and haplotype results	4	1	0	41	0	20	3	0	0	0		100319	0	0	0	0	0	0	Chromosome Y imputation results.	2014-08-26T00:00:00	2000-01-01T00:00:00	152724	152724	370	2	1	2
22825	Mitochondrial imputation and haplotype results	4	2	0	41	0	20	0	0	0	0		100319	0	0	0	0	0	0	Mitochondrial imputation results.	2014-08-26T00:00:00	2000-01-01T00:00:00	152724	152724	390	2	1	2
22828	Imputation from genotype (WTCHG)	0	0	0	11	0	30	3	0	0	0	blocks	100319	0	0	0	0	0	0	UKB imputation from genotype. Obtained using <pre> gfetch 22828 -cN </pre> where N is the chromosome number. Add -m flag to obtain the participant mapping file.<p> Information derived by WTCHG, Oxford.	2020-09-28T00:00:00	2020-10-22T00:00:00	487164	487164	100	2	1	2
23000	1gG antigen for Herpes Simplex virus-1	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of 1gG antigen for HSV-1 (Herpes Simplex virus-1).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23001	2mgG unique antigen for Herpes Simplex virus-2	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of 2mgG unique antigen for HSV-2 (Herpes Simplex virus-2).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23002	gE / gI antigen for Varicella Zoster Virus 	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of gE / gI antigen for VZV (Varicella Zoster Virus ).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23003	VCA p18 antigen for Epstein-Barr Virus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of VCA p18 antigen for EBV (Epstein-Barr Virus).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23004	EBNA-1 antigen for Epstein-Barr Virus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of EBNA-1 antigen for EBV (Epstein-Barr Virus).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23005	ZEBRA antigen for Epstein-Barr Virus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of ZEBRA antigen for EBV (Epstein-Barr Virus).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23006	EA-D antigen for Epstein-Barr Virus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of EA-D antigen for EBV (Epstein-Barr Virus).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23007	pp150 Nter antigen for Human Cytomegalovirus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of pp150 Nter antigen for CMV (Human Cytomegalovirus).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23008	pp 52 antigen for Human Cytomegalovirus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of pp 52 antigen for CMV (Human Cytomegalovirus).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23009	pp 28 antigen for Human Cytomegalovirus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of pp 28 antigen for CMV (Human Cytomegalovirus).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23010	IE1A antigen for Human Herpesvirus-6	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of IE1A antigen for HHV-6 (Human Herpesvirus-6).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23011	IE1B antigen for Human Herpesvirus-6	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of IE1B antigen for HHV-6 (Human Herpesvirus-6).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23012	p101 k antigen for Human Herpesvirus-6	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of p101 k antigen for HHV-6 (Human Herpesvirus-6).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23013	U14 antigen for Human Herpesvirus-7	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of U14 antigen for HHV-7 (Human Herpesvirus-7).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23014	LANA antigen for Kaposi's Sarcoma-Associated Herpesvirus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of LANA antigen for KSHV (Kaposi's Sarcoma-Associated Herpesvirus).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23015	K8.1 antigen for Kaposi's Sarcoma-Associated Herpesvirus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of K8.1 antigen for KSHV (Kaposi's Sarcoma-Associated Herpesvirus).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23016	HBc antigen for Hepatitis B Virus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of HBc antigen for HBV (Hepatitis B Virus).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23017	HBe antigen for Hepatitis B Virus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of HBe antigen for HBV (Hepatitis B Virus).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23018	Core antigen for Hepatitis C Virus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of Core antigen for HCV (Hepatitis C Virus).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23019	NS3 antigen for Hepatitis C Virus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of NS3 antigen for HCV (Hepatitis C Virus).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23020	p22 antigen for Toxoplasma gondii	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of p22 antigen for T. gondii (Toxoplasma gondii).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23021	sag1 antigen for Toxoplasma gondii	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of sag1 antigen for T. gondii (Toxoplasma gondii).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23022	HTLV-1 gag antigen for Human T-Lymphotropic Virus 1	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of HTLV-1 gag antigen for HTLV-1 (Human T-Lymphotropic Virus 1).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23023	HTLV-1 env antigen for Human T-Lymphotropic Virus 1	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of HTLV-1 env antigen for HTLV-1 (Human T-Lymphotropic Virus 1).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23024	HIV-1 gag antigen for Human Immunodeficiency Virus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of HIV-1 gag antigen for HIV-1 (Human Immunodeficiency Virus).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23025	HIV-1 env antigen for Human Immunodeficiency Virus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of HIV-1 env antigen for HIV-1 (Human Immunodeficiency Virus).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23026	BK VP1 antigen for Human Polyomavirus BKV	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of BK VP1 antigen for BKV (Human Polyomavirus BKV).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23027	JC VP1 antigen for Human Polyomavirus JCV	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of JC VP1 antigen for JCV (Human Polyomavirus JCV).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23028	MC VP1 antigen for Merkel Cell Polyomavirus	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of MC VP1 antigen for MCV (Merkel Cell Polyomavirus).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23029	L1 antigen for Human Papillomavirus type-16	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of L1 antigen for HPV 16 (Human Papillomavirus type-16).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23030	E6 antigen for Human Papillomavirus type-16	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of E6 antigen for HPV 16 (Human Papillomavirus type-16).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23031	E7 antigen for Human Papillomavirus type-16	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of E7 antigen for HPV 16 (Human Papillomavirus type-16).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23032	L1 antigen for Human Papillomavirus type-18	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of L1 antigen for HPV 18 (Human Papillomavirus type-18).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23033	momp D antigen for Chlamydia trachomatis	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of momp D antigen for C. trachomatis (Chlamydia trachomatis).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23034	momp A antigen for Chlamydia trachomatis	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of momp A antigen for C. trachomatis (Chlamydia trachomatis).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23035	tarp-D F1 antigen for Chlamydia trachomatis	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of tarp-D F1 antigen for C. trachomatis (Chlamydia trachomatis).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23036	tarp-D F2 antigen for Chlamydia trachomatis	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of tarp-D F2 antigen for C. trachomatis (Chlamydia trachomatis).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23037	PorB antigen for Chlamydia trachomatis	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of PorB antigen for C. trachomatis (Chlamydia trachomatis).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23038	pGP3 antigen for Chlamydia trachomatis	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of pGP3 antigen for C. trachomatis (Chlamydia trachomatis).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23039	CagA antigen for Helicobacter pylori	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of CagA antigen for H. pylori (Helicobacter pylori).	2018-06-01T00:00:00	2018-06-07T00:00:00	4897	5074	0	2	1	2
23040	VacA antigen for Helicobacter pylori	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of VacA antigen for H. pylori (Helicobacter pylori).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23041	OMP antigen for Helicobacter pylori	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of OMP antigen for H. pylori (Helicobacter pylori).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23042	GroEL antigen for Helicobacter pylori	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of GroEL antigen for H. pylori (Helicobacter pylori).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23043	Catalase antigen for Helicobacter pylori	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of Catalase antigen for H. pylori (Helicobacter pylori).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23044	UreA antigen for Helicobacter pylori	0	2	0	11	0	0	0	1	0	0		1307	0	2	0	1	0	0	Measured level of UreA antigen for H. pylori (Helicobacter pylori).	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23045	Very nervous mood over last week	0	0	0	21	11	0	0	0	1	0		155	5159	0	0	0	0	3	Participants were asked:<p> "Over the past week have you: Been very nervous?"	2020-01-27T00:00:00	2020-01-28T00:00:00	120768	122625	100	1	1	1
23046	Down in dumps over last week	0	0	0	21	11	0	0	0	1	0		155	5159	0	0	0	0	3	Participants were asked: <p> "Over the past week have you: Felt so down in the dumps that nothing could cheer you up?"	2020-01-27T00:00:00	2020-01-28T00:00:00	120768	122625	110	1	1	1
23047	Felt calm over last week	0	0	0	21	11	0	0	0	1	0		155	5159	0	0	0	0	3	Participants were asked: <p> "Over the past week have you: Felt calm and peaceful?"	2020-01-27T00:00:00	2020-01-28T00:00:00	120768	122625	120	1	1	1
23048	Antigen assay date	0	2	0	51	0	0	2	1	0	0		1307	0	2	0	1	0	0	Data that antigen assay was conducted.	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	0	2	1	2
23049	Antigen assay QC indicator	0	2	0	21	11	0	2	1	0	0		1307	7618	2	0	1	0	0	Quality control indicator for antigen assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	1584	1603	0	2	1	2
23050	HSV-1 seropositivity for Herpes Simplex virus-1	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HSV-1 seropositivity for Herpes Simplex virus-1 <p>Defined as positive if: antigen 1gG > 150.<br>	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	100	2	1	2
23051	HSV-2 seropositivity for Herpes Simplex virus-2	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HSV-2 seropositivity for Herpes Simplex virus-2 <p>Defined as positive if: antigen 2mgG unique > 150.<br>	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	110	2	1	2
23052	VZV seropositivity for Varicella Zoster Virus 	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	VZV seropositivity for Varicella Zoster Virus <p>Defined as positive if: antigen gE / gl > 100.<br>	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	120	2	1	2
23053	EBV seropositivity for Epstein-Barr Virus	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	EBV seropositivity for Epstein-Barr Virus <p>Defined as positive if: two or more of antigen VCA p18 > 250, antigen EBNA-1 > 250, antigen ZEBRA > 100, antigen EA-D > 100.<br>	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	130	2	1	2
23054	CMV seropositivity for Human Cytomegalovirus	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	CMV seropositivity for Human Cytomegalovirus <p>Defined as positive if: two or more of antigen pp150 Nter > 100, antigen pp 52 > 150, antigen pp 28 > 200.<br>	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	140	2	1	2
23055	HHV-6 overall seropositivity for Human Herpesvirus-6	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HHV-6 overall seropositivity for Human Herpesvirus-6 <p>Defined as positive if: one or more of antigen IE1A > 100, antigen IE1B > 100, antigen p101 k > 100.<br>	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	150	2	1	2
23056	HHV-6A seropositivity for Human Herpesvirus-6	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HHV-6A seropositivity for Human Herpesvirus-6 <p>Defined as positive if: antigen IE1A > 100.<br>	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	160	2	1	2
23057	HHV-6B seropositivity for Human Herpesvirus-6	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HHV-6B seropositivity for Human Herpesvirus-6 <p>Defined as positive if: antigen IE1B > 100.<br>	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	170	2	1	2
23058	HHV-7 seropositivity for Human Herpesvirus-7	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HHV-7 seropositivity for Human Herpesvirus-7 <p>Defined as positive if: antigen U14 > 100.<br>	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	180	2	1	2
23059	KSHV seropositivity for Kaposi's Sarcoma-Associated Herpesvirus	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	KSHV seropositivity for Kaposi's Sarcoma-Associated Herpesvirus <p>Defined as positive if: either antigen LANA > 100 or antigen K8.1 > 175.<br>	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	190	2	1	2
23060	HBV seropositivity for Hepatitis B Virus	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HBV seropositivity for Hepatitis B Virus <p>Defined as positive if: both antigen HBc > 100 and antigen HBe > 150.<br>	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	200	2	1	2
23061	HCV seropositivity for Hepatitis C Virus	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HCV seropositivity for Hepatitis C Virus <p>Defined as positive if: both antigen Core > 150 and antigen NS3 > 150.<br>	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	210	2	1	2
23062	T. gondii seropositivity for Toxoplasma gondii	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	T. gondii seropositivity for Toxoplasma gondii <p>Defined as positive if: either antigen p22 > 100 or antigen sag1 > 160.<br>	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	220	2	1	2
23063	HTLV-1 seropositivity for Human T-Lymphotropic Virus 1	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HTLV-1 seropositivity for Human T-Lymphotropic Virus 1 <p>Defined as positive if: either antigen HTLV-1 gag > 1500 or antigen HTLV-1 env > 150.<br>	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	230	2	1	2
23064	HIV-1 seropositivity for Human Immunodeficiency Virus	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HIV-1 seropositivity for Human Immunodeficiency Virus <p>Defined as positive if: both antigen HIV-1 gag > 600 and antigen HIV-1 env > 150.<br>	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	240	2	1	2
23065	BKV seropositivity for Human Polyomavirus BKV	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	BKV seropositivity for Human Polyomavirus BKV <p>Defined as positive if: antigen BK VP1 > 250.<br>	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	250	2	1	2
23066	JCV seropositivity for Human Polyomavirus JCV	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	JCV seropositivity for Human Polyomavirus JCV <p>Defined as positive if: antigen JC VP1 > 250.<br>	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	260	2	1	2
23067	MCV seropositivity for Merkel Cell Polyomavirus	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	MCV seropositivity for Merkel Cell Polyomavirus <p>Defined as positive if: antigen MC VP1 > 250.<br>	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	270	2	1	2
23068	HPV 16 Definition I seropositivity for Human Papillomavirus type-16	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HPV 16 Definition I seropositivity for Human Papillomavirus type-16 <p>Defined as positive if: antigen L1 > 175.<br>	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	280	2	1	2
23069	HPV 18 seropositivity for Human Papillomavirus type-18	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HPV 18 seropositivity for Human Papillomavirus type-18 <p>Defined as positive if: antigen L1 > 175.<br>	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	300	2	1	2
23070	C. trachomatis Definition I seropositivity for Chlamydia trachomatis	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	C. trachomatis Definition I seropositivity for Chlamydia trachomatis <p>Defined as positive if: antigen pGP3 > 200.<br>	2018-06-01T00:00:00	2019-02-27T00:00:00	9689	9966	310	2	1	2
23071	C. trachomatis Definition II seropositivity for Chlamydia trachomatis	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	C. trachomatis Definition II seropositivity for Chlamydia trachomatis <p>Defined as positive if: two or more of (the maximum of antigen momp A and antigen momp D) > 100, tarp-D F1 > 100, tarp-D F2 > 100, porB > 80. <br> <p>Data is only provided for this field in cases where the participant is seronegative under Definition I in ~F23070~, which should used be used as the main definition for seropositivity for Chlamydia trachomatis.<br>	2018-06-01T00:00:00	2019-02-27T00:00:00	7618	7849	320	2	1	2
23072	Downhearted and depressed over last week	0	0	0	21	11	0	0	0	1	0		155	5159	0	0	0	0	3	Participants were asked: <p> "Over the past week have you: Felt downhearted and depressed?"	2020-01-27T00:00:00	2020-01-28T00:00:00	120768	122625	130	1	1	1
23073	H. pylori Definition I seropositivity for Helicobacter pylori	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	H. pylori Definition I seropositivity for Helicobacter pylori <p>Defined as positive if: two or more of antigen CagA > 400, antigen VacA > 100, antigen OMP > 170, antigen GroEL > 80, antigen Catalase > 180, antigen UreA > 130.<br>	2018-06-01T00:00:00	2018-06-07T00:00:00	4897	5074	330	2	1	2
23074	H. pylori Definition II seropositivity for Helicobacter pylori	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	H. pylori Definition II seropositivity for Helicobacter pylori <p>Defined as positive if: two or more of antigen VacA > 100, antigen OMP > 170, antigen GroEL > 80, antigen Catalase > 180, antigen UreA > 130.<br> <p> The CagA antigen was excluded from the data generated in the 2nd week because of a lab-based handling mistake. Hence, this second definition is available without the CagA antigen. <br>	2018-06-01T00:00:00	2018-06-07T00:00:00	9689	9966	340	2	1	2
23075	HPV 16 Definition II seropositivity for Human Papillomavirus type-16	0	2	0	21	11	0	3	1	0	0		51428	12	2	0	1	0	0	HPV 16 Definition II seropositivity for Human Papillomavirus type-16 <p>Defined as positive if: either antigen E6 > 120 or antigen E7 > 150.<br>	2019-01-21T00:00:00	2019-02-27T00:00:00	9689	9966	290	2	1	2
23076	Happy over last week	0	0	0	21	11	0	0	0	1	0		155	5159	0	0	0	0	3	Participants were asked: <p> "Over the past week have you: Been happy?"	2020-01-27T00:00:00	2020-01-28T00:00:00	120768	122625	140	1	1	1
23077	Device used for typing	0	0	0	21	11	0	0	0	1	0		116	5160	0	0	0	0	4	Participants were asked: <p> "How are you typing characters into the computer?" <p> This was done because the device characteristics may have an affect on the speed of their subsequent actions in the cognitive tests.	2020-01-27T00:00:00	2020-01-28T00:00:00	125458	131225	0	1	1	1
23078	Device used for pointing	0	0	0	21	11	0	0	0	1	0		116	5178	0	0	0	0	4	Participants were asked: <p> "What are you using to point on the screen?" <p> This was done because the device characteristics may have an affect on the speed of their subsequent actions in the cognitive tests.	2020-01-27T00:00:00	2020-01-28T00:00:00	125458	131225	0	1	1	1
23079	When mood described	0	0	0	61	0	0	0	0	1	0		155	0	0	0	0	0	4	Indicates the time that a participant connected to the online questionnaire system and described their mood over the last week prior to completing the cognitive questionnaire. Note that participants could complete the section of the cognitive questionnaire over multiple sessions so some people have multiple values for this field which must be linked to the individual sections by examing their timestamps.	2020-01-28T00:00:00	2020-01-31T00:00:00	125458	131225	0	1	1	1
23080	Sequencing Provider	0	2	1	21	11	0	2	0	0	0		187	2380	0	0	0	0	0	Sequencing provider for each sample in the WGS project.	2021-10-22T00:00:00	2023-03-02T00:00:00	200010	200010	0	3	3	3
23081	Sample plate ID	0	2	1	41	0	0	2	0	0	0		187	0	0	0	0	0	0	Sequencing provider plate barcode. A 10 digit alphanumeric EAN13 standard GS1 type linear barcode format orientated on the long side of the plate.	2021-10-22T00:00:00	2023-03-02T00:00:00	200010	200010	0	3	3	3
23082	Shipment batch number	0	2	1	21	11	0	0	0	0	0		187	2382	0	0	0	0	0	Numerical shipment identifier. Batch numbers increase consecutively from Batch 1 for each sequencing provider.	2021-10-22T00:00:00	2023-03-02T00:00:00	200010	200010	0	3	3	3
23083	Sample quant reading (UKB)	0	2	1	31	0	0	2	0	0	0	ng/micro-l	187	0	0	0	0	0	0	Sample concentration of normalised sample as measured by UKB.	2021-10-22T00:00:00	2023-03-02T00:00:00	200010	200010	0	3	3	3
23084	Sample quant reading (sequence provider)	0	2	1	31	0	0	2	0	0	0	ng/micro-l	187	0	0	0	0	0	0	Sample concentration as measured by sequencing providers.	2021-10-22T00:00:00	2023-03-02T00:00:00	200010	200010	0	3	3	3
23085	Library prep plate barcode	0	2	1	41	0	0	2	0	0	0		187	0	0	0	0	0	0	Barcode of SBS format plate used during library preparation.	2021-10-22T00:00:00	2023-03-02T00:00:00	200010	200010	0	3	3	3
23086	Library prep plate position (well)	0	2	1	41	0	0	2	0	0	0		187	0	0	0	0	0	0	Row and column position on library plate, e.g. A01	2021-10-22T00:00:00	2023-03-02T00:00:00	200010	200010	0	3	3	3
23087	Yield	0	2	1	31	0	0	2	0	0	0	Gb	187	0	0	0	0	0	0	Sequence data quantity	2021-10-22T00:00:00	2023-03-02T00:00:00	200010	200010	0	3	3	3
23088	Proportion of mapped read pairs	0	2	1	31	0	0	2	0	0	0	%	187	0	0	0	0	0	0	Percentage of mapped read-pairs with appropriate orientation and separation. Threshold is >=95% of the total mapped reads	2021-10-22T00:00:00	2023-03-02T00:00:00	200010	200010	0	3	3	3
23089	Coverage	0	2	1	31	0	0	2	0	0	0	%	187	0	0	0	0	0	0	Percentage of autosome sequenced to >=15X	2021-10-22T00:00:00	2023-03-02T00:00:00	200010	200010	0	3	3	3
23090	Average batch coverage	0	2	1	31	0	0	2	0	0	0	%	187	0	0	0	0	0	0	The mean sample genome coverage across the montly sequencing batch to deliver 95% of the autosome covered to >=15X, is expected to be approximately 30X across the genome with a min coverage of 26X	2021-10-22T00:00:00	2023-03-02T00:00:00	200010	200010	0	3	3	3
23091	Freemix verify BAM ID	0	2	1	31	0	0	2	0	0	0	%	187	0	0	0	0	0	0	Freemix percentage value of sample contamination levels	2021-10-22T00:00:00	2023-03-02T00:00:00	200010	200010	0	3	3	3
23092	NRD genotyping	0	2	1	31	0	0	2	0	0	0	%	187	0	0	0	0	0	0	Sample discordance levels at non-reference genotypes.	2021-10-22T00:00:00	2023-03-02T00:00:00	198667	198667	0	3	3	3
23093	Quality requirements achieved	0	2	1	21	11	0	2	0	0	0		187	7	0	0	0	0	0	Pass/fail flag indicating whether generated sequence data has met all quality thresholds.	2021-10-22T00:00:00	2023-03-02T00:00:00	200010	200010	0	3	3	3
23094	Read haps	0	2	1	31	0	0	2	0	0	0	%	187	0	0	0	0	0	0	Read haps estimation of contamination. This is mandatory for contamination failed samples but optional for passed samples.	2021-10-22T00:00:00	2023-03-02T00:00:00	90697	90697	0	3	3	3
23098	Weight	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	3	0	0	Weight of person taken during impedance measurement.<p>0.1 increments. Range 0 - 200Kg.	2012-01-10T00:00:00	2022-12-24T00:00:00	493035	573129	100	1	1	1
23099	Body fat percentage	0	0	0	31	0	0	3	1	0	0	percent	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Body fat percentage<p>Body fat percentage. Range 1% - 75% in 0.1% increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	492786	572825	280	1	1	1
23100	Whole body fat mass	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Fat mass<p>Total fat mass in Kg, in 0.1Kg increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	492261	572213	290	1	1	1
23101	Whole body fat-free mass	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Fat free mass<p>Fat free mass in Kg. Increment in 0.1 Kg	2012-01-10T00:00:00	2022-12-24T00:00:00	492988	573077	300	1	1	1
23102	Whole body water mass	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Body water mass<p>Units in Kg. Increments in 0.1 Kg.	2012-01-10T00:00:00	2022-12-24T00:00:00	493032	573124	310	1	1	1
23104	Body mass index (BMI)	0	0	0	31	0	0	3	1	0	0	Kg/m2	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Body Mass Index.<p>Increments of 0.1 .	2012-01-10T00:00:00	2022-12-24T00:00:00	493030	573121	110	1	1	1
23105	Basal metabolic rate	0	0	0	31	0	0	3	1	0	0	KJ	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Basal metabolic rate<p>Return value in Kilo- Joules.	2012-01-10T00:00:00	2022-12-24T00:00:00	493020	573110	270	1	1	1
23106	Impedance of whole body	0	0	0	31	0	0	3	1	0	0	ohms	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Impedance of whole body. is Range 150 - 1200ohms in 1ohm increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	492982	573065	380	1	1	1
23107	Impedance of leg (right)	0	0	0	31	0	0	3	1	0	0	ohms	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Impedance of right leg, oh<p>Measured impedance of right leg. Range 150 - 1200 (ohms) in 1 (ohms) increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	493009	573099	420	1	1	1
23108	Impedance of leg (left)	0	0	0	31	0	0	3	1	0	0	ohms	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Impedance of left leg, ohm<p>Measured impedance of left leg. Range 150 - 1200 (ohms) in 1 (ohms) increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	493005	573093	410	1	1	1
23109	Impedance of arm (right)	0	0	0	31	0	0	3	1	0	0	ohms	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Impedance of right arm, oh<p>Measured impedance of right arm. Range 150 - 1200 (ohms) in 1 (ohms) increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	492976	573061	400	1	1	1
23110	Impedance of arm (left)	0	0	0	31	0	0	3	1	0	0	ohms	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Impedance of left arm, ohm<p>Measured impedance of left arm. Range 150 - 1200 (ohms) in 1 (ohms) increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	492999	573085	390	1	1	1
23111	Leg fat percentage (right)	0	0	0	31	0	0	3	1	0	0	percent	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Right leg fat percentages<p>Range 1-75% in 0.1% increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	493002	573090	330	1	1	1
23112	Leg fat mass (right)	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Right leg fat mass<p>Right leg fat mass in Kg, 0.1 increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	492994	573081	350	1	1	1
23113	Leg fat-free mass (right)	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Right leg fat free mass.<p>Right leg fat free mass in Kg, 0.1 increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	492985	573069	120	1	1	1
23114	Leg predicted mass (right)	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Right leg predicted mass.<p>in Kg, 0.1 increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	492984	573068	140	1	1	1
23115	Leg fat percentage (left)	0	0	0	31	0	0	3	1	0	0	percent	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Left leg fat percentage<p>Range 1-75% in 0.1% increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	492975	573058	320	1	1	1
23116	Leg fat mass (left)	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Left leg fat mass<p>Left leg free mass in Kg, 0.1 increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	492970	573053	340	1	1	1
23117	Leg fat-free mass (left)	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Left leg fat free mass.<p>Left leg fat free mass in Kg, 0.1 increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	492957	573034	360	1	1	1
23118	Leg predicted mass (left)	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Left leg predicted mass.<p>in Kg, 0.1 increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	492951	573028	130	1	1	1
23119	Arm fat percentage (right)	0	0	0	31	0	0	3	1	0	0	percent	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Right arm fat percentage<p>Range 1-75% in 0.1% increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	492941	573016	160	1	1	1
23120	Arm fat mass (right)	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Right arm fat mass.<p>Right arm fat mass in Kg, 0.1 increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	492910	572980	180	1	1	1
23121	Arm fat-free mass (right)	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Right arm fat free mass<p>Right arm fat free mass in Kg, 0.1 increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	492912	572978	190	1	1	1
23122	Arm predicted mass (right)	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Right Arm predicted mass<p>in Kg, 0.1 increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	492904	572970	220	1	1	1
23123	Arm fat percentage (left)	0	0	0	31	0	0	3	1	0	0	percent	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Left arm fat percentage<p>Range 1-75% in 0.1% increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	492884	572947	150	1	1	1
23124	Arm fat mass (left)	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Left arm fat mass.<p>Left arm fat mass in Kg, 0.1 increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	492848	572903	170	1	1	1
23125	Arm fat-free mass (left)	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Left arm fat free mass<p>Left arm fat free mass in Kg, 0.1 increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	492834	572889	200	1	1	1
23126	Arm predicted mass (left)	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Left arm predicted mass.<p>in Kg, 0.1 increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	492817	572870	210	1	1	1
23127	Trunk fat percentage	0	0	0	31	0	0	3	1	0	0	percent	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Trunk fat percentages<p>Range 1-75% in 0.1% increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	492788	572827	230	1	1	1
23128	Trunk fat mass	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Trunk fat mass<p>Trunk fat mass in Kg, 0.1 increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	492766	572800	240	1	1	1
23129	Trunk fat-free mass	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Trunk fat free mass.<p>Trunk fat free mass in Kg, 0.1 increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	492697	572716	250	1	1	1
23130	Trunk predicted mass	0	0	0	31	0	0	3	1	0	0	Kg	100009	0	2	0	3	0	0	Body composition estimation by impedance measurement. Trunk predicted mass<p>in Kg, 0.1 increments.	2012-01-10T00:00:00	2022-12-24T00:00:00	492656	572656	260	1	1	1
23141	Exome OQFE variant call files (VCFs)	0	2	0	41	0	20	3	0	0	0		170	0	0	0	0	0	0	Exome FE variant call files (VCFs) <p> Supercedes SPB and FE pipelines. <p> Total size of files is approximately 8TB for 200,000 participants.	2020-07-05T00:00:00	2022-07-14T00:00:00	469792	469792	160	0	3	0
23142	Exome OQFE variant call file (VCF) indices	0	2	0	41	0	20	3	0	0	0		170	0	0	0	0	0	0	Exome FE variant calls indices <p> Supercedes SPB and FE pipelines.	2020-07-05T00:00:00	2022-07-14T00:00:00	468792	468792	170	0	3	0
23143	Exome OQFE CRAM files	0	2	0	41	0	20	3	0	0	0		170	0	0	0	0	0	0	Exome OQFE CRAM files <p> Supercedes SPB and FE pipelines. <p> Total size of files is approximately 175TB for 200,000 participants.	2020-07-05T00:00:00	2022-07-14T00:00:00	469914	469914	180	0	3	0
23144	Exome OQFE CRAM indices	0	2	0	41	0	20	3	0	0	0		170	0	0	0	0	0	0	Exome OQFE CRAM indices <p> Supercedes SPB and FE pipelines.	2020-07-05T00:00:00	2022-07-14T00:00:00	469915	469915	190	0	3	0
23145	Population level exome OQFE variants, PLINK format - interim 300k release	0	2	0	21	11	20	3	0	0	0	blocks	171	1	0	0	0	0	0	Population level exome OQFE variants, PLINK format. <p><b>From the end of August 2022, no download access for this datafield will be available.</b>	2020-09-28T00:00:00	2022-07-02T00:00:00	302253	302253	140	0	3	0
23146	Population level exome OQFE variants, pVCF format - interim 300k release	0	2	0	21	11	20	3	0	0	0	blocks	171	1	0	0	0	0	0	Population level exome OQFE variants, pVCF format. <p><b>From the end of August 2022, no download access for this datafield will be available.</b>	2020-09-28T00:00:00	2022-07-02T00:00:00	302253	302253	130	0	3	0
23147	Population level exome OQFE variants, BGEN format - interim 300k release	0	0	0	21	11	20	3	0	0	0	blocks	171	1	0	0	0	0	0	Population level exome OQFE variants, BGEN format. <p><b>From the end of August 2022, no download access for this datafield will be available.</b>	2021-06-30T00:00:00	2022-07-02T00:00:00	302253	302253	150	0	3	0
23148	Population level exome OQFE variants, pVCF format - interim 450k release	0	0	0	21	11	20	3	0	0	0	blocks	171	1	0	0	0	0	0	Population level exome OQFE variants, pVCF format.	2021-09-24T00:00:00	2021-10-23T00:00:00	454761	454761	100	0	3	0
23149	Population level exome OQFE variants, PLINK format - interim 450k release	0	0	0	21	11	20	3	0	0	0	blocks	171	1	0	0	0	0	0	Population level exome OQFE variants, PLINK format.	2021-09-24T00:00:00	2021-10-23T00:00:00	454761	454761	110	0	3	0
23150	Population level exome OQFE variants, BGEN format - interim 450k release	0	0	0	21	11	20	3	0	0	0	blocks	171	1	0	0	0	0	0	Population level exome OQFE variants, BGEN format.	2021-09-24T00:00:00	2021-10-23T00:00:00	454761	454761	120	0	3	0
23151	Exome OQFE variant call files (VCFs) - interim 200k release	0	2	0	41	0	20	3	0	0	0		171	0	0	0	0	0	0	Exome FE variant call files (VCFs) <p> Supercedes SPB and FE pipelines. <p> Total size of files is approximately 8TB for 200,000 participants. <p><b>From the end of August 2022, no download access for this datafield will be available.</b>	2020-07-05T00:00:00	2020-09-20T00:00:00	200586	200586	220	0	3	0
23152	Exome OQFE variant call file (VCF) indices - interim 200k release	0	2	0	41	0	20	3	0	0	0		171	0	0	0	0	0	0	Exome FE variant calls indices <p> Supercedes SPB and FE pipelines. <p><b>From the end of August 2022, no download access for this datafield will be available.</b>	2020-07-05T00:00:00	2020-09-20T00:00:00	200586	200586	230	0	3	0
23153	Exome OQFE CRAM files - interim 200k release	0	2	0	41	0	20	3	0	0	0		171	0	0	0	0	0	0	Exome OQFE CRAM files <p> Supercedes SPB and FE pipelines. <p> Total size of files is approximately 175TB for 200,000 participants. <p><b>From the end of August 2022, no download access for this datafield will be available.</b>	2020-07-05T00:00:00	2020-08-24T00:00:00	200585	200585	240	0	3	0
23154	Exome OQFE CRAM indices - interim 200k release	0	2	0	41	0	20	3	0	0	0		171	0	0	0	0	0	0	Exome OQFE CRAM indices <p> Supercedes SPB and FE pipelines. <p><b>From the end of August 2022, no download access for this datafield will be available.</b>	2020-07-05T00:00:00	2020-08-24T00:00:00	200586	200586	250	0	3	0
23155	Population level exome OQFE variants, PLINK format - interim 200k release	0	2	0	11	0	20	3	0	0	0	blocks	171	0	0	0	0	0	0	Population level exome OQFE variants, PLINK format Total size of files is approximately 1TB for 200,000 participants. <p> Data can be retrieved using the gfetch utility. Use command <p> gfetch 23155 -cP <p> where P is the chromosome. To fetch the corresponding Application-specific fam file use the command <p> gfetch 23155 -cP -m <p><b>From the end of August 2022, no download access for this datafield will be available.</b>	2020-09-28T00:00:00	2020-10-20T00:00:00	200586	200586	200	0	3	0
23156	Population level exome OQFE variants, pVCF format - interim 200k release	0	2	0	11	0	20	3	0	0	0	blocks	171	0	0	0	0	0	0	Population level exome OQFE variants, pVCF format Total size of files is approximately 7TB for 200,000 participants. <p> Data can be retrieved using the gfetch utility. See ~R837~ to identify which file houses particular loci (chromosomes are split across multiple blocks). Use command <p> gfetch 23156 -cP -bQ <p> where P is the chromosome and Q is the block index. <p><b>From the end of August 2022, no download access for this datafield will be available.</b>	2020-09-28T00:00:00	2020-10-20T00:00:00	200586	200586	210	0	3	0
23157	Population level exome OQFE variants, pVCF format - Final exome release	0	0	0	21	11	20	3	0	0	0	blocks	170	1	0	0	0	0	0	Population level exome OQFE variants, pVCF format. <br><br> Note: The total number of exomes released is lower than the total cohort number of available samples. This is due to the impact of the COVID-19 pandemic during the Whole Exome Sequencing project.	2021-09-24T00:00:00	2022-07-02T00:00:00	469792	469792	130	0	3	0
23158	Population level exome OQFE variants, PLINK format - Final exome release	0	0	0	21	11	20	3	0	0	0	blocks	170	1	0	0	0	0	0	Population level exome OQFE variants, PLINK format. <br><br> Note: The number of exomes released is lower than the total cohort number of available samples. This is due to the impact of the COVID-19 pandemic during the Whole Exome Sequencing project.	2021-09-24T00:00:00	2022-07-02T00:00:00	469792	469792	140	0	3	0
23159	Population level exome OQFE variants, BGEN format - Final exome release	0	0	0	21	11	20	3	0	0	0	blocks	170	1	0	0	0	0	0	Population level exome OQFE variants, BGEN format. <br><br> Note: The number of exomes released is lower than the total cohort number of available samples. This is due to the impact of the COVID-19 pandemic during the Whole Exome Sequencing project.	2021-09-24T00:00:00	2022-07-02T00:00:00	469792	469792	150	0	3	0
23160	Population-level FE variants, PLINK format - initial 50k release	0	2	0	41	0	20	3	0	0	0		171	0	0	0	0	0	0	Population-level FE variant results encoded in PLINK format. To download this information use the ukbgene utility with the command <pre> ukbgene efe -c1 </pre> <p>using any recent valid keyfile for the Application. The associated fam files can be downloaded with the command <pre> ukbgene efe -c1 -m </pre> <p> Note that, unlike the genotyped and imputed information, all of the data for the whole genome is stored in a single file with properties: <p>Size: 111905503923 Bytes. <br>MD5: a5a922cd24a79774c715f91684731e49 <p>The corresponding bim file is available as ~R1534~. <p><b>From the end of August 2022, no download access for this datafield will be available.</b>	2019-03-01T00:00:00	2019-03-11T00:00:00	49978	49978	260	0	3	0
23161	Exome FE variant call files (VCFs) - initial 50k release	0	2	0	41	0	20	3	0	0	0		171	0	0	0	0	0	0	Exome FE variant call files (VCFs). <p> These files are typically around 45MB per participant. <p>Files are downloaded using the ukbfetch utility as described in ~R644~. <p><b>From the end of August 2022, no download access for this datafield will be available.</b>	2019-03-01T00:00:00	2019-03-08T00:00:00	49978	49978	270	0	3	0
23162	Exome FE variant calls indices - initial 50k release	0	2	0	41	0	20	3	0	0	0		171	0	0	0	0	0	0	Exome FE variant calls indices <p>Files are downloaded using the ukbfetch utility as described in ~R644~. <p><b>From the end of August 2022, no download access for this datafield will be available.</b>	2019-03-01T00:00:00	2019-03-08T00:00:00	49978	49978	280	0	3	0
23163	Exome FE CRAM files - initial 50k release	0	2	0	41	0	20	0	0	0	0		171	0	0	0	0	0	0	Exome FE CRAM files <p> These files are typically around 2GB per participant. <p>Files are downloaded using the ukbfetch utility as described in ~R644~. <p><b>From the end of August 2022, no download access for this datafield will be available.</b>	2019-03-01T00:00:00	2019-04-15T00:00:00	49978	49978	290	0	3	0
23164	Exome FE CRAM indices - initial 50k release	0	2	0	41	0	20	0	0	0	0		171	0	0	0	0	0	0	Exome FE CRAM indices <p>Files are downloaded using the ukbfetch utility as described in ~R644~. <p><b>From the end of August 2022, no download access for this datafield will be available.</b>	2019-03-01T00:00:00	2019-04-15T00:00:00	49978	49978	300	0	3	0
23165	Blood-type haplotype	0	0	0	21	41	0	3	0	0	0		264	169	0	0	0	0	0	Blood type was imputed for genotyped UK Biobank participants using three SNPs (rs505922, rs8176719, and rs8176746) in the ABO gene on chromosome 9q34.2. <p> rs8176719 deletion was taken as indicative of haplotype O; <br>For participants with no result for rs8176719, rs505922 of T was used to indicate type O. <br>Type B was indicated by T at rs8176746. <p> This was developed from the methodology of: <ul> <li>Melzer et al 2008 (https://doi.org/10.1371/journal.pgen.1000072)</li> <li>Pare et al 2008 (https:// doi.org/10.1371/journal.pgen.1000118)</li> <li>Wolpin et al 2010 (https:// doi.org/10.1158/0008-5472.CAN-09-2993)</li> <li>Groot et al 2020 (https://doi.org/10.1161/ATVBAHA.119.313658)</li> </ul>	2020-07-03T00:00:00	2020-07-03T00:00:00	487431	487431	0	1	1	1
23170	INVALID Population-level SPB variants, PLINK format	4	2	0	41	0	20	3	0	0	0		170	0	0	0	0	0	0	This dataset was withdrawn in late 2019 after defects were discovered. <p> Population-level SPB variant results encoded in PLINK format. To download this information use the ukbgene utility with the command <pre> ukbgene evc -c1 </pre> <p>using any recent valid keyfile for the Application. The associated fam files can be downloaded with the command <pre> ukbgene evc -c1 -m </pre> <p> Note that, unlike the genotyped and imputed information, all of the data for the whole genome is stored in a single file with properties: <p>Size: 130504562763 Bytes <br>MD5: ed7335777fc5128978cdb314957131ce <p> The corresponding bim file is available as ~R910~.	2019-02-08T00:00:00	2019-03-11T00:00:00	49978	49978	230	0	3	0
23171	INVALID Exome SPB variant call files (VCFs)	4	2	0	41	0	20	3	0	0	0		170	0	0	0	0	0	0	This dataset was withdrawn in late 2019 after defects were discovered. <p> Exome SPB variant call files (VCFs) <p> These files are typically around 70MB per participant. <p>Files are downloaded using the ukbfetch utility as described in ~R644~.	2018-07-02T00:00:00	2019-03-08T00:00:00	49978	49978	240	0	3	0
23172	INVALID Exome SPB variant calls indices	4	2	0	41	0	20	3	0	0	0		170	0	0	0	0	0	0	This dataset was withdrawn in late 2019 after defects were discovered. <p> Variant calls indices <p>Files are downloaded using the ukbfetch utility as described in ~R644~.	2018-07-02T00:00:00	2019-03-08T00:00:00	49978	49978	250	0	3	0
23173	INVALID Exome SPB CRAM files	4	2	0	41	0	20	0	0	0	0		170	0	0	0	0	0	0	This dataset was withdrawn in late 2019 after defects were discovered. <p> Exome SPB CRAM files <p> These files are typically around 800MB per participant. <p>Files are downloaded using the ukbfetch utility as described in ~R644~.	2018-07-02T00:00:00	2019-03-08T00:00:00	49978	49978	260	0	3	0
23174	INVALID Exome SPB CRAM indices	4	2	0	41	0	20	0	0	0	0		170	0	0	0	0	0	0	This dataset was withdrawn in late 2019 after defects were discovered. <p> CRAM indices <p>Files are downloaded using the ukbfetch utility as described in ~R644~.	2018-07-02T00:00:00	2019-03-08T00:00:00	49978	49978	270	0	3	0
23176	Exome SPB variant call files (VCFs) - initial 50k release	0	2	0	41	0	20	0	0	0	0		171	0	0	0	0	0	0	Exome SPB variant call files (VCFs) <p> These files are typically around 70MB per participant. <p>Files are downloaded using the ukbfetch utility as described in ~R644~. <p><b>From the end of August 2022, no download access for this datafield will be available.</b>	2019-12-27T00:00:00	2020-01-25T00:00:00	49940	49940	310	0	3	0
23177	Exome SPB variant calls indices - initial 50k release	0	2	0	41	0	20	0	0	0	0		171	0	0	0	0	0	0	Variant calls indices <p>Files are downloaded using the ukbfetch utility as described in ~R644~. <p><b>From the end of August 2022, no download access for this datafield will be available.</b>	2019-12-27T00:00:00	2020-01-25T00:00:00	49940	49940	320	0	3	0
23178	Exome SPB CRAM files - initial 50k release	0	2	0	41	0	20	0	0	0	0		171	0	0	0	0	0	0	Exome SPB CRAM files <p> These files are typically around 800MB per participant. <p>Files are downloaded using the ukbfetch utility as described in ~R644~. <p><b>From the end of August 2022, no download access for this datafield will be available.</b>	2019-12-27T00:00:00	2020-01-25T00:00:00	49940	49940	330	0	3	0
23179	Exome SPB CRAM indices - initial 50k release	0	2	0	41	0	20	0	0	0	0		171	0	0	0	0	0	0	CRAM indices <p>Files are downloaded using the ukbfetch utility as described in ~R644~. <p><b>From the end of August 2022, no download access for this datafield will be available.</b>	2019-12-27T00:00:00	2020-01-25T00:00:00	49940	49940	340	0	3	0
23181	BGI WGS CRAM files	0	0	0	41	0	20	0	0	1	0		181	0	0	0	0	0	1	This field contains the sequencing results returned by BGI during the proof-of-concept exercise for whole genome sequencing. Data has been mapped to GRCh38/HG38 and is made available in CRAM format	2018-07-03T00:00:00	2018-07-10T00:00:00	48	50	0	0	3	0
23182	BGI WGS CRAM indices	0	0	0	41	0	20	3	0	1	0		181	0	0	0	0	0	1	This field contains the CRAM indexes to the sequencing results returned by BGI during the proof-of-concept exercise for whole genome sequencing. Data has been mapped to GRCh38/HG38.	2018-07-03T00:00:00	2018-07-10T00:00:00	48	50	0	0	3	0
23183	Broad WGS CRAM files	0	0	0	41	0	20	0	0	1	0		182	0	0	0	0	0	1	This field contains the sequencing results returned by the Broad Institute during the proof-of-concept exercise for whole genome sequencing. Data has been mapped to GRCh38/HG38 and is made available in CRAM format	2018-08-13T00:00:00	2018-08-13T00:00:00	48	50	0	0	3	0
23184	Broad WGS CRAM indices	0	0	0	41	0	20	0	0	1	0		182	0	0	0	0	0	1	This field contains the CRAM indexes to the sequencing results returned by the BROAD Institute during the proof-of-concept exercise for whole genome sequencing. Data has been mapped to GRCh38/HG38.	2018-08-13T00:00:00	2018-08-13T00:00:00	48	50	0	0	3	0
23191	Whole genome variant call files (VCFs)	0	2	0	41	0	20	0	0	0	0		180	0	0	0	0	0	0	Per-participant variant call files (gVCFs) generated in the Vanguard and Main Phases of the Whole Genome Sequencing project. Initial data for 200,000 participants was released in November 2021.	2020-07-05T00:00:00	2020-10-28T00:00:00	150062	150062	150	0	3	0
23192	Whole genome variant calls indices	0	2	0	41	0	20	0	0	0	0		180	0	0	0	0	0	0	Per-participant index files for the gVCFs generated in the Vanguard and Main Phases of the Whole Genome Sequencing project. Initial data for 200,000 participants was released in November 2021.	2020-07-05T00:00:00	2020-10-28T00:00:00	150062	150062	160	0	3	0
23193	Whole genome CRAM files	0	2	0	41	0	20	0	0	0	0		180	0	0	0	0	0	0	Per-participant CRAM files generated in the Vanguard and Main Phases of the Whole Genome Sequencing project. Initial data for 200,000 participants was released in November 2021.	2020-07-05T00:00:00	2020-10-28T00:00:00	33558	33558	170	0	3	0
23194	Whole genome CRAM indices	0	2	0	41	0	20	0	0	0	0		180	0	0	0	0	0	0	Per-participant index files for CRAM files generated in the Vanguard and Main Phases of the Whole Genome Sequencing project. Initial data for 200,000 participants was released in November 2021.	2020-07-05T00:00:00	2020-10-28T00:00:00	33544	33544	180	0	3	0
23195	Whole genome GraphTyper joint call pVCF (deprecated)	0	2	1	11	0	30	0	0	0	0	blocks	186	4982	0	0	0	0	0	Whole genome graph-typer	2020-09-29T00:00:00	2020-10-20T00:00:00	150062	150062	130	0	3	0
23196	Whole genome GATK joint call pVCF	0	2	1	11	0	30	0	0	0	0	blocks	186	4982	0	0	0	0	0	Joint variant calling for the first 150,000 participants sequenced in the main phase of the whole genome sequencing project. This joint variant call was performed using GATK. <p> This data is now deprecated and superceded by ~F24304~. No further joint variant calls using GATK pipelines are planned.	2020-09-29T00:00:00	2020-10-20T00:00:00	150062	150062	120	0	3	0
23197	BQSR - GATK BaseRecalibrator	0	2	0	11	0	20	2	0	0	0		180	0	0	0	0	0	0	Base quality score recalibration (BQSR) performed using GATK BaseRecalibrator as part of genome assembly. Documentation of this tool is provided here (~Ehttps://gatk.broadinstitute.org/hc/en-us/articles/360036898312-BaseRecalibrator~) This step was performed for all samples sequenced in the main phase of the whole genome sequencing project.	2020-10-15T00:00:00	2000-01-01T00:00:00	-1	-1	210	0	3	0
23198	Sample Contamination (ReadHaps)	0	2	0	11	0	20	2	0	0	0		180	0	0	0	0	0	0	Estimation of human contamination in whole genome sequencing data, generated using ReadHaps software (~Ehttps://github.com/DecodeGenetics/read_haps~). This is provided for all samples sequenced by deCODE, and for any samples sequenced by Wellcome Sanger Institute with a calculated sample contamination over 1% using Freemix VerifyBamID	2020-10-15T00:00:00	2000-01-01T00:00:00	-1	-1	280	0	3	0
23199	Genotype Concordance - Contingency Metrics	0	2	0	11	0	20	0	0	0	0		180	0	0	0	0	0	0	Non-reference genotype concordance contingency metrics generated on samples sequenced by deCODE Genetics in the main phase of the whole genome sequencing project, using Picard tools.	2020-10-15T00:00:00	2000-01-01T00:00:00	-1	-1	240	0	3	0
23200	L1-L4 area	0	2	0	31	0	0	0	1	0	0	cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	46009	49356	670	1	1	1
23201	L1-L4 average height	0	2	0	31	0	0	0	1	0	0	cm	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	46009	49356	680	1	1	1
23202	L1-L4 average width	0	2	0	31	0	0	0	1	0	0	cm	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	46009	49356	690	1	1	1
23203	L1-L4 BMC (bone mineral content)	0	2	0	31	0	0	0	1	0	0	g	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	46009	49356	810	1	1	1
23204	L1-L4 BMD (bone mineral density)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	46009	49356	820	1	1	1
23205	L1-L4 BMD (bone mineral density) T-score	0	2	0	31	0	0	0	1	0	0	Std.Devs	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	45989	49336	830	1	1	1
23206	Femur lower neck BMD (bone mineral density) (right)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2020-12-09T00:00:00	7820	7820	230	1	1	1
23207	Femur lower neck BMD (bone mineral density) T-score (right)	0	2	0	31	0	0	0	1	0	0	Std.Devs	125	0	2	0	0	0	0	Value output by DXA system	2015-09-16T00:00:00	2000-01-01T00:00:00	-1	-1	280	1	1	1
23208	Femur neck BMD (bone mineral density) (right)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	46709	50163	310	1	1	1
23209	Femur neck BMD (bone mineral density) T-score (right)	0	2	0	31	0	0	0	1	0	0	Std.Devs	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	46686	50140	540	1	1	1
23210	Femur shaft BMD (bone mineral density) (right)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	46627	50074	560	1	1	1
23211	Femur shaft BMD (bone mineral density) T-score (right)	0	2	0	31	0	0	0	1	0	0	Std.Devs	125	0	2	0	0	0	0	Value output by DXA system	2015-09-16T00:00:00	2000-01-01T00:00:00	-1	-1	580	1	1	1
23212	Femur total BMD (bone mineral density) (right)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	46627	50074	600	1	1	1
23213	Femur total BMD (bone mineral density) T-score (right)	0	2	0	31	0	0	0	1	0	0	Std.Devs	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	46606	50053	620	1	1	1
23214	Femur troch BMD (bone mineral density) (right)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	46709	50163	640	1	1	1
23215	Femur troch BMD (bone mineral density) T-score (right)	0	2	0	31	0	0	0	1	0	0	Std.Devs	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	46681	50135	660	1	1	1
23216	Femur upper neck BMD (bone mineral density) (right)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2020-12-09T00:00:00	7820	7820	720	1	1	1
23217	Femur upper neck BMD (bone mineral density) T-score (right)	0	2	0	31	0	0	0	1	0	0	Std.Devs	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2020-12-09T00:00:00	7807	7807	740	1	1	1
23218	Femur wards BMD (bone mineral density) (right)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	46709	50163	760	1	1	1
23219	Femur wards BMD (bone mineral density) T-score (right)	0	2	0	31	0	0	0	1	0	0	Std.Devs	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	46682	50135	780	1	1	1
23220	Arm BMC (bone mineral content) (left)	0	2	0	31	0	0	0	1	0	0	g	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	26275	27264	110	1	1	1
23221	Arm BMD (bone mineral density) (left)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	26275	27264	140	1	1	1
23222	Arm BMC (bone mineral content) (right)	0	2	0	31	0	0	0	1	0	0	g	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	26275	27264	120	1	1	1
23223	Arm BMD (bone mineral density) (right)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	26275	27264	150	1	1	1
23224	Arms BMC (bone mineral content)	0	2	0	31	0	0	0	1	0	0	g	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48192	51780	190	1	1	1
23225	Arms BMD (bone mineral density)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48192	51780	200	1	1	1
23226	Head BMD (bone mineral density)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48192	51780	800	1	1	1
23227	Leg BMD (bone mineral density) (left)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	26275	27264	860	1	1	1
23228	Leg BMC (bone mineral content) (right)	0	2	0	31	0	0	0	1	0	0	g	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	26275	27264	850	1	1	1
23229	Leg BMD (bone mineral density) (right)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	26275	27264	870	1	1	1
23230	Legs BMC (bone mineral content)	0	2	0	31	0	0	0	1	0	0	g	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48192	51780	880	1	1	1
23231	Legs BMD (bone mineral density)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48192	51780	890	1	1	1
23232	Pelvis BMD (bone mineral density)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48192	51780	910	1	1	1
23233	Ribs BMD (bone mineral density)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48192	51780	930	1	1	1
23234	Spine BMD (bone mineral density)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48192	51780	950	1	1	1
23235	Total BMC (bone mineral content)	0	2	0	31	0	0	0	1	0	0	g	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48192	51780	960	1	1	1
23236	Total BMD (bone mineral density)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48192	51780	970	1	1	1
23237	Total BMD (bone mineral density) (left)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	26275	27264	980	1	1	1
23238	Total BMD (bone mineral density) (right)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	26275	27264	990	1	1	1
23239	Total BMD (bone mineral density) T-score	0	2	0	31	0	0	0	1	0	0	Std.Devs	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48168	51755	1000	1	1	1
23240	Trunk BMC (bone mineral content)	0	2	0	31	0	0	0	1	0	0	g	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48192	51780	1010	1	1	1
23241	Trunk BMD (bone mineral density)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48192	51780	1020	1	1	1
23242	Trunk BMD (bone mineral density) (left)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	26275	27264	1030	1	1	1
23243	Trunk BMD (bone mineral density) (right)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	26275	27264	1040	1	1	1
23244	Android bone mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	41094	44310	100	1	1	1
23245	Android fat mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	41094	44310	110	1	1	1
23246	Android lean mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	41094	44310	120	1	1	1
23247	Android tissue fat percentage	0	2	0	31	0	0	0	1	0	0	percent	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48193	51781	130	1	1	1
23248	Android total mass	0	2	0	31	0	0	0	1	0	0	kg	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48193	51781	140	1	1	1
23249	Arm fat mass (left)	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	22389	23283	150	1	1	1
23250	Arm lean mass (left)	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	22389	23283	170	1	1	1
23251	Arm tissue fat percentage (left)	0	2	0	31	0	0	0	1	0	0	percent	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	26276	27265	190	1	1	1
23252	Arm total mass (left)	0	2	0	31	0	0	0	1	0	0	kg	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	26276	27265	210	1	1	1
23253	Arm fat mass (right)	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	22389	23283	160	1	1	1
23254	Arm lean mass (right)	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	22389	23283	180	1	1	1
23255	Arm tissue fat percentage (right)	0	2	0	31	0	0	0	1	0	0	percent	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	26276	27265	200	1	1	1
23256	Arm total mass (right)	0	2	0	31	0	0	0	1	0	0	kg	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	26276	27265	220	1	1	1
23257	Arms fat mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	41094	44310	230	1	1	1
23258	Arms lean mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	41094	44310	240	1	1	1
23259	Arms tissue fat percentage	0	2	0	31	0	0	0	1	0	0	percent	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48193	51781	250	1	1	1
23260	Arms total mass	0	2	0	31	0	0	0	1	0	0	kg	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48193	51781	260	1	1	1
23261	Gynoid bone mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	41094	44310	270	1	1	1
23262	Gynoid fat mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	41094	44310	280	1	1	1
23263	Gynoid lean mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	41094	44310	290	1	1	1
23264	Gynoid tissue fat percentage	0	2	0	31	0	0	0	1	0	0	percent	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48193	51781	300	1	1	1
23265	Gynoid total mass	0	2	0	31	0	0	0	1	0	0	kg	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48193	51781	310	1	1	1
23266	Leg fat mass (left)	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	22389	23283	350	1	1	1
23267	Leg lean mass (left)	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	22389	23283	370	1	1	1
23268	Leg tissue fat percentage (left)	0	2	0	31	0	0	0	1	0	0	percent	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	26276	27265	390	1	1	1
23269	Leg total mass (left)	0	2	0	31	0	0	0	1	0	0	kg	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	26276	27265	410	1	1	1
23270	Leg fat mass (right)	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	22389	23283	360	1	1	1
23271	Leg lean mass (right)	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	22389	23283	380	1	1	1
23272	Leg tissue fat percentage (right)	0	2	0	31	0	0	0	1	0	0	percent	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	26276	27265	400	1	1	1
23273	Leg total mass (right)	0	2	0	31	0	0	0	1	0	0	kg	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	26276	27265	420	1	1	1
23274	Legs fat mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	41094	44310	430	1	1	1
23275	Legs lean mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	41094	44310	440	1	1	1
23276	Legs tissue fat percentage	0	2	0	31	0	0	0	1	0	0	percent	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48193	51781	450	1	1	1
23277	Legs total mass	0	2	0	31	0	0	0	1	0	0	kg	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48193	51781	460	1	1	1
23278	Total fat mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	41094	44310	470	1	1	1
23279	Total fat-free mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	41094	44310	480	1	1	1
23280	Total lean mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	41094	44310	490	1	1	1
23281	Total tissue fat percentage	0	2	0	31	0	0	0	1	0	0	percent	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48193	51781	500	1	1	1
23282	Total tissue mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	41094	44310	510	1	1	1
23283	Total mass	0	2	0	31	0	0	0	1	0	0	kg	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48193	51781	520	1	1	1
23284	Trunk fat mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	41094	44310	530	1	1	1
23285	Trunk lean mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	41094	44310	540	1	1	1
23286	Trunk tissue fat percentage	0	2	0	31	0	0	0	1	0	0	percent	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48193	51781	550	1	1	1
23287	Trunk total mass	0	2	0	31	0	0	0	1	0	0	kg	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48193	51781	560	1	1	1
23288	VAT (visceral adipose tissue) mass	0	2	0	11	0	0	0	1	0	0	g	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	40873	44043	570	1	1	1
23289	VAT (visceral adipose tissue) volume	0	2	0	11	0	0	0	1	0	0	cm3	124	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	40873	44043	580	1	1	1
23290	Femur shaft BMD (bone mineral density) (left)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48190	51764	550	1	1	1
23291	Femur total BMD (bone mineral density) (left)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48190	51764	590	1	1	1
23292	Femur upper neck BMD (bone mineral density) (left)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2020-12-09T00:00:00	8364	8364	710	1	1	1
23293	Femur total BMD (bone mineral density) T-score (left)	0	2	0	31	0	0	0	1	0	0	Std.Devs	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48165	51737	610	1	1	1
23294	Femur lower neck BMD (bone mineral density) T-score (left)	0	2	0	31	0	0	0	1	0	0	Std.Devs	125	0	2	0	0	0	0	Value output by DXA system	2015-09-16T00:00:00	2000-01-01T00:00:00	-1	-1	290	1	1	1
23295	Femur troch BMD (bone mineral density) (left)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48254	51834	630	1	1	1
23296	Femur upper neck BMD (bone mineral density) T-score (left)	0	2	0	31	0	0	0	1	0	0	Std.Devs	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2020-12-09T00:00:00	8353	8353	730	1	1	1
23297	Femur wards BMD (bone mineral density) (left)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48254	51834	750	1	1	1
23298	Femur troch BMD (bone mineral density) T-score (left)	0	2	0	31	0	0	0	1	0	0	Std.Devs	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48222	51799	650	1	1	1
23299	Femur neck BMD (bone mineral density) (left)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48254	51834	300	1	1	1
23300	Femur neck BMD (bone mineral density) T-score (left)	0	2	0	31	0	0	0	1	0	0	Std.Devs	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48229	51807	530	1	1	1
23301	Femur wards BMD (bone mineral density) T-score (left)	0	2	0	31	0	0	0	1	0	0	Std.Devs	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2023-02-03T00:00:00	48225	51802	770	1	1	1
23302	Femur lower neck BMD (bone mineral density) (left)	0	2	0	31	0	0	0	1	0	0	g/cm2	125	0	2	2	3	0	0	Value output by DXA system	2015-09-16T00:00:00	2020-12-09T00:00:00	8364	8364	220	1	1	1
23303	Femur shaft BMD (bone mineral density) T-score (left)	0	2	0	31	0	0	0	1	0	0	Std.Devs	125	0	2	0	0	0	0	Value output by DXA system	2015-09-16T00:00:00	2000-01-01T00:00:00	-1	-1	570	1	1	1
23304	Trunk bone area	0	2	0	31	0	0	0	1	0	0	cm2	125	0	2	2	3	0	0	Trunk area	2015-09-24T00:00:00	2023-02-03T00:00:00	48192	51780	240	1	1	1
23305	Head bone area	0	2	0	31	0	0	0	1	0	0	cm2	125	0	2	2	3	0	0	Head area	2015-09-24T00:00:00	2023-02-03T00:00:00	48192	51780	100	1	1	1
23306	Head BMC (bone mineral content)	0	2	0	31	0	0	0	1	0	0	g	125	0	2	2	3	0	0	Head BMC	2015-09-24T00:00:00	2023-02-03T00:00:00	48192	51780	790	1	1	1
23307	Pelvis bone area	0	2	0	31	0	0	0	1	0	0	cm2	125	0	2	2	3	0	0	Pelvis area	2015-09-24T00:00:00	2023-02-03T00:00:00	48192	51780	250	1	1	1
23308	Pelvis BMC (bone mineral content)	0	2	0	31	0	0	0	1	0	0		125	0	2	2	3	0	0	Pelvis BMC	2015-09-24T00:00:00	2023-02-03T00:00:00	48192	51780	900	1	1	1
23309	Ribs bone area	0	2	0	31	0	0	0	1	0	0	cm2	125	0	2	2	3	0	0	Ribs area	2015-09-24T00:00:00	2023-02-03T00:00:00	48192	51780	180	1	1	1
23310	Ribs BMC (bone mineral content)	0	2	0	31	0	0	0	1	0	0	g	125	0	2	2	3	0	0	Ribs BMC	2015-09-24T00:00:00	2023-02-03T00:00:00	48192	51780	920	1	1	1
23311	Spine bone area	0	2	0	31	0	0	0	1	0	0	cm2	125	0	2	2	3	0	0	Spine area	2015-09-24T00:00:00	2023-02-03T00:00:00	48192	51780	210	1	1	1
23312	Spine BMC (bone mineral content)	0	2	0	31	0	0	0	1	0	0	g	125	0	2	2	3	0	0	Spine BMC	2015-09-24T00:00:00	2023-02-03T00:00:00	48192	51780	940	1	1	1
23313	Arm bone area (left)	0	2	0	31	0	0	0	1	0	0	cm2	125	0	2	2	3	0	0	Arm area (left)	2015-09-24T00:00:00	2023-02-03T00:00:00	26275	27264	160	1	1	1
23314	Arm bone area (right)	0	2	0	31	0	0	0	1	0	0	cm2	125	0	2	2	3	0	0	Arm area (right)	2015-09-24T00:00:00	2023-02-03T00:00:00	26275	27264	170	1	1	1
23315	Leg bone area (left)	0	2	0	31	0	0	0	1	0	0	cm2	125	0	2	2	3	0	0	Leg area (left)	2015-09-24T00:00:00	2023-02-03T00:00:00	26275	27264	270	1	1	1
23316	Leg bone area (right)	0	2	0	31	0	0	0	1	0	0	cm2	125	0	2	2	3	0	0	Leg area (right)	2015-09-24T00:00:00	2023-02-03T00:00:00	26275	27264	320	1	1	1
23317	Arms combined bone area	0	2	0	31	0	0	0	1	0	0	cm2	125	0	2	2	3	0	0	Arms combined area is the sum of ~F23313~ and ~F23314~. It has been presented in addition to the component parts because the DXA device did not always return the separate Left and Right values.	2015-09-24T00:00:00	2023-02-03T00:00:00	48192	51780	130	1	1	1
23318	Legs combined bone area	0	2	0	31	0	0	0	1	0	0	cm2	125	0	2	2	3	0	0	Legs combined area is the sum of ~F23315~ and ~F23316~. It has been presented in addition to the component parts because the DXA device did not always return the separate Left and Right values.	2015-09-24T00:00:00	2023-02-03T00:00:00	48192	51780	260	1	1	1
23319	Genotype Concordance - Detail Metrics	0	2	0	11	0	20	0	0	0	0		180	0	0	0	0	0	0	Non-reference genotype concordance detailed metrics generated on samples sequenced by deCODE Genetics in the main phase of the whole genome sequencing project, using Picard tools.	2020-10-15T00:00:00	2000-01-01T00:00:00	-1	-1	250	0	3	0
23320	Leg BMC (bone mineral content) (left)	0	2	0	31	0	0	0	1	0	0	g	125	0	2	2	3	0	0	Value output by DXA system	2015-09-17T00:00:00	2023-02-03T00:00:00	26275	27264	840	1	1	1
23321	Values wanted	0	2	0	11	0	0	2	1	1	0		502	0	2	2	3	0	110	This is an array of values indicating the digit that the participant would have entered if they had correctly matched the symbols above and below.	2017-06-12T00:00:00	2023-03-08T00:00:00	49259	1041655	130	1	1	1
23322	Values entered	0	2	0	11	0	0	2	1	1	0		502	0	2	2	3	0	110	Digits entered by participant	2017-06-12T00:00:00	2023-03-08T00:00:00	49259	1041655	140	1	1	1
23323	Number of symbol digit matches attempted	0	2	0	11	0	0	3	1	0	0	attempts	502	6361	2	2	3	0	0	Number of symbol digit matches attempted before the participant timed-out.	2017-06-09T00:00:00	2023-03-08T00:00:00	49259	53294	100	1	1	1
23324	Number of symbol digit matches made correctly	0	2	0	11	0	0	3	1	0	0	correct-answers	502	0	2	2	3	0	0	This is the number of symbols correctly matched to digits by the participant. <p> Note that it would be possible to get a high score here simply by repeated entering "1" very quickly as it would be correct 1/8 of the time and a large number of attempts could be made. For this reason, the score must be interpreted alongside ~F6774~ which shows the total number of attempts.	2017-06-16T00:00:00	2023-03-08T00:00:00	49259	53294	110	1	1	1
23325	Femur neck bone area (left)	0	2	0	31	0	0	3	1	0	0	cm3	125	0	2	2	3	0	0	Bone area for the left femoral neck, from DXA output.	2020-08-10T00:00:00	2023-02-03T00:00:00	48206	51782	350	1	1	1
23326	Femur neck bone area (right)	0	2	0	31	0	0	3	1	0	0	cm3	125	0	2	2	3	0	0	Bone area for the right femoral neck, from DXA output.	2020-08-10T00:00:00	2023-02-03T00:00:00	46660	50110	360	1	1	1
23327	Femur neck BMC (bone mineral content) (left)	0	2	0	31	0	0	3	1	0	0	g	125	0	2	2	3	0	0	Bone mineral content for the left side femoral neck, from DXA output.	2020-08-10T00:00:00	2023-02-03T00:00:00	48206	51782	330	1	1	1
23328	Femur neck BMC (bone mineral content) (right)	0	2	0	31	0	0	3	1	0	0	g	125	0	2	2	3	0	0	Bone mineral content for the right side femoral neck, from DXA output.	2020-08-10T00:00:00	2023-02-03T00:00:00	46660	50110	340	1	1	1
23329	Femur shaft bone area (left)	0	2	0	31	0	0	3	1	0	0	cm3	125	0	2	2	3	0	0	Bone area for the left femoral shaft, from DXA output.	2020-08-10T00:00:00	2023-02-03T00:00:00	48142	51712	390	1	1	1
23330	Femur shaft bone area (right)	0	2	0	31	0	0	3	1	0	0	cm3	125	0	2	2	3	0	0	Bone area for the right femoral shaft, from DXA output.	2020-08-10T00:00:00	2023-02-03T00:00:00	46577	50020	400	1	1	1
23331	Femur shaft BMC (bone mineral content) (left)	0	2	0	31	0	0	3	1	0	0	g	125	0	2	2	3	0	0	Bone mineral content for the left femoral shaft, from DXA output.	2020-08-10T00:00:00	2023-02-03T00:00:00	48142	51712	370	1	1	1
23332	Femur shaft BMC (bone mineral content) (right)	0	2	0	31	0	0	3	1	0	0	g	125	0	2	2	3	0	0	Bone mineral content for the right femoral shaft, from DXA output.	2020-08-10T00:00:00	2023-02-03T00:00:00	46577	50020	380	1	1	1
23333	Femur total area (left)	0	2	0	31	0	0	3	1	0	0	cm3	125	0	2	2	3	0	0	Total bone area for the left femur, from DXA output.	2020-08-10T00:00:00	2023-02-03T00:00:00	48142	51712	430	1	1	1
23334	Femur total area (right)	0	2	0	31	0	0	3	1	0	0	cm3	125	0	2	2	3	0	0	Total bone area for the right femur, from DXA output.	2020-08-10T00:00:00	2023-02-03T00:00:00	46577	50020	440	1	1	1
23335	Femur total BMC (bone mineral content) (left)	0	2	0	31	0	0	3	1	0	0	g	125	0	2	2	3	0	0	Total bone mineral content for the left femur, from DXA output.	2020-08-10T00:00:00	2023-02-03T00:00:00	48142	51712	410	1	1	1
23336	Femur total BMC (bone mineral content) (right)	0	2	0	31	0	0	3	1	0	0	g	125	0	2	2	3	0	0	Total bone mineral content for the right femur, from DXA output.	2020-08-10T00:00:00	2023-02-03T00:00:00	46577	50020	420	1	1	1
23337	Femur troch bone area (left)	0	2	0	31	0	0	3	1	0	0	cm3	125	0	2	2	3	0	0	Bone area for the greater trochanter of the left femur, from DXA output.	2020-08-10T00:00:00	2023-02-03T00:00:00	48206	51782	470	1	1	1
23338	Femur troch bone area (right)	0	2	0	31	0	0	3	1	0	0	cm3	125	0	2	2	3	0	0	Bone area for the greater trochanter of the right femur, from DXA output.	2020-08-10T00:00:00	2023-02-03T00:00:00	46660	50110	480	1	1	1
23339	Femur troch BMC (bone mineral content) (left)	0	2	0	31	0	0	3	1	0	0	g	125	0	2	2	3	0	0	Bone mineral content for the greater trochanter of the left femur, from DXA output.	2020-08-10T00:00:00	2023-02-03T00:00:00	48206	51782	450	1	1	1
23340	Femur troch BMC (bone mineral content) (right)	0	2	0	31	0	0	3	1	0	0	g	125	0	2	2	3	0	0	Bone mineral content for the greater trochanter of the right femur, from DXA output.	2020-08-10T00:00:00	2023-02-03T00:00:00	46660	50110	460	1	1	1
23341	Femur wards bone area (left)	0	2	0	31	0	0	3	1	0	0	cm3	125	0	2	2	3	0	0	Bone area for the wards triangle of the left femur, from DXA output.	2020-08-10T00:00:00	2023-02-03T00:00:00	48206	51782	510	1	1	1
23342	Femur wards bone area (right)	0	2	0	31	0	0	3	1	0	0	cm3	125	0	2	2	3	0	0	Bone area for the wards triangle of the right femur, from DXA output.	2020-08-10T00:00:00	2023-02-03T00:00:00	46660	50110	520	1	1	1
23343	Femur wards BMC (bone mineral content) (left)	0	2	0	31	0	0	3	1	0	0	g	125	0	2	2	3	0	0	Bone mineral content for the left femoral wards triangle, from DXA output.	2020-08-10T00:00:00	2023-02-03T00:00:00	48206	51782	490	1	1	1
23344	Femur wards BMC (bone mineral content) (right)	0	2	0	31	0	0	3	1	0	0	g	125	0	2	2	3	0	0	Bone mineral content for the right femoral wards triangle, from DXA output.	2020-08-10T00:00:00	2023-02-03T00:00:00	46660	50110	500	1	1	1
23345	Genotype Concordance - Summary Metrics (Picard)	0	2	0	11	0	20	2	0	0	0		180	0	0	0	0	0	0	Non-reference genotype concordance summary metrics generated on samples sequenced by deCODE Genetics in the main phase of the whole genome sequencing project, using Picard tools.	2020-10-15T00:00:00	2000-01-01T00:00:00	-1	-1	260	0	3	0
23346	Genotype Concordance	0	2	0	11	0	20	2	0	0	0		180	0	0	0	0	0	0	Non-reference discordance calculated for samples sequenced by WSI as part of the main phase of the whole genome sequencing project	2020-10-15T00:00:00	2000-01-01T00:00:00	-1	-1	230	0	3	0
23347	Concatenated QC Metrics	0	2	0	11	0	20	2	0	0	0		180	0	0	0	0	0	0	Concatenated quality control (QC) metrics produced on samples sequenced by deCODE genetics as part of the sequencing and assembly process.	2020-10-15T00:00:00	2000-01-01T00:00:00	-1	-1	220	0	3	0
23348	Sample Contamination (verifyBamID) - depthSM	0	2	0	11	0	20	2	0	0	0		180	0	0	0	0	0	0	Estimation of human contamination in whole genome sequencing data, generated using Freemix VerifyBamID.	2020-10-15T00:00:00	2000-01-01T00:00:00	-1	-1	290	0	3	0
23349	Sample Contamination (verifyBamID) - selfSM	0	2	0	11	0	20	2	0	0	0		180	0	0	0	0	0	0	Estimation of human contamination in whole genome sequencing data, generated using Freemix VerifyBamID.	2020-10-15T00:00:00	2000-01-01T00:00:00	-1	-1	300	0	3	0
23350	Manta-called scored structural variant and indel candidates	0	2	0	41	0	20	3	0	0	0		180	0	0	0	0	0	0	Structural variant and indel candidates identified in non-joint called data using Illumina Manta (~Ehttps://github.com/Illumina/manta/blob/master/docs/userGuide/README.md#configuration~). <p> Note that this data was produced as part of the Vanguard phase of the whole genome sequencng project, and is not generated for participants sequenced in the main phase.	2020-12-05T00:00:00	2020-12-18T00:00:00	10793	10793	190	0	3	0
23351	Manta-called unscored structural variant and indel candidates	0	2	0	41	0	20	3	0	0	0		180	0	0	0	0	0	0	Structural variant and indel candidates identified in non-joint called data using Illumina Manta (~Ehttps://github.com/Illumina/manta/blob/master/docs/userGuide/README.md#configuration~). <p> Note that this data was produced as part of the Vanguard phase of the whole genome sequencng project, and is not generated for participants sequenced in the main phase.	2020-12-05T00:00:00	2020-12-18T00:00:00	10793	10793	200	0	3	0
23352	Population level WGS variants, pVCF format - interim 150k release	0	2	0	11	0	20	0	0	0	0	blocks	180	0	0	0	0	0	0	Joint variant calling for the first 150,000 participants sequenced in the main phase of the whole genome sequencing project. This joint variant calling was performed by deCODE Genetics using a GraphTyper pipeline. The data is provided in a pVCF format.	2021-06-17T00:00:00	2000-01-01T00:00:00	-1	-1	140	0	3	0
23353	Whole genome GraphTyper SV data - interim 150k release	0	2	0	11	0	20	3	0	0	0		180	0	0	0	0	0	0	Structural variant data generated as part of the GraphTyper joint variant calling on the first 150,000 participants sequenced in the main phase.	2021-06-17T00:00:00	2000-01-01T00:00:00	-1	-1	130	0	3	0
23354	Whole genome GraphTyper SV data (reserved)	0	3	1	11	0	20	3	0	0	0		180	0	0	0	0	0	0	Structural variant data generated as part of the GraphTyper joint variant calling. <p>This data is currently restricted and is anticipated for public release in late 2023.	2021-06-17T00:00:00	2000-01-01T00:00:00	-1	-1	270	0	3	0
23355	Posterior thigh muscle fat infiltration (MFI) (left)	0	2	0	31	0	0	0	1	0	0	fraction	149	0	2	2	3	0	0	Posterior thigh include gluteus muscles, iliacus, adductor muscles, and hamstring muscles. Muscle fat infiltration is defined as the fat fraction in the viable muscle tissue (fat-free muscle volume (FFMV)).	2021-07-08T00:00:00	2022-11-11T00:00:00	39612	40427	0	1	1	1
23356	Posterior thigh muscle fat infiltration (MFI) (right)	0	2	0	31	0	0	0	1	0	0	fraction	149	0	2	2	3	0	0	Posterior thigh include gluteus muscles, iliacus, adductor muscles, and hamstring muscles. Muscle fat infiltration is defined as the fat fraction in the viable muscle tissue (fat-free muscle volume (FFMV)).	2021-07-08T00:00:00	2022-11-11T00:00:00	39794	40609	0	1	1	1
23357	VAT error indicator	0	2	0	22	11	0	0	1	1	0		149	656	2	2	3	0	1	Along with ~F23358~, this field replaces ~F22411~.	2021-07-08T00:00:00	2022-11-11T00:00:00	199	213	0	1	1	1
23358	ASAT error indicator	0	2	0	22	11	0	0	1	1	0		149	656	2	2	3	0	1	Along with ~F23357~, this field replaces ~F22411~.	2021-07-08T00:00:00	2022-11-11T00:00:00	672	778	0	1	1	1
23359	Anterior thigh error indicator (left)	0	2	0	22	11	0	0	1	1	0		149	656	2	2	3	0	2	Along with field ~F23360~, this field replaces ~F22412~.	2021-07-08T00:00:00	2022-11-11T00:00:00	2456	2594	0	1	1	1
23360	Posterior thigh error indicator (left)	0	2	0	22	11	0	0	1	1	0		149	656	2	2	3	0	1	Along with field ~F23359~, this field replaces ~F22412~.	2021-07-08T00:00:00	2022-11-11T00:00:00	2409	2519	0	1	1	1
23361	Anterior thigh error indicator (right)	0	2	0	22	11	0	0	1	1	0		149	656	2	2	3	0	1	Along with field ~F23362~, this field replaces ~F22413~.	2021-07-08T00:00:00	2022-11-11T00:00:00	1774	1865	0	1	1	1
23362	Posterior thigh error indicator (right)	0	2	0	22	11	0	0	1	1	0		149	656	2	2	3	0	1	Along with field ~F23361~, this field replaces ~F22413~.	2021-07-08T00:00:00	2022-11-11T00:00:00	1851	1935	0	1	1	1
23363	10P liver PDFF mean error indicator	0	2	0	21	11	0	0	1	0	0		149	656	2	2	3	0	0	Along with field ~F23364~, this field replaces ~F22414~.	2021-07-08T00:00:00	2022-05-19T00:00:00	120	121	0	1	1	1
23364	FR liver PDFF mean error indicator	0	2	0	22	11	0	0	1	1	0		149	656	2	2	3	0	1	Along with field ~F23363~, this field replaces ~F22414~.	2021-07-08T00:00:00	2022-11-11T00:00:00	208	212	0	1	1	1
23365	Microsatellites - 150k release	0	0	0	41	0	20	3	0	0	0		180	0	0	0	0	0	0	Microsatellite data generated using a specially optimised tool (popSTR) for microsatellite (STR) marker calling in whole-genome sequencing studies. This dataset includes pVCF files featuring STR marker calls for 150,119 participants. Documentation on popSTR is available here ~Ehttps://doi.org/10.1093/bioinformatics/btw568~.	2023-02-14T00:00:00	2000-01-01T00:00:00	150065	150065	0	0	3	0
23370	Whole genome variant call files (VCFs) (reserved)	0	2	1	41	0	20	0	0	0	0		180	0	0	0	0	0	0	Per-participant variant call files (gVCFs) generated in the Vanguard and Main Phases of the Whole Genome Sequencing project. <p>This data is currently restricted and is anticipated for public release in late 2023.	2020-07-05T00:00:00	2020-10-28T00:00:00	150092	150092	320	0	3	0
23371	Whole genome variant calls indices (reserved)	0	2	1	41	0	20	0	0	0	0		180	0	0	0	0	0	0	Per-participant index files for the gVCFs generated in the Vanguard and Main Phases of the Whole Genome Sequencing project. <p>This data is currently restricted and is anticipated for public release in late 2023.	2020-07-05T00:00:00	2020-10-28T00:00:00	150092	150092	330	0	3	0
23372	Whole genome CRAM files (reserved)	0	2	1	41	0	20	0	0	0	0		180	0	0	0	0	0	0	Per-participant CRAM files generated in the Vanguard and Main Phases of the Whole Genome Sequencing project. <p>This data is currently restricted and is anticipated for public release in late 2023.	2020-07-05T00:00:00	2020-10-28T00:00:00	33562	33562	340	0	3	0
23373	Whole genome CRAM indices (reserved)	0	2	1	41	0	20	0	0	0	0		180	0	0	0	0	0	0	Per-participant index files for CRAM files generated in the Vanguard and Main Phases of the Whole Genome Sequencing project. <p>This data is currently restricted and is anticipated for public release in late 2023.	2020-07-05T00:00:00	2020-10-28T00:00:00	33548	33548	350	0	3	0
23374	Population level WGS variants, pVCF format - 500k release	0	2	1	11	0	20	0	0	0	0	blocks	180	4982	0	0	0	0	0	Whole genome joint variant call, generated using GraphTyper. <p>This data is currently restricted and is anticipated for public release in late 2023.	2020-09-29T00:00:00	2020-10-20T00:00:00	150092	150092	310	0	3	0
23375	Whole genome GATK joint call pVCF (reserved)	0	2	1	11	0	30	0	0	0	0	blocks	186	4982	0	0	0	0	0	Whole genome, joint call pVCFS	2020-09-29T00:00:00	2020-10-20T00:00:00	150092	150092	300	0	3	0
23376	BQSR - GATK BaseRecalibrator (reserved)	0	2	1	11	0	20	2	0	0	0		180	0	0	0	0	0	0	Base quality score recalibration (BQSR) performed using GATK BaseRecalibrator as part of genome assembly. Documentation of this tool is provided here (~Ehttps://gatk.broadinstitute.org/hc/en-us/articles/360036898312-BaseRecalibrator~) This step was performed for all samples sequenced in the main phase of the whole genome sequencing project. <p>This data is currently restricted and is anticipated for public release in late 2023	2020-10-15T00:00:00	2000-01-01T00:00:00	-1	-1	380	0	3	0
23377	Sample Contamination (ReadHaps) (reserved)	0	2	1	11	0	20	2	0	0	0		180	0	0	0	0	0	0	Estimation of human contamination in whole genome sequencing data, generated using ReadHaps software (~Ehttps://github.com/DecodeGenetics/read_haps~). This is provided for all samples sequenced by deCODE, and for any main phase samples sequenced by Wellcome Sanger Institute with a calculated sample contamination over 1% using Freemix VerifyBamID. <p>This data is currently restricted and is anticipated for public release in late 2023.	2020-10-15T00:00:00	2000-01-01T00:00:00	-1	-1	440	0	3	0
23378	Genotype Concordance - Contingency Metrics (reserved)	0	2	1	11	0	20	0	0	0	0		180	0	0	0	0	0	0	Non-reference genotype concordance contingency metrics generated on samples sequenced by deCODE Genetics in the main phase of the whole genome sequencing project, using Picard tools. <p>This data is currently restricted and is anticipated for public release in late 2023	2020-10-15T00:00:00	2000-01-01T00:00:00	-1	-1	410	0	3	0
23379	Genotype Concordance - Detail Metrics (reserved)	0	2	1	11	0	20	0	0	0	0		180	0	0	0	0	0	0	Non-reference genotype concordance detailed metrics generated on samples sequenced by deCODE Genetics in the main phase of the whole genome sequencing project, using Picard tools. <p>This data is currently restricted and is anticipated for public release in late 2023.	2020-10-15T00:00:00	2000-01-01T00:00:00	-1	-1	420	0	3	0
23380	Genotype Concordance - Summary Metrics (Picard) (reserved)	0	2	1	11	0	20	2	0	0	0		180	0	0	0	0	0	0	Non-reference genotype concordance detailed metrics generated on samples sequenced by deCODE Genetics in the main phase of the whole genome sequencing project, using Picard tools. <p>This data is currently restricted and is anticipated for public release in late 2023.	2020-10-15T00:00:00	2000-01-01T00:00:00	-1	-1	430	0	3	0
23381	Genotype Concordance (reserved)	0	2	1	11	0	20	2	0	0	0		180	0	0	0	0	0	0	Non-reference discordance calculated for samples sequenced by WSI as part of the main phase of the whole genome sequencing project. <p>This data is currently restricted and is anticipated for public release in late 2023.	2020-10-15T00:00:00	2000-01-01T00:00:00	-1	-1	400	0	3	0
23382	Concatenated QC Metrics (reserved)	0	2	1	11	0	20	2	0	0	0		180	0	0	0	0	0	0	Concatenated quality control (QC) metrics produced on samples sequenced by deCODE genetics as part of the sequencing and assembly process. <p>This data is currently restricted and is anticipated for public release in late 2023.	2020-10-15T00:00:00	2000-01-01T00:00:00	-1	-1	390	0	3	0
23383	Sample Contamination (verifyBamID) - depthSM (reserved)	0	2	1	11	0	20	2	0	0	0		180	0	0	0	0	0	0	Estimation of human contamination in whole genome sequencing data, generated using Freemix VerifyBamID. <p>This data is currently restricted and is anticipated for public release in late 2023.	2020-10-15T00:00:00	2000-01-01T00:00:00	-1	-1	450	0	3	0
23384	Sample Contamination (verifyBamID) - selfSM (reserved)	0	2	1	11	0	20	2	0	0	0		180	0	0	0	0	0	0	Estimation of human contamination in whole genome sequencing data, generated using Freemix VerifyBamID. <p>This data is currently restricted and is anticipated for public release in late 2023.	2020-10-15T00:00:00	2000-01-01T00:00:00	-1	-1	460	0	3	0
23385	Manta-called scored structural variant and indel candidates (reserved)	0	2	1	41	0	20	3	0	0	0		180	0	0	0	0	0	0	Structural variant and indel candidates identified in non-joint called data using Illumina Manta (~Ehttps://github.com/Illumina/manta/blob/master/docs/userGuide/README.md#configuration~).	2020-12-05T00:00:00	2000-01-01T00:00:00	-1	-1	360	0	3	0
23386	Manta-called unscored structural variant and indel candidates (reserved)	0	2	1	41	0	20	3	0	0	0		180	0	0	0	0	0	0	Structural variant and indel candidates identified in non-joint called data using Illumina Manta (~Ehttps://github.com/Illumina/manta/blob/master/docs/userGuide/README.md#configuration~).	2020-12-05T00:00:00	2000-01-01T00:00:00	-1	-1	370	0	3	0
23400	Total Cholesterol	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Cholesterol from Nightingale Health Data. Biomarker group: Cholesterol	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23401	Total Cholesterol Minus HDL-C	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Cholesterol Minus HDL-C from Nightingale Health Data. Biomarker group: Cholesterol	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23402	Remnant Cholesterol (Non-HDL, Non-LDL -Cholesterol)	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Remnant Cholesterol (Non-HDL, Non-LDL -Cholesterol) from Nightingale Health Data. Biomarker group: Cholesterol	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23403	VLDL Cholesterol	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	VLDL Cholesterol from Nightingale Health Data. Biomarker group: Cholesterol	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23404	Clinical LDL Cholesterol	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Clinical LDL Cholesterol from Nightingale Health data. Biomarker group: Cholesterol	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23405	LDL Cholesterol	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	LDL Cholesterol from Nightingale Health data. Biomarker group: Cholesterol	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23406	HDL Cholesterol	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	HDL Cholesterol from Nightingale Health data. Biomarker group: Cholesterol	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23407	Total Triglycerides	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Triglycerides from Nightingale Health data. Biomarker group: Triglycerides	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23408	Triglycerides in VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Triglycerides in VLDL from Nightingale Health data. Biomarker group: Triglycerides	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23409	Triglycerides in LDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Triglycerides in LDL from Nightingale Health data. Biomarker group: Triglycerides	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23410	Triglycerides in HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Triglycerides in HDL from Nightingale Health data. Biomarker group: Triglycerides	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23411	Total Phospholipids in Lipoprotein Particles	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Phospholipids in Lipoprotein Particles from Nightingale Health data. Biomarker group: Phospholipids	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23412	Phospholipids in VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Phospholipids in VLDL from Nightingale Health data. Biomarker group: Phospholipids	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23413	Phospholipids in LDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Phospholipids in LDL from Nightingale Health data. Biomarker group: Phospholipids	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23414	Phospholipids in HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Phospholipids in HDL from Nightingale Health data. Biomarker group: Phospholipids	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23415	Total Esterified Cholesterol	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Esterified Cholesterol from Nightingale Health data. Biomarker group: Cholesteryl esters	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23416	Cholesteryl Esters in VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesteryl Esters in VLDL from Nightingale Health data. Biomarker group: Cholesteryl esters	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23417	Cholesteryl Esters in LDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesteryl Esters in LDL from Nightingale Health data. Biomarker group: Cholesteryl esters	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23418	Cholesteryl Esters in HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesteryl Esters in HDL from Nightingale Health data. Biomarker group: Cholesteryl esters	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23419	Total Free Cholesterol	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Free Cholesterol from Nightingale Health data. Biomarker group: Free cholesterol	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23420	Free Cholesterol in VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Free Cholesterol in VLDL from Nightingale Health data. Biomarker group: Free cholesterol	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23421	Free Cholesterol in LDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Free Cholesterol in LDL from Nightingale Health data. Biomarker group: Free cholesterol	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23422	Free Cholesterol in HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Free Cholesterol in HDL from Nightingale Health data. Biomarker group: Free cholesterol	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23423	Total Lipids in Lipoprotein Particles	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Lipids in Lipoprotein Particles from Nightingale Health data. Biomarker group: Total lipids	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23424	Total Lipids in VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Lipids in VLDL from Nightingale Health data. Biomarker group: Total lipids	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23425	Total Lipids in LDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Lipids in LDL from Nightingale Health data. Biomarker group: Total lipids	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23426	Total Lipids in HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Lipids in HDL from Nightingale Health data. Biomarker group: Total lipids	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23427	Total Concentration of Lipoprotein Particles	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Concentration of Lipoprotein Particles from Nightingale Health data. Biomarker group: Lipoprotein particle concentrations	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23428	Concentration of VLDL Particles	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Concentration of VLDL Particles from Nightingale Health data. Biomarker group: Lipoprotein particle concentrations	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23429	Concentration of LDL Particles	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Concentration of LDL Particles from Nightingale Health data. Biomarker group: Lipoprotein particle concentrations	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23430	Concentration of HDL Particles	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Concentration of HDL Particles from Nightingale Health data. Biomarker group: Lipoprotein particle concentrations	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23431	Average Diameter for VLDL Particles	0	2	0	31	0	0	0	1	0	0	nm	220	0	2	0	1	0	0	Average Diameter for VLDL Particles from Nightingale Health data. Biomarker group: Lipoprotein particle sizes	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23432	Average Diameter for LDL Particles	0	2	0	31	0	0	0	1	0	0	nm	220	0	2	0	1	0	0	Average Diameter for LDL Particles from Nightingale Health data. Biomarker group: Lipoprotein particle sizes	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23433	Average Diameter for HDL Particles	0	2	0	31	0	0	0	1	0	0	nm	220	0	2	0	1	0	0	Average Diameter for HDL Particles from Nightingale Health data. Biomarker group: Lipoprotein particle sizes	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23434	Phosphoglycerides	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Phosphoglycerides from Nightingale Health data. Biomarker group: Other lipids	2021-02-26T00:00:00	2021-09-03T00:00:00	121633	123059	0	2	1	2
23435	Triglycerides to Phosphoglycerides ratio	0	2	0	31	0	0	0	1	0	0	ratio	220	0	2	0	1	0	0	Ratio of Triglycerides to Phosphoglycerides from Nightingale Health data. Biomarker group: Other lipids	2021-06-18T00:00:00	2021-09-03T00:00:00	121633	123059	0	2	1	2
23436	Total Cholines	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Cholines from Nightingale Health data. Biomarker group: Other lipids	2021-02-26T00:00:00	2021-09-03T00:00:00	121633	123059	0	2	1	2
23437	Phosphatidylcholines	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Phosphatidylcholines from Nightingale Health data. Biomarker group: Other lipids	2021-02-26T00:00:00	2021-09-03T00:00:00	121633	123059	0	2	1	2
23438	Sphingomyelins	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Sphingomyelins from Nightingale Health data. Biomarker group: Other lipids	2021-02-26T00:00:00	2021-09-03T00:00:00	121633	123059	0	2	1	2
23439	Apolipoprotein B	0	2	0	31	0	0	0	1	0	0	g/l	220	0	2	0	1	0	0	Apolipoprotein B from Nightingale Health data. Biomarker group: Apolipoproteins	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23440	Apolipoprotein A1	0	2	0	31	0	0	0	1	0	0	g/l	220	0	2	0	1	0	0	Apolipoprotein A1 from Nightingale Health data. Biomarker group: Apolipoproteins	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23441	Apolipoprotein B to Apolipoprotein A1 ratio	0	2	0	31	0	0	0	1	0	0	ratio	220	0	2	0	1	0	0	Ratio of Apolipoprotein B to Apolipoprotein A1 from Nightingale Health data. Biomarker group: Apolipoproteins	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23442	Total Fatty Acids	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Fatty Acids from Nightingale Health data. Biomarker group: Fatty acids	2021-02-26T00:00:00	2021-09-03T00:00:00	121633	123059	0	2	1	2
23443	Degree of Unsaturation	0	2	0	31	0	0	0	1	0	0	degree	220	0	2	0	1	0	0	Degree of Unsaturation from Nightingale Health data. Biomarker group: Fatty acids	2021-02-26T00:00:00	2021-09-03T00:00:00	121633	123059	0	2	1	2
23444	Omega-3 Fatty Acids	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Omega-3 Fatty Acids from Nightingale Health data. Biomarker group: Fatty acids	2021-02-26T00:00:00	2021-09-03T00:00:00	121633	123059	0	2	1	2
23445	Omega-6 Fatty Acids	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Omega-6 Fatty Acids from Nightingale Health data. Biomarker group: Fatty acids	2021-02-26T00:00:00	2021-09-03T00:00:00	121633	123059	0	2	1	2
23446	Polyunsaturated Fatty Acids	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Polyunsaturated Fatty Acids from Nightingale Health data. Biomarker group: Fatty acids	2021-02-26T00:00:00	2021-09-03T00:00:00	121633	123059	0	2	1	2
23447	Monounsaturated Fatty Acids	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Monounsaturated Fatty Acids from Nightingale Health data. Biomarker group: Fatty acids	2021-02-26T00:00:00	2021-09-03T00:00:00	121633	123059	0	2	1	2
23448	Saturated Fatty Acids	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Saturated Fatty Acids from Nightingale Health data. Biomarker group: Fatty acids	2021-02-26T00:00:00	2021-09-03T00:00:00	121633	123059	0	2	1	2
23449	Linoleic Acid	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Linoleic Acid from Nightingale Health data. Biomarker group: Fatty acids	2021-02-26T00:00:00	2021-09-03T00:00:00	121633	123059	0	2	1	2
23450	Docosahexaenoic Acid	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Docosahexaenoic Acid from Nightingale Health data. Biomarker group: Fatty acids	2021-02-26T00:00:00	2021-09-03T00:00:00	121633	123059	0	2	1	2
23451	Omega-3 Fatty Acids to Total Fatty Acids percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Omega-3 Fatty Acids to Total Fatty Acids from Nightingale Health data. Biomarker group: Fatty acids, Biomarker sub-group: Fatty acid ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121633	123059	0	2	1	2
23452	Omega-6 Fatty Acids to Total Fatty Acids percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Omega-6 Fatty Acids to Total Fatty Acids from Nightingale Health data. Biomarker group: Fatty acids, Biomarker sub-group: Fatty acid ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121633	123059	0	2	1	2
23453	Polyunsaturated Fatty Acids to Total Fatty Acids percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Polyunsaturated Fatty Acids to Total Fatty Acids from Nightingale Health data. Biomarker group: Fatty acids, Biomarker sub-group: Fatty acid ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121633	123059	0	2	1	2
23454	Monounsaturated Fatty Acids to Total Fatty Acids percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Monounsaturated Fatty Acids to Total Fatty Acids from Nightingale Health data. Biomarker group: Fatty acids, Biomarker sub-group: Fatty acid ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121633	123059	0	2	1	2
23455	Saturated Fatty Acids to Total Fatty Acids percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Saturated Fatty Acids to Total Fatty Acids from Nightingale Health data. Biomarker group: Fatty acids, Biomarker sub-group: Fatty acid ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121633	123059	0	2	1	2
23456	Linoleic Acid to Total Fatty Acids percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Linoleic Acid to Total Fatty Acids from Nightingale Health data. Biomarker group: Fatty acids, Biomarker sub-group: Fatty acid ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121633	123059	0	2	1	2
23457	Docosahexaenoic Acid to Total Fatty Acids percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Docosahexaenoic Acid to Total Fatty Acids from Nightingale Health data. Biomarker group: Fatty acids, Biomarker sub-group: Fatty acid ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121633	123059	0	2	1	2
23458	Polyunsaturated Fatty Acids to Monounsaturated Fatty Acids ratio	0	2	0	31	0	0	0	1	0	0	ratio	220	0	2	0	1	0	0	Ratio of Polyunsaturated Fatty Acids to Monounsaturated Fatty Acids from Nightingale Health data. Biomarker group: Fatty acids, Biomarker sub-group: Fatty acid ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121633	123059	0	2	1	2
23459	Omega-6 Fatty Acids to Omega-3 Fatty Acids ratio	0	2	0	31	0	0	0	1	0	0	ratio	220	0	2	0	1	0	0	Ratio of Omega-6 Fatty Acids to Omega-3 Fatty Acids from Nightingale Health data. Biomarker group: Fatty acids, Biomarker sub-group: Fatty acid ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121633	123059	0	2	1	2
23460	Alanine	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Alanine from Nightingale Health data. Biomarker group: Amino acids	2021-02-26T00:00:00	2021-09-03T00:00:00	121712	123138	0	2	1	2
23461	Glutamine	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Glutamine from Nightingale Health data. Biomarker group: Amino acids	2021-02-26T00:00:00	2021-09-03T00:00:00	121367	122790	0	2	1	2
23462	Glycine	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Glycine from Nightingale Health data. Biomarker group: Amino acids	2021-02-26T00:00:00	2021-09-03T00:00:00	121606	123031	0	2	1	2
23463	Histidine	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Histidine from Nightingale Health data. Biomarker group: Amino acids	2021-02-26T00:00:00	2021-09-03T00:00:00	121521	122942	0	2	1	2
23464	Total Concentration of Branched-Chain Amino Acids (Leucine + Isoleucine + Valine)	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Concentration of Branched-Chain Amino Acids (Leucine + Isoleucine + Valine) from Nightingale Health data. Biomarker group: Amino acids, Biomarker subgroup: Branched-chain amino acids	2021-02-26T00:00:00	2021-09-03T00:00:00	121684	123110	0	2	1	2
23465	Isoleucine	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Isoleucine from Nightingale Health data. Biomarker group: Amino acids, Biomarker subgroup: Branched-chain amino acids	2021-02-26T00:00:00	2021-09-03T00:00:00	121713	123139	0	2	1	2
23466	Leucine	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Leucine from Nightingale Health data. Biomarker group: Amino acids, Biomarker subgroup: Branched-chain amino acids	2021-02-26T00:00:00	2021-09-03T00:00:00	121712	123138	0	2	1	2
23467	Valine	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Valine from Nightingale Health data. Biomarker group: Amino acids, Biomarker subgroup: Branched-chain amino acids	2021-02-26T00:00:00	2021-09-03T00:00:00	121685	123111	0	2	1	2
23468	Phenylalanine	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Phenylalanine from Nightingale Health data. Biomarker group: Amino acids, Biomarker subgroup: Aromatic amino acids	2021-02-26T00:00:00	2021-09-03T00:00:00	121660	123085	0	2	1	2
23469	Tyrosine	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Tyrosine from Nightingale Health data. Biomarker group: Amino acids, Biomarker subgroup: Aromatic amino acids	2021-02-26T00:00:00	2021-09-03T00:00:00	121539	122961	0	2	1	2
23470	Glucose	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Glucose from Nightingale Health data. Biomarker group: Glycolysis related metabolites	2021-02-26T00:00:00	2021-09-03T00:00:00	121496	122918	0	2	1	2
23471	Lactate	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Lactate from Nightingale Health data. Biomarker group: Glycolysis related metabolites	2021-02-26T00:00:00	2021-09-03T00:00:00	121425	122846	0	2	1	2
23472	Pyruvate	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Pyruvate from Nightingale Health data. Biomarker group: Glycolysis related metabolites	2021-02-26T00:00:00	2021-09-03T00:00:00	121366	122789	0	2	1	2
23473	Citrate	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Citrate from Nightingale Health data. Biomarker group: Glycolysis related metabolites	2021-02-26T00:00:00	2021-09-03T00:00:00	121699	123125	0	2	1	2
23474	3-Hydroxybutyrate	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	3-Hydroxybutyrate from Nightingale Health data. Biomarker group: Ketone bodies	2021-02-26T00:00:00	2021-09-03T00:00:00	120185	121585	0	2	1	2
23475	Acetate	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Acetate from Nightingale Health data. Biomarker group: Ketone bodies	2021-02-26T00:00:00	2021-09-03T00:00:00	121679	123104	0	2	1	2
23476	Acetoacetate	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Acetoacetate from Nightingale Health data. Biomarker group: Ketone bodies	2021-02-26T00:00:00	2021-09-03T00:00:00	121713	123139	0	2	1	2
23477	Acetone	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Acetone from Nightingale Health data. Biomarker group: Ketone bodies	2021-02-26T00:00:00	2021-09-03T00:00:00	121713	123139	0	2	1	2
23478	Creatinine	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Creatinine from Nightingale Health data. Biomarker group: Fluid balance	2021-02-26T00:00:00	2021-09-03T00:00:00	116383	117684	0	2	1	2
23479	Albumin	0	2	0	31	0	0	0	1	0	0	g/l	220	0	2	0	1	0	0	Albumin from Nightingale Health data. Biomarker group: Fluid balance	2021-02-26T00:00:00	2021-09-03T00:00:00	121699	123125	0	2	1	2
23480	Glycoprotein Acetyls	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Glycoprotein Acetyls from Nightingale Health data. Biomarker group: Inflammation	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23481	Concentration of Chylomicrons and Extremely Large VLDL Particles	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Concentration of Chylomicrons and Extremely Large VLDL Particles from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Chylomicrons and extremely large VLDL (particle diameters from 75 nm upwards)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23482	Total Lipids in Chylomicrons and Extremely Large VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Lipids in Chylomicrons and Extremely Large VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Chylomicrons and extremely large VLDL (particle diameters from 75 nm upwards)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23483	Phospholipids in Chylomicrons and Extremely Large VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Phospholipids in Chylomicrons and Extremely Large VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Chylomicrons and extremely large VLDL (particle diameters from 75 nm upwards)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23484	Cholesterol in Chylomicrons and Extremely Large VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesterol in Chylomicrons and Extremely Large VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Chylomicrons and extremely large VLDL (particle diameters from 75 nm upwards)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23485	Cholesteryl Esters in Chylomicrons and Extremely Large VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesteryl Esters in Chylomicrons and Extremely Large VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Chylomicrons and extremely large VLDL (particle diameters from 75 nm upwards)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23486	Free Cholesterol in Chylomicrons and Extremely Large VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Free Cholesterol in Chylomicrons and Extremely Large VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Chylomicrons and extremely large VLDL (particle diameters from 75 nm upwards)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23487	Triglycerides in Chylomicrons and Extremely Large VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Triglycerides in Chylomicrons and Extremely Large VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Chylomicrons and extremely large VLDL (particle diameters from 75 nm upwards)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23488	Concentration of Very Large VLDL Particles	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Concentration of Very Large VLDL Particles from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Very large VLDL (average diameter 64 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23489	Total Lipids in Very Large VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Lipids in Very Large VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Very large VLDL (average diameter 64 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23490	Phospholipids in Very Large VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Phospholipids in Very Large VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Very large VLDL (average diameter 64 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23491	Cholesterol in Very Large VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesterol in Very Large VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Very large VLDL (average diameter 64 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23492	Cholesteryl Esters in Very Large VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesteryl Esters in Very Large VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Very large VLDL (average diameter 64 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23493	Free Cholesterol in Very Large VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Free Cholesterol in Very Large VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Very large VLDL (average diameter 64 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23494	Triglycerides in Very Large VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Triglycerides in Very Large VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Very large VLDL (average diameter 64 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23495	Concentration of Large VLDL Particles	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Concentration of Large VLDL Particles from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Large VLDL (average diameter 53.6 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23496	Total Lipids in Large VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Lipids in Large VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Large VLDL (average diameter 53.6 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23497	Phospholipids in Large VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Phospholipids in Large VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Large VLDL (average diameter 53.6 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23498	Cholesterol in Large VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesterol in Large VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Large VLDL (average diameter 53.6 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23499	Cholesteryl Esters in Large VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesteryl Esters in Large VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Large VLDL (average diameter 53.6 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23500	Free Cholesterol in Large VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Free Cholesterol in Large VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Large VLDL (average diameter 53.6 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23501	Triglycerides in Large VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Triglycerides in Large VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Large VLDL (average diameter 53.6 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23502	Concentration of Medium VLDL Particles	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Concentration of Medium VLDL Particles from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Medium VLDL (average diameter 44.5 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23503	Total Lipids in Medium VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Lipids in Medium VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Medium VLDL (average diameter 44.5 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23504	Phospholipids in Medium VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Phospholipids in Medium VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Medium VLDL (average diameter 44.5 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23505	Cholesterol in Medium VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesterol in Medium VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Medium VLDL (average diameter 44.5 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23506	Cholesteryl Esters in Medium VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesteryl Esters in Medium VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Medium VLDL (average diameter 44.5 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23507	Free Cholesterol in Medium VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Free Cholesterol in Medium VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Medium VLDL (average diameter 44.5 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23508	Triglycerides in Medium VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Triglycerides in Medium VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Medium VLDL (average diameter 44.5 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23509	Concentration of Small VLDL Particles	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Concentration of Small VLDL Particles from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Small VLDL (average diameter 36.8 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23510	Total Lipids in Small VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Lipids in Small VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Small VLDL (average diameter 36.8 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23511	Phospholipids in Small VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Phospholipids in Small VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Small VLDL (average diameter 36.8 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23512	Cholesterol in Small VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesterol in Small VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Small VLDL (average diameter 36.8 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23513	Cholesteryl Esters in Small VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesteryl Esters in Small VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Small VLDL (average diameter 36.8 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23514	Free Cholesterol in Small VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Free Cholesterol in Small VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Small VLDL (average diameter 36.8 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23515	Triglycerides in Small VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Triglycerides in Small VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Small VLDL (average diameter 36.8 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23516	Concentration of Very Small VLDL Particles	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Concentration of Very Small VLDL Particles from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Very small VLDL (average diameter 31.3 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23517	Total Lipids in Very Small VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Lipids in Very Small VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Very small VLDL (average diameter 31.3 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23518	Phospholipids in Very Small VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Phospholipids in Very Small VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Very small VLDL (average diameter 31.3 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23519	Cholesterol in Very Small VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesterol in Very Small VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Very small VLDL (average diameter 31.3 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23520	Cholesteryl Esters in Very Small VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesteryl Esters in Very Small VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Very small VLDL (average diameter 31.3 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23521	Free Cholesterol in Very Small VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Free Cholesterol in Very Small VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Very small VLDL (average diameter 31.3 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23522	Triglycerides in Very Small VLDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Triglycerides in Very Small VLDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Very small VLDL (average diameter 31.3 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23523	Concentration of IDL Particles	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Concentration of IDL Particles from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: IDL (average diameter 28.6 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23524	Total Lipids in IDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Lipids in IDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: IDL (average diameter 28.6 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23525	Phospholipids in IDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Phospholipids in IDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: IDL (average diameter 28.6 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23526	Cholesterol in IDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesterol in IDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: IDL (average diameter 28.6 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23527	Cholesteryl Esters in IDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesteryl Esters in IDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: IDL (average diameter 28.6 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23528	Free Cholesterol in IDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Free Cholesterol in IDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: IDL (average diameter 28.6 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23529	Triglycerides in IDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Triglycerides in IDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: IDL (average diameter 28.6 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23530	Concentration of Large LDL Particles	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Concentration of Large LDL Particles from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Large LDL (average diameter 25.5 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23531	Total Lipids in Large LDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Lipids in Large LDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Large LDL (average diameter 25.5 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23532	Phospholipids in Large LDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Phospholipids in Large LDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Large LDL (average diameter 25.5 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23533	Cholesterol in Large LDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesterol in Large LDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Large LDL (average diameter 25.5 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23534	Cholesteryl Esters in Large LDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesteryl Esters in Large LDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Large LDL (average diameter 25.5 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23535	Free Cholesterol in Large LDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Free Cholesterol in Large LDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Large LDL (average diameter 25.5 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23536	Triglycerides in Large LDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Triglycerides in Large LDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Large LDL (average diameter 25.5 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23537	Concentration of Medium LDL Particles	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Concentration of Medium LDL Particles from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Medium LDL (average diameter 23 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23538	Total Lipids in Medium LDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Lipids in Medium LDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Medium LDL (average diameter 23 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23539	Phospholipids in Medium LDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Phospholipids in Medium LDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Medium LDL (average diameter 23 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23540	Cholesterol in Medium LDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesterol in Medium LDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Medium LDL (average diameter 23 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23541	Cholesteryl Esters in Medium LDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesteryl Esters in Medium LDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Medium LDL (average diameter 23 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23542	Free Cholesterol in Medium LDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Free Cholesterol in Medium LDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Medium LDL (average diameter 23 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23543	Triglycerides in Medium LDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Triglycerides in Medium LDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Medium LDL (average diameter 23 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23544	Concentration of Small LDL Particles	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Concentration of Small LDL Particles from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Small LDL (average diameter 18.7 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23545	Total Lipids in Small LDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Lipids in Small LDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Small LDL (average diameter 18.7 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23546	Phospholipids in Small LDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Phospholipids in Small LDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Small LDL (average diameter 18.7 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23547	Cholesterol in Small LDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesterol in Small LDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Small LDL (average diameter 18.7 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23548	Cholesteryl Esters in Small LDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesteryl Esters in Small LDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Small LDL (average diameter 18.7 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23549	Free Cholesterol in Small LDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Free Cholesterol in Small LDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Small LDL (average diameter 18.7 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23550	Triglycerides in Small LDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Triglycerides in Small LDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Small LDL (average diameter 18.7 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23551	Concentration of Very Large HDL Particles	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Concentration of Very Large HDL Particles from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Very large HDL (average diameter 14.3 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23552	Total Lipids in Very Large HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Lipids in Very Large HDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Very large HDL (average diameter 14.3 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23553	Phospholipids in Very Large HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Phospholipids in Very Large HDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Very large HDL (average diameter 14.3 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23554	Cholesterol in Very Large HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesterol in Very Large HDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Very large HDL (average diameter 14.3 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23555	Cholesteryl Esters in Very Large HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesteryl Esters in Very Large HDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Very large HDL (average diameter 14.3 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23556	Free Cholesterol in Very Large HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Free Cholesterol in Very Large HDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Very large HDL (average diameter 14.3 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23557	Triglycerides in Very Large HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Triglycerides in Very Large HDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Very large HDL (average diameter 14.3 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23558	Concentration of Large HDL Particles	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Concentration of Large HDL Particles from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Large HDL (average diameter 12.1 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23559	Total Lipids in Large HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Lipids in Large HDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Large HDL (average diameter 12.1 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23560	Phospholipids in Large HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Phospholipids in Large HDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Large HDL (average diameter 12.1 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23561	Cholesterol in Large HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesterol in Large HDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Large HDL (average diameter 12.1 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23562	Cholesteryl Esters in Large HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesteryl Esters in Large HDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Large HDL (average diameter 12.1 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23563	Free Cholesterol in Large HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Free Cholesterol in Large HDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Large HDL (average diameter 12.1 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23564	Triglycerides in Large HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Triglycerides in Large HDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Large HDL (average diameter 12.1 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23565	Concentration of Medium HDL Particles	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Concentration of Medium HDL Particles from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Medium HDL (average diameter 10.9 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23566	Total Lipids in Medium HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Lipids in Medium HDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Medium HDL (average diameter 10.9 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23567	Phospholipids in Medium HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Phospholipids in Medium HDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Medium HDL (average diameter 10.9 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23568	Cholesterol in Medium HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesterol in Medium HDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Medium HDL (average diameter 10.9 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23569	Cholesteryl Esters in Medium HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesteryl Esters in Medium HDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Medium HDL (average diameter 10.9 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23570	Free Cholesterol in Medium HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Free Cholesterol in Medium HDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Medium HDL (average diameter 10.9 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23571	Triglycerides in Medium HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Triglycerides in Medium HDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Medium HDL (average diameter 10.9 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23572	Concentration of Small HDL Particles	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Concentration of Small HDL Particles from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Small HDL (average diameter 8.7 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23573	Total Lipids in Small HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Total Lipids in Small HDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Small HDL (average diameter 8.7 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23574	Phospholipids in Small HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Phospholipids in Small HDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Small HDL (average diameter 8.7 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23575	Cholesterol in Small HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesterol in Small HDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Small HDL (average diameter 8.7 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23576	Cholesteryl Esters in Small HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Cholesteryl Esters in Small HDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Small HDL (average diameter 8.7 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23577	Free Cholesterol in Small HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Free Cholesterol in Small HDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Small HDL (average diameter 8.7 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23578	Triglycerides in Small HDL	0	2	0	31	0	0	0	1	0	0	mmol/l	220	0	2	0	1	0	0	Triglycerides in Small HDL from Nightingale Health data. Biomarker group: Lipoprotein subclasses, Biomarker subgroup: Small HDL (average diameter 8.7 nm)	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23579	Phospholipids to Total Lipids in Chylomicrons and Extremely Large VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Phospholipids to Total Lipids in Chylomicrons and Extremely Large VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Chylomicrons and extremely large VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	117967	119319	0	2	1	2
23580	Cholesterol to Total Lipids in Chylomicrons and Extremely Large VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesterol to Total Lipids in Chylomicrons and Extremely Large VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Chylomicrons and extremely large VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	117967	119319	0	2	1	2
23581	Cholesteryl Esters to Total Lipids in Chylomicrons and Extremely Large VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesteryl Esters to Total Lipids in Chylomicrons and Extremely Large VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Chylomicrons and extremely large VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	117967	119319	0	2	1	2
23582	Free Cholesterol to Total Lipids in Chylomicrons and Extremely Large VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Free Cholesterol to Total Lipids in Chylomicrons and Extremely Large VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Chylomicrons and extremely large VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	117967	119319	0	2	1	2
23583	Triglycerides to Total Lipids in Chylomicrons and Extremely Large VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Triglycerides to Total Lipids in Chylomicrons and Extremely Large VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Chylomicrons and extremely large VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	117967	119319	0	2	1	2
23584	Phospholipids to Total Lipids in Very Large VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Phospholipids to Total Lipids in Very Large VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Very large VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	120692	122105	0	2	1	2
23585	Cholesterol to Total Lipids in Very Large VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesterol to Total Lipids in Very Large VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Very large VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	120692	122105	0	2	1	2
23586	Cholesteryl Esters to Total Lipids in Very Large VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesteryl Esters to Total Lipids in Very Large VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Very large VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	120692	122105	0	2	1	2
23587	Free Cholesterol to Total Lipids in Very Large VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Free Cholesterol to Total Lipids in Very Large VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Very large VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	120692	122105	0	2	1	2
23588	Triglycerides to Total Lipids in Very Large VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Triglycerides to Total Lipids in Very Large VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Very large VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	120692	122105	0	2	1	2
23589	Phospholipids to Total Lipids in Large VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Phospholipids to Total Lipids in Large VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Large VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121703	123129	0	2	1	2
23590	Cholesterol to Total Lipids in Large VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesterol to Total Lipids in Large VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Large VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121703	123129	0	2	1	2
23591	Cholesteryl Esters to Total Lipids in Large VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesteryl Esters to Total Lipids in Large VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Large VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121703	123129	0	2	1	2
23592	Free Cholesterol to Total Lipids in Large VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Free Cholesterol to Total Lipids in Large VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Large VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121703	123129	0	2	1	2
23593	Triglycerides to Total Lipids in Large VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Triglycerides to Total Lipids in Large VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Large VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121703	123129	0	2	1	2
23594	Phospholipids to Total Lipids in Medium VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Phospholipids to Total Lipids in Medium VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Medium VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23595	Cholesterol to Total Lipids in Medium VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesterol to Total Lipids in Medium VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Medium VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23596	Cholesteryl Esters to Total Lipids in Medium VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesteryl Esters to Total Lipids in Medium VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Medium VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23597	Free Cholesterol to Total Lipids in Medium VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Free Cholesterol to Total Lipids in Medium VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Medium VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23598	Triglycerides to Total Lipids in Medium VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Triglycerides to Total Lipids in Medium VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Medium VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23599	Phospholipids to Total Lipids in Small VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Phospholipids to Total Lipids in Small VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Small VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23600	Cholesterol to Total Lipids in Small VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesterol to Total Lipids in Small VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Small VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23601	Cholesteryl Esters to Total Lipids in Small VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesteryl Esters to Total Lipids in Small VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Small VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23602	Free Cholesterol to Total Lipids in Small VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Free Cholesterol to Total Lipids in Small VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Small VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23603	Triglycerides to Total Lipids in Small VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Triglycerides to Total Lipids in Small VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Small VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23604	Phospholipids to Total Lipids in Very Small VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Phospholipids to Total Lipids in Very Small VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Very small VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23605	Cholesterol to Total Lipids in Very Small VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesterol to Total Lipids in Very Small VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Very small VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23606	Cholesteryl Esters to Total Lipids in Very Small VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesteryl Esters to Total Lipids in Very Small VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Very small VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23607	Free Cholesterol to Total Lipids in Very Small VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Free Cholesterol to Total Lipids in Very Small VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Very small VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23608	Triglycerides to Total Lipids in Very Small VLDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Triglycerides to Total Lipids in Very Small VLDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Very small VLDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23609	Phospholipids to Total Lipids in IDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Phospholipids to Total Lipids in IDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: IDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23610	Cholesterol to Total Lipids in IDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesterol to Total Lipids in IDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: IDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23611	Cholesteryl Esters to Total Lipids in IDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesteryl Esters to Total Lipids in IDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: IDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23612	Free Cholesterol to Total Lipids in IDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Free Cholesterol to Total Lipids in IDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: IDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23613	Triglycerides to Total Lipids in IDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Triglycerides to Total Lipids in IDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: IDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23614	Phospholipids to Total Lipids in Large LDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Phospholipids to Total Lipids in Large LDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Large LDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23615	Cholesterol to Total Lipids in Large LDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesterol to Total Lipids in Large LDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Large LDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23616	Cholesteryl Esters to Total Lipids in Large LDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesteryl Esters to Total Lipids in Large LDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Large LDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23617	Free Cholesterol to Total Lipids in Large LDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Free Cholesterol to Total Lipids in Large LDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Large LDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23618	Triglycerides to Total Lipids in Large LDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Triglycerides to Total Lipids in Large LDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Large LDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23619	Phospholipids to Total Lipids in Medium LDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Phospholipids to Total Lipids in Medium LDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Medium LDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23620	Cholesterol to Total Lipids in Medium LDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesterol to Total Lipids in Medium LDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Medium LDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23621	Cholesteryl Esters to Total Lipids in Medium LDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesteryl Esters to Total Lipids in Medium LDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Medium LDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23622	Free Cholesterol to Total Lipids in Medium LDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Free Cholesterol to Total Lipids in Medium LDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Medium LDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23623	Triglycerides to Total Lipids in Medium LDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Triglycerides to Total Lipids in Medium LDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Medium LDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23624	Phospholipids to Total Lipids in Small LDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Phospholipids to Total Lipids in Small LDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Small LDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23625	Cholesterol to Total Lipids in Small LDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesterol to Total Lipids in Small LDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Small LDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23626	Cholesteryl Esters to Total Lipids in Small LDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesteryl Esters to Total Lipids in Small LDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Small LDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23627	Free Cholesterol to Total Lipids in Small LDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Free Cholesterol to Total Lipids in Small LDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Small LDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23628	Triglycerides to Total Lipids in Small LDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Triglycerides to Total Lipids in Small LDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Small LDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23629	Phospholipids to Total Lipids in Very Large HDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Phospholipids to Total Lipids in Very Large HDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Very large HDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121688	123114	0	2	1	2
23630	Cholesterol to Total Lipids in Very Large HDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesterol to Total Lipids in Very Large HDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Very large HDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121688	123114	0	2	1	2
23631	Cholesteryl Esters to Total Lipids in Very Large HDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesteryl Esters to Total Lipids in Very Large HDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Very large HDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121688	123114	0	2	1	2
23632	Free Cholesterol to Total Lipids in Very Large HDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Free Cholesterol to Total Lipids in Very Large HDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Very large HDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121688	123114	0	2	1	2
23633	Triglycerides to Total Lipids in Very Large HDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Triglycerides to Total Lipids in Very Large HDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Very large HDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121688	123114	0	2	1	2
23634	Phospholipids to Total Lipids in Large HDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Phospholipids to Total Lipids in Large HDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Large HDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23635	Cholesterol to Total Lipids in Large HDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesterol to Total Lipids in Large HDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Large HDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23636	Cholesteryl Esters to Total Lipids in Large HDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesteryl Esters to Total Lipids in Large HDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Large HDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23637	Free Cholesterol to Total Lipids in Large HDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Free Cholesterol to Total Lipids in Large HDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Large HDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23638	Triglycerides to Total Lipids in Large HDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Triglycerides to Total Lipids in Large HDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Large HDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23639	Phospholipids to Total Lipids in Medium HDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Phospholipids to Total Lipids in Medium HDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Medium HDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23640	Cholesterol to Total Lipids in Medium HDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesterol to Total Lipids in Medium HDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Medium HDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23641	Cholesteryl Esters to Total Lipids in Medium HDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesteryl Esters to Total Lipids in Medium HDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Medium HDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23642	Free Cholesterol to Total Lipids in Medium HDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Free Cholesterol to Total Lipids in Medium HDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Medium HDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23643	Triglycerides to Total Lipids in Medium HDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Triglycerides to Total Lipids in Medium HDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Medium HDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23644	Phospholipids to Total Lipids in Small HDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Phospholipids to Total Lipids in Small HDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Small HDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23645	Cholesterol to Total Lipids in Small HDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesterol to Total Lipids in Small HDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Small HDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23646	Cholesteryl Esters to Total Lipids in Small HDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Cholesteryl Esters to Total Lipids in Small HDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Small HDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23647	Free Cholesterol to Total Lipids in Small HDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Free Cholesterol to Total Lipids in Small HDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Small HDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23648	Triglycerides to Total Lipids in Small HDL percentage	0	2	0	31	0	0	0	1	0	0	percent	220	0	2	0	1	0	0	Percentage of Triglycerides to Total Lipids in Small HDL from Nightingale Health data. Biomarker group: Relative lipoprotein lipid concentrations, Biomarker sub-group: Small HDL ratios	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23649	Shipment Plate	0	2	0	41	0	0	2	1	0	0		222	0	2	0	1	0	0	Shipment plate containing sample aliquot	2021-02-26T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23650	Spectrometer	0	2	0	21	11	0	2	1	0	0		222	2301	2	0	1	0	0	Spectrometer used to process sample	2021-02-26T00:00:00	2021-07-22T00:00:00	121716	123142	0	2	1	2
23651	Measurement Quality Flagged	0	2	0	21	11	0	2	1	0	0		222	2302	2	0	1	0	0	Sample QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	0	0	0	2	1	2
23652	High Lactate	0	2	0	21	11	0	2	1	0	0		222	1	2	0	1	0	0	Sample QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-07-22T00:00:00	15293	15297	0	2	1	2
23653	High Pyruvate	0	2	0	21	11	0	2	1	0	0		222	1	2	0	0	0	0	Sample QC Flag from Nightingale Health data.	2021-02-26T00:00:00	2021-02-26T00:00:00	36	36	0	2	1	2
23654	Low Glucose	0	2	0	21	11	0	2	1	0	0		222	1	2	0	0	0	0	Sample QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	88	88	0	2	1	2
23655	Low Protein	0	2	0	21	11	0	2	1	0	0		222	1	2	0	1	0	0	Sample QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-07-22T00:00:00	875	875	0	2	1	2
23658	Sample Measured Date and Time	0	2	0	61	0	0	0	1	0	0		222	0	2	0	1	0	0	Date and time of sample measurement, from Nightingale Health data. Values are provided in co-ordinated universal time format, UTC + 0.	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23659	Sample Prepared Date and Time	0	2	0	61	0	0	0	1	0	0		222	0	2	0	1	0	0	Date and time of sample preparation, from Nightingale Health data. Values are provided in co-ordinated universal time format, UTC + 0.	2021-06-18T00:00:00	2021-09-03T00:00:00	121716	123142	0	2	1	2
23660	Well position within plate	0	2	0	41	0	0	2	1	0	0		222	0	2	0	1	0	0	Position of well containing sample aliquot. Measurements were conducted using 96-well plates.	2021-07-22T00:00:00	2021-07-22T00:00:00	121716	123142	0	2	1	2
23700	Total Cholesterol, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Cholesterol, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23701	Total Cholesterol Minus HDL-C, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Cholesterol Minus HDL-C, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23702	Remnant Cholesterol (Non-HDL, Non-LDL -Cholesterol), QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Remnant Cholesterol (Non-HDL, Non-LDL -Cholesterol), QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23703	VLDL Cholesterol, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	VLDL Cholesterol, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23704	Clinical LDL Cholesterol, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Clinical LDL Cholesterol, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	4	4	0	2	1	2
23705	LDL Cholesterol, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	LDL Cholesterol, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	4	4	0	2	1	2
23706	HDL Cholesterol, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	HDL Cholesterol, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23707	Total Triglycerides, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Triglycerides, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23708	Triglycerides in VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Triglycerides in VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23709	Triglycerides in LDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Triglycerides in LDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23710	Triglycerides in HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Triglycerides in HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23711	Total Phospholipids in Lipoprotein Particles, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Phospholipids in Lipoprotein Particles, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23712	Phospholipids in VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Phospholipids in VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23713	Phospholipids in LDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Phospholipids in LDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23714	Phospholipids in HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Phospholipids in HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23715	Total Esterified Cholesterol, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Esterified Cholesterol, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23716	Cholesteryl Esters in VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Cholesteryl Esters in VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23717	Cholesteryl Esters in LDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Cholesteryl Esters in LDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	4	4	0	2	1	2
23718	Cholesteryl Esters in HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Cholesteryl Esters in HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23719	Total Free Cholesterol, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Free Cholesterol, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23720	Free Cholesterol in VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Free Cholesterol in VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23721	Free Cholesterol in LDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Free Cholesterol in LDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	12	12	0	2	1	2
23722	Free Cholesterol in HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Free Cholesterol in HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23723	Total Lipids in Lipoprotein Particles, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Lipids in Lipoprotein Particles, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23724	Total Lipids in VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Lipids in VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23725	Total Lipids in LDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Lipids in LDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23726	Total Lipids in HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Lipids in HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23727	Total Concentration of Lipoprotein Particles, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Concentration of Lipoprotein Particles, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23728	Concentration of VLDL Particles, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Concentration of VLDL Particles, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23729	Concentration of LDL Particles, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Concentration of LDL Particles, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23730	Concentration of HDL Particles, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Concentration of HDL Particles, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23731	Average Diameter for VLDL Particles, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Average Diameter for VLDL Particles, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23732	Average Diameter for LDL Particles, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Average Diameter for LDL Particles, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23733	Average Diameter for HDL Particles, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Average Diameter for HDL Particles, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23734	Phosphoglycerides, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Phosphoglycerides, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	1	1	0	2	1	2
23735	Triglycerides to Phosphoglycerides ratio, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Ratio of Triglycerides to Phosphoglycerides, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	1	1	0	2	1	2
23736	Total Cholines, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Cholines, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	1	1	0	2	1	2
23737	Phosphatidylcholines, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Phosphatidylcholines, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	1	1	0	2	1	2
23738	Sphingomyelins, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Sphingomyelins, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	1	1	0	2	1	2
23739	Apolipoprotein B, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Apolipoprotein B, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23740	Apolipoprotein A1, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Apolipoprotein A1, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23741	Apolipoprotein B to Apolipoprotein A1 ratio, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Ratio of Apolipoprotein B to Apolipoprotein A1, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23742	Total Fatty Acids, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Fatty Acids, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	1	1	0	2	1	2
23743	Degree of Unsaturation, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Degree of Unsaturation, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	1	1	0	2	1	2
23744	Omega-3 Fatty Acids, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Omega-3 Fatty Acids, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	1	1	0	2	1	2
23745	Omega-6 Fatty Acids, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Omega-6 Fatty Acids, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	1	1	0	2	1	2
23746	Polyunsaturated Fatty Acids, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Polyunsaturated Fatty Acids, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	1	1	0	2	1	2
23747	Monounsaturated Fatty Acids, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Monounsaturated Fatty Acids, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	1	1	0	2	1	2
23748	Saturated Fatty Acids, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Saturated Fatty Acids, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	1	1	0	2	1	2
23749	Linoleic Acid, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Linoleic Acid, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	1	1	0	2	1	2
23750	Docosahexaenoic Acid, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Docosahexaenoic Acid, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	1	1	0	2	1	2
23751	Omega-3 Fatty Acids to Total Fatty Acids percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Omega-3 Fatty Acids to Total Fatty Acids, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	1	1	0	2	1	2
23752	Omega-6 Fatty Acids to Total Fatty Acids percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Omega-6 Fatty Acids to Total Fatty Acids, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	1	1	0	2	1	2
23753	Polyunsaturated Fatty Acids to Total Fatty Acids percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Polyunsaturated Fatty Acids to Total Fatty Acids, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	1	1	0	2	1	2
23754	Monounsaturated Fatty Acids to Total Fatty Acids percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Monounsaturated Fatty Acids to Total Fatty Acids, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	1	1	0	2	1	2
23755	Saturated Fatty Acids to Total Fatty Acids percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Saturated Fatty Acids to Total Fatty Acids, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	1	1	0	2	1	2
23756	Linoleic Acid to Total Fatty Acids percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Linoleic Acid to Total Fatty Acids, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	1	1	0	2	1	2
23757	Docosahexaenoic Acid to Total Fatty Acids percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Docosahexaenoic Acid to Total Fatty Acids, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	1	1	0	2	1	2
23758	Polyunsaturated Fatty Acids to Monounsaturated Fatty Acids ratio, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Ratio of Polyunsaturated Fatty Acids to Monounsaturated Fatty Acids, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	1	1	0	2	1	2
23759	Omega-6 Fatty Acids to Omega-3 Fatty Acids ratio, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Ratio of Omega-6 Fatty Acids to Omega-3 Fatty Acids, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	1	1	0	2	1	2
23760	Alanine, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Alanine, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	1	1	0	2	1	2
23761	Glutamine, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Glutamine, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	346	346	0	2	1	2
23762	Glycine, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Glycine, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	747	747	0	2	1	2
23763	Histidine, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Histidine, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	3	3	0	2	1	2
23764	Total Concentration of Branched-Chain Amino Acids (Leucine + Isoleucine + Valine), QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Concentration of Branched-Chain Amino Acids (Leucine + Isoleucine + Valine), QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	14	14	0	2	1	2
23765	Isoleucine, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Isoleucine, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23766	Leucine, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Leucine, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	1	1	0	2	1	2
23767	Valine, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Valine, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	28	28	0	2	1	2
23768	Phenylalanine, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Phenylalanine, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	14	14	0	2	1	2
23769	Tyrosine, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Tyrosine, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	2	2	0	2	1	2
23770	Glucose, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Glucose, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	19	19	0	2	1	2
23771	Lactate, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Lactate, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23772	Pyruvate, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Pyruvate, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	348	348	0	2	1	2
23773	Citrate, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Citrate, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	4	4	0	2	1	2
23774	3-Hydroxybutyrate, QC Flag	0	2	0	21	11	0	2	1	1	0		221	2310	2	0	1	0	1	3-Hydroxybutyrate, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-07-22T00:00:00	8534	8609	0	2	1	2
23775	Acetate, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Acetate, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	558	558	0	2	1	2
23776	Acetoacetate, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Acetoacetate, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-07-22T00:00:00	1276	1276	0	2	1	2
23777	Acetone, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Acetone, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23778	Creatinine, QC Flag	0	2	0	21	11	0	2	1	1	0		221	2310	2	0	1	0	1	Creatinine, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	5518	5527	0	2	1	2
23779	Albumin, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Albumin, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23780	Glycoprotein Acetyls, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Glycoprotein Acetyls, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23781	Concentration of Chylomicrons and Extremely Large VLDL Particles, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Concentration of Chylomicrons and Extremely Large VLDL Particles, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23782	Total Lipids in Chylomicrons and Extremely Large VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Total Lipids in Chylomicrons and Extremely Large VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-07-22T00:00:00	3819	3822	0	2	1	2
23783	Phospholipids in Chylomicrons and Extremely Large VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Phospholipids in Chylomicrons and Extremely Large VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-09-03T00:00:00	26286	26444	0	2	1	2
23784	Cholesterol in Chylomicrons and Extremely Large VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Cholesterol in Chylomicrons and Extremely Large VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-07-22T00:00:00	12035	12084	0	2	1	2
23785	Cholesteryl Esters in Chylomicrons and Extremely Large VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Cholesteryl Esters in Chylomicrons and Extremely Large VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-09-03T00:00:00	22903	23050	0	2	1	2
23786	Free Cholesterol in Chylomicrons and Extremely Large VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Free Cholesterol in Chylomicrons and Extremely Large VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-09-03T00:00:00	28396	28572	0	2	1	2
23787	Triglycerides in Chylomicrons and Extremely Large VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Triglycerides in Chylomicrons and Extremely Large VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-09-03T00:00:00	10852	10882	0	2	1	2
23788	Concentration of Very Large VLDL Particles, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Concentration of Very Large VLDL Particles, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23789	Total Lipids in Very Large VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Total Lipids in Very Large VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	1034	1037	0	2	1	2
23790	Phospholipids in Very Large VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Phospholipids in Very Large VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-07-22T00:00:00	13007	13061	0	2	1	2
23791	Cholesterol in Very Large VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Cholesterol in Very Large VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-07-22T00:00:00	3545	3551	0	2	1	2
23792	Cholesteryl Esters in Very Large VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Cholesteryl Esters in Very Large VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-07-22T00:00:00	8247	8276	0	2	1	2
23793	Free Cholesterol in Very Large VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Free Cholesterol in Very Large VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-09-03T00:00:00	20489	20606	0	2	1	2
23794	Triglycerides in Very Large VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Triglycerides in Very Large VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	3852	3861	0	2	1	2
23795	Concentration of Large VLDL Particles, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Concentration of Large VLDL Particles, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23796	Total Lipids in Large VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Lipids in Large VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	13	13	0	2	1	2
23797	Phospholipids in Large VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Phospholipids in Large VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-07-22T00:00:00	4587	4600	0	2	1	2
23798	Cholesterol in Large VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Cholesterol in Large VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-07-22T00:00:00	816	816	0	2	1	2
23799	Cholesteryl Esters in Large VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Cholesteryl Esters in Large VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-07-22T00:00:00	1974	1976	0	2	1	2
23800	Free Cholesterol in Large VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Free Cholesterol in Large VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-07-22T00:00:00	4040	4050	0	2	1	2
23801	Triglycerides in Large VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Triglycerides in Large VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	63	63	0	2	1	2
23802	Concentration of Medium VLDL Particles, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Concentration of Medium VLDL Particles, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23803	Total Lipids in Medium VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Lipids in Medium VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23804	Phospholipids in Medium VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Phospholipids in Medium VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	36	36	0	2	1	2
23805	Cholesterol in Medium VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Cholesterol in Medium VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	50	50	0	2	1	2
23806	Cholesteryl Esters in Medium VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Cholesteryl Esters in Medium VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-07-22T00:00:00	984	985	0	2	1	2
23807	Free Cholesterol in Medium VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Free Cholesterol in Medium VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	103	103	0	2	1	2
23808	Triglycerides in Medium VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Triglycerides in Medium VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	3	3	0	2	1	2
23809	Concentration of Small VLDL Particles, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Concentration of Small VLDL Particles, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23810	Total Lipids in Small VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Lipids in Small VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23811	Phospholipids in Small VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Phospholipids in Small VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23812	Cholesterol in Small VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Cholesterol in Small VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23813	Cholesteryl Esters in Small VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Cholesteryl Esters in Small VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	11	11	0	2	1	2
23814	Free Cholesterol in Small VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Free Cholesterol in Small VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	30	30	0	2	1	2
23815	Triglycerides in Small VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Triglycerides in Small VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23816	Concentration of Very Small VLDL Particles, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Concentration of Very Small VLDL Particles, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23817	Total Lipids in Very Small VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Lipids in Very Small VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23818	Phospholipids in Very Small VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Phospholipids in Very Small VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23819	Cholesterol in Very Small VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Cholesterol in Very Small VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23820	Cholesteryl Esters in Very Small VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Cholesteryl Esters in Very Small VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23821	Free Cholesterol in Very Small VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Free Cholesterol in Very Small VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23822	Triglycerides in Very Small VLDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Triglycerides in Very Small VLDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23823	Concentration of IDL Particles, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Concentration of IDL Particles, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23824	Total Lipids in IDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Lipids in IDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23825	Phospholipids in IDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Phospholipids in IDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23826	Cholesterol in IDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Cholesterol in IDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23827	Cholesteryl Esters in IDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Cholesteryl Esters in IDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23828	Free Cholesterol in IDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Free Cholesterol in IDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23829	Triglycerides in IDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Triglycerides in IDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23830	Concentration of Large LDL Particles, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Concentration of Large LDL Particles, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23831	Total Lipids in Large LDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Lipids in Large LDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23832	Phospholipids in Large LDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Phospholipids in Large LDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23833	Cholesterol in Large LDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Cholesterol in Large LDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	8	8	0	2	1	2
23834	Cholesteryl Esters in Large LDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Cholesteryl Esters in Large LDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	8	8	0	2	1	2
23835	Free Cholesterol in Large LDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Free Cholesterol in Large LDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	13	13	0	2	1	2
23836	Triglycerides in Large LDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Triglycerides in Large LDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23837	Concentration of Medium LDL Particles, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Concentration of Medium LDL Particles, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23838	Total Lipids in Medium LDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Lipids in Medium LDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23839	Phospholipids in Medium LDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Phospholipids in Medium LDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	0	0	0	2	1	2
23840	Cholesterol in Medium LDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Cholesterol in Medium LDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	7	7	0	2	1	2
23841	Cholesteryl Esters in Medium LDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Cholesteryl Esters in Medium LDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	7	7	0	2	1	2
23842	Free Cholesterol in Medium LDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Free Cholesterol in Medium LDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	25	25	0	2	1	2
23843	Triglycerides in Medium LDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Triglycerides in Medium LDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	12	12	0	2	1	2
23844	Concentration of Small LDL Particles, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Concentration of Small LDL Particles, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23845	Total Lipids in Small LDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Lipids in Small LDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23846	Phospholipids in Small LDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Phospholipids in Small LDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23847	Cholesterol in Small LDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Cholesterol in Small LDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	4	4	0	2	1	2
23848	Cholesteryl Esters in Small LDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Cholesteryl Esters in Small LDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	4	4	0	2	1	2
23849	Free Cholesterol in Small LDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Free Cholesterol in Small LDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	170	170	0	2	1	2
23850	Triglycerides in Small LDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Triglycerides in Small LDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-09-03T00:00:00	16632	16702	0	2	1	2
23851	Concentration of Very Large HDL Particles, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Concentration of Very Large HDL Particles, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23852	Total Lipids in Very Large HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Total Lipids in Very Large HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	28	28	0	2	1	2
23853	Phospholipids in Very Large HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Phospholipids in Very Large HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	1268	1271	0	2	1	2
23854	Cholesterol in Very Large HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Cholesterol in Very Large HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	150	150	0	2	1	2
23855	Cholesteryl Esters in Very Large HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Cholesteryl Esters in Very Large HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	571	573	0	2	1	2
23856	Free Cholesterol in Very Large HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Free Cholesterol in Very Large HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	988	990	0	2	1	2
23857	Triglycerides in Very Large HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Triglycerides in Very Large HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-09-03T00:00:00	106701	107858	0	2	1	2
23858	Concentration of Large HDL Particles, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Concentration of Large HDL Particles, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23859	Total Lipids in Large HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Lipids in Large HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23860	Phospholipids in Large HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Phospholipids in Large HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	15	15	0	2	1	2
23861	Cholesterol in Large HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Cholesterol in Large HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	103	103	0	2	1	2
23862	Cholesteryl Esters in Large HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Cholesteryl Esters in Large HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	133	133	0	2	1	2
23863	Free Cholesterol in Large HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Free Cholesterol in Large HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	1050	1054	0	2	1	2
23864	Triglycerides in Large HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Triglycerides in Large HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-09-03T00:00:00	1414	1417	0	2	1	2
23865	Concentration of Medium HDL Particles, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Concentration of Medium HDL Particles, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23866	Total Lipids in Medium HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Lipids in Medium HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23867	Phospholipids in Medium HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Phospholipids in Medium HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	2	2	0	2	1	2
23868	Cholesterol in Medium HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Cholesterol in Medium HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	3	3	0	2	1	2
23869	Cholesteryl Esters in Medium HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Cholesteryl Esters in Medium HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	3	3	0	2	1	2
23870	Free Cholesterol in Medium HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Free Cholesterol in Medium HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	5	5	0	2	1	2
23871	Triglycerides in Medium HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Triglycerides in Medium HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-07-22T00:00:00	51	51	0	2	1	2
23872	Concentration of Small HDL Particles, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Concentration of Small HDL Particles, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23873	Total Lipids in Small HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Total Lipids in Small HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23874	Phospholipids in Small HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Phospholipids in Small HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23875	Cholesterol in Small HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Cholesterol in Small HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23876	Cholesteryl Esters in Small HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Cholesteryl Esters in Small HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-02-26T00:00:00	1	1	0	2	1	2
23877	Free Cholesterol in Small HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	0	0	0	Free Cholesterol in Small HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23878	Triglycerides in Small HDL, QC Flag	0	2	0	21	11	0	2	1	0	0		221	2310	2	0	1	0	0	Triglycerides in Small HDL, QC Flag from Nightingale Health data	2021-02-26T00:00:00	2021-07-22T00:00:00	64	64	0	2	1	2
23879	Phospholipids to Total Lipids in Chylomicrons and Extremely Large VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Phospholipids to Total Lipids in Chylomicrons and Extremely Large VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-09-03T00:00:00	22504	22622	0	2	1	2
23880	Cholesterol to Total Lipids in Chylomicrons and Extremely Large VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Cholesterol to Total Lipids in Chylomicrons and Extremely Large VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-07-22T00:00:00	8228	8262	0	2	1	2
23881	Cholesteryl Esters to Total Lipids in Chylomicrons and Extremely Large VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Cholesteryl Esters to Total Lipids in Chylomicrons and Extremely Large VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-09-03T00:00:00	19116	19228	0	2	1	2
23882	Free Cholesterol to Total Lipids in Chylomicrons and Extremely Large VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Free Cholesterol to Total Lipids in Chylomicrons and Extremely Large VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-09-03T00:00:00	24617	24750	0	2	1	2
23883	Triglycerides to Total Lipids in Chylomicrons and Extremely Large VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Triglycerides to Total Lipids in Chylomicrons and Extremely Large VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-09-03T00:00:00	7048	7060	0	2	1	2
23884	Phospholipids to Total Lipids in Very Large VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Phospholipids to Total Lipids in Very Large VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-07-22T00:00:00	11976	12024	0	2	1	2
23885	Cholesterol to Total Lipids in Very Large VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Cholesterol to Total Lipids in Very Large VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-07-22T00:00:00	2511	2514	0	2	1	2
23886	Cholesteryl Esters to Total Lipids in Very Large VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Cholesteryl Esters to Total Lipids in Very Large VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-07-22T00:00:00	7215	7239	0	2	1	2
23887	Free Cholesterol to Total Lipids in Very Large VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Free Cholesterol to Total Lipids in Very Large VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-09-03T00:00:00	19460	19569	0	2	1	2
23888	Triglycerides to Total Lipids in Very Large VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Triglycerides to Total Lipids in Very Large VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	2818	2824	0	2	1	2
23889	Phospholipids to Total Lipids in Large VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Phospholipids to Total Lipids in Large VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-07-22T00:00:00	4574	4587	0	2	1	2
23890	Cholesterol to Total Lipids in Large VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Cholesterol to Total Lipids in Large VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-07-22T00:00:00	803	803	0	2	1	2
23891	Cholesteryl Esters to Total Lipids in Large VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Cholesteryl Esters to Total Lipids in Large VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-07-22T00:00:00	1961	1963	0	2	1	2
23892	Free Cholesterol to Total Lipids in Large VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Free Cholesterol to Total Lipids in Large VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-07-22T00:00:00	4027	4037	0	2	1	2
23893	Triglycerides to Total Lipids in Large VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Triglycerides to Total Lipids in Large VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	50	50	0	2	1	2
23894	Phospholipids to Total Lipids in Medium VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Phospholipids to Total Lipids in Medium VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	36	36	0	2	1	2
23895	Cholesterol to Total Lipids in Medium VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Cholesterol to Total Lipids in Medium VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	50	50	0	2	1	2
23896	Cholesteryl Esters to Total Lipids in Medium VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Cholesteryl Esters to Total Lipids in Medium VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-07-22T00:00:00	984	985	0	2	1	2
23897	Free Cholesterol to Total Lipids in Medium VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Free Cholesterol to Total Lipids in Medium VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	103	103	0	2	1	2
23898	Triglycerides to Total Lipids in Medium VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Triglycerides to Total Lipids in Medium VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	3	3	0	2	1	2
23899	Phospholipids to Total Lipids in Small VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Phospholipids to Total Lipids in Small VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23900	Cholesterol to Total Lipids in Small VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Cholesterol to Total Lipids in Small VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23901	Cholesteryl Esters to Total Lipids in Small VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Cholesteryl Esters to Total Lipids in Small VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	11	11	0	2	1	2
23902	Free Cholesterol to Total Lipids in Small VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Free Cholesterol to Total Lipids in Small VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	30	30	0	2	1	2
23903	Triglycerides to Total Lipids in Small VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Triglycerides to Total Lipids in Small VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23904	Phospholipids to Total Lipids in Very Small VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Phospholipids to Total Lipids in Very Small VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23905	Cholesterol to Total Lipids in Very Small VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Cholesterol to Total Lipids in Very Small VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23906	Cholesteryl Esters to Total Lipids in Very Small VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Cholesteryl Esters to Total Lipids in Very Small VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23907	Free Cholesterol to Total Lipids in Very Small VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Free Cholesterol to Total Lipids in Very Small VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23908	Triglycerides to Total Lipids in Very Small VLDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Triglycerides to Total Lipids in Very Small VLDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23909	Phospholipids to Total Lipids in IDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Phospholipids to Total Lipids in IDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23910	Cholesterol to Total Lipids in IDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Cholesterol to Total Lipids in IDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23911	Cholesteryl Esters to Total Lipids in IDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Cholesteryl Esters to Total Lipids in IDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23912	Free Cholesterol to Total Lipids in IDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Free Cholesterol to Total Lipids in IDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23913	Triglycerides to Total Lipids in IDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Triglycerides to Total Lipids in IDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23914	Phospholipids to Total Lipids in Large LDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Phospholipids to Total Lipids in Large LDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23915	Cholesterol to Total Lipids in Large LDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Cholesterol to Total Lipids in Large LDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	8	8	0	2	1	2
23916	Cholesteryl Esters to Total Lipids in Large LDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Cholesteryl Esters to Total Lipids in Large LDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	8	8	0	2	1	2
23917	Free Cholesterol to Total Lipids in Large LDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Free Cholesterol to Total Lipids in Large LDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	13	13	0	2	1	2
23918	Triglycerides to Total Lipids in Large LDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Triglycerides to Total Lipids in Large LDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23919	Phospholipids to Total Lipids in Medium LDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Phospholipids to Total Lipids in Medium LDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2000-01-01T00:00:00	0	0	0	2	1	2
23920	Cholesterol to Total Lipids in Medium LDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Cholesterol to Total Lipids in Medium LDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	7	7	0	2	1	2
23921	Cholesteryl Esters to Total Lipids in Medium LDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Cholesteryl Esters to Total Lipids in Medium LDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	7	7	0	2	1	2
23922	Free Cholesterol to Total Lipids in Medium LDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Free Cholesterol to Total Lipids in Medium LDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	25	25	0	2	1	2
23923	Triglycerides to Total Lipids in Medium LDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Triglycerides to Total Lipids in Medium LDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	12	12	0	2	1	2
23924	Phospholipids to Total Lipids in Small LDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Phospholipids to Total Lipids in Small LDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23925	Cholesterol to Total Lipids in Small LDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Cholesterol to Total Lipids in Small LDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	4	4	0	2	1	2
23926	Cholesteryl Esters to Total Lipids in Small LDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Cholesteryl Esters to Total Lipids in Small LDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	4	4	0	2	1	2
23927	Free Cholesterol to Total Lipids in Small LDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Free Cholesterol to Total Lipids in Small LDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	170	170	0	2	1	2
23928	Triglycerides to Total Lipids in Small LDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Triglycerides to Total Lipids in Small LDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-09-03T00:00:00	16632	16702	0	2	1	2
23929	Phospholipids to Total Lipids in Very Large HDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Phospholipids to Total Lipids in Very Large HDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	1240	1243	0	2	1	2
23930	Cholesterol to Total Lipids in Very Large HDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Cholesterol to Total Lipids in Very Large HDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	122	122	0	2	1	2
23931	Cholesteryl Esters to Total Lipids in Very Large HDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Cholesteryl Esters to Total Lipids in Very Large HDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	543	545	0	2	1	2
23932	Free Cholesterol to Total Lipids in Very Large HDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Free Cholesterol to Total Lipids in Very Large HDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	960	962	0	2	1	2
23933	Triglycerides to Total Lipids in Very Large HDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Triglycerides to Total Lipids in Very Large HDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-09-03T00:00:00	106673	107830	0	2	1	2
23934	Phospholipids to Total Lipids in Large HDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Phospholipids to Total Lipids in Large HDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	15	15	0	2	1	2
23935	Cholesterol to Total Lipids in Large HDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Cholesterol to Total Lipids in Large HDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	103	103	0	2	1	2
23936	Cholesteryl Esters to Total Lipids in Large HDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Cholesteryl Esters to Total Lipids in Large HDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	133	133	0	2	1	2
23937	Free Cholesterol to Total Lipids in Large HDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Free Cholesterol to Total Lipids in Large HDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	1050	1054	0	2	1	2
23938	Triglycerides to Total Lipids in Large HDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Triglycerides to Total Lipids in Large HDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-09-03T00:00:00	1414	1417	0	2	1	2
23939	Phospholipids to Total Lipids in Medium HDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Phospholipids to Total Lipids in Medium HDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	2	2	0	2	1	2
23940	Cholesterol to Total Lipids in Medium HDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Cholesterol to Total Lipids in Medium HDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	3	3	0	2	1	2
23941	Cholesteryl Esters to Total Lipids in Medium HDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Cholesteryl Esters to Total Lipids in Medium HDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	3	3	0	2	1	2
23942	Free Cholesterol to Total Lipids in Medium HDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Free Cholesterol to Total Lipids in Medium HDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	5	5	0	2	1	2
23943	Triglycerides to Total Lipids in Medium HDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Triglycerides to Total Lipids in Medium HDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-07-22T00:00:00	51	51	0	2	1	2
23944	Phospholipids to Total Lipids in Small HDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Phospholipids to Total Lipids in Small HDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23945	Cholesterol to Total Lipids in Small HDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Cholesterol to Total Lipids in Small HDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23946	Cholesteryl Esters to Total Lipids in Small HDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Cholesteryl Esters to Total Lipids in Small HDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-06-18T00:00:00	1	1	0	2	1	2
23947	Free Cholesterol to Total Lipids in Small HDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	0	0	0	Percentage of Free Cholesterol to Total Lipids in Small HDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	1	2
23948	Triglycerides to Total Lipids in Small HDL percentage, QC Flag	0	2	0	21	11	0	0	1	0	0		221	2310	2	0	1	0	0	Percentage of Triglycerides to Total Lipids in Small HDL, QC Flag from Nightingale Health data	2021-06-18T00:00:00	2021-07-22T00:00:00	64	64	0	2	1	2
24003	Nitrogen dioxide air pollution; 2010	0	0	0	31	0	0	0	0	0	0	micro-g/m3	114	0	0	0	0	0	0	Nitrogen dioxide; Land Use Regression (LUR) estimate for annual average 2010.	2015-03-23T00:00:00	2015-04-01T00:00:00	494993	494993	0	1	1	1
24004	Nitrogen oxides air pollution; 2010	0	0	0	31	0	0	0	0	0	0	micro-g/m3	114	0	0	0	0	0	0	Nitrogen oxides; Land Use Regression (LUR) estimate for annual average 2010.	2015-03-23T00:00:00	2015-04-01T00:00:00	494993	494993	0	1	1	1
24005	Particulate matter air pollution (pm10); 2010	0	0	0	31	0	0	0	0	0	0	micro-g/m3	114	0	0	0	0	0	0	PM10 (particulate matter with diameter less than or equal to 10 micrometres); Land Use Regression (LUR) estimate for annual average 2010.	2015-03-23T00:00:00	2015-04-01T00:00:00	461073	461073	0	1	1	1
24006	Particulate matter air pollution (pm2.5); 2010	0	0	0	31	0	0	0	0	0	0	micro-g/m3	114	0	0	0	0	0	0	PM10 (particulate matter with diameter less than or equal to 2.5 micrometres); Land Use Regression (LUR) estimate for annual average 2010.	2015-03-23T00:00:00	2015-04-01T00:00:00	461073	461073	0	1	1	1
24007	Particulate matter air pollution (pm2.5) absorbance; 2010	0	0	0	31	0	0	0	0	0	0	per-metre	114	0	0	0	0	0	0	PM2.5 absorbance. This is ameasurement of the blackness of PM2.5 filters; a proxy for elemental carbon, which is the dominant light absorbing substanc. Land Use Regression (LUR) estimate for annual average 2010	2015-03-23T00:00:00	2015-04-01T00:00:00	461073	461073	0	1	1	1
24008	Particulate matter air pollution 2.5-10um; 2010	0	0	0	31	0	0	0	0	0	0	micro-g/m3	114	0	0	0	0	0	0	PM coarse (particulate matter betweem 2.5 and 10 micrometres); Land Use Regression (LUR) estimate for annual average 2010.	2015-03-23T00:00:00	2015-04-01T00:00:00	461073	461073	0	1	1	1
24009	Traffic intensity on the nearest road	0	0	0	11	0	0	0	0	0	0	vehicles/day	114	0	0	0	0	0	0	Traffic intensity (average total number of motor vehicles per 24 hours) on the nearest road based upon local road network measured in vehicles per day. Traffic count data is from the Road Traffic Statistics Branch at the Department for Transport attached to the local road network. Traffic data for unmonitored links were estimates based on surrounding monitored links. The minimum traffic count was set to 500 vehicles per day. The local road network is taken from the Ordnance Survey Meridian 2 road network (scale 1:50000, 1 metre accuracy), 2009.	2015-03-23T00:00:00	2015-04-02T00:00:00	494993	494993	0	1	1	1
24010	Inverse distance to the nearest road	0	0	0	31	0	0	0	0	0	0	1/metres	114	0	0	0	0	0	0	Inverse distance to the nearest road based upon local road network. The local road network is taken from the Ordnance Survey Meridian 2 road network (scale 1:50000, 1 metre accuracy), 2009.	2015-03-23T00:00:00	2015-04-01T00:00:00	494993	494993	0	1	1	1
24011	Traffic intensity on the nearest major road	0	0	0	11	0	0	0	0	0	0	vehicles/day	114	0	0	0	0	0	0	Traffic intensity is the average total number of motor vehicles per 24 hours on the nearest major road based upon a local road network. Traffic count data is from the Road Traffic Statistics Branch at the Department for Transport attached to the local road network. Traffic data for unmonitored links were estimates based on surrounding monitored links. The local road network is taken from the Ordnance Survey Meridian 2 road network (scale 1:50000, 1 metre accuracy), 2009. The definition of a major road for the local road network is a road with traffic intensity greater than 5000 motor vehicles per 24 hours.	2015-03-23T00:00:00	2015-04-02T00:00:00	494993	494993	0	1	1	1
24012	Inverse distance to the nearest major road	0	0	0	31	0	0	0	0	0	0	1/metres	114	0	0	0	0	0	0	Inverse distance to the nearest major road based upon a local road network. The definition of a major road for the local road network is a road with traffic intensity greater than 5000 motor vehicles per 24 hours. The local road network is taken from the Ordnance Survey Meridian 2 road network (scale 1:50000, 1 metre accuracy), 2009.	2015-03-23T00:00:00	2015-04-01T00:00:00	494993	494993	0	1	1	1
24013	Total traffic load on major roads	0	0	0	11	0	0	0	0	0	0	vehicles/day	114	0	0	0	0	0	0	Total traffic load (average total number of motor vehicles per 24 hours * length of road segment) on major roads in a 100 metres circular buffer of residential address based upon local road network. The definition of a major road for the local road network is a road with traffic intensity greater than 5000 motor vehicles per 24 hours. The local road network is taken from the Ordnance Survey Meridian 2 road network (scale 1:50000, 1 metre accuracy), 2009.	2015-03-23T00:00:00	2015-04-02T00:00:00	494993	494993	0	1	1	1
24014	Close to major road	0	0	0	21	11	0	0	0	0	0		114	7	0	0	0	0	0	Indicator variable indicating whether a residential address is within 50 metres of a class 1 or 2 type road and/or within 100 metres of a class 0 road, based upon central road network. The Central road network is taken from Eurostreets version 3.1 digital road network (scale 1:10000), derived from the TeleAtlas MultiNet TM dataset for the year 2008. All roads of class 0, 1 and 2 (motorways, main roads of major importance and other main roads) were classified as major roads. Based upon local knowledge classes 3 and 4 (secondary roads and local connecting roads) were also classified as major roads.	2015-03-23T00:00:00	2015-04-02T00:00:00	494993	494993	0	1	1	1
24015	Sum of road length of major roads within 100m	0	0	0	31	0	0	0	0	0	0	metres	114	0	0	0	0	0	0	Sum of road length of major roads from the central road network within a 100 metre circular buffer of residential address. The Central road network is taken from Eurostreets version 3.1 digital road network (scale 1:10000), derived from the TeleAtlas MultiNet TM dataset for the year 2008. All roads of class 0, 1and 2 (motorways, main roads of major importance and other main roads) were classified as major roads. Based upon local knowledge classes 3 and 4 (secondary roads and local connecting roads) were also classified as major roads.	2015-03-23T00:00:00	2015-04-01T00:00:00	494993	494993	0	1	1	1
24016	Nitrogen dioxide air pollution; 2005	0	0	0	31	0	0	0	0	0	0	micro-g/m3	114	0	0	0	0	0	0	Nitrogen dioxide; Land Use Regression (LUR) estimate for annual average 2005.	2015-03-23T00:00:00	2015-04-01T00:00:00	494993	494993	0	1	1	1
24017	Nitrogen dioxide air pollution; 2006	0	0	0	31	0	0	0	0	0	0	micro-g/m3	114	0	0	0	0	0	0	Nitrogen dioxide; Land Use Regression (LUR) estimate for annual average 2006.	2015-03-23T00:00:00	2015-04-01T00:00:00	494993	494993	0	1	1	1
24018	Nitrogen dioxide air pollution; 2007	0	0	0	31	0	0	0	0	0	0	micro-g/m3	114	0	0	0	0	0	0	Nitrogen dioxide; Land Use Regression (LUR) estimate for annual average 2007.	2015-03-23T00:00:00	2015-04-01T00:00:00	494993	494993	0	1	1	1
24019	Particulate matter air pollution (pm10); 2007	0	0	0	31	0	0	0	0	0	0	micro-g/m3	114	0	0	0	0	0	0	PM10 (particulate matter with diameter less than or equal to 10 micrometres); Land Use Regression (LUR) estimate for annual average 2007.	2015-03-23T00:00:00	2015-04-01T00:00:00	493895	493895	0	1	1	1
24020	Average daytime sound level of noise pollution	0	0	0	31	0	0	0	0	0	0	dB	115	0	0	0	0	0	0	LDay (day equivalent level): Average sound level pressure LAeq over the 12-hour period 07:00 to 19:00.	2015-03-23T00:00:00	2015-04-01T00:00:00	494993	494993	0	1	1	1
24021	Average evening sound level of noise pollution	0	0	0	31	0	0	0	0	0	0	dB	115	0	0	0	0	0	0	LEve (evening equivalent level): Average sound level pressure LAeq between the hours of 19:00 to 23:00.	2015-03-23T00:00:00	2015-04-01T00:00:00	494993	494993	0	1	1	1
24022	Average night-time sound level of noise pollution	0	0	0	31	0	0	0	0	0	0	dB	115	0	0	0	0	0	0	LNight (night equivalent level): Average sound level pressure LAeq overnight 23:00 to 07:00.	2015-03-23T00:00:00	2015-04-01T00:00:00	494993	494993	0	1	1	1
24023	Average 16-hour sound level of noise pollution	0	0	0	31	0	0	0	0	0	0	dB	115	0	0	0	0	0	0	LAeq,16hr (A-weighted equivalent sound level): Average sound level pressure LAeq between the hours of 07:00 to 23:00.	2015-03-23T00:00:00	2015-04-01T00:00:00	494993	494993	0	1	1	1
24024	Average 24-hour sound level of noise pollution	0	0	0	31	0	0	0	0	0	0	dB	115	0	0	0	0	0	0	LDen: (day-evening-night equivalent level): A-weighted Leq noise level measured over the 24 hour period with a 10 decibel penality added to the levels between 23:00 and 07:00.	2015-03-23T00:00:00	2015-04-01T00:00:00	494993	494993	0	1	1	1
24025	Included in pollution study	0	0	0	21	11	0	3	0	0	0		113	102	0	0	0	0	0	This field indicates whether a participant was included in the residential air/noise pollution studies. Participants without a value here were not in the studies.	2015-03-31T00:00:00	2000-01-01T00:00:00	-1	-1	0	1	1	1
24030	Whole genome CRAM files (DRAGEN) [150k]	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome CRAM files (DRAGEN) [150k]	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24031	Whole genome CRAM indices (DRAGEN) [150k]	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome CRAM indices (DRAGEN) [150k]	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24032	Whole genome supplementary files (DRAGEN) [150k]	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome supplementary files (DRAGEN) [150k]	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24033	Whole genome variant call files (GVCFs) (DRAGEN) [150k]	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome variant call files (GVCFs) (DRAGEN) [150k]	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24034	Whole genome variant call indices (GVCFs) (DRAGEN) [150k]	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome variant call indices (GVCFs) (DRAGEN) [150k]	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24035	Whole genome variant call files (VCFs) (DRAGEN) [150k]	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome variant call files (VCFs) (DRAGEN) [150k]	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24036	Whole genome variant call indices (VCFs) (DRAGEN)[150k}	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome variant call indices (VCFs) (DRAGEN)[150k}	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24037	Whole genome diagnostics files (DRAGEN) [150k]	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome diagnostics files (DRAGEN) [150k]	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24038	Whole genome CNV call files (DRAGEN) [150k]	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome CNV call files (DRAGEN) [150k]	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24039	Whole genome CNV call indices (DRAGEN) [150k]	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome CNV call indices (DRAGEN) [150k]	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24040	Whole genome CNV supplementary files (DRAGEN) [150k]	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome CNV supplementary files (DRAGEN) [150k]	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24041	Whole genome SV call files (DRAGEN) [150k]	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome SV call files (DRAGEN) [150k]	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24042	Whole genome SV call indices (DRAGEN) [150k]	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome SV call indices (DRAGEN) [150k]	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24043	Whole genome SV supplementary files (DRAGEN) [150k]	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome SV supplementary files (DRAGEN) [150k]	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24044	Whole genome STR call files (DRAGEN) [150k]	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome STR call files (DRAGEN) [150k]	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24045	Whole genome STR call indices (DRAGEN) [150k]	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome STR call indices (DRAGEN) [150k]	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24046	Whole genome STR supplementary files (DRAGEN) [150k]	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome STR supplementary files (DRAGEN) [150k]	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24047	Whole genome CYP2D6 genotype calls (DRAGEN) [150k]	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome CYP2D6 genotype calls (DRAGEN) [150k]	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24048	Whole genome CRAM files (DRAGEN)	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome CRAM files (DRAGEN)	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24049	Whole genome CRAM indices (DRAGEN)	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome CRAM indices (DRAGEN)	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24050	Whole genome supplementary files (DRAGEN)	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome supplementary files (DRAGEN)	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24051	Whole genome variant call files (GVCFs) (DRAGEN)	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome variant call files (GVCFs) (DRAGEN)	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24052	Whole genome variant call indices (GVCFs) (DRAGEN)	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome variant call indices (GVCFs) (DRAGEN)	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24053	Whole genome variant call files (VCFs) (DRAGEN)	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome variant call files (VCFs) (DRAGEN)	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24054	Whole genome variant call indices (VCFs) (DRAGEN)	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome variant call indices (VCFs) (DRAGEN)	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24055	Whole genome diagnostics files (DRAGEN)	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome diagnostics files (DRAGEN)	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24056	Whole genome CNV call files (DRAGEN)	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome CNV call files (DRAGEN)	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24057	Whole genome CNV call indices (DRAGEN)	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome CNV call indices (DRAGEN)	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24058	Whole genome CNV supplementary files (DRAGEN)	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome CNV supplementary files (DRAGEN)	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24059	Whole genome SV call files (DRAGEN)	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome SV call files (DRAGEN)	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24060	Whole genome SV call indices (DRAGEN)	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome SV call indices (DRAGEN)	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24061	Whole genome SV supplementary files (DRAGEN)	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome SV supplementary files (DRAGEN)	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24062	Whole genome STR call files (DRAGEN)	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome STR call files (DRAGEN)	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24063	Whole genome STR call indices (DRAGEN)	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome STR call indices (DRAGEN)	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24064	Whole genome STR supplementary files (DRAGEN)	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome STR supplementary files (DRAGEN)	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24065	Whole genome CYP2D6 genotype calls (DRAGEN)	0	2	1	41	0	0	0	0	0	0		185	0	0	0	0	0	0	Whole genome CYP2D6 genotype calls (DRAGEN)	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24066	Exome variant call files (DRAGEN) (VCFs)	0	2	1	41	0	20	0	0	0	0		172	0	0	0	0	0	0	Exome variant call files (DRAGEN) (VCFs)	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24067	Exome variant call file (DRAGEN) (VCF) indices	0	2	1	41	0	20	0	0	0	0		172	0	0	0	0	0	0	Exome variant call file (DRAGEN) (VCF) indices	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24068	Exome variant call files (gnomAD) (VCFs)	0	2	0	41	0	20	0	0	0	0		172	0	0	0	0	0	0	Exome variant call files (gnomAD) (VCFs)	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24069	Exome variant call file (gnomAD) (VCF) indices	0	2	0	41	0	20	0	0	0	0		172	0	0	0	0	0	0	Exome variant call file (gnomAD) (VCF) indices	2021-07-28T00:00:00	2000-01-01T00:00:00	-1	-1	0	0	3	0
24100	LV end diastolic volume	0	2	0	31	0	0	3	1	0	0	mL	157	0	2	2	3	0	0	Left ventricle end diastolic volume	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24101	LV end systolic volume	0	2	0	31	0	0	3	1	0	0	mL	157	0	2	2	3	0	0	Left ventricle end systolic volume	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24102	LV stroke volume	0	2	0	31	0	0	3	1	0	0	mL	157	0	2	2	3	0	0	Left ventricle stroke volume	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24103	LV ejection fraction	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle ejection fraction	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24104	LV cardiac output	0	2	0	31	0	0	3	1	0	0	L/min	157	0	2	2	3	0	0	Left ventricle cardiac output	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24105	LV myocardial mass	0	2	0	31	0	0	3	1	0	0	g	157	0	2	2	3	0	0	Left ventricle myocardial mass	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24106	RV end diastolic volume	0	2	0	31	0	0	3	1	0	0	mL	157	0	2	2	3	0	0	Right ventricle end diastolic volume	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24107	RV end systolic volume	0	2	0	31	0	0	3	1	0	0	mL	157	0	2	2	3	0	0	Right ventricle end systolic volume	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24108	RV stroke volume	0	2	0	31	0	0	3	1	0	0	mL	157	0	2	2	3	0	0	Right ventricle stroke volume	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24109	RV ejection fraction	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Right ventricle ejection fraction	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24110	LA maximum volume	0	2	0	31	0	0	3	1	0	0	mL	157	0	2	2	3	0	0	Left atrium maximum volume	2021-09-13T00:00:00	2021-11-10T00:00:00	1081	1966	0	1	1	1
24111	LA minimum volume	0	2	0	31	0	0	3	1	0	0	mL	157	0	2	2	3	0	0	Left atrium minimum volume	2021-09-13T00:00:00	2021-11-10T00:00:00	1081	1966	0	1	1	1
24112	LA stroke volume	0	2	0	31	0	0	3	1	0	0	mL	157	0	2	2	3	0	0	Left atrium stroke volume	2021-09-13T00:00:00	2021-11-10T00:00:00	1081	1966	0	1	1	1
24113	LA ejection fraction	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left atrium ejection fraction	2021-09-13T00:00:00	2021-11-10T00:00:00	1081	1966	0	1	1	1
24114	RA maximum volume	0	2	0	31	0	0	3	1	0	0	mL	157	0	2	2	3	0	0	Right atrium maximum volume	2021-09-13T00:00:00	2021-11-10T00:00:00	1081	1966	0	1	1	1
24115	RA minimum volume	0	2	0	31	0	0	3	1	0	0	mL	157	0	2	2	3	0	0	Right atrium minimum volume	2021-09-13T00:00:00	2021-11-10T00:00:00	1081	1966	0	1	1	1
24116	RA stroke volume	0	2	0	31	0	0	3	1	0	0	mL	157	0	2	2	3	0	0	Right atrium stroke volume	2021-09-13T00:00:00	2021-11-10T00:00:00	1081	1966	0	1	1	1
24117	RA ejection fraction	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Right atrium ejection fraction	2021-09-13T00:00:00	2021-11-10T00:00:00	1081	1966	0	1	1	1
24118	Ascending aorta maximum area	0	2	0	31	0	0	3	1	0	0	mm2	157	0	2	2	3	0	0	Ascending aorta maximum area	2021-09-13T00:00:00	2021-11-10T00:00:00	989	1437	0	1	1	1
24119	Ascending aorta minimum area	0	2	0	31	0	0	3	1	0	0	mm2	157	0	2	2	3	0	0	Ascending aorta minimum area	2021-09-13T00:00:00	2021-11-10T00:00:00	989	1437	0	1	1	1
24120	Ascending aorta distensibility	0	2	0	31	0	0	3	1	0	0	10^-3/mmHg	157	0	2	2	3	0	0	Ascending aorta distensibility	2021-09-13T00:00:00	2021-11-10T00:00:00	989	1437	0	1	1	1
24121	Descending aorta maximum area	0	2	0	31	0	0	3	1	0	0	mm2	157	0	2	2	3	0	0	Descending aorta maximum area	2021-09-13T00:00:00	2021-11-10T00:00:00	989	1437	0	1	1	1
24122	Descending aorta minimum area	0	2	0	31	0	0	3	1	0	0	mm2	157	0	2	2	3	0	0	Descending aorta minimum area	2021-09-13T00:00:00	2021-11-10T00:00:00	989	1437	0	1	1	1
24123	Descending aorta distensibility	0	2	0	31	0	0	3	1	0	0	10^-3/mmHg	157	0	2	2	3	0	0	Descending aorta distensibility	2021-09-13T00:00:00	2021-11-10T00:00:00	989	1437	0	1	1	1
24124	LV mean myocardial wall thickness AHA 1	0	2	0	31	0	0	3	1	0	0	mm	157	0	2	2	3	0	0	Left ventricle mean myocardial wall thickness AHA 1	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24125	LV mean myocardial wall thickness AHA 2	0	2	0	31	0	0	3	1	0	0	mm	157	0	2	2	3	0	0	Left ventricle mean myocardial wall thickness AHA 2	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24126	LV mean myocardial wall thickness AHA 3	0	2	0	31	0	0	3	1	0	0	mm	157	0	2	2	3	0	0	Left ventricle mean myocardial wall thickness AHA 3	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24127	LV mean myocardial wall thickness AHA 4	0	2	0	31	0	0	3	1	0	0	mm	157	0	2	2	3	0	0	Left ventricle mean myocardial wall thickness AHA 4	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24128	LV mean myocardial wall thickness AHA 5	0	2	0	31	0	0	3	1	0	0	mm	157	0	2	2	3	0	0	Left ventricle mean myocardial wall thickness AHA 5	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24129	LV mean myocardial wall thickness AHA 6	0	2	0	31	0	0	3	1	0	0	mm	157	0	2	2	3	0	0	Left ventricle mean myocardial wall thickness AHA 6	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24130	LV mean myocardial wall thickness AHA 7	0	2	0	31	0	0	3	1	0	0	mm	157	0	2	2	3	0	0	Left ventricle mean myocardial wall thickness AHA 7	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24131	LV mean myocardial wall thickness AHA 8	0	2	0	31	0	0	3	1	0	0	mm	157	0	2	2	3	0	0	Left ventricle mean myocardial wall thickness AHA 8	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24132	LV mean myocardial wall thickness AHA 9	0	2	0	31	0	0	3	1	0	0	mm	157	0	2	2	3	0	0	Left ventricle mean myocardial wall thickness AHA 9	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24133	LV mean myocardial wall thickness AHA 10	0	2	0	31	0	0	3	1	0	0	mm	157	0	2	2	3	0	0	Left ventricle mean myocardial wall thickness AHA 10	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24134	LV mean myocardial wall thickness AHA 11	0	2	0	31	0	0	3	1	0	0	mm	157	0	2	2	3	0	0	Left ventricle mean myocardial wall thickness AHA 11	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24135	LV mean myocardial wall thickness AHA 12	0	2	0	31	0	0	3	1	0	0	mm	157	0	2	2	3	0	0	Left ventricle mean myocardial wall thickness AHA 12	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24136	LV mean myocardial wall thickness AHA 13	0	2	0	31	0	0	3	1	0	0	mm	157	0	2	2	3	0	0	Left ventricle mean myocardial wall thickness AHA 13	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24137	LV mean myocardial wall thickness AHA 14	0	2	0	31	0	0	3	1	0	0	mm	157	0	2	2	3	0	0	Left ventricle mean myocardial wall thickness AHA 14	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24138	LV mean myocardial wall thickness AHA 15	0	2	0	31	0	0	3	1	0	0	mm	157	0	2	2	3	0	0	Left ventricle mean myocardial wall thickness AHA 15	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24139	LV mean myocardial wall thickness AHA 16	0	2	0	31	0	0	3	1	0	0	mm	157	0	2	2	3	0	0	Left ventricle mean myocardial wall thickness AHA 16	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24140	LV mean myocardial wall thickness global	0	2	0	31	0	0	3	1	0	0	mm	157	0	2	2	3	0	0	Left ventricle mean myocardial wall thickness global	2021-09-13T00:00:00	2021-11-10T00:00:00	1083	1975	0	1	1	1
24141	LV circumferential strain AHA 1	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle circumferential strain AHA 1	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24142	LV circumferential strain AHA 2	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle circumferential strain AHA 2	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24143	LV circumferential strain AHA 3	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle circumferential strain AHA 3	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24144	LV circumferential strain AHA 4	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle circumferential strain AHA 4	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24145	LV circumferential strain AHA 5	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle circumferential strain AHA 5	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24146	LV circumferential strain AHA 6	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle circumferential strain AHA 6	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24147	LV circumferential strain AHA 7	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle circumferential strain AHA 7	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24148	LV circumferential strain AHA 8	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle circumferential strain AHA 8	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24149	LV circumferential strain AHA 9	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle circumferential strain AHA 9	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24150	LV circumferential strain AHA 10	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle circumferential strain AHA 10	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24151	LV circumferential strain AHA 11	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle circumferential strain AHA 11	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24152	LV circumferential strain AHA 12	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle circumferential strain AHA 12	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24153	LV circumferential strain AHA 13	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle circumferential strain AHA 13	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24154	LV circumferential strain AHA 14	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle circumferential strain AHA 14	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24155	LV circumferential strain AHA 15	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle circumferential strain AHA 15	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24156	LV circumferential strain AHA 16	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle circumferential strain AHA 16	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24157	LV circumferential strain global	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle circumferential strain global	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24158	LV radial strain AHA 1	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle radial strain AHA 1	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24159	LV radial strain AHA 2	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle radial strain AHA 2	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24160	LV radial strain AHA 3	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle radial strain AHA 3	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24161	LV radial strain AHA 4	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle radial strain AHA 4	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24162	LV radial strain AHA 5	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle radial strain AHA 5	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24163	LV radial strain AHA 6	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle radial strain AHA 6	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24164	LV radial strain AHA 7	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle radial strain AHA 7	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24165	LV radial strain AHA 8	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle radial strain AHA 8	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24166	LV radial strain AHA 9	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle radial strain AHA 9	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24167	LV radial strain AHA 10	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle radial strain AHA 10	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24168	LV radial strain AHA 11	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle radial strain AHA 11	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24169	LV radial strain AHA 12	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle radial strain AHA 12	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24170	LV radial strain AHA 13	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle radial strain AHA 13	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24171	LV radial strain AHA 14	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle radial strain AHA 14	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24172	LV radial strain AHA 15	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle radial strain AHA 15	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24173	LV radial strain AHA 16	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle radial strain AHA 16	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24174	LV radial strain global	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle radial strain global	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1966	0	1	1	1
24175	LV longitudinal strain Segment 1	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle longitudinal strain Segment 1	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1950	0	1	1	1
24176	LV longitudinal strain Segment 2	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle longitudinal strain Segment 2	2021-09-13T00:00:00	2021-11-10T00:00:00	1080	1950	0	1	1	1
24177	LV longitudinal strain Segment 3	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle longitudinal strain Segment 3	2021-09-13T00:00:00	2021-11-10T00:00:00	1082	1964	0	1	1	1
24178	LV longitudinal strain Segment 4	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle longitudinal strain Segment 4	2021-09-13T00:00:00	2021-11-10T00:00:00	1082	1963	0	1	1	1
24179	LV longitudinal strain Segment 5	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle longitudinal strain Segment 5	2021-09-13T00:00:00	2021-11-10T00:00:00	1082	1961	0	1	1	1
24180	LV longitudinal strain Segment 6	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle longitudinal strain Segment 6	2021-09-13T00:00:00	2021-11-10T00:00:00	1082	1960	0	1	1	1
24181	LV longitudinal strain global	0	2	0	31	0	0	3	1	0	0	%	157	0	2	2	3	0	0	Left ventricle longitudinal strain global	2021-09-13T00:00:00	2021-11-10T00:00:00	1082	1965	0	1	1	1
24302	Population level WGS variants, PLINK format - interim 150k release	0	0	0	21	11	20	0	0	0	0		180	1	0	0	0	0	0	Population level WGS variants, PLINK format - interim 150k release	2021-10-22T00:00:00	2000-01-01T00:00:00	-1	-1	100	0	3	0
24303	Population level genome variants, BGEN format - interim 150k release	0	0	0	21	11	20	0	0	0	0		180	1	0	0	0	0	0	Population level genome variants, BGEN format - interim 150k release	2021-10-22T00:00:00	2000-01-01T00:00:00	-1	-1	120	0	3	0
24304	Population level WGS variants, pVCF format - interim 200k release	0	0	0	21	11	20	3	0	0	0		180	1	0	0	0	0	0	Joint variant calling for the first 150,000 participants sequenced in the main phase of the whole genome sequencing project, together with the 50,000 participants sequenced during the Vanguard phase. This joint variant calling was performed by deCODE Genetics using a GraphTyper pipeline. The data is provided in a pVCF format.	2021-10-22T00:00:00	2000-01-01T00:00:00	-1	-1	470	0	3	0
24305	Population level WGS variants, PLINK format - interim 200k release	0	0	1	21	11	20	0	0	0	0		180	1	0	0	0	0	0	Plink (version 1; BED format) population level formatted files derived from joint variant call (pVCF) files produced using the GraphTyper pipeline. This format conversion was performed by UK Biobank from the 200,000 participant joint variant call data in ~F24304~	2021-10-22T00:00:00	2000-01-01T00:00:00	-1	-1	480	0	3	0
24306	Population level genome variants, BGEN format - interim 200k release	0	0	1	21	11	20	0	0	0	0		180	1	0	0	0	0	0	BGEN binary format population level formatted files derived from joint variant call (pVCF) files produced using the GraphTyper pipeline. BGEN files are Zlib compressed, as produced by PLINK 2. This format conversion was performed by UK Biobank from the 200,000 participant joint variant call data in ~F24304~.	2021-10-22T00:00:00	2000-01-01T00:00:00	-1	-1	490	0	3	0
24308	Population level WGS variants, PLINK format - 500k release	0	0	1	21	11	20	0	0	0	0		180	1	0	0	0	0	0	PLINK2 version of the final 500,000 participant joint variant call. <p>This data is currently restricted and is anticipated for public release in late 2023.	2021-10-22T00:00:00	2000-01-01T00:00:00	-1	-1	510	0	3	0
24309	Population level genome variants, BGEN format - 500k release	0	0	1	21	11	20	0	0	0	0		180	1	0	0	0	0	0	BGEN version of the final 500,000 participant joint variant call. <p>This data is currently restricted and is anticipated for public release in late 2023.	2021-10-22T00:00:00	2000-01-01T00:00:00	-1	-1	520	0	3	0
24352	FR liver PDFF mean	0	2	0	31	0	0	0	1	0	0	fraction	149	0	2	2	3	0	0	Fat referenced (FR) liver proton density fat fraction (PDFF) measured as the average PDFF in up to nine (and at least three) regions of interest (ROI) in the liver. These ROI avoid inhomogeneities, major vessels, and bile ducts. These values were derived based on the IDEAL imaging protocol (~F20254~).	2021-07-08T00:00:00	2022-11-11T00:00:00	31333	32147	0	1	1	1
24353	Anterior thigh muscle fat infiltration (MFI) (left)	0	2	0	31	0	0	0	1	0	0	fraction	149	0	2	2	3	0	0	Anterior thigh includes quadriceps femoris, sartorius, and tensor fascia latae. Muscle fat infiltration is defined as the fat fraction in the viable muscle tissue (fat-free muscle volume (FFMV)).	2021-07-08T00:00:00	2022-11-11T00:00:00	39579	40393	0	1	1	1
24354	Anterior thigh muscle fat infiltration (MFI) (right)	0	2	0	31	0	0	0	1	0	0	fraction	149	0	2	2	3	0	0	Anterior thigh includes quadriceps femoris, sartorius, and tensor fascia latae. Muscle fat infiltration is defined as the fat fraction in the viable muscle tissue (fat-free muscle volume (FFMV)).	2021-07-08T00:00:00	2022-11-11T00:00:00	39780	40595	0	1	1	1
24360	Mean CBF in whole brain in grey matter	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the whole brain in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24361	Mean CBF in cortex in grey matter	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the cortex in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24362	Mean CBF in Cerebellum in grey matter (right)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the right Cerebellum in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24363	Mean CBF in Cerebellum in grey matter (left)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the left Cerebellum in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24364	Mean CBF in Frontal Lobe in grey matter (right)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the right Frontal Lobe in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24365	Mean CBF in Frontal Lobe in grey matter (left)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the left Frontal Lobe in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24366	Mean CBF in Occipital Lobe in grey matter (right)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the right Occipital Lobe in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24367	Mean CBF in Occipital Lobe in grey matter (left)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the left Occipital Lobe in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24368	Mean CBF in Parietal Lobe in grey matter (right)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the right Parietal Lobe in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24369	Mean CBF in Parietal Lobe in grey matter (left)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the left Parietal Lobe in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24370	Mean CBF in Temporal Lobe in grey matter (right)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the right Temporal Lobe in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24371	Mean CBF in Temporal Lobe in grey matter (left)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the left Temporal Lobe in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24372	Mean CBF in Internal Carotid Artery vascular territory in grey matter (right)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the right Internal Carotid Artery vascular territory in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24373	Mean CBF in Internal Carotid Artery vascular territory in grey matter (left)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the left Internal Carotid Artery vascular territory in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24374	Mean CBF in VertebroBasilar Arteries vascular territories in grey matter	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the VertebroBasilar Arteries vascular territories in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24375	Mean CBF in whole brain in white matter	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the whole brain in voxels with >90% white matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24376	Mean CBF in cerebrum in white matter and >50% cerebral partial volume	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the cerebrum in voxels with >90% white matter partial volume and >50% cerebral partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24377	Mean CBF in cerebrum in white matter (left)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the left cerebrum in voxels with >90% white matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24378	Mean CBF in cerebrum in white matter (right)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the right cerebrum in voxels with >90% white matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24379	Mean CBF in Caudate (right)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the right Caudate	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24380	Mean CBF in Caudate (left)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the left Caudate	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24381	Mean CBF in Putamen (right)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the right Putamen	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24382	Mean CBF in Putamen (left)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the left Putamen	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24383	Mean CBF in Thalamus (right)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the right Thalamus	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24384	Mean CBF in Thalamus (left)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean CBF (cerebral blood flow) in the left Thalamus	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24385	Mean ATT in whole brain in grey matter	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the whole brain in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24386	Mean ATT in cortex in grey matter	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the cortex in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24387	Mean ATT in Cerebellum in grey matter (right)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the right Cerebellum in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24388	Mean ATT in Cerebellum in grey matter (left)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the left Cerebellum in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24389	Mean ATT in Frontal Lobe in grey matter (right)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the right Frontal Lobe in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24390	Mean ATT in Frontal Lobe in grey matter (left)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the left Frontal Lobe in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24391	Mean ATT in Occipital Lobe in grey matter (right)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the right Occipital Lobe in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24392	Mean ATT in Occipital Lobe in grey matter (left)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the left Occipital Lobe in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24393	Mean ATT in Parietal Lobe in grey matter (right)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the right Parietal Lobe in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24394	Mean ATT in Parietal Lobe in grey matter (left)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the left Parietal Lobe in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24395	Mean ATT in Temporal Lobe in grey matter (right)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the right Temporal Lobe in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24396	Mean ATT in Temporal Lobe in grey matter (left)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the left Temporal Lobe in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24397	Mean ATT in Internal Carotid Artery vascular territory in grey matter (right)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the right Internal Carotid Artery vascular territory in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24398	Mean ATT in Internal Carotid Artery vascular territory in grey matter (left)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the left Internal Carotid Artery vascular territory in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24399	Mean ATT in VertebroBasilar Arteries vascular territories in grey matter	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the VertebroBasilar Arteries vascular territories in voxels with >70% grey matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24400	Mean ATT in whole brain in white matter	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the whole brain in voxels with >90% white matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24401	Mean ATT in cerebrum in white matter and >50% cerebral partial volume	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the cerebrum in voxels with >90% white matter partial volume and >50% cerebral partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24402	Mean ATT in cerebrum in white matter (left)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the left cerebrum in voxels with >90% white matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24403	Mean ATT in cerebrum in white matter (right)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the right cerebrum in voxels with >90% white matter partial volume	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24404	Mean ATT in Caudate (right)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the right Caudate	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24405	Mean ATT in Caudate (left)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the left Caudate	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24406	Mean ATT in Putamen (right)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the right Putamen	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24407	Mean ATT in Putamen (left)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the left Putamen	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24408	Mean ATT in Thalamus (right)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the right Thalamus	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24409	Mean ATT in Thalamus (left)	0	2	0	31	0	0	3	1	0	0		119	0	2	2	3	0	0	Precision-weighted mean ATT (arterial transit time) in the left Thalamus	2023-02-03T00:00:00	2023-02-27T00:00:00	5214	5214	0	1	1	1
24418	Whether a temporary protocol change affected SWI	0	2	0	21	11	0	3	1	0	0		109	7	2	2	3	0	0	Whether a temporary protocol change affected the SWI	2023-02-03T00:00:00	2023-02-27T00:00:00	45316	50151	0	1	1	1
24419	Measure of head motion in T1 structural image	0	2	0	31	0	0	3	1	0	0		100	0	2	2	3	0	0	Measure of head motion in T1 structural image	2023-02-03T00:00:00	2023-02-27T00:00:00	49422	54639	0	1	1	1
24420	DVARS Mean S from uncleaned rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	Mean of the S variable from DVARS from the uncleaned (before FIX) rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	44691	49239	0	1	1	1
24421	DVARS Median S from uncleaned rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	Median of the S variable from DVARS from the uncleaned (before FIX) rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	44691	49239	0	1	1	1
24422	DVARS 90th percentile S from uncleaned rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	90th percentile of the S variable from DVARS from the uncleaned (before FIX) rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	44691	49239	0	1	1	1
24423	DVARS Mean D from uncleaned rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	Mean of the D variable from DVARS from the uncleaned (before FIX) rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	44691	49239	0	1	1	1
24424	DVARS Median D from uncleaned rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	Median of the D variable from DVARS from the uncleaned (before FIX) rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	44691	49239	0	1	1	1
24425	DVARS 90th percentile D from uncleaned rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	90th percentile of the D variable from DVARS from the uncleaned (before FIX) rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	44691	49239	0	1	1	1
24426	DVARS Mean SD from uncleaned rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	Mean of the SD variable from DVARS from the uncleaned (before FIX) rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	44691	49239	0	1	1	1
24427	DVARS Median SD from uncleaned rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	Median of the SD variable from DVARS from the uncleaned (before FIX) rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	44691	49239	0	1	1	1
24428	DVARS 90th percentile SD from uncleaned rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	90th percentile of the SD variable from DVARS from the uncleaned (before FIX) rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	44691	49239	0	1	1	1
24429	DVARS Mean S from cleaned rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	Mean of the S variable from DVARS from the cleaned (after FIX) rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	44691	49239	0	1	1	1
24430	DVARS Median S from cleaned rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	Median of the S variable from DVARS from the cleaned (after FIX) rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	44691	49239	0	1	1	1
24431	DVARS 90th percentile S from cleaned rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	90th percentile of the S variable from DVARS from the cleaned (after FIX) rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	44691	49239	0	1	1	1
24432	DVARS Mean D from cleaned rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	Mean of the D variable from DVARS from the cleaned (after FIX) rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	44691	49239	0	1	1	1
24433	DVARS Median D from cleaned rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	Median of the D variable from DVARS from the cleaned (after FIX) rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	44691	49239	0	1	1	1
24434	DVARS 90th percentile D from cleaned rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	90th percentile of the D variable from DVARS from the cleaned (after FIX) rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	44691	49239	0	1	1	1
24435	DVARS Mean SD from cleaned rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	Mean of the SD variable from DVARS from the cleaned (after FIX) rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	44691	49239	0	1	1	1
24436	DVARS Median SD from cleaned rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	Median of the SD variable from DVARS from the cleaned (after FIX) rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	44691	49239	0	1	1	1
24437	DVARS 90th percentile SD from cleaned rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	90th percentile of the SD variable from DVARS from the cleaned (after FIX) rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	44691	49239	0	1	1	1
24438	Mean absolute head motion from rfMRI 	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	Mean absolute head motion from rfMRI calculated by FEAT	2023-02-03T00:00:00	2023-02-27T00:00:00	47354	52447	0	1	1	1
24439	Median absolute head motion from rfMRI 	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	Median absolute head motion from rfMRI calculated by FEAT	2023-02-03T00:00:00	2023-02-27T00:00:00	47354	52447	0	1	1	1
24440	90th percentile of absolute head motion from rfMRI 	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	90th percentile of the absolute head motion from rfMRI calculated by FEAT	2023-02-03T00:00:00	2023-02-27T00:00:00	47354	52447	0	1	1	1
24441	Mean relative head motion from rfMRI 	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	Mean relative head motion from rfMRI calculated by FEAT	2023-02-03T00:00:00	2023-02-27T00:00:00	47354	52447	0	1	1	1
24442	Median relative head motion from rfMRI 	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	Median relative head motion from rfMRI calculated by FEAT	2023-02-03T00:00:00	2023-02-27T00:00:00	47354	52447	0	1	1	1
24443	90th percentile of relative head motion from rfMRI 	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	90th percentile of the relative head motion from rfMRI calculated by FEAT	2023-02-03T00:00:00	2023-02-27T00:00:00	47354	52447	0	1	1	1
24444	Mean absolute head motion from tfMRI 	0	2	0	31	0	0	3	1	0	0		106	0	2	2	3	0	0	Mean absolute head motion from tfMRI calculated by FEAT	2023-02-03T00:00:00	2023-02-27T00:00:00	41257	45555	0	1	1	1
24445	Median absolute head motion from tfMRI 	0	2	0	31	0	0	3	1	0	0		106	0	2	2	3	0	0	Median absolute head motion from tfMRI calculated by FEAT	2023-02-03T00:00:00	2023-02-27T00:00:00	41257	45555	0	1	1	1
24446	90th percentile of absolute head motion from tfMRI 	0	2	0	31	0	0	3	1	0	0		106	0	2	2	3	0	0	90th percentile of the absolute head motion from tfMRI calculated by FEAT	2023-02-03T00:00:00	2023-02-27T00:00:00	41257	45555	0	1	1	1
24447	Mean relative head motion from tfMRI 	0	2	0	31	0	0	3	1	0	0		106	0	2	2	3	0	0	Mean relative head motion from tfMRI calculated by FEAT	2023-02-03T00:00:00	2023-02-27T00:00:00	41257	45555	0	1	1	1
24448	Median relative head motion from tfMRI 	0	2	0	31	0	0	3	1	0	0		106	0	2	2	3	0	0	Median relative head motion from tfMRI calculated by FEAT	2023-02-03T00:00:00	2023-02-27T00:00:00	41257	45555	0	1	1	1
24449	90th percentile of relative head motion from tfMRI 	0	2	0	31	0	0	3	1	0	0		106	0	2	2	3	0	0	90th percentile of the relative head motion from tfMRI calculated by FEAT	2023-02-03T00:00:00	2023-02-27T00:00:00	41257	45555	0	1	1	1
24450	Mean absolute head motion from dMRI 	0	2	0	31	0	0	3	1	0	0		107	0	2	2	3	0	0	Mean absolute head motion from dMRI calculated by Eddy	2023-02-03T00:00:00	2023-02-27T00:00:00	47471	52573	0	1	1	1
24451	Median absolute head motion from dMRI 	0	2	0	31	0	0	3	1	0	0		107	0	2	2	3	0	0	Median absolute head motion from dMRI calculated by Eddy	2023-02-03T00:00:00	2023-02-27T00:00:00	47471	52573	0	1	1	1
24452	90th percentile of absolute head motion from dMRI 	0	2	0	31	0	0	3	1	0	0		107	0	2	2	3	0	0	90th percentile of the absolute head motion from dMRI calculated by Eddy	2023-02-03T00:00:00	2023-02-27T00:00:00	47471	52573	0	1	1	1
24453	Mean relative head motion from dMRI 	0	2	0	31	0	0	3	1	0	0		107	0	2	2	3	0	0	Mean relative head motion from dMRI calculated by Eddy	2023-02-03T00:00:00	2023-02-27T00:00:00	47471	52573	0	1	1	1
24454	Median relative head motion from dMRI 	0	2	0	31	0	0	3	1	0	0		107	0	2	2	3	0	0	Median relative head motion from dMRI calculated by Eddy	2023-02-03T00:00:00	2023-02-27T00:00:00	47471	52573	0	1	1	1
24455	90th percentile of relative head motion from dMRI 	0	2	0	31	0	0	3	1	0	0		107	0	2	2	3	0	0	90th percentile of the relative head motion from dMRI calculated by Eddy	2023-02-03T00:00:00	2023-02-27T00:00:00	47471	52573	0	1	1	1
24456	Number of slices that Eddy estimated to be outliers in dMRI data	0	2	0	11	0	0	3	1	0	0		107	0	2	2	3	0	0	Number of slices that Eddy estimated to be outliers in the dMRI data	2023-02-03T00:00:00	2023-02-27T00:00:00	47471	52573	0	1	1	1
24457	Mean of mean (across space) in-plane displacement from rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	Mean (across time) of the mean (across space) in-plane displacement from rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	47354	52447	0	1	1	1
24458	Median of mean (across space) in-plane displacement from rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	Median (across time) of the mean (across space) in-plane displacement from rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	47354	52447	0	1	1	1
24459	90th percentile of mean (across space) in-plane displacement from rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	90th percentile (across time) of the mean (across space) in-plane displacement from rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	47354	52447	0	1	1	1
24460	Mean of mean (across space) of Z displacement from rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	Mean (across time) of the mean (across space) of Z displacement from rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	47354	52447	0	1	1	1
24461	Median of mean (across space) of Z displacement from rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	Median (across time) of the mean (across space) of Z displacement from rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	47354	52447	0	1	1	1
24462	90th percentile of mean (across space) of Z displacement from rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	90th percentile (across time) of the mean (across space) of Z displacement from rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	47354	52447	0	1	1	1
24463	Median of mean (across time) in-plane displacement from rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	Median (across space) of the mean (across time) in-plane displacement from rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	47354	52447	0	1	1	1
24464	90th percentile of mean (across time) in-plane displacement from rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	90th percentile (across space) of the mean (across time) in-plane displacement from rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	47354	52447	0	1	1	1
24465	Median of mean (across time) of Z displacement from rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	Median (across space) of the mean (across time) of Z displacement from rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	47354	52447	0	1	1	1
24466	90th percentile of mean (across time) of Z displacement from rfMRI	0	2	0	31	0	0	3	1	0	0		111	0	2	2	3	0	0	90th percentile (across space) of the mean (across time) of Z displacement from rfMRI	2023-02-03T00:00:00	2023-02-27T00:00:00	47354	52447	0	1	1	1
24467	Median magnetic susceptibility in thalamus (left)	0	2	0	31	0	0	3	1	0	0		109	0	2	2	3	0	0	Median magnetic susceptibility in left thalamus (from QSM processing of SWI data)	2023-02-03T00:00:00	2023-02-27T00:00:00	42025	46280	0	1	1	1
24468	Median magnetic susceptibility in thalamus (right)	0	2	0	31	0	0	3	1	0	0		109	0	2	2	3	0	0	Median magnetic susceptibility in right thalamus (from QSM processing of SWI data)	2023-02-03T00:00:00	2023-02-27T00:00:00	42025	46280	0	1	1	1
24469	Median magnetic susceptibility in caudate (left)	0	2	0	31	0	0	3	1	0	0		109	0	2	2	3	0	0	Median magnetic susceptibility in left caudate (from QSM processing of SWI data)	2023-02-03T00:00:00	2023-02-27T00:00:00	42025	46280	0	1	1	1
24470	Median magnetic susceptibility in caudate (right)	0	2	0	31	0	0	3	1	0	0		109	0	2	2	3	0	0	Median magnetic susceptibility in right caudate (from QSM processing of SWI data)	2023-02-03T00:00:00	2023-02-27T00:00:00	42025	46280	0	1	1	1
24471	Median magnetic susceptibility in putamen (left)	0	2	0	31	0	0	3	1	0	0		109	0	2	2	3	0	0	Median magnetic susceptibility in left putamen (from QSM processing of SWI data)	2023-02-03T00:00:00	2023-02-27T00:00:00	42025	46280	0	1	1	1
24472	Median magnetic susceptibility in putamen (right)	0	2	0	31	0	0	3	1	0	0		109	0	2	2	3	0	0	Median magnetic susceptibility in right putamen (from QSM processing of SWI data)	2023-02-03T00:00:00	2023-02-27T00:00:00	42025	46280	0	1	1	1
24473	Median magnetic susceptibility in pallidum (left)	0	2	0	31	0	0	3	1	0	0		109	0	2	2	3	0	0	Median magnetic susceptibility in left pallidum (from QSM processing of SWI data)	2023-02-03T00:00:00	2023-02-27T00:00:00	42025	46280	0	1	1	1
24474	Median magnetic susceptibility in pallidum (right)	0	2	0	31	0	0	3	1	0	0		109	0	2	2	3	0	0	Median magnetic susceptibility in right pallidum (from QSM processing of SWI data)	2023-02-03T00:00:00	2023-02-27T00:00:00	42025	46280	0	1	1	1
24475	Median magnetic susceptibility in hippocampus (left)	0	2	0	31	0	0	3	1	0	0		109	0	2	2	3	0	0	Median magnetic susceptibility in left hippocampus (from QSM processing of SWI data)	2023-02-03T00:00:00	2023-02-27T00:00:00	42025	46280	0	1	1	1
24476	Median magnetic susceptibility in hippocampus (right)	0	2	0	31	0	0	3	1	0	0		109	0	2	2	3	0	0	Median magnetic susceptibility in right hippocampus (from QSM processing of SWI data)	2023-02-03T00:00:00	2023-02-27T00:00:00	42025	46280	0	1	1	1
24477	Median magnetic susceptibility in amygdala (left)	0	2	0	31	0	0	3	1	0	0		109	0	2	2	3	0	0	Median magnetic susceptibility in left amygdala (from QSM processing of SWI data)	2023-02-03T00:00:00	2023-02-27T00:00:00	42025	46280	0	1	1	1
24478	Median magnetic susceptibility in amygdala (right)	0	2	0	31	0	0	3	1	0	0		109	0	2	2	3	0	0	Median magnetic susceptibility in right amygdala (from QSM processing of SWI data)	2023-02-03T00:00:00	2023-02-27T00:00:00	42025	46280	0	1	1	1
24479	Median magnetic susceptibility in accumbens (left)	0	2	0	31	0	0	3	1	0	0		109	0	2	2	3	0	0	Median magnetic susceptibility in left accumbens (from QSM processing of SWI data)	2023-02-03T00:00:00	2023-02-27T00:00:00	42025	46280	0	1	1	1
24480	Median magnetic susceptibility in accumbens (right)	0	2	0	31	0	0	3	1	0	0		109	0	2	2	3	0	0	Median magnetic susceptibility in right accumbens (from QSM processing of SWI data)	2023-02-03T00:00:00	2023-02-27T00:00:00	42025	46280	0	1	1	1
24481	Median magnetic susceptibility in substantia nigra (left)	0	2	0	31	0	0	3	1	0	0		109	0	2	2	3	0	0	Median magnetic susceptibility in left substantia nigra (from QSM processing of SWI data)	2023-02-03T00:00:00	2023-02-27T00:00:00	42025	46280	0	1	1	1
24482	Median magnetic susceptibility in substantia nigra (right)	0	2	0	31	0	0	3	1	0	0		109	0	2	2	3	0	0	Median magnetic susceptibility in right substantia nigra (from QSM processing of SWI data)	2023-02-03T00:00:00	2023-02-27T00:00:00	42025	46280	0	1	1	1
24483	Median T2star in substantia nigra (left)	0	2	0	31	0	0	3	1	0	0		109	0	2	2	3	0	0	Median T2star in left substantia nigra (from SWI data)	2023-02-03T00:00:00	2023-02-27T00:00:00	42022	46277	0	1	1	1
24484	Median T2star in substantia nigra (right)	0	2	0	31	0	0	3	1	0	0		109	0	2	2	3	0	0	Median T2star in right substantia nigra (from SWI data)	2023-02-03T00:00:00	2023-02-27T00:00:00	42022	46277	0	1	1	1
24485	Total volume of peri-ventricular white matter hyperintensities	0	2	0	31	0	0	3	1	0	0	mm3	112	0	2	2	3	0	0	Total volume of peri-ventricular white matter hyperintensities (from T1 and T2_FLAIR images)	2023-02-03T00:00:00	2023-02-27T00:00:00	45192	49763	0	1	1	1
24486	Total volume of deep white matter hyperintensities	0	2	0	31	0	0	3	1	0	0	mm3	112	0	2	2	3	0	0	Total volume of deep white matter hyperintensities (from T1 and T2_FLAIR images)	2023-02-03T00:00:00	2023-02-27T00:00:00	45192	49763	0	1	1	1
24500	Greenspace percentage, buffer 1000m	0	0	0	31	0	0	3	1	0	0	percent	151	0	2	0	1	0	0	The percentage of the home location buffer classed as 'Greenspace', as a proportion of all land-use types, and with home location data buffered at 1000m. <p> Land use data were obtained from the Generalized land use database for England (GLUD) 2005 data at the 2001 Census Output Area level. Each home location polygon was then allocated an area weighted mean of the land use percentage coverage for the 2001 Census Output Areas intersecting the home location buffer. Data are only available for participants whose home location was in England. <p> Further details of the methods used to derive these data can be found in ~R15374~, where this field is derived from variables referred to as gs1000_0 and gs1000_1.	2017-09-13T00:00:00	2017-10-18T00:00:00	440900	461069	120	1	1	1
24501	Domestic garden percentage, buffer 1000m	0	0	0	31	0	0	3	1	0	0	percent	151	0	2	0	1	0	0	The percentage of the home location buffer classed as 'Domestic garden', as a proportion of all land-use types, and with home location data buffered at 1000m. <p> Land use data were obtained from the Generalized land use database for England (GLUD) 2005 data at the 2001 Census Output Area level. Each home location polygon was then allocated an area weighted mean of the land use percentage coverage for the 2001 Census Output Areas intersecting the home location buffer. Data are only available for participants whose home location was in England. <p> Further details of the methods used to derive these data can be found in ~R15374~, where his field is derived from variables referred to as grd1000_0 and grd1000_1.	2017-09-13T00:00:00	2017-10-18T00:00:00	440900	461069	140	1	1	1
24502	Water percentage, buffer 1000m	0	0	0	31	0	0	3	1	0	0	percent	151	0	2	0	1	0	0	The percentage of the home location buffer classed as 'Water', as a proportion of all land-use types, and with home location data buffered at 1000m. <p> Land use data were obtained from the Generalized land use database for England (GLUD) 2005 data at the 2001 Census Output Area level. Each home location polygon was then allocated an area weighted mean of the land use percentage coverage for the 2001 Census Output Areas intersecting the home location buffer. Data are only available for participants whose home location was in England. <p> Further details of the methods used to derive these data can be found in ~R15374~, where this field is derived from variables referred to as wa1000_0 and wa1000_1.	2017-09-13T00:00:00	2017-10-18T00:00:00	440900	461069	160	1	1	1
24503	Greenspace percentage, buffer 300m	0	0	0	31	0	0	3	1	0	0	percent	151	0	2	0	1	0	0	The percentage of the home location buffer classed as 'Greenspace', as a proportion of all land-use types, and with home location data buffered at 300m. <p> Land use data were obtained from the Generalized land use database for England (GLUD) 2005 data at the 2001 Census Output Area level. Each home location polygon was then allocated an area weighted mean of the land use percentage coverage for the 2001 Census Output Areas intersecting the home location buffer. Data are only available for participants whose home location was in England. <p> Further details of the methods used to derive these data can be found in ~R15374~, where this field is derived from variables referred to as gs300_0 and gs300_1.	2017-09-13T00:00:00	2017-10-18T00:00:00	440900	461069	130	1	1	1
24504	Domestic garden percentage, buffer 300m	0	0	0	31	0	0	3	1	0	0	percent	151	0	2	0	1	0	0	The percentage of the home location buffer classed as 'Domestic garden', as a proportion of all land-use types, and with home location data buffered at 300m. <p> Land use data were obtained from the Generalized land use database for England (GLUD) 2005 data at the 2001 Census Output Area level. Each home location polygon was then allocated an area weighted mean of the land use percentage coverage for the 2001 Census Output Areas intersecting the home location buffer. Data are only available for participants whose home location was in England. <p> Further details of the methods used to derive these data can be found in ~R15374~, where this field is derived from variables referred to as grd300_0 and grd300_1.	2017-09-13T00:00:00	2017-10-18T00:00:00	440900	461069	150	1	1	1
24505	Water percentage, buffer 300m	0	0	0	31	0	0	3	1	0	0	percent	151	0	2	0	1	0	0	The percentage of the home location buffer classed as 'Water', as a proportion of all land-use types, and with home location data buffered at 300m. <p> Land use data were obtained from the Generalized land use database for England (GLUD) 2005 data at the 2001 Census Output Area level. Each home location polygon was then allocated an area weighted mean of the land use percentage coverage for the 2001 Census Output Areas intersecting the home location buffer. Data are only available for participants whose home location was in England. <p> Further details of the methods used to derive these data can be found in ~R15374~, where this field is derived from variables referred to as wa300_0 and wa300_1.	2017-09-13T00:00:00	2017-10-18T00:00:00	440900	461069	170	1	1	1
24506	Natural environment percentage, buffer 1000m	0	0	0	31	0	0	3	1	0	0	percent	151	0	2	0	1	0	0	The percentage of the home location buffer classed as 'Natural Environment' in the Land Cover Map (LCM) 2007, and with home location data buffered at 1000m. <p> Land use data were obtained from the Land Cover Map, 2007, and the 23 land cover classes were reclassified to a binary classification; classes 1-2 ('Natural Environment'), and 22-23 ('Built environment'). <p> Further details of the methods used to derive these data can be found in ~R15374~, where this field is derived from variables referred to as ne1000_0 and ne1000_1.	2017-09-13T00:00:00	2017-10-18T00:00:00	497554	517733	100	1	1	1
24507	Natural environment percentage, buffer 300m	0	0	0	31	0	0	3	1	0	0	percent	151	0	2	0	1	0	0	The percentage of the home location buffer classed as 'Natural Environment' in the Land Cover Map (LCM) 2007, and with home location data buffered at 300m. <p> Land use data were obtained from the Land Cover Map, 2007, and the 23 land cover classes were reclassified to a binary classification; classes 1-2 ('Natural Environment'), and 22-23 ('Built environment'). <p> Further details of the methods used to derive these data can be found in ~R15374~, where this field is derived from variables referred to as ne300_0 and ne300_1.	2017-09-13T00:00:00	2017-10-18T00:00:00	497554	517733	110	1	1	1
24508	Distance (Euclidean) to coast	0	0	0	31	0	0	3	1	0	0	Kilometres	151	0	2	0	1	0	0	Distance from each UK Biobank participant's residence location to the coast, measured in Kilometres (Km). <p> Further details of the methods used to derive these data can be found in ~R15374~, where this field is derived from variables referred to as coastkm_0 and coastkm_1.	2017-09-13T00:00:00	2017-10-18T00:00:00	497554	517733	180	1	1	1
24600	Device ID	0	0	1	41	0	0	0	1	0	0		349	0	2	2	3	0	0	The unique ID tied to the kit which is assigned to participant.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24601	Starting Timestamp	0	0	1	61	0	0	0	1	0	0		349	0	2	2	3	0	0	First timestamp in the edf files.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24602	Calculated Duration	0	0	1	11	0	0	0	1	0	0	minutes	349	0	2	2	3	0	0	Last timestamp - first timestamp in minutes (seconds rounded down).	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24603	Total Analysable Time	0	0	1	11	0	0	0	1	0	0	minutes	349	0	2	2	3	0	0	The total number of minutes of analysable data for the study.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24604	Longest Continuous Analysable Period	0	0	1	11	0	0	0	1	0	0	minutes	349	0	2	2	3	0	0	Longest continuous period of analysable time in minutes.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24605	Wear Time	0	0	1	11	0	0	0	1	0	0	minutes	349	0	2	2	3	0	0	The number of minutes the monitor was worn.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24606	Heart Rate - Maximum	0	0	1	11	0	0	0	1	0	0	bpm	349	0	2	2	3	0	0	Maximum heart rate (bpm) during sinus rhythm. Measured over 8 QRS complexes.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24607	Heart Rate - Minimum	0	0	1	11	0	0	0	1	0	0	bpm	349	0	2	2	3	0	0	Minimum heart rate (bpm) during sinus rhythm. Measured over 8 QRS complexes.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24608	Heart Rate - Average	0	0	1	11	0	0	0	1	0	0	bpm	349	0	2	2	3	0	0	Average heart rate (bpm) measured during sinus rhythm periods.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24609	AFib - First Occurrence Timestamp	0	0	1	61	0	0	0	1	0	0		349	0	2	2	3	0	0	Timestamp of first detected episode of atrial fibrillation > 30 seconds in duration.	2022-03-09T00:00:00	2023-02-28T00:00:00	157	157	0	2	2	2
24610	AFib - Maximum Heart Rate	0	0	1	11	0	0	0	1	0	0	bpm	349	0	2	2	3	0	0	Maximum heart rate (bpm) during episodes of atrial fibrillation (> 30 seconds).	2022-03-09T00:00:00	2023-02-28T00:00:00	157	157	0	2	2	2
24611	AFib - Minimum Heart Rate	0	0	1	11	0	0	0	1	0	0	bpm	349	0	2	2	3	0	0	Minimum heart rate (bpm) during episodes of atrial fibrillation (> 30 seconds).	2022-03-09T00:00:00	2023-02-28T00:00:00	157	157	0	2	2	2
24612	AFib - Duration of the Longest Episode	0	0	1	11	0	0	0	1	0	0	minutes	349	0	2	2	3	0	0	Duration of the longest detected episode (measured in minutes) of atrial fibrillation (> 30 seconds). For paroxysmal periods of atrial fibrillation, if the conversion from lasts for 1 minute and longer, we count the next one as a separate paroxysm, not continuation of the former one.	2022-03-09T00:00:00	2023-02-28T00:00:00	157	157	0	2	2	2
24613	AFib - Burden	0	0	1	31	0	0	0	1	0	0	hours	349	0	2	2	3	0	0	Atrial fibrillation (> 30 seconds) burden in hours over entire monitoring period.	2022-03-09T00:00:00	2023-02-28T00:00:00	157	157	0	2	2	2
24614	AFib - Total Episode Count	0	0	1	11	0	0	0	1	0	0		349	0	2	2	3	0	0	Count of number of atrial fibrillation episodes >30 seconds in duration.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24615	AFib - Total Duration	0	0	1	11	0	0	0	1	0	0	minutes	349	0	2	2	3	0	0	Total of duration (measured in minutes) of all episodes of detected atrial fibrillation > 30 seconds in duration.	2022-03-09T00:00:00	2023-02-28T00:00:00	157	157	0	2	2	2
24616	AFlut - First Occurrence Timestamp	0	0	1	61	0	0	0	1	0	0		349	0	2	2	3	0	0	Timestamp of first detected episode of typical atrial flutter.	2022-03-09T00:00:00	2023-02-28T00:00:00	7	7	0	2	2	2
24617	AFlut - Maximum Heart Rate	0	0	1	11	0	0	0	1	0	0	bpm	349	0	2	2	3	0	0	Maximum heart rate (bpm) during detected atrial flutter episodes.	2022-03-09T00:00:00	2023-02-28T00:00:00	7	7	0	2	2	2
24618	AFlut - Minimum Heart Rate	0	0	1	11	0	0	0	1	0	0	bpm	349	0	2	2	3	0	0	Minimum heart rate (bpm) during detected atrial flutter episodes.	2022-03-09T00:00:00	2023-02-28T00:00:00	7	7	0	2	2	2
24619	AFlut - Duration of the Longest Episode	0	0	1	11	0	0	0	1	0	0	minutes	349	0	2	2	3	0	0	Duration of the longest detected episode (measured in minutes) of atrial flutter.	2022-03-09T00:00:00	2023-02-28T00:00:00	7	7	0	2	2	2
24620	AFlut - Burden	0	0	1	31	0	0	0	1	0	0	hours	349	0	2	2	3	0	0	Atrial flutter burden over entire monitoring period in hours.	2022-03-09T00:00:00	2023-02-28T00:00:00	7	7	0	2	2	2
24621	AFlut - Total Episode Count	0	0	1	11	0	0	0	1	0	0		349	0	2	2	3	0	0	Total number of detected episodes of atrial flutter.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24622	AFlut - Total Duration	0	0	1	11	0	0	0	1	0	0	minutes	349	0	2	2	3	0	0	Total of duration (measured in minutes) of all episodes of detected atrial flutter.	2022-03-09T00:00:00	2023-02-28T00:00:00	7	7	0	2	2	2
24623	SVT - Total Episode Count	0	0	1	11	0	0	0	1	0	0		349	0	2	2	3	0	0	Total number of detected episodes of supraventricular tachycardia (SVT) >30 seconds in duration.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24624	SVT - First Occurrence Timestamp	0	0	1	61	0	0	0	1	0	0		349	0	2	2	3	0	0	Timestamp of start of first detected episode of supraventricular tachycardia (SVT) >30 seconds in duration.	2022-03-09T00:00:00	2023-02-28T00:00:00	186	188	0	2	2	2
24625	SVT - Maximum Heart Rate	0	0	1	11	0	0	0	1	0	0	bpm	349	0	2	2	3	0	0	Maximum heart rate (bpm) detected during all supraventricular tachycardia (SVT) episodes >30 seconds in duration.	2022-03-09T00:00:00	2023-02-28T00:00:00	186	188	0	2	2	2
24626	SVT - Longest Episode Duration	0	0	1	11	0	0	0	1	0	0	minutes	349	0	2	2	3	0	0	Duration (measured in minutes) of longest episode of detected supraventricular tachycardia (SVT) >30 seconds in duration.	2022-03-09T00:00:00	2023-02-28T00:00:00	186	188	0	2	2	2
24627	SVT - Longest Episode Beat Counts	0	0	1	11	0	0	0	1	0	0	heart beats	349	0	2	2	3	0	0	Count of heart beats during longest episode of detected supraventricular tachycardia (SVT) >30 seconds in duration.	2022-03-09T00:00:00	2023-02-28T00:00:00	186	188	0	2	2	2
24628	Pauses - Total episode count	0	0	1	11	0	0	0	1	0	0		349	0	2	2	3	0	0	Count of all types of pauses >3 seconds in duration.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24629	Pauses - First Occurrence Timestamp	0	0	1	61	0	0	0	1	0	0		349	0	2	2	3	0	0	Timestamp of the start of the first detected pause >3 seconds in duration.	2022-03-09T00:00:00	2023-02-28T00:00:00	68	68	0	2	2	2
24630	Pauses - Longest Episode Duration	0	0	1	11	0	0	0	1	0	0	milliseconds	349	0	2	2	3	0	0	Duration (measured in milliseconds) of the longest detected pause >3 seconds in duration.	2022-03-09T00:00:00	2023-02-28T00:00:00	68	68	0	2	2	2
24631	VF - Total Episode Count	0	0	1	11	0	0	0	1	0	0		349	0	2	2	3	0	0	Total number of detected episodes of ventricular fibrillation.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24632	VF - Longest Episode Duration	0	0	1	11	0	0	0	1	0	0	seconds	349	0	2	0	0	0	0	Duration (measured in seconds) of the longest detected episode of ventricular fibrillation.	2022-03-09T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	2	2
24633	VT - Total Episode Count	0	0	1	11	0	0	0	1	0	0		349	0	2	2	3	0	0	Number of detected episodes of ventricular tachycardia (VT) using > 100 bpm threshold over 3 QRS complexes.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24634	VT - Longest Episode Duration	0	0	1	11	0	0	0	1	0	0	seconds	349	0	2	2	3	0	0	Longest episode (measured in seconds) of ventricular tachycardia (VT) > 100 bpm threshold over 3 QRS complexes.	2022-03-09T00:00:00	2023-02-28T00:00:00	886	890	0	2	2	2
24635	IVR - Total Episode Count	0	0	1	11	0	0	0	1	0	0		349	0	2	2	3	0	0	Number of detected episodes of idioventricular rhythm (IVR) using a rate of 40-100 bpm.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24636	IVR - Longest Episode Duration	0	0	1	11	0	0	0	1	0	0	seconds	349	0	2	2	3	0	0	Longest episode (measured in seconds) of idioventricular rhythm (IVR) using a rate of 40-100 bpm.	2022-03-09T00:00:00	2023-02-28T00:00:00	334	334	0	2	2	2
24637	AV Block 1 - Presence	0	0	1	21	11	0	0	1	0	0		349	12	2	2	3	0	0	Presence of first degree atrioventricular (AV) block.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24638	AV Block 1 - Longest PQ  interval	0	0	1	31	0	0	0	1	0	0	seconds	349	0	2	2	3	0	0	Duration of longest PQ interval in seconds during first degree atrioventricular (AV) block.	2022-03-09T00:00:00	2023-02-28T00:00:00	1382	1388	0	2	2	2
24639	AV Block 2 - Total Count	0	0	1	11	0	0	0	1	0	0		349	0	2	2	3	0	0	Total count of all detected episodes of 2nd degree atrioventricular (AV) block.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24640	AV Block 2 - Minimum Heart Rate	0	0	1	11	0	0	0	1	0	0	bpm	349	0	2	2	3	0	0	Minimum heart rate (bpm) detected during any episode of 2nd degree atrioventricular (AV) block.	2022-03-09T00:00:00	2023-02-28T00:00:00	149	149	0	2	2	2
24641	AV Block 2 - First Occurrence Timestamp	0	0	1	61	0	0	0	1	0	0		349	0	2	2	3	0	0	Timestamp of start of first detected episode of 2nd degree atrioventricular (AV) block.	2022-03-09T00:00:00	2023-02-28T00:00:00	149	149	0	2	2	2
24642	AV Block 2 - Longest RR	0	0	1	31	0	0	0	1	0	0	seconds	349	0	2	2	3	0	0	Duration in seconds of longest RR interval during an episode of 2nd degree atrioventricular (AV) block.	2022-03-09T00:00:00	2023-02-28T00:00:00	149	149	0	2	2	2
24643	AV Block 3 - Total Count	0	0	1	11	0	0	0	1	0	0		349	0	2	2	3	0	0	Total count of all detected episodes of 3rd degree atrioventricular (AV) block.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24644	AV Block 3 - Minimum Heart Rate	0	0	1	11	0	0	0	1	0	0	bpm	349	0	2	2	2	0	0	Minimum heart rate (bpm) detected during any episode of 3rd degree atrioventricular (AV) block.	2022-03-09T00:00:00	2023-02-28T00:00:00	1	1	0	2	2	2
24645	AV Block 3 - First Occurrence Timestamp	0	0	1	61	0	0	0	1	0	0		349	0	2	2	2	0	0	Timestamp of the start of the first detected episode of 3rd degree atrioventricular (AV) block.	2022-03-09T00:00:00	2023-02-28T00:00:00	1	1	0	2	2	2
24646	AV Block 3 - Longest RR	0	0	1	31	0	0	0	1	0	0	seconds	349	0	2	2	2	0	0	Duration in seconds of longest RR interval during 3rd degree atrioventricular (AV) block.	2022-03-09T00:00:00	2023-02-28T00:00:00	1	1	0	2	2	2
24647	Isolated VE - Total Count	0	0	1	11	0	0	0	1	0	0		349	0	2	2	3	0	0	Total count of detected isolated ventricular ectopic beats (VEs).	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24648	Isolated VE - Percentage	0	0	1	31	0	0	0	1	0	0	percent	349	0	2	2	3	0	0	Number of isolated ventricular ectopic beats (VEs) divided by overall number of QRS complexes.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24649	Isolated SVE - Total Count	0	0	1	11	0	0	0	1	0	0		349	0	2	2	3	0	0	Total count of detected isolated supraventricular ectopic beats (SVEs).	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24650	Isolated SVE - Percentage	0	0	1	31	0	0	0	1	0	0	percent	349	0	2	2	3	0	0	Number of isolated supraventricular ectopic beats (SVEs) divided by overall number of QRS complexes.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24651	VE Couplets - Total Count	0	0	1	11	0	0	0	1	0	0		349	0	2	2	3	0	0	Total count of ventricular ectopic (VE) couplets detected.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24652	VE Couplets - Percentage	0	0	1	31	0	0	0	1	0	0	percent	349	0	2	2	3	0	0	Number of ventricular ectopic (VE) couplets divided by overall number of QRS complexes.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24653	SVE Couplets - Total Count	0	0	1	11	0	0	0	1	0	0		349	0	2	2	3	0	0	Total count of supraventricular ectopic (SVEs) couplets detected.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24654	SVE Couplets - Percentage	0	0	1	31	0	0	0	1	0	0	percent	349	0	2	2	3	0	0	Number of supraventricular ectopic (SVEs) couplets divided by overall number of QRS complexes.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24655	VE Triplets - Total Count	0	0	1	11	0	0	0	1	0	0		349	0	2	2	3	0	0	Total count of ventricular ectopic (VE) triplets detected.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24656	VE Triplets - Percentage	0	0	1	31	0	0	0	1	0	0	percent	349	0	2	2	3	0	0	Number of ventricular ectopic (VE) triplets divided by overall number of QRS complexes.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24657	SVE Triplets - Total Count	0	0	1	11	0	0	0	1	0	0		349	0	2	2	3	0	0	Total count of supraventricular ectopic (SVEs) triplets detected.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24658	SVE Triplets - Percentage	0	0	1	31	0	0	0	1	0	0	percent	349	0	2	2	3	0	0	Number of supraventricular ectopic (SVEs) triplets divided by overall number of QRS complexes.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24659	Bigeminy - Presence	0	0	1	21	11	0	0	1	0	0		349	12	2	2	3	0	0	Presence of ventricular bigeminy detected after 3 cycles.  Only ventricular ectopic (VE) bigeminy is calculated.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24660	Trigeminy - Presence	0	0	1	21	11	0	0	1	0	0		349	12	2	2	3	0	0	Presence of ventricular trigeminy detected after 3 cycles.  Only ventricular ectopic (VE) trigeminy is calculated.	2022-03-09T00:00:00	2023-02-28T00:00:00	6324	6355	0	2	2	2
24661	Summary analysis data (result file csv)	0	2	1	41	0	20	0	1	0	0		349	0	2	2	3	0	0	Result file csv	2022-11-04T00:00:00	2023-02-05T00:00:00	6324	6355	0	2	2	2
24662	Raw ECG data from monitor (result file edf)	0	2	1	41	0	20	0	1	0	0		349	0	2	2	3	0	0	Result file edf	2022-11-04T00:00:00	2023-02-05T00:00:00	6324	6355	0	2	2	2
24663	Human-readable analysis report (result file pdf)	0	2	1	41	0	20	0	1	0	0		349	0	2	2	3	0	0	Result file pdf	2022-11-04T00:00:00	2023-02-05T00:00:00	6324	6355	0	2	2	2
24664	Hourly summary and QT (result file xml)	0	2	1	41	0	20	0	1	0	0		349	0	2	2	3	0	0	Result file report	2022-11-04T00:00:00	2023-02-05T00:00:00	6324	6355	0	2	2	2
24665	Episodic data for specific arrhythmia (result file xml)	0	2	1	41	0	20	0	1	0	0		349	0	2	2	3	0	0	Result file xml	2022-11-04T00:00:00	2023-02-05T00:00:00	6324	6355	0	2	2	2
24700	Device ID	0	0	1	41	0	0	0	1	0	0		348	0	2	2	2	0	0	The unique ID of the device worn by the participant	2022-03-09T00:00:00	2023-03-10T00:00:00	7781	7781	0	2	2	2
24701	Start Date	0	0	1	51	0	0	0	1	0	0		348	0	2	2	2	0	0	The starting date that the device was worn.	2022-03-09T00:00:00	2023-03-10T00:00:00	7781	7781	0	2	2	2
24702	Wear Time	0	0	1	31	0	0	0	1	0	0	days	348	0	2	2	2	0	0	Duration the device was worn in days.	2022-03-09T00:00:00	2023-03-10T00:00:00	7781	7781	0	2	2	2
24703	Analysable Time	0	0	1	31	0	0	0	1	0	0	days	348	0	2	2	2	0	0	Amount of analysable time in days.	2022-03-09T00:00:00	2023-03-10T00:00:00	7781	7781	0	2	2	2
24704	Heart rate - Maximum	0	0	1	11	0	0	0	1	0	0	bpm	348	0	2	2	2	0	0	Maximum heart rate (bpm).	2022-03-09T00:00:00	2023-03-10T00:00:00	7781	7781	0	2	2	2
24705	Heart rate - Minimum	0	0	1	11	0	0	0	1	0	0	bpm	348	0	2	2	2	0	0	Minimum heart rate (bpm).	2022-03-09T00:00:00	2023-03-10T00:00:00	7781	7781	0	2	2	2
24706	Heart rate - Average	0	0	1	11	0	0	0	1	0	0	bpm	348	0	2	2	2	0	0	Average heart rate (bpm).	2022-03-09T00:00:00	2023-03-10T00:00:00	7781	7781	0	2	2	2
24707	AFib - Burden	0	0	1	31	0	0	0	1	0	0	percent	348	0	2	2	2	0	0	TBD	2022-03-09T00:00:00	2023-03-10T00:00:00	7781	7781	0	2	2	2
24708	AFib - Maximum Heart Rate	0	0	1	31	0	0	0	1	0	0	bpm	348	0	2	2	2	0	0	Maximum heart rate (bpm) measuring during an episode of atrial fibrillation.	2022-03-09T00:00:00	2023-03-10T00:00:00	7781	7781	0	2	2	2
24709	AFib - Minimum Heart Rate	0	0	1	31	0	0	0	1	0	0	bpm	348	0	2	2	2	0	0	Minimum heart rate (bpm) measuring during an episode of atrial fibrillation.	2022-03-09T00:00:00	2023-03-10T00:00:00	7781	7781	0	2	2	2
24710	AFib - First Occurrence	0	0	1	31	0	0	0	1	0	0	days	348	0	2	2	2	0	0	First occurrence of atrial fibrillation measured by number of elapsed days.	2022-03-09T00:00:00	2023-03-10T00:00:00	7781	7781	0	2	2	2
24711	VT - Total Episode Count	0	0	1	11	0	0	0	1	0	0		348	0	2	2	2	0	0	Total number of ventricular tachycardia (VT) episodes.	2022-03-09T00:00:00	2023-03-10T00:00:00	7781	7781	0	2	2	2
24712	VT - Maximum Heart Rate	0	0	1	31	0	0	0	1	0	0	bpm	348	0	2	2	2	0	0	Maximum heart rate (bpm) measured during an episode of ventricular tachycardia (VT).	2022-03-09T00:00:00	2023-03-10T00:00:00	1663	1663	0	2	2	2
24713	VT - Longest Episode Duration	0	0	1	11	0	0	0	1	0	0	microseconds	348	0	2	2	2	0	0	Longest duration of an episode of ventricular tachycardia (VT) measured in microseconds.	2022-03-09T00:00:00	2023-03-10T00:00:00	1663	1663	0	2	2	2
24714	VT - Longest Episode Beat Count	0	0	1	11	0	0	0	1	0	0	heart beats	348	0	2	2	2	0	0	Number of heart beats measured in the longest episode of ventricular tachycardia (VT).	2022-03-09T00:00:00	2023-03-10T00:00:00	1663	1663	0	2	2	2
24715	VT - First Occurrence	0	0	1	31	0	0	0	1	0	0	days	348	0	2	2	2	0	0	First occurrence of ventricular tachycardia (VT) measured by number of elapsed days.	2022-03-09T00:00:00	2023-03-10T00:00:00	1663	1663	0	2	2	2
24716	SVT - Total Episode Count	0	0	1	11	0	0	0	1	0	0		348	0	2	2	2	0	0	Total number of supraventricular tachycardia (SVT) episodes.	2022-03-09T00:00:00	2023-03-10T00:00:00	7781	7781	0	2	2	2
24717	SVT - Maximum Heart Rate	0	0	1	31	0	0	0	1	0	0	bpm	348	0	2	2	2	0	0	Maximum heart rate (bpm) measured during an episode of supraventricular tachycardia (SVT).	2022-03-09T00:00:00	2023-03-10T00:00:00	6435	6435	0	2	2	2
24718	SVT - Longest Episode Duration	0	0	1	11	0	0	0	1	0	0	microseconds	348	0	2	2	2	0	0	Duration of the longest episode of supraventricular tachycardia (SVT) measured in microseconds.	2022-03-09T00:00:00	2023-03-10T00:00:00	6435	6435	0	2	2	2
24719	SVT - Longest Episode Beat Count	0	0	1	11	0	0	0	1	0	0	heart beats	348	0	2	2	2	0	0	Number of heart beats measured in the longest episode of supraventricular tachycardia (SVT).	2022-03-09T00:00:00	2023-03-10T00:00:00	6435	6435	0	2	2	2
24720	SVT - First Occurrence	0	0	1	31	0	0	0	1	0	0	days	348	0	2	2	2	0	0	First occurrence of supraventricular tachycardia (SVT) measured by number of elapsed days.	2022-03-09T00:00:00	2023-03-10T00:00:00	6435	6435	0	2	2	2
24721	VF - Total Episode Count	0	0	1	11	0	0	0	1	0	0		348	0	2	2	2	0	0	Total number of ventricular fibrillation (VF) episodes recorded.	2022-03-09T00:00:00	2023-03-10T00:00:00	7781	7781	0	2	2	2
24722	VF - Longest Episode Duration	0	0	1	11	0	0	0	1	0	0	microseconds	348	0	2	0	0	0	0	Duration of the longest episode of ventricular fibrillation (VF) measured in microseconds. 	2022-03-09T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	2	2
24723	VF - First Occurrence	0	0	1	31	0	0	0	1	0	0	days	348	0	2	0	0	0	0	First occurrence of ventricular fibrillation (VF) measured by number of elapsed days.	2022-03-09T00:00:00	2000-01-01T00:00:00	-1	-1	0	2	2	2
24724	Pause - Total Count	0	0	1	11	0	0	0	1	0	0		348	0	2	2	2	0	0	Total number of pauses recorded.	2022-03-09T00:00:00	2023-03-10T00:00:00	7781	7781	0	2	2	2
24725	Pause - First Occurrence	0	0	1	31	0	0	0	1	0	0	days	348	0	2	2	2	0	0	First occurrence of a pause measured by number of elapsed days.	2022-03-09T00:00:00	2023-03-10T00:00:00	118	118	0	2	2	2
24726	Pause - Longest Episode Duration	0	0	1	11	0	0	0	1	0	0	microseconds	348	0	2	2	2	0	0	Duration of the longest episode of a pause measured in microseconds.	2022-03-09T00:00:00	2023-03-10T00:00:00	118	118	0	2	2	2
24727	AV Block - Total Count	0	0	1	11	0	0	0	1	0	0		348	0	2	2	2	0	0	Total count of all detected episodes of atrioventricular (AV) block.	2022-03-09T00:00:00	2023-03-10T00:00:00	7781	7781	0	2	2	2
24728	AV Block - Minimum Heart Rate	0	0	1	31	0	0	0	1	0	0	bpm	348	0	2	2	2	0	0	Minimum heart rate (bpm) detected during any episode of atrioventricular (AV) block.	2022-03-09T00:00:00	2023-03-10T00:00:00	154	154	0	2	2	2
24729	AV Block - First Occurrence	0	0	1	31	0	0	0	1	0	0	days	348	0	2	2	2	0	0	First occurrence of atrioventricular (AV) block measured by number of elapsed days.	2022-03-09T00:00:00	2023-03-10T00:00:00	154	154	0	2	2	2
24730	Bigeminy - Total Duration	0	0	1	11	0	0	0	1	0	0	microseconds	348	0	2	2	2	0	0	Total duration of bigeminy measured in microseconds.	2022-03-09T00:00:00	2023-03-10T00:00:00	7781	7781	0	2	2	2
24731	Trigeminy - Total Duration	0	0	1	11	0	0	0	1	0	0	microseconds	348	0	2	2	2	0	0	Total duration of trigeminy measured in microseconds.	2022-03-09T00:00:00	2023-03-10T00:00:00	7781	7781	0	2	2	2
24732	Isolated SVE - Total Count	0	0	1	11	0	0	0	1	0	0		348	0	2	2	2	0	0	Total count of detected isolated supraventricular ectopic beats (SVEs).	2022-03-09T00:00:00	2023-03-10T00:00:00	7781	7781	0	2	2	2
24733	Isolated SVE - Percentage	0	0	1	31	0	0	0	1	0	0	percent	348	0	2	2	2	0	0	TBD	2022-03-09T00:00:00	2023-03-10T00:00:00	7750	7750	0	2	2	2
24734	SVE Couplets - Total Count	0	0	1	11	0	0	0	1	0	0		348	0	2	2	2	0	0	Total count of supraventricular ectopic (SVEs) couplets detected.	2022-03-09T00:00:00	2023-03-10T00:00:00	7781	7781	0	2	2	2
24735	SVE Couplets - Percentage	0	0	1	31	0	0	0	1	0	0	percent	348	0	2	2	2	0	0	TBD	2022-03-09T00:00:00	2023-03-10T00:00:00	7696	7696	0	2	2	2
24736	SVE Triplets - Total Count	0	0	1	11	0	0	0	1	0	0		348	0	2	2	2	0	0	Total count of supraventricular ectopic (SVEs) triplets detected.	2022-03-09T00:00:00	2023-03-10T00:00:00	7781	7781	0	2	2	2
24737	SVE Triplets - Percentage	0	0	1	31	0	0	0	1	0	0	percent	348	0	2	2	2	0	0	TBD	2022-03-09T00:00:00	2023-03-10T00:00:00	5780	5780	0	2	2	2
24738	Isolated VE - Total Count	0	0	1	11	0	0	0	1	0	0		348	0	2	2	2	0	0	Total count of detected isolated ventricular ectopic beats (VEs).	2022-03-09T00:00:00	2023-03-10T00:00:00	7781	7781	0	2	2	2
24739	Isolated VE - Percentage	0	0	1	31	0	0	0	1	0	0	percent	348	0	2	2	2	0	0	TBD	2022-03-09T00:00:00	2023-03-10T00:00:00	7764	7764	0	2	2	2
24740	VE Couplets - Total Count	0	0	1	11	0	0	0	1	0	0		348	0	2	2	2	0	0	Total count of ventricular ectopic (VE) couplets detected.	2022-03-09T00:00:00	2023-03-10T00:00:00	7781	7781	0	2	2	2
24741	VE Couplets - Percentage	0	0	1	31	0	0	0	1	0	0	percent	348	0	2	2	2	0	0	TBD	2022-03-09T00:00:00	2023-03-10T00:00:00	6247	6247	0	2	2	2
24742	VE Triplets - Total Count	0	0	1	11	0	0	0	1	0	0		348	0	2	2	2	0	0	Total count of ventricular ectopic (VE) triplets detected.	2022-03-09T00:00:00	2023-03-10T00:00:00	7781	7781	0	2	2	2
24743	VE Triplets - Percentage	0	0	1	31	0	0	0	1	0	0	percent	348	0	2	2	2	0	0	TBD	2022-03-09T00:00:00	2023-03-10T00:00:00	2087	2087	0	2	2	2
25000	Volumetric scaling from T1 head image to standard space	0	2	0	31	0	0	3	1	0	0	ratio	110	0	2	2	3	0	0	Volumetric scaling from the T1 head image to standard space	2015-10-09T00:00:00	2023-02-27T00:00:00	46535	51182	180	1	1	1
25001	Volume of peripheral cortical grey matter (normalised for head size)	0	2	0	31	0	0	3	1	0	0	mm3	110	0	2	2	3	0	0	Volume of peripheral cortical grey matter (from T1 brain image, normalised for head size)	2015-10-09T00:00:00	2023-02-27T00:00:00	46535	51182	260	1	1	1
25002	Volume of peripheral cortical grey matter	0	2	0	31	0	0	3	1	0	0	mm3	110	0	2	2	3	0	0	Volume of peripheral cortical grey matter (from T1 brain image)	2015-10-09T00:00:00	2023-02-27T00:00:00	46535	51182	250	1	1	1
25003	Volume of ventricular cerebrospinal fluid (normalised for head size)	0	2	0	31	0	0	3	1	0	0	mm3	110	0	2	2	3	0	0	Volume of ventricular cerebrospinal fluid (from T1 brain image, normalised for head size)	2015-10-09T00:00:00	2023-02-27T00:00:00	46535	51182	280	1	1	1
25004	Volume of ventricular cerebrospinal fluid	0	2	0	31	0	0	3	1	0	0	mm3	110	0	2	2	3	0	0	Volume of ventricular cerebrospinal fluid (from T1 brain image)	2015-10-09T00:00:00	2023-02-27T00:00:00	46535	51182	270	1	1	1
25005	Volume of grey matter (normalised for head size)	0	2	0	31	0	0	3	1	0	0	mm3	110	0	2	2	3	0	0	Volume of grey matter (from T1 brain image, normalised for head size)	2015-10-09T00:00:00	2023-02-27T00:00:00	46535	51182	240	1	1	1
25006	Volume of grey matter	0	2	0	31	0	0	3	1	0	0	mm3	110	0	2	2	3	0	0	Volume of grey matter (from T1 brain image)	2015-10-09T00:00:00	2023-02-27T00:00:00	46535	51182	230	1	1	1
25007	Volume of white matter (normalised for head size)	0	2	0	31	0	0	3	1	0	0	mm3	110	0	2	2	3	0	0	Volume of white matter (from T1 brain image, normalised for head size)	2015-10-09T00:00:00	2023-02-27T00:00:00	46535	51182	220	1	1	1
25008	Volume of white matter	0	2	0	31	0	0	3	1	0	0	mm3	110	0	2	2	3	0	0	Volume of white matter (from T1 brain image)	2015-10-09T00:00:00	2023-02-27T00:00:00	46535	51182	210	1	1	1
25009	Volume of brain, grey+white matter (normalised for head size)	0	2	0	31	0	0	3	1	0	0	mm3	110	0	2	2	3	0	0	Volume of brain, grey+white, from T1 brain image, normalised for head size	2015-10-09T00:00:00	2023-02-27T00:00:00	46535	51182	200	1	1	1
25010	Volume of brain, grey+white matter	0	2	0	31	0	0	3	1	0	0	mm3	110	0	2	2	3	0	0	Volume of brain, grey+white, from T1 brain image	2015-10-09T00:00:00	2023-02-27T00:00:00	46535	51182	190	1	1	1
25011	Volume of thalamus (left)	0	2	0	31	0	0	3	1	0	0	mm3	1102	0	2	2	3	0	0	Volume of left thalamus (from T1 brain image)	2015-10-09T00:00:00	2023-02-27T00:00:00	46518	51165	1810	1	1	1
25012	Volume of thalamus (right)	0	2	0	31	0	0	3	1	0	0	mm3	1102	0	2	2	3	0	0	Volume of right thalamus (from T1 brain image)	2015-10-09T00:00:00	2023-02-27T00:00:00	46518	51165	1820	1	1	1
25013	Volume of caudate (left)	0	2	0	31	0	0	3	1	0	0	mm3	1102	0	2	2	3	0	0	Volume of left caudate (from T1 brain image)	2015-10-09T00:00:00	2023-02-27T00:00:00	46518	51165	1730	1	1	1
25014	Volume of caudate (right)	0	2	0	31	0	0	3	1	0	0	mm3	1102	0	2	2	3	0	0	Volume of right caudate (from T1 brain image)	2015-10-09T00:00:00	2023-02-27T00:00:00	46518	51165	1740	1	1	1
25015	Volume of putamen (left)	0	2	0	31	0	0	3	1	0	0	mm3	1102	0	2	2	3	0	0	Volume of left putamen (from T1 brain image)	2015-10-09T00:00:00	2023-02-27T00:00:00	46518	51165	1790	1	1	1
25016	Volume of putamen (right)	0	2	0	31	0	0	3	1	0	0	mm3	1102	0	2	2	3	0	0	Volume of right putamen (from T1 brain image)	2015-10-09T00:00:00	2023-02-27T00:00:00	46518	51165	1800	1	1	1
25017	Volume of pallidum (left)	0	2	0	31	0	0	3	1	0	0	mm3	1102	0	2	2	3	0	0	Volume of left pallidum (from T1 brain image)	2015-10-09T00:00:00	2023-02-27T00:00:00	46518	51165	1770	1	1	1
25018	Volume of pallidum (right)	0	2	0	31	0	0	3	1	0	0	mm3	1102	0	2	2	3	0	0	Volume of right pallidum (from T1 brain image)	2015-10-09T00:00:00	2023-02-27T00:00:00	46518	51165	1780	1	1	1
25019	Volume of hippocampus (left)	0	2	0	31	0	0	3	1	0	0	mm3	1102	0	2	2	3	0	0	Volume of left hippocampus (from T1 brain image)	2015-10-09T00:00:00	2023-02-27T00:00:00	46518	51165	1750	1	1	1
25020	Volume of hippocampus (right)	0	2	0	31	0	0	3	1	0	0	mm3	1102	0	2	2	3	0	0	Volume of right hippocampus (from T1 brain image)	2015-10-09T00:00:00	2023-02-27T00:00:00	46518	51165	1760	1	1	1
25021	Volume of amygdala (left)	0	2	0	31	0	0	3	1	0	0	mm3	1102	0	2	2	3	0	0	Volume of left amygdala (from T1 brain image)	2015-10-09T00:00:00	2023-02-27T00:00:00	46518	51165	1710	1	1	1
25022	Volume of amygdala (right)	0	2	0	31	0	0	3	1	0	0	mm3	1102	0	2	2	3	0	0	Volume of right amygdala (from T1 brain image)	2015-10-09T00:00:00	2023-02-27T00:00:00	46518	51165	1720	1	1	1
25023	Volume of accumbens (left)	0	2	0	31	0	0	3	1	0	0	mm3	1102	0	2	2	3	0	0	Volume of left accumbens (from T1 brain image)	2015-10-09T00:00:00	2023-02-27T00:00:00	46518	51165	1690	1	1	1
25024	Volume of accumbens (right)	0	2	0	31	0	0	3	1	0	0	mm3	1102	0	2	2	3	0	0	Volume of right accumbens (from T1 brain image)	2015-10-09T00:00:00	2023-02-27T00:00:00	46518	51165	1700	1	1	1
25025	Volume of brain stem + 4th ventricle	0	2	0	31	0	0	3	1	0	0	mm3	110	0	2	2	3	0	0	Volume of brain stem + 4th ventricle (from T1 brain image)	2015-10-09T00:00:00	2023-02-27T00:00:00	46518	51165	290	1	1	1
25026	Median T2star in thalamus (left)	0	2	0	31	0	0	3	1	0	0	ms	109	0	2	2	3	0	0	Median T2star in left thalamus (from SWI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	42588	46883	250	1	1	1
25027	Median T2star in thalamus (right)	0	2	0	31	0	0	3	1	0	0	ms	109	0	2	2	3	0	0	Median T2star in right thalamus (from SWI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	42588	46883	260	1	1	1
25028	Median T2star in caudate (left)	0	2	0	31	0	0	3	1	0	0	ms	109	0	2	2	3	0	0	Median T2star in left caudate (from SWI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	42588	46883	170	1	1	1
25029	Median T2star in caudate (right)	0	2	0	31	0	0	3	1	0	0	ms	109	0	2	2	3	0	0	Median T2star in right caudate (from SWI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	42588	46883	180	1	1	1
25030	Median T2star in putamen (left)	0	2	0	31	0	0	3	1	0	0	ms	109	0	2	2	3	0	0	Median T2star in left putamen (from SWI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	42588	46883	230	1	1	1
25031	Median T2star in putamen (right)	0	2	0	31	0	0	3	1	0	0	ms	109	0	2	2	3	0	0	Median T2star in right putamen (from SWI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	42588	46883	240	1	1	1
25032	Median T2star in pallidum (left)	0	2	0	31	0	0	3	1	0	0	ms	109	0	2	2	3	0	0	Median T2star in left pallidum (from SWI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	42588	46883	210	1	1	1
25033	Median T2star in pallidum (right)	0	2	0	31	0	0	3	1	0	0	ms	109	0	2	2	3	0	0	Median T2star in right pallidum (from SWI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	42588	46883	220	1	1	1
25034	Median T2star in hippocampus (left)	0	2	0	31	0	0	3	1	0	0	ms	109	0	2	2	3	0	0	Median T2star in left hippocampus (from SWI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	42588	46883	190	1	1	1
25035	Median T2star in hippocampus (right)	0	2	0	31	0	0	3	1	0	0	ms	109	0	2	2	3	0	0	Median T2star in right hippocampus (from SWI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	42588	46883	200	1	1	1
25036	Median T2star in amygdala (left)	0	2	0	31	0	0	3	1	0	0	ms	109	0	2	2	3	0	0	Median T2star in left amygdala (from SWI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	42588	46883	150	1	1	1
25037	Median T2star in amygdala (right)	0	2	0	31	0	0	3	1	0	0	ms	109	0	2	2	3	0	0	Median T2star in right amygdala (from SWI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	42588	46883	160	1	1	1
25038	Median T2star in accumbens (left)	0	2	0	31	0	0	3	1	0	0	ms	109	0	2	2	3	0	0	Median T2star in left accumbens (from SWI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	42588	46883	130	1	1	1
25039	Median T2star in accumbens (right)	0	2	0	31	0	0	3	1	0	0	ms	109	0	2	2	3	0	0	Median T2star in right accumbens (from SWI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	42588	46883	140	1	1	1
25040	Median BOLD effect (in group-defined mask) for shapes activation	0	2	0	31	0	0	3	1	0	0	percent	106	0	2	2	3	0	0	Median BOLD (blood-oxygen-level dependent) effect (in group-defined mask) for shapes activation (in task fMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	39064	42927	460	1	1	1
25042	Median z-statistic (in group-defined mask) for shapes activation	0	2	0	31	0	0	3	1	0	0	Z	106	0	2	2	3	0	0	Median z-statistic (in group-defined mask) for shapes activation (in task fMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	39064	42927	500	1	1	1
25044	Median BOLD effect (in group-defined mask) for faces activation	0	2	0	31	0	0	3	1	0	0	percent	106	0	2	2	3	0	0	Median BOLD (blood-oxygen-level dependent) effect (in group-defined mask) for faces activation (in task fMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	39064	42927	450	1	1	1
25046	Median z-statistic (in group-defined mask) for faces activation	0	2	0	31	0	0	3	1	0	0	Z	106	0	2	2	3	0	0	Median z-statistic (in group-defined mask) for faces activation (in task fMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	39064	42927	490	1	1	1
25048	Median BOLD effect (in group-defined mask) for faces-shapes contrast	0	2	0	31	0	0	3	1	0	0	percent	106	0	2	2	3	0	0	Median BOLD (blood-oxygen-level dependent) effect (in group-defined mask) for faces-shapes contrast (in task fMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	39064	42927	470	1	1	1
25050	Median z-statistic (in group-defined mask) for faces-shapes contrast	0	2	0	31	0	0	3	1	0	0	Z	106	0	2	2	3	0	0	Median z-statistic (in group-defined mask) for faces-shapes contrast (in task fMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	39064	42927	510	1	1	1
25052	Median BOLD effect (in group-defined amygdala activation mask) for faces-shapes contrast	0	2	0	31	0	0	3	1	0	0	percent	106	0	2	2	3	0	0	Median BOLD (blood-oxygen-level dependent) effect (in group-defined amygdala activation mask) for faces-shapes contrast (in task fMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	39064	42927	440	1	1	1
25054	Median z-statistic (in group-defined amygdala activation mask) for faces-shapes contrast	0	2	0	31	0	0	3	1	0	0	Z	106	0	2	2	3	0	0	Median z-statistic (in group-defined amygdala activation mask) for faces-shapes contrast (in task fMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	39064	42927	480	1	1	1
25056	Mean FA in middle cerebellar peduncle on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in middle cerebellar peduncle on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	330	1	1	1
25057	Mean FA in pontine crossing tract on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in pontine crossing tract on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	340	1	1	1
25058	Mean FA in genu of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in genu of corpus callosum on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	280	1	1	1
25059	Mean FA in body of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in body of corpus callosum on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	140	1	1	1
25060	Mean FA in splenium of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in splenium of corpus callosum on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	450	1	1	1
25061	Mean FA in fornix on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in fornix on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	270	1	1	1
25062	Mean FA in corticospinal tract on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in corticospinal tract (right) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	220	1	1	1
25063	Mean FA in corticospinal tract on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in corticospinal tract (left) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	210	1	1	1
25064	Mean FA in medial lemniscus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in medial lemniscus (right) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	320	1	1	1
25065	Mean FA in medial lemniscus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in medial lemniscus (left) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	310	1	1	1
25066	Mean FA in inferior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in inferior cerebellar peduncle (right) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	300	1	1	1
25067	Mean FA in inferior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in inferior cerebellar peduncle (left) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	290	1	1	1
25068	Mean FA in superior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in superior cerebellar peduncle (right) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	470	1	1	1
25069	Mean FA in superior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in superior cerebellar peduncle (left) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	460	1	1	1
25070	Mean FA in cerebral peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in cerebral peduncle (right) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	160	1	1	1
25071	Mean FA in cerebral peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in cerebral peduncle (left) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	150	1	1	1
25072	Mean FA in anterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in anterior limb of internal capsule (right) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	130	1	1	1
25073	Mean FA in anterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in anterior limb of internal capsule (left) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	120	1	1	1
25074	Mean FA in posterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in posterior limb of internal capsule (right) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	380	1	1	1
25075	Mean FA in posterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in posterior limb of internal capsule (left) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	370	1	1	1
25076	Mean FA in retrolenticular part of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in retrolenticular part of internal capsule (right) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	420	1	1	1
25077	Mean FA in retrolenticular part of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in retrolenticular part of internal capsule (left) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	410	1	1	1
25078	Mean FA in anterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in anterior corona radiata (right) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	110	1	1	1
25079	Mean FA in anterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in anterior corona radiata (left) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	100	1	1	1
25080	Mean FA in superior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in superior corona radiata (right) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	490	1	1	1
25081	Mean FA in superior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in superior corona radiata (left) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	480	1	1	1
25082	Mean FA in posterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in posterior corona radiata (right) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	360	1	1	1
25083	Mean FA in posterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in posterior corona radiata (left) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	350	1	1	1
25084	Mean FA in posterior thalamic radiation on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in posterior thalamic radiation (right) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	400	1	1	1
25085	Mean FA in posterior thalamic radiation on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in posterior thalamic radiation (left) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	390	1	1	1
25086	Mean FA in sagittal stratum on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in sagittal stratum (right) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	440	1	1	1
25087	Mean FA in sagittal stratum on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in sagittal stratum (left) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	430	1	1	1
25088	Mean FA in external capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in external capsule (right) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	240	1	1	1
25089	Mean FA in external capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in external capsule (left) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	230	1	1	1
25090	Mean FA in cingulum cingulate gyrus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in cingulum cingulate gyrus (right) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	180	1	1	1
25091	Mean FA in cingulum cingulate gyrus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in cingulum cingulate gyrus (left) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	170	1	1	1
25092	Mean FA in cingulum hippocampus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in cingulum hippocampus (right) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	200	1	1	1
25093	Mean FA in cingulum hippocampus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in cingulum hippocampus (left) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	190	1	1	1
25094	Mean FA in fornix cres+stria terminalis on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in fornix cres+stria terminalis (right) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	260	1	1	1
25095	Mean FA in fornix cres+stria terminalis on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in fornix cres+stria terminalis (left) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	250	1	1	1
25096	Mean FA in superior longitudinal fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in superior longitudinal fasciculus (right) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	530	1	1	1
25097	Mean FA in superior longitudinal fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in superior longitudinal fasciculus (left) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	520	1	1	1
25098	Mean FA in superior fronto-occipital fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in superior fronto-occipital fasciculus (right) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	510	1	1	1
25099	Mean FA in superior fronto-occipital fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in superior fronto-occipital fasciculus (left) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	500	1	1	1
25100	Mean FA in uncinate fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in uncinate fasciculus (right) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	570	1	1	1
25101	Mean FA in uncinate fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in uncinate fasciculus (left) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	560	1	1	1
25102	Mean FA in tapetum on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in tapetum (right) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	550	1	1	1
25103	Mean FA in tapetum on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean FA (fractional anisotropy) in tapetum (left) on FA skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	540	1	1	1
25104	Mean MD in middle cerebellar peduncle on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in middle cerebellar peduncle on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3210	1	1	1
25105	Mean MD in pontine crossing tract on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in pontine crossing tract on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3220	1	1	1
25106	Mean MD in genu of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in genu of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3160	1	1	1
25107	Mean MD in body of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in body of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3020	1	1	1
25108	Mean MD in splenium of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in splenium of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3330	1	1	1
25109	Mean MD in fornix on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in fornix on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3150	1	1	1
25110	Mean MD in corticospinal tract on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in corticospinal tract (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3100	1	1	1
25111	Mean MD in corticospinal tract on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in corticospinal tract (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3090	1	1	1
25112	Mean MD in medial lemniscus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in medial lemniscus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3200	1	1	1
25113	Mean MD in medial lemniscus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in medial lemniscus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3190	1	1	1
25114	Mean MD in inferior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in inferior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3180	1	1	1
25115	Mean MD in inferior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in inferior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3170	1	1	1
25116	Mean MD in superior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in superior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3350	1	1	1
25117	Mean MD in superior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in superior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3340	1	1	1
25118	Mean MD in cerebral peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in cerebral peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3040	1	1	1
25119	Mean MD in cerebral peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in cerebral peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3030	1	1	1
25120	Mean MD in anterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in anterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3010	1	1	1
25121	Mean MD in anterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in anterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3000	1	1	1
25122	Mean MD in posterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in posterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3260	1	1	1
25123	Mean MD in posterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in posterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3250	1	1	1
25124	Mean MD in retrolenticular part of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in retrolenticular part of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3300	1	1	1
25125	Mean MD in retrolenticular part of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in retrolenticular part of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3290	1	1	1
25126	Mean MD in anterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in anterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2990	1	1	1
25127	Mean MD in anterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in anterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2980	1	1	1
25128	Mean MD in superior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in superior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3370	1	1	1
25129	Mean MD in superior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in superior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3360	1	1	1
25130	Mean MD in posterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in posterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3240	1	1	1
25131	Mean MD in posterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in posterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3230	1	1	1
25132	Mean MD in posterior thalamic radiation on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in posterior thalamic radiation (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3280	1	1	1
25133	Mean MD in posterior thalamic radiation on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in posterior thalamic radiation (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3270	1	1	1
25134	Mean MD in sagittal stratum on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in sagittal stratum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3320	1	1	1
25135	Mean MD in sagittal stratum on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in sagittal stratum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3310	1	1	1
25136	Mean MD in external capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in external capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3120	1	1	1
25137	Mean MD in external capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in external capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3110	1	1	1
25138	Mean MD in cingulum cingulate gyrus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in cingulum cingulate gyrus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3060	1	1	1
25139	Mean MD in cingulum cingulate gyrus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in cingulum cingulate gyrus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3050	1	1	1
25140	Mean MD in cingulum hippocampus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in cingulum hippocampus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3080	1	1	1
25141	Mean MD in cingulum hippocampus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in cingulum hippocampus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3070	1	1	1
25142	Mean MD in fornix cres+stria terminalis on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in fornix cres+stria terminalis (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3140	1	1	1
25143	Mean MD in fornix cres+stria terminalis on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in fornix cres+stria terminalis (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3130	1	1	1
25144	Mean MD in superior longitudinal fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in superior longitudinal fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3410	1	1	1
25145	Mean MD in superior longitudinal fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in superior longitudinal fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3400	1	1	1
25146	Mean MD in superior fronto-occipital fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in superior fronto-occipital fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3390	1	1	1
25147	Mean MD in superior fronto-occipital fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in superior fronto-occipital fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3380	1	1	1
25148	Mean MD in uncinate fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in uncinate fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3450	1	1	1
25149	Mean MD in uncinate fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in uncinate fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3440	1	1	1
25150	Mean MD in tapetum on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in tapetum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3430	1	1	1
25151	Mean MD in tapetum on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MD (mean diffusivity) in tapetum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3420	1	1	1
25152	Mean MO in middle cerebellar peduncle on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in middle cerebellar peduncle on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3690	1	1	1
25153	Mean MO in pontine crossing tract on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in pontine crossing tract on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3700	1	1	1
25154	Mean MO in genu of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in genu of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3640	1	1	1
25155	Mean MO in body of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in body of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3500	1	1	1
25156	Mean MO in splenium of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in splenium of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3810	1	1	1
25157	Mean MO in fornix on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in fornix on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3630	1	1	1
25158	Mean MO in corticospinal tract on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in corticospinal tract (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3580	1	1	1
25159	Mean MO in corticospinal tract on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in corticospinal tract (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3570	1	1	1
25160	Mean MO in medial lemniscus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in medial lemniscus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3680	1	1	1
25161	Mean MO in medial lemniscus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in medial lemniscus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3670	1	1	1
25162	Mean MO in inferior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in inferior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3660	1	1	1
25163	Mean MO in inferior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in inferior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3650	1	1	1
25164	Mean MO in superior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in superior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3830	1	1	1
25165	Mean MO in superior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in superior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3820	1	1	1
25166	Mean MO in cerebral peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in cerebral peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3520	1	1	1
25167	Mean MO in cerebral peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in cerebral peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3510	1	1	1
25168	Mean MO in anterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in anterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3490	1	1	1
25169	Mean MO in anterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in anterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3480	1	1	1
25170	Mean MO in posterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in posterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3740	1	1	1
25171	Mean MO in posterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in posterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3730	1	1	1
25172	Mean MO in retrolenticular part of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in retrolenticular part of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3780	1	1	1
25173	Mean MO in retrolenticular part of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in retrolenticular part of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3770	1	1	1
25174	Mean MO in anterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in anterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3470	1	1	1
25175	Mean MO in anterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in anterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3460	1	1	1
25176	Mean MO in superior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in superior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3850	1	1	1
25177	Mean MO in superior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in superior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3840	1	1	1
25178	Mean MO in posterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in posterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3720	1	1	1
25179	Mean MO in posterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in posterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3710	1	1	1
25180	Mean MO in posterior thalamic radiation on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in posterior thalamic radiation (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3760	1	1	1
25181	Mean MO in posterior thalamic radiation on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in posterior thalamic radiation (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3750	1	1	1
25182	Mean MO in sagittal stratum on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in sagittal stratum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3800	1	1	1
25183	Mean MO in sagittal stratum on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in sagittal stratum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3790	1	1	1
25184	Mean MO in external capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in external capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3600	1	1	1
25185	Mean MO in external capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in external capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3590	1	1	1
25186	Mean MO in cingulum cingulate gyrus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in cingulum cingulate gyrus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3540	1	1	1
25187	Mean MO in cingulum cingulate gyrus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in cingulum cingulate gyrus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3530	1	1	1
25188	Mean MO in cingulum hippocampus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in cingulum hippocampus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3560	1	1	1
25189	Mean MO in cingulum hippocampus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in cingulum hippocampus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3550	1	1	1
25190	Mean MO in fornix cres+stria terminalis on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in fornix cres+stria terminalis (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3620	1	1	1
25191	Mean MO in fornix cres+stria terminalis on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in fornix cres+stria terminalis (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3610	1	1	1
25192	Mean MO in superior longitudinal fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in superior longitudinal fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3890	1	1	1
25193	Mean MO in superior longitudinal fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in superior longitudinal fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3880	1	1	1
25194	Mean MO in superior fronto-occipital fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in superior fronto-occipital fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3870	1	1	1
25195	Mean MO in superior fronto-occipital fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in superior fronto-occipital fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3860	1	1	1
25196	Mean MO in uncinate fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in uncinate fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3930	1	1	1
25197	Mean MO in uncinate fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in uncinate fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3920	1	1	1
25198	Mean MO in tapetum on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in tapetum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3910	1	1	1
25199	Mean MO in tapetum on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean MO (diffusion tensor mode) in tapetum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	3900	1	1	1
25200	Mean L1 in middle cerebellar peduncle on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in middle cerebellar peduncle on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1770	1	1	1
25201	Mean L1 in pontine crossing tract on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in pontine crossing tract on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1780	1	1	1
25202	Mean L1 in genu of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in genu of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1720	1	1	1
25203	Mean L1 in body of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in body of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1580	1	1	1
25204	Mean L1 in splenium of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in splenium of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1890	1	1	1
25205	Mean L1 in fornix on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in fornix on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1710	1	1	1
25206	Mean L1 in corticospinal tract on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in corticospinal tract (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1660	1	1	1
25207	Mean L1 in corticospinal tract on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in corticospinal tract (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1650	1	1	1
25208	Mean L1 in medial lemniscus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in medial lemniscus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1760	1	1	1
25209	Mean L1 in medial lemniscus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in medial lemniscus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1750	1	1	1
25210	Mean L1 in inferior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in inferior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1740	1	1	1
25211	Mean L1 in inferior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in inferior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1730	1	1	1
25212	Mean L1 in superior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in superior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1910	1	1	1
25213	Mean L1 in superior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in superior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1900	1	1	1
25214	Mean L1 in cerebral peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in cerebral peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1600	1	1	1
25215	Mean L1 in cerebral peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in cerebral peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1590	1	1	1
25216	Mean L1 in anterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in anterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1570	1	1	1
25217	Mean L1 in anterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in anterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1560	1	1	1
25218	Mean L1 in posterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in posterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1820	1	1	1
25219	Mean L1 in posterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in posterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1810	1	1	1
25220	Mean L1 in retrolenticular part of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in retrolenticular part of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1860	1	1	1
25221	Mean L1 in retrolenticular part of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in retrolenticular part of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1850	1	1	1
25222	Mean L1 in anterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in anterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1550	1	1	1
25223	Mean L1 in anterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in anterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1540	1	1	1
25224	Mean L1 in superior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in superior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1930	1	1	1
25225	Mean L1 in superior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in superior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1920	1	1	1
25226	Mean L1 in posterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in posterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1800	1	1	1
25227	Mean L1 in posterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in posterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1790	1	1	1
25228	Mean L1 in posterior thalamic radiation on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in posterior thalamic radiation (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1840	1	1	1
25229	Mean L1 in posterior thalamic radiation on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in posterior thalamic radiation (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1830	1	1	1
25230	Mean L1 in sagittal stratum on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in sagittal stratum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1880	1	1	1
25231	Mean L1 in sagittal stratum on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in sagittal stratum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1870	1	1	1
25232	Mean L1 in external capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in external capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1680	1	1	1
25233	Mean L1 in external capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in external capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1670	1	1	1
25234	Mean L1 in cingulum cingulate gyrus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in cingulum cingulate gyrus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1620	1	1	1
25235	Mean L1 in cingulum cingulate gyrus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in cingulum cingulate gyrus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1610	1	1	1
25236	Mean L1 in cingulum hippocampus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in cingulum hippocampus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1640	1	1	1
25237	Mean L1 in cingulum hippocampus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in cingulum hippocampus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1630	1	1	1
25238	Mean L1 in fornix cres+stria terminalis on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in fornix cres+stria terminalis (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1700	1	1	1
25239	Mean L1 in fornix cres+stria terminalis on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in fornix cres+stria terminalis (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1690	1	1	1
25240	Mean L1 in superior longitudinal fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in superior longitudinal fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1970	1	1	1
25241	Mean L1 in superior longitudinal fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in superior longitudinal fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1960	1	1	1
25242	Mean L1 in superior fronto-occipital fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in superior fronto-occipital fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1950	1	1	1
25243	Mean L1 in superior fronto-occipital fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in superior fronto-occipital fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1940	1	1	1
25244	Mean L1 in uncinate fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in uncinate fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2010	1	1	1
25245	Mean L1 in uncinate fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in uncinate fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2000	1	1	1
25246	Mean L1 in tapetum on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in tapetum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1990	1	1	1
25247	Mean L1 in tapetum on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L1 in tapetum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	1980	1	1	1
25248	Mean L2 in middle cerebellar peduncle on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in middle cerebellar peduncle on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2250	1	1	1
25249	Mean L2 in pontine crossing tract on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in pontine crossing tract on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2260	1	1	1
25250	Mean L2 in genu of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in genu of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2200	1	1	1
25251	Mean L2 in body of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in body of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2060	1	1	1
25252	Mean L2 in splenium of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in splenium of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2370	1	1	1
25253	Mean L2 in fornix on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in fornix on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2190	1	1	1
25254	Mean L2 in corticospinal tract on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in corticospinal tract (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2140	1	1	1
25255	Mean L2 in corticospinal tract on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in corticospinal tract (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2130	1	1	1
25256	Mean L2 in medial lemniscus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in medial lemniscus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2240	1	1	1
25257	Mean L2 in medial lemniscus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in medial lemniscus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2230	1	1	1
25258	Mean L2 in inferior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in inferior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2220	1	1	1
25259	Mean L2 in inferior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in inferior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2210	1	1	1
25260	Mean L2 in superior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in superior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2390	1	1	1
25261	Mean L2 in superior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in superior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2380	1	1	1
25262	Mean L2 in cerebral peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in cerebral peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2080	1	1	1
25263	Mean L2 in cerebral peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in cerebral peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2070	1	1	1
25264	Mean L2 in anterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in anterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2050	1	1	1
25265	Mean L2 in anterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in anterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2040	1	1	1
25266	Mean L2 in posterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in posterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2300	1	1	1
25267	Mean L2 in posterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in posterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2290	1	1	1
25268	Mean L2 in retrolenticular part of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in retrolenticular part of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2340	1	1	1
25269	Mean L2 in retrolenticular part of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in retrolenticular part of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2330	1	1	1
25270	Mean L2 in anterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in anterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2030	1	1	1
25271	Mean L2 in anterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in anterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2020	1	1	1
25272	Mean L2 in superior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in superior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2410	1	1	1
25273	Mean L2 in superior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in superior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2400	1	1	1
25274	Mean L2 in posterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in posterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2280	1	1	1
25275	Mean L2 in posterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in posterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2270	1	1	1
25276	Mean L2 in posterior thalamic radiation on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in posterior thalamic radiation (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2320	1	1	1
25277	Mean L2 in posterior thalamic radiation on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in posterior thalamic radiation (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2310	1	1	1
25278	Mean L2 in sagittal stratum on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in sagittal stratum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2360	1	1	1
25279	Mean L2 in sagittal stratum on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in sagittal stratum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2350	1	1	1
25280	Mean L2 in external capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in external capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2160	1	1	1
25281	Mean L2 in external capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in external capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2150	1	1	1
25282	Mean L2 in cingulum cingulate gyrus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in cingulum cingulate gyrus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2100	1	1	1
25283	Mean L2 in cingulum cingulate gyrus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in cingulum cingulate gyrus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2090	1	1	1
25284	Mean L2 in cingulum hippocampus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in cingulum hippocampus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2120	1	1	1
25285	Mean L2 in cingulum hippocampus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in cingulum hippocampus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2110	1	1	1
25286	Mean L2 in fornix cres+stria terminalis on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in fornix cres+stria terminalis (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2180	1	1	1
25287	Mean L2 in fornix cres+stria terminalis on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in fornix cres+stria terminalis (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2170	1	1	1
25288	Mean L2 in superior longitudinal fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in superior longitudinal fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2450	1	1	1
25289	Mean L2 in superior longitudinal fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in superior longitudinal fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2440	1	1	1
25290	Mean L2 in superior fronto-occipital fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in superior fronto-occipital fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2430	1	1	1
25291	Mean L2 in superior fronto-occipital fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in superior fronto-occipital fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2420	1	1	1
25292	Mean L2 in uncinate fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in uncinate fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2490	1	1	1
25293	Mean L2 in uncinate fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in uncinate fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2480	1	1	1
25294	Mean L2 in tapetum on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in tapetum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2470	1	1	1
25295	Mean L2 in tapetum on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L2 in tapetum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2460	1	1	1
25296	Mean L3 in middle cerebellar peduncle on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in middle cerebellar peduncle on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2730	1	1	1
25297	Mean L3 in pontine crossing tract on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in pontine crossing tract on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2740	1	1	1
25298	Mean L3 in genu of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in genu of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2680	1	1	1
25299	Mean L3 in body of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in body of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2540	1	1	1
25300	Mean L3 in splenium of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in splenium of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2850	1	1	1
25301	Mean L3 in fornix on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in fornix on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2670	1	1	1
25302	Mean L3 in corticospinal tract on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in corticospinal tract (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2620	1	1	1
25303	Mean L3 in corticospinal tract on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in corticospinal tract (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2610	1	1	1
25304	Mean L3 in medial lemniscus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in medial lemniscus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2720	1	1	1
25305	Mean L3 in medial lemniscus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in medial lemniscus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2710	1	1	1
25306	Mean L3 in inferior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in inferior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2700	1	1	1
25307	Mean L3 in inferior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in inferior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2690	1	1	1
25308	Mean L3 in superior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in superior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2870	1	1	1
25309	Mean L3 in superior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in superior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2860	1	1	1
25310	Mean L3 in cerebral peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in cerebral peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2560	1	1	1
25311	Mean L3 in cerebral peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in cerebral peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2550	1	1	1
25312	Mean L3 in anterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in anterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2530	1	1	1
25313	Mean L3 in anterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in anterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2520	1	1	1
25314	Mean L3 in posterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in posterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2780	1	1	1
25315	Mean L3 in posterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in posterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2770	1	1	1
25316	Mean L3 in retrolenticular part of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in retrolenticular part of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2820	1	1	1
25317	Mean L3 in retrolenticular part of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in retrolenticular part of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2810	1	1	1
25318	Mean L3 in anterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in anterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2510	1	1	1
25319	Mean L3 in anterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in anterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2500	1	1	1
25320	Mean L3 in superior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in superior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2890	1	1	1
25321	Mean L3 in superior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in superior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2880	1	1	1
25322	Mean L3 in posterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in posterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2760	1	1	1
25323	Mean L3 in posterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in posterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2750	1	1	1
25324	Mean L3 in posterior thalamic radiation on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in posterior thalamic radiation (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2800	1	1	1
25325	Mean L3 in posterior thalamic radiation on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in posterior thalamic radiation (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2790	1	1	1
25326	Mean L3 in sagittal stratum on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in sagittal stratum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2840	1	1	1
25327	Mean L3 in sagittal stratum on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in sagittal stratum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2830	1	1	1
25328	Mean L3 in external capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in external capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2640	1	1	1
25329	Mean L3 in external capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in external capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2630	1	1	1
25330	Mean L3 in cingulum cingulate gyrus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in cingulum cingulate gyrus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2580	1	1	1
25331	Mean L3 in cingulum cingulate gyrus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in cingulum cingulate gyrus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2570	1	1	1
25332	Mean L3 in cingulum hippocampus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in cingulum hippocampus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2600	1	1	1
25333	Mean L3 in cingulum hippocampus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in cingulum hippocampus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2590	1	1	1
25334	Mean L3 in fornix cres+stria terminalis on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in fornix cres+stria terminalis (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2660	1	1	1
25335	Mean L3 in fornix cres+stria terminalis on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in fornix cres+stria terminalis (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2650	1	1	1
25336	Mean L3 in superior longitudinal fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in superior longitudinal fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2930	1	1	1
25337	Mean L3 in superior longitudinal fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in superior longitudinal fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2920	1	1	1
25338	Mean L3 in superior fronto-occipital fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in superior fronto-occipital fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2910	1	1	1
25339	Mean L3 in superior fronto-occipital fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in superior fronto-occipital fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2900	1	1	1
25340	Mean L3 in uncinate fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in uncinate fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2970	1	1	1
25341	Mean L3 in uncinate fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in uncinate fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2960	1	1	1
25342	Mean L3 in tapetum on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in tapetum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2950	1	1	1
25343	Mean L3 in tapetum on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean L3 in tapetum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44317	48846	2940	1	1	1
25344	Mean ICVF in middle cerebellar peduncle on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in middle cerebellar peduncle on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	810	1	1	1
25345	Mean ICVF in pontine crossing tract on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in pontine crossing tract on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	820	1	1	1
25346	Mean ICVF in genu of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in genu of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	760	1	1	1
25347	Mean ICVF in body of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in body of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	620	1	1	1
25348	Mean ICVF in splenium of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in splenium of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	930	1	1	1
25349	Mean ICVF in fornix on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in fornix on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	750	1	1	1
25350	Mean ICVF in corticospinal tract on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in corticospinal tract (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	700	1	1	1
25351	Mean ICVF in corticospinal tract on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in corticospinal tract (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	690	1	1	1
25352	Mean ICVF in medial lemniscus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in medial lemniscus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	800	1	1	1
25353	Mean ICVF in medial lemniscus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in medial lemniscus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	790	1	1	1
25354	Mean ICVF in inferior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in inferior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	780	1	1	1
25355	Mean ICVF in inferior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in inferior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	770	1	1	1
25356	Mean ICVF in superior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in superior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	950	1	1	1
25357	Mean ICVF in superior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in superior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	940	1	1	1
25358	Mean ICVF in cerebral peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in cerebral peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	640	1	1	1
25359	Mean ICVF in cerebral peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in cerebral peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	630	1	1	1
25360	Mean ICVF in anterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in anterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	610	1	1	1
25361	Mean ICVF in anterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in anterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	600	1	1	1
25362	Mean ICVF in posterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in posterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	860	1	1	1
25363	Mean ICVF in posterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in posterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	850	1	1	1
25364	Mean ICVF in retrolenticular part of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in retrolenticular part of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	900	1	1	1
25365	Mean ICVF in retrolenticular part of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in retrolenticular part of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	890	1	1	1
25366	Mean ICVF in anterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in anterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	590	1	1	1
25367	Mean ICVF in anterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in anterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	580	1	1	1
25368	Mean ICVF in superior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in superior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	970	1	1	1
25369	Mean ICVF in superior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in superior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	960	1	1	1
25370	Mean ICVF in posterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in posterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	840	1	1	1
25371	Mean ICVF in posterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in posterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	830	1	1	1
25372	Mean ICVF in posterior thalamic radiation on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in posterior thalamic radiation (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	880	1	1	1
25373	Mean ICVF in posterior thalamic radiation on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in posterior thalamic radiation (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	870	1	1	1
25374	Mean ICVF in sagittal stratum on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in sagittal stratum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	920	1	1	1
25375	Mean ICVF in sagittal stratum on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in sagittal stratum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	910	1	1	1
25376	Mean ICVF in external capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in external capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	720	1	1	1
25377	Mean ICVF in external capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in external capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	710	1	1	1
25378	Mean ICVF in cingulum cingulate gyrus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in cingulum cingulate gyrus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	660	1	1	1
25379	Mean ICVF in cingulum cingulate gyrus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in cingulum cingulate gyrus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	650	1	1	1
25380	Mean ICVF in cingulum hippocampus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in cingulum hippocampus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	680	1	1	1
25381	Mean ICVF in cingulum hippocampus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in cingulum hippocampus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	670	1	1	1
25382	Mean ICVF in fornix cres+stria terminalis on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in fornix cres+stria terminalis (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	740	1	1	1
25383	Mean ICVF in fornix cres+stria terminalis on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in fornix cres+stria terminalis (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	730	1	1	1
25384	Mean ICVF in superior longitudinal fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in superior longitudinal fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1010	1	1	1
25385	Mean ICVF in superior longitudinal fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in superior longitudinal fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1000	1	1	1
25386	Mean ICVF in superior fronto-occipital fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in superior fronto-occipital fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	990	1	1	1
25387	Mean ICVF in superior fronto-occipital fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in superior fronto-occipital fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	980	1	1	1
25388	Mean ICVF in uncinate fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in uncinate fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1050	1	1	1
25389	Mean ICVF in uncinate fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in uncinate fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1040	1	1	1
25390	Mean ICVF in tapetum on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in tapetum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1030	1	1	1
25391	Mean ICVF in tapetum on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ICVF (intra-cellular volume fraction) in tapetum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1020	1	1	1
25392	Mean OD in middle cerebellar peduncle on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in middle cerebellar peduncle on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4170	1	1	1
25393	Mean OD in pontine crossing tract on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in pontine crossing tract on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4180	1	1	1
25394	Mean OD in genu of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in genu of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4120	1	1	1
25395	Mean OD in body of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in body of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	3980	1	1	1
25396	Mean OD in splenium of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in splenium of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4290	1	1	1
25397	Mean OD in fornix on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in fornix on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4110	1	1	1
25398	Mean OD in corticospinal tract on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in corticospinal tract (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4060	1	1	1
25399	Mean OD in corticospinal tract on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in corticospinal tract (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4050	1	1	1
25400	Mean OD in medial lemniscus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in medial lemniscus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4160	1	1	1
25401	Mean OD in medial lemniscus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in medial lemniscus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4150	1	1	1
25402	Mean OD in inferior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in inferior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4140	1	1	1
25403	Mean OD in inferior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in inferior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4130	1	1	1
25404	Mean OD in superior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in superior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4310	1	1	1
25405	Mean OD in superior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in superior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4300	1	1	1
25406	Mean OD in cerebral peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in cerebral peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4000	1	1	1
25407	Mean OD in cerebral peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in cerebral peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	3990	1	1	1
25408	Mean OD in anterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in anterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	3970	1	1	1
25409	Mean OD in anterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in anterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	3960	1	1	1
25410	Mean OD in posterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in posterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4220	1	1	1
25411	Mean OD in posterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in posterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4210	1	1	1
25412	Mean OD in retrolenticular part of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in retrolenticular part of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4260	1	1	1
25413	Mean OD in retrolenticular part of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in retrolenticular part of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4250	1	1	1
25414	Mean OD in anterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in anterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	3950	1	1	1
25415	Mean OD in anterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in anterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	3940	1	1	1
25416	Mean OD in superior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in superior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4330	1	1	1
25417	Mean OD in superior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in superior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4320	1	1	1
25418	Mean OD in posterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in posterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4200	1	1	1
25419	Mean OD in posterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in posterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4190	1	1	1
25420	Mean OD in posterior thalamic radiation on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in posterior thalamic radiation (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4240	1	1	1
25421	Mean OD in posterior thalamic radiation on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in posterior thalamic radiation (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4230	1	1	1
25422	Mean OD in sagittal stratum on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in sagittal stratum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4280	1	1	1
25423	Mean OD in sagittal stratum on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in sagittal stratum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4270	1	1	1
25424	Mean OD in external capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in external capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4080	1	1	1
25425	Mean OD in external capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in external capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4070	1	1	1
25426	Mean OD in cingulum cingulate gyrus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in cingulum cingulate gyrus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4020	1	1	1
25427	Mean OD in cingulum cingulate gyrus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in cingulum cingulate gyrus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4010	1	1	1
25428	Mean OD in cingulum hippocampus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in cingulum hippocampus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4040	1	1	1
25429	Mean OD in cingulum hippocampus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in cingulum hippocampus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4030	1	1	1
25430	Mean OD in fornix cres+stria terminalis on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in fornix cres+stria terminalis (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4100	1	1	1
25431	Mean OD in fornix cres+stria terminalis on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in fornix cres+stria terminalis (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4090	1	1	1
25432	Mean OD in superior longitudinal fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in superior longitudinal fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4370	1	1	1
25433	Mean OD in superior longitudinal fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in superior longitudinal fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4360	1	1	1
25434	Mean OD in superior fronto-occipital fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in superior fronto-occipital fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4350	1	1	1
25435	Mean OD in superior fronto-occipital fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in superior fronto-occipital fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4340	1	1	1
25436	Mean OD in uncinate fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in uncinate fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4410	1	1	1
25437	Mean OD in uncinate fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in uncinate fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4400	1	1	1
25438	Mean OD in tapetum on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in tapetum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4390	1	1	1
25439	Mean OD in tapetum on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean OD (orientation dispersion index) in tapetum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	4380	1	1	1
25440	Mean ISOVF in middle cerebellar peduncle on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in middle cerebellar peduncle on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1290	1	1	1
25441	Mean ISOVF in pontine crossing tract on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in pontine crossing tract on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1300	1	1	1
25442	Mean ISOVF in genu of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in genu of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1240	1	1	1
25443	Mean ISOVF in body of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in body of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1100	1	1	1
25444	Mean ISOVF in splenium of corpus callosum on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in splenium of corpus callosum on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1410	1	1	1
25445	Mean ISOVF in fornix on FA skeleton	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in fornix on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1230	1	1	1
25446	Mean ISOVF in corticospinal tract on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in corticospinal tract (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1180	1	1	1
25447	Mean ISOVF in corticospinal tract on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in corticospinal tract (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1170	1	1	1
25448	Mean ISOVF in medial lemniscus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in medial lemniscus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1280	1	1	1
25449	Mean ISOVF in medial lemniscus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in medial lemniscus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1270	1	1	1
25450	Mean ISOVF in inferior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in inferior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1260	1	1	1
25451	Mean ISOVF in inferior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in inferior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1250	1	1	1
25452	Mean ISOVF in superior cerebellar peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in superior cerebellar peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1430	1	1	1
25453	Mean ISOVF in superior cerebellar peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in superior cerebellar peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1420	1	1	1
25454	Mean ISOVF in cerebral peduncle on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in cerebral peduncle (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1120	1	1	1
25455	Mean ISOVF in cerebral peduncle on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in cerebral peduncle (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1110	1	1	1
25456	Mean ISOVF in anterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in anterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI da	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1090	1	1	1
25457	Mean ISOVF in anterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in anterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI dat	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1080	1	1	1
25458	Mean ISOVF in posterior limb of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in posterior limb of internal capsule (right) on FA (fractional anisotropy) skeleton (from dMRI d	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1340	1	1	1
25459	Mean ISOVF in posterior limb of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in posterior limb of internal capsule (left) on FA (fractional anisotropy) skeleton (from dMRI da	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1330	1	1	1
25460	Mean ISOVF in retrolenticular part of internal capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in retrolenticular part of internal capsule (right) on FA (fractional anisotropy) skeleton (from	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1380	1	1	1
25461	Mean ISOVF in retrolenticular part of internal capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in retrolenticular part of internal capsule (left) on FA (fractional anisotropy) skeleton (from d	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1370	1	1	1
25462	Mean ISOVF in anterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in anterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1070	1	1	1
25463	Mean ISOVF in anterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in anterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1060	1	1	1
25464	Mean ISOVF in superior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in superior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1450	1	1	1
25465	Mean ISOVF in superior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in superior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1440	1	1	1
25466	Mean ISOVF in posterior corona radiata on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in posterior corona radiata (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1320	1	1	1
25467	Mean ISOVF in posterior corona radiata on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in posterior corona radiata (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1310	1	1	1
25468	Mean ISOVF in posterior thalamic radiation on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in posterior thalamic radiation (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1360	1	1	1
25469	Mean ISOVF in posterior thalamic radiation on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in posterior thalamic radiation (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1350	1	1	1
25470	Mean ISOVF in sagittal stratum on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in sagittal stratum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1400	1	1	1
25471	Mean ISOVF in sagittal stratum on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in sagittal stratum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1390	1	1	1
25472	Mean ISOVF in external capsule on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in external capsule (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1200	1	1	1
25473	Mean ISOVF in external capsule on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in external capsule (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1190	1	1	1
25474	Mean ISOVF in cingulum cingulate gyrus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in cingulum cingulate gyrus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1140	1	1	1
25475	Mean ISOVF in cingulum cingulate gyrus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in cingulum cingulate gyrus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1130	1	1	1
25476	Mean ISOVF in cingulum hippocampus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in cingulum hippocampus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1160	1	1	1
25477	Mean ISOVF in cingulum hippocampus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in cingulum hippocampus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1150	1	1	1
25478	Mean ISOVF in fornix cres+stria terminalis on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in fornix cres+stria terminalis (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1220	1	1	1
25479	Mean ISOVF in fornix cres+stria terminalis on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in fornix cres+stria terminalis (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1210	1	1	1
25480	Mean ISOVF in superior longitudinal fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in superior longitudinal fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI dat	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1490	1	1	1
25481	Mean ISOVF in superior longitudinal fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in superior longitudinal fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1480	1	1	1
25482	Mean ISOVF in superior fronto-occipital fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in superior fronto-occipital fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1470	1	1	1
25483	Mean ISOVF in superior fronto-occipital fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in superior fronto-occipital fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1460	1	1	1
25484	Mean ISOVF in uncinate fasciculus on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in uncinate fasciculus (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1530	1	1	1
25485	Mean ISOVF in uncinate fasciculus on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in uncinate fasciculus (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1520	1	1	1
25486	Mean ISOVF in tapetum on FA skeleton (right)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in tapetum (right) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1510	1	1	1
25487	Mean ISOVF in tapetum on FA skeleton (left)	0	2	0	31	0	0	3	1	0	0	AU	134	0	2	2	3	0	0	Mean ISOVF (isotropic or free water volume fraction) in tapetum (left) on FA (fractional anisotropy) skeleton (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44314	48843	1500	1	1	1
25488	Weighted-mean FA in tract acoustic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract left acoustic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4460	1	1	1
25489	Weighted-mean FA in tract acoustic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract right acoustic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4470	1	1	1
25490	Weighted-mean FA in tract anterior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract left anterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4480	1	1	1
25491	Weighted-mean FA in tract anterior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract right anterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4490	1	1	1
25492	Weighted-mean FA in tract cingulate gyrus part of cingulum (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract left cingulate gyrus part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4500	1	1	1
25493	Weighted-mean FA in tract cingulate gyrus part of cingulum (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract right cingulate gyrus part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4510	1	1	1
25494	Weighted-mean FA in tract parahippocampal part of cingulum (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract left parahippocampal part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4630	1	1	1
25495	Weighted-mean FA in tract parahippocampal part of cingulum (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract right parahippocampal part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4640	1	1	1
25496	Weighted-mean FA in tract corticospinal tract (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract left corticospinal tract (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4520	1	1	1
25497	Weighted-mean FA in tract corticospinal tract (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract right corticospinal tract (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4530	1	1	1
25498	Weighted-mean FA in tract forceps major	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract forceps major (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4540	1	1	1
25499	Weighted-mean FA in tract forceps minor	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract forceps minor (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4550	1	1	1
25500	Weighted-mean FA in tract inferior fronto-occipital fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract left inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4560	1	1	1
25501	Weighted-mean FA in tract inferior fronto-occipital fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract right inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4570	1	1	1
25502	Weighted-mean FA in tract inferior longitudinal fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract left inferior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4580	1	1	1
25503	Weighted-mean FA in tract inferior longitudinal fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract right inferior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4590	1	1	1
25504	Weighted-mean FA in tract middle cerebellar peduncle	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract middle cerebellar peduncle (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4620	1	1	1
25505	Weighted-mean FA in tract medial lemniscus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract left medial lemniscus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4600	1	1	1
25506	Weighted-mean FA in tract medial lemniscus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract right medial lemniscus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4610	1	1	1
25507	Weighted-mean FA in tract posterior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract left posterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4650	1	1	1
25508	Weighted-mean FA in tract posterior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract right posterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4660	1	1	1
25509	Weighted-mean FA in tract superior longitudinal fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract left superior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4670	1	1	1
25510	Weighted-mean FA in tract superior longitudinal fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract right superior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4680	1	1	1
25511	Weighted-mean FA in tract superior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract left superior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4690	1	1	1
25512	Weighted-mean FA in tract superior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract right superior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4700	1	1	1
25513	Weighted-mean FA in tract uncinate fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract left uncinate fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4710	1	1	1
25514	Weighted-mean FA in tract uncinate fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean FA (fractional anisotropy) in tract right uncinate fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	4720	1	1	1
25515	Weighted-mean MD in tract acoustic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract left acoustic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6080	1	1	1
25516	Weighted-mean MD in tract acoustic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract right acoustic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6090	1	1	1
25517	Weighted-mean MD in tract anterior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract left anterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6100	1	1	1
25518	Weighted-mean MD in tract anterior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract right anterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6110	1	1	1
25519	Weighted-mean MD in tract cingulate gyrus part of cingulum (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract left cingulate gyrus part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6120	1	1	1
25520	Weighted-mean MD in tract cingulate gyrus part of cingulum (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract right cingulate gyrus part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6130	1	1	1
25521	Weighted-mean MD in tract parahippocampal part of cingulum (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract left parahippocampal part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6250	1	1	1
25522	Weighted-mean MD in tract parahippocampal part of cingulum (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract right parahippocampal part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6260	1	1	1
25523	Weighted-mean MD in tract corticospinal tract (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract left corticospinal tract (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6140	1	1	1
25524	Weighted-mean MD in tract corticospinal tract (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract right corticospinal tract (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6150	1	1	1
25525	Weighted-mean MD in tract forceps major	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract forceps major (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6160	1	1	1
25526	Weighted-mean MD in tract forceps minor	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract forceps minor (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6170	1	1	1
25527	Weighted-mean MD in tract inferior fronto-occipital fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract left inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6180	1	1	1
25528	Weighted-mean MD in tract inferior fronto-occipital fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract right inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6190	1	1	1
25529	Weighted-mean MD in tract inferior longitudinal fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract left inferior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6200	1	1	1
25530	Weighted-mean MD in tract inferior longitudinal fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract right inferior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6210	1	1	1
25531	Weighted-mean MD in tract middle cerebellar peduncle	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract middle cerebellar peduncle (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6240	1	1	1
25532	Weighted-mean MD in tract medial lemniscus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract left medial lemniscus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6220	1	1	1
25533	Weighted-mean MD in tract medial lemniscus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract right medial lemniscus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6230	1	1	1
25534	Weighted-mean MD in tract posterior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract left posterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6270	1	1	1
25535	Weighted-mean MD in tract posterior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract right posterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6280	1	1	1
25536	Weighted-mean MD in tract superior longitudinal fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract left superior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6290	1	1	1
25537	Weighted-mean MD in tract superior longitudinal fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract right superior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6300	1	1	1
25538	Weighted-mean MD in tract superior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract left superior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6310	1	1	1
25539	Weighted-mean MD in tract superior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract right superior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6320	1	1	1
25540	Weighted-mean MD in tract uncinate fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract left uncinate fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6330	1	1	1
25541	Weighted-mean MD in tract uncinate fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MD (mean diffusivity) in tract right uncinate fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6340	1	1	1
25542	Weighted-mean MO in tract acoustic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract left acoustic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6350	1	1	1
25543	Weighted-mean MO in tract acoustic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract right acoustic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6360	1	1	1
25544	Weighted-mean MO in tract anterior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract left anterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6370	1	1	1
25545	Weighted-mean MO in tract anterior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract right anterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6380	1	1	1
25546	Weighted-mean MO in tract cingulate gyrus part of cingulum (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract left cingulate gyrus part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6390	1	1	1
25547	Weighted-mean MO in tract cingulate gyrus part of cingulum (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract right cingulate gyrus part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6400	1	1	1
25548	Weighted-mean MO in tract parahippocampal part of cingulum (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract left parahippocampal part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6520	1	1	1
25549	Weighted-mean MO in tract parahippocampal part of cingulum (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract right parahippocampal part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6530	1	1	1
25550	Weighted-mean MO in tract corticospinal tract (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract left corticospinal tract (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6410	1	1	1
25551	Weighted-mean MO in tract corticospinal tract (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract right corticospinal tract (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6420	1	1	1
25552	Weighted-mean MO in tract forceps major	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract forceps major (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6430	1	1	1
25553	Weighted-mean MO in tract forceps minor	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract forceps minor (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6440	1	1	1
25554	Weighted-mean MO in tract inferior fronto-occipital fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract left inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6450	1	1	1
25555	Weighted-mean MO in tract inferior fronto-occipital fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract right inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6460	1	1	1
25556	Weighted-mean MO in tract inferior longitudinal fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract left inferior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6470	1	1	1
25557	Weighted-mean MO in tract inferior longitudinal fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract right inferior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6480	1	1	1
25558	Weighted-mean MO in tract middle cerebellar peduncle	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract middle cerebellar peduncle (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6510	1	1	1
25559	Weighted-mean MO in tract medial lemniscus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract left medial lemniscus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6490	1	1	1
25560	Weighted-mean MO in tract medial lemniscus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract right medial lemniscus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6500	1	1	1
25561	Weighted-mean MO in tract posterior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract left posterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6540	1	1	1
25562	Weighted-mean MO in tract posterior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract right posterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6550	1	1	1
25563	Weighted-mean MO in tract superior longitudinal fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract left superior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6560	1	1	1
25564	Weighted-mean MO in tract superior longitudinal fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract right superior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6570	1	1	1
25565	Weighted-mean MO in tract superior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract left superior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6580	1	1	1
25566	Weighted-mean MO in tract superior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract right superior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6590	1	1	1
25567	Weighted-mean MO in tract uncinate fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract left uncinate fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6600	1	1	1
25568	Weighted-mean MO in tract uncinate fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean MO (diffusion tensor mode) in tract right uncinate fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6610	1	1	1
25569	Weighted-mean L1 in tract acoustic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract left acoustic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5270	1	1	1
25570	Weighted-mean L1 in tract acoustic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract right acoustic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5280	1	1	1
25571	Weighted-mean L1 in tract anterior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract left anterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5290	1	1	1
25572	Weighted-mean L1 in tract anterior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract right anterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5300	1	1	1
25573	Weighted-mean L1 in tract cingulate gyrus part of cingulum (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract left cingulate gyrus part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5310	1	1	1
25574	Weighted-mean L1 in tract cingulate gyrus part of cingulum (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract right cingulate gyrus part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5320	1	1	1
25575	Weighted-mean L1 in tract parahippocampal part of cingulum (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract left parahippocampal part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5440	1	1	1
25576	Weighted-mean L1 in tract parahippocampal part of cingulum (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract right parahippocampal part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5450	1	1	1
25577	Weighted-mean L1 in tract corticospinal tract (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract left corticospinal tract (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5330	1	1	1
25578	Weighted-mean L1 in tract corticospinal tract (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract right corticospinal tract (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5340	1	1	1
25579	Weighted-mean L1 in tract forceps major	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract forceps major (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5350	1	1	1
25580	Weighted-mean L1 in tract forceps minor	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract forceps minor (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5360	1	1	1
25581	Weighted-mean L1 in tract inferior fronto-occipital fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract left inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5370	1	1	1
25582	Weighted-mean L1 in tract inferior fronto-occipital fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract right inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5380	1	1	1
25583	Weighted-mean L1 in tract inferior longitudinal fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract left inferior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5390	1	1	1
25584	Weighted-mean L1 in tract inferior longitudinal fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract right inferior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5400	1	1	1
25585	Weighted-mean L1 in tract middle cerebellar peduncle	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract middle cerebellar peduncle (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5430	1	1	1
25586	Weighted-mean L1 in tract medial lemniscus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract left medial lemniscus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5410	1	1	1
25587	Weighted-mean L1 in tract medial lemniscus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract right medial lemniscus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5420	1	1	1
25588	Weighted-mean L1 in tract posterior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract left posterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5460	1	1	1
25589	Weighted-mean L1 in tract posterior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract right posterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5470	1	1	1
25590	Weighted-mean L1 in tract superior longitudinal fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract left superior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5480	1	1	1
25591	Weighted-mean L1 in tract superior longitudinal fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract right superior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5490	1	1	1
25592	Weighted-mean L1 in tract superior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract left superior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5500	1	1	1
25593	Weighted-mean L1 in tract superior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract right superior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5510	1	1	1
25594	Weighted-mean L1 in tract uncinate fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract left uncinate fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5520	1	1	1
25595	Weighted-mean L1 in tract uncinate fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L1 in tract right uncinate fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5530	1	1	1
25596	Weighted-mean L2 in tract acoustic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract left acoustic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5540	1	1	1
25597	Weighted-mean L2 in tract acoustic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract right acoustic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5550	1	1	1
25598	Weighted-mean L2 in tract anterior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract left anterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5560	1	1	1
25599	Weighted-mean L2 in tract anterior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract right anterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5570	1	1	1
25600	Weighted-mean L2 in tract cingulate gyrus part of cingulum (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract left cingulate gyrus part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5580	1	1	1
25601	Weighted-mean L2 in tract cingulate gyrus part of cingulum (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract right cingulate gyrus part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5590	1	1	1
25602	Weighted-mean L2 in tract parahippocampal part of cingulum (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract left parahippocampal part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5710	1	1	1
25603	Weighted-mean L2 in tract parahippocampal part of cingulum (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract right parahippocampal part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5720	1	1	1
25604	Weighted-mean L2 in tract corticospinal tract (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract left corticospinal tract (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5600	1	1	1
25605	Weighted-mean L2 in tract corticospinal tract (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract right corticospinal tract (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5610	1	1	1
25606	Weighted-mean L2 in tract forceps major	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract forceps major (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5620	1	1	1
25607	Weighted-mean L2 in tract forceps minor	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract forceps minor (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5630	1	1	1
25608	Weighted-mean L2 in tract inferior fronto-occipital fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract left inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5640	1	1	1
25609	Weighted-mean L2 in tract inferior fronto-occipital fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract right inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5650	1	1	1
25610	Weighted-mean L2 in tract inferior longitudinal fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract left inferior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5660	1	1	1
25611	Weighted-mean L2 in tract inferior longitudinal fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract right inferior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5670	1	1	1
25612	Weighted-mean L2 in tract middle cerebellar peduncle	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract middle cerebellar peduncle (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5700	1	1	1
25613	Weighted-mean L2 in tract medial lemniscus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract left medial lemniscus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5680	1	1	1
25614	Weighted-mean L2 in tract medial lemniscus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract right medial lemniscus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5690	1	1	1
25615	Weighted-mean L2 in tract posterior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract left posterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5730	1	1	1
25616	Weighted-mean L2 in tract posterior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract right posterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5740	1	1	1
25617	Weighted-mean L2 in tract superior longitudinal fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract left superior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5750	1	1	1
25618	Weighted-mean L2 in tract superior longitudinal fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract right superior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5760	1	1	1
25619	Weighted-mean L2 in tract superior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract left superior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5770	1	1	1
25620	Weighted-mean L2 in tract superior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract right superior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5780	1	1	1
25621	Weighted-mean L2 in tract uncinate fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract left uncinate fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5790	1	1	1
25622	Weighted-mean L2 in tract uncinate fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L2 in tract right uncinate fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5800	1	1	1
25623	Weighted-mean L3 in tract acoustic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract left acoustic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5810	1	1	1
25624	Weighted-mean L3 in tract acoustic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract right acoustic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5820	1	1	1
25625	Weighted-mean L3 in tract anterior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract left anterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5830	1	1	1
25626	Weighted-mean L3 in tract anterior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract right anterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5840	1	1	1
25627	Weighted-mean L3 in tract cingulate gyrus part of cingulum (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract left cingulate gyrus part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5850	1	1	1
25628	Weighted-mean L3 in tract cingulate gyrus part of cingulum (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract right cingulate gyrus part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5860	1	1	1
25629	Weighted-mean L3 in tract parahippocampal part of cingulum (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract left parahippocampal part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5980	1	1	1
25630	Weighted-mean L3 in tract parahippocampal part of cingulum (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract right parahippocampal part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5990	1	1	1
25631	Weighted-mean L3 in tract corticospinal tract (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract left corticospinal tract (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5870	1	1	1
25632	Weighted-mean L3 in tract corticospinal tract (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract right corticospinal tract (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5880	1	1	1
25633	Weighted-mean L3 in tract forceps major	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract forceps major (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5890	1	1	1
25634	Weighted-mean L3 in tract forceps minor	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract forceps minor (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5900	1	1	1
25635	Weighted-mean L3 in tract inferior fronto-occipital fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract left inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5910	1	1	1
25636	Weighted-mean L3 in tract inferior fronto-occipital fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract right inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5920	1	1	1
25637	Weighted-mean L3 in tract inferior longitudinal fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract left inferior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5930	1	1	1
25638	Weighted-mean L3 in tract inferior longitudinal fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract right inferior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5940	1	1	1
25639	Weighted-mean L3 in tract middle cerebellar peduncle	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract middle cerebellar peduncle (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5970	1	1	1
25640	Weighted-mean L3 in tract medial lemniscus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract left medial lemniscus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5950	1	1	1
25641	Weighted-mean L3 in tract medial lemniscus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract right medial lemniscus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	5960	1	1	1
25642	Weighted-mean L3 in tract posterior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract left posterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6000	1	1	1
25643	Weighted-mean L3 in tract posterior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract right posterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6010	1	1	1
25644	Weighted-mean L3 in tract superior longitudinal fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract left superior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6020	1	1	1
25645	Weighted-mean L3 in tract superior longitudinal fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract right superior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6030	1	1	1
25646	Weighted-mean L3 in tract superior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract left superior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6040	1	1	1
25647	Weighted-mean L3 in tract superior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract right superior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6050	1	1	1
25648	Weighted-mean L3 in tract uncinate fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract left uncinate fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6060	1	1	1
25649	Weighted-mean L3 in tract uncinate fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean L3 in tract right uncinate fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44315	48844	6070	1	1	1
25650	Weighted-mean ICVF in tract acoustic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract left acoustic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4730	1	1	1
25651	Weighted-mean ICVF in tract acoustic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract right acoustic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4740	1	1	1
25652	Weighted-mean ICVF in tract anterior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract left anterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4750	1	1	1
25653	Weighted-mean ICVF in tract anterior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract right anterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4760	1	1	1
25654	Weighted-mean ICVF in tract cingulate gyrus part of cingulum (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract left cingulate gyrus part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4770	1	1	1
25655	Weighted-mean ICVF in tract cingulate gyrus part of cingulum (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract right cingulate gyrus part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4780	1	1	1
25656	Weighted-mean ICVF in tract parahippocampal part of cingulum (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract left parahippocampal part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4900	1	1	1
25657	Weighted-mean ICVF in tract parahippocampal part of cingulum (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract right parahippocampal part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4910	1	1	1
25658	Weighted-mean ICVF in tract corticospinal tract (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract left corticospinal tract (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4790	1	1	1
25659	Weighted-mean ICVF in tract corticospinal tract (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract right corticospinal tract (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4800	1	1	1
25660	Weighted-mean ICVF in tract forceps major	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract forceps major (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4810	1	1	1
25661	Weighted-mean ICVF in tract forceps minor	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract forceps minor (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4820	1	1	1
25662	Weighted-mean ICVF in tract inferior fronto-occipital fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract left inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4830	1	1	1
25663	Weighted-mean ICVF in tract inferior fronto-occipital fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract right inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4840	1	1	1
25664	Weighted-mean ICVF in tract inferior longitudinal fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract left inferior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4850	1	1	1
25665	Weighted-mean ICVF in tract inferior longitudinal fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract right inferior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4860	1	1	1
25666	Weighted-mean ICVF in tract middle cerebellar peduncle	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract middle cerebellar peduncle (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4890	1	1	1
25667	Weighted-mean ICVF in tract medial lemniscus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract left medial lemniscus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4870	1	1	1
25668	Weighted-mean ICVF in tract medial lemniscus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract right medial lemniscus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4880	1	1	1
25669	Weighted-mean ICVF in tract posterior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract left posterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4920	1	1	1
25670	Weighted-mean ICVF in tract posterior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract right posterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4930	1	1	1
25671	Weighted-mean ICVF in tract superior longitudinal fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract left superior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4940	1	1	1
25672	Weighted-mean ICVF in tract superior longitudinal fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract right superior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4950	1	1	1
25673	Weighted-mean ICVF in tract superior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract left superior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4960	1	1	1
25674	Weighted-mean ICVF in tract superior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract right superior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4970	1	1	1
25675	Weighted-mean ICVF in tract uncinate fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract left uncinate fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4980	1	1	1
25676	Weighted-mean ICVF in tract uncinate fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ICVF (intra-cellular volume fraction) in tract right uncinate fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	4990	1	1	1
25677	Weighted-mean OD in tract acoustic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract left acoustic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6620	1	1	1
25678	Weighted-mean OD in tract acoustic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract right acoustic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6630	1	1	1
25679	Weighted-mean OD in tract anterior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract left anterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6640	1	1	1
25680	Weighted-mean OD in tract anterior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract right anterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6650	1	1	1
25681	Weighted-mean OD in tract cingulate gyrus part of cingulum (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract left cingulate gyrus part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6660	1	1	1
25682	Weighted-mean OD in tract cingulate gyrus part of cingulum (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract right cingulate gyrus part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6670	1	1	1
25683	Weighted-mean OD in tract parahippocampal part of cingulum (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract left parahippocampal part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6790	1	1	1
25684	Weighted-mean OD in tract parahippocampal part of cingulum (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract right parahippocampal part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6800	1	1	1
25685	Weighted-mean OD in tract corticospinal tract (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract left corticospinal tract (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6680	1	1	1
25686	Weighted-mean OD in tract corticospinal tract (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract right corticospinal tract (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6690	1	1	1
25687	Weighted-mean OD in tract forceps major	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract forceps major (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6700	1	1	1
25688	Weighted-mean OD in tract forceps minor	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract forceps minor (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6710	1	1	1
25689	Weighted-mean OD in tract inferior fronto-occipital fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract left inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6720	1	1	1
25690	Weighted-mean OD in tract inferior fronto-occipital fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract right inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6730	1	1	1
25691	Weighted-mean OD in tract inferior longitudinal fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract left inferior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6740	1	1	1
25692	Weighted-mean OD in tract inferior longitudinal fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract right inferior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6750	1	1	1
25693	Weighted-mean OD in tract middle cerebellar peduncle	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract middle cerebellar peduncle (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6780	1	1	1
25694	Weighted-mean OD in tract medial lemniscus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract left medial lemniscus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6760	1	1	1
25695	Weighted-mean OD in tract medial lemniscus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract right medial lemniscus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6770	1	1	1
25696	Weighted-mean OD in tract posterior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract left posterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6810	1	1	1
25697	Weighted-mean OD in tract posterior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract right posterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6820	1	1	1
25698	Weighted-mean OD in tract superior longitudinal fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract left superior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6830	1	1	1
25699	Weighted-mean OD in tract superior longitudinal fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract right superior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6840	1	1	1
25700	Weighted-mean OD in tract superior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract left superior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6850	1	1	1
25701	Weighted-mean OD in tract superior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract right superior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6860	1	1	1
25702	Weighted-mean OD in tract uncinate fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract left uncinate fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6870	1	1	1
25703	Weighted-mean OD in tract uncinate fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean OD (orientation dispersion index) in tract right uncinate fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	6880	1	1	1
25704	Weighted-mean ISOVF in tract acoustic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract left acoustic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5000	1	1	1
25705	Weighted-mean ISOVF in tract acoustic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract right acoustic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5010	1	1	1
25706	Weighted-mean ISOVF in tract anterior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract left anterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5020	1	1	1
25707	Weighted-mean ISOVF in tract anterior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract right anterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5030	1	1	1
25708	Weighted-mean ISOVF in tract cingulate gyrus part of cingulum (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract left cingulate gyrus part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5040	1	1	1
25709	Weighted-mean ISOVF in tract cingulate gyrus part of cingulum (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract right cingulate gyrus part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5050	1	1	1
25710	Weighted-mean ISOVF in tract parahippocampal part of cingulum (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract left parahippocampal part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5170	1	1	1
25711	Weighted-mean ISOVF in tract parahippocampal part of cingulum (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract right parahippocampal part of cingulum (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5180	1	1	1
25712	Weighted-mean ISOVF in tract corticospinal tract (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract left corticospinal tract (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5060	1	1	1
25713	Weighted-mean ISOVF in tract corticospinal tract (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract right corticospinal tract (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5070	1	1	1
25714	Weighted-mean ISOVF in tract forceps major	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract forceps major (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5080	1	1	1
25715	Weighted-mean ISOVF in tract forceps minor	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract forceps minor (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5090	1	1	1
25716	Weighted-mean ISOVF in tract inferior fronto-occipital fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract left inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5100	1	1	1
25717	Weighted-mean ISOVF in tract inferior fronto-occipital fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract right inferior fronto-occipital fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5110	1	1	1
25718	Weighted-mean ISOVF in tract inferior longitudinal fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract left inferior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5120	1	1	1
25719	Weighted-mean ISOVF in tract inferior longitudinal fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract right inferior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5130	1	1	1
25720	Weighted-mean ISOVF in tract middle cerebellar peduncle	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract middle cerebellar peduncle (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5160	1	1	1
25721	Weighted-mean ISOVF in tract medial lemniscus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract left medial lemniscus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5140	1	1	1
25722	Weighted-mean ISOVF in tract medial lemniscus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract right medial lemniscus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5150	1	1	1
25723	Weighted-mean ISOVF in tract posterior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract left posterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5190	1	1	1
25724	Weighted-mean ISOVF in tract posterior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract right posterior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5200	1	1	1
25725	Weighted-mean ISOVF in tract superior longitudinal fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract left superior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5210	1	1	1
25726	Weighted-mean ISOVF in tract superior longitudinal fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract right superior longitudinal fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5220	1	1	1
25727	Weighted-mean ISOVF in tract superior thalamic radiation (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract left superior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5230	1	1	1
25728	Weighted-mean ISOVF in tract superior thalamic radiation (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract right superior thalamic radiation (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5240	1	1	1
25729	Weighted-mean ISOVF in tract uncinate fasciculus (left)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract left uncinate fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5250	1	1	1
25730	Weighted-mean ISOVF in tract uncinate fasciculus (right)	0	2	0	31	0	0	3	1	0	0	AU	135	0	2	2	3	0	0	Weighted-mean ISOVF (isotropic or free water volume fraction) in tract right uncinate fasciculus (from dMRI data)	2015-10-09T00:00:00	2023-02-27T00:00:00	44313	48842	5260	1	1	1
25731	Discrepancy between T1 brain image and standard-space brain template (linearly-aligned)	0	2	0	31	0	0	3	1	0	0	AU	110	0	2	2	3	0	0	Discrepancy between the T1 brain image (linearly-aligned to standard space) and the standard-space brain template	2015-10-09T00:00:00	2023-02-27T00:00:00	46535	51182	140	1	1	1
25732	Discrepancy between T1 brain image and standard-space brain template (nonlinearly-aligned)	0	2	0	31	0	0	3	1	0	0	AU	110	0	2	2	3	0	0	Discrepancy between the T1 brain image (nonlinearly-aligned to standard space) and the standard-space brain template	2015-10-09T00:00:00	2023-02-27T00:00:00	46535	51182	150	1	1	1
25733	Amount of warping applied to non-linearly align T1 brain image to standard-space	0	2	0	31	0	0	3	1	0	0	AU	110	0	2	2	3	0	0	Amount of warping (averaged distortion) applied to nonlinearly align the T1 brain image to standard-space	2015-10-09T00:00:00	2023-02-27T00:00:00	46535	51182	130	1	1	1
25734	Inverted signal-to-noise ratio in T1	0	2	0	31	0	0	3	1	0	0	ratio	110	0	2	2	3	0	0	Inverted signal-to-noise ratio in the T1 - background spatial standard deviation divided by mean brain intensity	2015-10-09T00:00:00	2023-02-27T00:00:00	46535	51182	170	1	1	1
25735	Inverted contrast-to-noise ratio in T1	0	2	0	31	0	0	3	1	0	0	ratio	110	0	2	2	3	0	0	Inverted contrast-to-noise ratio in the T1 - background spatial standard deviation divided by contrast between white and grey matter mean intensities	2015-10-09T00:00:00	2023-02-27T00:00:00	46535	51182	160	1	1	1
25736	Discrepancy between T2 FLAIR brain image and T1 brain image	0	2	0	31	0	0	3	1	0	0	AU	112	0	2	2	3	0	0	Discrepancy between the T2 FLAIR brain image (linearly-aligned to the T1) and the T1 brain image	2015-10-09T00:00:00	2023-02-27T00:00:00	45209	49781	130	1	1	1
25737	Discrepancy between dMRI brain image and T1 brain image	0	2	0	31	0	0	3	1	0	0	AU	107	0	2	2	3	0	0	Discrepancy between the (EPI-unwarped b=0) dMRI brain image (linearly-aligned to the T1) and the T1 brain image	2015-10-09T00:00:00	2023-02-27T00:00:00	44822	49379	120	1	1	1
25738	Discrepancy between SWI brain image and T1 brain image	0	2	0	31	0	0	3	1	0	0	AU	109	0	2	2	3	0	0	Discrepancy between the (magnitude) SWI brain image (linearly-aligned to the T1) and the T1 brain image	2015-10-09T00:00:00	2023-02-27T00:00:00	42194	46051	120	1	1	1
25739	Discrepancy between rfMRI brain image and T1 brain image	0	2	0	31	0	0	3	1	0	0	AU	111	0	2	2	3	0	0	Discrepancy between the (EPI-unwarped SBref) rfMRI brain image (linearly-aligned to the T1) and the T1 brain image	2015-10-09T00:00:00	2023-02-27T00:00:00	44730	49278	120	1	1	1
25740	Discrepancy between tfMRI brain image and T1 brain image	0	2	0	31	0	0	3	1	0	0	AU	106	0	2	2	3	0	0	Discrepancy between the (EPI-unwarped SBref) tfMRI brain image (linearly-aligned to the T1) and the T1 brain image	2015-10-09T00:00:00	2023-02-27T00:00:00	39075	42938	160	1	1	1
25741	Mean rfMRI head motion, averaged across space and time points	0	2	0	31	0	0	3	1	0	0	mm	111	0	2	2	3	0	0	Mean rfMRI head motion, averaged across space and time points	2015-10-09T00:00:00	2023-02-27T00:00:00	44730	49278	190	1	1	1
25742	Mean tfMRI head motion, averaged across space and time points	0	2	0	31	0	0	3	1	0	0	mm	106	0	2	2	3	0	0	Mean tfMRI head motion, averaged across space and time points	2015-10-09T00:00:00	2023-02-27T00:00:00	39075	42938	430	1	1	1
25743	Inverted temporal signal-to-noise ratio in pre-processed rfMRI	0	2	0	31	0	0	3	1	0	0	ratio	111	0	2	2	3	0	0	Inverted temporal signal-to-noise ratio in the pre-processed rfMRI. Reciprocal of median (across brain voxels) of voxelwise mean intensity divided by voxelwise time-series standard deviation	2015-10-09T00:00:00	2023-02-27T00:00:00	44730	49278	210	1	1	1
25744	Inverted temporal signal-to-noise ratio in artefact-cleaned pre-processed rfMRI	0	2	0	31	0	0	3	1	0	0	ratio	111	0	2	2	3	0	0	Inverted temporal signal-to-noise ratio in the artefact-cleaned pre-processed rfMRI. Reciprocal of median (across brain voxels) of voxelwise mean intensity divided by voxelwise time-series standard deviation	2015-10-09T00:00:00	2023-02-27T00:00:00	44728	49276	200	1	1	1
25745	Inverted temporal signal-to-noise ratio in pre-processed tfMRI	0	2	0	31	0	0	3	1	0	0	ratio	106	0	2	2	3	0	0	Inverted temporal signal-to-noise ratio in the pre-processed tfMRI. Reciprocal of median (across brain voxels) of voxelwise mean intensity divided by voxelwise time-series standard deviation	2015-10-09T00:00:00	2023-02-27T00:00:00	39075	42938	330	1	1	1
25746	Number of dMRI outlier slices detected and corrected	0	2	0	11	0	0	3	1	0	0	slices	107	0	2	2	3	0	0	Number of dMRI outlier slices (across all slices in all volumes) detected and corrected	2015-10-09T00:00:00	2023-02-27T00:00:00	44274	47660	4450	1	1	1
25747	Eprime advisor file	0	2	0	41	0	20	0	1	0	0		106	0	2	2	3	0	0	Eprime advisor file	2015-10-13T00:00:00	2020-02-08T00:00:00	36238	37642	190	3	2	3
25748	Eprime txt file	0	2	0	41	0	20	0	1	0	0		106	0	2	2	3	0	0	Eprime txt file	2015-10-13T00:00:00	2020-02-08T00:00:00	36572	37983	180	3	2	3
25749	Eprime ed2 file	0	2	0	41	0	20	0	1	0	0		106	0	2	2	3	0	0	Eprime ed2 file	2015-10-13T00:00:00	2020-02-08T00:00:00	36238	37642	200	3	2	3
25750	rfMRI full correlation matrix, dimension 25	0	2	0	41	0	20	3	1	0	0		111	0	2	2	3	0	0	rfMRI full correlation matrix, dimension 25	2015-10-22T00:00:00	2023-02-27T00:00:00	44691	49239	130	3	2	3
25751	rfMRI full correlation matrix, dimension 100	0	2	0	41	0	20	3	1	0	0		111	0	2	2	3	0	0	rfmri full correlation matrix, dimension 100	2015-10-22T00:00:00	2023-02-27T00:00:00	44691	49239	160	3	2	3
25752	rfMRI partial correlation matrix, dimension 25	0	2	0	41	0	20	3	1	0	0		111	0	2	2	3	0	0	rfMRI partial correlation matrix, dimension 25	2015-10-22T00:00:00	2023-02-27T00:00:00	44691	49239	140	3	2	3
25753	rfMRI partial correlation matrix, dimension 100	0	2	0	41	0	20	3	1	0	0		111	0	2	2	3	0	0	rfMRI partial correlation matrix, dimension 100	2015-10-22T00:00:00	2023-02-27T00:00:00	44691	49239	170	3	2	3
25754	rfMRI component amplitudes, dimension 25	0	2	0	41	0	20	3	1	0	0		111	0	2	2	3	0	0	rfMRI component amplitudes, dimension 25	2016-09-16T00:00:00	2023-02-27T00:00:00	44690	49238	150	3	2	3
25755	rfMRI component amplitudes, dimension 100	0	2	0	41	0	20	3	1	0	0		111	0	2	2	3	0	0	rfMRI component amplitudes, dimension 100	2016-09-16T00:00:00	2023-02-27T00:00:00	44690	49238	180	3	2	3
25756	Scanner lateral (X) brain position	0	2	0	31	0	0	2	1	0	0	Units	110	1317	2	2	3	0	0	The exact location of the head and the radio-frequency receive coil in the scanner can affect data quality and imaging-derived phenotypes. To help account for variations in position in different scanned participants, several variables have been generated which describe aspects of the positioning and can be used as "confounding variables" - for example they might be regressed out of brain phenotypes before carrying out correlations between these and non-imaging variables. <p> The lateral brain position is the X-co-ordinate (left-right) of the centre of the brain mask within the scanner.	2017-08-10T00:00:00	2023-02-27T00:00:00	47390	52164	1830	1	1	1
25757	Scanner transverse (Y) brain position	0	2	0	31	0	0	2	1	0	0	Units	110	1317	2	2	3	0	0	The exact location of the head and the radio-frequency receive coil in the scanner can affect data quality and imaging-derived phenotypes. To help account for variations in position in different scanned participants, several variables have been generated which describe aspects of the positioning and can be used as "confounding variables" - for example they might be regressed out of brain phenotypes before carrying out correlations between these and non-imaging variables. <p> The transverse brain position is the Y-co-ordinate (front-back relative to head) of the back of the brain mask within the scanner.	2017-08-10T00:00:00	2023-02-27T00:00:00	47390	52164	1840	1	1	1
25758	Scanner longitudinal (Z) brain position	0	2	0	31	0	0	2	1	0	0	Units	110	1317	2	2	3	0	0	The exact location of the head and the radio-frequency receive coil in the scanner can affect data quality and imaging-derived phenotypes. To help account for variations in position in different scanned participants, several variables have been generated which describe aspects of the positioning and can be used as "confounding variables" - for example they might be regressed out of brain phenotypes before carrying out correlations between these and non-imaging variables. <p> The longitudinal brain position is the Z-co-ordinate of the centre of the brain mask within the scanner. The Z axis points down the centre of the magnet.	2017-08-10T00:00:00	2023-02-27T00:00:00	47371	52134	1850	1	1	1
25759	Scanner table position	0	2	0	31	0	0	2	1	0	0	Units	110	1317	2	2	3	0	0	The exact location of the head and the radio-frequency receive coil in the scanner can affect data quality and imaging-derived phenotypes. To help account for variations in position in different scanned participants, several variables have been generated which describe aspects of the positioning and can be used as "confounding variables" - for example they might be regressed out of brain phenotypes before carrying out correlations between these and non-imaging variables. <p> The table position is the Z-co-ordinate of the coil (and the scanner table that the coil sits on) within the scanner. The Z axis points down the centre of the magnet.	2017-08-10T00:00:00	2023-02-27T00:00:00	47482	52259	1860	1	1	1
25761	90th percentile of BOLD effect (in group-defined mask) for shapes activation	0	2	0	31	0	0	3	1	0	0	percent	106	0	2	2	3	0	0	90th percentile of the BOLD (blood-oxygen-level dependent) effect (in group-defined mask) for shapes activation (in task fMRI data)	2015-10-12T00:00:00	2023-02-27T00:00:00	39064	42927	250	1	1	1
25762	90th percentile of z-statistic (in group-defined mask) for shapes activation	0	2	0	31	0	0	3	1	0	0	Z	106	0	2	2	3	0	0	90th percentile of the z-statistic (in group-defined mask) for shapes activation (in task fMRI data)	2015-10-12T00:00:00	2023-02-27T00:00:00	39064	42927	290	1	1	1
25763	90th percentile of BOLD effect (in group-defined mask) for faces activation	0	2	0	31	0	0	3	1	0	0	percent	106	0	2	2	3	0	0	90th percentile of the BOLD (blood-oxygen-level dependent) effect (in group-defined mask) for faces activation (in task fMRI data)	2015-10-12T00:00:00	2023-02-27T00:00:00	39064	42927	240	1	1	1
25764	90th percentile of z-statistic (in group-defined mask) for faces activation	0	2	0	31	0	0	3	1	0	0	Z	106	0	2	2	3	0	0	90th percentile of the z-statistic (in group-defined mask) for faces activation (in task fMRI data)	2015-10-12T00:00:00	2023-02-27T00:00:00	39064	42927	280	1	1	1
25765	90th percentile of BOLD effect (in group-defined mask) for faces-shapes contrast	0	2	0	31	0	0	3	1	0	0	percent	106	0	2	2	3	0	0	90th percentile of the BOLD (blood-oxygen-level dependent) effect (in group-defined mask) for faces-shapes contrast (in task fMRI data)	2015-10-12T00:00:00	2023-02-27T00:00:00	39064	42927	260	1	1	1
25766	90th percentile of z-statistic (in group-defined mask) for faces-shapes contrast	0	2	0	31	0	0	3	1	0	0	Z	106	0	2	2	3	0	0	90th percentile of the z-statistic (in group-defined mask) for faces-shapes contrast (in task fMRI data)	2015-10-12T00:00:00	2023-02-27T00:00:00	39064	42927	300	1	1	1
25767	90th percentile of BOLD effect (in group-defined amygdala activation mask) for faces-shapes contrast	0	2	0	31	0	0	3	1	0	0	percent	106	0	2	2	3	0	0	90th percentile of the BOLD (blood-oxygen-level dependent) effect (in group-defined amygdala activation mask) for faces-shapes contrast (in task fMRI data)	2015-10-12T00:00:00	2023-02-27T00:00:00	39064	42927	230	1	1	1
25768	90th percentile of z-statistic (in group-defined amygdala activation mask) for faces-shapes contrast	0	2	0	31	0	0	3	1	0	0	Z	106	0	2	2	3	0	0	90th percentile of the z-statistic (in group-defined amygdala activation mask) for faces-shapes contrast (in task fMRI data)	2015-10-12T00:00:00	2023-02-27T00:00:00	39064	42927	270	1	1	1
25780	Acquisition protocol phase.	0	2	0	21	11	0	2	1	0	0		100	778	2	2	2	0	0	The acquisition protocol Phase number. Only dMRI (~L107~) and T2_FLAIR (~L112~) from Phase 2 are not compatible across all versions, and Quality Control measures and derived phenotypes are not generated for these.	2015-10-21T00:00:00	2015-10-23T00:00:00	4520	4520	0	1	1	1
25781	Total volume of white matter hyperintensities (from T1 and T2_FLAIR images)	0	2	0	31	0	0	3	1	0	0	mm3	112	0	2	2	3	0	0	Total volume of white matter hyperintensities (from T1 and T2_FLAIR images)	2017-01-18T00:00:00	2023-02-27T00:00:00	45204	49776	120	1	1	1
25782	Volume of grey matter in Frontal Pole (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Frontal Pole	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	370	1	1	1
25783	Volume of grey matter in Frontal Pole (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Frontal Pole	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	380	1	1	1
25784	Volume of grey matter in Insular Cortex (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Insular Cortex	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	580	1	1	1
25785	Volume of grey matter in Insular Cortex (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Insular Cortex	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	590	1	1	1
25786	Volume of grey matter in Superior Frontal Gyrus (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Superior Frontal Gyrus	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1060	1	1	1
25787	Volume of grey matter in Superior Frontal Gyrus (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Superior Frontal Gyrus	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1070	1	1	1
25788	Volume of grey matter in Middle Frontal Gyrus (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Middle Frontal Gyrus	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	700	1	1	1
25789	Volume of grey matter in Middle Frontal Gyrus (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Middle Frontal Gyrus	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	710	1	1	1
25790	Volume of grey matter in Inferior Frontal Gyrus, pars triangularis (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Inferior Frontal Gyrus, pars triangularis	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	500	1	1	1
25791	Volume of grey matter in Inferior Frontal Gyrus, pars triangularis (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Inferior Frontal Gyrus, pars triangularis	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	510	1	1	1
25792	Volume of grey matter in Inferior Frontal Gyrus, pars opercularis (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Inferior Frontal Gyrus, pars opercularis	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	480	1	1	1
25793	Volume of grey matter in Inferior Frontal Gyrus, pars opercularis (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Inferior Frontal Gyrus, pars opercularis	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	490	1	1	1
25794	Volume of grey matter in Precentral Gyrus (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Precentral Gyrus	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	980	1	1	1
25795	Volume of grey matter in Precentral Gyrus (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Precentral Gyrus	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	990	1	1	1
25796	Volume of grey matter in Temporal Pole (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Temporal Pole	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1260	1	1	1
25797	Volume of grey matter in Temporal Pole (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Temporal Pole	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1270	1	1	1
25798	Volume of grey matter in Superior Temporal Gyrus, anterior division (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Superior Temporal Gyrus, anterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1100	1	1	1
25799	Volume of grey matter in Superior Temporal Gyrus, anterior division (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Superior Temporal Gyrus, anterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1110	1	1	1
25800	Volume of grey matter in Superior Temporal Gyrus, posterior division (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Superior Temporal Gyrus, posterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1120	1	1	1
25801	Volume of grey matter in Superior Temporal Gyrus, posterior division (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Superior Temporal Gyrus, posterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1130	1	1	1
25802	Volume of grey matter in Middle Temporal Gyrus, anterior division (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Middle Temporal Gyrus, anterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	720	1	1	1
25803	Volume of grey matter in Middle Temporal Gyrus, anterior division (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Middle Temporal Gyrus, anterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	730	1	1	1
25804	Volume of grey matter in Middle Temporal Gyrus, posterior division (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Middle Temporal Gyrus, posterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	740	1	1	1
25805	Volume of grey matter in Middle Temporal Gyrus, posterior division (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Middle Temporal Gyrus, posterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	750	1	1	1
25806	Volume of grey matter in Middle Temporal Gyrus, temporooccipital part (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Middle Temporal Gyrus, temporooccipital part	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	760	1	1	1
25807	Volume of grey matter in Middle Temporal Gyrus, temporooccipital part (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Middle Temporal Gyrus, temporooccipital part	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	770	1	1	1
25808	Volume of grey matter in Inferior Temporal Gyrus, anterior division (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Inferior Temporal Gyrus, anterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	520	1	1	1
25809	Volume of grey matter in Inferior Temporal Gyrus, anterior division (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Inferior Temporal Gyrus, anterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	530	1	1	1
25810	Volume of grey matter in Inferior Temporal Gyrus, posterior division (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Inferior Temporal Gyrus, posterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	540	1	1	1
25811	Volume of grey matter in Inferior Temporal Gyrus, posterior division (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Inferior Temporal Gyrus, posterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	550	1	1	1
25812	Volume of grey matter in Inferior Temporal Gyrus, temporooccipital part (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Inferior Temporal Gyrus, temporooccipital part	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	560	1	1	1
25813	Volume of grey matter in Inferior Temporal Gyrus, temporooccipital part (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Inferior Temporal Gyrus, temporooccipital part	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	570	1	1	1
25814	Volume of grey matter in Postcentral Gyrus (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Postcentral Gyrus	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	960	1	1	1
25815	Volume of grey matter in Postcentral Gyrus (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Postcentral Gyrus	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	970	1	1	1
25816	Volume of grey matter in Superior Parietal Lobule (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Superior Parietal Lobule	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1080	1	1	1
25817	Volume of grey matter in Superior Parietal Lobule (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Superior Parietal Lobule	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1090	1	1	1
25818	Volume of grey matter in Supramarginal Gyrus, anterior division (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Supramarginal Gyrus, anterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1160	1	1	1
25819	Volume of grey matter in Supramarginal Gyrus, anterior division (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Supramarginal Gyrus, anterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1170	1	1	1
25820	Volume of grey matter in Supramarginal Gyrus, posterior division (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Supramarginal Gyrus, posterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1180	1	1	1
25821	Volume of grey matter in Supramarginal Gyrus, posterior division (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Supramarginal Gyrus, posterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1190	1	1	1
25822	Volume of grey matter in Angular Gyrus (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Angular Gyrus	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	120	1	1	1
25823	Volume of grey matter in Angular Gyrus (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Angular Gyrus	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	130	1	1	1
25824	Volume of grey matter in Lateral Occipital Cortex, superior division (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Lateral Occipital Cortex, superior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	660	1	1	1
25825	Volume of grey matter in Lateral Occipital Cortex, superior division (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Lateral Occipital Cortex, superior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	670	1	1	1
25826	Volume of grey matter in Lateral Occipital Cortex, inferior division (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Lateral Occipital Cortex, inferior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	640	1	1	1
25827	Volume of grey matter in Lateral Occipital Cortex, inferior division (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Lateral Occipital Cortex, inferior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	650	1	1	1
25828	Volume of grey matter in Intracalcarine Cortex (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Intracalcarine Cortex	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	600	1	1	1
25829	Volume of grey matter in Intracalcarine Cortex (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Intracalcarine Cortex	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	610	1	1	1
25830	Volume of grey matter in Frontal Medial Cortex (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Frontal Medial Cortex	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	310	1	1	1
25831	Volume of grey matter in Frontal Medial Cortex (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Frontal Medial Cortex	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	320	1	1	1
25832	Volume of grey matter in Juxtapositional Lobule Cortex (formerly Supplementary Motor Cortex) (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Juxtapositional Lobule Cortex (formerly Supplementary Motor Cortex)	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	620	1	1	1
25833	Volume of grey matter in Juxtapositional Lobule Cortex (formerly Supplementary Motor Cortex) (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Juxtapositional Lobule Cortex (formerly Supplementary Motor Cortex)	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	630	1	1	1
25834	Volume of grey matter in Subcallosal Cortex (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Subcallosal Cortex	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1040	1	1	1
25835	Volume of grey matter in Subcallosal Cortex (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Subcallosal Cortex	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1050	1	1	1
25836	Volume of grey matter in Paracingulate Gyrus (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Paracingulate Gyrus	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	840	1	1	1
25837	Volume of grey matter in Paracingulate Gyrus (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Paracingulate Gyrus	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	850	1	1	1
25838	Volume of grey matter in Cingulate Gyrus, anterior division (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Cingulate Gyrus, anterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	190	1	1	1
25839	Volume of grey matter in Cingulate Gyrus, anterior division (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Cingulate Gyrus, anterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	200	1	1	1
25840	Volume of grey matter in Cingulate Gyrus, posterior division (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Cingulate Gyrus, posterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	210	1	1	1
25841	Volume of grey matter in Cingulate Gyrus, posterior division (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Cingulate Gyrus, posterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	220	1	1	1
25842	Volume of grey matter in Precuneous Cortex (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Precuneous Cortex	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1000	1	1	1
25843	Volume of grey matter in Precuneous Cortex (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Precuneous Cortex	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1010	1	1	1
25844	Volume of grey matter in Cuneal Cortex (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Cuneal Cortex	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	290	1	1	1
25845	Volume of grey matter in Cuneal Cortex (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Cuneal Cortex	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	300	1	1	1
25846	Volume of grey matter in Frontal Orbital Cortex (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Frontal Orbital Cortex	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	350	1	1	1
25847	Volume of grey matter in Frontal Orbital Cortex (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Frontal Orbital Cortex	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	360	1	1	1
25848	Volume of grey matter in Parahippocampal Gyrus, anterior division (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Parahippocampal Gyrus, anterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	860	1	1	1
25849	Volume of grey matter in Parahippocampal Gyrus, anterior division (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Parahippocampal Gyrus, anterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	870	1	1	1
25850	Volume of grey matter in Parahippocampal Gyrus, posterior division (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Parahippocampal Gyrus, posterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	880	1	1	1
25851	Volume of grey matter in Parahippocampal Gyrus, posterior division (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Parahippocampal Gyrus, posterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	890	1	1	1
25852	Volume of grey matter in Lingual Gyrus (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Lingual Gyrus	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	680	1	1	1
25853	Volume of grey matter in Lingual Gyrus (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Lingual Gyrus	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	690	1	1	1
25854	Volume of grey matter in Temporal Fusiform Cortex, anterior division (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Temporal Fusiform Cortex, anterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1200	1	1	1
25855	Volume of grey matter in Temporal Fusiform Cortex, anterior division (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Temporal Fusiform Cortex, anterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1210	1	1	1
25856	Volume of grey matter in Temporal Fusiform Cortex, posterior division (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Temporal Fusiform Cortex, posterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1220	1	1	1
25857	Volume of grey matter in Temporal Fusiform Cortex, posterior division (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Temporal Fusiform Cortex, posterior division	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1230	1	1	1
25858	Volume of grey matter in Temporal Occipital Fusiform Cortex (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Temporal Occipital Fusiform Cortex	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1240	1	1	1
25859	Volume of grey matter in Temporal Occipital Fusiform Cortex (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Temporal Occipital Fusiform Cortex	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1250	1	1	1
25860	Volume of grey matter in Occipital Fusiform Gyrus (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Occipital Fusiform Gyrus	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	780	1	1	1
25861	Volume of grey matter in Occipital Fusiform Gyrus (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Occipital Fusiform Gyrus	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	790	1	1	1
25862	Volume of grey matter in Frontal Operculum Cortex (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Frontal Operculum Cortex	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	330	1	1	1
25863	Volume of grey matter in Frontal Operculum Cortex (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Frontal Operculum Cortex	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	340	1	1	1
25864	Volume of grey matter in Central Opercular Cortex (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Central Opercular Cortex	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	170	1	1	1
25865	Volume of grey matter in Central Opercular Cortex (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Central Opercular Cortex	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	180	1	1	1
25866	Volume of grey matter in Parietal Operculum Cortex (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Parietal Operculum Cortex	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	900	1	1	1
25867	Volume of grey matter in Parietal Operculum Cortex (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Parietal Operculum Cortex	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	910	1	1	1
25868	Volume of grey matter in Planum Polare (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Planum Polare	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	920	1	1	1
25869	Volume of grey matter in Planum Polare (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Planum Polare	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	930	1	1	1
25870	Volume of grey matter in Heschl's Gyrus (includes H1 and H2) (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Heschl's Gyrus (includes H1 and H2)	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	390	1	1	1
25871	Volume of grey matter in Heschl's Gyrus (includes H1 and H2) (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Heschl's Gyrus (includes H1 and H2)	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	400	1	1	1
25872	Volume of grey matter in Planum Temporale (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Planum Temporale	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	940	1	1	1
25873	Volume of grey matter in Planum Temporale (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Planum Temporale	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	950	1	1	1
25874	Volume of grey matter in Supracalcarine Cortex (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Supracalcarine Cortex	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1140	1	1	1
25875	Volume of grey matter in Supracalcarine Cortex (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Supracalcarine Cortex	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1150	1	1	1
25876	Volume of grey matter in Occipital Pole (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Occipital Pole	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	800	1	1	1
25877	Volume of grey matter in Occipital Pole (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Occipital Pole	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	810	1	1	1
25878	Volume of grey matter in Thalamus (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Thalamus	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1280	1	1	1
25879	Volume of grey matter in Thalamus (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Thalamus	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1290	1	1	1
25880	Volume of grey matter in Caudate (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Caudate	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	150	1	1	1
25881	Volume of grey matter in Caudate (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Caudate	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	160	1	1	1
25882	Volume of grey matter in Putamen (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Putamen	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1020	1	1	1
25883	Volume of grey matter in Putamen (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Putamen	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1030	1	1	1
25884	Volume of grey matter in Pallidum (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Pallidum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	820	1	1	1
25885	Volume of grey matter in Pallidum (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Pallidum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	830	1	1	1
25886	Volume of grey matter in Hippocampus (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Hippocampus	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	410	1	1	1
25887	Volume of grey matter in Hippocampus (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Hippocampus	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	420	1	1	1
25888	Volume of grey matter in Amygdala (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Amygdala	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	100	1	1	1
25889	Volume of grey matter in Amygdala (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Amygdala	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	110	1	1	1
25890	Volume of grey matter in Ventral Striatum (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Ventral Striatum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1440	1	1	1
25891	Volume of grey matter in Ventral Striatum (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Ventral Striatum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1450	1	1	1
25892	Volume of grey matter in Brain-Stem	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Brain-Stem	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	140	1	1	1
25893	Volume of grey matter in I-IV Cerebellum (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left I-IV Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	430	1	1	1
25894	Volume of grey matter in I-IV Cerebellum (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right I-IV Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	440	1	1	1
25895	Volume of grey matter in V Cerebellum (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left V Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1300	1	1	1
25896	Volume of grey matter in V Cerebellum (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right V Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1310	1	1	1
25897	Volume of grey matter in VI Cerebellum (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left VI Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1320	1	1	1
25898	Volume of grey matter in VI Cerebellum (vermis)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Vermis VI Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1340	1	1	1
25899	Volume of grey matter in VI Cerebellum (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right VI Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1330	1	1	1
25900	Volume of grey matter in Crus I Cerebellum (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Crus I Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	230	1	1	1
25901	Volume of grey matter in Crus I Cerebellum (vermis)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Vermis Crus I Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	250	1	1	1
25902	Volume of grey matter in Crus I Cerebellum (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Crus I Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	240	1	1	1
25903	Volume of grey matter in Crus II Cerebellum (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left Crus II Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	260	1	1	1
25904	Volume of grey matter in Crus II Cerebellum (vermis)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Vermis Crus II Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	280	1	1	1
25905	Volume of grey matter in Crus II Cerebellum (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right Crus II Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	270	1	1	1
25906	Volume of grey matter in VIIb Cerebellum (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left VIIb Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1410	1	1	1
25907	Volume of grey matter in VIIb Cerebellum (vermis)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Vermis VIIb Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1430	1	1	1
25908	Volume of grey matter in VIIb Cerebellum (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right VIIb Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1420	1	1	1
25909	Volume of grey matter in VIIIa Cerebellum (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left VIIIa Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1350	1	1	1
25910	Volume of grey matter in VIIIa Cerebellum (vermis)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Vermis VIIIa Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1370	1	1	1
25911	Volume of grey matter in VIIIa Cerebellum (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right VIIIa Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1360	1	1	1
25912	Volume of grey matter in VIIIb Cerebellum (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left VIIIb Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1380	1	1	1
25913	Volume of grey matter in VIIIb Cerebellum (vermis)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Vermis VIIIb Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1400	1	1	1
25914	Volume of grey matter in VIIIb Cerebellum (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right VIIIb Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1390	1	1	1
25915	Volume of grey matter in IX Cerebellum (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left IX Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	450	1	1	1
25916	Volume of grey matter in IX Cerebellum (vermis)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Vermis IX Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	470	1	1	1
25917	Volume of grey matter in IX Cerebellum (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right IX Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	460	1	1	1
25918	Volume of grey matter in X Cerebellum (left)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Left X Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1460	1	1	1
25919	Volume of grey matter in X Cerebellum (vermis)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Vermis X Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1470	1	1	1
25920	Volume of grey matter in X Cerebellum (right)	0	2	0	31	0	0	3	1	0	0	mm3	1101	0	2	2	3	0	0	Volume of grey matter in Right X Cerebellum	2017-01-18T00:00:00	2023-02-27T00:00:00	46530	51177	1480	1	1	1
25921	Increased search space in eddy current estimation used for dMRI	0	2	0	21	11	0	2	1	0	0		107	12	2	2	3	0	0	Whether increased search space in eddy current estimation was used for dMRI	2019-12-20T00:00:00	2023-02-27T00:00:00	46517	51164	0	1	1	1
25922	Standard deviation of apparent translation in the Y axis as measured by eddy	0	2	0	31	0	0	2	1	0	0	units	107	0	2	2	3	0	0	Standard deviation of apparent translation in the Y axis as measured by eddy	2019-12-20T00:00:00	2023-02-27T00:00:00	44832	49392	0	1	1	1
25923	Echo Time for rfMRI	0	2	0	31	0	0	2	1	0	0	milliseconds	111	0	2	2	3	0	0	Echo Time for the rfMRI	2019-12-20T00:00:00	2023-02-27T00:00:00	46405	51045	0	1	1	1
25924	Echo Time for tfMRI	0	2	0	31	0	0	2	1	0	0	milliseconds	106	0	2	2	3	0	0	Echo Time for the tfMRI	2019-12-20T00:00:00	2023-02-27T00:00:00	40814	44766	0	1	1	1
25925	Intensity scaling for T1	0	2	0	31	0	0	2	1	0	0	units	110	0	2	2	3	0	0	Intensity scaling for T1	2019-12-20T00:00:00	2023-02-27T00:00:00	46517	51164	0	1	1	1
25926	Intensity scaling for T2_FLAIR	0	2	0	31	0	0	2	1	0	0	units	112	0	2	2	3	0	0	Intensity scaling for T2_FLAIR	2019-12-20T00:00:00	2023-02-27T00:00:00	45781	50397	0	1	1	1
25927	Intensity scaling for SWI	0	2	0	31	0	0	2	1	0	0	units	109	0	2	2	3	0	0	Intensity scaling for SWI	2019-12-20T00:00:00	2023-02-27T00:00:00	42948	47281	0	1	1	1
25928	Intensity scaling for dMRI	0	2	0	31	0	0	2	1	0	0	units	107	0	2	2	3	0	0	Intensity scaling for dMRI	2019-12-20T00:00:00	2023-02-27T00:00:00	45119	49702	0	1	1	1
25929	Intensity scaling for rfMRI	0	2	0	31	0	0	2	1	0	0	units	111	0	2	2	3	0	0	Intensity scaling for rfMRI	2019-12-20T00:00:00	2023-02-27T00:00:00	46405	51045	0	1	1	1
25930	Intensity scaling for tfMRI	0	2	0	31	0	0	2	1	0	0	units	106	0	2	2	3	0	0	Intensity scaling for tfMRI	2019-12-20T00:00:00	2023-02-27T00:00:00	40814	44766	0	1	1	1
26000	Total weight of all foods and beverages	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Total weight of all foods and beverages from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26001	Total weight of beverages only 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Total weight of beverages only  from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26002	Energy 	0	0	0	31	0	0	0	1	0	0	kj	100117	0	1	0	4	0	0	Energy from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26003	Energy from beverages 	0	0	0	31	0	0	0	1	0	0	kj	100117	0	1	0	4	0	0	Energy from beverages from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26004	Energy density 	0	0	0	31	0	0	0	1	0	0	kj/g	100117	0	1	0	4	0	0	Energy density from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26005	Protein 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Protein from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26006	Vegetable protein 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Vegetable protein from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26007	Animal protein 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Animal protein from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26008	Fat 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Fat from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26009	Vegetable fat 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Vegetable fat  from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26010	Animal fat 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Animal fat  from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26011	Total sugars 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Total sugars from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26012	Free sugar 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Free sugar from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26013	Carbohydrate 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Carbohydrate from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26014	Saturated fatty acids 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Saturated fatty acids from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26015	n-3 fatty acids 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	n-3 fatty acids from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26016	n-6 fatty acids 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	n-6 fatty acids from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26017	Englyst fibre 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Englyst fibre from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26018	Calcium 	0	0	0	31	0	0	0	1	0	0	mg	100117	0	1	0	4	0	0	Calcium from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26019	Iron 	0	0	0	31	0	0	0	1	0	0	mg	100117	0	1	0	4	0	0	Iron from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26020	Vitamin B6 	0	0	0	31	0	0	0	1	0	0	mg	100117	0	1	0	4	0	0	Vitamin B6 from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26021	Vitamin B12 	0	0	0	31	0	0	0	1	0	0	ug	100117	0	1	0	4	0	0	Vitamin B12 from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26022	Folate 	0	0	0	31	0	0	0	1	0	0	ug	100117	0	1	0	4	0	0	Folate from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26023	Vitamin C 	0	0	0	31	0	0	0	1	0	0	mg	100117	0	1	0	4	0	0	Vitamin C from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26024	Potassium 	0	0	0	31	0	0	0	1	0	0	mg	100117	0	1	0	4	0	0	Potassium from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26025	Magnesium 	0	0	0	31	0	0	0	1	0	0	mg	100117	0	1	0	4	0	0	Magnesium from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26026	Retinol 	0	0	0	31	0	0	0	1	0	0	ug	100117	0	1	0	4	0	0	Retinol from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26027	Total carotene 	0	0	0	31	0	0	0	1	0	0	ug	100117	0	1	0	4	0	0	Total carotene from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26028	Vitamin E 	0	0	0	31	0	0	0	1	0	0	mg	100117	0	1	0	4	0	0	Vitamin E from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26029	Vitamin D 	0	0	0	31	0	0	0	1	0	0	ug	100117	0	1	0	4	0	0	Vitamin D from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26030	Alcohol 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Alcohol from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26031	Starch 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Starch from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26032	Monounsaturated fatty acids 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Monounsaturated fatty acids from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26033	Zinc 	0	0	0	31	0	0	0	1	0	0	mg	100117	0	1	0	4	0	0	Zinc from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26034	Thiamin 	0	0	0	31	0	0	0	1	0	0	mg	100117	0	1	0	4	0	0	Thiamin from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26035	Riboflavin 	0	0	0	31	0	0	0	1	0	0	mg	100117	0	1	0	4	0	0	Riboflavin from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26036	Phosphorus 	0	0	0	31	0	0	0	1	0	0	mg	100117	0	1	0	4	0	0	Phosphorus from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26037	Cholesterol 	0	0	0	31	0	0	0	1	0	0	mg	100117	0	1	0	4	0	0	Cholesterol from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26038	Alpha-carotene 	0	0	0	31	0	0	0	1	0	0	ug	100117	0	1	0	4	0	0	Alpha-carotene from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26039	Beta-carotene 	0	0	0	31	0	0	0	1	0	0	ug	100117	0	1	0	4	0	0	Beta-carotene from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26040	Beta cryptoxanthin 	0	0	0	31	0	0	0	1	0	0	ug	100117	0	1	0	4	0	0	Beta cryptoxanthin from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26041	Biotin 	0	0	0	31	0	0	0	1	0	0	ug	100117	0	1	0	4	0	0	Biotin from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26042	Chloride 	0	0	0	31	0	0	0	1	0	0	mg	100117	0	1	0	4	0	0	Chloride from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26043	Copper 	0	0	0	31	0	0	0	1	0	0	mg	100117	0	1	0	4	0	0	Copper from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26044	Fructose 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Fructose from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26045	Glucose 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Glucose from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26046	Haem iron 	0	0	0	31	0	0	0	1	0	0	mg	100117	0	1	0	4	0	0	Haem iron from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26047	Iodine 	0	0	0	31	0	0	0	1	0	0	ug	100117	0	1	0	4	0	0	Iodine from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26048	Lactose 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Lactose from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26049	Maltose 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Maltose from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26050	Intrinsic and milk sugars 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Intrinsic and milk sugars from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26051	Manganese 	0	0	0	31	0	0	0	1	0	0	mg	100117	0	1	0	4	0	0	Manganese from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26052	Sodium 	0	0	0	31	0	0	0	1	0	0	mg	100117	0	1	0	4	0	0	Sodium from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26053	Non-haem iron 	0	0	0	31	0	0	0	1	0	0	mg	100117	0	1	0	4	0	0	Non-haem iron from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26054	Niacin equivalent 	0	0	0	31	0	0	0	1	0	0	mg	100117	0	1	0	4	0	0	Niacin equivalent from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26055	Non-milk extrinsic sugars 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Non-milk extrinsic sugars from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26056	Other Sugars 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Other Sugars from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26057	Pantothenic acid 	0	0	0	31	0	0	0	1	0	0	mg	100117	0	1	0	4	0	0	Pantothenic acid from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26058	Selenium 	0	0	0	31	0	0	0	1	0	0	ug	100117	0	1	0	4	0	0	Selenium from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26059	Sucrose 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Sucrose from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26060	Total nitrogen 	0	0	0	31	0	0	0	1	0	0	g	100117	0	1	0	4	0	0	Total nitrogen from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26061	Vitamin A retinol equivalents 	0	0	0	31	0	0	0	1	0	0	ug	100117	0	1	0	4	0	0	Vitamin A from overall diet.Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26062	Animal fat spread lower fat	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Animal fat spread lower fat. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26063	Animal fat spread normal	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Animal fat spread normal. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26064	Added sugars and preserves	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Added sugars and preserves. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26065	Allium vegetables	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Allium vegetables. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26066	Beef	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Beef. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26067	Beer and cider	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group: Beer and cider. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26068	Biscuits	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Biscuits. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26069	Breaded/battered chicken	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group: Breaded/battered chicken. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26070	Breaded/battered fish	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group: Breaded/battered fish. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26071	Mixed bread (50/50), brown and seeded	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Mixed, brown and seeded. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26072	Other bread	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Other bread. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26073	White bread	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  White bread. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26074	Wholemeal bread	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Wholemeal bread. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26075	Biscuit cereal	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Biscuit cereal. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26076	Bran cereal	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Bran cereal. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26077	Oat cereal (non sugar)	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group: Oat cereal (non sugar). Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26078	Oat cereal (sugar)	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group: Oat cereal (sugar). Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26079	Other cereal (sugar)	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Other cereal. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26080	Chocolate confectionery	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Chocolate confectionery. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26081	Coffee, caffeinated	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Coffee, caffeinated. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26082	Coffee, decaffeinated	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Coffee, decaffeinated. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26083	Savoury crackers	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Savoury crackers. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26084	Milk-dairy desserts	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Milk-dairy desserts. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26085	Other desserts and cakes and pastries	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Other desserts and cakes and pastries. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26086	Soy desserts and yogurt	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Soy desserts and yogurt. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26087	Milk-based and powdered drinks	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Milk-based and powdered drinks. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26088	Egg and egg dishes	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Egg and egg dishes. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26089	Apples and pears	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Apples and pears. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26090	Berries	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Berries. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26091	Citrus	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Citrus. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26092	Dried fruit	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Dried fruit. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26093	Other fruit	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Other fruit. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26094	Stewed fruit	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Stewed fruit. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26095	Fruit juice	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Fruit juice. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26096	Full fat yogurt	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Full fat yogurt. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26097	Grain dishes - added fat	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Grain dishes - added fat. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26098	Green leafy/cabbages	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group: Green leafy vegetables/cabbages. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26099	High fat cheese	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  High fat cheese ( > 17.5 g fat per 100 g). Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26100	Lamb	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Lamb. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26101	Legumes and pulses	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Legumes and pulses. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26102	Low fat yogurt	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Low fat yogurt. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26103	Medium and low fat cheese	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group: Medium and low fat cheese (&le; 17.5g fat per 100 g). Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26104	Other meat, offal	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Other meat, offal. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26105	Muesli	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Muesli. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26106	Nut-based spreads	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Nut-based spreads. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26107	Unsalted nuts and seeds	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Unsalted nuts and seeds. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26108	Salted nuts and seeds	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Salted nuts and seeds. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26109	Oily fish	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Oily fish. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26110	Olive oil (drizzling/dunking)	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Olive oil. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26111	Plant-based spread lower fat	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Plant-based spread lower fat. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26112	Plant-based spread normal	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Plant-based spread normal. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26113	White pasta and rice	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  White pasta and rice. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26114	Wholemeal pasta, brown rice and other wholegrains	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Wholemeal pasta, brown rice and other wholegrains. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26115	Peas and sweetcorn	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group: Peas/sweetcorn. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26116	Pizza	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Pizza. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26117	Pork	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Pork. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26118	Potatoes and sweet potatoes (baked/boiled)	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group: Potatoes and sweet potatoes. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26119	Fried/roast potatoes	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Fried/roast potatoes. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26120	Mashed potatoes	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Mashed potatoes. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26121	Poultry	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Poultry. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26122	Processed meat	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Processed meat. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26123	Raw salad	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Raw salad. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26124	Rice/oat milk	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Rice/oat milk. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26125	Root vegetables	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Root vegetables. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26126	Low/non sugar sugar-sweetened beverages	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Low/non sugar sugar-sweetened beverages. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26127	Sugar-sweetened beverages and other sugary drinks	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Sugar-sweetened beverages and other sugary drinks. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26128	Samosa, pakora	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Samosa, pakora. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26129	Sauces and condiments (high fat)	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group: Sauces and condiments (high fat). Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26130	Sauces and condiments (low fat)	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group: Sauces and condiments (low fat). Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26131	Semi skimmed milk	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Semi skimmed milk ( >1 g fat per 100 g). Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26132	Shellfish	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Shellfish. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26133	Skimmed milk and cholesterol-lowering milk	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Skimmed milk and cholesterol-lowering milk. Estimated intake from past 24 hours .	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26134	Savoury snacks	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Savoury snacks. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26135	Soups	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Soups. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26136	Soy milk	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Soy milk. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26137	Meat substitutes - soy	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group: Meat substitutes - soy. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26138	Spirits	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Spirits. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26139	Sushi	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Sushi. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26140	Other sweets	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Other sweets. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26141	Tea	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Tea. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26142	Tea, decaffeinated	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Tea, decaffeinated. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26143	Tomatoes	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Tomatoes. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26144	Vegetable dips	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Vegetable dips. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26145	Meat substitutes - vegetarian	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group: Meat substitutes - vegetarian. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26146	Other vegetables, including mushrooms, fruiting and mixed vegetables	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Other vegetables, including mushrooms, fruiting and mixed vegetables. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26147	Vegetable side dishes	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Vegetable side dishes. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26148	Water (still and sparkling)	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group: Water/sparkling water. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26149	White fish and tinned tuna	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  White fish and tinned tuna. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26150	Whole milk	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Whole milk (>3.6 g fat per 100 g). Estimated intake from past 24 hours. 	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26151	Fortified wine	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Fortified wine. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26152	Red wine	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Red wine. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26153	White wine	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  White wine. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26154	Cream	0	0	0	31	0	0	0	1	0	0	g	100118	0	1	0	4	0	0	Total weight of food group:  Cream. Estimated intake from past 24 hours.	2022-04-25T00:00:00	2022-05-05T00:00:00	210950	458457	0	1	1	1
26155	Trans fatty acids	0	0	0	31	0	0	3	1	0	0	g	100117	0	1	0	4	0	0	Trans fatty acids from overall diet. Estimated intake from past 24 hours.	2022-04-27T00:00:00	2022-05-05T00:00:00	210950	458456	0	1	1	1
26200	In UK Biobank PRS Release Testing subgroup	0	0	0	21	11	0	0	0	0	0		300	1	0	0	0	0	0	Indicator of whether a participant is in the PRS Release Testing subgroup of UK Biobank participants	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26201	PRS genetic principal components	0	0	0	31	0	0	3	0	1	0		300	0	0	0	0	0	3	PC1,PC2,PC3,PC4: scores for the first four PC axes obtained from the common genotype data in the 1000 genomes reference dataset using standard methods (Price et al, 2006)	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	1944532	0	2	2	2
26202	Standard PRS for age at menopause (AAM)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26203	Enhanced PRS for age at menopause (AAM)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26204	Standard PRS for age-related macular degeneration (AMD)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26205	Enhanced PRS for age-related macular degeneration (AMD)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26206	Standard PRS for alzheimer's disease (AD)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26207	Enhanced PRS for alzheimer's disease (AD)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26208	Enhanced PRS for apolipoprotein a1 (APOEA)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26209	Enhanced PRS for apolipoprotein b (APOEB)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26210	Standard PRS for asthma (AST)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26211	Enhanced PRS for asthma (AST)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26212	Standard PRS for atrial fibrillation (AF)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26213	Enhanced PRS for atrial fibrillation (AF)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26214	Standard PRS for bipolar disorder (BD)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26215	Enhanced PRS for bipolar disorder (BD)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26216	Standard PRS for body mass index (BMI)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26217	Enhanced PRS for body mass index (BMI)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26218	Standard PRS for bowel cancer (CRC)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26219	Enhanced PRS for bowel cancer (CRC)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26220	Standard PRS for breast cancer (BC)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26221	Enhanced PRS for breast cancer (BC)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26222	Enhanced PRS for calcium (CAL)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26223	Standard PRS for cardiovascular disease (CVD)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26224	Enhanced PRS for cardiovascular disease (CVD)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26225	Standard PRS for coeliac disease (CED)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26226	Enhanced PRS for coeliac disease (CED)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26227	Standard PRS for coronary artery disease (CAD)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26228	Enhanced PRS for coronary artery disease (CAD)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26229	Standard PRS for crohn's disease (CD)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26230	Enhanced PRS for crohn's disease (CD)	0	1	1	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26231	Enhanced PRS for docosahexaenoic acid (DOA)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26232	Standard PRS for epithelial ovarian cancer (EOC)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26233	Enhanced PRS for epithelial ovarian cancer (EOC)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26234	Standard PRS for estimated bone mineral density t-score (EBMDT)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26235	Enhanced PRS for estimated bone mineral density t-score (EBMDT)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26236	Enhanced PRS for estimated glomerular filtration rate (creatinine based) (EGCR)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26237	Enhanced PRS for estimated glomerular filtration rate (cystatin based) (EGCY)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26238	Standard PRS for glycated haemoglobin (HBA1C_DF)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26239	Enhanced PRS for glycated haemoglobin (HBA1C_DF)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26240	Standard PRS for height (HEIGHT)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26241	Enhanced PRS for height (HEIGHT)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26242	Standard PRS for high density lipoprotein cholesterol (HDL)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26243	Enhanced PRS for high density lipoprotein cholesterol (HDL)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26244	Standard PRS for hypertension (HT)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26245	Enhanced PRS for hypertension (HT)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26246	Standard PRS for intraocular pressure (IOP)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26247	Enhanced PRS for intraocular pressure (IOP)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26248	Standard PRS for ischaemic stroke (ISS)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26249	Enhanced PRS for ischaemic stroke (ISS)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26250	Standard PRS for low density lipoprotein cholesterol (LDL_SF)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26251	Enhanced PRS for low density lipoprotein cholesterol (LDL_SF)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26252	Standard PRS for melanoma (MEL)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26253	Enhanced PRS for melanoma (MEL)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26254	Standard PRS for multiple sclerosis (MS)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26255	Enhanced PRS for multiple sclerosis (MS)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26256	Enhanced PRS for omega-3 fatty acids (OTFA)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic risk score for the trait for every participant in the white, british, and unrelated UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26257	Enhanced PRS for omega-6 fatty acids (OSFA)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26258	Standard PRS for osteoporosis (OP)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26259	Enhanced PRS for osteoporosis (OP)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26260	Standard PRS for parkinson's disease (PD)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26261	Enhanced PRS for parkinson's disease (PD)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26262	Enhanced PRS for phosphatidylcholines (PDCL)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26263	Enhanced PRS for phosphoglycerides (PHG)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26264	Enhanced PRS for polyunsaturated fatty acids (PFA)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26265	Standard PRS for primary open angle glaucoma (POAG)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26266	Enhanced PRS for primary open angle glaucoma (POAG)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26267	Standard PRS for prostate cancer (PC)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26268	Enhanced PRS for prostate cancer (PC)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26269	Standard PRS for psoriasis (PSO)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26270	Enhanced PRS for psoriasis (PSO)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26271	Enhanced PRS for remnant cholesterol (Non-HDL, Non-LDL cholesterol) (RMNC)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26272	Enhanced PRS for resting heart rate (RHR)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26273	Standard PRS for rheumatoid arthritis (RA)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26274	Enhanced PRS for rheumatoid arthritis (RA)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26275	Standard PRS for schizophrenia (SCZ)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26276	Enhanced PRS for schizophrenia (SCZ)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26277	Enhanced PRS for sphingomyelins (SGM)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26278	Standard PRS for systemic lupus erythematosus (SLE)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26279	Enhanced PRS for systemic lupus erythematosus (SLE)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26280	Enhanced PRS for total cholesterol (TCH)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26281	Enhanced PRS for total fatty acids (TFA)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26282	Enhanced PRS for total triglycerides (TTG)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26283	Standard PRS for type 1 diabetes (T1D)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26284	Enhanced PRS for type 1 diabetes (T1D)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26285	Standard PRS for type 2 diabetes (T2D)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26286	Enhanced PRS for type 2 diabetes (T2D)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26287	Standard PRS for ulcerative colitis (UC)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26288	Enhanced PRS for ulcerative colitis (UC)	0	1	1	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26289	Standard PRS for venous thromboembolic disease (VTE)	0	1	0	31	0	0	3	0	0	0	relative risk	301	0	0	0	0	0	0	Standard PRS Release: Polygenic score for the trait for all UK Biobank participants. External GWAS training data only.	2022-03-30T00:00:00	2022-05-03T00:00:00	486133	486133	0	2	2	2
26290	Enhanced PRS for venous thromboembolic disease (VTE)	0	1	0	31	0	0	3	0	0	0	relative risk	302	0	0	0	0	0	0	Enhanced PRS Release: Polygenic score for the trait for every participant in the UK Biobank testing set.	2022-03-30T00:00:00	2022-05-03T00:00:00	104594	104594	0	2	2	2
26300	Arterial spin labelling brain images - NIFTI	0	2	0	41	0	20	3	1	0	0		119	0	2	2	3	0	0	Arterial Spin Labelling images in NIFTI format. The source DICOM image was acquired using the following parameters: <ul> <li>Resolution: 3.4x3.4x4.5 mm</li> <li>Field-of-view: 64x48x32 matrix</li> <li>Scan duration: 2 minutes</li> <li> Preparation: Multi-postlabelling delay pseudocontinuous arterial spin labelling, labelling duration 1800 ms, postlabelling delays 400, 800, 1200, 1600 and 2000 ms, labelling plane offset from the centre of the imaging volume 90 mm </li><li> Readout: 2-shot segmented 3D-GRASE, left-right phase encoding, refocussing flip angle 120 </li><li> Background suppression: pre-saturation and two inversion pulses (to null tissues with T1 = 700 ms and 1400 ms, 100 ms prior to excitation) </li><li> Volumes: one label/control pair per postlabelling delay plus one calibration (M0) volume without labelling or background suppression (effective TR 5000 ms). </li></ul> The average size of these NIFTI datasets is 75MB per participant.	2023-02-03T00:00:00	2000-01-01T00:00:00	5214	5214	0	3	2	3
26301	Quantitative susceptibility mapping images - NIFTI	0	2	0	41	0	20	3	1	0	0		109	0	2	2	3	0	0	Quantitative susceptibility mapping images (derived from swMRI data) in NIFTI format. The source swMRI DICOM image was acquired using the following parameters: <ul> <li> Resolution: 0.8x0.8x3 mm </li><li> Field-of-view: 256x288x48 matrix </li><li> Duration: 2.5 minutes </li><li> Two echos, TE=9.42,20 ms </li><li> 3D, axial, in-plane acceleration iPAT=2, partial Fourier = 7/8, prescan-normalise </li></ul> The average size of these NIFTI datasets is 25 MB per participant.	2023-02-03T00:00:00	2000-01-01T00:00:00	42048	46306	0	3	2	3
26302	Specific cognitive ability (AS)	0	2	0	31	0	0	3	1	0	0	score	504	0	2	2	3	0	0	Estimate of each persons cognitive ability when performing the picture vocabulary task. Value has been scaled to the range 0-1.	2023-01-16T00:00:00	2023-01-23T00:00:00	34911	38850	100	1	1	1
26306	Response delay interval	0	2	0	11	0	0	3	1	0	0	miliseconds	504	0	2	2	3	0	0	Estimates the basic visuomotor processing times of a participant (i.e. regardless of the actual cognitive difficulty of the trial).	2023-01-16T00:00:00	2023-01-23T00:00:00	34911	38850	110	1	1	1
26410	Index of Multiple Deprivation (England)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	The English Indices of Deprivation 2010 are measures of multiple deprivation at the small area level. The model of multiple deprivation which underpins the Indices of Deprivation 2010 is based on the idea of distinct domains of deprivation which can be recognised and measured separately. These domains are experienced by individuals living in an area. People may be counted in one or more of the domains, depending on the number of types of deprivation that they experience.<p> Each domain represents a specific form of deprivation experienced by people and each can be measured individually using a number of indicators. Seven distinct domains have been identified in the English Indices of Deprivation; Income Deprivation, Employment Deprivation, Health Deprivation and Disability, Education Skills and Training Deprivation, Barriers to Housing and Services, Living Environment Deprivation, and Crime. Individual domains can be used in isolation as measures of each specific form of deprivation. They can also be combined, using appropriate weights, into a single overall Index of Multiple Deprivation which can be used to rank every small area in England according to the deprivation experienced by the people living there. Along with two supplementary indices, Income Deprivation Affecting Children Index and Income Deprivation Affecting Older People Index, they form the English Indices of Deprivation. These statistics allow the most, and least, deprived areas of the country to be identified as well as providing information about the issues faced by people living in different parts of the country.	2018-05-02T00:00:00	2018-05-04T00:00:00	432612	432612	0	1	1	1
26411	Income score (England)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	This domain measures the proportion of the population in an area experiencing deprivation related to low income. A combined count of income deprived individuals per LSOA is calculated by summing the following five indicators: <ul> <li>Adults and children in Income Support families</li> <li>Adults and children in Income-Based Jobseeker's Allowance families</li> <li>Adults and children in Pension Credit (Guarantee) families</li> <li>Adults and children in Child Tax Credit families (who are not in receipt of Income Support, Income-Based Jobseeker's Allowance or Pension Credit) whose equivalised income (excluding housing benefits) is below 60 per cent of the median before housing costs</li> <li>Asylum seekers in England in receipt of subsistence support, accommodation support, or both.</li> </ul>	2018-05-02T00:00:00	2018-05-04T00:00:00	432612	432612	0	1	1	1
26412	Employment score (England)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	This domain measures employment deprivation in an area conceptualised as involuntary exclusion of the working age population from the labour market. A combined count of employment deprived individuals per LSOA is calculated by summing the following seven indicators: <ul> <li>Claimants of Jobseeker's Allowance (both Contributory and Income-Based) women aged 18-59 and men aged 18-64, averaged over 4 quarters</li> <li>Claimants of Incapacity Benefit women aged 18-59 and men aged 18-64, averaged over 4 quarters</li> <li>Claimants of Severe Disablement Allowance women aged 18-59 and men aged 18-64, averaged over 4 quarters</li> <li>Claimants of Employment Support Allowance women aged 18-59 and men aged 18-64</li> <li>Participants in New Deal for the 18-24s who are not in receipt of Jobseeker's Allowance, averaged over 4 quarters</li> <li>Participants in New Deal for 25+ who are not in receipt of Jobseeker's Allowance, averaged over 4 quarters</li> <li>Participants in New Deal for Lone Parents (after initial interview) aged over 18, averaged over 4 quarters.</li> </ul>	2018-05-02T00:00:00	2018-05-04T00:00:00	432612	432612	0	1	1	1
26413	Health score (England)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	This domain measures premature death and the impairment of quality of life by poor health. It considers both physical and mental health. The domain measures morbidity, disability and premature mortality but not aspects of behaviour or environment that may be predictive of future health deprivation. Four indicators are used to calculate this domain: <ul> <li>Years of Potential Life Lost - an age and sex standardised measure of premature death</li> <li>Comparative Illness and Disability Ratio - an age and sex standardised measure of morbidity and disability</li> <li>Measures of acute morbidity - an age and sex standardised rate of emergency admissions to hospital</li> <li>Proportion of adults under 60 suffering from mood or anxiety disorders - a modelled indicator for the proportion of adults suffering from mood and anxiety disorders.</li> </ul>	2018-05-02T00:00:00	2018-05-04T00:00:00	432612	432612	0	1	1	1
26414	Education score (England)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	This domain measures the extent of deprivation in terms of education, skills and training in an area. The indicators are structured into two sub-domains: one relating to children and young people and one relating to adult skills. These two sub-domains are designed to reflect the 'flow' and 'stock' of educational disadvantage within an area respectively. Seven indicators are used to calculate this domain: <ul> <li>Average points score of pupils taking English, Maths and Science Key Stage 2 exams</li> <li>Average points score of pupils taking English, Maths and Science Key Stage 3 exams</li> <li>Average capped points score of pupils taking Key Stage 4 (GCSE or equivalent) exams</li> <li>Proportion of young people not staying on in school or non-advanced education above age 16</li> <li>Secondary school absence rate - the proportion of authorised and unauthorised absences from secondary school</li> <li>Proportion of those aged under 21 not entering Higher Education.</li> <li>Proportion of adults aged 25-54 with no or low qualifications.</li> </ul>	2018-05-02T00:00:00	2018-05-04T00:00:00	432612	432612	0	1	1	1
26415	Housing score (England)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	This domain measures the physical and financial accessibility of housing and key local services. The indicators fall into two sub-domains: 'geographical barriers', which relate to the physical proximity of local services, and 'wider barriers' which includes issues relating to access to housing such as affordability. Seven indicators are combined to calculate this domain: <ul> <li>Household overcrowding - the proportion of households within an LSOA which are judged to have insufficient space to meet the household's needs</li> <li>Homelessness - the rate of acceptances for housing assistance under the homelessness provisions of the 1996 Housing Act (at local authority district level) </li> <li>Difficulty of access to owner-occupation (local authority district level) - proportion of households aged under 35 whose income means they are unable to afford to enter owner occupation</li> <li>Road distance to a GP surgery</li> <li>Road distance to a supermarket or convenience store</li> <li>Road distance to a primary school</li> <li>Road distance to a Post Office.</li> </ul>	2018-05-02T00:00:00	2018-05-04T00:00:00	432612	432612	0	1	1	1
26416	Crime score (England)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	This domain measures the rate of recorded crime in an area for four major crime types representing the risk of personal and material victimisation at a small area level. <ul> <li>Violence - number of reported violent crimes (19 reported crime types) per 1000 at risk population</li> <li>Burglary - number of reported burglaries (4 reported crime types) per 1000 at risk population</li> <li>Theft - number of reported thefts (5 reported crime types) per 1000 at risk population</li> <li>Criminal damage - number of reported crimes (11 reported crime types) per 1000 at risk population.</li> </ul>	2018-05-02T00:00:00	2018-05-04T00:00:00	432612	432612	0	1	1	1
26417	Living environment score (England)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	This domain measures the quality of individuals' immediate surroundings both within and outside the home. The indicators fall into two sub-domains: the 'indoors' living environment, which measures the quality of housing, and the 'outdoors' living environment which contains two measures relating to air quality and road traffic accidents. Four indicators are combined to calculate this domain: <ul> <li>Social and private housing in poor condition</li> <li>Houses with central heating</li> <li>Air quality</li> <li>Road traffic accidents.</li> </ul>	2018-05-02T00:00:00	2018-05-04T00:00:00	432612	432612	0	1	1	1
26418	Income score (Wales)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	The purpose of this domain is to capture the extent of deprivation relating to income at a small area level across Wales. It focuses on the proportion of people living in households with income below a defined threshold or claiming benefits relating to low incomes. The indicators used for the income domain were: <ul> <li>Adults & children in income support households</li> <li>Adults & children in pension credit households</li> <li>Adults & children in income-based job seekers allowance households</li> <li>Adults & children in tax credit (child tax credit and working tax credit) households below a low income threshold</li> <li>National Asylum Support Service (NASS) supported asylum seekers in Wales in receipt of subsistence only and accommodation support</li> </ul>	2018-05-02T00:00:00	2018-05-04T00:00:00	21182	21182	0	1	1	1
26419	Employment score (Wales)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	The purpose of this domain is to capture the extent of deprivation relating to employment at a small area level across Wales, and focuses on the proportion of working age people claiming out-of-work benefits. The indicators used for the employment domain were: <ul> <li>Claimants of unemployment-related benefits</li> <li>Claimants of incapacity benefit/severe disablement allowance</li> <li>Participants on New Deal for Young People and Intensive Activity Period (for New Deal 25+) not included in unemployment-related benefit counts</li> <li>Participants on New Deal for Lone Parents</li> </ul>	2018-05-02T00:00:00	2018-05-04T00:00:00	21182	21182	0	1	1	1
26420	Health score (Wales)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	The purpose of this domain is to capture the degree to which people are deprived of good health. The indicators used for the health domain were: <ul> <li>Limiting long-term illness (LLTI)</li> <li>Standardised all-cause death rate</li> <li>Standardised cancer incidence rate</li> <li>Singleton low birth weights</li> </ul>	2018-05-02T00:00:00	2018-05-04T00:00:00	21182	21182	0	1	1	1
26421	Education score (Wales)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	The purpose of this domain is to capture the extent of deprivation relating to education, training and skills at a small-area level across Wales. It is designed to reflect the 'stock' and 'flow' or educational disadvantage within an area, by capturing low attainment among children and young people and the lack of qualifications and skills in adults. The indicators used for the education domain were: <ul> <li>Key Stage 2, average point scores</li> <li>Key Stage 3, average point scores</li> <li>Key Stage 4, average point scores</li> <li>Primary school absence rates</li> <li>Secondary school absence rates</li> <li>Proportion of people not entering Higher Education aged 18-19</li> <li>Number of adults aged 25 - 59/64 with no qualifications</li> </ul>	2018-05-02T00:00:00	2018-05-04T00:00:00	21182	21182	0	1	1	1
26422	Access to services score (Wales)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	The purpose of this domain is to illustrate the deprivation as a result of a household's inability to access a range of services, considered necessary for day-to-day living. The access is by walking or using public bus services or both. The indicators used for the geographical access to services domain were: <ul> <li>Food shop</li> <li>GP surgery</li> <li>Primary school</li> <li>Post office</li> <li>Public library</li> <li>Leisure centre</li> <li>NHS dentist</li> <li>Secondary school</li> <li>Transport nodes</li> </ul>	2018-05-02T00:00:00	2018-05-04T00:00:00	21182	21182	0	1	1	1
26423	Housing score (Wales)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	The purpose of this domain is to capture deprivation though a lack of adequate housing. The indicators used for the housing domain were: <ul> <li>Lack of central heating</li> <li>Overcrowding (excluding all student households)</li> </ul>	2018-05-02T00:00:00	2018-05-04T00:00:00	21182	21182	0	1	1	1
26424	Physical environment score (Wales)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	The purpose of this domain is to measure environmental factors that may impact on quality of life in an area. Negative impacts on quality of life are judged to be a form of deprivation. Environmental deprivation is generally not correlated with social or economic deprivation in Wales. (ref: Walker et al 2003). This domain does not capture aspects of deprivation such as health inequalities (this is an objective of the Health domain). Data covering Wales is not available on actual impacts on quality of life; so factors were chosen that were judged to indicate an increased potential for reduced quality of life and had data available. The indicators used for the physical environment domain were: <ul> <li>Air Quality</li> <li>Air Emissions</li> <li>Flood risk</li> <li>Proximity to waste disposal and industrial sites</li> </ul>	2018-05-02T00:00:00	2018-05-04T00:00:00	21182	21182	0	1	1	1
26425	Community safety score (Wales)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	The purpose of this domain is to reflect where people are deprived of a safe community in which to live. Safety includes levels of household and personal crime and quality of experience in public places compatible with access to ordinary work, leisure and social relationships. The indicators used for the Community Safety domain were: <ul> <li>Police Force Recorded Crime</li> <li>Youth Offenders</li> <li>Adult Offenders</li> <li>Fire Incidence</li> </ul>	2018-05-02T00:00:00	2018-05-04T00:00:00	21182	21182	0	1	1	1
26426	Index of Multiple Deprivation (Wales)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	The Welsh Index of Multiple Deprivation 2008 is the official measure of deprivation for small areas in Wales. It was developed for the Welsh Assembly Government by the Assembly's Statistical Directorate and the Local Government Data Unit (Wales). <p> The WIMD 2008 is made up of eight separate domains (or kinds) of deprivation: income, employment, health, education, housing, environment, access to services, and community safety. <p> Each of them was based on a range of different indicators which meant that they were measured in different ways using different units. So before they could be combined the measurements had to be transformed to make them compatible. For example, if the height of something had been measured in metres and the weight in kilograms it would not make sense simply to add them together. <p> Income and employment were classed as the most important factors, and they were given the biggest weighting in the overall index. Although there is more to deprivation than poverty, not having enough money or a job is a big part of it.	2018-05-02T00:00:00	2018-05-04T00:00:00	21182	21182	0	1	1	1
26427	Index of Multiple Deprivation (Scotland)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	The Scottish Index of Multiple Deprivation (SIMD) 2009 identifies small area concentrations of multiple deprivation across Scotland in a consistent manner. The SIMD combines data from seven distinct domains or topic areas all of which are considered to be important contributors to deprivation levels. These domains have remained the same as in the previous version of the index, published in 2006, and the data used in compiling each one is the most appropriate and up to date that was available at the time of constructing the index. <p> The SIMD is a relative measure of deprivation that uses 6,505 data zones across Scotland as its unit of comparison. The rank applied to each of these data zones identifies each as being more or less deprived than all the others in the country. The rankings run from 1 being the most deprived to 6505 being the least deprived. Therefore the smaller the ranking the more deprived the data zone. As the SIMD is a relative measure it cannot show how much more deprived one data zone is than another, e.g. that a data zone ranked 5 is twice as deprived as a data zone ranked 10. In the same way the distance between each ranking can vary - so the gap between the data zones ranked 16 and 17 could be very small while the gap between those ranked 17 and 18 could be much bigger. <p> The SIMD can be used to identify the small areas with the highest concentrations of multiple deprivation in Scotland using either the overall index or the individual domains. The most commonly used cut off levels are 10%, 15% or 20% - although different cut offs may be required depending on individual policy or organisational focus.	2018-05-02T00:00:00	2018-07-06T00:00:00	35845	35845	0	1	1	1
26428	Income score (Scotland)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	Current Income Domain: <ul> <li>Adults receiving Guarantee Pension Credit</li> <li>Job Seekers Allowance Claimants</li> <li>Dependants of Job Seekers Allowance Claimants</li> <li>Adults (aged 16-59) receiving Income Support</li> <li>Dependants of Income Support Claimants</li> <li>Number of Adults and Children in Tax Credits Families on Low Incomes</li> </ul>	2018-05-02T00:00:00	2018-05-04T00:00:00	35845	35845	0	1	1	1
26429	Employment score (Scotland)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	Employment Domain: <ul> <li>Working Age Unemployment Claimant Count averaged over 12 months</li> <li>Working Age Incapacity Benefit recipients, men aged under 65 and women aged under 60</li> <li>Working Age Severe Disablement Allowance recipients</li> <li>Working Age Compulsory New Deal participants - New Deal for the under 25s and New Deal for the 25+ not included in the unemployment claimant count</li> </ul>	2018-05-02T00:00:00	2018-05-04T00:00:00	35845	35845	0	1	1	1
26430	Health score (Scotland)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	Health Domain: <ul> <li>Standardised Mortality Ratio</li> <li>Hospital Episodes Related to alcohol use</li> <li>Hospital Episodes Related to drug use</li> <li>Comparative Illness Factor</li> <li>Emergency admissions to hospital</li> <li>Proportion of population being prescribed drugs for anxiety, depression or psychosis</li> <li>Proportion of live singleton births of low birth weight</li> </ul>	2018-05-02T00:00:00	2018-07-06T00:00:00	35845	35845	0	1	1	1
26431	Education score (Scotland)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	Education Skills and Training Domain: <ul> <li>School pupil absences</li> <li>Pupil performance on SQA at stage 4</li> <li>Working age people with no qualifications</li> <li>17-21 year olds enrolling into higher education</li> <li>People aged 16-19 not in education, employment or training</li> </ul>	2018-05-02T00:00:00	2018-05-04T00:00:00	35845	35845	0	1	1	1
26432	Housing score (Scotland)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	Housing Domain: <ul> <li>Persons in households that are overcrowded</li> <li>Persons in households without central heating</li> </ul>	2018-05-02T00:00:00	2018-07-06T00:00:00	35845	35845	0	1	1	1
26433	Access to services score (Scotland)	0	0	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	Geographic Access Domain: <ul> <li>Average drive time to a primary school</li> <li>Average drive time to a secondary school</li> <li>Average drive time to a GP</li> <li>Average drive time to a post office</li> <li>Average drive time to shopping facilities</li> <li>Average drive time to a fuel station</li> <li>Public transport travel time to Shopping Facilities</li> <li>Public transport travel time to a GP</li> <li>Public transport travel time to a post office</li> </ul>	2018-05-02T00:00:00	2018-07-06T00:00:00	35845	35845	0	1	1	1
26434	Crime score (Scotland)	0	3	0	31	0	0	3	0	0	0		76	0	0	0	0	0	0	Crime Domain: <ul> <li>Recorded Crimes of Violence</li> <li>Recorded Domestic housebreaking</li> <li>Recorded Vandalism</li> <li>Recorded Drugs Offences</li> <li>Recorded Minor Assault</li> </ul>	2018-05-02T00:00:00	2018-05-04T00:00:00	33485	33485	0	1	1	1
26500	T2-FLAIR used (in addition to T1) to run FreeSurfer	0	2	0	21	11	0	3	1	0	0		110	7	2	2	3	0	0	Whether the T2-FLAIR was used or not (in addition to the T1) to run FreeSurfer	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26501	Mean intensity of 3rd-Ventricle (whole brain)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of 3rd-Ventricle in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26502	Mean intensity of 4th-Ventricle (whole brain)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of 4th-Ventricle in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26503	Mean intensity of 5th-Ventricle (whole brain)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of 5th-Ventricle in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26504	Mean intensity of Brain-Stem (whole brain)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of Brain-Stem in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26505	Mean intensity of CSF (whole brain)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of CSF in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26506	Mean intensity of WM-hypointensities (whole brain)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of WM-hypointensities in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26507	Mean intensity of non-WM-hypointensities (whole brain)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of non-WM-hypointensities in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26508	Mean intensity of Optic-Chiasm (whole brain)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of Optic-Chiasm in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26509	Mean intensity of CC-Posterior (whole brain)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of CC-Posterior in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26510	Mean intensity of CC-Mid-Posterior (whole brain)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of CC-Mid-Posterior in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26511	Mean intensity of CC-Central (whole brain)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of CC-Central in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26512	Mean intensity of CC-Mid-Anterior (whole brain)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of CC-Mid-Anterior in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26513	Mean intensity of CC-Anterior (whole brain)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of CC-Anterior in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26514	Volume of BrainSeg (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of BrainSeg in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26515	Volume of BrainSegNotVent (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of BrainSegNotVent in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26516	Volume of BrainSegNotVentSurf (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of BrainSegNotVentSurf in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26517	Volume of SubCortGray (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of SubCortGray in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26518	Volume of TotalGray (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of TotalGray in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26519	Volume of SupraTentorial (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of SupraTentorial in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26520	Volume of SupraTentorialNotVent (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of SupraTentorialNotVent in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26521	Volume of EstimatedTotalIntraCranial (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of EstimatedTotalIntraCranial in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26522	Volume of VentricleChoroid (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of VentricleChoroid in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26523	Volume of 3rd-Ventricle (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of 3rd-Ventricle in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26524	Volume of 4th-Ventricle (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of 4th-Ventricle in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26525	Volume of 5th-Ventricle (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of 5th-Ventricle in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26526	Volume of Brain-Stem (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Brain-Stem in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26527	Volume of CSF (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of CSF in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26528	Volume of WM-hypointensities (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of WM-hypointensities in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26529	Volume of non-WM-hypointensities (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of non-WM-hypointensities in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26530	Volume of Optic-Chiasm (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Optic-Chiasm in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26531	Volume of CC-Posterior (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of CC-Posterior in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26532	Volume of CC-Mid-Posterior (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of CC-Mid-Posterior in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26533	Volume of CC-Central (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of CC-Central in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26534	Volume of CC-Mid-Anterior (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of CC-Mid-Anterior in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26535	Volume of CC-Anterior (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of CC-Anterior in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26536	Volume-ratio of BrainSegVol-to-eTIV (whole brain)	0	2	0	31	0	0	3	1	0	0	ratio	190	0	2	2	3	0	0	Volume-ratio of BrainSegVol-to-eTIV in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26537	Volume-ratio of MaskVol-to-eTIV (whole brain)	0	2	0	31	0	0	3	1	0	0	ratio	190	0	2	2	3	0	0	Volume-ratio of MaskVol-to-eTIV in the whole brain generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26538	Mean intensity of Lateral-Ventricle (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of Lateral-Ventricle in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26539	Mean intensity of Inf-Lat-Vent (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of Inf-Lat-Vent in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26540	Mean intensity of Cerebellum-White-Matter (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of Cerebellum-White-Matter in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26541	Mean intensity of Cerebellum-Cortex (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of Cerebellum-Cortex in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26542	Mean intensity of Thalamus-Proper (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of Thalamus-Proper in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46923	51609	0	1	1	1
26543	Mean intensity of Caudate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of Caudate in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26544	Mean intensity of Putamen (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of Putamen in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26545	Mean intensity of Pallidum (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of Pallidum in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26546	Mean intensity of Hippocampus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of Hippocampus in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26547	Mean intensity of Amygdala (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of Amygdala in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26548	Mean intensity of Accumbens-area (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of Accumbens-area in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26549	Mean intensity of VentralDC (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of VentralDC in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26550	Mean intensity of vessel (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of vessel in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26551	Mean intensity of choroid-plexus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of choroid-plexus in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26552	Volume of Cortex (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Cortex in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26553	Volume of CerebralWhiteMatter (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of CerebralWhiteMatter in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26554	Volume of Lateral-Ventricle (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Lateral-Ventricle in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26555	Volume of Inf-Lat-Vent (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Inf-Lat-Vent in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26556	Volume of Cerebellum-White-Matter (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Cerebellum-White-Matter in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26557	Volume of Cerebellum-Cortex (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Cerebellum-Cortex in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26558	Volume of Thalamus-Proper (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Thalamus-Proper in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46923	51609	0	1	1	1
26559	Volume of Caudate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Caudate in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26560	Volume of Putamen (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Putamen in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26561	Volume of Pallidum (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Pallidum in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26562	Volume of Hippocampus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Hippocampus in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26563	Volume of Amygdala (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Amygdala in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26564	Volume of Accumbens-area (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Accumbens-area in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26565	Volume of VentralDC (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of VentralDC in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26566	Volume of vessel (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of vessel in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26567	Volume of choroid-plexus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of choroid-plexus in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26568	Number of HolesBeforeFixing (left hemisphere)	0	2	0	11	0	0	3	1	0	0	count	190	0	2	2	3	0	0	Number of HolesBeforeFixing in the left hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26569	Mean intensity of Lateral-Ventricle (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of Lateral-Ventricle in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26570	Mean intensity of Inf-Lat-Vent (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of Inf-Lat-Vent in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26571	Mean intensity of Cerebellum-White-Matter (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of Cerebellum-White-Matter in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26572	Mean intensity of Cerebellum-Cortex (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of Cerebellum-Cortex in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26573	Mean intensity of Thalamus-Proper (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of Thalamus-Proper in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46923	51609	0	1	1	1
26574	Mean intensity of Caudate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of Caudate in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26575	Mean intensity of Putamen (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of Putamen in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26576	Mean intensity of Pallidum (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of Pallidum in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26577	Mean intensity of Hippocampus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of Hippocampus in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26578	Mean intensity of Amygdala (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of Amygdala in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26579	Mean intensity of Accumbens-area (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of Accumbens-area in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26580	Mean intensity of VentralDC (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of VentralDC in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26581	Mean intensity of vessel (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of vessel in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26582	Mean intensity of choroid-plexus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	190	0	2	2	3	0	0	Mean intensity of choroid-plexus in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26583	Volume of Cortex (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Cortex in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26584	Volume of CerebralWhiteMatter (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of CerebralWhiteMatter in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26585	Volume of Lateral-Ventricle (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Lateral-Ventricle in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26586	Volume of Inf-Lat-Vent (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Inf-Lat-Vent in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26587	Volume of Cerebellum-White-Matter (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Cerebellum-White-Matter in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26588	Volume of Cerebellum-Cortex (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Cerebellum-Cortex in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26589	Volume of Thalamus-Proper (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Thalamus-Proper in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46923	51609	0	1	1	1
26590	Volume of Caudate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Caudate in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26591	Volume of Putamen (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Putamen in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26592	Volume of Pallidum (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Pallidum in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26593	Volume of Hippocampus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Hippocampus in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26594	Volume of Amygdala (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Amygdala in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26595	Volume of Accumbens-area (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of Accumbens-area in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26596	Volume of VentralDC (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of VentralDC in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26597	Volume of vessel (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of vessel in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26598	Volume of choroid-plexus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	190	0	2	2	3	0	0	Volume of choroid-plexus in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26599	Number of HolesBeforeFixing (right hemisphere)	0	2	0	11	0	0	3	1	0	0	count	190	0	2	2	3	0	0	Number of HolesBeforeFixing in the right hemisphere generated by subcortical volumetric segmentation (aseg)	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26600	Volume of Lateral-nucleus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Lateral-nucleus in the left hemisphere generated by subcortical volumetric sub-segmentation of the Amygdala Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26601	Volume of Basal-nucleus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Basal-nucleus in the left hemisphere generated by subcortical volumetric sub-segmentation of the Amygdala Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26602	Volume of Accessory-Basal-nucleus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Accessory-Basal-nucleus in the left hemisphere generated by subcortical volumetric sub-segmentation of the Amygdala Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26603	Volume of Anterior-amygdaloid-area-AAA (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Anterior-amygdaloid-area-AAA in the left hemisphere generated by subcortical volumetric sub-segmentation of the Amygdala Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26604	Volume of Central-nucleus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Central-nucleus in the left hemisphere generated by subcortical volumetric sub-segmentation of the Amygdala Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26605	Volume of Medial-nucleus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Medial-nucleus in the left hemisphere generated by subcortical volumetric sub-segmentation of the Amygdala Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26606	Volume of Cortical-nucleus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Cortical-nucleus in the left hemisphere generated by subcortical volumetric sub-segmentation of the Amygdala Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26607	Volume of Corticoamygdaloid-transitio (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Corticoamygdaloid-transitio in the left hemisphere generated by subcortical volumetric sub-segmentation of the Amygdala Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26608	Volume of Paralaminar-nucleus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Paralaminar-nucleus in the left hemisphere generated by subcortical volumetric sub-segmentation of the Amygdala Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26609	Volume of Whole-amygdala (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Whole-amygdala in the left hemisphere generated by subcortical volumetric sub-segmentation of the Amygdala Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26610	Volume of Lateral-nucleus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Lateral-nucleus in the right hemisphere generated by subcortical volumetric sub-segmentation of the Amygdala Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26611	Volume of Basal-nucleus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Basal-nucleus in the right hemisphere generated by subcortical volumetric sub-segmentation of the Amygdala Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26612	Volume of Accessory-Basal-nucleus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Accessory-Basal-nucleus in the right hemisphere generated by subcortical volumetric sub-segmentation of the Amygdala Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26613	Volume of Anterior-amygdaloid-area-AAA (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Anterior-amygdaloid-area-AAA in the right hemisphere generated by subcortical volumetric sub-segmentation of the Amygdala Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26614	Volume of Central-nucleus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Central-nucleus in the right hemisphere generated by subcortical volumetric sub-segmentation of the Amygdala Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26615	Volume of Medial-nucleus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Medial-nucleus in the right hemisphere generated by subcortical volumetric sub-segmentation of the Amygdala Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26616	Volume of Cortical-nucleus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Cortical-nucleus in the right hemisphere generated by subcortical volumetric sub-segmentation of the Amygdala Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26617	Volume of Corticoamygdaloid-transitio (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Corticoamygdaloid-transitio in the right hemisphere generated by subcortical volumetric sub-segmentation of the Amygdala Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26618	Volume of Paralaminar-nucleus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Paralaminar-nucleus in the right hemisphere generated by subcortical volumetric sub-segmentation of the Amygdala Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26619	Volume of Whole-amygdala (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Whole-amygdala in the right hemisphere generated by subcortical volumetric sub-segmentation of the Amygdala Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26620	Volume of Hippocampal-tail (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Hippocampal-tail in the left hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26621	Volume of subiculum-body (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of subiculum-body in the left hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26622	Volume of CA1-body (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of CA1-body in the left hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26623	Volume of subiculum-head (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of subiculum-head in the left hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26624	Volume of hippocampal-fissure (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of hippocampal-fissure in the left hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26625	Volume of presubiculum-head (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of presubiculum-head in the left hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26626	Volume of CA1-head (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of CA1-head in the left hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26627	Volume of presubiculum-body (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of presubiculum-body in the left hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26628	Volume of parasubiculum (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of parasubiculum in the left hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26629	Volume of molecular-layer-HP-head (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of molecular-layer-HP-head in the left hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26630	Volume of molecular-layer-HP-body (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of molecular-layer-HP-body in the left hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26631	Volume of GC-ML-DG-head (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of GC-ML-DG-head in the left hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26632	Volume of CA3-body (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of CA3-body in the left hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26633	Volume of GC-ML-DG-body (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of GC-ML-DG-body in the left hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26634	Volume of CA4-head (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of CA4-head in the left hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26635	Volume of CA4-body (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of CA4-body in the left hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26636	Volume of fimbria (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of fimbria in the left hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26637	Volume of CA3-head (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of CA3-head in the left hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26638	Volume of HATA (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of HATA in the left hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26639	Volume of Whole-hippocampal-body (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Whole-hippocampal-body in the left hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26640	Volume of Whole-hippocampal-head (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Whole-hippocampal-head in the left hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26641	Volume of Whole-hippocampus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Whole-hippocampus in the left hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26642	Volume of Hippocampal-tail (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Hippocampal-tail in the right hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26643	Volume of subiculum-body (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of subiculum-body in the right hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26644	Volume of CA1-body (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of CA1-body in the right hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26645	Volume of subiculum-head (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of subiculum-head in the right hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26646	Volume of hippocampal-fissure (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of hippocampal-fissure in the right hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26647	Volume of presubiculum-head (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of presubiculum-head in the right hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26648	Volume of CA1-head (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of CA1-head in the right hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26649	Volume of presubiculum-body (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of presubiculum-body in the right hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26650	Volume of parasubiculum (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of parasubiculum in the right hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26651	Volume of molecular-layer-HP-head (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of molecular-layer-HP-head in the right hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26652	Volume of molecular-layer-HP-body (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of molecular-layer-HP-body in the right hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26653	Volume of GC-ML-DG-head (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of GC-ML-DG-head in the right hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26654	Volume of CA3-body (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of CA3-body in the right hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26655	Volume of GC-ML-DG-body (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of GC-ML-DG-body in the right hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26656	Volume of CA4-head (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of CA4-head in the right hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26657	Volume of CA4-body (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of CA4-body in the right hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26658	Volume of fimbria (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of fimbria in the right hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26659	Volume of CA3-head (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of CA3-head in the right hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26660	Volume of HATA (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of HATA in the right hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26661	Volume of Whole-hippocampal-body (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Whole-hippocampal-body in the right hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26662	Volume of Whole-hippocampal-head (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Whole-hippocampal-head in the right hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26663	Volume of Whole-hippocampus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Whole-hippocampus in the right hemisphere generated by subcortical volumetric sub-segmentation of the Hippocampal Subfields	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26664	Volume of MGN (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of MGN in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26665	Volume of LGN (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of LGN in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26666	Volume of PuI (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of PuI in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26667	Volume of PuM (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of PuM in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26668	Volume of L-Sg (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of L-Sg in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26669	Volume of VPL (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of VPL in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26670	Volume of CM (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of CM in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26671	Volume of VLa (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of VLa in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26672	Volume of PuA (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of PuA in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26673	Volume of MDm (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of MDm in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26674	Volume of Pf (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Pf in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26675	Volume of VAmc (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of VAmc in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26676	Volume of MDl (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of MDl in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26677	Volume of CeM (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of CeM in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26678	Volume of VA (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of VA in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26679	Volume of MV(Re) (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of MV(Re) in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26680	Volume of VM (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of VM in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26681	Volume of CL (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of CL in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26682	Volume of PuL (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of PuL in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26683	Volume of Pt (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Pt in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26684	Volume of AV (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of AV in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26685	Volume of Pc (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Pc in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26686	Volume of VLp (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of VLp in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26687	Volume of LP (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of LP in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26688	Volume of LGN (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of LGN in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26689	Volume of MGN (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of MGN in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26690	Volume of PuI (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of PuI in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26691	Volume of PuM (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of PuM in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26692	Volume of L-Sg (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of L-Sg in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26693	Volume of VPL (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of VPL in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26694	Volume of CM (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of CM in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26695	Volume of VLa (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of VLa in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26696	Volume of PuA (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of PuA in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26697	Volume of MDm (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of MDm in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26698	Volume of Pf (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Pf in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26699	Volume of VAmc (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of VAmc in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26700	Volume of MDl (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of MDl in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26701	Volume of VA (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of VA in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26702	Volume of MV(Re) (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of MV(Re) in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26703	Volume of CeM (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of CeM in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26704	Volume of VM (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of VM in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26705	Volume of PuL (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of PuL in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26706	Volume of CL (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of CL in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26707	Volume of VLp (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of VLp in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26708	Volume of Pc (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Pc in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26709	Volume of Pt (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Pt in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26710	Volume of AV (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of AV in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26711	Volume of LP (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of LP in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26712	Volume of LD (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of LD in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26713	Volume of LD (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of LD in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26714	Volume of Whole-thalamus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Whole-thalamus in the left hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26715	Volume of Whole-thalamus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Whole-thalamus in the right hemisphere generated by subcortical volumetric sub-segmentation of the Thalamic Nuclei	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26716	Volume of Medulla (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Medulla in the whole brain generated by subcortical volumetric sub-segmentation of the Brainstem	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26717	Volume of Pons (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Pons in the whole brain generated by subcortical volumetric sub-segmentation of the Brainstem	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26718	Volume of SCP (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of SCP in the whole brain generated by subcortical volumetric sub-segmentation of the Brainstem	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26719	Volume of Midbrain (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Midbrain in the whole brain generated by subcortical volumetric sub-segmentation of the Brainstem	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26720	Volume of Whole-brainstem (whole brain)	0	2	0	31	0	0	3	1	0	0	mm3	191	0	2	2	3	0	0	Volume of Whole-brainstem in the whole brain generated by subcortical volumetric sub-segmentation of the Brainstem	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26721	Area of TotalSurface (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of TotalSurface in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26722	Area of bankssts (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of bankssts in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26723	Area of caudalanteriorcingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of caudalanteriorcingulate in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26724	Area of caudalmiddlefrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of caudalmiddlefrontal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26725	Area of cuneus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of cuneus in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26726	Area of entorhinal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of entorhinal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26727	Area of fusiform (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of fusiform in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26728	Area of inferiorparietal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of inferiorparietal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26729	Area of inferiortemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of inferiortemporal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26730	Area of isthmuscingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of isthmuscingulate in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26731	Area of lateraloccipital (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of lateraloccipital in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26732	Area of lateralorbitofrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of lateralorbitofrontal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26733	Area of lingual (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of lingual in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26734	Area of medialorbitofrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of medialorbitofrontal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26735	Area of middletemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of middletemporal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26736	Area of parahippocampal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of parahippocampal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26737	Area of paracentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of paracentral in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26738	Area of parsopercularis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of parsopercularis in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26739	Area of parsorbitalis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of parsorbitalis in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26740	Area of parstriangularis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of parstriangularis in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26741	Area of pericalcarine (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of pericalcarine in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26742	Area of postcentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of postcentral in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26743	Area of posteriorcingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of posteriorcingulate in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26744	Area of precentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of precentral in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26745	Area of precuneus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of precuneus in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26746	Area of rostralanteriorcingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of rostralanteriorcingulate in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26747	Area of rostralmiddlefrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of rostralmiddlefrontal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26748	Area of superiorfrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of superiorfrontal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26749	Area of superiorparietal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of superiorparietal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26750	Area of superiortemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of superiortemporal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26751	Area of supramarginal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of supramarginal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26752	Area of frontalpole (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of frontalpole in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26753	Area of transversetemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of transversetemporal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26754	Area of insula (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of insula in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26755	Mean thickness of GlobalMeanMean thickness (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of GlobalMeanMean thickness in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26756	Mean thickness of bankssts (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of bankssts in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26757	Mean thickness of caudalanteriorcingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of caudalanteriorcingulate in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26758	Mean thickness of caudalmiddlefrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of caudalmiddlefrontal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26759	Mean thickness of cuneus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of cuneus in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26760	Mean thickness of entorhinal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of entorhinal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26761	Mean thickness of fusiform (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of fusiform in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26762	Mean thickness of inferiorparietal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of inferiorparietal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26763	Mean thickness of inferiortemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of inferiortemporal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26764	Mean thickness of isthmuscingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of isthmuscingulate in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26765	Mean thickness of lateraloccipital (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of lateraloccipital in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26766	Mean thickness of lateralorbitofrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of lateralorbitofrontal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26767	Mean thickness of lingual (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of lingual in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26768	Mean thickness of medialorbitofrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of medialorbitofrontal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26769	Mean thickness of middletemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of middletemporal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26770	Mean thickness of parahippocampal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of parahippocampal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26771	Mean thickness of paracentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of paracentral in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26772	Mean thickness of parsopercularis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of parsopercularis in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26773	Mean thickness of parsorbitalis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of parsorbitalis in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26774	Mean thickness of parstriangularis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of parstriangularis in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26775	Mean thickness of pericalcarine (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of pericalcarine in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26776	Mean thickness of postcentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of postcentral in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26777	Mean thickness of posteriorcingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of posteriorcingulate in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26778	Mean thickness of precentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of precentral in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26779	Mean thickness of precuneus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of precuneus in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26780	Mean thickness of rostralanteriorcingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of rostralanteriorcingulate in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26781	Mean thickness of rostralmiddlefrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of rostralmiddlefrontal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26782	Mean thickness of superiorfrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of superiorfrontal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26783	Mean thickness of superiorparietal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of superiorparietal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26784	Mean thickness of superiortemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of superiortemporal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26785	Mean thickness of supramarginal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of supramarginal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26786	Mean thickness of frontalpole (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of frontalpole in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26787	Mean thickness of transversetemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of transversetemporal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26788	Mean thickness of insula (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of insula in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26789	Volume of bankssts (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of bankssts in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26790	Volume of caudalanteriorcingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of caudalanteriorcingulate in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26791	Volume of caudalmiddlefrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of caudalmiddlefrontal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26792	Volume of cuneus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of cuneus in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26793	Volume of entorhinal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of entorhinal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26794	Volume of fusiform (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of fusiform in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26795	Volume of inferiorparietal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of inferiorparietal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26796	Volume of inferiortemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of inferiortemporal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26797	Volume of isthmuscingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of isthmuscingulate in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26798	Volume of lateraloccipital (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of lateraloccipital in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26799	Volume of lateralorbitofrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of lateralorbitofrontal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26800	Volume of lingual (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of lingual in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26801	Volume of medialorbitofrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of medialorbitofrontal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26802	Volume of middletemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of middletemporal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26803	Volume of parahippocampal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of parahippocampal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26804	Volume of paracentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of paracentral in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26805	Volume of parsopercularis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of parsopercularis in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26806	Volume of parsorbitalis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of parsorbitalis in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26807	Volume of parstriangularis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of parstriangularis in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26808	Volume of pericalcarine (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of pericalcarine in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26809	Volume of postcentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of postcentral in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26810	Volume of posteriorcingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of posteriorcingulate in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26811	Volume of precentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of precentral in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26812	Volume of precuneus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of precuneus in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26813	Volume of rostralanteriorcingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of rostralanteriorcingulate in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26814	Volume of rostralmiddlefrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of rostralmiddlefrontal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26815	Volume of superiorfrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of superiorfrontal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26816	Volume of superiorparietal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of superiorparietal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26817	Volume of superiortemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of superiortemporal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26818	Volume of supramarginal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of supramarginal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26819	Volume of frontalpole (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of frontalpole in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26820	Volume of transversetemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of transversetemporal in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26821	Volume of insula (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of insula in the left hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26822	Area of TotalSurface (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of TotalSurface in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26823	Area of bankssts (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of bankssts in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26824	Area of caudalanteriorcingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of caudalanteriorcingulate in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26825	Area of caudalmiddlefrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of caudalmiddlefrontal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26826	Area of cuneus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of cuneus in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26827	Area of entorhinal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of entorhinal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26828	Area of fusiform (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of fusiform in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26829	Area of inferiorparietal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of inferiorparietal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26830	Area of inferiortemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of inferiortemporal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26831	Area of isthmuscingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of isthmuscingulate in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26832	Area of lateraloccipital (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of lateraloccipital in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26833	Area of lateralorbitofrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of lateralorbitofrontal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26834	Area of lingual (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of lingual in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26835	Area of medialorbitofrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of medialorbitofrontal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26836	Area of middletemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of middletemporal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26837	Area of parahippocampal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of parahippocampal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46923	51609	0	1	1	1
26838	Area of paracentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of paracentral in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26839	Area of parsopercularis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of parsopercularis in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26840	Area of parsorbitalis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of parsorbitalis in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26841	Area of parstriangularis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of parstriangularis in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26842	Area of pericalcarine (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of pericalcarine in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26843	Area of postcentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of postcentral in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26844	Area of posteriorcingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of posteriorcingulate in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26845	Area of precentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of precentral in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26846	Area of precuneus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of precuneus in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26847	Area of rostralanteriorcingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of rostralanteriorcingulate in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26848	Area of rostralmiddlefrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of rostralmiddlefrontal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26849	Area of superiorfrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of superiorfrontal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26850	Area of superiorparietal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of superiorparietal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26851	Area of superiortemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of superiortemporal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26852	Area of supramarginal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of supramarginal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26853	Area of frontalpole (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of frontalpole in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26854	Area of transversetemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of transversetemporal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26855	Area of insula (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	192	0	2	2	3	0	0	Area of insula in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26856	Mean thickness of GlobalMeanMean thickness (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of GlobalMeanMean thickness in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26857	Mean thickness of bankssts (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of bankssts in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26858	Mean thickness of caudalanteriorcingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of caudalanteriorcingulate in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26859	Mean thickness of caudalmiddlefrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of caudalmiddlefrontal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26860	Mean thickness of cuneus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of cuneus in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26861	Mean thickness of entorhinal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of entorhinal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26862	Mean thickness of fusiform (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of fusiform in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26863	Mean thickness of inferiorparietal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of inferiorparietal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26864	Mean thickness of inferiortemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of inferiortemporal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26865	Mean thickness of isthmuscingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of isthmuscingulate in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26866	Mean thickness of lateraloccipital (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of lateraloccipital in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26867	Mean thickness of lateralorbitofrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of lateralorbitofrontal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26868	Mean thickness of lingual (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of lingual in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26869	Mean thickness of medialorbitofrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of medialorbitofrontal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26870	Mean thickness of middletemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of middletemporal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26871	Mean thickness of parahippocampal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of parahippocampal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46923	51609	0	1	1	1
26872	Mean thickness of paracentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of paracentral in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26873	Mean thickness of parsopercularis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of parsopercularis in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26874	Mean thickness of parsorbitalis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of parsorbitalis in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26875	Mean thickness of parstriangularis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of parstriangularis in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26876	Mean thickness of pericalcarine (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of pericalcarine in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26877	Mean thickness of postcentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of postcentral in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26878	Mean thickness of posteriorcingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of posteriorcingulate in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26879	Mean thickness of precentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of precentral in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26880	Mean thickness of precuneus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of precuneus in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26881	Mean thickness of rostralanteriorcingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of rostralanteriorcingulate in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26882	Mean thickness of rostralmiddlefrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of rostralmiddlefrontal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26883	Mean thickness of superiorfrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of superiorfrontal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26884	Mean thickness of superiorparietal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of superiorparietal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26885	Mean thickness of superiortemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of superiortemporal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26886	Mean thickness of supramarginal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of supramarginal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26887	Mean thickness of frontalpole (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of frontalpole in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26888	Mean thickness of transversetemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of transversetemporal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26889	Mean thickness of insula (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	192	0	2	2	3	0	0	Mean thickness of insula in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26890	Volume of bankssts (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of bankssts in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26891	Volume of caudalanteriorcingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of caudalanteriorcingulate in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26892	Volume of caudalmiddlefrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of caudalmiddlefrontal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26893	Volume of cuneus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of cuneus in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26894	Volume of entorhinal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of entorhinal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26895	Volume of fusiform (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of fusiform in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26896	Volume of inferiorparietal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of inferiorparietal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26897	Volume of inferiortemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of inferiortemporal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26898	Volume of isthmuscingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of isthmuscingulate in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26899	Volume of lateraloccipital (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of lateraloccipital in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26900	Volume of lateralorbitofrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of lateralorbitofrontal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26901	Volume of lingual (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of lingual in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26902	Volume of medialorbitofrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of medialorbitofrontal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26903	Volume of middletemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of middletemporal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26904	Volume of parahippocampal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of parahippocampal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46923	51609	0	1	1	1
26905	Volume of paracentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of paracentral in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26906	Volume of parsopercularis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of parsopercularis in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26907	Volume of parsorbitalis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of parsorbitalis in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26908	Volume of parstriangularis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of parstriangularis in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26909	Volume of pericalcarine (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of pericalcarine in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26910	Volume of postcentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of postcentral in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26911	Volume of posteriorcingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of posteriorcingulate in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26912	Volume of precentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of precentral in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26913	Volume of precuneus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of precuneus in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26914	Volume of rostralanteriorcingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of rostralanteriorcingulate in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26915	Volume of rostralmiddlefrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of rostralmiddlefrontal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26916	Volume of superiorfrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of superiorfrontal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26917	Volume of superiorparietal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of superiorparietal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26918	Volume of superiortemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of superiortemporal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26919	Volume of supramarginal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of supramarginal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26920	Volume of frontalpole (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of frontalpole in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26921	Volume of transversetemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of transversetemporal in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26922	Volume of insula (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	192	0	2	2	3	0	0	Volume of insula in the right hemisphere generated by parcellation of the white surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26923	Area of TotalSurface (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of TotalSurface in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26924	Area of bankssts (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of bankssts in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26925	Area of caudalanteriorcingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of caudalanteriorcingulate in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26926	Area of caudalmiddlefrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of caudalmiddlefrontal in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26927	Area of cuneus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of cuneus in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26928	Area of entorhinal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of entorhinal in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26929	Area of fusiform (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of fusiform in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26930	Area of inferiorparietal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of inferiorparietal in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26931	Area of inferiortemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of inferiortemporal in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26932	Area of isthmuscingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of isthmuscingulate in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26933	Area of lateraloccipital (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of lateraloccipital in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26934	Area of lateralorbitofrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of lateralorbitofrontal in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26935	Area of lingual (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of lingual in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26936	Area of medialorbitofrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of medialorbitofrontal in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26937	Area of middletemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of middletemporal in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26938	Area of parahippocampal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of parahippocampal in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26939	Area of paracentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of paracentral in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26940	Area of parsopercularis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of parsopercularis in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26941	Area of parsorbitalis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of parsorbitalis in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26942	Area of parstriangularis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of parstriangularis in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26943	Area of pericalcarine (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of pericalcarine in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26944	Area of postcentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of postcentral in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26945	Area of posteriorcingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of posteriorcingulate in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26946	Area of precentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of precentral in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26947	Area of precuneus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of precuneus in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26948	Area of rostralanteriorcingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of rostralanteriorcingulate in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26949	Area of rostralmiddlefrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of rostralmiddlefrontal in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26950	Area of superiorfrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of superiorfrontal in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26951	Area of superiorparietal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of superiorparietal in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26952	Area of superiortemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of superiortemporal in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26953	Area of supramarginal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of supramarginal in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26954	Area of frontalpole (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of frontalpole in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26955	Area of transversetemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of transversetemporal in the left hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26956	Area of TotalSurface (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of TotalSurface in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26957	Area of bankssts (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of bankssts in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26958	Area of caudalanteriorcingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of caudalanteriorcingulate in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26959	Area of caudalmiddlefrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of caudalmiddlefrontal in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26960	Area of cuneus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of cuneus in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26961	Area of entorhinal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of entorhinal in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26962	Area of fusiform (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of fusiform in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26963	Area of inferiorparietal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of inferiorparietal in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26964	Area of inferiortemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of inferiortemporal in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26965	Area of isthmuscingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of isthmuscingulate in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26966	Area of lateraloccipital (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of lateraloccipital in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26967	Area of lateralorbitofrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of lateralorbitofrontal in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26968	Area of lingual (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of lingual in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26969	Area of medialorbitofrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of medialorbitofrontal in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26970	Area of middletemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of middletemporal in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26971	Area of parahippocampal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of parahippocampal in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46923	51609	0	1	1	1
26972	Area of paracentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of paracentral in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26973	Area of parsopercularis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of parsopercularis in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26974	Area of parsorbitalis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of parsorbitalis in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26975	Area of parstriangularis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of parstriangularis in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26976	Area of pericalcarine (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of pericalcarine in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26977	Area of postcentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of postcentral in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26978	Area of posteriorcingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of posteriorcingulate in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26979	Area of precentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of precentral in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26980	Area of precuneus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of precuneus in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26981	Area of rostralanteriorcingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of rostralanteriorcingulate in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26982	Area of rostralmiddlefrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of rostralmiddlefrontal in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26983	Area of superiorfrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of superiorfrontal in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26984	Area of superiorparietal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of superiorparietal in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26985	Area of superiortemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of superiortemporal in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26986	Area of supramarginal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of supramarginal in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26987	Area of frontalpole (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of frontalpole in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26988	Area of transversetemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	193	0	2	2	3	0	0	Area of transversetemporal in the right hemisphere generated by parcellation of the pial surface using Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26989	Grey-white contrast in unknown (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in unknown in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26990	Grey-white contrast in bankssts (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in bankssts in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26991	Grey-white contrast in caudalanteriorcingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in caudalanteriorcingulate in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26992	Grey-white contrast in caudalmiddlefrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in caudalmiddlefrontal in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26993	Grey-white contrast in cuneus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in cuneus in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26994	Grey-white contrast in entorhinal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in entorhinal in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26995	Grey-white contrast in fusiform (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in fusiform in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26996	Grey-white contrast in inferiorparietal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in inferiorparietal in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26997	Grey-white contrast in inferiortemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in inferiortemporal in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26998	Grey-white contrast in isthmuscingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in isthmuscingulate in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
26999	Grey-white contrast in lateraloccipital (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in lateraloccipital in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27000	Grey-white contrast in lateralorbitofrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in lateralorbitofrontal in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27001	Grey-white contrast in lingual (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in lingual in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27002	Grey-white contrast in medialorbitofrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in medialorbitofrontal in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27003	Grey-white contrast in middletemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in middletemporal in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27004	Grey-white contrast in parahippocampal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in parahippocampal in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27005	Grey-white contrast in paracentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in paracentral in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27006	Grey-white contrast in parsopercularis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in parsopercularis in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27007	Grey-white contrast in parsorbitalis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in parsorbitalis in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27008	Grey-white contrast in parstriangularis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in parstriangularis in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27009	Grey-white contrast in pericalcarine (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in pericalcarine in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27010	Grey-white contrast in postcentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in postcentral in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27011	Grey-white contrast in posteriorcingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in posteriorcingulate in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27012	Grey-white contrast in precentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in precentral in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27013	Grey-white contrast in precuneus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in precuneus in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27014	Grey-white contrast in rostralanteriorcingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in rostralanteriorcingulate in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27015	Grey-white contrast in rostralmiddlefrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in rostralmiddlefrontal in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27016	Grey-white contrast in superiorfrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in superiorfrontal in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27017	Grey-white contrast in superiorparietal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in superiorparietal in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27018	Grey-white contrast in superiortemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in superiortemporal in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27019	Grey-white contrast in supramarginal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in supramarginal in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27020	Grey-white contrast in frontalpole (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in frontalpole in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27021	Grey-white contrast in temporalpole (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in temporalpole in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27022	Grey-white contrast in transversetemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in transversetemporal in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27023	Grey-white contrast in insula (left hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in insula in the left hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27024	Grey-white contrast in unknown (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in unknown in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27025	Grey-white contrast in bankssts (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in bankssts in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27026	Grey-white contrast in caudalanteriorcingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in caudalanteriorcingulate in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27027	Grey-white contrast in caudalmiddlefrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in caudalmiddlefrontal in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27028	Grey-white contrast in cuneus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in cuneus in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27029	Grey-white contrast in entorhinal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in entorhinal in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27030	Grey-white contrast in fusiform (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in fusiform in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27031	Grey-white contrast in inferiorparietal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in inferiorparietal in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27032	Grey-white contrast in inferiortemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in inferiortemporal in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27033	Grey-white contrast in isthmuscingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in isthmuscingulate in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27034	Grey-white contrast in lateraloccipital (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in lateraloccipital in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27035	Grey-white contrast in lateralorbitofrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in lateralorbitofrontal in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27036	Grey-white contrast in lingual (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in lingual in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27037	Grey-white contrast in medialorbitofrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in medialorbitofrontal in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27038	Grey-white contrast in middletemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in middletemporal in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27039	Grey-white contrast in parahippocampal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in parahippocampal in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46923	51609	0	1	1	1
27040	Grey-white contrast in paracentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in paracentral in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27041	Grey-white contrast in parsopercularis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in parsopercularis in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27042	Grey-white contrast in parsorbitalis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in parsorbitalis in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27043	Grey-white contrast in parstriangularis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in parstriangularis in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27044	Grey-white contrast in pericalcarine (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in pericalcarine in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27045	Grey-white contrast in postcentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in postcentral in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27046	Grey-white contrast in posteriorcingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in posteriorcingulate in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27047	Grey-white contrast in precentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in precentral in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27048	Grey-white contrast in precuneus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in precuneus in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27049	Grey-white contrast in rostralanteriorcingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in rostralanteriorcingulate in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27050	Grey-white contrast in rostralmiddlefrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in rostralmiddlefrontal in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27051	Grey-white contrast in superiorfrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in superiorfrontal in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27052	Grey-white contrast in superiorparietal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in superiorparietal in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27053	Grey-white contrast in superiortemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in superiortemporal in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27054	Grey-white contrast in supramarginal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in supramarginal in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27055	Grey-white contrast in frontalpole (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in frontalpole in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27056	Grey-white contrast in temporalpole (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in temporalpole in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27057	Grey-white contrast in transversetemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in transversetemporal in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27058	Grey-white contrast in insula (right hemisphere)	0	2	0	31	0	0	3	1	0	0	AU	194	0	2	2	3	0	0	Grey-white contrast in insula in the right hemisphere calculated as a percentage of the mean gray-white matter intensity from Desikan-Killiany parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27059	Area of BA1 (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of BA1 in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27060	Area of BA2 (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of BA2 in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27061	Area of BA3a (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of BA3a in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27062	Area of BA3b (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of BA3b in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27063	Area of BA4a (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of BA4a in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27064	Area of BA4p (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of BA4p in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27065	Area of BA6 (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of BA6 in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27066	Area of BA44 (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of BA44 in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27067	Area of BA45 (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of BA45 in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27068	Area of V1 (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of V1 in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27069	Area of V2 (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of V2 in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27070	Area of MT (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of MT in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27071	Area of perirhinal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of perirhinal in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27072	Area of entorhinal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of entorhinal in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27073	Mean thickness of BA1 (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of BA1 in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27074	Mean thickness of BA2 (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of BA2 in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27075	Mean thickness of BA3a (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of BA3a in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27076	Mean thickness of BA3b (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of BA3b in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27077	Mean thickness of BA4a (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of BA4a in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27078	Mean thickness of BA4p (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of BA4p in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27079	Mean thickness of BA6 (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of BA6 in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27080	Mean thickness of BA44 (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of BA44 in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27081	Mean thickness of BA45 (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of BA45 in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27082	Mean thickness of V1 (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of V1 in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27083	Mean thickness of V2 (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of V2 in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27084	Mean thickness of MT (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of MT in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27085	Mean thickness of perirhinal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of perirhinal in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27086	Mean thickness of entorhinal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of entorhinal in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27087	Volume of BA1 (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of BA1 in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27088	Volume of BA2 (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of BA2 in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27089	Volume of BA3a (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of BA3a in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27090	Volume of BA3b (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of BA3b in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27091	Volume of BA4a (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of BA4a in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27092	Volume of BA4p (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of BA4p in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27093	Volume of BA6 (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of BA6 in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27094	Volume of BA44 (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of BA44 in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27095	Volume of BA45 (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of BA45 in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27096	Volume of V1 (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of V1 in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27097	Volume of V2 (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of V2 in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27098	Volume of MT (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of MT in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27099	Volume of perirhinal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of perirhinal in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27100	Volume of entorhinal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of entorhinal in the left hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27101	Area of BA1 (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of BA1 in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27102	Area of BA2 (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of BA2 in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27103	Area of BA3a (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of BA3a in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27104	Area of BA3b (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of BA3b in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27105	Area of BA4a (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of BA4a in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27106	Area of BA4p (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of BA4p in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27107	Area of BA6 (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of BA6 in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27108	Area of BA44 (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of BA44 in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27109	Area of BA45 (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of BA45 in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27110	Area of V1 (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of V1 in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27111	Area of V2 (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of V2 in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27112	Area of MT (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of MT in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27113	Area of perirhinal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of perirhinal in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27114	Area of entorhinal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	195	0	2	2	3	0	0	Area of entorhinal in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27115	Mean thickness of BA1 (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of BA1 in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27116	Mean thickness of BA2 (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of BA2 in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27117	Mean thickness of BA3a (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of BA3a in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27118	Mean thickness of BA3b (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of BA3b in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27119	Mean thickness of BA4a (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of BA4a in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27120	Mean thickness of BA4p (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of BA4p in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27121	Mean thickness of BA6 (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of BA6 in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27122	Mean thickness of BA44 (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of BA44 in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27123	Mean thickness of BA45 (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of BA45 in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27124	Mean thickness of V1 (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of V1 in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27125	Mean thickness of V2 (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of V2 in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27126	Mean thickness of MT (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of MT in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27127	Mean thickness of perirhinal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of perirhinal in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27128	Mean thickness of entorhinal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	195	0	2	2	3	0	0	Mean thickness of entorhinal in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27129	Volume of BA1 (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of BA1 in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27130	Volume of BA2 (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of BA2 in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27131	Volume of BA3a (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of BA3a in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27132	Volume of BA3b (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of BA3b in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27133	Volume of BA4a (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of BA4a in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27134	Volume of BA4p (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of BA4p in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27135	Volume of BA6 (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of BA6 in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27136	Volume of BA44 (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of BA44 in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27137	Volume of BA45 (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of BA45 in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27138	Volume of V1 (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of V1 in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27139	Volume of V2 (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of V2 in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27140	Volume of MT (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of MT in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27141	Volume of perirhinal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of perirhinal in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27142	Volume of entorhinal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	195	0	2	2	3	0	0	Volume of entorhinal in the right hemisphere generated by parcellation of the white surface using BA_exvivo parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27143	Area of caudalanteriorcingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of caudalanteriorcingulate in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27144	Area of caudalmiddlefrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of caudalmiddlefrontal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27145	Area of cuneus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of cuneus in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27146	Area of entorhinal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of entorhinal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27147	Area of fusiform (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of fusiform in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27148	Area of inferiorparietal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of inferiorparietal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27149	Area of inferiortemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of inferiortemporal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27150	Area of isthmuscingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of isthmuscingulate in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27151	Area of lateraloccipital (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of lateraloccipital in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27152	Area of lateralorbitofrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of lateralorbitofrontal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27153	Area of lingual (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of lingual in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27154	Area of medialorbitofrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of medialorbitofrontal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27155	Area of middletemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of middletemporal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27156	Area of parahippocampal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of parahippocampal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27157	Area of paracentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of paracentral in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27158	Area of parsopercularis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of parsopercularis in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27159	Area of parsorbitalis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of parsorbitalis in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27160	Area of parstriangularis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of parstriangularis in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27161	Area of pericalcarine (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of pericalcarine in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27162	Area of postcentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of postcentral in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27163	Area of posteriorcingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of posteriorcingulate in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27164	Area of precentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of precentral in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27165	Area of precuneus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of precuneus in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27166	Area of rostralanteriorcingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of rostralanteriorcingulate in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27167	Area of rostralmiddlefrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of rostralmiddlefrontal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27168	Area of superiorfrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of superiorfrontal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27169	Area of superiorparietal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of superiorparietal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27170	Area of superiortemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of superiortemporal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27171	Area of supramarginal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of supramarginal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27172	Area of transversetemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of transversetemporal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27173	Area of insula (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of insula in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27174	Mean thickness of caudalanteriorcingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of caudalanteriorcingulate in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27175	Mean thickness of caudalmiddlefrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of caudalmiddlefrontal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27176	Mean thickness of cuneus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of cuneus in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27177	Mean thickness of entorhinal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of entorhinal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27178	Mean thickness of fusiform (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of fusiform in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27179	Mean thickness of inferiorparietal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of inferiorparietal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27180	Mean thickness of inferiortemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of inferiortemporal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27181	Mean thickness of isthmuscingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of isthmuscingulate in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27182	Mean thickness of lateraloccipital (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of lateraloccipital in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27183	Mean thickness of lateralorbitofrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of lateralorbitofrontal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27184	Mean thickness of lingual (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of lingual in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27185	Mean thickness of medialorbitofrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of medialorbitofrontal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27186	Mean thickness of middletemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of middletemporal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27187	Mean thickness of parahippocampal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of parahippocampal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27188	Mean thickness of paracentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of paracentral in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27189	Mean thickness of parsopercularis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of parsopercularis in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27190	Mean thickness of parsorbitalis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of parsorbitalis in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27191	Mean thickness of parstriangularis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of parstriangularis in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27192	Mean thickness of pericalcarine (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of pericalcarine in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27193	Mean thickness of postcentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of postcentral in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27194	Mean thickness of posteriorcingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of posteriorcingulate in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27195	Mean thickness of precentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of precentral in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27196	Mean thickness of precuneus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of precuneus in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27197	Mean thickness of rostralanteriorcingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of rostralanteriorcingulate in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27198	Mean thickness of rostralmiddlefrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of rostralmiddlefrontal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27199	Mean thickness of superiorfrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of superiorfrontal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27200	Mean thickness of superiorparietal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of superiorparietal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27201	Mean thickness of superiortemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of superiortemporal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27202	Mean thickness of supramarginal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of supramarginal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27203	Mean thickness of transversetemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of transversetemporal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27204	Mean thickness of insula (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of insula in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27205	Volume of caudalanteriorcingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of caudalanteriorcingulate in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27206	Volume of caudalmiddlefrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of caudalmiddlefrontal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27207	Volume of cuneus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of cuneus in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27208	Volume of entorhinal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of entorhinal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27209	Volume of fusiform (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of fusiform in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27210	Volume of inferiorparietal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of inferiorparietal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27211	Volume of inferiortemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of inferiortemporal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27212	Volume of isthmuscingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of isthmuscingulate in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27213	Volume of lateraloccipital (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of lateraloccipital in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27214	Volume of lateralorbitofrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of lateralorbitofrontal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27215	Volume of lingual (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of lingual in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27216	Volume of medialorbitofrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of medialorbitofrontal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27217	Volume of middletemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of middletemporal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27218	Volume of parahippocampal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of parahippocampal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27219	Volume of paracentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of paracentral in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27220	Volume of parsopercularis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of parsopercularis in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27221	Volume of parsorbitalis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of parsorbitalis in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27222	Volume of parstriangularis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of parstriangularis in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27223	Volume of pericalcarine (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of pericalcarine in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27224	Volume of postcentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of postcentral in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27225	Volume of posteriorcingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of posteriorcingulate in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27226	Volume of precentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of precentral in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27227	Volume of precuneus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of precuneus in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27228	Volume of rostralanteriorcingulate (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of rostralanteriorcingulate in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27229	Volume of rostralmiddlefrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of rostralmiddlefrontal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27230	Volume of superiorfrontal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of superiorfrontal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27231	Volume of superiorparietal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of superiorparietal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27232	Volume of superiortemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of superiortemporal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27233	Volume of supramarginal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of supramarginal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27234	Volume of transversetemporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of transversetemporal in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27235	Volume of insula (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of insula in the left hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27236	Area of caudalanteriorcingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of caudalanteriorcingulate in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27237	Area of caudalmiddlefrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of caudalmiddlefrontal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27238	Area of cuneus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of cuneus in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27239	Area of entorhinal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of entorhinal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27240	Area of fusiform (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of fusiform in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27241	Area of inferiorparietal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of inferiorparietal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27242	Area of inferiortemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of inferiortemporal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27243	Area of isthmuscingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of isthmuscingulate in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27244	Area of lateraloccipital (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of lateraloccipital in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27245	Area of lateralorbitofrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of lateralorbitofrontal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27246	Area of lingual (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of lingual in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27247	Area of medialorbitofrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of medialorbitofrontal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27248	Area of middletemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of middletemporal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27249	Area of parahippocampal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of parahippocampal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46923	51609	0	1	1	1
27250	Area of paracentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of paracentral in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27251	Area of parsopercularis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of parsopercularis in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27252	Area of parsorbitalis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of parsorbitalis in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27253	Area of parstriangularis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of parstriangularis in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27254	Area of pericalcarine (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of pericalcarine in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27255	Area of postcentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of postcentral in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27256	Area of posteriorcingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of posteriorcingulate in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27257	Area of precentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of precentral in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27258	Area of precuneus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of precuneus in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27259	Area of rostralanteriorcingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of rostralanteriorcingulate in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27260	Area of rostralmiddlefrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of rostralmiddlefrontal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27261	Area of superiorfrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of superiorfrontal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27262	Area of superiorparietal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of superiorparietal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27263	Area of superiortemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of superiortemporal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27264	Area of supramarginal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of supramarginal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27265	Area of transversetemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of transversetemporal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27266	Area of insula (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	196	0	2	2	3	0	0	Area of insula in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27267	Mean thickness of caudalanteriorcingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of caudalanteriorcingulate in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27268	Mean thickness of caudalmiddlefrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of caudalmiddlefrontal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27269	Mean thickness of cuneus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of cuneus in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27270	Mean thickness of entorhinal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of entorhinal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27271	Mean thickness of fusiform (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of fusiform in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27272	Mean thickness of inferiorparietal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of inferiorparietal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27273	Mean thickness of inferiortemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of inferiortemporal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27274	Mean thickness of isthmuscingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of isthmuscingulate in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27275	Mean thickness of lateraloccipital (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of lateraloccipital in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27276	Mean thickness of lateralorbitofrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of lateralorbitofrontal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27277	Mean thickness of lingual (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of lingual in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27278	Mean thickness of medialorbitofrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of medialorbitofrontal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27279	Mean thickness of middletemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of middletemporal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27280	Mean thickness of parahippocampal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of parahippocampal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46923	51609	0	1	1	1
27281	Mean thickness of paracentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of paracentral in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27282	Mean thickness of parsopercularis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of parsopercularis in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27283	Mean thickness of parsorbitalis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of parsorbitalis in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27284	Mean thickness of parstriangularis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of parstriangularis in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27285	Mean thickness of pericalcarine (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of pericalcarine in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27286	Mean thickness of postcentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of postcentral in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27287	Mean thickness of posteriorcingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of posteriorcingulate in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27288	Mean thickness of precentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of precentral in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27289	Mean thickness of precuneus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of precuneus in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27290	Mean thickness of rostralanteriorcingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of rostralanteriorcingulate in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27291	Mean thickness of rostralmiddlefrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of rostralmiddlefrontal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27292	Mean thickness of superiorfrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of superiorfrontal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27293	Mean thickness of superiorparietal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of superiorparietal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27294	Mean thickness of superiortemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of superiortemporal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27295	Mean thickness of supramarginal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of supramarginal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27296	Mean thickness of transversetemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of transversetemporal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27297	Mean thickness of insula (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	196	0	2	2	3	0	0	Mean thickness of insula in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27298	Volume of caudalanteriorcingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of caudalanteriorcingulate in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27299	Volume of caudalmiddlefrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of caudalmiddlefrontal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27300	Volume of cuneus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of cuneus in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27301	Volume of entorhinal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of entorhinal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27302	Volume of fusiform (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of fusiform in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27303	Volume of inferiorparietal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of inferiorparietal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27304	Volume of inferiortemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of inferiortemporal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27305	Volume of isthmuscingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of isthmuscingulate in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27306	Volume of lateraloccipital (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of lateraloccipital in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27307	Volume of lateralorbitofrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of lateralorbitofrontal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27308	Volume of lingual (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of lingual in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27309	Volume of medialorbitofrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of medialorbitofrontal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27310	Volume of middletemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of middletemporal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27311	Volume of parahippocampal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of parahippocampal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46923	51609	0	1	1	1
27312	Volume of paracentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of paracentral in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27313	Volume of parsopercularis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of parsopercularis in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27314	Volume of parsorbitalis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of parsorbitalis in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27315	Volume of parstriangularis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of parstriangularis in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27316	Volume of pericalcarine (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of pericalcarine in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27317	Volume of postcentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of postcentral in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27318	Volume of posteriorcingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of posteriorcingulate in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27319	Volume of precentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of precentral in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27320	Volume of precuneus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of precuneus in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27321	Volume of rostralanteriorcingulate (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of rostralanteriorcingulate in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27322	Volume of rostralmiddlefrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of rostralmiddlefrontal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27323	Volume of superiorfrontal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of superiorfrontal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27324	Volume of superiorparietal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of superiorparietal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27325	Volume of superiortemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of superiortemporal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27326	Volume of supramarginal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of supramarginal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27327	Volume of transversetemporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of transversetemporal in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27328	Volume of insula (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	196	0	2	2	3	0	0	Volume of insula in the right hemisphere generated by parcellation of the white surface using DKT parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27329	Area of G+S-frontomargin (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G+S-frontomargin in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27330	Area of G+S-occipital-inf (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G+S-occipital-inf in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27331	Area of G+S-paracentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G+S-paracentral in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27332	Area of G+S-subcentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G+S-subcentral in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27333	Area of G+S-transv-frontopol (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G+S-transv-frontopol in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27334	Area of G+S-cingul-Ant (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G+S-cingul-Ant in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27335	Area of G+S-cingul-Mid-Ant (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G+S-cingul-Mid-Ant in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27336	Area of G+S-cingul-Mid-Post (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G+S-cingul-Mid-Post in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27337	Area of G-cingul-Post-dorsal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-cingul-Post-dorsal in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27338	Area of G-cingul-Post-ventral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-cingul-Post-ventral in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27339	Area of G-cuneus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-cuneus in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27340	Area of G-front-inf-Opercular (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-front-inf-Opercular in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27341	Area of G-front-inf-Orbital (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-front-inf-Orbital in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27342	Area of G-front-inf-Triangul (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-front-inf-Triangul in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27343	Area of G-front-middle (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-front-middle in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27344	Area of G-front-sup (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-front-sup in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27345	Area of G-Ins-lg+S-cent-ins (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-Ins-lg+S-cent-ins in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27346	Area of G-insular-short (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-insular-short in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27347	Area of G-occipital-middle (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-occipital-middle in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27348	Area of G-occipital-sup (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-occipital-sup in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27349	Area of G-oc-temp-lat-fusifor (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-oc-temp-lat-fusifor in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27350	Area of G-oc-temp-med-Lingual (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-oc-temp-med-Lingual in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27351	Area of G-oc-temp-med-Parahip (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-oc-temp-med-Parahip in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27352	Area of G-orbital (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-orbital in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27353	Area of G-pariet-inf-Angular (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-pariet-inf-Angular in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27354	Area of G-pariet-inf-Supramar (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-pariet-inf-Supramar in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27355	Area of G-parietal-sup (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-parietal-sup in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27356	Area of G-postcentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-postcentral in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27357	Area of G-precentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-precentral in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27358	Area of G-precuneus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-precuneus in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27359	Area of G-rectus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-rectus in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27360	Area of G-subcallosal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-subcallosal in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27361	Area of G-temp-sup-G-T-transv (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-temp-sup-G-T-transv in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27362	Area of G-temp-sup-Lateral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-temp-sup-Lateral in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27363	Area of G-temp-sup-Plan-polar (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-temp-sup-Plan-polar in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27364	Area of G-temp-sup-Plan-tempo (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-temp-sup-Plan-tempo in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27365	Area of G-temporal-inf (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-temporal-inf in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27366	Area of G-temporal-middle (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-temporal-middle in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27367	Area of Lat-Fis-ant-Horizont (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of Lat-Fis-ant-Horizont in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27368	Area of Lat-Fis-ant-Vertical (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of Lat-Fis-ant-Vertical in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51609	0	1	1	1
27369	Area of Lat-Fis-post (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of Lat-Fis-post in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27370	Area of Pole-occipital (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of Pole-occipital in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27371	Area of Pole-temporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of Pole-temporal in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27372	Area of S-calcarine (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-calcarine in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27373	Area of S-central (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-central in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27374	Area of S-cingul-Marginalis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-cingul-Marginalis in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27375	Area of S-circular-insula-ant (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-circular-insula-ant in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27376	Area of S-circular-insula-inf (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-circular-insula-inf in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27377	Area of S-circular-insula-sup (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-circular-insula-sup in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27378	Area of S-collat-transv-ant (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-collat-transv-ant in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27379	Area of S-collat-transv-post (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-collat-transv-post in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27380	Area of S-front-inf (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-front-inf in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27381	Area of S-front-middle (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-front-middle in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27382	Area of S-front-sup (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-front-sup in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27383	Area of S-interm-prim-Jensen (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-interm-prim-Jensen in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46901	51581	0	1	1	1
27384	Area of S-intrapariet+P-trans (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-intrapariet+P-trans in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27385	Area of S-oc-middle+Lunatus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-oc-middle+Lunatus in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27386	Area of S-oc-sup+transversal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-oc-sup+transversal in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27387	Area of S-occipital-ant (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-occipital-ant in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27388	Area of S-oc-temp-lat (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-oc-temp-lat in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27389	Area of S-oc-temp-med+Lingual (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-oc-temp-med+Lingual in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27390	Area of S-orbital-lateral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-orbital-lateral in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27391	Area of S-orbital-med-olfact (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-orbital-med-olfact in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27392	Area of S-orbital-H-Shaped (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-orbital-H-Shaped in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27393	Area of S-parieto-occipital (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-parieto-occipital in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27394	Area of S-pericallosal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-pericallosal in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27395	Area of S-postcentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-postcentral in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27396	Area of S-precentral-inf-part (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-precentral-inf-part in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27397	Area of S-precentral-sup-part (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-precentral-sup-part in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27398	Area of S-suborbital (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-suborbital in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27399	Area of S-subparietal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-subparietal in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27400	Area of S-temporal-inf (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-temporal-inf in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27401	Area of S-temporal-sup (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-temporal-sup in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27402	Area of S-temporal-transverse (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-temporal-transverse in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46922	51607	0	1	1	1
27403	Mean thickness of G+S-frontomargin (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G+S-frontomargin in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27404	Mean thickness of G+S-occipital-inf (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G+S-occipital-inf in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27405	Mean thickness of G+S-paracentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G+S-paracentral in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27406	Mean thickness of G+S-subcentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G+S-subcentral in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27407	Mean thickness of G+S-transv-frontopol (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G+S-transv-frontopol in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27408	Mean thickness of G+S-cingul-Ant (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G+S-cingul-Ant in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27409	Mean thickness of G+S-cingul-Mid-Ant (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G+S-cingul-Mid-Ant in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27410	Mean thickness of G+S-cingul-Mid-Post (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G+S-cingul-Mid-Post in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27411	Mean thickness of G-cingul-Post-dorsal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-cingul-Post-dorsal in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27412	Mean thickness of G-cingul-Post-ventral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-cingul-Post-ventral in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27413	Mean thickness of G-cuneus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-cuneus in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27414	Mean thickness of G-front-inf-Opercular (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-front-inf-Opercular in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27415	Mean thickness of G-front-inf-Orbital (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-front-inf-Orbital in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27416	Mean thickness of G-front-inf-Triangul (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-front-inf-Triangul in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27417	Mean thickness of G-front-middle (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-front-middle in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27418	Mean thickness of G-front-sup (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-front-sup in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27419	Mean thickness of G-Ins-lg+S-cent-ins (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-Ins-lg+S-cent-ins in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27420	Mean thickness of G-insular-short (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-insular-short in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27421	Mean thickness of G-occipital-middle (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-occipital-middle in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27422	Mean thickness of G-occipital-sup (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-occipital-sup in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27423	Mean thickness of G-oc-temp-lat-fusifor (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-oc-temp-lat-fusifor in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27424	Mean thickness of G-oc-temp-med-Lingual (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-oc-temp-med-Lingual in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27425	Mean thickness of G-oc-temp-med-Parahip (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-oc-temp-med-Parahip in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27426	Mean thickness of G-orbital (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-orbital in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27427	Mean thickness of G-pariet-inf-Angular (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-pariet-inf-Angular in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27428	Mean thickness of G-pariet-inf-Supramar (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-pariet-inf-Supramar in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27429	Mean thickness of G-parietal-sup (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-parietal-sup in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27430	Mean thickness of G-postcentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-postcentral in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27431	Mean thickness of G-precentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-precentral in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27432	Mean thickness of G-precuneus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-precuneus in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27433	Mean thickness of G-rectus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-rectus in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27434	Mean thickness of G-subcallosal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-subcallosal in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27435	Mean thickness of G-temp-sup-G-T-transv (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-temp-sup-G-T-transv in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27436	Mean thickness of G-temp-sup-Lateral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-temp-sup-Lateral in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27437	Mean thickness of G-temp-sup-Plan-polar (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-temp-sup-Plan-polar in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27438	Mean thickness of G-temp-sup-Plan-tempo (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-temp-sup-Plan-tempo in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27439	Mean thickness of G-temporal-inf (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-temporal-inf in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27440	Mean thickness of G-temporal-middle (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-temporal-middle in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27441	Mean thickness of Lat-Fis-ant-Horizont (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of Lat-Fis-ant-Horizont in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27442	Mean thickness of Lat-Fis-ant-Vertical (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of Lat-Fis-ant-Vertical in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51609	0	1	1	1
27443	Mean thickness of Lat-Fis-post (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of Lat-Fis-post in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27444	Mean thickness of Pole-occipital (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of Pole-occipital in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27445	Mean thickness of Pole-temporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of Pole-temporal in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27446	Mean thickness of S-calcarine (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-calcarine in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27447	Mean thickness of S-central (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-central in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27448	Mean thickness of S-cingul-Marginalis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-cingul-Marginalis in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27449	Mean thickness of S-circular-insula-ant (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-circular-insula-ant in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27450	Mean thickness of S-circular-insula-inf (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-circular-insula-inf in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27451	Mean thickness of S-circular-insula-sup (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-circular-insula-sup in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27452	Mean thickness of S-collat-transv-ant (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-collat-transv-ant in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27453	Mean thickness of S-collat-transv-post (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-collat-transv-post in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27454	Mean thickness of S-front-inf (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-front-inf in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27455	Mean thickness of S-front-middle (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-front-middle in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27456	Mean thickness of S-front-sup (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-front-sup in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27457	Mean thickness of S-interm-prim-Jensen (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-interm-prim-Jensen in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46901	51581	0	1	1	1
27458	Mean thickness of S-intrapariet+P-trans (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-intrapariet+P-trans in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27459	Mean thickness of S-oc-middle+Lunatus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-oc-middle+Lunatus in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27460	Mean thickness of S-oc-sup+transversal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-oc-sup+transversal in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27461	Mean thickness of S-occipital-ant (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-occipital-ant in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27462	Mean thickness of S-oc-temp-lat (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-oc-temp-lat in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27463	Mean thickness of S-oc-temp-med+Lingual (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-oc-temp-med+Lingual in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27464	Mean thickness of S-orbital-lateral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-orbital-lateral in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27465	Mean thickness of S-orbital-med-olfact (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-orbital-med-olfact in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27466	Mean thickness of S-orbital-H-Shaped (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-orbital-H-Shaped in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27467	Mean thickness of S-parieto-occipital (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-parieto-occipital in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27468	Mean thickness of S-pericallosal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-pericallosal in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27469	Mean thickness of S-postcentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-postcentral in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27470	Mean thickness of S-precentral-inf-part (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-precentral-inf-part in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27471	Mean thickness of S-precentral-sup-part (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-precentral-sup-part in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27472	Mean thickness of S-suborbital (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-suborbital in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27473	Mean thickness of S-subparietal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-subparietal in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27474	Mean thickness of S-temporal-inf (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-temporal-inf in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27475	Mean thickness of S-temporal-sup (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-temporal-sup in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27476	Mean thickness of S-temporal-transverse (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-temporal-transverse in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46922	51607	0	1	1	1
27477	Volume of G+S-frontomargin (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G+S-frontomargin in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27478	Volume of G+S-occipital-inf (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G+S-occipital-inf in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27479	Volume of G+S-paracentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G+S-paracentral in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27480	Volume of G+S-subcentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G+S-subcentral in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27481	Volume of G+S-transv-frontopol (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G+S-transv-frontopol in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27482	Volume of G+S-cingul-Ant (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G+S-cingul-Ant in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27483	Volume of G+S-cingul-Mid-Ant (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G+S-cingul-Mid-Ant in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27484	Volume of G+S-cingul-Mid-Post (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G+S-cingul-Mid-Post in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27485	Volume of G-cingul-Post-dorsal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-cingul-Post-dorsal in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27486	Volume of G-cingul-Post-ventral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-cingul-Post-ventral in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27487	Volume of G-cuneus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-cuneus in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27488	Volume of G-front-inf-Opercular (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-front-inf-Opercular in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27489	Volume of G-front-inf-Orbital (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-front-inf-Orbital in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27490	Volume of G-front-inf-Triangul (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-front-inf-Triangul in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27491	Volume of G-front-middle (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-front-middle in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27492	Volume of G-front-sup (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-front-sup in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27493	Volume of G-Ins-lg+S-cent-ins (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-Ins-lg+S-cent-ins in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27494	Volume of G-insular-short (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-insular-short in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27495	Volume of G-occipital-middle (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-occipital-middle in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27496	Volume of G-occipital-sup (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-occipital-sup in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27497	Volume of G-oc-temp-lat-fusifor (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-oc-temp-lat-fusifor in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27498	Volume of G-oc-temp-med-Lingual (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-oc-temp-med-Lingual in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27499	Volume of G-oc-temp-med-Parahip (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-oc-temp-med-Parahip in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27500	Volume of G-orbital (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-orbital in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27501	Volume of G-pariet-inf-Angular (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-pariet-inf-Angular in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27502	Volume of G-pariet-inf-Supramar (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-pariet-inf-Supramar in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27503	Volume of G-parietal-sup (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-parietal-sup in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27504	Volume of G-postcentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-postcentral in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27505	Volume of G-precentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-precentral in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27506	Volume of G-precuneus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-precuneus in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27507	Volume of G-rectus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-rectus in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27508	Volume of G-subcallosal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-subcallosal in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27509	Volume of G-temp-sup-G-T-transv (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-temp-sup-G-T-transv in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27510	Volume of G-temp-sup-Lateral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-temp-sup-Lateral in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27511	Volume of G-temp-sup-Plan-polar (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-temp-sup-Plan-polar in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27512	Volume of G-temp-sup-Plan-tempo (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-temp-sup-Plan-tempo in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27513	Volume of G-temporal-inf (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-temporal-inf in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27514	Volume of G-temporal-middle (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-temporal-middle in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27515	Volume of Lat-Fis-ant-Horizont (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of Lat-Fis-ant-Horizont in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27516	Volume of Lat-Fis-ant-Vertical (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of Lat-Fis-ant-Vertical in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51609	0	1	1	1
27517	Volume of Lat-Fis-post (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of Lat-Fis-post in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27518	Volume of Pole-occipital (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of Pole-occipital in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27519	Volume of Pole-temporal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of Pole-temporal in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27520	Volume of S-calcarine (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-calcarine in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27521	Volume of S-central (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-central in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27522	Volume of S-cingul-Marginalis (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-cingul-Marginalis in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27523	Volume of S-circular-insula-ant (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-circular-insula-ant in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27524	Volume of S-circular-insula-inf (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-circular-insula-inf in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27525	Volume of S-circular-insula-sup (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-circular-insula-sup in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27526	Volume of S-collat-transv-ant (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-collat-transv-ant in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27527	Volume of S-collat-transv-post (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-collat-transv-post in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27528	Volume of S-front-inf (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-front-inf in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27529	Volume of S-front-middle (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-front-middle in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27530	Volume of S-front-sup (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-front-sup in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27531	Volume of S-interm-prim-Jensen (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-interm-prim-Jensen in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46901	51581	0	1	1	1
27532	Volume of S-intrapariet+P-trans (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-intrapariet+P-trans in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27533	Volume of S-oc-middle+Lunatus (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-oc-middle+Lunatus in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27534	Volume of S-oc-sup+transversal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-oc-sup+transversal in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27535	Volume of S-occipital-ant (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-occipital-ant in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27536	Volume of S-oc-temp-lat (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-oc-temp-lat in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27537	Volume of S-oc-temp-med+Lingual (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-oc-temp-med+Lingual in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27538	Volume of S-orbital-lateral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-orbital-lateral in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27539	Volume of S-orbital-med-olfact (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-orbital-med-olfact in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27540	Volume of S-orbital-H-Shaped (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-orbital-H-Shaped in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27541	Volume of S-parieto-occipital (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-parieto-occipital in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27542	Volume of S-pericallosal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-pericallosal in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27543	Volume of S-postcentral (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-postcentral in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27544	Volume of S-precentral-inf-part (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-precentral-inf-part in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27545	Volume of S-precentral-sup-part (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-precentral-sup-part in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27546	Volume of S-suborbital (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-suborbital in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27547	Volume of S-subparietal (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-subparietal in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27548	Volume of S-temporal-inf (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-temporal-inf in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27549	Volume of S-temporal-sup (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-temporal-sup in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27550	Volume of S-temporal-transverse (left hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-temporal-transverse in the left hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46922	51607	0	1	1	1
27551	Area of G+S-frontomargin (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G+S-frontomargin in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27552	Area of G+S-occipital-inf (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G+S-occipital-inf in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27553	Area of G+S-paracentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G+S-paracentral in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27554	Area of G+S-subcentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G+S-subcentral in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27555	Area of G+S-transv-frontopol (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G+S-transv-frontopol in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27556	Area of G+S-cingul-Ant (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G+S-cingul-Ant in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27557	Area of G+S-cingul-Mid-Ant (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G+S-cingul-Mid-Ant in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27558	Area of G+S-cingul-Mid-Post (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G+S-cingul-Mid-Post in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27559	Area of G-cingul-Post-dorsal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-cingul-Post-dorsal in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27560	Area of G-cingul-Post-ventral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-cingul-Post-ventral in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27561	Area of G-cuneus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-cuneus in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27562	Area of G-front-inf-Opercular (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-front-inf-Opercular in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27563	Area of G-front-inf-Orbital (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-front-inf-Orbital in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27564	Area of G-front-inf-Triangul (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-front-inf-Triangul in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27565	Area of G-front-middle (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-front-middle in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27566	Area of G-front-sup (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-front-sup in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27567	Area of G-Ins-lg+S-cent-ins (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-Ins-lg+S-cent-ins in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27568	Area of G-insular-short (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-insular-short in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27569	Area of G-occipital-middle (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-occipital-middle in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27570	Area of G-occipital-sup (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-occipital-sup in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27571	Area of G-oc-temp-lat-fusifor (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-oc-temp-lat-fusifor in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27572	Area of G-oc-temp-med-Lingual (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-oc-temp-med-Lingual in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27573	Area of G-oc-temp-med-Parahip (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-oc-temp-med-Parahip in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27574	Area of G-orbital (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-orbital in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27575	Area of G-pariet-inf-Angular (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-pariet-inf-Angular in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27576	Area of G-pariet-inf-Supramar (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-pariet-inf-Supramar in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27577	Area of G-parietal-sup (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-parietal-sup in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27578	Area of G-postcentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-postcentral in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27579	Area of G-precentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-precentral in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27580	Area of G-precuneus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-precuneus in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27581	Area of G-rectus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-rectus in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27582	Area of G-subcallosal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-subcallosal in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27583	Area of G-temp-sup-G-T-transv (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-temp-sup-G-T-transv in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27584	Area of G-temp-sup-Lateral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-temp-sup-Lateral in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27585	Area of G-temp-sup-Plan-polar (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-temp-sup-Plan-polar in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27586	Area of G-temp-sup-Plan-tempo (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-temp-sup-Plan-tempo in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27587	Area of G-temporal-inf (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-temporal-inf in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27588	Area of G-temporal-middle (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of G-temporal-middle in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27589	Area of Lat-Fis-ant-Horizont (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of Lat-Fis-ant-Horizont in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27590	Area of Lat-Fis-ant-Vertical (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of Lat-Fis-ant-Vertical in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46914	51595	0	1	1	1
27591	Area of Lat-Fis-post (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of Lat-Fis-post in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27592	Area of Pole-occipital (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of Pole-occipital in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27593	Area of Pole-temporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of Pole-temporal in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27594	Area of S-calcarine (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-calcarine in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27595	Area of S-central (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-central in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27596	Area of S-cingul-Marginalis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-cingul-Marginalis in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27597	Area of S-circular-insula-ant (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-circular-insula-ant in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27598	Area of S-circular-insula-inf (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-circular-insula-inf in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27599	Area of S-circular-insula-sup (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-circular-insula-sup in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27600	Area of S-collat-transv-ant (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-collat-transv-ant in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27601	Area of S-collat-transv-post (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-collat-transv-post in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27602	Area of S-front-inf (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-front-inf in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27603	Area of S-front-middle (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-front-middle in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27604	Area of S-front-sup (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-front-sup in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27605	Area of S-interm-prim-Jensen (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-interm-prim-Jensen in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46920	51606	0	1	1	1
27606	Area of S-intrapariet+P-trans (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-intrapariet+P-trans in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27607	Area of S-oc-middle+Lunatus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-oc-middle+Lunatus in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27608	Area of S-oc-sup+transversal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-oc-sup+transversal in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27609	Area of S-occipital-ant (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-occipital-ant in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27610	Area of S-oc-temp-lat (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-oc-temp-lat in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27611	Area of S-oc-temp-med+Lingual (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-oc-temp-med+Lingual in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27612	Area of S-orbital-lateral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-orbital-lateral in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27613	Area of S-orbital-med-olfact (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-orbital-med-olfact in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27614	Area of S-orbital-H-Shaped (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-orbital-H-Shaped in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27615	Area of S-parieto-occipital (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-parieto-occipital in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27616	Area of S-pericallosal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-pericallosal in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27617	Area of S-postcentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-postcentral in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27618	Area of S-precentral-inf-part (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-precentral-inf-part in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27619	Area of S-precentral-sup-part (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-precentral-sup-part in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27620	Area of S-suborbital (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-suborbital in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27621	Area of S-subparietal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-subparietal in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27622	Area of S-temporal-inf (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-temporal-inf in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27623	Area of S-temporal-sup (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-temporal-sup in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27624	Area of S-temporal-transverse (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm2	197	0	2	2	3	0	0	Area of S-temporal-transverse in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46923	51609	0	1	1	1
27625	Mean thickness of G+S-frontomargin (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G+S-frontomargin in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27626	Mean thickness of G+S-occipital-inf (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G+S-occipital-inf in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27627	Mean thickness of G+S-paracentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G+S-paracentral in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27628	Mean thickness of G+S-subcentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G+S-subcentral in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27629	Mean thickness of G+S-transv-frontopol (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G+S-transv-frontopol in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27630	Mean thickness of G+S-cingul-Ant (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G+S-cingul-Ant in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27631	Mean thickness of G+S-cingul-Mid-Ant (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G+S-cingul-Mid-Ant in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27632	Mean thickness of G+S-cingul-Mid-Post (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G+S-cingul-Mid-Post in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27633	Mean thickness of G-cingul-Post-dorsal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-cingul-Post-dorsal in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27634	Mean thickness of G-cingul-Post-ventral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-cingul-Post-ventral in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27635	Mean thickness of G-cuneus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-cuneus in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27636	Mean thickness of G-front-inf-Opercular (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-front-inf-Opercular in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27637	Mean thickness of G-front-inf-Orbital (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-front-inf-Orbital in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27638	Mean thickness of G-front-inf-Triangul (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-front-inf-Triangul in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27639	Mean thickness of G-front-middle (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-front-middle in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27640	Mean thickness of G-front-sup (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-front-sup in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27641	Mean thickness of G-Ins-lg+S-cent-ins (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-Ins-lg+S-cent-ins in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27642	Mean thickness of G-insular-short (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-insular-short in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27643	Mean thickness of G-occipital-middle (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-occipital-middle in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27644	Mean thickness of G-occipital-sup (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-occipital-sup in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27645	Mean thickness of G-oc-temp-lat-fusifor (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-oc-temp-lat-fusifor in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27646	Mean thickness of G-oc-temp-med-Lingual (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-oc-temp-med-Lingual in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27647	Mean thickness of G-oc-temp-med-Parahip (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-oc-temp-med-Parahip in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27648	Mean thickness of G-orbital (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-orbital in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27649	Mean thickness of G-pariet-inf-Angular (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-pariet-inf-Angular in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27650	Mean thickness of G-pariet-inf-Supramar (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-pariet-inf-Supramar in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27651	Mean thickness of G-parietal-sup (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-parietal-sup in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27652	Mean thickness of G-postcentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-postcentral in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27653	Mean thickness of G-precentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-precentral in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27654	Mean thickness of G-precuneus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-precuneus in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27655	Mean thickness of G-rectus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-rectus in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27656	Mean thickness of G-subcallosal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-subcallosal in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27657	Mean thickness of G-temp-sup-G-T-transv (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-temp-sup-G-T-transv in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27658	Mean thickness of G-temp-sup-Lateral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-temp-sup-Lateral in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27659	Mean thickness of G-temp-sup-Plan-polar (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-temp-sup-Plan-polar in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27660	Mean thickness of G-temp-sup-Plan-tempo (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-temp-sup-Plan-tempo in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27661	Mean thickness of G-temporal-inf (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-temporal-inf in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27662	Mean thickness of G-temporal-middle (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of G-temporal-middle in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27663	Mean thickness of Lat-Fis-ant-Horizont (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of Lat-Fis-ant-Horizont in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27664	Mean thickness of Lat-Fis-ant-Vertical (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of Lat-Fis-ant-Vertical in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46914	51595	0	1	1	1
27665	Mean thickness of Lat-Fis-post (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of Lat-Fis-post in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27666	Mean thickness of Pole-occipital (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of Pole-occipital in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27667	Mean thickness of Pole-temporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of Pole-temporal in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27668	Mean thickness of S-calcarine (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-calcarine in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27669	Mean thickness of S-central (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-central in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27670	Mean thickness of S-cingul-Marginalis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-cingul-Marginalis in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27671	Mean thickness of S-circular-insula-ant (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-circular-insula-ant in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27672	Mean thickness of S-circular-insula-inf (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-circular-insula-inf in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27673	Mean thickness of S-circular-insula-sup (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-circular-insula-sup in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27674	Mean thickness of S-collat-transv-ant (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-collat-transv-ant in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27675	Mean thickness of S-collat-transv-post (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-collat-transv-post in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27676	Mean thickness of S-front-inf (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-front-inf in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27677	Mean thickness of S-front-middle (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-front-middle in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27678	Mean thickness of S-front-sup (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-front-sup in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27679	Mean thickness of S-interm-prim-Jensen (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-interm-prim-Jensen in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46920	51606	0	1	1	1
27680	Mean thickness of S-intrapariet+P-trans (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-intrapariet+P-trans in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27681	Mean thickness of S-oc-middle+Lunatus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-oc-middle+Lunatus in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27682	Mean thickness of S-oc-sup+transversal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-oc-sup+transversal in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27683	Mean thickness of S-occipital-ant (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-occipital-ant in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27684	Mean thickness of S-oc-temp-lat (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-oc-temp-lat in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27685	Mean thickness of S-oc-temp-med+Lingual (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-oc-temp-med+Lingual in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27686	Mean thickness of S-orbital-lateral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-orbital-lateral in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27687	Mean thickness of S-orbital-med-olfact (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-orbital-med-olfact in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27688	Mean thickness of S-orbital-H-Shaped (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-orbital-H-Shaped in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27689	Mean thickness of S-parieto-occipital (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-parieto-occipital in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27690	Mean thickness of S-pericallosal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-pericallosal in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27691	Mean thickness of S-postcentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-postcentral in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27692	Mean thickness of S-precentral-inf-part (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-precentral-inf-part in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27693	Mean thickness of S-precentral-sup-part (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-precentral-sup-part in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27694	Mean thickness of S-suborbital (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-suborbital in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27695	Mean thickness of S-subparietal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-subparietal in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27696	Mean thickness of S-temporal-inf (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-temporal-inf in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27697	Mean thickness of S-temporal-sup (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-temporal-sup in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27698	Mean thickness of S-temporal-transverse (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm	197	0	2	2	3	0	0	Mean thickness of S-temporal-transverse in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46923	51609	0	1	1	1
27699	Volume of G+S-frontomargin (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G+S-frontomargin in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27700	Volume of G+S-occipital-inf (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G+S-occipital-inf in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27701	Volume of G+S-paracentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G+S-paracentral in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27702	Volume of G+S-subcentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G+S-subcentral in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27703	Volume of G+S-transv-frontopol (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G+S-transv-frontopol in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27704	Volume of G+S-cingul-Ant (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G+S-cingul-Ant in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27705	Volume of G+S-cingul-Mid-Ant (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G+S-cingul-Mid-Ant in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27706	Volume of G+S-cingul-Mid-Post (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G+S-cingul-Mid-Post in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27707	Volume of G-cingul-Post-dorsal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-cingul-Post-dorsal in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27708	Volume of G-cingul-Post-ventral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-cingul-Post-ventral in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27709	Volume of G-cuneus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-cuneus in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27710	Volume of G-front-inf-Opercular (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-front-inf-Opercular in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27711	Volume of G-front-inf-Orbital (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-front-inf-Orbital in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27712	Volume of G-front-inf-Triangul (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-front-inf-Triangul in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27713	Volume of G-front-middle (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-front-middle in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27714	Volume of G-front-sup (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-front-sup in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27715	Volume of G-Ins-lg+S-cent-ins (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-Ins-lg+S-cent-ins in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27716	Volume of G-insular-short (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-insular-short in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27717	Volume of G-occipital-middle (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-occipital-middle in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27718	Volume of G-occipital-sup (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-occipital-sup in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27719	Volume of G-oc-temp-lat-fusifor (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-oc-temp-lat-fusifor in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27720	Volume of G-oc-temp-med-Lingual (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-oc-temp-med-Lingual in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27721	Volume of G-oc-temp-med-Parahip (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-oc-temp-med-Parahip in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27722	Volume of G-orbital (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-orbital in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27723	Volume of G-pariet-inf-Angular (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-pariet-inf-Angular in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27724	Volume of G-pariet-inf-Supramar (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-pariet-inf-Supramar in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27725	Volume of G-parietal-sup (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-parietal-sup in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27726	Volume of G-postcentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-postcentral in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27727	Volume of G-precentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-precentral in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27728	Volume of G-precuneus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-precuneus in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27729	Volume of G-rectus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-rectus in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27730	Volume of G-subcallosal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-subcallosal in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27731	Volume of G-temp-sup-G-T-transv (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-temp-sup-G-T-transv in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27732	Volume of G-temp-sup-Lateral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-temp-sup-Lateral in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27733	Volume of G-temp-sup-Plan-polar (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-temp-sup-Plan-polar in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27734	Volume of G-temp-sup-Plan-tempo (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-temp-sup-Plan-tempo in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27735	Volume of G-temporal-inf (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-temporal-inf in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27736	Volume of G-temporal-middle (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of G-temporal-middle in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27737	Volume of Lat-Fis-ant-Horizont (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of Lat-Fis-ant-Horizont in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27738	Volume of Lat-Fis-ant-Vertical (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of Lat-Fis-ant-Vertical in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46914	51595	0	1	1	1
27739	Volume of Lat-Fis-post (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of Lat-Fis-post in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27740	Volume of Pole-occipital (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of Pole-occipital in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27741	Volume of Pole-temporal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of Pole-temporal in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27742	Volume of S-calcarine (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-calcarine in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27743	Volume of S-central (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-central in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27744	Volume of S-cingul-Marginalis (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-cingul-Marginalis in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27745	Volume of S-circular-insula-ant (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-circular-insula-ant in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27746	Volume of S-circular-insula-inf (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-circular-insula-inf in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27747	Volume of S-circular-insula-sup (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-circular-insula-sup in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27748	Volume of S-collat-transv-ant (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-collat-transv-ant in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27749	Volume of S-collat-transv-post (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-collat-transv-post in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27750	Volume of S-front-inf (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-front-inf in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27751	Volume of S-front-middle (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-front-middle in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27752	Volume of S-front-sup (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-front-sup in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27753	Volume of S-interm-prim-Jensen (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-interm-prim-Jensen in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46920	51606	0	1	1	1
27754	Volume of S-intrapariet+P-trans (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-intrapariet+P-trans in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27755	Volume of S-oc-middle+Lunatus (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-oc-middle+Lunatus in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27756	Volume of S-oc-sup+transversal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-oc-sup+transversal in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27757	Volume of S-occipital-ant (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-occipital-ant in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27758	Volume of S-oc-temp-lat (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-oc-temp-lat in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27759	Volume of S-oc-temp-med+Lingual (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-oc-temp-med+Lingual in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27760	Volume of S-orbital-lateral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-orbital-lateral in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27761	Volume of S-orbital-med-olfact (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-orbital-med-olfact in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27762	Volume of S-orbital-H-Shaped (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-orbital-H-Shaped in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27763	Volume of S-parieto-occipital (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-parieto-occipital in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27764	Volume of S-pericallosal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-pericallosal in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27765	Volume of S-postcentral (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-postcentral in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27766	Volume of S-precentral-inf-part (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-precentral-inf-part in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27767	Volume of S-precentral-sup-part (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-precentral-sup-part in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27768	Volume of S-suborbital (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-suborbital in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27769	Volume of S-subparietal (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-subparietal in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27770	Volume of S-temporal-inf (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-temporal-inf in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27771	Volume of S-temporal-sup (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-temporal-sup in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46924	51610	0	1	1	1
27772	Volume of S-temporal-transverse (right hemisphere)	0	2	0	31	0	0	3	1	0	0	mm3	197	0	2	2	3	0	0	Volume of S-temporal-transverse in the right hemisphere generated by parcellation of the white surface using Destrieux (a2009s) parcellation	2019-04-12T00:00:00	2023-02-27T00:00:00	46923	51609	0	1	1	1
27800	Overall macular thickness (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Overall macular thickness measured from the inner limiting membrane to the retinal pigment epithelium at all subfields in the left eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1873~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2021-07-08T00:00:00	2022-01-27T00:00:00	80305	80305	0	1	1	1
27801	Overall macular thickness (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Overall macular thickness measured from the inner limiting membrane to the retinal pigment epithelium at all subfields in the right eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1873~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2021-07-08T00:00:00	2022-01-27T00:00:00	80755	80755	0	1	1	1
27802	Macular thickness at the central subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Macular thickness measured from the inner limiting membrane to the retinal pigment epithelium at the central subfield in the left eye as published in Patel et al 2016.  More information, such as image quality metrics and the code used to generate this field, can be found in ~D1873~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2023-01-31T00:00:00	66908	66908	0	1	1	1
27803	Macular thickness at the central subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Macular thickness measured from the inner limiting membrane to the retinal pigment epithelium at the central subfield in the right eye as published in Patel et al 2016.  More information, such as image quality metrics and the code used to generate this field, can be found in ~D1873~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2023-01-31T00:00:00	66905	66905	0	1	1	1
27804	Macular thickness at the inner inferior subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Macular thickness measured from the inner limiting membrane to the retinal pigment epithelium at the inner inferior subfield in the left eye as published in Patel et al 2016.  More information, such as image quality metrics and the code used to generate this field, can be found in ~D1873~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2023-01-31T00:00:00	66074	66074	0	1	1	1
27805	Macular thickness at the inner inferior subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Macular thickness measured from the inner limiting membrane to the retinal pigment epithelium at the inner inferior subfield in the right eye as published in Patel et al 2016.  More information, such as image quality metrics and the code used to generate this field, can be found in ~D1873~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2023-01-31T00:00:00	66542	66542	0	1	1	1
27806	Macular thickness at the inner nasal subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Macular thickness measured from the inner limiting membrane to the retinal pigment epithelium at the inner nasal subfield in the left eye as published in Patel et al 2016.  More information, such as image quality metrics and the code used to generate this field, can be found in ~D1873~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2023-01-31T00:00:00	66828	66828	0	1	1	1
27807	Macular thickness at the inner nasal subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Macular thickness measured from the inner limiting membrane to the retinal pigment epithelium at the inner nasal subfield in the right eye as published in Patel et al 2016.  More information, such as image quality metrics and the code used to generate this field, can be found in ~D1873~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2023-01-31T00:00:00	66901	66901	0	1	1	1
27808	Macular thickness at the inner superior subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Macular thickness measured from the inner limiting membrane to the retinal pigment epithelium at the inner superior subfield in the left eye as published in Patel et al 2016.  More information, such as image quality metrics and the code used to generate this field, can be found in ~D1873~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2023-01-31T00:00:00	66905	66905	0	1	1	1
27809	Macular thickness at the inner superior subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Macular thickness measured from the inner limiting membrane to the retinal pigment epithelium at the inner superior subfield in the right eye as published in Patel et al 2016.  More information, such as image quality metrics and the code used to generate this field, can be found in ~D1873~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2023-01-31T00:00:00	66902	66902	0	1	1	1
27810	Macular thickness at the inner temporal subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Macular thickness measured from the inner limiting membrane to the retinal pigment epithelium at the inner temporal subfield in the left eye as published in Patel et al 2016.  More information, such as image quality metrics and the code used to generate this field, can be found in ~D1873~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2023-01-31T00:00:00	66905	66905	0	1	1	1
27811	Macular thickness at the inner temporal subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Macular thickness measured from the inner limiting membrane to the retinal pigment epithelium at the inner temporal subfield in the right eye as published in Patel et al 2016.  More information, such as image quality metrics and the code used to generate this field, can be found in ~D1873~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2023-01-31T00:00:00	66826	66826	0	1	1	1
27812	Macular thickness at the outer inferior subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Macular thickness measured from the inner limiting membrane to the retinal pigment epithelium at the outer inferior subfield in the left eye as published in Patel et al 2016.  More information, such as image quality metrics and the code used to generate this field, can be found in ~D1873~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2023-01-31T00:00:00	65809	65809	0	1	1	1
27813	Macular thickness at the outer inferior subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Macular thickness measured from the inner limiting membrane to the retinal pigment epithelium at the outer inferior subfield in the right eye as published in Patel et al 2016.  More information, such as image quality metrics and the code used to generate this field, can be found in ~D1873~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2023-01-31T00:00:00	66289	66289	0	1	1	1
27814	Macular thickness at the outer nasal subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Macular thickness measured from the inner limiting membrane to the retinal pigment epithelium at the outer nasal subfield in the left eye as published in Patel et al 2016.  More information, such as image quality metrics and the code used to generate this field, can be found in ~D1873~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2023-01-31T00:00:00	66682	66682	0	1	1	1
27815	Macular thickness at the outer nasal subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Macular thickness measured from the inner limiting membrane to the retinal pigment epithelium at the outer nasal subfield in the right eye as published in Patel et al 2016.  More information, such as image quality metrics and the code used to generate this field, can be found in ~D1873~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2023-01-31T00:00:00	66568	66568	0	1	1	1
27816	Macular thickness at the outer superior subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Macular thickness measured from the inner limiting membrane to the retinal pigment epithelium at the outer superior subfield in the left eye as published in Patel et al 2016.  More information, such as image quality metrics and the code used to generate this field, can be found in ~D1873~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2023-01-31T00:00:00	66626	66626	0	1	1	1
27817	Macular thickness at the outer superior subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Macular thickness measured from the inner limiting membrane to the retinal pigment epithelium at the outer superior subfield in the right eye as published in Patel et al 2016.  More information, such as image quality metrics and the code used to generate this field, can be found in ~D1873~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2023-01-31T00:00:00	66560	66560	0	1	1	1
27818	Macular thickness at the outer temporal subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Macular thickness measured from the inner limiting membrane to the retinal pigment epithelium at the outer temporal subfield in the left eye as published in Patel et al 2016.  More information, such as image quality metrics and the code used to generate this field, can be found in ~D1873~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2023-01-31T00:00:00	66600	66600	0	1	1	1
27819	Macular thickness at the outer temporal subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Macular thickness measured from the inner limiting membrane to the retinal pigment epithelium at the outer temporal subfield in the right eye as published in Patel et al 2016.  More information, such as image quality metrics and the code used to generate this field, can be found in ~D1873~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2023-01-31T00:00:00	66709	66709	0	1	1	1
27820	Total macular volume (left)	0	2	0	31	0	0	0	1	0	0	mm3	100079	0	2	0	0	0	0	Total macular volume measured from the inner limiting membrane to the retinal pigment epithelium in the left eye as published in Patel et al 2016.  More information, such as image quality metrics and the code used to generate this field, can be found in ~D1873~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2021-07-08T00:00:00	16049	16049	0	1	1	1
27821	Total macular volume (right)	0	2	0	31	0	0	0	1	0	0	mm3	100079	0	2	0	0	0	0	Total macular volume measured from the inner limiting membrane to the retinal pigment epithelium in the right eye as published in Patel et al 2016.  More information, such as image quality metrics and the code used to generate this field, can be found in ~D1873~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2021-07-08T00:00:00	15997	15997	0	1	1	1
27822	Overall average retinal pigment epithelium thickness (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Overall average retinal pigment epithelium thickness measured from the retinal pigment epithelium to the Bruch's membrane in the left eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2021-07-08T00:00:00	2022-01-27T00:00:00	80305	80305	0	1	1	1
27823	Overall average retinal pigment epithelium thickness (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Overall average retinal pigment epithelium thickness measured from the retinal pigment epithelium to the Bruch's membrane in the right eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source formeasurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2021-07-08T00:00:00	2022-01-27T00:00:00	80755	80755	0	1	1	1
27824	Retinal pigment epithelium thickness at central subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Retinal pigment epithelium thickness measured from the retinal pigment epithelium to the Bruch's membrane at the central subfield in the left eye as published in Ko et al 2017. More information, such as image quality metrics and the code used to generate this field, can be found in ~D1875~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2021-07-08T00:00:00	17408	17408	0	1	1	1
27825	Retinal pigment epithelium thickness at central subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Retinal pigment epithelium thickness measured from the retinal pigment epithelium to the Bruch's membrane at the central subfield in the right eye as published in Ko et al 2017. More information, such as image quality metrics and the code used to generate this field, can be found in ~D1875~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2021-07-08T00:00:00	17038	17038	0	1	1	1
27826	Retinal pigment epithelium thickness at inner inferior subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Retinal pigment epithelium thickness measured from the retinal pigment epithelium to the Bruch's membrane at the inner inferior subfield in the left eye as published in Ko et al 2017. More information, such as image quality metrics and the code used to generate this field, can be found in ~D1875~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2021-07-08T00:00:00	17408	17408	0	1	1	1
27827	Retinal pigment epithelium thickness at inner inferior subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Retinal pigment epithelium thickness measured from the retinal pigment epithelium to the Bruch's membrane at the inner inferior subfield in the right eye as published in Ko et al 2017. More information, such as image quality metrics and the code used to generate this field, can be found in ~D1875~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2021-07-08T00:00:00	17038	17038	0	1	1	1
27828	Retinal pigment epithelium thickness at inner nasal subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Retinal pigment epithelium thickness measured from the retinal pigment epithelium to the Bruch's membrane at the inner nasal subfield in the left eye as published in Ko et al 2017. More information, such as image quality metrics and the code used to generate this field, can be found in ~D1875~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2021-07-08T00:00:00	17408	17408	0	1	1	1
27829	Retinal pigment epithelium thickness at inner nasal subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Retinal pigment epithelium thickness measured from the retinal pigment epithelium to the Bruch's membrane at the inner nasal subfield in the right eye as published in Ko et al 2017. More information, such as image quality metrics and the code used to generate this field, can be found in ~D1875~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2021-07-08T00:00:00	17038	17038	0	1	1	1
27830	Retinal pigment epithelium thickness at inner superior subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Retinal pigment epithelium thickness measured from the retinal pigment epithelium to the Bruch's membrane at the inner superior subfield in the left eye as published in Ko et al 2017. More information, such as image quality metrics and the code used to generate this field, can be found in ~D1875~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2021-07-08T00:00:00	17408	17408	0	1	1	1
27831	Retinal pigment epithelium thickness at inner superior subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Retinal pigment epithelium thickness measured from the retinal pigment epithelium to the Bruch's membrane at the inner superior subfield in the right eye as published in Ko et al 2017. More information, such as image quality metrics and the code used to generate this field, can be found in ~D1875~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2021-07-08T00:00:00	17038	17038	0	1	1	1
27832	Retinal pigment epithelium thickness at inner temporal subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Retinal pigment epithelium thickness measured from the retinal pigment epithelium to the Bruch's membrane at the inner temporal subfield in the left eye as published in Ko et al 2017. More information, such as image quality metrics and the code used to generate this field, can be found in ~D1875~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2021-07-08T00:00:00	17408	17408	0	1	1	1
27833	Retinal pigment epithelium thickness at inner temporal subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Retinal pigment epithelium thickness measured from the retinal pigment epithelium to the Bruch's membrane at the inner temporal subfield in the right eye as published in Ko et al 2017. More information, such as image quality metrics and the code used to generate this field, can be found in ~D1875~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2021-07-08T00:00:00	17038	17038	0	1	1	1
27834	Retinal pigment epithelium thickness at outer inferior subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Retinal pigment epithelium thickness measured from the retinal pigment epithelium to the Bruch's membrane at the outer inferior subfield in the left eye as published in Ko et al 2017. More information, such as image quality metrics and the code used to generate this field, can be found in ~D1875~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2021-07-08T00:00:00	17408	17408	0	1	1	1
27835	Retinal pigment epithelium thickness at outer inferior subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Retinal pigment epithelium thickness measured from the retinal pigment epithelium to the Bruch's membrane at the outer inferior subfield in the right eye as published in Ko et al 2017. More information, such as image quality metrics and the code used to generate this field, can be found in ~D1875~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2021-07-08T00:00:00	17038	17038	0	1	1	1
27836	Retinal pigment epithelium thickness at outer nasal subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Retinal pigment epithelium thickness measured from the retinal pigment epithelium to the Bruch's membrane at the outer nasal subfield in the left eye as published in Ko et al 2017. More information, such as image quality metrics and the code used to generate this field, can be found in ~D1875~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2021-07-08T00:00:00	17408	17408	0	1	1	1
27837	Retinal pigment epithelium thickness at outer nasal subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Retinal pigment epithelium thickness measured from the retinal pigment epithelium to the Bruch's membrane at the outer nasal subfield in the right eye as published in Ko et al 2017. More information, such as image quality metrics and the code used to generate this field, can be found in ~D1875~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2021-07-08T00:00:00	17038	17038	0	1	1	1
27838	Retinal pigment epithelium thickness at outer superior subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Retinal pigment epithelium thickness measured from the retinal pigment epithelium to the Bruch's membrane at the outer superior subfield in the left eye as published in Ko et al 2017. More information, such as image quality metrics and the code used to generate this field, can be found in ~D1875~.Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2021-07-08T00:00:00	17408	17408	0	1	1	1
27839	Retinal pigment epithelium thickness at outer superior subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Retinal pigment epithelium thickness measured from the retinal pigment epithelium to the Bruch's membrane at the outer superior subfield in the right eye as published in Ko et al 2017. More information, such as image quality metrics and the code used to generate this field, can be found in ~D1875~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2021-07-08T00:00:00	17038	17038	0	1	1	1
27840	Retinal pigment epithelium thickness at outer temporal subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Retinal pigment epithelium thickness measured from the retinal pigment epithelium to the Bruch's membrane at the outer temporal subfield in the left eye as published in Ko et al 2017. More information, such as image quality metrics and the code used to generate this field, can be found in ~D1875~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2021-07-08T00:00:00	17408	17408	0	1	1	1
27841	Retinal pigment epithelium thickness at outer temporal subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	0	0	0	Retinal pigment epithelium thickness measured from the retinal pigment epithelium to the Bruch's membrane at the outer temporal subfield in the right eye as published in Ko et al 2017. More information, such as image quality metrics and the code used to generate this field, can be found in ~D1875~. Image source for measurements can be found in ~L100016~	2021-07-08T00:00:00	2021-07-08T00:00:00	17038	17038	0	1	1	1
27851	Disc diameter after inverse rank normal transformation (left)	0	2	0	31	0	0	3	1	0	0	mm	100079	0	2	0	1	0	0	For derivation see ~R955~	2021-06-19T00:00:00	2021-06-19T00:00:00	62700	62700	0	1	1	1
27852	Disc diameter after inverse rank normal transformation (right)	0	2	0	31	0	0	3	1	0	0	mm	100079	0	2	0	1	0	0	For derivation see ~R955~	2021-06-19T00:00:00	2021-06-19T00:00:00	4320	4320	0	1	1	1
27853	Mean of vertical disc diameter (left)	0	2	0	31	0	0	3	1	0	0	mm	100079	0	2	0	1	0	0	For derivation see ~R955~	2021-06-19T00:00:00	2021-06-19T00:00:00	62700	62700	0	1	1	1
27854	Mean of vertical disc diameter (right)	0	2	0	31	0	0	3	1	0	0	mm	100079	0	2	0	1	0	0	For derivation see ~R955~	2021-06-19T00:00:00	2021-06-19T00:00:00	4320	4320	0	1	1	1
27855	Vertical cup to disc ratio (VCDR) regressed and transformed (left)	0	2	0	31	0	0	3	1	0	0	ratio	100079	0	2	0	1	0	0	Values regressed on disc diameter and inverse rank transformation applied. For derivation see ~R955~.	2021-06-19T00:00:00	2021-06-19T00:00:00	60965	60965	0	1	1	1
27856	Vertical cup to disc ratio (VCDR) regressed and transformed (right)	0	2	0	31	0	0	3	1	0	0	ratio	100079	0	2	0	1	0	0	Values regressed on disc diameter and inverse rank transformation applied. For derivation see ~R955~.	2021-06-19T00:00:00	2021-06-19T00:00:00	6055	6055	0	1	1	1
27857	Vertical cup to disc ratio (VCDR) (left)	0	2	0	31	0	0	3	1	0	0	ratio	100079	0	2	0	1	0	0	For derivation see ~R955~	2021-06-19T00:00:00	2021-06-19T00:00:00	60965	60965	0	1	1	1
27858	Vertical cup to disc ratio (VCDR) (right)	0	2	0	31	0	0	3	1	0	0	ratio	100079	0	2	0	1	0	0	For derivation see ~R955~	2021-06-19T00:00:00	2021-06-19T00:00:00	6055	6055	0	1	1	1
27980	Antibody self-test kit device	0	0	0	21	11	0	2	1	0	0		998	783	154	0	1	0	0	Each participant of the Coronavirus Self-test Antibody Study received a self-administered lateral flow test through the post that was either a Fortress Fast COVID-19 Test or an AbC-19<sup>TM</sup> Rapid Test. Fortress kits produced results that differentiated between IgG antibodies (long-term) and IgM antibodies (short-term). AbC-19<sup>TM</sup> kits provided only positive test results for IgG antibodies. <p> ~R4513~ and ~R4520~ show the technical specifications of the Fortress and AbC-19 test kits.	2021-11-09T00:00:00	2022-02-09T00:00:00	201895	202592	110	1	1	1
27981	Antibody test result	0	0	0	21	11	0	0	1	0	0		998	603	154	0	1	0	0	Participants self-reported the result of their COVID-19 antibody self-testing device, either by submitting it online via their UK Biobank participant account, using a paper questionnaire returned to UK Biobank in the mail or via phone to the UK Biobank Participant Resource Centre. Fortress kits from Phase 1 produced results that differentiated between IgG antibodies (long-term) and IgM antibodies (short-term). AbC-19<sup>TM</sup> kits from Phase 2 provided test results for IgG antibodies only. <p> ~R4500~ and ~R4501~ describe Phases 1 and 2 of the coronavirus self-test antibody study.	2021-11-09T00:00:00	2022-02-09T00:00:00	201895	202592	100	1	1	1
27982	Date antibody test performed	0	0	0	51	0	0	0	1	0	0		998	1273	154	0	1	0	0	Participants reported the date that they completed their COVID-19 antibody home-testing device, either by submitting it via a web form, using a postal questionnaire, or, via an automated interactive voice response (IVR) call.	2021-11-09T00:00:00	2022-02-09T00:00:00	201895	202592	120	1	1	1
27983	Received first COVID-19 vaccination	0	0	0	21	11	0	0	1	0	0		998	7	154	0	1	0	0	When participants submitted their COVID-19 antibody test kit result they were asked - 'Have you received a first dose (jab) of a COVID-19 vaccine?'	2021-12-17T00:00:00	2022-02-09T00:00:00	201885	202582	140	1	1	1
27984	Date of first COVID-19 vaccination	0	0	0	51	0	0	0	1	0	0		998	1273	154	0	1	0	0	When participants submitted their COVID-19 antibody test result, they were asked to "Please enter the date of your first vaccination" if they had responded with 'yes' to having received their first jab.	2021-11-09T00:00:00	2022-02-09T00:00:00	195398	195447	150	1	1	1
27985	Received second COVID-19 vaccination	0	0	0	21	11	0	0	1	0	0		998	7	154	0	1	0	0	When participants submitted their COVID-19 antibody test kit result they were asked - 'Have you received a second dose (jab) of a COVID-19 vaccine?'	2021-12-17T00:00:00	2022-02-09T00:00:00	195342	195391	160	1	1	1
27986	Date of second COVID-19 vaccination	0	0	0	51	0	0	0	1	0	0		998	1273	154	0	1	0	0	When participants submitted their COVID-19 antibody test result, they were asked to "Please enter the date of your second vaccination" if they had responded with 'Yes' to having received their second jab.	2021-11-09T00:00:00	2022-02-09T00:00:00	77464	77486	170	1	1	1
27989	Date test result reported	0	0	0	51	0	0	2	1	0	0		998	1642	154	0	1	0	0	The recorded date on which participants submitted their test results, either via web form or an automated interactive voice response (IVR) call. <p> Postal returns have no recorded date of submission as it was not possible to tell how long they had been in transfit and processing delays (e.g. weekends) meant that the data was not always transcribed electronically on the same day it arrived physically - such entries are flagged using ~C1642~.	2022-02-03T00:00:00	2022-02-09T00:00:00	201895	202592	130	1	1	1
27990	Antibody test result	0	0	0	21	11	0	0	0	0	0		997	1854	0	0	0	0	0	Participants who accepted an invitation to the coronavirus infection study provided a blood sample using a Thriva coronavirus (COVID-19) antibody test kit. Blood samples were returned to a Thriva laboratory where they were analysed for N antibodies to SARS-CoV-2 using the Roche Elecsys Anti-SARS-CoV-2. The results were returned to UK Biobank.	2021-12-15T00:00:00	2022-01-06T00:00:00	60270	60270	0	1	1	1
27991	Date antibody test sample analysed	0	0	0	51	0	0	0	0	0	0		997	0	0	0	0	0	0	Participants returned their completed antibody test kit to a Thriva laboratory. This field records the date the result was obtained following analysis by the testing laboratory.	2021-12-15T00:00:00	2022-01-06T00:00:00	60270	60270	0	1	1	1
27992	Date antibody test sample received by laboratory	0	0	0	51	0	0	2	0	0	0		997	0	0	0	0	0	0	Date antibody test sample received by laboratory performing the analysis.	2021-12-15T00:00:00	2022-01-06T00:00:00	60270	60270	0	1	1	1
27993	Date antibody test kit despatched	0	0	0	51	0	0	2	0	0	0		997	1273	0	0	0	0	0	This is the date that the antibody test kit was physically despatched to a participant.	2021-12-15T00:00:00	2022-01-06T00:00:00	60270	60270	0	1	1	1
28000	Antibody test result	0	0	0	21	11	0	0	1	0	0		993	1854	12	0	5	0	0	Participants took a blood sample using a microsampling finger-prick device, and returned the sample to the UK Biobank laboratory, where they were processed to separate the blood components. The plasma was then shipped to an external laboratory where assays were conducted for IgG antibodies to the spike (S) protein.	2022-11-01T00:00:00	2022-11-01T00:00:00	10752	59945	1	1	1	1
28001	Date antibody test sample received by laboratory	0	0	0	51	0	0	2	1	0	0		993	0	12	0	5	0	0	The date the plasma sample was received at the external laboratory for assay testing.	2022-11-01T00:00:00	2022-11-01T00:00:00	10752	59945	2	1	1	1
28003	Plate barcode	0	0	0	41	0	0	2	1	0	0		993	0	12	0	5	0	0	This field indicates on which 384-well plate a particular sample was measured.	2022-11-01T00:00:00	2022-11-01T00:00:00	10752	59945	4	1	1	1
28004	Well ID	0	0	1	41	0	0	2	1	0	0		993	0	12	0	5	0	0	This field indicates the position within a plate of the well used to contain a particular participant's sample.	2022-11-01T00:00:00	2022-11-01T00:00:00	10752	59945	5	1	1	1
28005	Date antibody test sample was analysed	0	0	0	51	0	0	0	1	0	0		993	0	12	0	5	0	0	The date the ELISA test was run.	2022-11-01T00:00:00	2022-11-01T00:00:00	10752	59945	6	1	1	1
28006	Date antibody test kit despatched	0	0	0	51	0	0	2	1	0	0		993	0	12	0	5	0	0	The date that the antibody test kit was physically despatched to a participant.	2022-11-01T00:00:00	2022-11-01T00:00:00	10752	59945	7	1	1	1
28007	Result pattern	0	0	0	41	0	0	0	1	0	0		993	0	12	0	0	0	0	The pattern of results across all samples analysed. This field is provided as a string indicating the result of the test in order of instance, where 'P' represents a postive result, and 'N' represents a negative test result. The field is only populated for participants who returned two positive test results separated by one or more negative results, and is provided to flag participants who may have one or more false postive or false negative results.	2022-11-01T00:00:00	2022-11-01T00:00:00	75	75	8	1	1	1
28008	Self-reported date that antibody test sample was collected	0	0	0	51	0	0	0	1	0	0		993	1273	12	0	5	0	0	The date the participant reported that they took the blood sample.	2022-11-01T00:00:00	2022-11-01T00:00:00	10752	59945	9	1	1	1
28009	Date antibody test sample was received by UK Biobank	0	0	0	51	0	0	2	1	0	0		993	1273	12	0	5	0	0	The date the blood sample was received at the UK Biobank laboratory for initial processing.	2022-11-01T00:00:00	2022-11-01T00:00:00	10752	59945	10	1	1	1
28010	Method of returning questionnaire results	0	0	0	21	11	0	2	1	0	0		992	9564	27	0	8	0	0	Method used to return results of the COVID-19 symptom questionnaire to UK Biobank.	2022-11-01T00:00:00	2022-11-01T00:00:00	10878	60653	1	1	1	1
28011	COVID-19 symptoms: Fever 38 degrees C or greater	0	0	0	21	11	0	0	1	0	0		992	7	27	0	8	0	0	Participants were presented with a list of symptoms and asked to tick "Yes" next to any that they had experienced since December 2019 if they were providing their first sample, or over the last month if they were not providing their first sample. <p>The symptom for this Data-Field was: Fever 38 degrees C or greater	2022-11-01T00:00:00	2022-11-01T00:00:00	10878	60653	2	1	1	1
28012	COVID-19 symptoms: Wheezing	0	0	0	21	11	0	0	1	0	0		992	7	27	0	8	0	0	Participants were presented with a list of symptoms and asked to tick "Yes" next to any that they had experienced since December 2019 if they were providing their first sample, or over the last month if they were not providing their first sample. <p>The symptom for this Data-Field was: Wheezing	2022-11-01T00:00:00	2022-11-01T00:00:00	10878	60653	3	1	1	1
28013	COVID-19 symptoms: Chills	0	0	0	21	11	0	0	1	0	0		992	7	27	0	8	0	0	Participants were presented with a list of symptoms and asked to tick "Yes" next to any that they had experienced since December 2019 if they were providing their first sample, or over the last month if they were not providing their first sample. <p>The symptom for this Data-Field was: Chills	2022-11-01T00:00:00	2022-11-01T00:00:00	10878	60653	4	1	1	1
28014	COVID-19 symptoms: Chest pain	0	0	0	21	11	0	0	1	0	0		992	7	27	0	8	0	0	Participants were presented with a list of symptoms and asked to tick "Yes" next to any that they had experienced since December 2019 if they were providing their first sample, or over the last month if they were not providing their first sample. <p>The symptom for this Data-Field was: Chest pain	2022-11-01T00:00:00	2022-11-01T00:00:00	10878	60653	5	1	1	1
28015	COVID-19 symptoms: Feeling more tired than usual	0	0	0	21	11	0	0	1	0	0		992	7	27	0	8	0	0	Participants were presented with a list of symptoms and asked to tick "Yes" next to any that they had experienced since December 2019 if they were providing their first sample, or over the last month if they were not providing their first sample. <p>The symptom for this Data-Field was: Feeling more tired than usual	2022-11-01T00:00:00	2022-11-01T00:00:00	10878	60653	6	1	1	1
28016	COVID-19 symptoms: Headache	0	0	0	21	11	0	0	1	0	0		992	7	27	0	8	0	0	Participants were presented with a list of symptoms and asked to tick "Yes" next to any that they had experienced since December 2019 if they were providing their first sample, or over the last month if they were not providing their first sample. <p>The symptom for this Data-Field was: Headache	2022-11-01T00:00:00	2022-11-01T00:00:00	10878	60653	7	1	1	1
28017	COVID-19 symptoms: Muscle ache	0	0	0	21	11	0	0	1	0	0		992	7	27	0	8	0	0	Participants were presented with a list of symptoms and asked to tick "Yes" next to any that they had experienced since December 2019 if they were providing their first sample, or over the last month if they were not providing their first sample. <p>The symptom for this Data-Field was: Muscle ache	2022-11-01T00:00:00	2022-11-01T00:00:00	10878	60653	8	1	1	1
28018	COVID-19 symptoms: Nausea/vomiting	0	0	0	21	11	0	0	1	0	0		992	7	27	0	8	0	0	Participants were presented with a list of symptoms and asked to tick "Yes" next to any that they had experienced since December 2019 if they were providing their first sample, or over the last month if they were not providing their first sample. <p>The symptom for this Data-Field was: Nausea/vomiting	2022-11-01T00:00:00	2022-11-01T00:00:00	10878	60653	9	1	1	1
28019	COVID-19 symptoms: Sore throat	0	0	0	21	11	0	0	1	0	0		992	7	27	0	8	0	0	Participants were presented with a list of symptoms and asked to tick "Yes" next to any that they had experienced since December 2019 if they were providing their first sample, or over the last month if they were not providing their first sample. <p>The symptom for this Data-Field was: Sore throat	2022-11-01T00:00:00	2022-11-01T00:00:00	10878	60653	10	1	1	1
28020	COVID-19 symptoms: Abdominal pain	0	0	0	21	11	0	0	1	0	0		992	7	27	0	8	0	0	Participants were presented with a list of symptoms and asked to tick "Yes" next to any that they had experienced since December 2019 if they were providing their first sample, or over the last month if they were not providing their first sample. <p>The symptom for this Data-Field was: Abdominal pain	2022-11-01T00:00:00	2022-11-01T00:00:00	10878	60653	11	1	1	1
28021	COVID-19 symptoms: Persistent dry cough	0	0	0	21	11	0	0	1	0	0		992	7	27	0	8	0	0	Participants were presented with a list of symptoms and asked to tick "Yes" next to any that they had experienced since December 2019 if they were providing their first sample, or over the last month if they were not providing their first sample. <p>The symptom for this Data-Field was: Persistent dry cough	2022-11-01T00:00:00	2022-11-01T00:00:00	10878	60653	12	1	1	1
28022	COVID-19 symptoms: Diarrhoea	0	0	0	21	11	0	0	1	0	0		992	7	27	0	8	0	0	Participants were presented with a list of symptoms and asked to tick "Yes" next to any that they had experienced since December 2019 if they were providing their first sample, or over the last month if they were not providing their first sample. <p>The symptom for this Data-Field was: Diarrhoea	2022-11-01T00:00:00	2022-11-01T00:00:00	10878	60653	13	1	1	1
28023	COVID-19 symptoms: Runny nose	0	0	0	21	11	0	0	1	0	0		992	7	27	0	8	0	0	Participants were presented with a list of symptoms and asked to tick "Yes" next to any that they had experienced since December 2019 if they were providing their first sample, or over the last month if they were not providing their first sample. <p>The symptom for this Data-Field was: Runny nose	2022-11-01T00:00:00	2022-11-01T00:00:00	10878	60653	14	1	1	1
28024	COVID-19 symptoms: Loss of sense of small and taste	0	0	0	21	11	0	0	1	0	0		992	7	27	0	8	0	0	Participants were presented with a list of symptoms and asked to tick "Yes" next to any that they had experienced since December 2019 if they were providing their first sample, or over the last month if they were not providing their first sample. <p>The symptom for this Data-Field was: Loss of sense of smell and taste	2022-11-01T00:00:00	2022-11-01T00:00:00	10878	60653	15	1	1	1
28025	COVID-19 symptoms: Shortness of breath	0	0	0	21	11	0	0	1	0	0		992	7	27	0	8	0	0	Participants were presented with a list of symptoms and asked to tick "Yes" next to any that they had experienced since December 2019 if they were providing their first sample, or over the last month if they were not providing their first sample. <p>The symptom for this Data-Field was: Shortness of breath	2022-11-01T00:00:00	2022-11-01T00:00:00	10878	60653	16	1	1	1
28026	COVID-19 symptoms: Productive long-term cough ('wet' or chesty)	0	0	0	21	11	0	0	1	0	0		992	7	27	0	8	0	0	Participants were presented with a list of symptoms and asked to tick "Yes" next to any that they had experienced since December 2019 if they were providing their first sample, or over the last month if they were not providing their first sample. <p>The symptom for this Data-Field was: Productive long-term cough ('wet' or chesty)	2022-11-01T00:00:00	2022-11-01T00:00:00	10878	60653	17	1	1	1
28027	COVID-19 symptoms requiring medical attention	0	0	0	21	11	0	0	1	0	0		992	7	27	0	8	0	0	If participants responded 'yes' to having experienced any of the symptoms listed in the COVID-19 symptoms questionnaire, they were asked to tick "yes" if their symptoms required them to seek medical attention.	2022-11-01T00:00:00	2022-11-01T00:00:00	10878	60653	18	1	1	1
28028	COVID-19 symptoms requiring self-isolation	0	0	0	21	11	0	0	1	0	0		992	7	27	0	8	0	0	If participants responded 'yes' to having experienced any of the symptoms listed in the COVID-19 symptoms questionnaire, they were asked to tick "yes" if their symptoms required them to self-isolate.	2022-11-01T00:00:00	2022-11-01T00:00:00	10878	60653	19	1	1	1
28029	COVID-19 symptoms requiring hospitalisation	0	0	0	21	11	0	0	1	0	0		992	7	27	0	8	0	0	If participants responded 'yes' to having experienced any of the symptoms listed in the COVID-19 symptoms questionnaire, they were asked to tick "yes" if their symptoms required them to be hospitalised.	2022-11-01T00:00:00	2022-11-01T00:00:00	10878	60653	20	1	1	1
28030	Self-reported date symptoms first experienced	0	0	0	51	0	0	0	1	0	0		992	1273	27	0	6	0	0	The date the participant reported that they first experienced symptoms listed in the COVID-19 symptom questionnaire.	2022-11-01T00:00:00	2022-11-01T00:00:00	5460	9366	21	1	1	1
28031	Self-reported date of a positive COVID-19 test result	0	0	0	51	0	0	0	1	0	0		992	1273	27	0	5	0	0	The date the participant reported that they tested positive for COVID-19.	2022-11-01T00:00:00	2022-11-01T00:00:00	133	154	22	1	1	1
28032	Date questionnaire results were received by post	0	0	0	51	0	0	2	1	0	0		992	1273	27	0	8	0	0	The date that the completed COVID-19 symtom questionnaire was received by post at UK Biobank. Only populated for questionnaire results returned by post.	2022-11-01T00:00:00	2022-11-01T00:00:00	10878	59793	23	1	1	1
28033	Date questionnaire results were received by website	0	0	0	51	0	0	2	1	0	0		992	0	27	2	6	0	0	The date that the COVID-19 symptom survey responses were submitted. Only populated for surveys completed via the website.	2022-11-01T00:00:00	2022-11-01T00:00:00	663	860	24	1	1	1
28034	Description of main home	0	0	0	21	11	0	0	0	0	0		991	1220	0	0	0	0	0	Question asked: Which best describes your main home?	2022-11-01T00:00:00	2022-11-01T00:00:00	9952	9952	1	1	1	1
28035	Number of separate rooms in main home	0	0	0	21	11	0	0	0	0	0		991	1221	0	0	0	0	0	Question asked: How many separate rooms are there in your main home?<p><i>Do not include bathrooms/toilets, utility rooms, hallways/landings, rooms that can only be used for storage and outside spaces.</i>	2022-11-01T00:00:00	2022-11-01T00:00:00	9947	9947	2	1	1	1
28036	Lives with others in main home	0	0	0	21	11	0	0	0	0	0		991	100352	0	0	0	0	0	Question asked: Does anyone live with you in your main home?(You should include anyone who has lived with you between 1st March 2020 and 30th November 2020)	2022-11-01T00:00:00	2022-11-01T00:00:00	9947	9947	3	1	1	1
28037	Number of 0-4 year olds in main home	0	0	0	21	11	0	0	0	0	0		991	1222	0	0	0	0	0	Question asked: Excluding yourself, how many individuals in each of the following age groups live in your main home? (You should include anyone who has lived with you between 1st March 2020 and 30th November 2020)<p>0-4 years old	2022-11-01T00:00:00	2022-11-01T00:00:00	7412	7412	4	1	1	1
28038	Number of 5-11 year olds in main home	0	0	0	21	11	0	0	0	0	0		991	1222	0	0	0	0	0	Question asked: Excluding yourself, how many individuals in each of the following age groups live in your main home? (You should include anyone who has lived with you between 1st March 2020 and 30th November 2020)<p>5-11 years old	2022-11-01T00:00:00	2022-11-01T00:00:00	7412	7412	5	1	1	1
28039	Number of 12-18 year olds in main home	0	0	0	21	11	0	0	0	0	0		991	1222	0	0	0	0	0	Question asked: Excluding yourself, how many individuals in each of the following age groups live in your main home? (You should include anyone who has lived with you between 1st March 2020 and 30th November 2020)<p>12-18 years old	2022-11-01T00:00:00	2022-11-01T00:00:00	7412	7412	6	1	1	1
28040	Number of 19-29 year olds in main home	0	0	0	21	11	0	0	0	0	0		991	1222	0	0	0	0	0	Question asked: Excluding yourself, how many individuals in each of the following age groups live in your main home? (You should include anyone who has lived with you between 1st March 2020 and 30th November 2020)<p>19-29 years old	2022-11-01T00:00:00	2022-11-01T00:00:00	7412	7412	7	1	1	1
28041	Number of 30-39 year olds in main home	0	0	0	21	11	0	0	0	0	0		991	1222	0	0	0	0	0	Question asked: Excluding yourself, how many individuals in each of the following age groups live in your main home? (You should include anyone who has lived with you between 1st March 2020 and 30th November 2020)<p>30-39 years old	2022-11-01T00:00:00	2022-11-01T00:00:00	7412	7412	8	1	1	1
28042	Number of 40-49 year olds in main home	0	0	0	21	11	0	0	0	0	0		991	1222	0	0	0	0	0	Question asked: Excluding yourself, how many individuals in each of the following age groups live in your main home? (You should include anyone who has lived with you between 1st March 2020 and 30th November 2020)<p>40-49 years old	2022-11-01T00:00:00	2022-11-01T00:00:00	7412	7412	9	1	1	1
28043	Number of 50-59 year olds in main home	0	0	0	21	11	0	0	0	0	0		991	1222	0	0	0	0	0	Question asked: Excluding yourself, how many individuals in each of the following age groups live in your main home? (You should include anyone who has lived with you between 1st March 2020 and 30th November 2020)<p>50-59 years old	2022-11-01T00:00:00	2022-11-01T00:00:00	7412	7412	10	1	1	1
28044	Number of 60-69 year olds in main home	0	0	0	21	11	0	0	0	0	0		991	1222	0	0	0	0	0	Question asked: Excluding yourself, how many individuals in each of the following age groups live in your main home? (You should include anyone who has lived with you between 1st March 2020 and 30th November 2020)<p>60-69 years old	2022-11-01T00:00:00	2022-11-01T00:00:00	7412	7412	11	1	1	1
28045	Number of 70-79 year olds in main home	0	0	0	21	11	0	0	0	0	0		991	1222	0	0	0	0	0	Question asked: Excluding yourself, how many individuals in each of the following age groups live in your main home? (You should include anyone who has lived with you between 1st March 2020 and 30th November 2020)<p>70-79 years old	2022-11-01T00:00:00	2022-11-01T00:00:00	7412	7412	12	1	1	1
28046	Number of 80+ year olds in main home	0	0	0	21	11	0	0	0	0	0		991	1222	0	0	0	0	0	Question asked: Excluding yourself, how many individuals in each of the following age groups live in your main home? (You should include anyone who has lived with you between 1st March 2020 and 30th November 2020)<p>80+ years old	2022-11-01T00:00:00	2022-11-01T00:00:00	7412	7412	13	1	1	1
28047	Young people in main home attended school or other childcare setting between mid-March and the end of June (i.e the first UK lockdown)	0	0	0	21	11	0	0	0	0	0		991	100352	0	0	0	0	0	Question asked: Did any of the children/young people who live in your main home attend school, college or any other formal childcare setting (including holiday clubs) between mid-March and the end of June (i.e the first UK lockdown)?	2022-11-01T00:00:00	2022-11-01T00:00:00	1020	1020	14	1	1	1
28048	Young people in main home attended school or other childcare setting between the start of July and mid-September	0	0	0	21	11	0	0	0	0	0		991	100352	0	0	0	0	0	Question asked: Did any of the children/young people who live in your main home attend school, college or any other formal childcare setting (including holiday clubs) between the start of July and mid-September?	2022-11-01T00:00:00	2022-11-01T00:00:00	1020	1020	15	1	1	1
28049	Young people in main home attended school or other childcare setting between mid-September and the end of October	0	0	0	21	11	0	0	0	0	0		991	100352	0	0	0	0	0	Question asked: Did any of the children/young people who live in your main home attend school, college or any other formal childcare setting (including holiday clubs) between mid-September and the end of October?	2022-11-01T00:00:00	2022-11-01T00:00:00	1020	1020	16	1	1	1
28050	Young people in main home attended school or other childcare setting between the start of November and the start of December	0	0	0	21	11	0	0	0	0	0		991	100352	0	0	0	0	0	Question asked: Did any of the children/young people who live in your main home attend school, college or any other formal childcare setting (including holiday clubs) between the start of November and the start of December?	2022-11-01T00:00:00	2022-11-01T00:00:00	1020	1020	17	1	1	1
28051	Number of people in main home who regularly worked outside the home	0	0	0	21	11	0	0	0	0	0		991	1223	0	0	0	0	0	Question asked: Please think about the time period between 1st March 2020 and 30th November 2020.<p>Excluding yourself, how many people in your main home have regularly worked outside the home for at least 10 hours per week?	2022-11-01T00:00:00	2022-11-01T00:00:00	7417	7417	18	1	1	1
28052	Number of people in main home had COVID-19	0	0	0	21	11	0	0	0	0	0		991	1223	0	0	0	0	0	Question asked: Please think about the time period between 1st March 2020 and 30th November 2020.<p>Excluding yourself, how many people in your main home do you think have had COVID-19?	2022-11-01T00:00:00	2022-11-01T00:00:00	7417	7417	19	1	1	1
28053	Number of people in main home tested positive for COVID-19	0	0	0	21	11	0	0	0	0	0		991	1223	0	0	0	0	0	Question asked: Please think about the time period between 1st March 2020 and 30th November 2020.<p>Excluding yourself, how many people in your main home have tested positive for COVID-19?	2022-11-01T00:00:00	2022-11-01T00:00:00	868	868	20	1	1	1
28054	Care or support provided to people with COVID-19	0	0	0	22	11	0	0	0	1	0		991	1231	0	0	0	0	1	Question asked: Did you provide any of the following care or support to people you live with that you thought had COVID-19 or have tested positive for COVID-19?<br><i>Select all that apply.</i>	2022-11-01T00:00:00	2022-11-01T00:00:00	361	404	21	1	1	1
28055	Time spent per day within 1 metre of people with COVID-19	0	0	0	21	11	0	0	0	0	0		991	1227	0	0	0	0	0	Question asked: How much time did you typically spend each day within 1 metre of people you live with that you thought had COVID-19 or tested positive for COVID-19?<p><i>If more than one person in your household was sick, answer this question about the person you spent the most time with while sick.</i>	2022-11-01T00:00:00	2022-11-01T00:00:00	361	361	22	1	1	1
28056	Qualifications	0	0	0	22	11	0	0	0	1	0		991	100305	0	0	0	0	5	Question asked: Which of the following qualifications do you have?<br><i>Select all that apply</i>	2022-11-01T00:00:00	2022-11-01T00:00:00	9952	19359	23	1	1	1
28057	Employment situation between mid-March and the end of June 2020 (i.e the first UK lockdown)	0	0	0	21	11	0	0	0	0	0		991	1228	0	0	0	0	0	Question asked: What was your employment situation between mid-March and the end of June (i.e the first UK lockdown)?<br><i>Please choose the activity that you spent the most time doing</i>	2022-11-01T00:00:00	2022-11-01T00:00:00	9952	9952	24	1	1	1
28058	Employment situation changed since the end of June 2020	0	0	0	21	11	0	0	0	0	0		991	100352	0	0	0	0	0	Question asked: Has your employment situation changed since the end of June 2020?	2022-11-01T00:00:00	2022-11-01T00:00:00	9952	9952	25	1	1	1
28059	Employment situation between the start of July and mid-September	0	0	0	21	11	0	0	0	0	0		991	1228	0	0	0	0	0	Question asked: What was your employment situation between the start of July and mid-September?	2022-11-01T00:00:00	2022-11-01T00:00:00	916	916	26	1	1	1
28060	Employment situation between mid-September and the end of October	0	0	0	21	11	0	0	0	0	0		991	1228	0	0	0	0	0	Question asked: What was your employment situation between mid-September and the end of October?	2022-11-01T00:00:00	2022-11-01T00:00:00	916	916	27	1	1	1
28061	Employment situation between the start of November and the start of December	0	0	0	21	11	0	0	0	0	0		991	1228	0	0	0	0	0	Question asked: What was your employment situation between the start of November and the start of December?	2022-11-01T00:00:00	2022-11-01T00:00:00	916	916	28	1	1	1
28062	Designated key worker between 1st March 2020 and 30th November 2020	0	0	0	21	11	0	0	0	0	0		991	100617	0	0	0	0	0	Question asked: At any time between 1st March 2020 and 30th November 2020 were you designated a key worker? <br><i>Click <a href="https://www.gov.uk/government/publications/coronavirus-covid-19-maintaining-educational-provision/guidance-for-schools-colleges-and-local-authorities-on-maintaining-educational-provision#critical-workers">here </a>for the definition of 'key worker'</i>	2022-11-01T00:00:00	2022-11-01T00:00:00	9952	9952	29	1	1	1
28063	Keyworker occupation group	0	0	0	21	11	0	0	0	0	0		991	1230	0	0	0	0	0	Question asked: Which keyworker occupation group was this role in? <br><i>Click <a href="https://www.gov.uk/government/publications/coronavirus-covid-19-maintaining-educational-provision/guidance-for-schools-colleges-and-local-authorities-on-maintaining-educational-provision#critical-workers">here </a>for the definition of 'key worker'</i>	2022-11-01T00:00:00	2022-11-01T00:00:00	1552	1552	30	1	1	1
28064	In close contact with public or co-workers between 1st March 2020 and 30th November 2020 as part of job	0	0	0	21	11	0	0	0	0	0		991	100617	0	0	0	0	0	Question asked: At any time between 1st March 2020 and 30th November 2020 were you typically in close contact (defined as face-to-face within 1 metre for 10 minutes or more) with the public or co-workers as part of your job?	2022-11-01T00:00:00	2022-11-01T00:00:00	9952	9952	31	1	1	1
28065	How often cloth face coverings used at work between 1st March 2020 and 30th November 2020	0	0	0	21	11	0	0	0	0	0		991	1224	0	0	0	0	0	Question asked: At any time between 1st March 2020 and 30th November 2020 how often did you use the following types of personal protective equipment (PPE)/hygiene practices at work?<p>Cloth face coverings	2022-11-01T00:00:00	2022-11-01T00:00:00	1133	1133	32	1	1	1
28066	How often medical face masks used at work between 1st March 2020 and 30th November 2020	0	0	0	21	11	0	0	0	0	0		991	1224	0	0	0	0	0	Question asked: At any time between 1st March 2020 and 30th November 2020 how often did you use the following types of personal protective equipment (PPE)/hygiene practices at work?<p>Medical face masks (i.e. surgical masks)	2022-11-01T00:00:00	2022-11-01T00:00:00	1133	1133	33	1	1	1
28067	How often respirators used at work between 1st March 2020 and 30th November 2020	0	0	0	21	11	0	0	0	0	0		991	1224	0	0	0	0	0	Question asked: At any time between 1st March 2020 and 30th November 2020 how often did you use the following types of personal protective equipment (PPE)/hygiene practices at work?<p>Respirators (N95)	2022-11-01T00:00:00	2022-11-01T00:00:00	1133	1133	34	1	1	1
28068	How often eye protection used at work between 1st March 2020 and 30th November 2020	0	0	0	21	11	0	0	0	0	0		991	1224	0	0	0	0	0	Question asked: At any time between 1st March 2020 and 30th November 2020 how often did you use the following types of personal protective equipment (PPE)/hygiene practices at work?<p>Eye protection (i.e. face shield or goggles)	2022-11-01T00:00:00	2022-11-01T00:00:00	1133	1133	35	1	1	1
28069	How often disposable medical gloves used at work between 1st March 2020 and 30th November 2020	0	0	0	21	11	0	0	0	0	0		991	1224	0	0	0	0	0	Question asked: At any time between 1st March 2020 and 30th November 2020 how often did you use the following types of personal protective equipment (PPE)/hygiene practices at work?<p>Disposable medical gloves	2022-11-01T00:00:00	2022-11-01T00:00:00	1133	1133	36	1	1	1
28070	How often disposable gowns/one-piece overalls used at work between 1st March 2020 and 30th November 2020	0	0	0	21	11	0	0	0	0	0		991	1224	0	0	0	0	0	Question asked: At any time between 1st March 2020 and 30th November 2020 how often did you use the following types of personal protective equipment (PPE)/hygiene practices at work?<p>Disposable gowns/one-piece overalls	2022-11-01T00:00:00	2022-11-01T00:00:00	1133	1133	37	1	1	1
28071	How often alcohol-based hand sanitiser used at work between 1st March 2020 and 30th November 2020	0	0	0	21	11	0	0	0	0	0		991	1224	0	0	0	0	0	Question asked: At any time between 1st March 2020 and 30th November 2020 how often did you use the following types of personal protective equipment (PPE)/hygiene practices at work?<p>Alcohol-based hand sanitiser	2022-11-01T00:00:00	2022-11-01T00:00:00	1133	1133	38	1	1	1
28072	How often soap and water used at work between 1st March 2020 and 30th November 2020	0	0	0	21	11	0	0	0	0	0		991	1224	0	0	0	0	0	Question asked: At any time between 1st March 2020 and 30th November 2020 how often did you use the following types of personal protective equipment (PPE)/hygiene practices at work?<p>Soap and water	2022-11-01T00:00:00	2022-11-01T00:00:00	1133	1133	39	1	1	1
28073	Days per week meeting friends and family at an outside venue between mid-March and the end of June (i.e the first UK lockdown)	0	0	0	21	11	0	0	0	0	0		991	1225	0	0	0	0	0	Question asked: Between mid-March and the end of June (i.e the first UK lockdown) how many days per week did you meet friends or family (who did not live in your home) at an outside venue (e.g. park or your/their garden)?	2022-11-01T00:00:00	2022-11-01T00:00:00	9952	9952	40	1	1	1
28074	Days per week meeting friends and family at an outside venue between the start of July and mid-September	0	0	0	21	11	0	0	0	0	0		991	1225	0	0	0	0	0	Question asked: Between the start of July and mid-September how many days per week did you meet friends or family (who did not live in your home) at an outside venue (e.g. park or your/their garden)?	2022-11-01T00:00:00	2022-11-01T00:00:00	9952	9952	41	1	1	1
28075	Days per week meeting friends and family at an outside venue between mid-September and the end of October	0	0	0	21	11	0	0	0	0	0		991	1225	0	0	0	0	0	Question asked: Between mid-September and the end of October how many days per week did you meet friends or family (who did not live in your home) at an outside venue (e.g. park or your/their garden)?	2022-11-01T00:00:00	2022-11-01T00:00:00	9952	9952	42	1	1	1
28076	Days per week meeting friends and family at an outside venue between the start of November and the start of December	0	0	0	21	11	0	0	0	0	0		991	1225	0	0	0	0	0	Question asked: Between the start of November and the start of December how many days per week did you meet friends or family (who did not live in your home) at an outside venue (e.g. park or your/their garden)?	2022-11-01T00:00:00	2022-11-01T00:00:00	9952	9952	43	1	1	1
28077	Days per week meeting friends and family at an inside venue between mid-March and the end of June (i.e the first UK lockdown)	0	0	0	21	11	0	0	0	0	0		991	1225	0	0	0	0	0	Question asked: Between mid-March and the end of June (i.e the first UK lockdown) how many days per week did you meet friends or family (who did not live in your home) at an inside venue (e.g. your/their home, community venue)?<br><i>Please think about venues other than a cafe/restaurant/pub/bar - these are considered in a separate question.</i>	2022-11-01T00:00:00	2022-11-01T00:00:00	9952	9952	44	1	1	1
28078	Days per week meeting friends and family at an inside venue between the start of July and mid-September	0	0	0	21	11	0	0	0	0	0		991	1225	0	0	0	0	0	Question asked: Between the start of July and mid-September how many days per week did you meet friends or family (who did not live in your home) at an inside venue (e.g. your/their home, community venue)?<br><i>Please think about venues other than a cafe/restaurant/pub/bar - these are considered in a separate question.</i>	2022-11-01T00:00:00	2022-11-01T00:00:00	9952	9952	45	1	1	1
28079	Days per week meeting friends and family at an inside venue between mid-September and the end of October	0	0	0	21	11	0	0	0	0	0		991	1225	0	0	0	0	0	Question asked: Between mid-September and the end of October how many days per week did you meet friends or family (who did not live in your home) at an inside venue (e.g. your/their home, community venue)?<br><i>Please think about venues other than a cafe/restaurant/pub/bar - these are considered in a separate question.</i>	2022-11-01T00:00:00	2022-11-01T00:00:00	9952	9952	46	1	1	1
28080	Days per week meeting friends and family at an inside venue between the start of November and the start of December	0	0	0	21	11	0	0	0	0	0		991	1225	0	0	0	0	0	Question asked: Between the start of November and the start of December how many days per week did you meet friends or family (who did not live in your home) at an inside venue (e.g. your/their home, community venue)?<br><i>Please think about venues other than a cafe/restaurant/pub/bar - these are considered in a separate question.</i>	2022-11-01T00:00:00	2022-11-01T00:00:00	9952	9952	47	1	1	1
28081	Left home between mid-March and the end of June (i.e the first UK lockdown) for reason other than paid work	0	0	0	21	11	0	0	0	0	0		991	100349	0	0	0	0	0	Question asked: Between mid-March and the end of June (i.e the first UK lockdown) did you leave your main home for any reason other than PAID work (if applicable)?	2022-11-01T00:00:00	2022-11-01T00:00:00	9952	9952	48	1	1	1
28082	Left home between the start of July and mid-September for reason other than paid work	0	0	0	21	11	0	0	0	0	0		991	100349	0	0	0	0	0	Question asked: Between the start of July and mid-September did you leave your main home for any reason other than PAID work (if applicable)?	2022-11-01T00:00:00	2022-11-01T00:00:00	9952	9952	49	1	1	1
28083	Left home between mid-September and the end of October for reason other than paid work	0	0	0	21	11	0	0	0	0	0		991	100349	0	0	0	0	0	Question asked: Between mid-September and the end of October did you leave your main home for any reason other than PAID work (if applicable)?	2022-11-01T00:00:00	2022-11-01T00:00:00	9952	9952	50	1	1	1
28084	Left home between the start of November and the start of December for reason other than paid work	0	0	0	21	11	0	0	0	0	0		991	100349	0	0	0	0	0	Question asked: Between the start of November and the start of December did you leave your main home for any reason other than PAID work (if applicable)?	2022-11-01T00:00:00	2022-11-01T00:00:00	9952	9952	51	1	1	1
28085	Left home between mid-March and the end of June (i.e the first UK lockdown) to go shopping	0	0	0	21	11	0	0	0	0	0		991	1225	0	0	0	0	0	Question asked: Between mid-March and the end of June (i.e the first UK lockdown) how many days per week did you typically leave your home to go shopping (e.g. supermarket, pharmacy, shopping centre)?	2022-11-01T00:00:00	2022-11-01T00:00:00	7831	7831	52	1	1	1
28086	Left home between the start of July and mid-September to go shopping	0	0	0	21	11	0	0	0	0	0		991	1225	0	0	0	0	0	Question asked: Between the start of July and mid-September how many days per week did you typically leave your home to go shopping (e.g. supermarket, pharmacy, shopping centre)?	2022-11-01T00:00:00	2022-11-01T00:00:00	8612	8612	53	1	1	1
28087	Left home between mid-September and the end of October to go shopping	0	0	0	21	11	0	0	0	0	0		991	1225	0	0	0	0	0	Question asked: Between mid-September and the end of October how many days per week did you typically leave your home to go shopping (e.g. supermarket, pharmacy, shopping centre)?	2022-11-01T00:00:00	2022-11-01T00:00:00	8422	8422	54	1	1	1
28088	Left home between the start of November and the start of December to go shopping	0	0	0	21	11	0	0	0	0	0		991	1225	0	0	0	0	0	Question asked: Between the start of November and the start of December how many days per week did you typically leave your home to go shopping (e.g. supermarket, pharmacy, shopping centre)?	2022-11-01T00:00:00	2022-11-01T00:00:00	8050	8050	55	1	1	1
28089	Left home between mid-March and the end of June (i.e the first UK lockdown) to visit a healthcare setting	0	0	0	21	11	0	0	0	0	0		991	1225	0	0	0	0	0	Question asked: Between mid-March and the end of June (i.e the first UK lockdown) how many days per week did you typically leave your home to visit a healthcare setting (e.g., GP, dentist, hospital)?	2022-11-01T00:00:00	2022-11-01T00:00:00	7831	7831	56	1	1	1
28090	Left home between the start of July and mid-September to visit a healthcare setting	0	0	0	21	11	0	0	0	0	0		991	1225	0	0	0	0	0	Question asked: Between the start of July and mid-September how many days per week did you typically leave your home to visit a healthcare setting (e.g., GP, dentist, hospital)?	2022-11-01T00:00:00	2022-11-01T00:00:00	8612	8612	57	1	1	1
28091	Left home between mid-September and the end of October to visit a healthcare setting	0	0	0	21	11	0	0	0	0	0		991	1225	0	0	0	0	0	Question asked: Between mid-September and the end of October how many days per week did you typically leave your home to visit a healthcare setting (e.g., GP, dentist, hospital)?	2022-11-01T00:00:00	2022-11-01T00:00:00	8422	8422	58	1	1	1
28092	Left home between the start of November and the start of December to visit a healthcare setting	0	0	0	21	11	0	0	0	0	0		991	1225	0	0	0	0	0	Question asked: Between the start of November and the start of December how many days per week did you typically leave your home to visit a healthcare setting (e.g., GP, dentist, hospital)?	2022-11-01T00:00:00	2022-11-01T00:00:00	8050	8050	59	1	1	1
28093	Left home between mid-March and the end of June (i.e the first UK lockdown) to eat or drink inside a cafe, restaurant or pub/bar	0	0	0	21	11	0	0	0	0	0		991	1225	0	0	0	0	0	Question asked: Between mid-March and the end of June (i.e the first UK lockdown) how many days per week did you typically leave your home to eat or drink INSIDE a cafe, restaurant or pub/bar?	2022-11-01T00:00:00	2022-11-01T00:00:00	7831	7831	60	1	1	1
28094	Left home between the start of July and mid-September to eat or drink inside a cafe, restaurant or pub/bar	0	0	0	21	11	0	0	0	0	0		991	1225	0	0	0	0	0	Question asked: Between the start of July and mid-September how many days per week did you typically leave your home to eat or drink INSIDE a cafe, restaurant or pub/bar?	2022-11-01T00:00:00	2022-11-01T00:00:00	8612	8612	61	1	1	1
28095	Left home between mid-September and the end of October to eat or drink inside a cafe, restaurant or pub/bar	0	0	0	21	11	0	0	0	0	0		991	1225	0	0	0	0	0	Question asked: Between mid-September and the end of October how many days per week did you typically leave your home to eat or drink INSIDE a cafe, restaurant or pub/bar?	2022-11-01T00:00:00	2022-11-01T00:00:00	8422	8422	62	1	1	1
28096	Left home between the start of November and the start of December to eat or drink inside a cafe, restaurant or pub/bar	0	0	0	21	11	0	0	0	0	0		991	1225	0	0	0	0	0	Question asked: Between the start of November and the start of December how many days per week did you typically leave your home to eat or drink INSIDE a cafe, restaurant or pub/bar?	2022-11-01T00:00:00	2022-11-01T00:00:00	8050	8050	63	1	1	1
28097	Main mode of transport between mid-March and the end of June (i.e the first UK lockdown)	0	0	0	21	11	0	0	0	0	0		991	1229	0	0	0	0	0	Question asked: When you were outside your home between mid-March and the end of June (i.e the first UK lockdown), what was your main mode of transportation?	2022-11-01T00:00:00	2022-11-01T00:00:00	7831	7831	64	1	1	1
28098	Main mode of transport between the start of July and mid-September	0	0	0	21	11	0	0	0	0	0		991	1229	0	0	0	0	0	Question asked: When you were outside your home between the start of July and mid-September, what was your main mode of transportation?	2022-11-01T00:00:00	2022-11-01T00:00:00	8612	8612	65	1	1	1
28099	Main mode of transport between mid-September and the end of October	0	0	0	21	11	0	0	0	0	0		991	1229	0	0	0	0	0	Question asked: When you were outside your home between mid-September and the end of October, what was your main mode of transportation?	2022-11-01T00:00:00	2022-11-01T00:00:00	8422	8422	66	1	1	1
28100	Main mode of transport between the start of November and the start of December	0	0	0	21	11	0	0	0	0	0		991	1229	0	0	0	0	0	Question asked: When you were outside your home between the start of November and the start of December, what was your main mode of transportation?	2022-11-01T00:00:00	2022-11-01T00:00:00	8050	8050	67	1	1	1
28101	How often face mask used when outside home between mid-March and the end of June (i.e the first UK lockdown)	0	0	0	21	11	0	0	0	0	0		991	1224	0	0	0	0	0	Question asked: When you were outside your home between mid-March and the end of June (i.e the first UK lockdown), how often did you use a face mask (including cloth face coverings, surgical masks or respirators (N95))?	2022-11-01T00:00:00	2022-11-01T00:00:00	7831	7831	68	1	1	1
28102	How often face mask used when outside home between the start of July and mid-September	0	0	0	21	11	0	0	0	0	0		991	1224	0	0	0	0	0	Question asked: When you were outside your home between the start of July and mid-September, how often did you use a face mask (including cloth face coverings, surgical masks or respirators (N95))?	2022-11-01T00:00:00	2022-11-01T00:00:00	8612	8612	69	1	1	1
28103	How often face mask used when outside home between mid-September and the end of October	0	0	0	21	11	0	0	0	0	0		991	1224	0	0	0	0	0	Question asked: When you were outside your home between mid-September and the end of October, how often did you use a face mask (including cloth face coverings, surgical masks or respirators (N95))?	2022-11-01T00:00:00	2022-11-01T00:00:00	8422	8422	70	1	1	1
28104	How often face mask used when outside home between the start of November and the start of December	0	0	0	21	11	0	0	0	0	0		991	1224	0	0	0	0	0	Question asked: When you were outside your home between the start of November and the start of December, how often did you use a face mask (including cloth face coverings, surgical masks or respirators (N95))?	2022-11-01T00:00:00	2022-11-01T00:00:00	8050	8050	71	1	1	1
28105	How often eye protection used when outside home between mid-March and the end of June (i.e the first UK lockdown)	0	0	0	21	11	0	0	0	0	0		991	1224	0	0	0	0	0	Question asked: When you were outside your home between mid-March and the end of June (i.e the first UK lockdown), how often did you use eye protection (i.e. face shield or goggles)?	2022-11-01T00:00:00	2022-11-01T00:00:00	7831	7831	72	1	1	1
28106	How often eye protection used when outside home between the start of July and mid-September	0	0	0	21	11	0	0	0	0	0		991	1224	0	0	0	0	0	Question asked: When you were outside your home between the start of July and mid-September, how often did you use eye protection (i.e. face shield or goggles)?	2022-11-01T00:00:00	2022-11-01T00:00:00	8612	8612	73	1	1	1
28107	How often eye protection used when outside home between mid-September and the end of October	0	0	0	21	11	0	0	0	0	0		991	1224	0	0	0	0	0	Question asked: When you were outside your home between mid-September and the end of October, how often did you use eye protection (i.e. face shield or goggles)?	2022-11-01T00:00:00	2022-11-01T00:00:00	8422	8422	74	1	1	1
28108	How often eye protection used when outside home between the start of November and the start of December	0	0	0	21	11	0	0	0	0	0		991	1224	0	0	0	0	0	Question asked: When you were outside your home between the start of November and the start of December, how often did you use eye protection (i.e. face shield or goggles)?	2022-11-01T00:00:00	2022-11-01T00:00:00	8050	8050	75	1	1	1
28109	How often disposable gloves worn when outside home between mid-March and the end of June (i.e the first UK lockdown)	0	0	0	21	11	0	0	0	0	0		991	1224	0	0	0	0	0	Question asked: When you were outside your home between mid-March and the end of June (i.e the first UK lockdown), how often did you wear disposable gloves?	2022-11-01T00:00:00	2022-11-01T00:00:00	7831	7831	76	1	1	1
28110	How often disposable gloves worn when outside home between the start of July and mid-September	0	0	0	21	11	0	0	0	0	0		991	1224	0	0	0	0	0	Question asked: When you were outside your home between the start of July and mid-September, how often did you wear disposable gloves?	2022-11-01T00:00:00	2022-11-01T00:00:00	8612	8612	77	1	1	1
28111	How often disposable gloves worn when outside home between mid-September and the end of October	0	0	0	21	11	0	0	0	0	0		991	1224	0	0	0	0	0	Question asked: When you were outside your home between mid-September and the end of October, how often did you wear disposable gloves?	2022-11-01T00:00:00	2022-11-01T00:00:00	8422	8422	78	1	1	1
28112	How often disposable gloves worn when outside home between the start of November and the start of December	0	0	0	21	11	0	0	0	0	0		991	1224	0	0	0	0	0	Question asked: When you were outside your home between the start of November and the start of December, how often did you wear disposable gloves?	2022-11-01T00:00:00	2022-11-01T00:00:00	8050	8050	79	1	1	1
28113	How often alcohol-based sanitiser used when outside home between mid-March and the end of June (i.e the first UK lockdown)	0	0	0	21	11	0	0	0	0	0		991	1224	0	0	0	0	0	Question asked: When you were outside your home between mid-March and the end of June (i.e the first UK lockdown), how often did you use alcohol-based hand sanitiser?	2022-11-01T00:00:00	2022-11-01T00:00:00	7831	7831	80	1	1	1
28114	How often alcohol-based sanitiser used when outside home between the start of July and mid-September	0	0	0	21	11	0	0	0	0	0		991	1224	0	0	0	0	0	Question asked: When you were outside your home between the start of July and mid-September, how often did you use alcohol-based hand sanitiser?	2022-11-01T00:00:00	2022-11-01T00:00:00	8612	8612	81	1	1	1
28115	How often alcohol-based sanitiser used when outside home between mid-September and the end of October	0	0	0	21	11	0	0	0	0	0		991	1224	0	0	0	0	0	Question asked: When you were outside your home between mid-September and the end of October, how often did you use alcohol-based hand sanitiser?	2022-11-01T00:00:00	2022-11-01T00:00:00	8422	8422	82	1	1	1
28116	How often alcohol-based sanitiser used when outside home between the start of November and the start of December	0	0	0	21	11	0	0	0	0	0		991	1224	0	0	0	0	0	Question asked: When you were outside your home between the start of November and the start of December, how often did you use alcohol-based hand sanitiser?	2022-11-01T00:00:00	2022-11-01T00:00:00	8050	8050	83	1	1	1
28117	Time in close contact with people between mid-March and the end of June (i.e the first UK lockdown)	0	0	0	21	11	0	0	0	0	0		991	1225	0	0	0	0	0	Question asked: Between mid-March and the end of June (i.e the first UK lockdown) how many days per week did you come into close contact (defined as face-to-face within 1 metre for 10 minutes or more) with people you were not living with?	2022-11-01T00:00:00	2022-11-01T00:00:00	7831	7831	84	1	1	1
28118	Time in close contact with people between the start of July and mid-September	0	0	0	21	11	0	0	0	0	0		991	1225	0	0	0	0	0	Question asked: Between the start of July and mid-September how many days per week did you come into close contact (defined as face-to-face within 1 metre for 10 minutes or more) with people you were not living with?	2022-11-01T00:00:00	2022-11-01T00:00:00	8612	8612	85	1	1	1
28119	Time in close contact with people between mid-September and the end of October	0	0	0	21	11	0	0	0	0	0		991	1225	0	0	0	0	0	Question asked: Between mid-September and the end of October how many days per week did you come into close contact (defined as face-to-face within 1 metre for 10 minutes or more) with people you were not living with?	2022-11-01T00:00:00	2022-11-01T00:00:00	8422	8422	86	1	1	1
28120	Time in close contact with people between the start of November and the start of December	0	0	0	21	11	0	0	0	0	0		991	1225	0	0	0	0	0	Question asked: Between the start of November and the start of December how many days per week did you come into close contact (defined as face-to-face within 1 metre for 10 minutes or more) with people you were not living with?	2022-11-01T00:00:00	2022-11-01T00:00:00	8050	8050	87	1	1	1
28121	Spent nights away from own home between 1st March 2020 and 30th November 2020	0	0	0	21	11	0	0	0	0	0		991	100352	0	0	0	0	0	Question asked: Between 1st March 2020 and 30th November 2020, did you spend any nights away from your own home?	2022-11-01T00:00:00	2022-11-01T00:00:00	9952	9952	88	1	1	1
28122	Nights spent in friend's or relative's home between 1st March 2020 and 30th November 2020	0	0	0	21	11	0	0	0	0	0		991	1223	0	0	0	0	0	Question asked: How many nights did you stay in a friend's or relative's home?	2022-11-01T00:00:00	2022-11-01T00:00:00	5117	5117	89	1	1	1
28123	Nights spent in hotel/guest house/bed and breakfast between 1st March 2020 and 30th November 2020	0	0	0	21	11	0	0	0	0	0		991	1223	0	0	0	0	0	Question asked: How many nights did you stay in a hotel/guest house/bed and breakfast?	2022-11-01T00:00:00	2022-11-01T00:00:00	5117	5117	90	1	1	1
28124	Nights spent in a second home between 1st March 2020 and 30th November 2020	0	0	0	21	11	0	0	0	0	0		991	1223	0	0	0	0	0	Question asked: How many nights did you stay in a second home?	2022-11-01T00:00:00	2022-11-01T00:00:00	5117	5117	91	1	1	1
28125	Nights spent in a hospital between 1st March 2020 and 30th November 2020	0	0	0	21	11	0	0	0	0	0		991	1223	0	0	0	0	0	Question asked: How many nights did you stay in a hospital (for any condition)?	2022-11-01T00:00:00	2022-11-01T00:00:00	5117	5117	92	1	1	1
28126	Nights spent in another place between 1st March 2020 and 30th November 2020	0	0	0	21	11	0	0	0	0	0		991	1223	0	0	0	0	0	Question asked: How many nights did you stay in another place?	2022-11-01T00:00:00	2022-11-01T00:00:00	5117	5117	93	1	1	1
28127	When SARS-CoV-2 exposure questionnaire completed	0	0	0	61	0	0	0	0	0	0		991	0	0	0	0	0	0	Date and time when online COVID-19 exposure questionnaire completed.	2022-11-01T00:00:00	2022-11-01T00:00:00	9952	9952	94	1	1	1
28140	Antibody test result	0	0	0	21	11	0	0	0	0	0		990	1854	0	0	0	0	0	Participants provided a blood sample using a Thriva coronavirus (COVID-19) antibody test kit, and returned it to the Pura Diagnostics laboratory where it was analysed for N antibodies to SARS-CoV-2 using the Roche Elecsys Anti-SARS-CoV-2. The results were returned to UK Biobank.<p>See ~R4496~ for the Overview document describing the coronavirus infection study.	2022-11-01T00:00:00	2022-11-01T00:00:00	9060	9060	1	1	1	1
28141	Date antibody sample analysed	0	0	0	51	0	0	0	0	0	0		990	0	0	0	0	0	0	Participants returned their completed antibody self-test sample to Pura Diagnostics laboratory (Thriva). This field records the date the result was obtained following analysis by the testing laboratory.	2022-11-01T00:00:00	2022-11-01T00:00:00	9060	9060	2	1	1	1
28142	Date antibody sample received	0	0	0	51	0	0	2	0	0	0		990	0	0	0	0	0	0	Participants returned their completed antibody self-test sample to Pura Diagnostics laboratory (Thriva). This field records the date of receipt by the laboratory.	2022-11-01T00:00:00	2022-11-01T00:00:00	9060	9060	3	1	1	1
28143	Date antibody test kit despatched	0	0	0	51	0	0	2	0	0	0		990	0	0	0	0	0	0	This field records the date of despatch that participants were sent a self-test Covid-19 antibody kit from Pura Diagnostics laboratory (Thriva).	2022-11-01T00:00:00	2022-11-01T00:00:00	9060	9060	4	1	1	1
28146	Self-reported date when antibody test sample was collected	0	0	0	51	0	0	0	0	0	0		989	1345	0	0	0	0	0	When participants were asked to complete the online symptom questionnaire they were asked to record the date on which they collected their self-test antibody kit sample.	2022-11-01T00:00:00	2022-11-07T00:00:00	8445	8445	7	1	1	1
28147	COVID-19 symptoms: Fever 38 degrees C or greater	0	0	0	21	11	0	0	0	0	0		989	1344	0	0	0	0	0	Question asked: "Which of the following symptoms that are commonly related to COVID-19 have you experienced since November 2020 (the date that we last collected samples for this study)?" <p>Participants could respond to each symptom by ticking 'yes', 'no', or 'I can't remember'. <p>The symptom for this Data-Field was: Fever 38 degrees C or greater.	2022-11-01T00:00:00	2022-11-01T00:00:00	8445	8445	1	1	1	1
28148	COVID-19 symptoms: Wheezing	0	0	0	21	11	0	0	0	0	0		989	1344	0	0	0	0	0	Question asked: "Which of the following symptoms that are commonly related to COVID-19 have you experienced since November 2020 (the date that we last collected samples for this study)?" <p>Participants could respond to each symptom by ticking 'yes', 'no', or 'I can't remember'. <p>The symptom for this Data-Field was: Wheezing.	2022-11-01T00:00:00	2022-11-01T00:00:00	8445	8445	2	1	1	1
28149	COVID-19 symptoms: Chills	0	0	0	21	11	0	0	0	0	0		989	1344	0	0	0	0	0	Question asked: "Which of the following symptoms that are commonly related to COVID-19 have you experienced since November 2020 (the date that we last collected samples for this study)?" <p>Participants could respond to each symptom by ticking 'yes', 'no', or 'I can't remember'. <p>The symptom for this Data-Field was: Chills.	2022-11-01T00:00:00	2022-11-01T00:00:00	8445	8445	3	1	1	1
28150	COVID-19 symptoms: Chest pain	0	0	0	21	11	0	0	0	0	0		989	1344	0	0	0	0	0	Question asked: "Which of the following symptoms that are commonly related to COVID-19 have you experienced since November 2020 (the date that we last collected samples for this study)?" <p>Participants could respond to each symptom by ticking 'yes', 'no', or 'I can't remember'. <p>The symptom for this Data-Field was: Chest pain.	2022-11-01T00:00:00	2022-11-01T00:00:00	8445	8445	4	1	1	1
28151	COVID-19 symptoms: Feeling more tired than usual	0	0	0	21	11	0	0	0	0	0		989	1344	0	0	0	0	0	Question asked: "Which of the following symptoms that are commonly related to COVID-19 have you experienced since November 2020 (the date that we last collected samples for this study)?" <p>Participants could respond to each symptom by ticking 'yes', 'no', or 'I can't remember'. <p>The symptom for this Data-Field was: Feeling more tired than usual.	2022-11-01T00:00:00	2022-11-01T00:00:00	8445	8445	5	1	1	1
28152	COVID-19 symptoms: Headache	0	0	0	21	11	0	0	0	0	0		989	1344	0	0	0	0	0	Question asked: "Which of the following symptoms that are commonly related to COVID-19 have you experienced since November 2020 (the date that we last collected samples for this study)?" <p>Participants could respond to each symptom by ticking 'yes', 'no', or 'I can't remember'. <p>The symptom for this Data-Field was: Headache.	2022-11-01T00:00:00	2022-11-01T00:00:00	8445	8445	6	1	1	1
28153	COVID-19 symptoms: Muscle ache	0	0	0	21	11	0	0	0	0	0		989	1344	0	0	0	0	0	Question asked: "Which of the following symptoms that are commonly related to COVID-19 have you experienced since November 2020 (the date that we last collected samples for this study)?" <p>Participants could respond to each symptom by ticking 'yes', 'no', or 'I can't remember'. <p>The symptom for this Data-Field was: Muscle ache.	2022-11-01T00:00:00	2022-11-01T00:00:00	8445	8445	7	1	1	1
28154	COVID-19 symptoms: Nausea/vomiting	0	0	0	21	11	0	0	0	0	0		989	1344	0	0	0	0	0	Question asked: "Which of the following symptoms that are commonly related to COVID-19 have you experienced since November 2020 (the date that we last collected samples for this study)?" <p>Participants could respond to each symptom by ticking 'yes', 'no', or 'I can't remember'. <p>The symptom for this Data-Field was: Nausea / Vomiting.	2022-11-01T00:00:00	2022-11-01T00:00:00	8445	8445	8	1	1	1
28155	COVID-19 symptoms: Sore throat	0	0	0	21	11	0	0	0	0	0		989	1344	0	0	0	0	0	Question asked: "Which of the following symptoms that are commonly related to COVID-19 have you experienced since November 2020 (the date that we last collected samples for this study)?" <p>Participants could respond to each symptom by ticking 'yes', 'no', or 'I can't remember'. <p>The symptom for this Data-Field was: Sore throat.	2022-11-01T00:00:00	2022-11-01T00:00:00	8445	8445	9	1	1	1
28156	COVID-19 symptoms: Abdominal pain	0	0	0	21	11	0	0	0	0	0		989	1344	0	0	0	0	0	Question asked: "Which of the following symptoms that are commonly related to COVID-19 have you experienced since November 2020 (the date that we last collected samples for this study)?" <p>Participants could respond to each symptom by ticking 'yes', 'no', or 'I can't remember'. <p>The symptom for this Data-Field was: Abdominal pain.	2022-11-01T00:00:00	2022-11-01T00:00:00	8445	8445	10	1	1	1
28157	COVID-19 symptoms: Persistent dry cough	0	0	0	21	11	0	0	0	0	0		989	1344	0	0	0	0	0	Question asked: "Which of the following symptoms that are commonly related to COVID-19 have you experienced since November 2020 (the date that we last collected samples for this study)?" <p>Participants could respond to each symptom by ticking 'yes', 'no', or 'I can't remember'. <p>The symptom for this Data-Field was: Persistent dry cough.	2022-11-01T00:00:00	2022-11-01T00:00:00	8445	8445	11	1	1	1
28158	COVID-19 symptoms: Diarrhoea	0	0	0	21	11	0	0	0	0	0		989	1344	0	0	0	0	0	Question asked: "Which of the following symptoms that are commonly related to COVID-19 have you experienced since November 2020 (the date that we last collected samples for this study)?" <p>Participants could respond to each symptom by ticking 'yes', 'no', or 'I can't remember'. <p>The symptom for this Data-Field was: Diarrhoea.	2022-11-01T00:00:00	2022-11-01T00:00:00	8445	8445	12	1	1	1
28159	COVID-19 symptoms: Runny nose	0	0	0	21	11	0	0	0	0	0		989	1344	0	0	0	0	0	Question asked: "Which of the following symptoms that are commonly related to COVID-19 have you experienced since November 2020 (the date that we last collected samples for this study)?" <p>Participants could respond to each symptom by ticking 'yes', 'no', or 'I can't remember'. <p>The symptom for this Data-Field was: Runny nose.	2022-11-01T00:00:00	2022-11-01T00:00:00	8445	8445	13	1	1	1
28160	COVID-19 symptoms: Loss of sense of small and taste	0	0	0	21	11	0	0	0	0	0		989	1344	0	0	0	0	0	Question asked: "Which of the following symptoms that are commonly related to COVID-19 have you experienced since November 2020 (the date that we last collected samples for this study)?" <p>Participants could respond to each symptom by ticking 'yes', 'no', or 'I can't remember'. <p>The symptom for this Data-Field was: Loss of sense of smell and taste.	2022-11-01T00:00:00	2022-11-01T00:00:00	8445	8445	14	1	1	1
28161	COVID-19 symptoms: Shortness of breath	0	0	0	21	11	0	0	0	0	0		989	1344	0	0	0	0	0	Question asked: "Which of the following symptoms that are commonly related to COVID-19 have you experienced since November 2020 (the date that we last collected samples for this study)?" <p>Participants could respond to each symptom by ticking 'yes', 'no', or 'I can't remember'. <p>The symptom for this Data-Field was: Shortness of breath.	2022-11-01T00:00:00	2022-11-01T00:00:00	8445	8445	15	1	1	1
28162	COVID-19 symptoms: Productive long-term cough ('wet' or chesty)	0	0	0	21	11	0	0	0	0	0		989	1344	0	0	0	0	0	Question asked: "Which of the following symptoms that are commonly related to COVID-19 have you experienced since November 2020 (the date that we last collected samples for this study)?" <p>Participants could respond to each symptom by ticking 'yes', 'no', or 'I can't remember'. <p>The symptom for this Data-Field was: Productive long-term cough ('wet' or chesty).	2022-11-01T00:00:00	2022-11-01T00:00:00	8445	8445	16	1	1	1
28163	COVID-19 symptoms requiring medical attention	0	0	0	21	11	0	0	0	0	0		989	7	0	0	0	0	0	If participants responded 'yes' to having experienced any of the symptoms listed in the online survey since November 2020, they were asked to respond 'yes' or 'no' to whether their symptoms required them to: <p>"seek medical attention, e.g. visit the GP, take a lateral flow or PCR test for coronavirus, etc."	2022-11-01T00:00:00	2022-11-01T00:00:00	8445	8445	17	1	1	1
28164	COVID-19 symptoms requiring self-isolation	0	0	0	21	11	0	0	0	0	0		989	7	0	0	0	0	0	If participants responded 'yes' to having experienced any of the symptoms listed in the online survey since November 2020, they were asked to respond 'yes' or 'no' to whether their symptoms required them to: <p>"self-isolate (when you do not leave your home because you have or might have coronavirus (COVID-19))?"	2022-11-01T00:00:00	2022-11-01T00:00:00	8445	8445	18	1	1	1
28165	COVID-19 symptoms requiring hospitalisation	0	0	0	21	11	0	0	0	0	0		989	7	0	0	0	0	0	If participants responded 'yes' to having experienced any of the symptoms listed in the online survey since November 2020, they were asked to respond 'yes' or 'no' as to whether their symptoms required them to: <p>"be hospitalised"	2022-11-01T00:00:00	2022-11-01T00:00:00	8445	8445	19	1	1	1
28166	Self-reported date of a positive COVID-19 test result	0	0	0	51	0	0	0	0	0	0		989	0	0	0	0	0	0	Participants were asked: "Have you ever had a positive PCR test result for COVID-19?" If they responded 'yes', they were asked to provide a date of that positive test result.	2022-11-01T00:00:00	2022-11-01T00:00:00	780	780	20	1	1	1
28167	Date online questionnaire completed	0	0	0	51	0	0	2	0	0	0		989	0	0	0	0	0	0	The date that the results of the COVID-19 symptoms questionnaire were submitted online.	2022-11-01T00:00:00	2022-11-01T00:00:00	8445	8445	21	1	1	1
28170	Home location, east coordinate (1km resolution), wave 1	0	0	1	11	0	0	0	0	0	0		995	1343	0	0	0	0	0	This location information is based on the postcode for the address the blood sampling kit was despatched to for wave 1.<p>The location co-ordinates use the Ordnance Survey (OSGB) reference, at a 1 kilometre resolution. This East co-ordinate needs to be used in conjunction with the North co-ordinate in ~F28171~. <p>For most purposes, grid co-ordinates rounded to a 1Km distance will provide sufficient information on location of residence at assessment. Research proposals that require location details to a finer level of granularity (i.e. 100m) should request ~F28172~ and ~F28173~, however special approval will be required to release the more detailed information.	2022-11-01T00:00:00	2022-11-01T00:00:00	11345	11345	1	1	1	1
28171	Home location, north coordinate (1km resolution), wave 1	0	0	1	11	0	0	0	0	0	0		995	1343	0	0	0	0	0	This location information is based on the postcode for the address the blood sampling kit was despatched to for wave 1.<p>The location co-ordinates use the Ordnance Survey (OSGB) reference, at a 1 kilometre resolution. This North co-ordinate needs to be used in conjunction with the East co-ordinate in ~F28170~. <p>For most purposes, grid co-ordinates rounded to a 1Km distance will provide sufficient information on location of residence at assessment. Research proposals that require location details to a finer level of granularity (i.e. 100m) should request ~F28172~ and ~F28173~, however special approval will be required to release the more detailed information.	2022-11-01T00:00:00	2022-11-01T00:00:00	11345	11345	2	1	1	1
28172	Home location, east coordinate (100m resolution), wave 1	0	0	1	11	0	0	0	0	0	0		995	0	0	0	0	0	0	This location information is based on the postcode for the address the blood sampling kit was despatched to for wave 1.<p>The location co-ordinates use the Ordnance Survey (OSGB) reference, at a 100 metre resolution. This East co-ordinate needs to be used in conjunction with the North co-ordinate in ~F28173~.<p>These grid co-ordinates (to a 100m accuracy) will only be released following special approval. For most purposes, grid co-ordinates rounded to a 1Km distance will provide sufficient information on location of residence at assessment. These rounded values are found in ~F28170~ and ~F28171~.	2022-11-01T00:00:00	2022-11-01T00:00:00	11345	11345	3	1	1	1
28173	Home location, north coordinate (100m resolution), wave 1	0	0	1	11	0	0	0	0	0	0		995	0	0	0	0	0	0	This location information is based on the postcode for the address the blood sampling kit was despatched to for wave 1.<p>The location co-ordinates use the Ordnance Survey (OSGB) reference, at a 100 metre resolution. This North co-ordinate needs to be used in conjunction with the East co-ordinate in ~F28172~.<p>These grid co-ordinates (to a 100m accuracy) will only be released following special approval. For most purposes, grid co-ordinates rounded to a 1Km distance will provide sufficient information on location of residence at assessment. These rounded values are found in ~F28170~ and ~F28171~.	2022-11-01T00:00:00	2022-11-01T00:00:00	11345	11345	4	1	1	1
28174	Any change of address, waves 1-6	0	0	0	21	11	0	0	0	0	0		995	1342	0	0	0	0	0	Identifies whether or not the participant's home address changed between waves 1-6.	2022-11-01T00:00:00	2022-11-01T00:00:00	11345	11345	5	1	1	1
28175	Home location, east co-ordinate (1km resolution), wave 7	0	0	1	11	0	0	3	0	0	0		994	1343	0	0	0	0	0	This location information is based on the postcode for the address the blood sampling kit was despatched to for wave 7.<p>The location co-ordinates use the Ordnance Survey (OSGB) reference, at a 1 kilometre resolution. This East co-ordinate needs to be used in conjunction with the North co-ordinate in ~F28176~. <p>For most purposes, grid co-ordinates rounded to a 1Km distance will provide sufficient information on location of residence at assessment. Research proposals that require location details to a finer level of granularity (i.e. 100m) should request ~F28177~ and ~F28178~, however special approval will be required to release the more detailed information.	2022-11-01T00:00:00	2022-11-01T00:00:00	10302	10302	1	1	1	1
28176	Home location, north co-ordinate (1km resolution), wave 7	0	0	1	11	0	0	3	0	0	0		994	1343	0	0	0	0	0	This location information is based on the postcode for the address the blood sampling kit was despatched to for wave 7.<p>The location co-ordinates use the Ordnance Survey (OSGB) reference, at a 1 kilometre resolution. This North co-ordinate needs to be used in conjunction with the East co-ordinate in ~F28175~. <p>For most purposes, grid co-ordinates rounded to a 1Km distance will provide sufficient information on location of residence at assessment. Research proposals that require location details to a finer level of granularity (i.e. 100m) should request ~F28177~ and ~F28178~, however special approval will be required to release the more detailed information.	2022-11-01T00:00:00	2022-11-01T00:00:00	10302	10302	2	1	1	1
28177	Home location, east co-ordinate (100m resolution), wave 7	0	0	1	11	0	0	3	0	0	0		994	0	0	0	0	0	0	This location information is based on the postcode for the address the blood sampling kit was despatched to for wave 7.<p>The location co-ordinates use the Ordnance Survey (OSGB) reference, at a 100 metre resolution. This East co-ordinate needs to be used in conjunction with the North co-ordinate in ~F28178~.<p>These grid co-ordinates (to a 100m accuracy) will only be released following special approval. For most purposes, grid co-ordinates rounded to a 1Km distance will provide sufficient information on location of residence at assessment. These rounded values are found in ~F28175~ and ~F28176~.	2022-11-01T00:00:00	2022-11-01T00:00:00	10302	10302	3	1	1	1
28178	Home location, north co-ordinate (100m resolution), wave 7	0	0	1	11	0	0	3	0	0	0		994	0	0	0	0	0	0	This location information is based on the postcode for the address the blood sampling kit was despatched to for wave 7.<p>The location co-ordinates use the Ordnance Survey (OSGB) reference, at a 100 metre resolution. This North co-ordinate needs to be used in conjunction with the East co-ordinate in ~F28177~.<p>These grid co-ordinates (to a 100m accuracy) will only be released following special approval. For most purposes, grid co-ordinates rounded to a 1Km distance will provide sufficient information on location of residence at assessment. These rounded values are found in ~F28175~ and ~F28176~.	2022-11-01T00:00:00	2022-11-01T00:00:00	10302	10302	4	1	1	1
28500	Average retinal nerve fibre layer thickness (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average retinal nerve fibre layer (RNFL) thickness across all subfields in the left eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	80305	80305	0	1	1	1
28501	Average retinal nerve fibre layer thickness (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average retinal nerve fibre layer (RNFL) thickness across all subfields in the right eye. The code used to generate this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	80755	80755	0	1	1	1
28502	Average inner nuclear layer thickness (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average inner nuclear layer (INL) thickness across all subfields in the left eye. The code used to generate this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	80305	80305	0	1	1	1
28503	Average inner nuclear layer thickness (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average inner nuclear layer (INL) thickness across all subfields in the right eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	80755	80755	0	1	1	1
28504	Average ganglion cell-inner plexiform layer thickness (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average ganglion cell-inner plexiform layer (GCIPL) thickness across all subfields in the left eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	80305	80305	0	1	1	1
28505	Average ganglion cell-inner plexiform layer thickness (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average ganglion cell-inner plexiform layer (GCIPL) thickness across all subfields in the right eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	80755	80755	0	1	1	1
28506	INL-ELM thickness of the central subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the inner nuclear layer (INL) to the external limiting membrane (ELM) of the central subfield in the left eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82848	82848	0	1	1	1
28507	INL-ELM thickness of the central subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the inner nuclear layer (INL) to the external limiting membrane (ELM) of the central subfield in the right eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82839	82839	0	1	1	1
28508	INL-ELM thickness of the inner subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the inner nuclear layer (INL) to the external limiting membrane (ELM) of the inner subfield in the left eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	81770	81770	0	1	1	1
28509	INL-ELM thickness of the inner subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the inner nuclear layer (INL) to the external limiting membrane (ELM) of the inner subfield in the right eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82368	82368	0	1	1	1
28510	INL-ELM thickness of the outer subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the inner nuclear layer (INL) to the external limiting membrane (ELM) of the outer subfield in the left eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	80305	80305	0	1	1	1
28511	INL-ELM thickness of the outer subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the inner nuclear layer (INL) to the external limiting membrane (ELM) of the outer subfield in the right eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	80755	80755	0	1	1	1
28512	Average INL-ELM thickness (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the inner nuclear layer (INL) to the external limiting membrane (ELM) across all subfields in the left eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	80305	80305	0	1	1	1
28513	Average INL-ELM thickness (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the inner nuclear layer (INL) to the external limiting membrane (ELM) across all subfields in the left eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	80755	80755	0	1	1	1
28514	ELM-ISOS thickness of central subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the external limiting membrane (ELM) to the inner and outer photoreceptor segments (ISOS) of the central subfield in the left eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82848	82848	0	1	1	1
28515	ELM-ISOS thickness of central subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the external limiting membrane (ELM) to the inner and outer photoreceptor segments (ISOS) of the central subfield in the right eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82839	82839	0	1	1	1
28516	ELM-ISOS thickness of inner subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the external limiting membrane (ELM) to the inner and outer photoreceptor segments (ISOS) of the inner subfield in the left eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	81770	81770	0	1	1	1
28517	ELM-ISOS thickness of inner subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the external limiting membrane (ELM) to the inner and outer photoreceptor segments (ISOS) of the inner subfield in the right eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82368	82368	0	1	1	1
28518	ELM-ISOS thickness of outer subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the external limiting membrane (ELM) to the inner and outer photoreceptor segments (ISOS) of the outer subfield in the left eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	80305	80305	0	1	1	1
28519	ELM-ISOS thickness of outer subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the external limiting membrane (ELM) to the inner and outer photoreceptor segments (ISOS) of the outer subfield in the right eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	80755	80755	0	1	1	1
28520	Average ELM-ISOS thickness (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the external limiting membrane (ELM) to the inner and outer photoreceptor segments (ISOS) across all subfields in the left eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	80305	80305	0	1	1	1
28521	Average ELM-ISOS thickness (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the external limiting membrane (ELM) to the inner and outer photoreceptor segments (ISOS) across all subfields in the left eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	80755	80755	0	1	1	1
28522	ISOS-RPE thickness of central subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the inner and outer photoreceptor segments (ISOS) to the retinal pigment epithelium (RPE) of the central subfield in the left eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82848	82848	0	1	1	1
28523	ISOS-RPE thickness of central subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the inner and outer photoreceptor segments (ISOS) to the retinal pigment epithelium (RPE) of the central subfield in the right eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82839	82839	0	1	1	1
28524	ISOS-RPE thickness of inner subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the inner and outer photoreceptor segments (ISOS) to the retinal pigment epithelium (RPE) of the inner subfield in the left eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	81770	81770	0	1	1	1
28525	ISOS-RPE thickness of inner subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the inner and outer photoreceptor segments (ISOS) to the retinal pigment epithelium (RPE) of the inner subfield in the right eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82368	82368	0	1	1	1
28526	ISOS-RPE thickness of outer subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the inner and outer photoreceptor segments (ISOS) to the retinal pigment epithelium (RPE) of the outer subfield in the left eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	80305	80305	0	1	1	1
28527	ISOS-RPE thickness of outer subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the inner and outer photoreceptor segments (ISOS) to the retinal pigment epithelium (RPE) of the outer subfield in the right eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	80755	80755	0	1	1	1
28528	Average ISOS-RPE thickness (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the inner and outer photoreceptor segments (ISOS) to the retinal pigment epithelium (RPE) across all subfields in the left eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	80305	80305	0	1	1	1
28529	Average ISOS-RPE thickness (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the inner and outer photoreceptor segments (ISOS) to the retinal pigment epithelium (RPE) across all subfields in the right eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	80755	80755	0	1	1	1
28530	INL-RPE thickness of central subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the inner nuclear layer (INL) to the retinal pigment epithelium (RPE) of the central subfield in the left eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82848	82848	0	1	1	1
28531	INL-RPE thickness of central subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the inner nuclear layer (INL) to the retinal pigment epithelium (RPE) of the central subfield in the right eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82839	82839	0	1	1	1
28532	INL-RPE thickness of inner subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the inner nuclear layer (INL) to the retinal pigment epithelium (RPE) of the inner subfield in the left eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	81770	81770	0	1	1	1
28533	INL-RPE thickness of inner subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the inner nuclear layer (INL) to the retinal pigment epithelium (RPE) of the inner subfield in the right eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82368	82368	0	1	1	1
28534	INL-RPE thickness of outer subfield (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the inner nuclear layer (INL) to the retinal pigment epithelium (RPE) of the outer subfield in the left eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	80305	80305	0	1	1	1
28535	INL-RPE thickness of outer subfield (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the inner nuclear layer (INL) to the retinal pigment epithelium (RPE) of the outer subfield in the right eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	80755	80755	0	1	1	1
28536	Average INL-RPE thickness (left)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the inner nuclear layer (INL) to the retinal pigment epithelium (RPE) across all subfields in the left eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	80305	80305	0	1	1	1
28537	Average INL-RPE thickness (right)	0	2	0	31	0	0	0	1	0	0	micrometres	100079	0	2	0	1	0	0	Average thickness measured between the inner nuclear layer (INL) to the retinal pigment epithelium (RPE) across all subfields in the right eye. The code used to generate the data in this field and the publication detailing the methods can be found in ~D1875~. Image source for measurements can be found in ~L100016~. Please be aware that these are the raw values generated by the Topcon Advanced Boundary Segmentation [TABS] software and should be quality controlled using the fields in ~L100116~.	2022-01-24T00:00:00	2022-01-27T00:00:00	80755	80755	0	1	1	1
28538	QC - Macula center frame (left)	0	2	0	11	0	0	0	1	0	0		100116	0	2	0	1	0	0	This field should be used to quality control the values generated by the Topcon Advanced Boundary Segmentation [TABS] software in ~L100079~. Information about how the research group who generated the values quality controlled them for their publication can be seen in ~D1875~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82848	82848	0	1	1	1
28539	QC - Macula center frame (right)	0	2	0	11	0	0	0	1	0	0		100116	0	2	0	1	0	0	This field should be used to quality control the values generated by the Topcon Advanced Boundary Segmentation [TABS] software in ~L100079~. Information about how the research group who generated the values quality controlled them for their publication can be seen in ~D1875~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82839	82839	0	1	1	1
28540	QC - Macula center aline (left)	0	2	0	11	0	0	0	1	0	0		100116	0	2	0	1	0	0	This field should be used to quality control the values generated by the Topcon Advanced Boundary Segmentation [TABS] software in ~L100079~. Information about how the research group who generated the values quality controlled them for their publication can be seen in ~D1875~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82848	82848	0	1	1	1
28541	QC - Macula center aline (right)	0	2	0	11	0	0	0	1	0	0		100116	0	2	0	1	0	0	This field should be used to quality control the values generated by the Topcon Advanced Boundary Segmentation [TABS] software in ~L100079~. Information about how the research group who generated the values quality controlled them for their publication can be seen in ~D1875~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82839	82839	0	1	1	1
28542	QC - ILM indicator (left)	0	2	0	31	0	0	0	1	0	0		100116	0	2	0	1	0	0	This field should be used to quality control the values generated by the Topcon Advanced Boundary Segmentation [TABS] software in ~L100079~. Information about how the research group who generated the values quality controlled them for their publication can be seen in ~D1875~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82848	82848	0	1	1	1
28543	QC - ILM indicator (right)	0	2	0	31	0	0	0	1	0	0		100116	0	2	0	1	0	0	This field should be used to quality control the values generated by the Topcon Advanced Boundary Segmentation [TABS] software in ~L100079~. Information about how the research group who generated the values quality controlled them for their publication can be seen in ~D1875~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82839	82839	0	1	1	1
28544	QC - Valid count (left)	0	2	0	11	0	0	0	1	0	0		100116	0	2	0	1	0	0	This field should be used to quality control the values generated by the Topcon Advanced Boundary Segmentation [TABS] software in ~L100079~. Information about how the research group who generated the values quality controlled them for their publication can be seen in ~D1875~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82848	82848	0	1	1	1
28545	QC - Valid count (right)	0	2	0	11	0	0	0	1	0	0		100116	0	2	0	1	0	0	This field should be used to quality control the values generated by the Topcon Advanced Boundary Segmentation [TABS] software in ~L100079~. Information about how the research group who generated the values quality controlled them for their publication can be seen in ~D1875~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82839	82839	0	1	1	1
28546	QC - Min motion correlation (left)	0	2	0	31	0	0	0	1	0	0		100116	0	2	0	1	0	0	This field should be used to quality control the values generated by the Topcon Advanced Boundary Segmentation [TABS] software in ~L100079~. Information about how the research group who generated the values quality controlled them for their publication can be seen in ~D1875~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82848	82848	0	1	1	1
28547	QC - Min motion correlation (right)	0	2	0	31	0	0	0	1	0	0		100116	0	2	0	1	0	0	This field should be used to quality control the values generated by the Topcon Advanced Boundary Segmentation [TABS] software in ~L100079~. Information about how the research group who generated the values quality controlled them for their publication can be seen in ~D1875~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82839	82839	0	1	1	1
28548	QC - Max motion delta (left)	0	2	0	31	0	0	0	1	0	0		100116	0	2	0	1	0	0	This field should be used to quality control the values generated by the Topcon Advanced Boundary Segmentation [TABS] software in ~L100079~. Information about how the research group who generated the values quality controlled them for their publication can be seen in ~D1875~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82848	82848	0	1	1	1
28549	QC - Max motion delta (right)	0	2	0	31	0	0	0	1	0	0		100116	0	2	0	1	0	0	This field should be used to quality control the values generated by the Topcon Advanced Boundary Segmentation [TABS] software in ~L100079~. Information about how the research group who generated the values quality controlled them for their publication can be seen in ~D1875~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82839	82839	0	1	1	1
28550	QC - Max motion factor (left)	0	2	0	31	0	0	0	1	0	0		100116	0	2	0	1	0	0	This field should be used to quality control the values generated by the Topcon Advanced Boundary Segmentation [TABS] software in ~L100079~. Information about how the research group who generated the values quality controlled them for their publication can be seen in ~D1875~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82848	82848	0	1	1	1
28551	QC - Max motion factor (right)	0	2	0	31	0	0	0	1	0	0		100116	0	2	0	1	0	0	This field should be used to quality control the values generated by the Topcon Advanced Boundary Segmentation [TABS] software in ~L100079~. Information about how the research group who generated the values quality controlled them for their publication can be seen in ~D1875~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82839	82839	0	1	1	1
28552	QC - Image quality (left)	0	2	0	31	0	0	0	1	0	0		100116	0	2	0	1	0	0	This field should be used to quality control the values generated by the Topcon Advanced Boundary Segmentation [TABS] software in ~L100079~. Information about how the research group who generated the values quality controlled them for their publication can be seen in ~D1875~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82848	82848	0	1	1	1
28553	QC - Image quality (right)	0	2	0	31	0	0	0	1	0	0		100116	0	2	0	1	0	0	This field should be used to quality control the values generated by the Topcon Advanced Boundary Segmentation [TABS] software in ~L100079~. Information about how the research group who generated the values quality controlled them for their publication can be seen in ~D1875~.	2022-01-24T00:00:00	2022-01-27T00:00:00	82839	82839	0	1	1	1
30000	White blood cell (leukocyte) count	0	0	0	31	0	0	0	1	0	0	10^9 cells/Litre	100081	0	2	0	2	0	0	Result of "White Blood Cell Count" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. White blood count is the number of leukocytes. <p> Analyser operating range was 0 to 9x10^11 cells/Litre. <p> Typical reference range is 3.5x10^9 to 9.6x10^9 cells/Litre.	2012-01-05T00:00:00	2016-02-23T00:00:00	479220	503312	0	2	1	2
30001	White blood cell (leukocyte) count freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "White Blood Cell Count" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	474767	474767	0	2	1	2
30002	White blood cell (leukocyte) count acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "White Blood Cell Count" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	479220	503312	0	2	1	2
30003	White blood cell (leukocyte) count device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure White blood cell (leukocyte) count	2012-01-05T00:00:00	2016-02-23T00:00:00	479220	503312	0	2	1	2
30004	White blood cell (leukocyte) count acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for White blood cell (leukocyte) count was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	479220	503312	0	2	1	2
30010	Red blood cell (erythrocyte) count	0	0	0	31	0	0	0	1	0	0	10^12 cells/Litre	100081	0	2	0	2	0	0	Result of "Red Blood Cell Count" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Red blood cells is the number of erythrocytes. <p> Analyser operating range was 0 to 2x10^13 cells/Litre. <p> Typical reference range is 3.9x10^12 to 5.5x10^12 cells/Litre.	2012-01-05T00:00:00	2016-02-23T00:00:00	479225	503316	0	2	1	2
30011	Red blood cell (erythrocyte) count freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Red Blood Cell Count" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	474772	474772	0	2	1	2
30012	Red blood cell (erythrocyte) count acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Red Blood Cell Count" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	479225	503316	0	2	1	2
30013	Red blood cell (erythrocyte) count device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Red blood cell (erythrocyte) count	2012-01-05T00:00:00	2016-02-23T00:00:00	479225	503316	0	2	1	2
30014	Red blood cell (erythrocyte) count acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Red blood cell (erythrocyte) count was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	479225	503316	0	2	1	2
30020	Haemoglobin concentration	0	0	0	31	0	0	0	1	0	0	grams/decilitre	100081	0	2	0	2	0	0	Result of "Haemoglobin Concentration" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. <p> Analyser operating range was 0 to 99.9g/dL <p> Typical reference range is 12.1 to 16.3g/dL	2012-01-05T00:00:00	2016-02-23T00:00:00	479224	503318	0	2	1	2
30021	Haemoglobin concentration freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Haemoglobin Concentration" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	474772	474772	0	2	1	2
30022	Haemoglobin concentration acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Haemoglobin Concentration" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	479224	503318	0	2	1	2
30023	Haemoglobin concentration device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Haemoglobin concentration	2012-01-05T00:00:00	2016-02-23T00:00:00	479224	503318	0	2	1	2
30024	Haemoglobin concentration acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Haemoglobin concentration was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	479224	503318	0	2	1	2
30030	Haematocrit percentage	0	0	0	31	0	0	0	1	0	0	percent	100081	0	2	0	2	0	0	Result of "Haematocrit" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Haematocrit Percentage is the relative volume of packed erythrocytes to whole blood, computed by the formula: (red blood cells x mean corpuscular volume) / 10. <p> Analyser operating range was 0 to 99.9% <p> Typical reference range is 35.4 to 47.2%	2012-01-05T00:00:00	2016-03-22T00:00:00	479225	503318	0	2	1	2
30031	Haematocrit freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Haematocrit" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	474772	474772	0	2	1	2
30032	Haematocrit acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Haematocrit" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	479225	503318	0	2	1	2
30033	Haematocrit percentage device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Haematocrit percentage	2012-01-05T00:00:00	2016-02-23T00:00:00	479225	503318	0	2	1	2
30034	Haematocrit percentage acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Haematocrit percentage was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	479225	503318	0	2	1	2
30040	Mean corpuscular volume	0	0	0	31	0	0	0	1	0	0	femtolitres	100081	0	2	0	2	0	0	Result of "Mean Corpuscular Volume" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Mean Corpuscular Haemoglobin Concentration (pg) is the weight of hemoglobin in the average erythrocyte, computed by the formula: MCH = (hemoglobin/red blood cells) x 10.	2012-01-05T00:00:00	2016-02-23T00:00:00	479224	503316	0	2	1	2
30041	Mean corpuscular volume freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Mean Corpuscular Volume" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	474770	474770	0	2	1	2
30042	Mean corpuscular volume acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Mean Corpuscular Volume" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	479224	503316	0	2	1	2
30043	Mean corpuscular volume device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Mean corpuscular volume	2012-01-05T00:00:00	2016-02-23T00:00:00	479224	503316	0	2	1	2
30044	Mean corpuscular volume acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Mean corpuscular volume was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	479224	503316	0	2	1	2
30050	Mean corpuscular haemoglobin	0	0	0	31	0	0	0	1	0	0	picograms	100081	0	2	0	2	0	0	Result of "Mean Corpuscular Haemoglobin" assay, performed on blood sample, obtained from UK Biobank assessment centre visit.	2012-01-05T00:00:00	2016-03-22T00:00:00	479221	503312	0	2	1	2
30051	Mean corpuscular haemoglobin freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Mean Corpuscular Haemoglobin" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	474769	474769	0	2	1	2
30052	Mean corpuscular haemoglobin acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Mean Corpuscular Haemoglobin" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	479221	503312	0	2	1	2
30053	Mean corpuscular haemoglobin device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Mean corpuscular haemoglobin	2012-01-05T00:00:00	2016-02-23T00:00:00	479221	503312	0	2	1	2
30054	Mean corpuscular haemoglobin acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Mean corpuscular haemoglobin was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	479221	503312	0	2	1	2
30060	Mean corpuscular haemoglobin concentration	0	0	0	31	0	0	0	1	0	0	grams/decilitre	100081	0	2	0	2	0	0	Result of "Mean Corpuscular Haemoglobin Concentration" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Mean Corpuscular Haemoglobin Concentration (g/dL) is the average weight of haemoglobin in a measured dilution, computed by the formula: (haemoglobin/haematocrit) x 100.	2012-01-05T00:00:00	2016-03-22T00:00:00	479218	503308	0	2	1	2
30061	Mean corpuscular haemoglobin concentration freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Mean Corpuscular Haemoglobin Concentration" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	474765	474765	0	2	1	2
30062	Mean corpuscular haemoglobin concentration acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Mean Corpuscular Haemoglobin Concentration" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	479218	503308	0	2	1	2
30063	Mean corpuscular haemoglobin concentration device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Mean corpuscular haemoglobin concentration	2012-01-05T00:00:00	2016-02-23T00:00:00	479218	503308	0	2	1	2
30064	Mean corpuscular haemoglobin concentration acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Mean corpuscular haemoglobin concentration was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	479218	503308	0	2	1	2
30070	Red blood cell (erythrocyte) distribution width	0	0	0	31	0	0	0	1	0	0	percent	100081	0	2	0	2	0	0	Result of "Red Distribution Width" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Red blood cell Distribution Width is the size distribution spread of the erythrocyte population derived from the red blood cell histogram. It is the coefficient of variation (CV) expressed in % of the red blood cell size distribution.	2012-01-05T00:00:00	2016-02-23T00:00:00	479224	503316	0	2	1	2
30071	Red blood cell (erythrocyte) distribution width freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Red Distribution Width" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	474770	474770	0	2	1	2
30072	Red blood cell (erythrocyte) distribution width acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Red Distribution Width" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	479224	503316	0	2	1	2
30073	Red blood cell (erythrocyte) distribution width device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Red blood cell (erythrocyte) distribution width	2012-01-05T00:00:00	2016-02-23T00:00:00	479224	503316	0	2	1	2
30074	Red blood cell (erythrocyte) distribution width acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Red blood cell (erythrocyte) distribution width was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	479224	503316	0	2	1	2
30080	Platelet count	0	0	0	31	0	0	0	1	0	0	10^9 cells/Litre	100081	0	2	0	2	0	0	Result of "Platelet Count" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Platelet count is the number of thrombocytes derived from the platelet histogram.	2012-01-05T00:00:00	2016-02-23T00:00:00	479221	503315	0	2	1	2
30081	Platelet count freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Platelet Count" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	474769	474769	0	2	1	2
30082	Platelet count acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Platelet Count" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	479221	503315	0	2	1	2
30083	Platelet count device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Platelet count	2012-01-05T00:00:00	2016-02-23T00:00:00	479221	503315	0	2	1	2
30084	Platelet count acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Platelet count was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	479221	503315	0	2	1	2
30090	Platelet crit	0	0	0	31	0	0	0	1	0	0	percent	100081	0	2	0	2	0	0	Result of "Platelet Crit" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Platelet Crit is a computed value that represents the platelet packed cell volume.	2012-01-05T00:00:00	2016-02-23T00:00:00	479007	497642	0	2	1	2
30091	Platelet crit freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Platelet Crit" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	474765	474765	0	2	1	2
30092	Platelet crit acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Platelet Crit" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	479007	497642	0	2	1	2
30093	Platelet crit device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Platelet crit	2012-01-05T00:00:00	2016-02-23T00:00:00	479007	497642	0	2	1	2
30094	Platelet crit acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Platelet crit was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	479007	497642	0	2	1	2
30100	Mean platelet (thrombocyte) volume	0	0	0	31	0	0	0	1	0	0	femtolitres	100081	0	2	0	2	0	0	Result of "Mean Platelet Volume" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Mean Platelet Volume is the average volume of individual platelets derived from the platelet histogram.	2012-01-05T00:00:00	2016-02-23T00:00:00	479216	503308	0	2	1	2
30101	Mean platelet (thrombocyte) volume freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Mean Platelet Volume" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	474764	474764	0	2	1	2
30102	Mean platelet (thrombocyte) volume acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Mean Platelet Volume" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	479216	503308	0	2	1	2
30103	Mean platelet (thrombocyte) volume device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Mean platelet (thrombocyte) volume	2012-01-05T00:00:00	2016-02-23T00:00:00	479216	503308	0	2	1	2
30104	Mean platelet (thrombocyte) volume acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Mean platelet (thrombocyte) volume was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	479216	503308	0	2	1	2
30110	Platelet distribution width	0	0	0	31	0	0	0	1	0	0	percent	100081	0	2	0	2	0	0	Result of "Platelet Distribution Width" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Platelet Distribution Width is the coefficient of variation of platelet size.	2012-01-05T00:00:00	2016-02-23T00:00:00	479006	497641	0	2	1	2
30111	Platelet distribution width freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Platelet Distribution Width" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	474764	474764	0	2	1	2
30112	Platelet distribution width acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Platelet Distribution Width" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	479006	497641	0	2	1	2
30113	Platelet distribution width device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Platelet distribution width	2012-01-05T00:00:00	2016-02-23T00:00:00	479006	497641	0	2	1	2
30114	Platelet distribution width acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Platelet distribution width was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	479006	497641	0	2	1	2
30120	Lymphocyte count	0	0	0	31	0	0	0	1	0	0	10^9 cells/Litre	100081	0	2	0	2	0	0	Result of "Lymphocytes Number" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Lymphocyte count is the proportion of ( lymphoctyes / 100 ) x white blood cell count	2012-01-05T00:00:00	2016-03-22T00:00:00	478357	502410	0	2	1	2
30121	Lymphocyte count freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Lymphocytes Number" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	473885	473885	0	2	1	2
30122	Lymphocyte count acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Lymphocytes Number" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	478357	502410	0	2	1	2
30123	Lymphocyte count device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Lymphocyte count	2012-01-05T00:00:00	2016-02-23T00:00:00	478357	502410	0	2	1	2
30124	Lymphocyte count acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Lymphocyte count was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	478357	502410	0	2	1	2
30130	Monocyte count	0	0	0	31	0	0	0	1	0	0	10^9 cells/Litre	100081	0	2	0	2	0	0	Result of "Monocytes Number" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Monocyte count is the proportion of ( monoctyes / 100 ) x white blood cell count.	2012-01-05T00:00:00	2016-03-22T00:00:00	478357	502410	0	2	1	2
30131	Monocyte count freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Monocytes Number" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	473879	473879	0	2	1	2
30132	Monocyte count acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Monocytes Number" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	478357	502410	0	2	1	2
30133	Monocyte count device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Monocyte count	2012-01-05T00:00:00	2016-02-23T00:00:00	478357	502410	0	2	1	2
30134	Monocyte count acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Monocyte count was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	478357	502410	0	2	1	2
30140	Neutrophill count	0	0	0	31	0	0	0	1	0	0	10^9 cells/Litre	100081	0	2	0	2	0	0	Result of "Neutrophils Number" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Neutrophils count is the proportion of ( neutrophils / 100 ) x white blood cell count.	2012-01-05T00:00:00	2016-03-22T00:00:00	478357	502410	0	2	1	2
30141	Neutrophill count freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Neutrophils Number" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	473885	473885	0	2	1	2
30142	Neutrophill count acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Neutrophils Number" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	478357	502410	0	2	1	2
30143	Neutrophill count device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Neutrophill count	2012-01-05T00:00:00	2016-02-23T00:00:00	478357	502410	0	2	1	2
30144	Neutrophill count acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Neutrophill count was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	478357	502410	0	2	1	2
30150	Eosinophill count	0	0	0	31	0	0	0	1	0	0	10^9 cells/Litre	100081	0	2	0	2	0	0	Result of "Eosinophils Number" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Eosinophils count is the proportion of ( eosinophils / 100 ) x white blood cell count.	2012-01-05T00:00:00	2016-03-22T00:00:00	478357	502410	0	2	1	2
30151	Eosinophill count freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Eosinophils Number" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	473781	473781	0	2	1	2
30152	Eosinophill count acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Eosinophils Number" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	478357	502410	0	2	1	2
30153	Eosinophill count device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Eosinophill count	2012-01-05T00:00:00	2016-02-23T00:00:00	478357	502410	0	2	1	2
30154	Eosinophill count acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Eosinophill count was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	478357	502410	0	2	1	2
30160	Basophill count	0	0	0	31	0	0	0	1	0	0	10^9 cells/Litre	100081	0	2	0	2	0	0	Result of "Basophils Number" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Basophils count is the proportion of ( basophils / 100 ) x white blood cell count.	2012-01-05T00:00:00	2016-03-22T00:00:00	478357	502410	0	2	1	2
30161	Basophill count freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Basophils Number" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	472827	472827	0	2	1	2
30162	Basophill count acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Basophils Number" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	478357	502410	0	2	1	2
30163	Basophill count device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Basophill count	2012-01-05T00:00:00	2016-02-23T00:00:00	478357	502410	0	2	1	2
30164	Basophill count acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Basophill count was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	478357	502410	0	2	1	2
30170	Nucleated red blood cell count	0	0	0	31	0	0	0	1	0	0	10^9 cells/Litre	100081	0	2	0	2	0	0	Result of "Nucleated Red Blood Cells Number" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Nucleated Red Blood Cells count is calculated as: Nucleated Red Blood Cells (percentage) x white blood cell count .	2012-01-05T00:00:00	2016-03-22T00:00:00	478131	496721	0	2	1	2
30171	Nucleated red blood cell count freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Nucleated Red Blood Cells Number" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	472545	472545	0	2	1	2
30172	Nucleated red blood cell count acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Nucleated Red Blood Cells Number" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	478131	496721	0	2	1	2
30173	Nucleated red blood cell count device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Nucleated red blood cell count	2012-01-05T00:00:00	2016-02-23T00:00:00	478131	496721	0	2	1	2
30174	Nucleated red blood cell count acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Nucleated red blood cell count was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	478131	496721	0	2	1	2
30180	Lymphocyte percentage	0	0	0	31	0	0	0	1	0	0	percent	100081	0	2	0	2	0	0	Result of "Lymphocytes Percentage" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Lymphocytes (Percentage) is calculated as the proportion of lymphocytes in the leukocytes.	2012-01-05T00:00:00	2016-02-23T00:00:00	478362	502417	0	2	1	2
30181	Lymphocyte percentage freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Lymphocytes Percentage" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	473891	473891	0	2	1	2
30182	Lymphocyte percentage acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Lymphocytes Percentage" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	478362	502417	0	2	1	2
30183	Lymphocyte percentage device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Lymphocyte percentage	2012-01-05T00:00:00	2016-02-23T00:00:00	478362	502417	0	2	1	2
30184	Lymphocyte percentage acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Lymphocyte percentage was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	478362	502417	0	2	1	2
30190	Monocyte percentage	0	0	0	31	0	0	0	1	0	0	percent	100081	0	2	0	2	0	0	Result of "Monocytes Percentage" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Monocytes (percentage) is calculated as the proportion of monocytes in the leukocytes.	2012-01-05T00:00:00	2016-02-23T00:00:00	478362	502417	0	2	1	2
30191	Monocyte percentage freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Monocytes Percentage" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	473890	473890	0	2	1	2
30192	Monocyte percentage acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Monocytes Percentage" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	478362	502417	0	2	1	2
30193	Monocyte percentage device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Monocyte percentage	2012-01-05T00:00:00	2016-02-23T00:00:00	478362	502417	0	2	1	2
30194	Monocyte percentage acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Monocyte percentage was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	478362	502417	0	2	1	2
30200	Neutrophill percentage	0	0	0	31	0	0	0	1	0	0	percent	100081	0	2	0	2	0	0	Result of "Neutrophils Percentage" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Neutrophils (Percentage) is calculated as the proportion of neutrophils in the leukocytes.	2012-01-05T00:00:00	2016-02-23T00:00:00	478362	502417	0	2	1	2
30201	Neutrophill percentage freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Neutrophils Percentage" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	473891	473891	0	2	1	2
30202	Neutrophill percentage acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Neutrophils Percentage" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	478362	502417	0	2	1	2
30203	Neutrophill percentage device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Neutrophill percentage	2012-01-05T00:00:00	2016-02-23T00:00:00	478362	502417	0	2	1	2
30204	Neutrophill percentage acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Neutrophill percentage was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	478362	502417	0	2	1	2
30210	Eosinophill percentage	0	0	0	31	0	0	0	1	0	0	percent	100081	0	2	0	2	0	0	Result of "Eosinophils Percentage" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Eosinophils (Percentage) is calculated as the proportion of eosinophils in the leukocytes.	2012-01-05T00:00:00	2016-02-23T00:00:00	478362	502417	0	2	1	2
30211	Eosinophill percentage freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Eosinophils Percentage" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	473887	473887	0	2	1	2
30212	Eosinophill percentage acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Eosinophils Percentage" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	478362	502417	0	2	1	2
30213	Eosinophill percentage device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Eosinophill percentage	2012-01-05T00:00:00	2016-02-23T00:00:00	478362	502417	0	2	1	2
30214	Eosinophill percentage acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Eosinophill percentage was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	478362	502417	0	2	1	2
30220	Basophill percentage	0	0	0	31	0	0	0	1	0	0	percent	100081	0	2	0	2	0	0	Result of "Basophils Percentage" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Basophils (Percentage) is calculated as the proportion of basophils in the leukocytes.	2012-01-05T00:00:00	2016-02-23T00:00:00	478362	502417	0	2	1	2
30221	Basophill percentage freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Basophils Percentage" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	473871	473871	0	2	1	2
30222	Basophill percentage acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Basophils Percentage" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	478362	502417	0	2	1	2
30223	Basophill percentage device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Basophill percentage	2012-01-05T00:00:00	2016-02-23T00:00:00	478362	502417	0	2	1	2
30224	Basophill percentage acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Basophill percentage was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	478362	502417	0	2	1	2
30230	Nucleated red blood cell percentage	0	0	0	31	0	0	0	1	0	0	percent	100081	0	2	0	2	0	0	Result of "Nucleated Red Blood Cells Percentage" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Nucleated Red Blood Cells (Percentage) is defined as the number of nucleated red blood cells per 100 white blood cells.	2012-01-05T00:00:00	2016-02-23T00:00:00	478127	496717	0	2	1	2
30231	Nucleated red blood cell percentage freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Nucleated Red Blood Cells Percentage" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	472546	472546	0	2	1	2
30232	Nucleated red blood cell percentage acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Nucleated Red Blood Cells Percentage" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	478132	496722	0	2	1	2
30233	Nucleated red blood cell percentage device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Nucleated red blood cell percentage	2012-01-05T00:00:00	2016-02-23T00:00:00	478132	496722	0	2	1	2
30234	Nucleated red blood cell percentage acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Nucleated red blood cell percentage was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	478132	496722	0	2	1	2
30240	Reticulocyte percentage	0	0	0	31	0	0	0	1	0	0	percent	100081	0	2	0	2	0	0	Result of "Reticulocytes Percentage" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Reticulocytes (Percentage) is the number of reticulocytes as a percentage of red blood cells.	2012-01-05T00:00:00	2016-02-23T00:00:00	471174	494584	0	2	1	2
30241	Reticulocyte percentage freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Reticulocytes Percentage" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	466596	466596	0	2	1	2
30242	Reticulocyte percentage acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Reticulocytes Percentage" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	471174	494584	0	2	1	2
30243	Reticulocyte percentage device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Reticulocyte percentage	2012-01-05T00:00:00	2016-02-23T00:00:00	471174	494584	0	2	1	2
30244	Reticulocyte percentage acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Reticulocyte percentage was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	471174	494584	0	2	1	2
30250	Reticulocyte count	0	0	0	31	0	0	0	1	0	0	10^12 cells/Litre	100081	0	2	0	2	0	0	Result of "Reticulocytes Number" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Reticulocytes count is computed from the reticulocyte per cent multiplied by the red blood cell count.	2012-01-05T00:00:00	2016-02-23T00:00:00	471174	494585	0	2	1	2
30251	Reticulocyte count freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Reticulocytes Number" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	466596	466596	0	2	1	2
30252	Reticulocyte count acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Reticulocytes Number" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	471174	494585	0	2	1	2
30253	Reticulocyte count device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Reticulocyte count	2012-01-05T00:00:00	2016-02-23T00:00:00	471174	494585	0	2	1	2
30254	Reticulocyte count acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Reticulocyte count was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	471174	494585	0	2	1	2
30260	Mean reticulocyte volume	0	0	0	31	0	0	0	1	0	0	femtolitres	100081	0	2	0	2	0	0	Result of "Mean Reticulocytes Volume" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Mean Reticulocytes volume is the average volume of all reticulocytes, calculated from the reticulocytes (percentage).	2012-01-05T00:00:00	2016-02-23T00:00:00	471173	494585	0	2	1	2
30261	Mean reticulocyte volume freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Mean Reticulocytes Volume" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	466595	466595	0	2	1	2
30262	Mean reticulocyte volume acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Mean Reticulocytes Volume" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	471173	494585	0	2	1	2
30263	Mean reticulocyte volume device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Mean reticulocyte volume	2012-01-05T00:00:00	2016-02-23T00:00:00	471173	494585	0	2	1	2
30264	Mean reticulocyte volume acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Mean reticulocyte volume was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	471173	494585	0	2	1	2
30270	Mean sphered cell volume	0	0	0	31	0	0	0	1	0	0	femtolitres	100081	0	2	0	2	0	0	Result of "Mean Sphered Cells Volume" assay, performed on blood sample, obtained from UK Biobank assessment centre visit.	2012-01-05T00:00:00	2016-02-23T00:00:00	470914	489017	0	2	1	2
30271	Mean sphered cell volume freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Mean Sphered Cells Volume" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	466597	466597	0	2	1	2
30272	Mean sphered cell volume acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Mean Sphered Cells Volume" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	470914	489017	0	2	1	2
30273	Mean sphered cell volume device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Mean sphered cell volume	2012-01-05T00:00:00	2016-02-23T00:00:00	470914	489017	0	2	1	2
30274	Mean sphered cell volume acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Mean sphered cell volume was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	470914	489017	0	2	1	2
30280	Immature reticulocyte fraction	0	0	0	31	0	0	0	1	0	0	ratio	100081	0	2	0	2	0	0	Result of "Immature Reticulocytes Fraction" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. Immature Reticulocytes Fraction (Percentage) is an indication of new reticulocyte synthesis and is calculated from the reticulocytes (Percentage) as the total number of reticulocyte events in the outermost light scattering region, corresponding to immature reticulocytes, relative to the total number of reticulocytes and is reported as this ratio.	2012-01-05T00:00:00	2016-02-23T00:00:00	470912	489015	0	2	1	2
30281	Immature reticulocyte fraction freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "Immature Reticulocytes Fraction" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	466595	466595	0	2	1	2
30282	Immature reticulocyte fraction acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "Immature Reticulocytes Fraction" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	470912	489015	0	2	1	2
30283	Immature reticulocyte fraction device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure Immature reticulocyte fraction	2012-01-05T00:00:00	2016-02-23T00:00:00	470912	489015	0	2	1	2
30284	Immature reticulocyte fraction acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for Immature reticulocyte fraction was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	470912	489015	0	2	1	2
30290	High light scatter reticulocyte percentage	0	0	0	31	0	0	0	1	0	0	percent	100081	0	2	0	2	0	0	Result of "High Light Scatter Reticulocytes Percentage" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. High Light Scatter Reticulocytes (Percentage) is computed as: (HLR / Total Erythrocytes) x 100.	2012-01-05T00:00:00	2016-02-23T00:00:00	470914	489017	0	2	1	2
30291	High light scatter reticulocyte percentage freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "High Light Scatter Reticulocytes Percentage" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	466597	466597	0	2	1	2
30292	High light scatter reticulocyte percentage acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "High Light Scatter Reticulocytes Percentage" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	470914	489017	0	2	1	2
30293	High light scatter reticulocyte percentage device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure High light scatter reticulocyte percentage	2012-01-05T00:00:00	2016-02-23T00:00:00	470914	489017	0	2	1	2
30294	High light scatter reticulocyte percentage acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for High light scatter reticulocyte percentage was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	470914	489017	0	2	1	2
30300	High light scatter reticulocyte count	0	0	0	31	0	0	0	1	0	0	10^12 cells/Litre	100081	0	2	0	2	0	0	Result of "High Light Scatter Reticulocytes Number" assay, performed on blood sample, obtained from UK Biobank assessment centre visit. High Light Scatter Reticulocytes Count is calculated as: (HLR / Total Erythrocytes) x red blood cells	2012-01-05T00:00:00	2016-02-23T00:00:00	470913	489016	0	2	1	2
30301	High light scatter reticulocyte count freeze-thaw cycles	0	0	0	11	0	0	2	1	0	0		9081	0	2	0	0	0	0	Number of freeze-thaw cycles sample went through before "High Light Scatter Reticulocytes Number" assay was performed (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2012-03-22T00:00:00	466596	466596	0	2	1	2
30302	High light scatter reticulocyte count acquisition time	0	0	0	61	0	0	2	1	0	0		9081	0	2	0	2	0	0	Original collection time of sample used for "High Light Scatter Reticulocytes Number" assay (blood sample obtained from UK Biobank assessment centre visit).	2012-01-05T00:00:00	2016-02-23T00:00:00	470913	489016	0	2	1	2
30303	High light scatter reticulocyte count device ID	0	0	0	41	0	0	2	1	0	0		9081	0	2	0	2	0	0	Identifier for device used to measure High light scatter reticulocyte count	2012-01-05T00:00:00	2016-02-23T00:00:00	470913	489016	0	2	1	2
30304	High light scatter reticulocyte count acquisition route	0	0	0	21	11	0	2	1	0	0		9081	2226	2	0	2	0	0	Route whereby data for High light scatter reticulocyte count was transferred from analyser device to UK Biobank core LIMS database.	2012-01-05T00:00:00	2016-02-22T00:00:00	470913	489016	0	2	1	2
30314	Volume of EDTA1 plasma held by UKB	0	1	0	11	0	10	0	1	0	0	microlitres	100085	0	2	0	1	0	0	Volume held of "EDTA1 plasma" sample, obtained from UK Biobank assessment centre visits.	2012-01-05T00:00:00	2014-06-05T00:00:00	486176	501417	0	1	1	1
30324	Volume of EDTA1 red cells held by UKB	0	1	0	11	0	10	0	1	0	0	microlitres	100085	0	2	0	1	0	0	Volume held of "EDTA1 red cells" sample, obtained from UK Biobank assessment centre visits.	2012-01-05T00:00:00	2014-06-05T00:00:00	485957	501188	0	1	1	1
30334	Volume of EDTA1 buffy held by UKB	0	1	0	11	0	10	0	1	0	0	microlitres	100085	0	2	0	1	0	0	Volume held of "EDTA1 buffy" sample, obtained from UK Biobank assessment centre visits.	2012-01-05T00:00:00	2014-06-05T00:00:00	485888	501127	0	1	1	1
30344	Volume of EDTA2 plasma held by UKB	0	1	0	11	0	10	0	1	0	0	microlitres	100085	0	2	0	1	0	0	Volume held of "EDTA2 plasma" sample, obtained from UK Biobank assessment centre visits.	2012-01-05T00:00:00	2014-06-05T00:00:00	480237	495269	0	1	1	1
30354	Volume of EDTA2 buffy held by UKB	0	1	0	11	0	10	0	1	0	0	microlitres	100085	0	2	0	1	0	0	Volume held of "EDTA2 buffy" sample, obtained from UK Biobank assessment centre visits.	2012-01-05T00:00:00	2014-06-05T00:00:00	480069	495070	0	1	1	1
30364	Volume of EDTA2 red cells held by UKB	0	1	0	11	0	10	0	1	0	0	microlitres	100085	0	2	0	1	0	0	Volume held of "EDTA2 red cells" sample, obtained from UK Biobank assessment centre visits.	2012-01-05T00:00:00	2014-06-05T00:00:00	480048	495047	0	1	1	1
30374	Volume of Li-Hep plasma held by UKB	0	1	0	11	0	10	0	1	0	0	microlitres	100085	0	2	0	1	0	0	Volume held of "Lithium-Heparin plasma" sample, obtained from UK Biobank assessment centre visits.	2012-01-05T00:00:00	2014-06-05T00:00:00	487541	502674	0	1	1	1
30384	Volume of serum held by UKB	0	1	0	11	0	10	0	1	0	0	microlitres	100085	0	2	0	1	0	0	Volume held of "serum" sample, obtained from UK Biobank assessment centre visits.	2012-01-05T00:00:00	2014-06-05T00:00:00	485765	500903	0	1	1	1
30394	Total volume of urine samples held by UKB	0	1	0	11	0	10	0	1	0	0	microlitres	100087	0	2	0	1	0	0	Volume held of "urine" sample, obtained from Initial UK Biobank assessment centre visit.	2012-01-05T00:00:00	2014-06-05T00:00:00	483172	497519	0	1	1	1
30404	Volume of ACD held by UKB	0	1	0	11	0	10	0	1	0	0	microlitres	100085	0	2	0	1	0	0	Volume held of "ACD" sample, obtained from UK Biobank assessment centre visits.	2012-01-05T00:00:00	2014-06-05T00:00:00	483515	498516	0	1	1	1
30414	Volume of RNA held by UKB	0	1	0	11	0	10	0	1	0	0	microlitres	100085	0	2	0	1	0	0	Volume held of "RNA" sample, obtained from UK Biobank assessment centre visits.	2012-01-05T00:00:00	2014-06-05T00:00:00	127967	131296	0	1	1	1
30424	Total volume of saliva samples held by UKB	0	1	0	11	0	10	0	1	0	0	microlitres	100086	0	2	0	1	0	0	Volume held of "saliva" sample, obtained from Initial UK Biobank assessment centre visit.	2012-01-05T00:00:00	2014-06-05T00:00:00	96288	98634	0	1	1	1
30500	Microalbumin in urine	0	2	0	31	0	0	0	1	0	0	mg/L	100083	0	2	0	1	0	0	Measured by immunoturbidimetric analysis on a Beckman Coulter AU5400.	2016-10-10T00:00:00	2016-11-01T00:00:00	156559	159364	0	2	1	2
30502	Microalbumin in urine acquisition time	0	2	0	51	0	0	0	1	0	0		148	0	2	0	1	0	0	Original collection time of sample used for "Microalbumin in urine" assay (urine sample obtained from UK Biobank assessment centre visit).	2016-10-23T00:00:00	2016-11-01T00:00:00	484808	503490	0	2	1	2
30503	Microalbumin in urine device ID	0	2	0	21	41	0	0	1	0	0		148	200	2	0	1	0	0	Identifier for device used to measure Microalbumin in urine	2016-10-23T00:00:00	2016-11-01T00:00:00	484808	503490	0	2	1	2
30505	Microalbumin in urine result flag	0	2	0	21	41	0	0	1	0	0		100083	198	2	0	1	0	0	Flag returned by measurement device indicating why it could not return a numeric value for Microalbumin in urine	2016-10-23T00:00:00	2016-11-01T00:00:00	333956	344126	0	2	1	2
30510	Creatinine (enzymatic) in urine	0	2	0	31	0	0	0	1	0	0	micromole/L	100083	0	2	0	1	0	0	Measured by enzymatic analysis on a Beckman Coulter AU5400.	2016-10-10T00:00:00	2016-11-01T00:00:00	484828	503511	0	2	1	2
30512	Creatinine (enzymatic) in urine acquisition time	0	2	0	51	0	0	0	1	0	0		148	0	2	0	1	0	0	Original collection time of sample used for "Creatinine (enzymatic) in urine" assay (urine sample obtained from UK Biobank assessment centre visit).	2016-10-23T00:00:00	2016-11-01T00:00:00	484832	503515	0	2	1	2
30513	Creatinine (enzymatic) in urine device ID	0	2	0	21	41	0	0	1	0	0		148	200	2	0	1	0	0	Identifier for device used to measure Creatinine (enzymatic) in urine	2016-10-23T00:00:00	2016-11-01T00:00:00	484832	503515	0	2	1	2
30515	Creatinine (enzymatic) in urine result flag	0	2	0	21	41	0	0	1	0	0		100083	199	2	0	0	0	0	Flag returned by measurement device indicating why it could not return a numeric value for Creatinine (enzymatic) in urine	2016-10-23T00:00:00	2016-11-01T00:00:00	4	4	0	2	1	2
30520	Potassium in urine	0	2	0	31	0	0	0	1	0	0	millimole/L	100083	0	2	0	1	0	0	Measured by ISE (ion selective electrode) analysis on a Beckman Coulter AU5400.	2016-10-10T00:00:00	2016-11-01T00:00:00	483844	502460	0	2	1	2
30522	Potassium in urine acquisition time	0	2	0	51	0	0	0	1	0	0		148	0	2	0	1	0	0	Original collection time of sample used for "Potassium in urine" assay (urine sample obtained from UK Biobank assessment centre visit).	2016-10-23T00:00:00	2016-11-01T00:00:00	484826	503509	0	2	1	2
30523	Potassium in urine device ID	0	2	0	21	41	0	0	1	0	0		148	200	2	0	1	0	0	Identifier for device used to measure Potassium in urine	2016-10-23T00:00:00	2016-11-01T00:00:00	484826	503509	0	2	1	2
30525	Potassium in urine result flag	0	2	0	21	41	0	0	1	0	0		100083	197	2	0	1	0	0	Flag returned by measurement device indicating why it could not return a numeric value for Potassium in urine	2016-10-23T00:00:00	2016-11-01T00:00:00	1048	1049	0	2	1	2
30530	Sodium in urine	0	2	0	31	0	0	0	1	0	0	millimole/L	100083	0	2	0	1	0	0	Measured by ISE (ion selective electrode) analysis using Beckman Coulter AU5400.	2016-10-10T00:00:00	2016-11-01T00:00:00	483814	502442	0	2	1	2
30532	Sodium in urine acquisition time	0	2	0	51	0	0	0	1	0	0		148	0	2	0	1	0	0	Original collection time of sample used for "Sodium in urine" assay (urine sample obtained from UK Biobank assessment centre visit).	2016-10-23T00:00:00	2016-11-01T00:00:00	484824	503507	0	2	1	2
30533	Sodium in urine device ID	0	2	0	21	41	0	0	1	0	0		148	200	2	0	1	0	0	Identifier for device used to measure Sodium in urine	2016-10-23T00:00:00	2016-11-01T00:00:00	484824	503507	0	2	1	2
30535	Sodium in urine result flag	0	2	0	21	41	0	0	1	0	0		100083	196	2	0	1	0	0	Flag returned by measurement device indicating why it could not return a numeric value for Sodium in urine	2016-10-23T00:00:00	2016-11-01T00:00:00	1061	1065	0	2	1	2
30600	Albumin	0	2	0	31	0	0	0	1	0	0	g/L	17518	0	2	0	1	0	0	Measured by BCG analysis on a Beckman Coulter AU5800	2018-05-17T00:00:00	2019-03-06T00:00:00	432226	445658	0	2	1	2
30601	Albumin assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Albumin assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	474653	492038	190	2	1	2
30602	Albumin aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Albumin assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	474444	491817	180	2	1	2
30603	Albumin correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Albumin assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	432226	445658	200	2	1	2
30604	Albumin correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Albumin assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	432226	445658	210	2	1	2
30605	Albumin missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Albumin assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	65170	65633	230	2	1	2
30606	Albumin reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aAlbumin assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2018-06-07T00:00:00	432241	445674	240	2	1	2
30610	Alkaline phosphatase	0	2	0	31	0	0	0	1	0	0	U/L	17518	0	2	0	1	0	0	Measured by AMP(IFCC) analysis on a Beckman Coulter AU5800	2018-05-17T00:00:00	2019-03-06T00:00:00	470734	487348	0	2	1	2
30611	Alkaline phosphatase assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Alkaline phosphatase assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	474709	492071	260	2	1	2
30612	Alkaline phosphatase aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Alkaline phosphatase assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	474500	491850	250	2	1	2
30613	Alkaline phosphatase correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Alkaline phosphatase assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	470734	487348	270	2	1	2
30614	Alkaline phosphatase correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Alkaline phosphatase assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	470734	487348	280	2	1	2
30615	Alkaline phosphatase missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Alkaline phosphatase assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	23870	23943	300	2	1	2
30616	Alkaline phosphatase reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aAlkaline phosphatase assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2018-06-07T00:00:00	470780	487397	310	2	1	2
30620	Alanine aminotransferase	0	2	0	31	0	0	0	1	0	0	U/L	17518	0	2	0	1	0	0	Measured by IFCC analysis on a Beckman Coulter AU5800	2018-05-17T00:00:00	2019-03-06T00:00:00	470533	487141	0	2	1	2
30621	Alanine aminotransferase assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Alanine aminotransferase assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	474769	492161	120	2	1	2
30622	Alanine aminotransferase aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Alanine aminotransferase assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	474560	491940	110	2	1	2
30623	Alanine aminotransferase correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Alanine aminotransferase assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	470533	487141	130	2	1	2
30624	Alanine aminotransferase correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Alanine aminotransferase assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	470533	487141	140	2	1	2
30625	Alanine aminotransferase missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Alanine aminotransferase assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	24075	24150	160	2	1	2
30626	Alanine aminotransferase reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aAlanine aminotransferase assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2019-03-06T00:00:00	470599	487208	170	2	1	2
30630	Apolipoprotein A	0	2	0	31	0	0	0	1	0	0	g/L	17518	0	2	0	1	0	0	Measured by immunoturbidimetric analysis on a Beckman Coulter AU5800	2018-05-17T00:00:00	2019-03-06T00:00:00	429680	442968	0	2	1	2
30631	Apolipoprotein A assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Apolipoprotein A assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	474023	491374	330	2	1	2
30632	Apolipoprotein A aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Apolipoprotein A assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	473814	491153	320	2	1	2
30633	Apolipoprotein A correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Apolipoprotein A assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	429680	442968	340	2	1	2
30634	Apolipoprotein A correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Apolipoprotein A assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	429680	442968	350	2	1	2
30635	Apolipoprotein A missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Apolipoprotein A assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	67795	68323	370	2	1	2
30636	Apolipoprotein A reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aApolipoprotein A assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2019-03-06T00:00:00	431411	444796	380	2	1	2
30640	Apolipoprotein B	0	2	0	31	0	0	0	1	0	0	g/L	17518	0	2	0	1	0	0	Measured by immunoturbidimetric analysis on a Beckman Coulter AU5800	2018-05-17T00:00:00	2019-03-06T00:00:00	468389	484873	0	2	1	2
30641	Apolipoprotein B assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Apolipoprotein B assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	474489	491850	400	2	1	2
30642	Apolipoprotein B aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Apolipoprotein B assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	474281	491630	390	2	1	2
30643	Apolipoprotein B correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Apolipoprotein B assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	468389	484873	410	2	1	2
30644	Apolipoprotein B correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Apolipoprotein B assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	468389	484873	420	2	1	2
30645	Apolipoprotein B missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Apolipoprotein B assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	26318	26418	440	2	1	2
30646	Apolipoprotein B reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aApolipoprotein B assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2019-03-06T00:00:00	469541	486083	450	2	1	2
30650	Aspartate aminotransferase	0	2	0	31	0	0	0	1	0	0	U/L	17518	0	2	0	1	0	0	Measured by IFCC analysis on a Beckman Coulter AU5800	2018-05-17T00:00:00	2019-03-06T00:00:00	468985	485478	0	2	1	2
30651	Aspartate aminotransferase assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Aspartate aminotransferase assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	474750	492147	470	2	1	2
30652	Aspartate aminotransferase aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Aspartate aminotransferase assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	474541	491926	460	2	1	2
30653	Aspartate aminotransferase correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Aspartate aminotransferase assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	468985	485478	480	2	1	2
30654	Aspartate aminotransferase correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Aspartate aminotransferase assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	468985	485478	490	2	1	2
30655	Aspartate aminotransferase missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Aspartate aminotransferase assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	25730	25813	510	2	1	2
30656	Aspartate aminotransferase reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aAspartate aminotransferase assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2018-06-07T00:00:00	468999	485492	520	2	1	2
30660	Direct bilirubin	0	2	0	31	0	0	0	1	0	0	umol/L	17518	0	2	0	1	0	0	Measured by DPD analysis on a Beckman Coulter AU5800	2018-05-17T00:00:00	2019-03-06T00:00:00	400918	413552	0	2	1	2
30661	Direct bilirubin assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Direct bilirubin assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	474269	491576	880	2	1	2
30662	Direct bilirubin aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Direct bilirubin assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	474060	491355	870	2	1	2
30663	Direct bilirubin correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Direct bilirubin assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	400918	413552	890	2	1	2
30664	Direct bilirubin correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Direct bilirubin assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	400918	413552	900	2	1	2
30665	Direct bilirubin missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Direct bilirubin assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	96282	97739	920	2	1	2
30666	Direct bilirubin reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aDirect bilirubin assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2019-03-06T00:00:00	469124	485646	930	2	1	2
30670	Urea	0	2	0	31	0	0	0	1	0	0	mmol/L	17518	0	2	0	1	0	0	Measured by GLDH, kinetic analysis on a Beckman Coulter AU5800	2018-05-17T00:00:00	2019-03-06T00:00:00	470413	486998	0	2	1	2
30671	Urea assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Urea assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	474436	491801	2030	2	1	2
30672	Urea aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Urea assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	474227	491580	2020	2	1	2
30673	Urea correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Urea assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	470413	486998	2040	2	1	2
30674	Urea correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Urea assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	470413	486998	2050	2	1	2
30675	Urea missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Urea assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	24219	24293	2070	2	1	2
30676	Urea reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aUrea assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2018-06-07T00:00:00	470423	487008	2080	2	1	2
30680	Calcium	0	2	0	31	0	0	0	1	0	0	mmol/L	17518	0	2	0	1	0	0	Measured by Arsenazo III analysis on a Beckman Coulter AU5800	2018-05-17T00:00:00	2019-03-06T00:00:00	432078	445507	0	2	1	2
30681	Calcium assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Calcium assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	474279	491655	600	2	1	2
30682	Calcium aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Calcium assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	474070	491434	590	2	1	2
30683	Calcium correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Calcium assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	432078	445507	610	2	1	2
30684	Calcium correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Calcium assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	432078	445507	620	2	1	2
30685	Calcium missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Calcium assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	65320	65784	640	2	1	2
30686	Calcium reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aCalcium assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2018-06-07T00:00:00	432136	445568	650	2	1	2
30690	Cholesterol	0	2	0	31	0	0	0	1	0	0	mmol/L	17518	0	2	0	1	0	0	Measured by CHO-POD analysis on a Beckman Coulter AU5800	2018-05-17T00:00:00	2019-03-06T00:00:00	470721	487342	0	2	1	2
30691	Cholesterol assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Cholesterol assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	474688	492082	670	2	1	2
30692	Cholesterol aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Cholesterol assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	474479	491861	660	2	1	2
30693	Cholesterol correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Cholesterol assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	470721	487342	680	2	1	2
30694	Cholesterol correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Cholesterol assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	470721	487342	690	2	1	2
30695	Cholesterol missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Cholesterol assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	23876	23949	710	2	1	2
30696	Cholesterol reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aCholesterol assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2018-06-07T00:00:00	470728	487349	720	2	1	2
30700	Creatinine	0	2	0	31	0	0	0	1	0	0	umol/L	17518	0	2	0	1	0	0	Measured by enzymatic analysis on a Beckman Coulter AU5800	2018-05-17T00:00:00	2019-03-06T00:00:00	470498	487076	0	2	1	2
30701	Creatinine assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Creatinine assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	474445	491796	740	2	1	2
30702	Creatinine aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Creatinine assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	474236	491575	730	2	1	2
30703	Creatinine correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Creatinine assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	470498	487076	750	2	1	2
30704	Creatinine correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Creatinine assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	470498	487076	760	2	1	2
30705	Creatinine missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Creatinine assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	24141	24215	780	2	1	2
30706	Creatinine reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aCreatinine assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2018-06-07T00:00:00	470498	487076	790	2	1	2
30710	C-reactive protein	0	2	0	31	0	0	0	1	0	0	mg/L	17518	0	2	0	1	0	0	Measured by immunoturbidimetric - high sensitivity analysis on a Beckman Coulter AU5800	2018-05-17T00:00:00	2018-06-07T00:00:00	469732	486281	0	2	1	2
30711	C-reactive protein assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the C-reactive protein assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	474297	491665	540	2	1	2
30712	C-reactive protein aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the C-reactive protein assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	474088	491444	530	2	1	2
30713	C-reactive protein correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the C-reactive protein assay result.	2018-06-01T00:00:00	2018-06-07T00:00:00	469732	486281	550	2	1	2
30714	C-reactive protein correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the C-reactive protein assay result.	2018-06-01T00:00:00	2018-06-07T00:00:00	469732	486281	560	2	1	2
30715	C-reactive protein missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a C-reactive protein assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	24933	25010	570	2	1	2
30716	C-reactive protein reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aC-reactive protein assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2018-06-07T00:00:00	470138	486724	580	2	1	2
30720	Cystatin C	0	2	0	31	0	0	0	1	0	0	mg/L	17518	0	2	0	1	0	0	Measured by latex enhanced immunoturbidimetric analysis on a Siemens ADVIA 1800	2018-05-17T00:00:00	2019-03-06T00:00:00	470692	487298	0	2	1	2
30721	Cystatin C assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Cystatin C assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	474606	491981	810	2	1	2
30722	Cystatin C aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Cystatin C assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	474396	491759	800	2	1	2
30723	Cystatin C correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Cystatin C assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	470692	487298	820	2	1	2
30724	Cystatin C correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Cystatin C assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	470692	487298	830	2	1	2
30725	Cystatin C missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Cystatin C assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	23919	23993	850	2	1	2
30726	Cystatin C reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aCystatin C assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2019-03-06T00:00:00	470707	487313	860	2	1	2
30730	Gamma glutamyltransferase	0	2	0	31	0	0	0	1	0	0	U/L	17518	0	2	0	1	0	0	Measured by IFCC analysis on a Beckman Coulter AU5800	2018-05-17T00:00:00	2018-06-07T00:00:00	470479	487081	0	2	1	2
30731	Gamma glutamyltransferase assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Gamma glutamyltransferase assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	474587	491970	950	2	1	2
30732	Gamma glutamyltransferase aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Gamma glutamyltransferase assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	474378	491749	940	2	1	2
30733	Gamma glutamyltransferase correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Gamma glutamyltransferase assay result.	2018-06-01T00:00:00	2018-06-07T00:00:00	470479	487081	960	2	1	2
30734	Gamma glutamyltransferase correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Gamma glutamyltransferase assay result.	2018-06-01T00:00:00	2018-06-07T00:00:00	470479	487081	970	2	1	2
30735	Gamma glutamyltransferase missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Gamma glutamyltransferase assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	24137	24210	980	2	1	2
30736	Gamma glutamyltransferase reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aGamma glutamyltransferase assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2018-06-07T00:00:00	470573	487176	990	2	1	2
30740	Glucose	0	2	0	31	0	0	0	1	0	0	mmol/L	17518	0	2	0	1	0	0	Measured by hexokinase analysis on a Beckman Coulter AU5800	2018-05-17T00:00:00	2019-03-06T00:00:00	431732	445141	0	2	1	2
30741	Glucose assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Glucose assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	474018	491371	1010	2	1	2
30742	Glucose aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Glucose assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	473809	491150	1000	2	1	2
30743	Glucose correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Glucose assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	431732	445141	1020	2	1	2
30744	Glucose correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Glucose assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	431732	445141	1030	2	1	2
30745	Glucose missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Glucose assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	65684	66150	1050	2	1	2
30746	Glucose reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aGlucose assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2018-06-07T00:00:00	431740	445149	1060	2	1	2
30750	Glycated haemoglobin (HbA1c)	0	2	0	31	0	0	0	1	0	0	mmol/mol	17518	0	2	0	1	0	0	Measured by HPLC analysis on a Bio-Rad VARIANT II Turbo	2018-05-17T00:00:00	2019-03-06T00:00:00	467786	480646	0	2	1	2
30751	Glycated haemoglobin (HbA1c) assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Glycated haemoglobin (HbA1c) assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	483216	496887	1080	2	1	2
30753	Glycated haemoglobin (HbA1c) correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Glycated haemoglobin (HbA1c) assay result.	2018-06-01T00:00:00	2018-06-07T00:00:00	467786	480646	1090	2	1	2
30754	Glycated haemoglobin (HbA1c) correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Glycated haemoglobin (HbA1c) assay result.	2018-06-01T00:00:00	2018-06-07T00:00:00	467786	480646	1100	2	1	2
30755	Glycated haemoglobin (HbA1c) missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Glycated haemoglobin (HbA1c) assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	30392	30645	1110	2	1	2
30756	Glycated haemoglobin (HbA1c) reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aGlycated haemoglobin (HbA1c) assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2018-06-07T00:00:00	467981	480846	1120	2	1	2
30760	HDL cholesterol	0	2	0	31	0	0	0	1	0	0	mmol/L	17518	0	2	0	1	0	0	Measured by enzyme immunoinhibition analysis on a Beckman Coulter AU5800	2018-05-17T00:00:00	2019-03-06T00:00:00	432023	445451	0	2	1	2
30761	HDL cholesterol assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the HDL cholesterol assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	474524	491903	1140	2	1	2
30762	HDL cholesterol aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the HDL cholesterol assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	474315	491682	1130	2	1	2
30763	HDL cholesterol correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the HDL cholesterol assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	432023	445451	1150	2	1	2
30764	HDL cholesterol correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the HDL cholesterol assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	432023	445451	1160	2	1	2
30765	HDL cholesterol missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a HDL cholesterol assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	65371	65840	1180	2	1	2
30766	HDL cholesterol reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aHDL cholesterol assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2018-06-07T00:00:00	432029	445457	1190	2	1	2
30770	IGF-1	0	2	0	31	0	0	0	1	0	0	nmol/L	17518	0	2	0	1	0	0	Measured by CLIA analysis on a DiaSorin Ltd. LIASON XL	2018-05-17T00:00:00	2019-03-06T00:00:00	468262	484617	0	2	1	2
30771	IGF-1 assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the IGF-1 assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	472168	489286	1210	2	1	2
30772	IGF-1 aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the IGF-1 assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	471957	489064	1200	2	1	2
30773	IGF-1 correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the IGF-1 assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	468262	484617	1220	2	1	2
30774	IGF-1 correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the IGF-1 assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	468262	484617	1230	2	1	2
30775	IGF-1 missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a IGF-1 assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	26585	26674	1250	2	1	2
30776	IGF-1 reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aIGF-1 assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2018-06-07T00:00:00	468268	484623	1260	2	1	2
30780	LDL direct	0	2	0	31	0	0	0	1	0	0	mmol/L	17518	0	2	0	1	0	0	Measured by enzymatic protective selection analysis on a Beckman Coulter AU5800	2018-05-17T00:00:00	2019-03-06T00:00:00	469883	486419	0	2	1	2
30781	LDL direct assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the LDL direct assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	473958	491270	1280	2	1	2
30782	LDL direct aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the LDL direct assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	473749	491049	1270	2	1	2
30783	LDL direct correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the LDL direct assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	469883	486419	1290	2	1	2
30784	LDL direct correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the LDL direct assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	469883	486419	1300	2	1	2
30785	LDL direct missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a LDL direct assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	24793	24872	1320	2	1	2
30786	LDL direct reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aLDL direct assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2018-06-07T00:00:00	469890	486426	1330	2	1	2
30790	Lipoprotein A	0	2	0	31	0	0	0	1	0	0	nmol/L	17518	0	2	0	1	0	0	Measured by immunoturbidimetric analysis on a Randox AU5800. Values for Lipoprotein A that were outside the reportable range are available in return <a href="https://biobank.ndph.ox.ac.uk/showcase/dset.cgi?id=2321">2321</a>	2018-05-17T00:00:00	2019-03-01T00:00:00	377559	389761	0	2	1	2
30791	Lipoprotein A assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Lipoprotein A assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	460360	476632	1350	2	1	2
30792	Lipoprotein A aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Lipoprotein A assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	460153	476413	1340	2	1	2
30793	Lipoprotein A correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Lipoprotein A assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	377559	389761	1360	2	1	2
30794	Lipoprotein A correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Lipoprotein A assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	377559	389761	1370	2	1	2
30795	Lipoprotein A missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Lipoprotein A assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	118766	121530	1380	2	1	2
30796	Lipoprotein A reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aLipoprotein A assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2019-03-06T00:00:00	456733	472293	1390	2	1	2
30800	Oestradiol	0	2	0	31	0	0	0	1	0	0	pmol/L	17518	0	2	0	1	0	0	Measured by two step competitive analysis on a Beckman Coulter Unicel Dxl 800	2018-05-17T00:00:00	2019-03-06T00:00:00	77680	78501	0	2	1	2
30801	Oestradiol assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Oestradiol assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	442664	457478	1410	2	1	2
30802	Oestradiol aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Oestradiol assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	442473	457277	1400	2	1	2
30803	Oestradiol correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Oestradiol assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	77680	78501	1420	2	1	2
30804	Oestradiol correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Oestradiol assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	77680	78501	1430	2	1	2
30805	Oestradiol missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Oestradiol assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	417341	432790	1450	2	1	2
30806	Oestradiol reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aOestradiol assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2019-03-06T00:00:00	439688	454133	1460	2	1	2
30810	Phosphate	0	2	0	31	0	0	0	1	0	0	mmol/L	17518	0	2	0	1	0	0	Measured by phophomolybdate complex analysis on a Beckman Coulter AU5800	2018-05-17T00:00:00	2019-03-06T00:00:00	431413	444789	0	2	1	2
30811	Phosphate assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Phosphate assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	473786	491106	1480	2	1	2
30812	Phosphate aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Phosphate assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	473577	490885	1470	2	1	2
30813	Phosphate correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Phosphate assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	431413	444789	1490	2	1	2
30814	Phosphate correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Phosphate assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	431413	444789	1500	2	1	2
30815	Phosphate missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Phosphate assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	66028	66502	1520	2	1	2
30816	Phosphate reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aPhosphate assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2018-06-07T00:00:00	431425	444801	1530	2	1	2
30820	Rheumatoid factor	0	2	0	31	0	0	0	1	0	0	IU/ml	17518	0	2	0	1	0	0	Measured by immunoturbidimetric analysis on a Beckman Coulter AU5800	2018-05-17T00:00:00	2018-06-07T00:00:00	41980	42989	0	2	1	2
30821	Rheumatoid factor assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Rheumatoid factor assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	473910	491262	1550	2	1	2
30822	Rheumatoid factor aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Rheumatoid factor assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	473701	491041	1540	2	1	2
30823	Rheumatoid factor correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Rheumatoid factor assay result.	2018-06-01T00:00:00	2018-06-07T00:00:00	41980	42989	1560	2	1	2
30824	Rheumatoid factor correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Rheumatoid factor assay result.	2018-06-01T00:00:00	2018-06-07T00:00:00	41980	42989	1570	2	1	2
30825	Rheumatoid factor missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Rheumatoid factor assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	451380	468302	1580	2	1	2
30826	Rheumatoid factor reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aRheumatoid factor assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2018-06-07T00:00:00	470697	487372	1590	2	1	2
30830	SHBG	0	2	0	31	0	0	0	1	0	0	nmol/L	17518	0	2	0	1	0	0	Measured by two step sandwich immunoassay analysis on a Beckman Coulter Unicel Dxl 800	2018-05-17T00:00:00	2019-03-06T00:00:00	428065	441194	0	2	1	2
30831	SHBG assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the SHBG assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	470448	487158	1610	2	1	2
30832	SHBG aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the SHBG assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	470240	486938	1600	2	1	2
30833	SHBG correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the SHBG assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	428065	441194	1620	2	1	2
30834	SHBG correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the SHBG assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	428065	441194	1630	2	1	2
30835	SHBG missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a SHBG assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	69564	70097	1650	2	1	2
30836	SHBG reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aSHBG assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2019-03-06T00:00:00	428793	441949	1660	2	1	2
30840	Total bilirubin	0	2	0	31	0	0	0	1	0	0	umol/L	17518	0	2	0	1	0	0	Measured by photometric colour analysis on a Beckman Coulter AU5800	2018-05-17T00:00:00	2019-03-06T00:00:00	468762	485212	0	2	1	2
30841	Total bilirubin assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Total bilirubin assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	474394	491741	1750	2	1	2
30842	Total bilirubin aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Total bilirubin assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	474185	491520	1740	2	1	2
30843	Total bilirubin correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Total bilirubin assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	468762	485212	1760	2	1	2
30844	Total bilirubin correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Total bilirubin assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	468762	485212	1770	2	1	2
30845	Total bilirubin missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Total bilirubin assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	25997	26079	1790	2	1	2
30846	Total bilirubin reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aTotal bilirubin assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2018-06-07T00:00:00	468780	485230	1800	2	1	2
30850	Testosterone	0	2	0	31	0	0	0	1	0	0	nmol/L	17518	0	2	0	1	0	0	Measured by one step competitive analysis on a Beckman Coulter Unicel Dxl 800	2018-05-17T00:00:00	2019-03-06T00:00:00	426945	441131	0	2	1	2
30851	Testosterone assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Testosterone assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	470600	487298	1680	2	1	2
30852	Testosterone aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Testosterone assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	470388	487076	1670	2	1	2
30853	Testosterone correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Testosterone assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	426945	441131	1690	2	1	2
30854	Testosterone correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Testosterone assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	426945	441131	1700	2	1	2
30855	Testosterone missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Testosterone assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	69044	70160	1720	2	1	2
30856	Testosterone reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aTestosterone assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2019-03-06T00:00:00	466919	483126	1730	2	1	2
30860	Total protein	0	2	0	31	0	0	0	1	0	0	g/L	17518	0	2	0	1	0	0	Measured by biuret analysis on a Beckman Coulter AU5800	2018-05-17T00:00:00	2019-03-06T00:00:00	431759	445177	0	2	1	2
30861	Total protein assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Total protein assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	474235	491581	1820	2	1	2
30862	Total protein aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Total protein assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	474026	491360	1810	2	1	2
30863	Total protein correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Total protein assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	431759	445177	1830	2	1	2
30864	Total protein correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Total protein assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	431759	445177	1840	2	1	2
30865	Total protein missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Total protein assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	65642	66114	1860	2	1	2
30866	Total protein reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aTotal protein assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2019-03-06T00:00:00	431776	445194	1870	2	1	2
30870	Triglycerides	0	2	0	31	0	0	0	1	0	0	mmol/L	17518	0	2	0	1	0	0	Measured by GPO-POD analysis on a Beckman Coulter AU5800	2018-05-17T00:00:00	2019-03-06T00:00:00	470351	486934	0	2	1	2
30871	Triglycerides assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Triglycerides assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	474409	491761	1890	2	1	2
30872	Triglycerides aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Triglycerides assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	474200	491540	1880	2	1	2
30873	Triglycerides correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Triglycerides assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	470351	486934	1900	2	1	2
30874	Triglycerides correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Triglycerides assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	470351	486934	1910	2	1	2
30875	Triglycerides missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Triglycerides assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	24282	24357	1930	2	1	2
30876	Triglycerides reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aTriglycerides assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2019-03-06T00:00:00	470490	487076	1940	2	1	2
30880	Urate	0	2	0	31	0	0	0	1	0	0	umol/L	17518	0	2	0	1	0	0	Measured by uricase PAP analysis on a Beckman Coulter AU5800	2018-05-17T00:00:00	2019-03-06T00:00:00	470172	486730	0	2	1	2
30881	Urate assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Urate assay was carried out.	2018-06-01T00:00:00	2018-06-06T00:00:00	474244	491575	1960	2	1	2
30882	Urate aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Urate assay.	2018-06-01T00:00:00	2018-06-07T00:00:00	474035	491354	1950	2	1	2
30883	Urate correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Urate assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	470172	486730	1970	2	1	2
30884	Urate correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Urate assay result.	2018-06-01T00:00:00	2019-03-06T00:00:00	470172	486730	1980	2	1	2
30885	Urate missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Urate assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	24487	24561	2000	2	1	2
30886	Urate reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aUrate assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2019-03-06T00:00:00	470303	486865	2010	2	1	2
30890	Vitamin D	0	2	0	31	0	0	0	1	0	0	nmol/L	17518	0	2	0	1	0	0	Measured by CLIA analysis on a DiaSorin Ltd. LIASON XL	2018-05-17T00:00:00	2018-06-07T00:00:00	449835	465270	0	2	1	2
30891	Vitamin D assay date	0	2	0	51	0	0	2	1	0	0		18518	0	2	0	1	0	0	The date on which the Vitamin D assay was carried out.	2018-06-01T00:00:00	2019-03-01T00:00:00	474439	491797	2100	2	1	2
30892	Vitamin D aliquot	0	2	0	21	11	0	2	1	0	0		18518	1529	2	0	1	0	0	The aliquout used for the Vitamin D assay.	2018-06-01T00:00:00	2019-03-06T00:00:00	474229	491575	2090	2	1	2
30893	Vitamin D correction level	0	2	0	21	11	0	2	1	0	0		18518	165	2	0	1	0	0	The type of post-measurement correction applied to the Vitamin D assay result.	2018-06-01T00:00:00	2018-06-07T00:00:00	449835	465270	2110	2	1	2
30894	Vitamin D correction reason	0	2	0	21	11	0	2	1	0	0		18518	305	2	0	1	0	0	The reason for applying a correction to the Vitamin D assay result.	2018-06-01T00:00:00	2018-06-07T00:00:00	449835	465270	2120	2	1	2
30895	Vitamin D missing reason	0	2	0	21	11	0	2	1	0	0		18518	782	2	0	1	0	0	The reason that a Vitamin D assay result is missing.	2018-06-01T00:00:00	2019-03-06T00:00:00	45576	46021	2130	2	1	2
30896	Vitamin D reportability	0	2	0	21	11	0	2	1	0	0		18518	4917	2	0	1	0	0	The reportability of aVitamin D assay result. Absence of a value here means that a result has not been attempted.	2018-06-01T00:00:00	2019-03-06T00:00:00	452398	467926	2140	2	1	2
30897	Estimated sample dilution factor	0	2	0	31	0	0	2	1	0	0	factor	18518	0	2	0	1	0	0	Average estimated dilution factor across assays.	2019-02-27T00:00:00	2019-03-07T00:00:00	468363	484912	100	2	1	2
30900	Number of proteins measured	0	2	0	11	0	30	3	1	0	0	number of proteins	1839	0	2	0	3	0	0	Number of protein measurements available in olink assay data. <p> Add this field to a basket to gain access to ~T1072~.	2023-01-12T00:00:00	2023-02-21T00:00:00	52749	55002	100	2	2	2
30901	Plate used for sample run	0	2	0	41	0	0	2	1	0	0		1839	0	2	0	3	0	0	Shipment plate containing sample aliquot used for Olink Explore analysis.	2023-01-12T00:00:00	2023-02-21T00:00:00	52749	55002	110	2	2	2
30902	Well used for sample run	0	2	0	41	0	0	2	1	0	0		1839	0	2	0	3	0	0	Position of well containing sample aliquot used for Olink Explore analysis.	2023-01-12T00:00:00	2023-02-21T00:00:00	52749	55002	120	2	2	2
30904	Number of blind-spike duplicates	0	2	1	11	0	30	2	1	0	0		1839	0	2	0	3	0	0	Number of blind-spike duplicates (if at least one exists).	2023-01-12T00:00:00	2023-02-21T00:00:00	1313	1314	130	2	2	2
40000	Date of death	0	2	0	51	0	0	0	1	0	0		100093	0	9000001	0	1	0	0	Date of death.<p>Acquired from central registry.	2012-07-17T00:00:00	2023-03-02T00:00:00	44499	44559	130	1	1	1
40001	Underlying (primary) cause of death: ICD10	0	2	0	21	41	0	0	1	0	0		100093	19	9000001	0	1	0	0	Underlying/primary cause of death reported for participant. Note that this may not match the text value in ~F40010~ due to transcription errors at source. <p>Acquired from central registry.	2012-07-17T00:00:00	2023-03-07T00:00:00	44197	44257	150	1	1	1
40002	Contributory (secondary) causes of death: ICD10	0	2	0	21	41	0	0	1	1	0		100093	19	9000001	0	1	0	14	Contributory/secondary causes of death reported for participant. There may be zero, one or many.<p>Acquired from central registry.	2012-07-17T00:00:00	2023-03-07T00:00:00	29452	68660	180	1	1	1
40005	Date of cancer diagnosis	0	2	0	51	0	0	0	2	0	0		100092	0	9000002	0	21	0	0	Date of cancer diagnosis, acquired from central registry. <p>Note that data from the most recent 12-18 months is still accruing (i.e. it is not complete). <p> The events/dates are indexed in the order in which they are received and processed by UK Biobank rather than in their own chronological order.	2012-07-18T00:00:00	2023-03-02T00:00:00	123703	167852	130	1	1	1
40006	Type of cancer: ICD10	0	2	0	21	41	0	0	1	0	0		100092	19	9000002	0	21	0	0	The ICD-10 code for the type of cancer.<p>Acquired from central registry.<p>The ICD-10 tree displayed on this page includes all cancer records for each UK Biobank participant (for which there may be multiple ICD codes). For more information on the first diagnosed cancer in each participant, please refer to ~L100092~.	2012-07-18T00:00:00	2023-03-07T00:00:00	119269	152596	150	1	1	1
40007	Age at death	0	2	0	31	0	0	3	1	0	0	years	100093	0	9000001	0	1	0	0	Age calculated as interval between Date of Birth and Death.	2012-08-10T00:00:00	2023-03-03T00:00:00	44499	44559	140	1	1	1
40008	Age at cancer diagnosis	0	2	0	31	0	0	3	1	0	0		100092	0	9000002	0	21	0	0	Age calculated as interval between Dates of Birth and Cancer diagnosis.	2012-08-10T00:00:00	2023-03-03T00:00:00	123703	167852	140	1	1	1
40009	Reported occurrences of cancer	0	3	0	11	0	0	3	2	0	0		100092	0	9000002	0	0	0	0	This is the number of reports of cancer received from UK National registries. Participants who have never been reported as having cancer do not contribute to this field unless a report was received then subsequently withdrawn. <br> <br> Please note that this field represents simply the number of cancer records per participant; due to probable (pseudo)duplicates between different sources these counts likely do not accurately reflect the number of unique cancer diagnoses. Please see the ~Xcancer_registry~cancer registry information page~ on Essential Information for further details. <br> <br> The counts indicate records where there is a non-missing date of diagnosis; a record will be counted even where other diagnosis information such as site and/or morphology are missing or invalid.	2012-08-13T00:00:00	2023-03-06T00:00:00	123703	123703	120	1	1	1
40010	Description of cause of death	0	2	0	101	0	0	0	2	0	0		100093	0	9000001	0	0	0	0	Underlying/primary cause of death reported for participant - text description. This is the cause of death (entered as free-text) from the Medical Certificate of Cause of Death (MCCD). The data-field reveals the sequence leading to death, underlying cause and contributory causes that led to subsequent death. It is composed of the following sections: <ul> <li>I(a) is free-text description stored in the I(a) section on the death certificate;</li> <li>I(b) is free-text description stored in the I(b) section on the death certificate;</li> <li>I(c) is free-text description stored in the I(c) section on the death certificate;</li> <li>I(d) is free-text description stored in the I(d) section on the death certificate (populated for Scottish deaths only);</li> <li>II is free-text description stored in the II section on the death certificate;</li> <li>Verdict given (where present) - information from post mortem investigation and/or results of investigations initiated ante mortem.</li> </ul> <p> Note that this may not match the coded values in ~F40001~ and ~F40002~ due to transcription errors at source. The content has also been manually cleaned to remove any information which might be used towards identifying the subject.	2012-08-24T00:00:00	2020-06-15T00:00:00	22982	22982	190	1	1	1
40011	Histology of cancer tumour	0	2	0	21	11	0	0	2	0	0		100092	38	9000002	0	21	0	0	This is a numeric code relating to the histology of the tumour, provided by the cancer registry	2013-01-09T00:00:00	2023-03-02T00:00:00	122904	162277	180	1	1	1
40012	Behaviour of cancer tumour	0	2	0	21	11	0	0	2	0	0		100092	39	9000002	0	21	0	0	This is a numeric code relating to the behaviour of the tumour, provided by the cancer registry	2013-01-09T00:00:00	2023-03-02T00:00:00	122904	162277	200	1	1	1
40013	Type of cancer: ICD9	0	2	0	21	41	0	0	1	0	0		100092	87	9000002	0	14	0	0	The ICD9 code for the type of cancer.<p>Acquired from central registry.	2013-01-21T00:00:00	2023-03-07T00:00:00	11228	15247	170	1	1	1
40018	Death record format	0	3	0	21	11	0	0	1	0	0		100093	261	9000001	0	1	0	0	Indicates the format of the data in which the original death record was supplied to UK Biobank.	2014-03-14T00:00:00	2023-03-02T00:00:00	44499	44559	110	1	1	1
40019	Cancer record format	0	3	0	21	11	0	2	2	0	0		100092	262	9000002	0	21	0	0	Indicates the format of the data in which the original cancer record was supplied to UK Biobank.	2014-03-14T00:00:00	2023-03-02T00:00:00	123733	167959	110	1	1	1
40020	Death record origin	0	2	0	21	41	0	0	1	0	0		100093	1970	9000001	0	1	0	0	Indicates the origin of the data in which the original death record was supplied to UK Biobank.	2018-03-20T00:00:00	2023-03-07T00:00:00	44500	44560	120	1	1	1
40021	Cancer record origin	0	1	0	21	41	0	0	1	0	0		100092	1970	9000002	0	21	0	0	Indicates the origin of the data in which the original cancer record was supplied to UK Biobank.	2018-03-20T00:00:00	2023-03-07T00:00:00	123733	167959	100	1	1	1
40022	Inpatient record origin	0	2	0	22	41	0	0	0	1	0		2001	1970	0	0	0	0	2	Indicates the origin of the data in which the original hospital inpatient record was supplied to UK Biobank. <p>This field corresponds to the field DSOURCE on the HESIN table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN table by adding ~F41259~ to their basket.	2018-03-20T00:00:00	2023-03-07T00:00:00	447962	453387	320	1	1	1
40023	Records in death dataset	0	2	0	11	0	30	3	0	0	0	records	100093	0	0	0	0	0	0	Adding this field to a basket will grant access to the DEATH and DEATH_CAUSE tables on the Data Portal. The DEATH table replicates the information in ~F40000~, ~F40018~ and ~F40020~. The DEATH_CAUSE table replicates the information in ~F40001~ and ~F40002~. See ~R115559~ for additional information. <p> If included, the field will also appear in a main UK Biobank dataset where it will give a count of the number of rows for each participant in the DEATH table.	2020-05-08T00:00:00	2023-03-02T00:00:00	44499	44499	100	1	1	1
40030	Sleep - Day hour average	0	0	0	101	0	0	3	1	0	0		1020	0	93	0	0	0	0	The average proportion of time spent sleeping per hour across all days. The data is stored as 24 comma seperated values, each representing an hour of the day, starting with 12am and ending with 11pm. Please use the fields in ~L1011~ to quality control participants for completeness of the accelerometry recording period and the related data fields for the corresponding proportion for the other activity levels. Where data was missing for a participant, the value was imputed from the available data as outlined in ~D2040~. Please see ~P5649~ for more details.	2022-09-29T00:00:00	2022-09-29T00:00:00	99109	99109	0	1	1	1
40031	Sedentary - Day hour average	0	0	0	101	0	0	3	1	0	0		1020	0	93	0	0	0	0	The average proportion of time spent sedentary per hour across all days. The data is stored as 24 comma seperated values, each representing an hour of the day, starting with 12am and ending with 11pm. Please use the fields in ~L1011~ to quality control participants for completeness of the accelerometry recording period and the related data fields for the corresponding proportion for the other activity levels. Where data was missing for a participant, the value was imputed from the available data as outlined in ~D2040~. Please see ~P5649~ for more details.	2022-09-29T00:00:00	2022-09-29T00:00:00	99109	99109	0	1	1	1
40032	Light - Day hour average	0	0	0	101	0	0	3	1	0	0		1020	0	93	0	0	0	0	The average proportion of time spent doing light activity per hour across all days. The data is stored as 24 comma seperated values, each representing an hour of the day, starting with 12am and ending with 11pm. Please use the fields in ~L1011~ to quality control participants for completeness of the accelerometry recording period and the related data fields for the corresponding proportion for the other activity levels. Where data was missing for a participant, the value was imputed from the available data as outlined in ~D2040~. Please see ~P5649~ for more details.	2022-09-29T00:00:00	2022-09-29T00:00:00	99109	99109	0	1	1	1
40033	Moderate-Vigorous - Day hour average	0	0	0	101	0	0	3	1	0	0		1020	0	93	0	0	0	0	The average proportion of time spent doing moderate-vigorous activity per hour across all days. The data is stored as 24 comma seperated values, each representing an hour of the day, starting with 12am and ending with 11pm. Please use the fields in ~L1011~ to quality control participants for completeness of the accelerometry recording period and the related data fields for the corresponding proportion for the other activity levels. Where data was missing for a participant, the value was imputed from the available data as outlined in ~D2040~. Please see ~P5649~ for more details.	2022-09-29T00:00:00	2022-09-29T00:00:00	99109	99109	0	1	1	1
40034	Sleep - Weekday hour average	0	0	0	101	0	0	3	1	0	0		1020	0	93	0	0	0	0	The average proportion of time spent sleeping per hour across all weekdays. The data is stored as 24 comma seperated values, each representing an hour of the day, starting with 12am and ending with 11pm. Please use the fields in ~L1011~ to quality control participants for completeness of the accelerometry recording period and the related data fields for the corresponding proportion for the other activity levels. Where data was missing for a participant, the value was imputed from the available data as outlined in ~D2040~. Please see ~P5649~ for more details.	2022-09-29T00:00:00	2022-09-29T00:00:00	99063	99063	0	1	1	1
40035	Sedentary - Weekday hour average	0	0	0	101	0	0	3	1	0	0		1020	0	93	0	0	0	0	The average proportion of time spent sedentary per hour across all weekdays. The data is stored as 24 comma seperated values, each representing an hour of the day, starting with 12am and ending with 11pm. Please use the fields in ~L1011~ to quality control participants for completeness of the accelerometry recording period and the related data fields for the corresponding proportion for the other activity levels. Where data was missing for a participant, the value was imputed from the available data as outlined in ~D2040~. Please see ~P5649~ for more details.	2022-09-29T00:00:00	2022-09-29T00:00:00	99063	99063	0	1	1	1
40036	Light - Weekday hour average	0	0	0	101	0	0	3	1	0	0		1020	0	93	0	0	0	0	The average proportion of time spent doing light activity per hour across all weekdays. The data is stored as 24 comma seperated values, each representing an hour of the day, starting with 12am and ending with 11pm. Please use the fields in ~L1011~ to quality control participants for completeness of the accelerometry recording period and the related data fields for the corresponding proportion for the other activity levels. Where data was missing for a participant, the value was imputed from the available data as outlined in ~D2040~. Please see ~P5649~ for more details.	2022-09-29T00:00:00	2022-09-29T00:00:00	99063	99063	0	1	1	1
40037	Moderate-Vigorous - Weekday hour average	0	0	0	101	0	0	3	1	0	0		1020	0	93	0	0	0	0	The average proportion of time spent doing moderate-vigorous activity per hour across all weekdays. The data is stored as 24 comma seperated values, each representing an hour of the day, starting with 12am and ending with 11pm. Please use the fields in ~L1011~ to quality control participants for completeness of the accelerometry recording period and the related data fields for the corresponding proportion for the other activity levels. Where data was missing for a participant, the value was imputed from the available data as outlined in ~D2040~. Please see ~P5649~ for more details.	2022-09-29T00:00:00	2022-09-29T00:00:00	99063	99063	0	1	1	1
40038	Sleep - Weekend hour average	0	0	0	101	0	0	3	1	0	0		1020	0	93	0	0	0	0	The average proportion of time spent sleeping per hour across all weekend days. The data is stored as 24 comma seperated values, each representing an hour of the day, starting with 12am and ending with 11pm. Please use the fields in ~L1011~ to quality control participants for completeness of the accelerometry recording period and the related data fields for the corresponding proportion for the other activity levels. Where data was missing for a participant, the value was imputed from the available data as outlined in ~D2040~. Please see ~P5649~ for more details.	2022-09-29T00:00:00	2022-09-29T00:00:00	98516	98516	0	1	1	1
40039	Sedentary - Weekend hour average	0	0	0	101	0	0	3	1	0	0		1020	0	93	0	0	0	0	The average proportion of time spent sedentary per hour across all weekend days. The data is stored as 24 comma seperated values, each representing an hour of the day, starting with 12am and ending with 11pm. Please use the fields in ~L1011~ to quality control participants for completeness of the accelerometry recording period and the related data fields for the corresponding proportion for the other activity levels. Where data was missing for a participant, the value was imputed from the available data as outlined in ~D2040~. Please see ~P5649~ for more details.	2022-09-29T00:00:00	2022-09-29T00:00:00	98516	98516	0	1	1	1
40040	Light - Weekend hour average	0	0	0	101	0	0	3	1	0	0		1020	0	93	0	0	0	0	The average proportion of time spent doing light activity per hour across all weekend days. The data is stored as 24 comma seperated values, each representing an hour of the day, starting with 12am and ending with 11pm. Please use the fields in ~L1011~ to quality control participants for completeness of the accelerometry recording period and the related data fields for the corresponding proportion for the other activity levels. Where data was missing for a participant, the value was imputed from the available data as outlined in ~D2040~. Please see ~P5649~ for more details.	2022-09-29T00:00:00	2022-09-29T00:00:00	98516	98516	0	1	1	1
40041	Moderate-Vigorous - Weekend hour average	0	0	0	101	0	0	3	1	0	0		1020	0	93	0	0	0	0	The average proportion of time spent doing moderate-vigorous activity per hour across all weekend days. The data is stored as 24 comma seperated values, each representing an hour of the day, starting with 12am and ending with 11pm. Please use the fields in ~L1011~ to quality control participants for completeness of the accelerometry recording period and the related data fields for the corresponding proportion for the other activity levels. Where data was missing for a participant, the value was imputed from the available data as outlined in ~D2040~. Please see ~P5649~ for more details.	2022-09-29T00:00:00	2022-09-29T00:00:00	98516	98516	0	1	1	1
40042	Sleep - Day average	0	0	0	101	0	0	3	1	0	0		1020	0	93	0	0	0	0	The average proportion of time spent sleeping per day. The data is stored as 7 comma seperated values, each representing a day of the week, starting with Monday and ending with Sunday. Please use the fields in ~L1011~ to quality control participants for completeness of the accelerometry recording period and the related data fields for the corresponding proportion for the other activity levels. Where data was missing for a participant, the value was imputed from the available data as outlined in ~D2040~. Please see ~P5649~ for more details.	2022-09-29T00:00:00	2022-09-29T00:00:00	100107	100107	0	1	1	1
40043	Sedentary - Day average	0	0	0	101	0	0	3	1	0	0		1020	0	93	0	0	0	0	The average proportion of time spent sedentary per day. The data is stored as 7 comma seperated values, each representing a day of the week, starting with Monday and ending with Sunday. Please use the fields in ~L1011~ to quality control participants for completeness of the accelerometry recording period and the related data fields for the corresponding proportion for the other activity levels. Where data was missing for a participant, the value was imputed from the available data as outlined in ~D2040~. Please see ~P5649~ for more details.	2022-09-29T00:00:00	2022-09-29T00:00:00	100107	100107	0	1	1	1
40044	Light - Day average	0	0	0	101	0	0	3	1	0	0		1020	0	93	0	0	0	0	The average proportion of time spent doing light activity per day. The data is stored as 7 comma seperated values, each representing a day of the week, starting with Monday and ending with Sunday. Please use the fields in ~L1011~ to quality control participants for completeness of the accelerometry recording period and the related data fields for the corresponding proportion for the other activity levels. Where data was missing for a participant, the value was imputed from the available data as outlined in ~D2040~. Please see ~P5649~ for more details.	2022-09-29T00:00:00	2022-09-29T00:00:00	100107	100107	0	1	1	1
40045	Moderate-Vigorous - Day average	0	0	0	101	0	0	3	1	0	0		1020	0	93	0	0	0	0	The average proportion of time spent doing moderate-vigorous activity per day. The data is stored as 7 comma seperated values, each representing a day of the week, starting with Monday and ending with Sunday. Please use the fields in ~L1011~ to quality control participants for completeness of the accelerometry recording period and the related data fields for the corresponding proportion for the other activity levels. Where data was missing for a participant, the value was imputed from the available data as outlined in ~D2040~. Please see ~P5649~ for more details.	2022-09-29T00:00:00	2022-09-29T00:00:00	100107	100107	0	1	1	1
40046	Sleep - Overall average	0	0	0	31	0	0	3	1	0	0		1020	0	93	0	0	0	0	The overall average proportion of time spent sleeping across the monitoring period. Please use the fields in ~L1011~ to quality control participants for completeness of the accelerometry recording period and the related data fields for the corresponding proportion for the other activity levels. No imputation has been carried out and the averages represent the averages of the available data. See ~D2040~ for more information. Please see ~P5649~ for more details.	2022-09-29T00:00:00	2022-09-29T00:00:00	103614	103614	0	1	1	1
40047	Sedentary - Overall average	0	0	0	31	0	0	3	1	0	0		1020	0	93	0	0	0	0	The overall average proportion of time spent sedentary across the monitoring period. Please use the fields in ~L1011~ to quality control participants for completeness of the accelerometry recording period and the related data fields for the corresponding proportion for the other activity levels. No imputation has been carried out and the averages represent the averages of the available data. See ~D2040~ for more information. Please see ~P5649~ for more details.	2022-09-29T00:00:00	2022-09-29T00:00:00	103614	103614	0	1	1	1
40048	Light - Overall average	0	0	0	31	0	0	3	1	0	0		1020	0	93	0	0	0	0	The overall average proportion of time spent doing light activity across the monitoring period. Please use the fields in ~L1011~ to quality control participants for completeness of the accelerometry recording period and the related data fields for the corresponding proportion for the other activity levels. No imputation has been carried out and the averages represent the averages of the available data. See ~D2040~ for more information. Please see ~P5649~ for more details.	2022-09-29T00:00:00	2022-09-29T00:00:00	103614	103614	0	1	1	1
40049	Moderate-Vigorous - Overall average	0	0	0	31	0	0	3	1	0	0		1020	0	93	0	0	0	0	The overall average proportion of time spent doing moderate-vigorous activity across the monitoring period. Please use the fields in ~L1011~ to quality control participants for completeness of the accelerometry recording period and the related data fields for the corresponding proportion for the other activity levels. No imputation has been carried out and the averages represent the averages of the available data. See ~D2040~ for more information. Please see ~P5649~ for more details.	2022-09-29T00:00:00	2022-09-29T00:00:00	103614	103614	0	1	1	1
40060	Liver iron (Fe)	0	2	0	31	0	0	3	1	0	0	mg/g	126	0	2	2	3	0	0	Liver iron (Fe) derived from liver MRI scan. <br> <br>Derived variable provided by Perspectum (application #9914). See the following publication: <br> <br> Parisinos CA, Wilman HR, Thomas EL, et al. (2020) Genome-wide and Mendelian randomisation studies of liver MRI yield insights into the pathogenesis of steatohepatitis. J Hepatol. 73(2):241-251. doi: 10.1016/j.jhep.2020.03.032	2022-10-10T00:00:00	2022-10-12T00:00:00	40404	43032	150	1	1	1
40061	Proton density fat fraction (PDFF)	0	2	0	31	0	0	3	1	0	0	percent	126	0	2	2	3	0	0	Liver fat percentage is defined as : fat / ( water + fat ) <br> <br>Derived variable provided by Perspectum (application #9914). See the following publications: <br> <br>Wilman HR, Kelly M, Garratt S, et al. (2017) Characterisation of liver fat in the UK Biobank cohort. PLoS ONE 12(2): e0172921. doi:10.1371/journal.pone.0172921 <br> <br> Parisinos CA, Wilman HR, Thomas EL, et al. (2020) Genome-wide and Mendelian randomisation studies of liver MRI yield insights into the pathogenesis of steatohepatitis. J Hepatol. 73(2):241-251. doi: 10.1016/j.jhep.2020.03.032	2022-10-10T00:00:00	2022-10-12T00:00:00	40796	43325	130	1	1	1
40062	Liver iron corrected T1 (ct1)	0	2	0	31	0	0	3	1	0	0	msec	126	0	2	2	3	0	0	Liver iron corrected T1 (ct1) is measure of liver inflammation and fibrosis. <br> <br>Derived variable provided by Perspectum (application #9914) See the following publications: <br> <br>Mojtahed A, Kelly CJ, Herlihy AH, et al. (2019) Reference range of liver corrected T1 values in a population at low risk for fatty liver disease-a UK Biobank sub-study, with an appendix of interesting cases. Abdom Radiol (NY). 44(1):72-84. doi: 10.1007/s00261-018-1701-2 <br> <br>Parisinos CA, Wilman HR, Thomas EL, et al. (2020) Genome-wide and Mendelian randomisation studies of liver MRI yield insights into the pathogenesis of steatohepatitis. J Hepatol. 73(2):241-251. doi: 10.1016/j.jhep.2020.03.032	2022-10-10T00:00:00	2022-10-12T00:00:00	34334	36801	140	1	1	1
40063	Acquisition protocol	0	2	0	21	11	0	2	1	0	0		126	275	2	2	3	0	0	Acquisition protocol used to capture liver MRI images. <p>This data field gives the acquisition protocol used to capture liver MRI images as part of the analysis of ~F40060~, ~F40061~ and ~F40062~ in ~L126~ (Liver MRI). <p>Between 7 July 2016 and 30 October 2016 there was a gradual replacement of bulk data field 20203 "Liver imaging - gradient echo - DICOM" with bulk data field 20254 "Liver imaging - IDEAL protocol - DICOM". Both of these acquisitions are multi-echo gradient echo sequences from which measures of liver fat and liver iron can be derived. Due to this change in imaging protocol there may be systematic differences in derived measures which researchers may wish to take into account when relating to other measures. <p>"Proton density fat fraction (PDFF)" (~F40061~) is produced from analysis of either "Liver imaging - gradient echo - DICOM" (~F20203~) or "Liver imaging - IDEAL protocol - DICOM" (~F20254~). <p>"Liver iron (Fe)" (~F40060~) is produced from analysis of either "Liver imaging - gradient echo - DICOM" (~F20203~) or "Liver imaging - IDEAL protocol - DICOM" (~F20254~). <p>"Liver iron corrected T1 (ct1)" (~F40062~) is produced from analysis of "Liver Imaging - T1 ShMoLLI - DICOM" (~F20204~) and either "Liver imaging - gradient echo - DICOM" (~F20203~) or "Liver imaging - IDEAL protocol - DICOM" (~F20254~).	2023-02-17T00:00:00	2023-02-17T00:00:00	41691	44387	160	1	1	1
40100	Records of COVID-19 test results	0	2	0	11	0	30	0	0	0	0	records	999	0	0	0	0	0	0	Adding this field to a basket will grant access to the covid19_result_england, covid19_result_scotland and covid19_result_wales tables on the Data Portal. If included, the field will also appear in a main UK Biobank dataset where it will give a count of the number of rows for each participant across these three tables. <p> This field will also grant access to table covid19_misc in the Data Portal. This table gives participants' blood group extracted from imputed genotyped data (~F23165~) and was added in July 2020 as a result of the suggestion that blood group may affect COVID-19 outcomes. <p>Details of the structure of the above tables as well as the meaning of the encoded values used can be found by downloading the <a class="basic" href="/~bbdatan/C19_Test_Result_Data_Dictionary.xlsx">Covid-19 test result data dictionary</a>. <p>More details on linkage of microbiological samples to the UK Biobank are available at ~Ehttp://www.bugbank.uk/~. Please also see ~R1758~ for more detail about the PHE linkage for the English data. <p>Please note that prior to 6th July 2021, a small proportion (6.5%) of the records in the covid19_result_scotland table related to lateral flow device testing. These records have been removed and all data in this table now relate to PCR testing. In addition, some issues with linkage that affected 1.4% of records in the covid19_result_england table were identified, and these records were removed in early March 2023.	2020-03-18T00:00:00	2023-03-07T00:00:00	269115	269115	100	1	1	1
40101	GP clinical event records (TPP source)	1	1	1	11	0	30	0	0	0	0		996	0	0	0	0	0	0	Clinical events data and associated reference data from TPP (data provider) for COVID-19 related research only. Primary care (GP) data for COVID-19 research can no longer be downloaded since the the Control of Patient Information (COPI) notice expired in July 2022. <br> <br> These data were made available for COVID-19 related research only, in the COVID-19 TPP primary care clinical events table (covid19_tpp_gp_clinical) via the Data Portal. For information on structure, encodings, etc. please see ~R3151~. Additional reference information for numeric values is available in ~R951~.	2020-06-29T00:00:00	2020-07-31T00:00:00	189510	189510	110	0	1	0
40102	GP prescription records (TPP source)	1	2	1	11	0	30	0	0	0	0		996	0	0	0	0	0	0	Prescriptions data from TPP (data provider) for COVID-19 related research only. Primary care (GP) data for COVID-19 research can no longer be downloaded since the the Control of Patient Information (COPI) notice expired in July 2022. <br> <br>These data were made available for COVID-19 related research only, in the COVID-19 TPP primary care prescriptions table (covid19_tpp_gp_scripts) on the Data Portal. For information on structure, encodings, etc. please see ~R3151~.	2020-06-29T00:00:00	2020-07-31T00:00:00	184555	184555	130	0	1	0
40103	GP clinical event records (EMIS source)	1	2	1	11	0	30	0	0	0	0		996	0	0	0	0	0	0	Contains clinical events data from EMIS (data provider) for COVID-19 related research only. Primary care (GP) data for COVID-19 research can no longer be downloaded since the the Control of Patient Information (COPI) notice expired in July 2022. <br> <br>These data were made available for COVID-19 related research only, in the COVID-19 EMIS primary care clinical events table (covid19_emis_gp_clinical) via the Data Portal. For information on structure, encodings, etc. please see ~R3151~.	2020-06-29T00:00:00	2020-10-05T00:00:00	242145	242145	120	0	1	0
40104	GP prescription records (EMIS source)	1	2	1	11	0	30	0	0	0	0		996	0	0	0	0	0	0	Contains prescriptions data from EMIS (data provider) for COVID-19 related research only. Primary care (GP) data for COVID-19 research can no longer be downloaded since the the Control of Patient Information (COPI) notice expired in July 2022. <br> <br>These data were made available for COVID-19 EMIS primary care prescriptions table (covid19_emis_gp_scripts) on the Data Portal. For information on structure, encodings, etc. please see ~R3151~.	2020-06-29T00:00:00	2020-10-05T00:00:00	242329	242329	140	0	1	0
40425	Volume of DNA held by UKB	0	3	0	11	0	10	0	1	0	0	microlitres	100085	0	2	0	1	0	0	Volume held of "DNA" sample, derived from UK Biobank assessment centre visits.	2014-02-17T00:00:00	2014-06-04T00:00:00	170965	170965	0	1	1	1
41000	Case-control status for COVID19 imaging repeat	0	3	0	11	0	0	0	0	0	0		999	0	0	3	3	0	0	Provides a numeric value for every participant who has attended a repeat imaging appointment as part of the COVID-19 re-imaging study. The value comprises a unique identifier assigned to each case-control set followed by the last digit denoting the case-control status of that individual, where 0 is a control and 1 is a case. <br> <p> All Covid19 repeat imaging data is released under instance 3. <p>For more information on this field and the study eligibility and case-control matching see the Resource.	2021-02-18T00:00:00	2022-02-10T00:00:00	2092	2092	0	1	1	1
41001	Source of positive COVID test result	0	3	0	22	11	0	0	0	1	0		999	1400	0	3	3	0	3	Provides the diagnostic source of COVID-19 cases in the COVID-19 re-imaging study. We receive data from multiple sources on whether a participant has been diagnosed with COVID-19, comprising PCR test results, hospital inpatient admissions and GP records. Participants were also invited to undertake a home-based lateral flow test (LFT) to identify antibodies to SARS-CoV-2 infection and those who had antibodies from the virus were eligible as cases. Many participants have more than one diagnostic source.	2021-07-13T00:00:00	2022-02-10T00:00:00	1079	2173	0	1	1	1
41066	Episodes containing "Number of weeks of gestation" data	4	2	0	11	0	30	0	0	0	2	records	2003	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Number of weeks of gestation" information. Participants with zero records are not itemised. <p> Number of weeks of gestation is based on the World Health Organisation (WHO) definition, which specifies the time from the last menstrual period up until birth. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	16613	16613	500	1	1	1
41067	Episodes containing "Delivery place" data	4	2	0	11	0	30	0	0	0	2	records	2003	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Delivery place" information. Participants with zero records are not itemised. <p> Delivery place identifies where the birth took place. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	16609	16609	500	1	1	1
41068	Episodes containing "Delivery method" data	4	2	0	11	0	30	0	0	0	2	records	2003	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Delivery method" information. Participants with zero records are not itemised. <p> Delivery method identifies the way in which the baby was born. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	16613	16613	500	1	1	1
41069	Episodes containing "Birth order" data	4	2	0	11	0	30	0	0	0	2	records	2003	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Birth order" information. Participants with zero records are not itemised. <p> Birth order identifies the position in a sequence of births. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	16613	16613	500	1	1	1
41070	Episodes containing "Date of birth of baby" data	4	2	0	11	0	30	0	0	0	2	records	2003	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Date of birth of baby" information. Participants with zero records are not itemised. <p> This is the date when the birth took place. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	11065	11065	500	1	1	1
41071	Episodes containing "Status of baby at birth" data	4	2	0	11	0	30	0	0	0	2	records	2003	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Status of baby at birth" information. Participants with zero records are not itemised. <p> Status of baby identifies whether the baby was born alive or stillborn. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	16613	16613	500	1	1	1
41072	Episodes containing "Resuscitation method" data	4	2	0	11	0	30	0	0	0	2	records	2003	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Resuscitation method" information. Participants with zero records are not itemised. <p> Resuscitation method identifies whether any procedures were required to get the baby breathing normally. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	16613	16613	500	1	1	1
41073	Episodes containing "Sex of baby" data	4	2	0	11	0	30	0	0	0	2	records	2003	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Sex of baby" information. Participants with zero records are not itemised. <p> Sex of baby determines whether the baby was male or female. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	15508	15508	500	1	1	1
41074	Episodes containing "Weight of baby" data	4	2	0	11	0	30	0	0	0	2	records	2003	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Weight of baby" information. Participants with zero records are not itemised. <p> Weight of baby identifies how much the baby weighed immediately after birth. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	16592	16592	500	1	1	1
41075	Episodes containing "Status of person conducting delivery" data	4	2	0	11	0	30	0	0	0	2	records	2003	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Status of person conducting delivery" information. Participants with zero records are not itemised. <p> Status of person conducting delivery identifies whether a doctor, GP or midwife was present at the birth. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	16613	16613	500	1	1	1
41076	Episodes containing "Diagnoses - secondary ICD9" data	4	2	0	11	0	30	0	0	0	0	records	2002	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Diagnoses - ICD9" information. Participants with zero records are not itemised. <p> Diagnoses are coded according to the International Classification of Diseases version-9 (ICD9). <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	8709	8709	0	1	1	1
41077	Episodes containing "Diagnoses - secondary ICD9 addendum" data	4	2	0	11	0	30	0	0	0	0	records	2002	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Diagnoses - ICD9 addendum" information. Participants with zero records are not itemised.<p> Addendum are special characters or local codes which have been affixed to the ICD code, but do not have universal definition. They have been preserved to reflect the true state of the data. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2000-01-01T00:00:00	-1	-1	0	1	1	1
41078	Episodes containing "Diagnoses - secondary ICD10" data	4	2	0	11	0	30	0	0	0	0	records	2002	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Diagnoses - ICD10" information. Participants with zero records are not itemised.<p> Diagnoses are coded according to the International Classification of Diseases version-10 (ICD10). <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	346096	346096	0	1	1	1
41079	Episodes containing "Diagnoses - secondary ICD10 addendum" data	4	2	0	11	0	30	0	0	0	0	records	2002	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Diagnoses - ICD10 addendum" information. Participants with zero records are not itemised. <p>Addendum data consists of special characters affixed to the ICD code, encoded with ~C41~. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	4742	4742	0	1	1	1
41080	Episodes containing "Operative procedures - secondary OPCS4" data	4	2	0	11	0	30	0	0	0	0	records	2005	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Operative procedures - secondary OPCS4" information. Participants with zero records are not itemised. <p> Operative procedures are coded according to the Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 4 (OPCS-4). <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	367340	367340	160	1	1	1
41081	Episodes containing "Operative procedures - secondary OPCS4 addendum" data	4	2	0	11	0	30	0	0	0	0	records	2005	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Operative Procedures - secondary OPCS4 addendum" information. Participants with zero records are not itemised. <p> Addendum are special characters or local codes which have been affixed to the OPCS code, but do not have universal definition. They have been preserved to reflect the true state of the data. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2000-01-01T00:00:00	-1	-1	170	1	1	1
41082	Episodes containing "Dates of operations" data	4	2	0	11	0	30	0	0	0	0	records	2005	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Dates of operations" information. Participants with zero records are not itemised. <p> This field corresponds to secondary operations and procedures only. (For main operations, see ~F41148~ - Episodes containing "Date of operation" data.) <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	353916	353916	110	1	1	1
41083	Episodes containing "Episode start date" data	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Episode start date" information. Participants with zero records are not itemised. <p> Episode start date identifies when the period of care under a particular consultant commenced. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	409864	409864	500	1	1	1
41084	Episodes containing "Episode end date" data	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Episode end date" information. Participants with zero records are not itemised. <p>Episode end date identifies when the period of care under a particular consultant finished. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	409859	409859	500	1	1	1
41085	Episodes containing "Duration of episode" data	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Duration of episode" information. Participants with zero records are not itemised. <p>Duration of episode identifies the length of time a patient was under the care of particular consultant (i.e. the difference between the episode start and end date). <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	413510	413510	500	1	1	1
41086	Episodes containing "Episode order" data	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Episode order" information. Participants with zero records are not itemised. <p> Episode order identifies the sequence of Episodes within a hospital Spell. A Spell in hospital should start with episode order 1. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	382394	382394	500	1	1	1
41087	Episodes containing "Episode status" data	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Episode status" information. Participants with zero records are not itemised. <p>Episode status identifies whether the episode has finished before the end of the HES data year (31 March) or if the patient is still under a period of care. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	366282	366282	500	1	1	1
41088	Episodes containing "Duration of episode within HES data year" data	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Duration of episode within HES data year" information. Participants with zero records are not itemised. <p> Duration of episode within HES data year identifies the length of time a patient was under the care of particular consultant within one year. For episodes which start and end within one HES data year, the value is the same as episode duration. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	366273	366273	500	1	1	1
41089	Episodes containing "Beginning of spell indicator" data	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Beginning of spell indicator" information. Participants with zero records are not itemised. <p> Beginning of spell indicator identifies whether the episode is the first episode of the spell and if the spell started in the current or previous HES data year. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	366274	366274	500	1	1	1
41090	Episodes containing "End of spell indicator" data	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "End of spell indicator" information. Participants with zero records are not itemised. <p> End of spell indicator identifies whether the episode is the last episode of the spell or not. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	366282	366282	500	1	1	1
41091	Episodes containing "Duration of spell" data	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Duration of spell" information. Participants with zero records are not itemised. <p> Duration of spell identifies the total length of time a patient was in hospital (i.e. the difference between admission and discharge date). <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	382299	382299	500	1	1	1
41092	Episodes containing "Current PCT responsible for patient" data	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Current PCT responsible for patient" information. Participants with zero records are not itemised. <p> A PCT (Primary Care Trust) is an administrative body responsible for commissioning health services within an area. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	320139	320139	500	1	1	1
41093	Episodes containing "PCT where patients GP was registered" data	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "PCT where patients GP was registered" information. Participants with zero records are not itemised. <p> A PCT (Primary Care Trust) is an administrative body responsible for commissioning health services within an area. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	366282	366282	500	1	1	1
41094	Episodes containing "Administrative and legal status of patient" data	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Administrative and legal status of patient" information. Participants with zero records are not itemised. <p>Administrative and legal status identifies whether a patient has been formally detained under the Mental Health Act or not. <p><i>This information is not present in HES records dated after 2001.</i> <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	148556	148556	500	1	1	1
41095	Episodes containing "Date of decision to admit to hospital" data	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Date of decision to admit to hospital" information. Participants with zero records are not itemised. <p> Date of decision to admit to hospital identifies the point in time when a consultant or other member of clinical staff decided it was necessary to admit the patient. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	361406	361406	500	1	1	1
41096	Episodes containing "Date of admission to hospital" data	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Date of admission to hospital" information. Participants with zero records are not itemised. <p> Date of admission to hospital identifies when the spell in hospital commenced. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	402874	402874	500	1	1	1
41097	Episodes containing "Waiting time for hospital admission" data	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Waiting time for hospital admission" information. Participants with zero records are not itemised. <p> Waiting time for hospital admission is the time taken between the decision was made to admit the patient and their actual admission date. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	356230	356230	500	1	1	1
41098	Episodes containing "Method of admission to hospital" data (polymorphic)	4	2	0	11	0	30	2	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Method of admission to hospital" information. Participants with zero records are not itemised. <p> Method of admission to hospital identifies how a patient was admitted, e.g. an elective admission from a waiting list or an emergency admission, etc. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41252~) using the source-specific codings ~C202~, ~C241~, ~C242~ and ~C252~. It is recommended that the re-coded ~F41236~ is used instead of this one.	2013-06-25T00:00:00	2019-03-08T00:00:00	413522	413522	500	1	1	1
41099	Episodes containing "Source of admission to hospital" data (polymorphic)	4	2	0	11	0	30	2	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Source of admission to hospital" information. Participants with zero records are not itemised. <p> Source of admission identifies whether a patient came to the hospital from their usual place of residence or elsewhere. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41252~) using the source-specific codings ~C203~, ~C243~, ~C244~ and ~C253~. It is recommended that the re-coded ~F41237~ is used instead of this one.	2013-06-25T00:00:00	2019-03-08T00:00:00	413522	413522	500	1	1	1
41100	Episodes containing "First regular day or night of admission to hosp" data	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "First regular day or night of admission to hosp" information. Participants with zero records are not itemised. <p> First regular day or night of admission to hospital data identifies whether the episode is the first in a sequence of regular day and night admissions, or whether it is a subsequent episode within such a sequence. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	215272	215272	500	1	1	1
41101	Episodes containing "Date of discharge from hospital" data	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Date of discharge from hospital" information. Participants with zero records are not itemised. <p> Date of discharge from hospital identifies when the spell in hospital ended. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	402801	402801	500	1	1	1
41102	Episodes containing "Method of discharge from hospital" data (polymorphic)	4	2	0	11	0	30	2	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Method of discharge from hospital" information. Participants with zero records are not itemised. <p> Method of discharge from hospital identifies how a patient was discharged i.e. whether this was on clinical advice, the patient died in hospital or the patient discharged themselves. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41252~) using the source-specific codings ~C206~, ~C248~, ~C249~ and ~C256~. It is recommended that the re-coded ~F41238~ is used instead of this one.	2013-06-25T00:00:00	2019-03-08T00:00:00	413520	413520	500	1	1	1
41103	Episodes containing "Destination on discharge from hospital" data (polymorphic)	4	2	0	11	0	30	2	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Destination on discharge from hospital" information. Participants with zero records are not itemised. <p> Destination on discharge identifies whether a patient was due to return to their usual place of residence on leaving hospital, or whether they were due to go elsewhere. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41252~) using the source-specific codings ~C205~, ~C247~ and ~C255~. It is recommended that the re-coded ~F41248~ is used instead of this one.	2013-06-25T00:00:00	2019-03-08T00:00:00	409870	409870	500	1	1	1
41104	Episodes containing "External cause - ICD10" data	4	2	0	11	0	30	0	0	0	0	records	2002	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "External cause - ICD10" information. Participants with zero records are not itemised. <p> An external cause is an environmental event causing injury, poisoning or other type of adverse effect. External causes are coded according to the International Classification of Diseases version-10 (ICD10). <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	77436	77436	0	1	1	1
41105	Episodes containing "External cause - ICD10 addendum" data	4	2	0	11	0	30	0	0	0	0	records	2002	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "External cause - ICD10 addendum" information. Participants with zero records are not itemised. <p>Addendum data consists of special characters affixed to the ICD code, encoded with ~C41~. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	176	176	0	1	1	1
41106	Episodes containing "Operation status" data	4	2	0	11	0	30	0	0	0	0	records	2005	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Operation status" information. Participants with zero records are not itemised. <p> This field indicates whether an operative procedure was carried out during the episode or not. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	322403	322403	200	1	1	1
41107	Episodes containing "Duration of post-operative stay" data	4	2	0	11	0	30	0	0	0	0	records	2005	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Duration of post-operative stay" information. Participants with zero records are not itemised. <p> This is the time between the operation being carried out and the end date of the episode. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	351710	351710	120	1	1	1
41108	Episodes containing "Duration of pre-operative stay" data	4	2	0	11	0	30	0	0	0	0	records	2005	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Duration of pre-operative stay" information. Participants with zero records are not itemised. <p> This is the time between the episode start date and the date at which the operation was carried out. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	351724	351724	130	1	1	1
41109	Episodes containing "Patient classification on admission" data (polymorphic)	4	2	0	11	0	30	2	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Patient classification on admission" information. Participants with zero records are not itemised. <p> Patient classification on admission identifies the type of patient, e.g. whether they are a regular attender or a maternity admission, etc. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41252~) using the source-specific codings ~C208~, ~C245~, ~C246~ and ~C254~. It is recommended that the re-coded ~F41240~ is used instead of this one.	2013-06-25T00:00:00	2019-03-08T00:00:00	409871	409871	0	1	1	1
41110	Episodes containing "Intended management of patient" data (polymorphic)	4	2	0	11	0	30	2	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Intended management of patient" information. Participants with zero records are not itemised. <p> The intended management of a patient is their planned duration of hospital stay, i.e. whether an overnight stay was anticipated or not. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41252~) using the source-specific codings ~C209~ and ~C260~. It is recommended that the re-coded ~F41241~ is used instead of this one.	2013-06-25T00:00:00	2019-03-08T00:00:00	382389	382389	0	1	1	1
41111	Episodes containing "Main speciality of consultant" data (polymorphic)	4	2	0	11	0	30	2	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Main speciality of consultant" information. Participants with zero records are not itemised. <p> The main speciality of the consultant is specialism under which the consultant is contracted e.g. cardiology or geriatric medicine, etc. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41252~) using the source-specific codings ~C210~ and ~C258~. It is recommended that the re-coded ~F41242~ is used instead of this one.	2013-06-25T00:00:00	2019-03-08T00:00:00	382385	382385	0	1	1	1
41112	Episodes containing "Treatment speciality of consultant" data (polymorphic)	4	2	0	11	0	30	2	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Treatment speciality of consultant" information. Participants with zero records are not itemised. <p> The treatment speciality of the consultant is specialism under which the consultant was working e.g. cardiology or geriatric medicine, etc. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41252~) using the source-specific codings ~C211~, ~C250~, ~C251~ and ~C257~. It is recommended that the re-coded ~F41243~ is used instead of this one.	2013-06-25T00:00:00	2019-03-08T00:00:00	413520	413520	0	1	1	1
41113	Episodes containing "Date of first antenatal assessment" data	4	2	0	11	0	30	0	0	0	2	records	2003	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Date of first antenatal assessment" information. Participants with zero records are not itemised. <p> Date of first antenatal assessment is the date when the pregnancy was first assessed and arrangements for antenatal care were made. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	10159	10159	500	1	1	1
41114	Episodes containing "Gestation period at first antenatal assessment" data	4	2	0	11	0	30	0	0	0	2	records	2003	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Gestation period at first antenatal assessment" information. Participants with zero records are not itemised. <p> Gestation period at first antenatal assessment is the time from the last menstrual period to the date when the pregnancy was first assessed. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	8147	8147	500	1	1	1
41115	Episodes containing "Antenatal stay" data	4	2	0	11	0	30	0	0	0	2	records	2003	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Antenatal stay" information. Participants with zero records are not itemised. <p> Antenatal stay is the number of days between the start of the maternity episode and the delivery of the first baby. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	11032	11032	500	1	1	1
41116	Episodes containing "Intended delivery place" data	4	2	0	11	0	30	0	0	0	2	records	2003	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Intended delivery place" information. Participants with zero records are not itemised. <p> Intended delivery place identifies where the birth was planned to take place. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	16613	16613	500	1	1	1
41117	Episodes containing "Reason for changing delivery place" data	4	2	0	11	0	30	0	0	0	2	records	2003	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Reason for changing delivery place" information. Participants with zero records are not itemised. <p> Reason for changing delivery place identifies whether a change in where the birth took place was due to clinical or other matters. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	16613	16613	500	1	1	1
41118	Episodes containing "Anaesthetic administered during delivery" data	4	2	0	11	0	30	0	0	0	2	records	2003	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Anaesthetic administered during delivery" information. Participants with zero records are not itemised. <p> This field identifies, for example, whether a general anaesthetic or an epidural was administered either before or during labour. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	16613	16613	500	1	1	1
41119	Episodes containing "Anaesthetic administered post delivery" data	4	2	0	11	0	30	0	0	0	2	records	2003	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Anaesthetic delivered post delivery" information. Participants with zero records are not itemised. <p> This field identifies, for example, whether a general anaesthetic or an epidural was administered after labour. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	16613	16613	500	1	1	1
41120	Episodes containing "Delivery onset method" data	4	2	0	11	0	30	0	0	0	2	records	2003	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Delivery onset method" information. Participants with zero records are not itemised. <p> Delivery onset method identifies whether the onset of labour was spontaneous or clinically induced. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	16613	16613	500	1	1	1
41121	Episodes containing "Number of babies delivered from single pregnancy" data	4	2	0	11	0	30	0	0	0	2	records	2003	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Number of babies delivered from single pregnancy" information. Participants with zero records are not itemised. <p> This is the number of babies delivered from a single pregnancy and includes both live and stillborn babies. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	16613	16613	500	1	1	1
41122	Episodes containing "Postnatal stay" data	4	2	0	11	0	30	0	0	0	2	records	2003	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Postnatal stay" information. Participants with zero records are not itemised. <p> Postnatal stay is the number of days between the birth of the baby and the episode end date. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	10972	10972	500	1	1	1
41123	Episodes containing "Level of neonatal care" data	4	2	0	11	0	30	0	0	0	2	records	2003	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Level of neonatal care" information. Participants with zero records are not itemised. <p> Level of neonatal care identifies whether the new born baby was given normal care or required special or intensive care. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	195968	195968	500	1	1	1
41124	Episodes containing "Mother age on date of delivery" data	4	2	0	11	0	30	0	0	0	2	records	2003	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Mother age on date of delivery" information. Participants with zero records are not itemised. <p> This field contains the mothers age on the date of delivery. This is calculated from the mother's date of birth and the birth date of the first baby. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	11063	11063	500	1	1	1
41125	Episodes containing "Number of previous pregnancies" data	4	2	0	11	0	30	0	0	0	2	records	2003	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Number of previous pregnancies" information. Participants with zero records are not itemised. <p> This field contains the number of previous pregnancies, which includes all previous pregnancies which resulted in a registerable birth. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	16611	16611	500	1	1	1
41126	Episodes containing "Carer support indicator" data	4	2	0	11	0	30	0	0	0	0	records	2004	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Carer support indicator" information. Participants with zero records are not itemised. <p> Carer support indicator identifies whether a carer is available to the patient at their usual place of residence. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	366282	366282	500	1	1	1
41127	Episodes containing "Detention date" data	4	2	0	11	0	30	0	0	0	0	records	2004	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Detention date" information. Participants with zero records are not itemised. <p> This is the date when the person was first detained in the current continuous period of detention. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	18	18	500	1	1	1
41128	Episodes containing "Detention category" data	4	2	0	11	0	30	0	0	0	0	records	2004	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Detention category" information. Participants with zero records are not itemised. <p> Detention category identifies the legislation under which the person was detained. <p><i> This information is not present in HES records dated after 2001.</i> <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	42590	42590	500	1	1	1
41129	Episodes containing "Mental category of patient" data	4	2	0	11	0	30	0	0	0	0	records	2004	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Mental category of patient" information. Participants with zero records are not itemised. <p> The mental categories are in accordance with the Mental Health Act 1983. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	22	22	500	1	1	1
41130	Episodes containing "History of psychiatric care on admission" data	4	2	0	11	0	30	0	0	0	0	records	2004	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "History of psychiatric care on admission" information. Participants with zero records are not itemised. <p> History of psychiatric care identifies whether a patient has previously had a psychiatric episode in hospital or not. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	366281	366281	500	1	1	1
41131	Episodes containing "Legal status of patient" data	4	2	0	11	0	30	0	0	0	0	records	2004	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Legal status of patient" information. Participants with zero records are not itemised. <p> Legal status determines whether the person was formally or informally detained at the date of psychiatric census. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	5	5	500	1	1	1
41132	Episodes containing "Episode type" data	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Episode type" information. Participants with zero records are not itemised. <p> Episode type identifies whether the period of care in hospital was a general episode or (for example) a psychiatric episode. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	366282	366282	500	1	1	1
41142	Episodes containing "Diagnoses - main ICD10" data	4	2	0	11	0	30	0	0	0	0	records	2002	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Diagnoses - main ICD10" information. Participants with zero records are not itemised. <p> Diagnoses are coded according to the International Classification of Diseases version-10 (ICD10). <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	410164	410164	0	1	1	1
41143	Episodes containing "Diagnoses - main ICD10 - addendum" data	4	2	0	11	0	30	0	0	0	0	records	2002	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Diagnoses - main ICD10 - addendum" information. Participants with zero records are not itemised. <p> Addendum data consists of special characters affixed to the ICD code, encoded with ~C41~. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	3296	3296	0	1	1	1
41144	Episodes containing "Diagnoses - main ICD9" data	4	2	0	11	0	30	0	0	0	0	records	2002	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Diagnoses - main ICD9" information. Participants with zero records are not itemised. <p> Diagnoses are coded according to the International Classification of Diseases version-9 (ICD9). <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	20296	20296	0	1	1	1
41145	Episodes containing "Diagnoses - main ICD9 - addendum" data	4	2	0	11	0	30	0	0	0	0	records	2002	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Diagnoses - main ICD9 - addendum" information. Participants with zero records are not itemised. <p> Addendum are special characters or local codes which have been affixed to the ICD code, but do not have universal definition. They have been preserved to reflect the true state of the data. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2000-01-01T00:00:00	-1	-1	0	1	1	1
41146	Episodes containing "Operative procedure - main OPCS4" data	4	2	0	11	0	30	0	0	0	0	records	2005	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Operative procedure - main OPCS" information. Participants with zero records are not itemised. <p> Operative procedures are coded according to the Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 4 (OPCS-4). <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	410104	410104	140	1	1	1
41147	Episodes containing "Operative procedure - main OPCS4 - addendum" data	4	2	0	11	0	30	0	0	0	0	records	2005	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Operative procedure - main OPCS - addendum" information. Participants with zero records are not itemised. <p> Addendum are special characters or local codes which have been affixed to the OPCS code, but do not have a universal definition. They have been preserved to reflect the true state of the data. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2000-01-01T00:00:00	-1	-1	150	1	1	1
41148	Episodes containing "Date of operation" data	4	2	0	11	0	30	0	0	0	0	records	2005	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Date of operation" information. Participants with zero records are not itemised. <p> This date corresponds to the main operation only. (For secondary operations and procedures, see ~F41082~ - Episodes containing "Dates of operations" data.) <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2013-06-25T00:00:00	2019-03-08T00:00:00	397367	397367	100	1	1	1
41149	Records in HES inpatient operations dataset	0	3	0	11	0	30	3	0	0	0	records	2006	0	0	0	0	0	0	Adding this field to a basket will grant access to the HESIN_OPER table on the Data Portal. See the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_OPER table. <p>If included, the field will also appear in a main UK Biobank dataset where it will give a count of the number of rows for each participant in the HESIN_OPER table.	2019-05-21T00:00:00	2023-03-06T00:00:00	446148	446148	120	1	1	1
41200	Operative procedures - main OPCS4	0	3	0	22	41	0	0	0	1	0		2005	240	0	0	0	0	55	This field is a summary of the main operation and procedure codes a participant has had recorded across all their hospital inpatient records. Operative procedures are coded according to the Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 4 (OPCS-4). <p>The corresponding date when each main procedure was first recorded in the inpatient data can be found in ~F41260~.	2013-06-25T00:00:00	2023-03-07T00:00:00	445153	2282465	140	1	1	1
41201	External causes - ICD10	0	3	0	22	41	0	0	0	1	0		2002	19	0	0	0	0	21	This field is a summary of the distinct external cause codes a participant has had recorded across all their episodes in hospital. An external cause is an environmental event causing injury, poisoning or other type of adverse effect. External causes are coded according to the International Classification of Diseases version-10 (ICD-10). <p>In the record-level hospital inpatient data the external cause codes appear in the DIAG_ICD10 field of the HESIN_DIAG table with LEVEL=3. <p>In order to conduct detailed analyses of the data using the source information, researchers will need to gain access to the HESIN_DIAG and HESIN tables by adding ~F41234~ and ~F41259~ to their basket.	2013-06-25T00:00:00	2023-03-07T00:00:00	113765	166843	200	1	1	1
41202	Diagnoses - main ICD10	0	3	0	22	41	0	0	0	1	0		2002	19	0	0	0	0	79	This field is a summary of the distinct primary/main diagnosis codes a participant has had recorded across all their hospital inpatient records. Diagnoses are coded according to the International Classification of Diseases version-10 (ICD-10). <p>The corresponding date each diagnosis code was first recorded in the inpatient data as the primary/main diagnosis can be found in data-field ~F41262~.	2013-06-25T00:00:00	2023-03-07T00:00:00	444998	2429806	140	1	1	1
41203	Diagnoses - main ICD9	0	3	0	22	41	0	0	0	1	0		2002	87	0	0	0	0	27	This field is a summary of the distinct primary/main diagnosis codes a participant has had recorded across all their hospital inpatient records. Diagnoses are coded according to the International Classification of Diseases version-9 (ICD-9). <p> The corresponding date each primary/main diagnosis code was first recorded in each participant's hospital inpatient records is given in ~F41263~. <p>Please note ICD-9 coded hospital inpatient data are only available for older Scottish hospital records.	2013-06-25T00:00:00	2021-01-21T00:00:00	20298	42817	160	1	1	1
41204	Diagnoses - secondary ICD10	0	3	0	22	41	0	0	0	1	0		2002	19	0	0	0	0	209	This field is a summary of the distinct secondary diagnoses codes a participant has had recorded across all their hospital inpatient records. Diagnoses are coded according to the International Classification of Diseases version-10 (ICD-10). There is no corresponding field available giving the first date that each code appeared in a secondary position. <p>If you are interested in ICD-10 diagnoses recorded as either a primary or secondary diagnosis, please see ~F41270~, and its corresponding date ~F41280~. <p>In order to conduct detailed analyses of the data using the source information, researchers will need to gain access to the HESIN_DIAG and HESIN tables by adding ~F41234~ and ~F41259~ to their basket.	2013-06-25T00:00:00	2023-03-07T00:00:00	396776	4737205	180	1	1	1
41205	Diagnoses - secondary ICD9	0	3	0	22	41	0	0	0	1	0		2002	87	0	0	0	0	29	This field is a summary of the distinct secondary diagnoses codes a participant has had recorded across all their hospital inpatient records. Diagnoses are coded according to the International Classification of Diseases version-9 (ICD-9). There is no corresponding field giving the first date that each code appeared in a secondary position. <p>If you are interested in ICD-9 diagnoses recorded as either a primary or secondary diagnosis, please see ~F41271~, and its corresponding date ~F41281~. <p>In order to conduct detailed analyses of the data using the source information, researchers will need to gain access to the HESIN_DIAG and HESIN tables by adding ~F41234~ and ~F41259~ to their basket. <p>Please note ICD-9 coded hospital inpatient data are only available for older Scottish hospital records.	2013-06-25T00:00:00	2021-01-21T00:00:00	8712	17283	190	1	1	1
41206	Intended management of patient (polymorphic)	0	3	0	41	0	0	2	0	1	0		2001	0	0	0	0	0	6	This field is a summary of the distinct intended management codes a participant has had recorded in their hospital inpatient records. The intended management of a patient is their planned duration of hospital stay, i.e. whether an overnight stay was anticipated or not. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of the items is known (see ~F41253~) using the source-specific codings ~C209~ and ~C260~. It is recommended that the re-coded ~F41244~ is used instead of this one. <p>This field corresponds to the field INTMANAG on the HESIN table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN table by adding ~F41259~ to their basket.	2013-06-27T00:00:00	2023-03-07T00:00:00	415758	882705	150	1	1	1
41207	Main speciality of consultant (polymorphic)	0	3	0	41	0	0	2	0	1	0		2001	0	0	0	0	0	19	This field is a summary of the distinct consultant speciality codes a participant has had recorded in their hospital inpatient records. The main speciality of the consultant is the specialism under which the consultant is contracted, e.g. cardiology or geriatric medicine, etc. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of the items is known (see ~F41253~) using the source-specific codings ~C210~ and ~C258~. It is recommended that the re-coded ~F41245~ is used instead of this one. <p>This field corresponds to the field MAINSPEF on the HESIN table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN table by adding ~F41259~ to their basket.	2013-06-27T00:00:00	2023-03-07T00:00:00	415758	1485878	170	1	1	1
41208	Treatment speciality of consultant (polymorphic)	0	3	0	41	0	0	2	0	1	0		2001	0	0	0	0	0	21	This field is a summary of the distinct treatment speciality codes a participant has had recorded in their hospital inpatient records. The treatment speciality of the consultant is the specialism under which the consultant was working, e.g. cardiology or geriatric medicine, etc. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41253~) using the source-specific codings ~C211~, ~C250~, ~C251~ and ~C257~. It is recommended that the re-coded ~F41246~ is used instead of this one. <p>This field corresponds to the field TRETSPEF on the HESIN table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN table by adding ~F41259~ to their basket.	2013-06-27T00:00:00	2023-03-07T00:00:00	447960	1645657	300	1	1	1
41209	Patient classification on admission (polymorphic)	0	3	0	41	0	0	2	0	1	0		2001	0	0	0	0	0	6	This field is a summary of the distinct patient classification codes a participant has had recorded in their hospital inpatient records. Patient classification on admission identifies the type of patient, e.g. whether they are a regular attender or a maternity admission, etc. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41253~) using the source-specific codings ~C208~, ~C245~, ~C246~ and ~C254~. It is recommended that the re-coded ~F41247~ is used instead of this one. <p>This field corresponds to the field CLASSPAT on the HESIN table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN table by adding ~F41259~ to their basket.	2013-06-27T00:00:00	2023-03-07T00:00:00	445415	770243	250	1	1	1
41210	Operative procedures - secondary OPCS4	0	3	0	22	41	0	0	0	1	0		2005	240	0	0	0	0	104	This field is a summary of the secondary operation and procedure codes a participant has had recorded in their hospital inpatient records. Operative procedures are coded according to the Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 4 (OPCS-4). <p>This field has no corresponding date field. If you are interested in operation and procedure codes (OPCS-4) recorded as either a main or secondary procedure please see ~F41272~, and its corresponding date ~F41282~. <p>In order to conduct detailed analyses of the data using the source information, researchers will need to gain access to the HESIN_OPER and HESIN tables by adding ~F41149~ and ~F41259~ to their basket.	2013-06-27T00:00:00	2023-03-07T00:00:00	415314	3122603	160	1	1	1
41211	Destinations on discharge from hospital (polymorphic)	0	3	0	41	0	0	2	0	1	0		2001	0	0	0	0	0	11	This field is a summary of the distinct destination on discharge codes a participant has had recorded in their hospital inpatient records. Destination on discharge identifies whether a patient was due to return to their usual place of residence on leaving hospital, or whether they were due to go elsewhere. <p>This field corresponds to the field DISDEST on the HESIN table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN table. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of the items is known (see ~F41253~) using the source-specific codings ~C205~, ~C247~ and ~C255~. It is recommended that the re-coded ~F41248~ is used instead of this one. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN tables by adding ~F41259~ to their basket.	2013-06-27T00:00:00	2023-03-07T00:00:00	445416	651818	120	1	1	1
41212	Methods of admission to hospital (polymorphic)	0	3	0	41	0	0	2	0	1	0		2001	0	0	0	0	0	14	This field is a summary of the distinct method of admission codes a participant has had recorded in their hospital inpatient records. Method of admission to hospital identifies how a patient was admitted, e.g. an elective admission from a waiting list or an emergency admission, etc. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41253~) using the source-specific codings ~C202~, ~C241~, ~C242~ and ~C252~. It is recommended that the re-coded ~F41249~ is used instead of this one. <p>This field corresponds to the field ADMIMETH on the HESIN table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN table by adding ~F41259~ to their basket.	2013-06-27T00:00:00	2023-03-07T00:00:00	447962	1244246	190	1	1	1
41213	Methods of discharge from hospital (polymorphic)	0	3	0	41	0	0	2	0	1	0		2001	0	0	0	0	0	9	This field is a summary of the distinct method of discharge codes a participant has had recorded in their hospital inpatient records. Method of discharge from hospital identifies how a patient was discharged - i.e. whether this was on clinical advice, the patient died in hospital or the patient discharged themselves. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41253~) using the source-specific codings ~C206~, ~C248~, ~C249~ and ~C256~. It is recommended that the re-coded ~F41250~ is used instead of this one. <p>This field corresponds to the field DISMETH on the HESIN table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN table by adding ~F41259~ to their basket.	2013-06-27T00:00:00	2023-03-07T00:00:00	447962	631279	210	1	1	1
41214	Carer support indicators	0	3	0	22	11	0	0	0	1	0		2004	227	0	0	0	0	2	This field is a summary of the distinct carer support indicator codes a participant has had recorded across all their episodes in hospital. The carer support indicator identifies whether a carer is available to the patient at their usual place of residence. <p>This field corresponds to the field CARERSI on the HESIN table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN table by adding ~F41259~ to their basket.	2013-06-27T00:00:00	2023-03-06T00:00:00	399567	554312	110	1	1	1
41215	Detention categories	0	3	0	22	11	0	0	0	1	0		2004	230	0	0	0	0	1	This field is a summary of the distinct detention category codes a participant has had recorded in their hospital inpatient records. The detention category identifies the legislation under which the person was detained. <p>This field corresponds to the field DETNCAT on the HESIN_PSYCH table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_PSYCH table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_PSYCH and HESIN tables by adding ~F41289~ and ~F41259~ to their basket.	2013-06-27T00:00:00	2019-08-16T00:00:00	42596	43091	120	1	1	1
41216	Legal statuses	0	3	0	22	11	0	0	0	1	0		2004	231	0	0	0	0	1	This field is a summary of the distinct legal status codes a participant has had recorded in their hospital inpatient records. Legal status determines whether the patient was formally or informally detained at the date of the psychiatric census. <p>This field corresponds to the field LEGLSTAT on the HESIN_PSYCH table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_PSYCH table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_PSYCH and HESIN tables by adding ~F41289~ and ~F41259~ to their basket.	2013-06-27T00:00:00	2021-01-21T00:00:00	8	9	150	1	1	1
41217	Mental categories	0	3	0	22	11	0	0	0	1	0		2004	228	0	0	0	0	1	This field is a summary of the distinct mental category codes a participant has had recorded in their hospital inpatient records. The mental categories are in accordance with the Mental Health Act 1983. <p>This field corresponds to the field MENTCAT on the HESIN_PSYCH table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_PSYCH table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_PSYCH and HESIN tables by adding ~F41289~ and ~F41259~ to their basket.	2013-06-27T00:00:00	2021-01-21T00:00:00	25	26	160	1	1	1
41218	History of psychiatric care on admission	0	3	0	22	11	0	0	0	1	0		2004	229	0	0	0	0	4	This field is a summary of the distinct history of psychiatric care codes a participant has had recorded in their hospital inpatient records. History of psychiatric care identifies whether a patient has previously had a psychiatric episode in hospital or not. <p>This field corresponds to the field ADMISTAT on the HESIN_PSYCH table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_PSYCH table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_PSYCH and HESIN tables by adding ~F41289~ and ~F41259~ to their basket.	2013-06-27T00:00:00	2023-03-06T00:00:00	399566	453102	140	1	1	1
41219	Anaesthetics administered during delivery	0	3	0	22	11	0	0	0	1	2		2003	212	0	0	0	0	3	This field is a summary of the distinct anaesthetics during delivery codes a participant has had recorded in their hospital inpatient records. This field identifies, for example, whether a general anaesthetic or an epidural was administered either before or during labour. <p>This field corresponds to the field DELPREAN on the HESIN_MATERNITY table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_MATERNITY table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_MATERNITY and HESIN tables by adding ~F41261~ and ~F41259~ to their basket.	2013-06-28T00:00:00	2023-03-02T00:00:00	16660	21630	260	1	1	1
41220	Anaesthetics administered post delivery	0	3	0	22	11	0	0	0	1	2		2003	212	0	0	0	0	3	This field is a summary of the distinct anaesthetics post delivery codes a participant has had recorded recorded in their hospital inpatient records. This field identifies, for example, whether a general anaesthetic or an epidural was administered after labour or not. <p>This field corresponds to the field DELPOSAN on the HESIN_MATERNITY table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_MATERNITY table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_MATERNITY and HESIN tables by adding ~F41261~ and ~F41259~ to their basket.	2013-06-28T00:00:00	2023-03-02T00:00:00	16660	20447	270	1	1	1
41221	Delivery methods	0	3	0	22	41	0	0	0	1	2		2003	216	0	0	0	0	4	This field is a summary of the distinct delivery method codes a participant has had recorded in their hospital inpatient records. Delivery method identifies the way in which the baby was born. <p>This field corresponds to the field DELMETH on the HESIN_DELIVERY table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_DELIVERY table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_ DELIVERY and HESIN tables by adding ~F41264~ and ~F41259~ to their basket.	2013-06-28T00:00:00	2023-03-07T00:00:00	16658	22626	280	1	1	1
41222	Delivery onset methods	0	3	0	22	11	0	0	0	1	2		2003	220	0	0	0	0	4	This field is a summary of the distinct delivery onset method codes a participant has had recorded in their hospital inpatient records. Delivery onset method identifies whether the onset of labour was spontaneous or clinically induced. <p>This field corresponds to the field DELONSET on the HESIN_MATERNITY table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_MATERNITY table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_MATERNITY and HESIN tables by adding ~F41261~ and ~F41259~ to their basket.	2013-06-28T00:00:00	2023-03-02T00:00:00	16660	21765	290	1	1	1
41223	Delivery places	0	3	0	22	11	0	0	0	1	2		2003	217	0	0	0	0	3	This field is a summary of the distinct delivery place codes a participant has had recorded in their hospital inpatient records. Delivery place identifies where the birth took place. <p>This field corresponds to the field DELPLAC on the HESIN_DELIVERY table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_DELIVERY table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_ DELIVERY and HESIN tables by adding ~F41264~ and ~F41259~ to their basket.	2013-06-28T00:00:00	2021-01-21T00:00:00	16612	21018	300	1	1	1
41224	Intended delivery places	0	3	0	22	11	0	0	0	1	2		2003	217	0	0	0	0	3	This field is a summary of the distinct intended delivery place codes a participant has had recorded in their hospital inpatient records. Intended delivery place identifies where the birth was planned to take place. <p>This field corresponds to the field DELINTEN on the HESIN_MATERNITY table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_MATERNITY table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_MATERNITY and HESIN tables by adding ~F41261~ and ~F41259~ to their basket.	2013-06-28T00:00:00	2023-03-02T00:00:00	16660	20827	310	1	1	1
41225	Resuscitation methods	0	3	0	22	11	0	0	0	1	2		2003	223	0	0	0	0	4	This field is a summary of the distinct resuscitation method codes a participant has had recorded in their hospital inpatient records. Resuscitation method identifies whether any procedures were required to get the newborn baby breathing normally. <p>This field corresponds to the field BIRESUS on the HESIN_DELIVERY table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_DELIVERY table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_ DELIVERY and HESIN tables by adding ~F41264~ and ~F41259~ to their basket.	2013-06-28T00:00:00	2023-03-02T00:00:00	16659	21394	320	1	1	1
41226	Sex of baby	0	3	0	22	11	0	0	0	1	2		2003	224	0	0	0	0	2	This field is a summary of the distinct sex of baby codes a participant has had recorded in their hospital inpatient records. Sex of baby indicates whether the baby was male or female. <p>This field corresponds to the field SEXBABY on the HESIN_DELIVERY table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_DELIVERY table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_ DELIVERY and HESIN tables by adding ~F41264~ and ~F41259~ to their basket.	2013-06-28T00:00:00	2021-01-21T00:00:00	15513	18669	330	1	1	1
41227	Status of baby at birth	0	3	0	22	11	0	0	0	1	2		2003	219	0	0	0	0	2	This field is a summary of the distinct status of baby at birth codes a participant has had recorded in their hospital inpatient records. Status of baby identifies whether the baby was born alive or stillborn. <p>This field corresponds to the field BIRSTAT on the HESIN_DELIVERY table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_DELIVERY table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_ DELIVERY and HESIN tables by adding ~F41264~ and ~F41259~ to their basket.	2013-06-28T00:00:00	2021-01-21T00:00:00	16616	20592	340	1	1	1
41228	Statuses of person conducting delivery	0	3	0	22	11	0	0	0	1	2		2003	225	0	0	0	0	3	This field is a summary of the distinct status of person conducting delivery codes a participant has had recorded in their hospital inpatient records. Status of person conducting delivery identifies whether a doctor, GP or midwife was present at the birth. <p>This field corresponds to the field DELSTAT on the HESIN_DELIVERY table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_DELIVERY table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_ DELIVERY and HESIN tables by adding ~F41264~ and ~F41259~ to their basket.	2013-06-28T00:00:00	2023-03-02T00:00:00	16659	21417	350	1	1	1
41229	PCT responsible for patient data	0	3	0	22	41	0	0	0	1	0		2001	239	0	0	0	0	5	This field is a summary of the distinct "Current PCT responsible for patient" codes a participant has had recorded in their hospital inpatient records. The PCT code identifies the administrative body with whom the patient is registered. <p>This field corresponds to the field PCTCODE on the HESIN table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN table by adding ~F41259~ to their basket.	2013-06-28T00:00:00	2021-06-30T00:00:00	362999	392469	230	1	1	1
41230	PCT where patients GP was registered	0	3	0	22	41	0	0	0	1	0		2001	239	0	0	0	0	7	This field is a summary of the distinct Primary Care Trust (PCT) codes of the participant's GP practice that were recorded in their hospital inpatient records. The PCT code identifies the administrative body where the patient's GP practice is registered. <p>This field corresponds to the field GPPRPCT on the HESIN table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN table by adding ~F41259~ to their basket.	2013-06-28T00:00:00	2021-06-30T00:00:00	391977	572414	240	1	1	1
41231	Hospital episode type	0	3	0	22	11	0	0	0	1	0		2001	238	0	0	0	0	2	This field is a summary of the distinct episode type codes a participant has had recorded in their hospital inpatient records. Hospital episode type identifies whether the period of care in hospital was a general episode or a psychiatric episode, for example. This field is only present in English inpatient data. <p>This field corresponds to the field EPITYPE on the HESIN table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN table by adding ~F41259~ to their basket.	2013-06-28T00:00:00	2023-03-06T00:00:00	399567	412999	140	1	1	1
41232	Administrative and legal statuses	0	3	0	22	11	0	0	0	1	0		2001	201	0	0	0	0	3	This field is a summary of the distinct administrative and legal status codes a participant has had recorded in their hospital inpatient records. Administrative and legal status identifies whether a patient has been formally detained under the Mental Health Act or not. This information is not present in HES records dated after 2001. <p>This field corresponds to the field CATEGORY on the HESIN table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN table by adding ~F41259~ to their basket.	2013-06-28T00:00:00	2021-01-21T00:00:00	148579	153076	110	1	1	1
41233	Sources of admission to hospital (polymorphic)	0	3	0	41	0	0	2	0	1	0		2001	0	0	0	0	0	15	This field is a summary of the distinct source of admission codes a participant has had recorded in their hospital inpatient records. Source of admission identifies whether a patient came to the hospital from their usual place of residence or elsewhere. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. The values in this field can therefore only be interpreted when the source of each item is known (see ~F41253~) using the source-specific codings ~C203~, ~C243~, ~C244~ and ~C253~. It is recommended that the re-coded ~F41251~ is used instead of this one. <p>This field corresponds to the field ADMISORC on the HESIN table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN table by adding ~F41259~ to their basket.	2013-06-28T00:00:00	2023-03-07T00:00:00	447962	555258	270	1	1	1
41234	Records in HES inpatient diagnoses dataset	0	3	0	11	0	30	3	0	0	0	records	2006	0	0	0	0	0	0	Adding this field to a basket will grant access to the HESIN_DIAG table on the Data Portal. See the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_DIAG table. <p>If included, the field will also appear in a main UK Biobank dataset where it will give a count of the number of rows for each participant in the HESIN_DIAG table.	2019-05-21T00:00:00	2023-03-06T00:00:00	447267	447267	110	1	1	1
41235	Spells in hospital	0	3	0	11	0	0	3	0	0	0	Spells	2001	0	0	0	0	0	0	This field holds the total number of known spells a participant has had in hospital, as derived from all of their available hospital Episode records. As the data does not always permit Episodes to be unambiguously amalgamated into Spells, the figures are approximate. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN table by adding ~F41259~ to their basket.	2013-07-25T00:00:00	2014-07-02T00:00:00	330360	330360	290	1	1	1
41236	Episodes containing "Method of admission to hospital" data (recoded)	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Method of admission to hospital" information. Participants with zero records are not itemised. <p> Method of admission to hospital identifies how a patient was admitted, e.g. an elective admission from a waiting list or an emergency admission, etc. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts (the original data equivalent is available as ~F41098~).	2013-06-25T00:00:00	2019-03-08T00:00:00	413522	413522	500	1	1	1
41237	Episodes containing "Source of admission to hospital" data (recoded)	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Source of admission to hospital" information. Participants with zero records are not itemised. <p> Source of admission identifies whether a patient came to the hospital from their usual place of residence or elsewhere. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts (the original data equivalent is available as ~F41099~).	2013-06-25T00:00:00	2019-03-08T00:00:00	413522	413522	500	1	1	1
41238	Episodes containing "Method of discharge from hospital" data (recoded)	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Method of discharge from hospital" information. Participants with zero records are not itemised. <p> Method of discharge from hospital identifies how a patient was discharged i.e. whether this was on clinical advice, the patient died in hospital or the patient discharged themselves. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts (the original data equivalent is available as ~F41102~).	2013-06-25T00:00:00	2019-03-08T00:00:00	413520	413520	500	1	1	1
41239	Episodes containing "Destination on discharge from hospital" data (recoded)	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Destination on discharge from hospital" information. Participants with zero records are not itemised. <p> Destination on discharge identifies whether a patient was due to return to their usual place of residence on leaving hospital, or whether they were due to go elsewhere. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts (the original data equivalent is available as ~F41103~).	2013-06-25T00:00:00	2019-03-08T00:00:00	409870	409870	500	1	1	1
41240	Episodes containing "Patient classification on admission" data (recoded)	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Patient classification on admission" information. Participants with zero records are not itemised. <p> Patient classification on admission identifies the type of patient, e.g. whether they are a regular attender or a maternity admission, etc. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts (the original data equivalent is available as ~F41109~).	2013-06-25T00:00:00	2019-03-08T00:00:00	409871	409871	0	1	1	1
41241	Episodes containing "Intended management of patient" data (recoded)	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Intended management of patient" information. Participants with zero records are not itemised. <p> The intended management of a patient is their planned duration of hospital stay, i.e. whether an overnight stay was anticipated or not. <p>In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts (the original data equivalent is available as ~F41110~).	2013-06-25T00:00:00	2019-03-08T00:00:00	382389	382389	0	1	1	1
41242	Episodes containing "Main speciality of consultant" data (recoded)	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Main speciality of consultant" information. Participants with zero records are not itemised. <p> The main speciality of the consultant is specialism under which the consultant is contracted e.g. cardiology or geriatric medicine, etc. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts (the original data equivalent is available as ~F41111~).	2013-06-25T00:00:00	2019-03-08T00:00:00	382385	382385	0	1	1	1
41243	Episodes containing "Treatment speciality of consultant" data (recoded)	4	2	0	11	0	30	0	0	0	0	records	2000	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Treatment speciality of consultant" information. Participants with zero records are not itemised. <p> The treatment speciality of the consultant is specialism under which the consultant was working e.g. cardiology or geriatric medicine, etc. <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts (the original data equivalent is available as ~F41112~).	2013-06-25T00:00:00	2019-03-08T00:00:00	413520	413520	0	1	1	1
41244	Intended management of patient (recoded)	0	3	0	22	11	0	0	0	1	0		2001	271	0	0	0	0	6	This field is a summary of the distinct intended management codes a participant has had recorded in their hospital inpatient records. The intended management of a patient is their planned duration of hospital stay, i.e. whether an overnight stay was anticipated or not. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts. <p>This field corresponds to the field INTMANAG_UNI on the HESIN table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN table by adding ~F41259~ to their basket.	2013-06-27T00:00:00	2023-03-06T00:00:00	415759	882712	160	1	1	1
41245	Main speciality of consultant (recoded)	0	3	0	22	11	0	0	0	1	0		2001	270	0	0	0	0	19	This field is a summary of the distinct consultant speciality codes a participant has had recorded in their hospital inpatient records. The main speciality of the consultant is the specialism under which the consultant is contracted, e.g. cardiology or geriatric medicine, etc. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts. <p>This field corresponds to the field MAINSPEF_UNI on the HESIN table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN table by adding ~F41259~ to their basket.	2013-06-27T00:00:00	2023-03-06T00:00:00	415759	1485888	180	1	1	1
41246	Treatment speciality of consultant (recoded)	0	3	0	22	11	0	0	0	1	0		2001	269	0	0	0	0	21	This field is a summary of the distinct treatment speciality codes a participant has had recorded in their hospital inpatient records. The treatment speciality of the consultant is specialism under which the consultant was working, e.g. cardiology or geriatric medicine, etc. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts. <p>This field corresponds to the field TRETSPEF_UNI on the HESIN table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN table by adding ~F41259~ to their basket.	2013-06-27T00:00:00	2023-03-06T00:00:00	447961	1629936	310	1	1	1
41247	Patient classification on admission (recoded)	0	3	0	22	11	0	0	0	1	0		2001	266	0	0	0	0	6	This field is a summary of the distinct patient classification codes a participant has had recorded in their hospital inpatient records. Patient classification on admission identifies the type of patient, e.g. whether they are a regular attender or a maternity admission, etc. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts. <p>This field corresponds to the field CLASSPAT_UNI on the HESIN table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN table by adding ~F41259~ to their basket.	2013-06-27T00:00:00	2023-03-06T00:00:00	445416	770644	260	1	1	1
41248	Destinations on discharge from hospital (recoded)	0	3	0	22	11	0	0	0	1	0		2001	267	0	0	0	0	10	This field is a summary of the distinct destination on discharge codes a participant has had recorded in their hospital inpatient records. Destination on discharge identifies whether a patient was due to return to their usual place of residence on leaving hospital, or whether they were due to go elsewhere. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts. <p>This field corresponds to the field DISDEST_UNI on the HESIN table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN table by adding ~F41259~ to their basket.	2013-06-27T00:00:00	2023-03-06T00:00:00	445417	649756	130	1	1	1
41249	Methods of admission to hospital (recoded)	0	3	0	22	11	0	0	0	1	0		2001	264	0	0	0	0	11	This field is a summary of the distinct method of admission codes a participant has had recorded in their hospital inpatient records. Method of admission to hospital identifies how a patient was admitted, e.g. an elective admission from a waiting list or an emergency admission, etc. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts. <p>This field corresponds to the field ADMIMETH_UNI on the HESIN table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN table by adding ~F41259~ to their basket.	2013-06-27T00:00:00	2023-03-06T00:00:00	447963	1239395	200	1	1	1
41250	Methods of discharge from hospital (recoded)	0	3	0	22	11	0	0	0	1	0		2001	268	0	0	0	0	6	This field is a summary of the distinct method of discharge codes a participant has had recorded in their hospital inpatient records. Method of discharge from hospital identifies how a patient was discharged - i.e. whether this was on clinical advice, the patient died in hospital or the patient discharged themselves. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts. <p>This field corresponds to the field DISMETH_UNI on the HESIN table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN table by adding ~F41259~ to their basket.	2013-06-27T00:00:00	2023-03-06T00:00:00	447963	620352	220	1	1	1
41251	Sources of admission to hospital (recoded)	0	3	0	22	11	0	0	0	1	0		2001	265	0	0	0	0	10	This field is a summary of the distinct source of admission codes a participant has had recorded in their hospital inpatient records. Source of admission identifies whether a patient came to the hospital from their usual place of residence or elsewhere. <p>Note that the original information was obtained from a variety of external sources, some of which used overlapping and contradictory coding schemes. This field has been re-coded to remove such data conflicts. <p>This field corresponds to the field ADMISORC_UNI on the HESIN table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN table by adding ~F41259~ to their basket.	2013-06-28T00:00:00	2023-03-06T00:00:00	447963	535376	280	1	1	1
41252	Episodes containing "Inpatient record format" data	4	2	0	11	0	30	2	0	0	0	records	2000	0	0	0	0	0	0	All Health Episode Statistics (HES) records contain this field - it is presented here simply to allow researchers to select the underlying data for analysis. In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2014-03-24T00:00:00	2019-03-08T00:00:00	413522	413522	350	1	1	1
41253	Inpatient record format	0	2	0	22	11	0	2	0	1	0		2001	263	0	0	0	0	5	This field shows, for each participant, the formats of the data in which the original hospital inpatient records were supplied to UK Biobank. <p>This field corresponds to the field SOURCE on the HESIN table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN table by adding ~F41259~ to their basket.	2014-03-24T00:00:00	2023-03-06T00:00:00	447963	1024165	340	1	1	1
41254	Episodes containing "Inpatient record origin"	4	2	0	11	0	0	0	0	0	0		2000	0	0	0	0	0	0	All Health Episode Statistics (HES) records contain this field - it is presented here simply to allow researchers to select the underlying data for analysis. In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2018-03-20T00:00:00	2019-03-08T00:00:00	413522	413522	330	1	1	1
41255	Episodes containing "Operative procedure - main OPCS3" data	4	3	0	11	0	0	0	0	0	0	records	2005	0	0	0	0	0	0	This field indicates (for each participant) the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Operative procedure - main OPCS3" information. Participants with zero records are not itemised. <p> Operative procedures are coded according to the Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 3 (OPCS-3). <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2019-01-15T00:00:00	2019-03-08T00:00:00	10697	10697	180	1	1	1
41256	Operative procedures - main OPCS3	0	3	0	22	41	0	0	0	1	0		2005	259	0	0	0	0	12	This field is a summary of the main operation and procedure codes a participant has had recorded across all their hospital inpatient records. Operative procedures are coded according to the Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 3 (OPCS-3). <p>The corresponding date when each procedure was first recorded in the inpatient data can be found in ~F41257~. <p>Please note OPCS-3 coded hospital inpatient data are only available for older Scottish hospital records.	2019-01-15T00:00:00	2021-01-21T00:00:00	10699	15451	170	1	1	1
41257	Date of first operative procedure - main OPCS3	0	3	0	51	0	0	0	0	1	0		2005	0	0	0	0	0	12	This field provides, for each participant, the dates when each of the main procedures in ~F41256~ was first recorded in the participant's hospital inpatient records. The date can be linked to ~F41256~ by using the array structure. <p> Please note that we have opted to populate this data-field with the episode start date (EPISTART in the HESIN table) or, if that was missing, the admission start date (ADMIDATE in the HESIN table) rather than use the operation date (OPDATE in the HESIN_OPER table). The rationale for this was: <ul> <li>around 1 in 5 primary procedures lacked a corresponding value for OPDATE in HESIN_OPER;</li> <br> <li>some recorded OPDATEs were inconsistent with the other date fields such as EPISTART, ADMIDATE, EPIEND and DISDATE (most likely due to data entry errors);</li> <br> <li>for those episodes with a value for OPDATE recorded the majority were the same as the value of EPISTART, with around 99% of OPDATE values within 7 days of the value of EPISTART;</li> <br> <li>values of EPISTART/ADMIDATE are more complete and thus may provide greater consistency across data providers.</li> </ul> <p>See the Operations tab of the Hospital Inpatient Data Dictionary (~R141140~) for further information about these fields. <p>Please note OPCS-3 coded hospital inpatient data are only available for older Scottish hospital records.	2019-01-15T00:00:00	2021-01-21T00:00:00	10699	15451	180	1	1	1
41258	Operative procedures - secondary OPCS3	0	3	0	22	41	0	0	0	1	0		2005	259	0	0	0	0	4	This field is a summary of the secondary operation and procedure codes a participant has had recorded in their hospital inpatient records. Operative procedures are coded according to the Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 3 (OPCS-3). <p>This field has no corresponding date field. If you are interested in operation and procedure codes (OPCS-3) recorded as either a main or secondary procedure please see ~F41273~, and its corresponding date ~F41283~. <p>In order to conduct detailed analyses of the data using the source information, researchers will need to gain access to the HESIN_OPER and HESIN tables by adding ~F41149~ and ~F41259~ to their basket. <p>Please note OPCS-3 coded hospital inpatient data are only available for older Scottish hospital records.	2019-01-15T00:00:00	2019-03-08T00:00:00	2970	3355	190	1	1	1
41259	Records in HES inpatient main dataset	0	3	0	11	0	30	3	0	0	0	records	2006	0	0	0	0	0	0	Adding this field to a basket will grant access to the HESIN table on the Data Portal. See the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN table. <p>If included, the field will also appear in a main UK Biobank dataset where it will give a count of the number of rows for each participant in the HESIN table.	2019-05-21T00:00:00	2023-03-06T00:00:00	447971	447971	100	1	1	1
41260	Date of first operative procedure - main OPCS4	0	3	0	51	0	0	0	0	1	0		2005	0	0	0	0	0	55	This field provides, for each participant, the dates when each of the main procedures in ~F41200~ was first recorded in the participant's hospital inpatient records. The date can be linked to ~F41200~ by using the array structure. <p> Please note that we have opted to populate this data-field with the episode start date (EPISTART in the HESIN table) or, if that was missing, the admission start date (ADMIDATE in the HESIN table) rather than use the operation date (OPDATE in the HESIN_OPER table). The rationale for this was: <ul> <li>around 1 in 5 primary procedures lacked a corresponding value for OPDATE in HESIN_OPER;</li> <br> <li>some recorded OPDATEs were inconsistent with the other date fields such as EPISTART, ADMIDATE, EPIEND and DISDATE (most likely due to data entry errors);</li> <br> <li>for those episodes with a value for OPDATE recorded the majority were the same as the value of EPISTART, with around 99% of OPDATE values within 7 days of the value of EPISTART;</li> <br> <li>values of EPISTART/ADMIDATE are more complete and thus may provide greater consistency across data providers.</li> </ul> <p>See the Operations tab of the Hospital Inpatient Data Dictionary (~R141140~) for further information about these fields.	2019-01-04T00:00:00	2023-03-06T00:00:00	445148	2282425	150	1	1	1
41261	Records in HES inpatient maternity dataset	0	3	0	11	0	30	3	0	0	0	records	2006	0	0	0	0	0	0	Adding this field to a basket will grant access to the HESIN_MATERNITY table on the Data Portal. See the Inpatient data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_MATERNITY table. <p>If included, the field will also appear in a main UK Biobank dataset where it will give a count of the number of rows for each participant in the HESIN_MATERNITY table.	2019-05-21T00:00:00	2023-03-02T00:00:00	16659	16659	140	1	1	1
41262	Date of first in-patient diagnosis - main ICD10	0	1	0	51	0	0	0	0	1	0		2002	0	0	0	0	0	79	This field provides, for each participant, the date each ICD-10 diagnosis code was first recorded in the primary/main position in the participant's hospital inpatient records (in the field DIAG_ICD10 in the HESIN_DIAG table). <p>The date given is the episode start date (the EPISTART field on the HESIN table), or if this was missing the admission date (the ADMIDATE field on the HESIN table). See the Inpatient data Dictionary (~R141140~) in ~L2000~ for information about the HESIN and HESIN_DIAG tables. <p>The corresponding primary/main ICD10 diagnosis codes can be found in ~F41202~ and the two fields can be linked using the array structure.	2019-01-02T00:00:00	2023-03-06T00:00:00	444997	2429771	150	1	1	1
41263	Date of first in-patient diagnosis - main ICD9	0	3	0	51	0	0	0	0	1	0		2002	0	0	0	0	0	27	This field provides, for each participant, the date each ICD-9 diagnosis code was first recorded in the primary/main position in the participant's hospital inpatient records (in the field DIAG_ICD9 in the HESIN_DIAG table). <p>The date given is the episode start date (the EPISTART field on the HESIN table), or if this was missing the admission date (the ADMIDATE field on the HESIN table). See the Inpatient data Dictionary (~R141140~) in ~L2000~ for information about the HESIN and HESIN_DIAG tables. <p>The corresponding ICD-9 diagnosis codes can be found in data-field ~F41203~ and the two fields can be linked using the array structure. Please note ICD-9 coded hospital inpatient data are only available for older Scottish hospital records.	2019-01-02T00:00:00	2021-01-21T00:00:00	20298	42817	170	1	1	1
41264	Records in HES inpatient delivery dataset	0	3	0	11	0	30	3	0	0	0	records	2006	0	0	0	0	0	0	Adding this field to a basket will grant access to the HESIN_DELIVERY table on the Data Portal. See the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_DELIVERY table. <p>This table does not contain the date of birth of the baby (unlike the restricted HESIN_BIRTH table, see ~F41265~). Note that joining a record in HESIN_DELIVERY with the episode/admission date information in the main HESIN table will, in the vast majority of cases, provide a good approximation of the date of birth of a child. <p>If included, the field will also appear in a main UK Biobank dataset where it will give a count of the number of rows for each participant in the HESIN_DELIVERY table.	2019-05-21T00:00:00	2023-03-02T00:00:00	16658	16658	150	1	1	1
41265	Records in HES inpatient birth dataset	0	3	1	11	0	30	3	0	0	0	records	2006	0	0	0	0	0	0	Adding this field to a basket, once a project is approved to do so, will grant access to the HESIN_BIRTH table on the Data Portal. <p>HESIN_BIRTH is an expanded version of HESIN_DELIVERY (~F41264~) containing all of the fields from that table plus a field giving the date of birth of the child. As the date of birth field is considered sensitive, access to this table will only be given where there is special reason why access to HESIN_DELIVERY is insufficient to meet the needs of a particular research project. <p>Note that joining a record in HESIN_DELIVERY with the episode/admission date information in the main HESIN table will, in the vast majority of cases, provide a good approximation of the date of birth of a child. <p>See the Inpatient Data Dictionary (~R141140~) in ~L2000~ for further information about the HESIN_BIRTH and HESIN_DELIVERY tables. <p>If included, the field will also appear in a main UK Biobank dataset, where it will give a count of the number of rows for each participant in the HESIN_BIRTH table.	2019-05-21T00:00:00	2023-03-02T00:00:00	16658	16658	160	1	1	1
41266	Number of babies delivered from single pregnancy	0	3	0	21	41	0	0	0	1	0		2003	221	0	0	0	0	3	This field is a summary of the values of the number of babies delivered from a single pregnancy a participant has had recorded in their hospital inpatient records. <p>This field corresponds to the field NUMBABY on the HESIN_MATERNITY table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_MATERNITY table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_MATERNITY and HESIN tables by adding ~F41261~ and ~F41259~ to their basket.	2019-05-21T00:00:00	2021-01-21T00:00:00	16615	20862	230	1	1	1
41267	Number of previous pregnancies	0	3	0	11	0	0	0	0	1	0		2003	222	0	0	0	0	5	This field is a summary of the number of previous pregnancies a participant has had recorded in their hospital inpatient records. <p>This field corresponds to the field NUMPREG on the HESIN_MATERNITY table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_MATERNITY table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_MATERNITY and HESIN tables by adding ~F41261~ and ~F41259~ to their basket.	2019-05-21T00:00:00	2023-03-02T00:00:00	16654	20700	240	1	1	1
41268	Date of first antenatal assessment	0	3	0	51	0	0	0	0	1	0		2003	0	0	0	0	0	5	This field is a summary of the dates of the first antenatal assessment a participant has had recorded in their hospital inpatient records. <p>This field corresponds to the field ANASDATE on the HESIN_MATERNITY table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_MATERNITY table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_MATERNITY and HESIN tables by adding ~F41261~ and ~F41259~ to their basket.	2019-05-21T00:00:00	2021-01-21T00:00:00	10166	12991	150	1	1	1
41269	Gestation period at first antenatal assessment	0	3	0	11	0	0	0	0	1	0	weeks	2003	0	0	0	0	0	3	This field is a summary of the values of the gestation period at the first antenatal assessment a participant has had recorded in their hospital inpatient records. <p>This field corresponds to the field ANAGEST on the HESIN_MATERNITY table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_MATERNITY table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_MATERNITY and HESIN tables by adding ~F41261~ and ~F41259~ to their basket.	2019-05-21T00:00:00	2021-01-21T00:00:00	8154	9642	190	1	1	1
41270	Diagnoses - ICD10	0	3	0	22	41	0	0	0	1	0		2002	19	0	0	0	0	258	This field is a summary of the distinct diagnosis codes a participant has had recorded across all their hospital inpatient records in either the primary or secondary position. Diagnoses are coded according to the International Classification of Disease version 10 (ICD-10). <p> The corresponding date each diagnosis was first recorded across all their episodes in hospital is given in ~F41280~.	2019-01-02T00:00:00	2023-03-07T00:00:00	445002	6888115	100	1	1	1
41271	Diagnoses - ICD9	0	3	0	22	41	0	0	0	1	0		2002	87	0	0	0	0	46	This field is a summary of the distinct diagnosis codes a participant has had recorded across all their hospital inpatient records in either the primary or secondary position. Diagnoses are coded according to the International Classification of Disease version 9 (ICD-9). <p>The corresponding date each diagnosis was first recorded in each participant's hospital inpatient records is given in ~F41281~. <p>Please note ICD-9 coded hospital inpatient data are only available for older Scottish hospital records.	2019-01-02T00:00:00	2021-01-21T00:00:00	20298	58683	120	1	1	1
41272	Operative procedures - OPCS4	0	3	0	22	41	0	0	0	1	0		2005	240	0	0	0	0	125	This field is a summary of the operation and procedure codes a participant has had recorded across all their hospital inpatient records in either the main or secondary position. Operative procedures are coded according to the Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 4 (OPCS-4). <p>The corresponding date when each procedure was first recorded in the inpatient data can be found in ~F41282~.	2019-01-02T00:00:00	2023-03-07T00:00:00	445153	5305940	100	1	1	1
41273	Operative procedures - OPCS3	0	3	0	22	41	0	0	0	1	0		2005	259	0	0	0	0	15	This field is a summary of the operation and procedure codes a participant has had recorded across all their hospital inpatient records in either the main or secondary position. Operative procedures are coded according to the Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 3 (OPCS-3). <p>The corresponding date when each procedure was first recorded in the inpatient data can be found in ~F41283~. <p>Please note OPCS-3 coded hospital inpatient data are only available for older Scottish hospital records.	2019-01-02T00:00:00	2021-01-21T00:00:00	10699	18579	120	1	1	1
41274	Episodes containing "Operative procedures - secondary OPCS3" data	4	3	0	11	0	0	0	0	0	0	records	2005	0	0	0	0	0	0	This field indicates for each participant the number of in-patient Health Episode Statistics (HES) records in the UKB repository which contain "Operative procedures - secondary OPCS 3" information. Participants with zero records are not itemised. Operative procedures are coded according to the Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 3 (OPCS-3). <p> In order to conduct analyses using this information, researchers must include this data-field in their application, however access will be given in-situ rather than as a download.	2019-01-02T00:00:00	2019-03-08T00:00:00	2970	2970	190	1	1	1
41275	Duration of antenatal stay	0	3	0	11	0	0	0	0	1	0	days	2003	0	0	0	0	0	3	This field is a summary of the durations of an antenatal stay a participant has had recorded in their hospital inpatient records. <p>This field corresponds to the field ANTEDUR on the HESIN_MATERNITY table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_DELIVERY table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_MATERNITY and HESIN tables by adding ~F41261~ and ~F41259~ to their basket.	2019-05-21T00:00:00	2021-01-21T00:00:00	11035	12579	170	1	1	1
41276	Number of weeks of gestation	0	2	0	11	0	0	0	0	1	2	weeks	2003	218	0	0	0	0	4	This is the number of weeks completed gestation, based upon an average 40 week gestation. <p>This field corresponds to the field GESTAT on the HESIN_DELIVERY table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_DELIVERY table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_ DELIVERY and HESIN tables by adding ~F41264~ and ~F41259~ to their basket.	2019-06-11T00:00:00	2023-03-02T00:00:00	16658	22392	0	1	1	1
41277	Reason for changing delivery place	0	3	0	21	11	0	0	0	1	0		2003	215	0	0	0	0	3	This field is a summary of the reason for changing delivery place that a participant has had recorded in their hospital inpatient records. <p>This field corresponds to the field DELCHANG on the HESIN_MATERNITY table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_MATERNITY table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_MATERNITY and HESIN tables by adding ~F41261~ and ~F41259~ to their basket.	2019-05-21T00:00:00	2023-03-02T00:00:00	16659	20189	250	1	1	1
41278	Birth order	0	2	0	21	41	0	0	0	1	0		2003	213	0	0	0	0	4	The position of a baby in the sequence of births. This item appears for each baby on multiple birth delivery records. <p>This field corresponds to the field BIRORDR on the HESIN_DELIVERY table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_DELIVERY table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_ DELIVERY and HESIN tables by adding ~F41264~ and ~F41259~ to their basket.	2019-06-11T00:00:00	2021-01-21T00:00:00	16615	21265	0	1	1	1
41279	Detention date	0	2	0	51	0	0	0	0	1	0		2004	0	0	0	0	0	1	For patients under a detention order at the date of the census, this field contains the date at which the first order commenced in the current continuous period of detention. Where the detention order is held by a hospital other than where the patient is at the date of the census, the latter is responsible for obtaining information relating to the detention order, and submitting the data.	2019-06-11T00:00:00	2021-01-21T00:00:00	22	24	130	1	1	1
41280	Date of first in-patient diagnosis - ICD10	0	3	0	51	0	0	0	0	1	0		2002	0	0	0	0	0	258	This field provides, for each participant, the date each ICD-10 diagnosis code was first recorded in either the primary or secondary position in the participant's hospital inpatient records (in the field DIAG_ICD10 in the HESIN_DIAG table). <p>The date given is the episode start date (the EPISTART field on the HESIN table), or if this was missing the admission date (the ADMIDATE field on the HESIN table). See the Inpatient data Dictionary (~R141140~) in ~L2000~ for information about the HESIN and HESIN_DIAG tables. <p>The corresponding ICD-10 diagnosis codes can be found in data-field ~F41270~ and the two fields can be linked using the array structure.	2019-01-02T00:00:00	2023-03-06T00:00:00	445001	6888031	110	1	1	1
41281	Date of first in-patient diagnosis - ICD9	0	3	0	51	0	0	0	0	1	0		2002	0	0	0	0	0	46	This field provides, for each participant, the date each ICD-9 diagnosis code was first recorded as a primary or secondary diagnosis in the participant's hospital inpatient records (in the field DIAG_ICD9 in the HESIN_DIAG table). <p>The date given is the episode start date (the EPISTART field on the HESIN table), or if this was missing the admission date (the ADMIDATE field on the HESIN table). See the Inpatient data Dictionary (~R141140~) in ~L2000~ for information about the HESIN and HESIN_DIAG tables. <p>The corresponding ICD-9 diagnosis codes can be found in data-field ~F41271~ and the two fields can be linked using the array structure. <p> Please note ICD-9 coded hospital data are only available for older Scottish hospital records.	2019-01-02T00:00:00	2021-01-21T00:00:00	20298	58683	130	1	1	1
41282	Date of first operative procedure - OPCS4	0	3	0	51	0	0	0	0	1	0		2005	0	0	0	0	0	125	This field provides, for each participant, the dates when each of the procedures in ~F41272~ was first recorded in the participant's hospital inpatient records (in either the main or a secondary position). The date can be linked to ~F41272~ by using the array structure. <p> Please note that we have opted to populate this data-field with the episode start date (EPISTART in the HESIN table) or, if that was missing, the admission start date (ADMIDATE in the HESIN table) rather than use the operation date (OPDATE in the HESIN_OPER table). The rationale for this was: <ul> <li>around 1 in 5 primary procedures lacked a corresponding value for OPDATE in HESIN_OPER;</li> <br> <li>some recorded OPDATEs were inconsistent with the other date fields such as EPISTART, ADMIDATE, EPIEND and DISDATE (most likely due to data entry errors);</li> <br> <li>for those episodes with a value for OPDATE recorded the majority were the same as the value of EPISTART, with around 99% of OPDATE values within 7 days of the value of EPISTART;</li> <br> <li>values of EPISTART/ADMIDATE are more complete and thus may provide greater consistency across data providers.</li> </ul> <p>See the Operations tab of the Hospital Inpatient Data Dictionary (~R141140~) for further information about these fields.	2019-01-02T00:00:00	2023-03-06T00:00:00	445148	5305857	110	1	1	1
41283	Date of first operative procedure - OPCS3	0	3	0	51	0	0	0	0	1	0		2005	0	0	0	0	0	15	This field provides, for each participant, the dates when each of the procedures in ~F41273~ was first recorded in the participant's hospital inpatient records (in either the main or a secondary position). The date can be linked to ~F41273~ by using the array structure. <p> Please note that we have opted to populate this data-field with the episode start date (EPISTART in the HESIN table) or, if that was missing, the admission start date (ADMIDATE in the HESIN table) rather than use the operation date (OPDATE in the HESIN_OPER table). The rationale for this was: <ul> <li>around 1 in 5 primary procedures lacked a corresponding value for OPDATE in HESIN_OPER;</li> <br> <li>some recorded OPDATEs were inconsistent with the other date fields such as EPISTART, ADMIDATE, EPIEND and DISDATE (most likely due to data entry errors);</li> <br> <li>for those episodes with a value for OPDATE recorded the majority were the same as the value of EPISTART, with around 99% of OPDATE values within 7 days of the value of EPISTART;</li> <br> <li>values of EPISTART/ADMIDATE are more complete and thus may provide greater consistency across data providers.</li> </ul> <p>See the Operations tab of the Hospital Inpatient Data Dictionary (~R141140~) for further information about these fields. <p>Please note OPCS-3 coded hospital inpatient data are only available for older Scottish hospital records.	2019-01-02T00:00:00	2021-01-21T00:00:00	10699	18579	130	1	1	1
41284	Baby birth weight	0	2	0	11	0	0	0	0	1	2	g	2003	214	0	0	0	0	7	This field is a summary of the values of the baby birth weight of babies born to the participant in their hospital inpatient records. <p>This field corresponds to the field BIRWEIGHT on the HESIN_DELIVERY table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_DELIVERY table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_ DELIVERY and HESIN tables by adding ~F41264~ and ~F41259~ to their basket.	2019-06-18T00:00:00	2021-01-21T00:00:00	16594	24014	0	1	1	1
41285	Duration of postnatal stay	0	3	0	11	0	0	0	0	1	0	days	2003	0	0	0	0	0	3	This field is a summary of the durations of a postnatal stay a participant has had recorded in their hospital inpatient records. <p>This field corresponds to the field POSTDUR on the HESIN_MATERNITY table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_MATERNITY table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_MATERNITY and HESIN tables by adding ~F41261~ and ~F41259~ to their basket.	2019-05-21T00:00:00	2021-01-21T00:00:00	10975	13299	180	1	1	1
41286	Mother age on date of delivery	0	2	0	11	0	0	0	0	1	0		2003	0	0	0	0	0	5	This field is a summary of the values of the mother's age in whole years on the date of delivery a participant has had recorded in their hospital inpatient records. <p>This field corresponds to the field MATAGE on the HESIN_MATERNITY table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_MATERNITY table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_MATERNITY and HESIN tables by adding ~F41261~ and ~F41259~ to their basket.	2019-05-21T00:00:00	2021-01-21T00:00:00	11068	14212	220	1	1	1
41288	Date of birth of baby	0	2	1	51	0	0	0	0	1	0		2003	0	0	0	0	0	5	This field is a summary of the dates of birth of a baby a participant has had recorded in their hospital inpatient records. This is a restricted field due to the sensitive nature of the field, and only projects with specific approval will be able to access this field. <p>This field corresponds to the field DOBBABY on the restricted HESIN_BIRTH table; see the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_BIRTH table. <p>In order to conduct detailed analyses of this data using the source information, researchers will need to gain access to the HESIN_BIRTH and HESIN tables by seeking approval for access to the DOBBABY field and then, once approved, adding ~F41265~ and ~F41259~ to their basket.	2019-05-21T00:00:00	2021-01-21T00:00:00	11070	14219	360	1	1	1
41289	Records in HES inpatient psychiatric dataset	0	3	0	11	0	30	0	0	0	0	records	2006	0	0	0	0	0	0	Adding this field to a basket will grant access to the HESIN_PSYCH table on the Data Portal. See the Inpatient Data Dictionary (~R141140~) in ~L2000~ for information about the HESIN_PSYCH table. <p>If included, the field will also appear in a main UK Biobank dataset where it will give a count of the number of rows for each participant in the HESIN_PSYCH table.	2019-06-18T00:00:00	2023-03-06T00:00:00	399565	399565	170	1	1	1
41290	Records in HES inpatient critical care dataset	0	3	0	11	0	30	3	0	0	0	records	2006	0	0	0	0	0	0	Adding this field to a basket will grant access to the HESIN_CRITICAL table on the Data Portal. See the Inpatient Data Dictionary (~R141140~) in Category 2000 for information about the HESIN_CRITICAL table. <p> If included, the field will also appear in a main UK Biobank dataset where it will give a count of the number of rows for each participant in the HESIN_CRITICAL table.	2020-05-08T00:00:00	2023-03-06T00:00:00	26008	26008	130	1	1	1
42000	Date of myocardial infarction	0	3	0	51	0	0	3	0	0	0		44	272	0	0	0	0	0	Date of the earliest reported myocardial infarction for a participant. The source of this report is given in ~F42001~.	2016-11-30T00:00:00	2022-01-10T00:00:00	27927	27927	100	1	1	1
42001	Source of myocardial infarction report	0	3	0	21	11	0	3	0	0	0		44	300	0	0	0	0	0	Source of the earliest report of myocardial infarction. The date of this report is given in ~F42000~.	2016-11-30T00:00:00	2022-01-10T00:00:00	27927	27927	110	1	1	1
42002	Date of STEMI	0	3	0	51	0	0	3	0	0	0		44	272	0	0	0	0	0	Date of the earliest reported ST-Elevation Miocardial Infarction for a participant. The source of this report is given in ~F42003~.	2016-11-30T00:00:00	2022-01-10T00:00:00	7608	7608	120	1	1	1
42003	Source of STEMI report	0	3	0	21	11	0	3	0	0	0		44	300	0	0	0	0	0	Source of the earliest report of ST-Elevation Miocardial Infarction. The date of this report is given in ~F42002~.	2016-11-30T00:00:00	2022-01-10T00:00:00	7608	7608	130	1	1	1
42004	Date of NSTEMI	0	3	0	51	0	0	3	0	0	0		44	272	0	0	0	0	0	Date of the earliest reported Non-ST-Elevation Miocardial Infarction for a participant. The source of this report is given in ~F42005~.	2016-11-30T00:00:00	2022-01-10T00:00:00	11898	11898	140	1	1	1
42005	Source of NSTEMI report	0	3	0	21	11	0	3	0	0	0		44	300	0	0	0	0	0	Source of the earliest report of Non-ST-Elevation Miocardial Infarction. The date of this report is given in ~F42004~.	2016-11-30T00:00:00	2022-01-10T00:00:00	11898	11898	150	1	1	1
42006	Date of stroke	0	3	0	51	0	0	3	0	0	0		43	272	0	0	0	0	0	Date of the earliest reported stroke for a participant. The source of this report is given in ~F42007~.	2016-11-30T00:00:00	2022-01-10T00:00:00	18173	18173	100	1	1	1
42007	Source of stroke report	0	3	0	21	11	0	3	0	0	0		43	300	0	0	0	0	0	Source of the earliest report of stroke. The date of this report is given in ~F42006~.	2016-11-30T00:00:00	2022-01-10T00:00:00	18173	18173	110	1	1	1
42008	Date of ischaemic stroke	0	3	0	51	0	0	3	0	0	0		43	272	0	0	0	0	0	Date of the earliest reported ischaemic stroke for a participant. The source of this report is given in ~F42009~.	2016-11-30T00:00:00	2022-01-10T00:00:00	10696	10696	120	1	1	1
42009	Source of ischaemic stroke report	0	3	0	21	11	0	3	0	0	0		43	300	0	0	0	0	0	Source of the earliest report of ischaemic stroke. The date of this report is given in ~F42008~.	2016-11-30T00:00:00	2022-01-10T00:00:00	10696	10696	130	1	1	1
42010	Date of intracerebral haemorrhage	0	3	0	51	0	0	3	0	0	0		43	272	0	0	0	0	0	Date of the earliest reported intracerebral haemorrhage for a participant. The source of this report is given in ~F42011~.	2016-11-30T00:00:00	2022-01-10T00:00:00	2310	2310	140	1	1	1
42011	Source of intracerebral haemorrhage report	0	3	0	21	11	0	3	0	0	0		43	300	0	0	0	0	0	Source of the earliest report of intracerebral haemorrhage. The date of this report is given in ~F42010~.	2016-11-30T00:00:00	2022-01-10T00:00:00	2310	2310	150	1	1	1
42012	Date of subarachnoid haemorrhage	0	3	0	51	0	0	3	0	0	0		43	272	0	0	0	0	0	Date of the earliest reported subarachnoid haemorrhage for a participant. The source of this report is given in ~F42013~.	2016-11-30T00:00:00	2022-01-10T00:00:00	1894	1894	160	1	1	1
42013	Source of subarachnoid haemorrhage report	0	3	0	21	11	0	3	0	0	0		43	300	0	0	0	0	0	Source of the earliest report of subarachnoid haemorrhage. The date of this report is given in ~F42012~.	2016-11-30T00:00:00	2022-01-10T00:00:00	1894	1894	170	1	1	1
42014	Date of asthma report	0	3	0	51	0	0	3	0	0	0		45	272	0	0	0	0	0	Date of asthma report	2018-04-30T00:00:00	2022-01-10T00:00:00	71819	71819	100	1	1	1
42015	Source of asthma report	0	3	0	21	11	0	3	0	0	0		45	300	0	0	0	0	0	Source of asthma report	2018-04-30T00:00:00	2022-01-10T00:00:00	71819	71819	110	1	1	1
42016	Date of chronic obstructive pulmonary disease report	0	3	0	51	0	0	3	0	0	0		46	272	0	0	0	0	0	Date of chronic obstructive pulmonary disease report	2018-04-30T00:00:00	2022-01-10T00:00:00	27064	27064	100	1	1	1
42017	Source of chronic obstructive pulmonary disease report	0	3	0	21	11	0	3	0	0	0		46	300	0	0	0	0	0	Source of chronic obstructive pulmonary disease report	2018-04-30T00:00:00	2022-01-10T00:00:00	27064	27064	110	1	1	1
42018	Date of all cause dementia report	0	3	0	51	0	0	3	0	0	0		47	272	0	0	0	0	0	Date of all cause dementia report	2018-04-30T00:00:00	2022-01-10T00:00:00	7896	7896	100	1	1	1
42019	Source of all cause dementia report	0	3	0	21	11	0	3	0	0	0		47	300	0	0	0	0	0	Source of all cause dementia report	2018-04-30T00:00:00	2022-01-10T00:00:00	7896	7896	110	1	1	1
42020	Date of alzheimer's disease report	0	3	0	51	0	0	3	0	0	0		47	272	0	0	0	0	0	Date of alzheimer's disease report	2018-04-30T00:00:00	2022-01-10T00:00:00	3290	3290	120	1	1	1
42021	Source of alzheimer's disease report	0	3	0	21	11	0	3	0	0	0		47	300	0	0	0	0	0	Source of alzheimer's disease report	2018-04-30T00:00:00	2022-01-10T00:00:00	3290	3290	130	1	1	1
42022	Date of vascular dementia report	0	3	0	51	0	0	3	0	0	0		47	272	0	0	0	0	0	Date of vascular dementia report	2018-04-30T00:00:00	2022-01-10T00:00:00	1746	1746	140	1	1	1
42023	Source of vascular dementia report	0	3	0	21	11	0	3	0	0	0		47	300	0	0	0	0	0	Source of vascular dementia report	2018-04-30T00:00:00	2022-01-10T00:00:00	1746	1746	150	1	1	1
42024	Date of frontotemporal dementia report	0	3	0	51	0	0	3	0	0	0		47	272	0	0	0	0	0	Date of frontotemporal dementia report	2018-04-30T00:00:00	2022-01-10T00:00:00	267	267	160	1	1	1
42025	Source of frontotemporal dementia report	0	3	0	21	11	0	3	0	0	0		47	300	0	0	0	0	0	Source of frontotemporal dementia report	2018-04-30T00:00:00	2022-01-10T00:00:00	267	267	170	1	1	1
42026	Date of end stage renal disease report	0	3	0	51	0	0	3	0	0	0		48	272	0	0	0	0	0	Date of end stage renal disease report	2018-04-30T00:00:00	2022-01-10T00:00:00	1674	1674	100	1	1	1
42027	Source of end stage renal disease report	0	3	0	21	11	0	3	0	0	0		48	300	0	0	0	0	0	Source of end stage renal disease report	2018-04-30T00:00:00	2022-01-10T00:00:00	1674	1674	110	1	1	1
42028	Date of motor neurone disease report	0	3	0	51	0	0	3	0	0	0		49	272	0	0	0	0	0	Date of motor neurone disease report	2018-04-30T00:00:00	2022-01-10T00:00:00	671	671	100	1	1	1
42029	Source of motor neurone disease report	0	3	0	21	11	0	3	0	0	0		49	300	0	0	0	0	0	Source of motor neurone disease report	2018-04-30T00:00:00	2022-01-10T00:00:00	671	671	110	1	1	1
42030	Date of all cause parkinsonism report	0	3	0	51	0	0	3	0	0	0		50	272	0	0	0	0	0	Date of all cause parkinsonism report	2018-04-30T00:00:00	2022-01-10T00:00:00	4192	4192	100	1	1	1
42031	Source of all cause parkinsonism report	0	3	0	21	11	0	3	0	0	0		50	300	0	0	0	0	0	Source of all cause parkinsonism report	2018-04-30T00:00:00	2022-01-10T00:00:00	4192	4192	110	1	1	1
42032	Date of parkinson's disease report	0	3	0	51	0	0	3	0	0	0		50	272	0	0	0	0	0	Date of parkinson's disease report	2018-04-30T00:00:00	2022-01-10T00:00:00	3807	3807	120	1	1	1
42033	Source of parkinson's disease report	0	3	0	21	11	0	3	0	0	0		50	300	0	0	0	0	0	Source of parkinson's disease report	2018-04-30T00:00:00	2022-01-10T00:00:00	3807	3807	130	1	1	1
42034	Date of progressive supranuclear palsy report	0	3	0	51	0	0	3	0	0	0		50	272	0	0	0	0	0	Date of progressive supranuclear palsy report	2018-04-30T00:00:00	2022-01-10T00:00:00	180	180	140	1	1	1
42035	Source of progressive supranuclear palsy report	0	3	0	21	11	0	3	0	0	0		50	300	0	0	0	0	0	Source of progressive supranuclear palsy report	2018-04-30T00:00:00	2022-01-10T00:00:00	180	180	150	1	1	1
42036	Date of multiple system atrophy report	0	3	0	51	0	0	3	0	0	0		50	272	0	0	0	0	0	Date of multiple system atrophy report	2018-04-30T00:00:00	2022-01-10T00:00:00	118	118	160	1	1	1
42037	Source of multiple system atrophy report	0	3	0	21	11	0	3	0	0	0		50	300	0	0	0	0	0	Source of multiple system atrophy report	2018-04-30T00:00:00	2022-01-10T00:00:00	118	118	170	1	1	1
42038	GP registration records	0	3	0	11	0	30	0	0	0	0	records	3001	0	0	0	0	0	0	Adding this field to project basket will grant access to the primary care registrations table (gp_registrations) on the Data Portal. <br> <br> If you select this data-field your main dataset will include a column that will indicate the number of primary care registration records available for each participant. Please note that not all participants with primary care data available have a corresponding registration record.	2019-06-13T00:00:00	2019-09-08T00:00:00	228889	228889	0	1	1	1
42039	GP prescription records	0	3	0	11	0	30	0	0	0	0	records	3001	0	0	0	0	0	0	Adding this field to project basket will grant access to the primary care prescriptions table (gp_scripts) on the Data Portal. <br> <br> If you select this data-field your main dataset will include a column that will indicate the number of primary care prescription records available for each participant.	2019-06-13T00:00:00	2019-09-08T00:00:00	222054	222054	0	1	1	1
42040	GP clinical event records	0	3	0	11	0	30	0	0	0	0	records	3001	0	0	0	0	0	0	Adding this field to project basket will grant access to the primary care clinical events table (gp_clinical) on the Data Portal. <br> <br> If you select this data-field your main dataset will include a column that will indicate the number of primary care clinical event records available for each participant.	2019-06-13T00:00:00	2019-09-08T00:00:00	230036	230036	0	1	1	1
90001	Acceleration data - cwa format	0	2	0	41	0	20	0	1	0	0		1008	0	93	0	4	0	0	These files contain the raw acceleration data, per participant, from a single use (over a 7-day period) of the physical activity monitor. Format is native cwa as returned by the device. <p> Files are typically 250MB each in the raw state and usually compress to around 100MB.	2013-06-13T00:00:00	2019-02-26T00:00:00	103662	115434	100	2	1	2
90002	Data problem indicator	0	1	0	21	11	0	3	0	0	0		1013	93	0	0	0	0	0	The data problem indicator was derived by combining participant reports (e.g. non-wear) with measurements of the size of the uncompressed dataset returned by the accelerometer device. This field is only present for accelerometer datasets that have had a problem recorded against them. A value of zero indicates that a dataset reported as unreliable was subsequently examined and found to be acceptable.	2013-11-27T00:00:00	2016-02-09T00:00:00	4694	4694	100	1	1	1
90003	Start of requested wear period	0	2	0	61	0	0	0	0	0	0		1011	0	0	0	0	0	0	When devices were dispatched to participants they were programmed to start recording (usually at 10.00am) on a particular date, targeted to be the day they arrived at the participants address. The participant was asked to begin wearing the device immediately upon receipt. This field gives the date and time that the recording was programmed to start - which may be before or after the participant actually began wearing the device, and does not guarantee that the participant actually wore it.	2013-11-27T00:00:00	2016-01-09T00:00:00	103662	103662	110	1	1	1
90004	Acceleration intensity time-series	0	0	0	41	0	20	3	0	0	0		1008	0	0	0	0	0	0	These time-series files describe a participant's accelerometer measured physical activity intensity every five seconds. Each measurement represents the average vector magnitude across all samples recorded in each five second epoch/period. This file may be useful for those interested in analysing accelerometer measured physical activity by time. <p> The first column contains the acceleration value where the units of measurement are milli-gravity. The second column indicates whether this is an actual measurement (value = <blank>) or imputed (value = 1). The time associated with each reading can be inferred from the very first row, which describes the start and end times of the data. Each successive reading is incremented by five seconds. <p> For example, <br>"acceleration (mg) - 2014-05-07 13:29:50 - 2014-05-13 09:50:25 - sampleRate = 5 seconds, imputed" <br>indicates that the first measurement time is at 2014-05-07 13:29:50, the second at 2014-05-07 13:29:55, the third at 2014-05-07 13:30:00 ... and the last at 2014-05-13 09:50:25. <p> Files are typically 760KB each in the raw state and usually compress to around 170KB.	2016-03-02T00:00:00	2016-04-19T00:00:00	103661	103661	110	2	1	2
90010	Start time of wear	0	2	0	61	0	0	3	0	0	0		1011	0	0	0	0	0	0	Start time of wear	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	120	1	1	1
90011	End time of wear	0	2	0	61	0	0	3	0	0	0		1011	0	0	0	0	0	0	End time of wear	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	130	1	1	1
90012	Overall acceleration average	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	This is the recommended variable for physical activity analysis. <p> For final analysis of this variable, it is recommend researchers filter out participants whose data could not be calibrated (~F90016~) or who did not wear the device for sufficiently long to get a stable measure of their physical activity status (~F90015~). For a detailed description, please refer to ~R169649~.	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	100	1	1	1
90013	Standard deviation of acceleration	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	Standard deviation of acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	110	1	1	1
90015	Data quality, good wear time	0	2	0	21	11	0	3	0	0	0		1011	7	0	0	0	0	0	At least three days (72 hours) of data and also having data in each one-hour period of the 24-hour cycle (scattered over multiple days)	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	100	1	1	1
90016	Data quality, good calibration	0	2	0	21	11	0	3	0	0	0		1012	7	0	0	0	0	0	YES indicates that the raw accelerometer data has been well calibrated. <p> NO indicates that a participant should be excluded from further analysis because recalibration by the preceding or subsequent measurement was not possible due to insufficient data.	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	120	1	1	1
90017	Data quality, calibrated on own data	0	2	0	21	11	0	3	0	0	0		1012	7	0	0	0	0	0	YES indicates sufficient data were available to conduct calibration on the participant's own stationary data (where any of the three sensor axes did not have values outside a +/- 300 milli-gravity range). <p> NO indicates that the data was recalibrated using the previous (or if unavailable, the next) accelerometer record from the same device worn by a different participant.	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	130	1	1	1
90018	Daylight savings crossover	0	2	0	21	11	0	3	0	0	0		1011	7	0	0	0	0	0	Daylight savings crossover	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	150	1	1	1
90019	Monday average acceleration	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	Monday acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	360	1	1	1
90020	Tuesday average acceleration	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	Tuesday acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	370	1	1	1
90021	Wednesday average acceleration	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	Wednesday acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	380	1	1	1
90022	Thursday average acceleration	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	Thursday acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	390	1	1	1
90023	Friday average acceleration	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	Friday acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	400	1	1	1
90024	Saturday average acceleration	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	Saturday acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	410	1	1	1
90025	Sunday average acceleration	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	Sunday acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	420	1	1	1
90026	First weekday of wear	0	2	0	21	11	0	3	0	0	0		1011	777	0	0	0	0	0	First weekday of wearing device.	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	140	1	1	1
90027	Average acceleration 00:00 - 00:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	00:00 - 00:59 acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	120	1	1	1
90028	Average acceleration 01:00 - 01:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	01:00 - 01:59 acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	130	1	1	1
90029	Average acceleration 02:00 - 02:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	02:00 - 02:59 acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	140	1	1	1
90030	Average acceleration 03:00 - 03:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	03:00 - 03:59 acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	150	1	1	1
90031	Average acceleration 04:00 - 04:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	04:00 - 04:59 acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	160	1	1	1
90032	Average acceleration 05:00 - 05:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	05:00 - 05:59 acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	170	1	1	1
90033	Average acceleration 06:00 - 06:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	06:00 - 06:59 acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	180	1	1	1
90034	Average acceleration 07:00 - 07:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	07:00 - 07:59 acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	190	1	1	1
90035	Average acceleration 08:00 - 08:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	08:00 - 08:59 acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	200	1	1	1
90036	Average acceleration 09:00 - 09:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	09:00 - 09:59 acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	210	1	1	1
90037	Average acceleration 10:00 - 10:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	10:00 - 10:59 acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	220	1	1	1
90038	Average acceleration 11:00 - 11:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	11:00 - 11:59 acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	230	1	1	1
90039	Average acceleration 12:00 - 12:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	12:00 - 12:59 acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	240	1	1	1
90040	Average acceleration 13:00 - 13:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	13:00 - 13:59 acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	250	1	1	1
90041	Average acceleration 14:00 - 14:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	14:00 - 14:59 acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	260	1	1	1
90042	Average acceleration 15:00 - 15:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	15:00 - 15:59 acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	270	1	1	1
90043	Average acceleration 16:00 - 16:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	16:00 - 16:59 acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	280	1	1	1
90044	Average acceleration 17:00 - 17:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	17:00 - 17:59 acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	290	1	1	1
90045	Average acceleration 18:00 - 18:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	18:00 - 18:59 acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	300	1	1	1
90046	Average acceleration 19:00 - 19:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	19:00 - 19:59 acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	310	1	1	1
90047	Average acceleration 20:00 - 20:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	20:00 - 20:59 acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	320	1	1	1
90048	Average acceleration 21:00 - 21:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	21:00 - 21:59 acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	330	1	1	1
90049	Average acceleration 22:00 - 22:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	22:00 - 22:59 acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	340	1	1	1
90050	Average acceleration 23:00 - 23:59	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	23:00 - 23:59 acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	350	1	1	1
90051	Wear duration overall	0	2	0	31	0	0	3	0	0	0	days	1011	0	0	0	0	0	0	Wear time overall	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	180	1	1	1
90052	Non wear duration overall	0	2	0	31	0	0	3	0	0	0	days	1011	0	0	0	0	0	0	Non wear time overall	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	190	1	1	1
90053	Wear duration during Monday	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	Monday wear time	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	460	1	1	1
90054	Wear duration during Tuesday	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	Tuesday wear time	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	500	1	1	1
90055	Wear duration during Wednesday	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	Wednesday wear time	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	510	1	1	1
90056	Wear duration during Thursday	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	Thursday wear time	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	490	1	1	1
90057	Wear duration during Friday	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	Friday wear time	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	450	1	1	1
90058	Wear duration during Saturday	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	Saturday wear time	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	470	1	1	1
90059	Wear duration during Sunday	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	Sunday wear time	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	480	1	1	1
90060	Wear duration during 00:00 - 00:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	00:00 - 00:59 wear time	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	210	1	1	1
90061	Wear duration during 01:00 - 01:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	01:00 - 01:59 wear time	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	220	1	1	1
90062	Wear duration during 02:00 - 02:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	02:00 - 02:59 wear time	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	230	1	1	1
90063	Wear duration during 03:00 - 03:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	03:00 - 03:59 wear time	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	240	1	1	1
90064	Wear duration during 04:00 - 04:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	04:00 - 04:59 wear time	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	250	1	1	1
90065	Wear duration during 05:00 - 05:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	05:00 - 05:59 wear time	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	260	1	1	1
90066	Wear duration during 06:00 - 06:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	06:00 - 06:59 wear time	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	270	1	1	1
90067	Wear duration during 07:00 - 07:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	07:00 - 07:59 wear time	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	280	1	1	1
90068	Wear duration during 08:00 - 08:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	08:00 - 08:59 wear time	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	290	1	1	1
90069	Wear duration during 09:00 - 09:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	09:00 - 09:59 wear time	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	300	1	1	1
90070	Wear duration during 10:00 - 10:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	10:00 - 10:59 wear time	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	310	1	1	1
90071	Wear duration during 11:00 - 11:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	11:00 - 11:59 wear time	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	320	1	1	1
90072	Wear duration during 12:00 - 12:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	12:00 - 12:59 wear time	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	330	1	1	1
90073	Wear duration during 13:00 - 13:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	13:00 - 13:59 wear time	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	340	1	1	1
90074	Wear duration during 14:00 - 14:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	14:00 - 14:59 wear time	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	350	1	1	1
90075	Wear duration during 15:00 - 15:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	15:00 - 15:59 wear time	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	360	1	1	1
90076	Wear duration during 16:00 - 16:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	16:00 - 16:59 wear time	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	370	1	1	1
90077	Wear duration during 17:00 - 17:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	17:00 - 17:59 wear time	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	380	1	1	1
90078	Wear duration during 18:00 - 18:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	18:00 - 18:59 wear time	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	390	1	1	1
90079	Wear duration during 19:00 - 19:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	19:00 - 19:59 wear time	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	400	1	1	1
90080	Wear duration during 20:00 - 20:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	20:00 - 20:59 wear time	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	410	1	1	1
90081	Wear duration during 21:00 - 21:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	21:00 - 21:59 wear time	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	420	1	1	1
90082	Wear duration during 22:00 - 22:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	22:00 - 22:59 wear time	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	430	1	1	1
90083	Wear duration during 23:00 - 23:59	0	2	0	31	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	23:00 - 23:59 wear time	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	440	1	1	1
90084	Unique hours of wear in a 24 hour cycle (scattered over multiple days)	0	2	0	11	0	0	3	0	0	0	hours	1011	0	0	0	0	0	0	Unique hours of wear in a 24hr cycle (scattered over multiple days)	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	160	1	1	1
90085	Unique minutes of wear in a 24 hour cycle (scattered over multiple days)	0	2	0	11	0	0	3	0	0	0	minutes	1011	0	0	0	0	0	0	Unique minutes of wear in a 24hr cycle (scattered over multiple days)	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	170	1	1	1
90086	Non wear episodes over 1 hour duration	0	2	0	11	0	0	3	0	0	0		1011	0	0	0	0	0	0	Non wear episodes >1hr duration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	200	1	1	1
90087	No-wear time bias adjusted average acceleration	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	No wear time bias adjusted acceleration average	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	430	1	1	1
90088	No-wear time bias adjusted acceleration standard deviation	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	No wear time bias adjusted acceleration standard deviation	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	440	1	1	1
90089	No-wear time bias adjusted acceleration median	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	No wear time bias adjusted acceleration median	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	470	1	1	1
90090	No-wear time bias adjusted acceleration minimum	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	No wear time bias adjusted acceleration minimum	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	460	1	1	1
90091	No-wear time bias adjusted acceleration maximum	0	2	0	31	0	0	3	0	0	0	milli-gravity	1009	0	0	0	0	0	0	No wear time bias adjusted acceleration maximum	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	450	1	1	1
90092	Fraction acceleration <= 1 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 1mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	140	1	1	1
90093	Fraction acceleration <= 2 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 2mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	150	1	1	1
90094	Fraction acceleration <= 3 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 3mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	160	1	1	1
90095	Fraction acceleration <= 4 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 4mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	170	1	1	1
90096	Fraction acceleration <= 5 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 5mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	180	1	1	1
90097	Fraction acceleration <= 6 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 6mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	190	1	1	1
90098	Fraction acceleration <= 7 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 7mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	200	1	1	1
90099	Fraction acceleration <= 8 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 8mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	210	1	1	1
90100	Fraction acceleration <= 9 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 9mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	220	1	1	1
90101	Fraction acceleration <= 10 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 10mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	230	1	1	1
90102	Fraction acceleration <= 11 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 11mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	240	1	1	1
90103	Fraction acceleration <= 12 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 12mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	250	1	1	1
90104	Fraction acceleration <= 13 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 13mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	260	1	1	1
90105	Fraction acceleration <= 14 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 14mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	270	1	1	1
90106	Fraction acceleration <= 15 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 15mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	280	1	1	1
90107	Fraction acceleration <= 16 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 16mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	290	1	1	1
90108	Fraction acceleration <= 17 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 17mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	300	1	1	1
90109	Fraction acceleration <= 18 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 18mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	310	1	1	1
90110	Fraction acceleration <= 19 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 19mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	320	1	1	1
90111	Fraction acceleration <= 20 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 20mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	330	1	1	1
90112	Fraction acceleration <= 25 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 25mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	340	1	1	1
90113	Fraction acceleration <= 30 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 30mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	350	1	1	1
90114	Fraction acceleration <= 35 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 35mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	360	1	1	1
90115	Fraction acceleration <= 40 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 40mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	370	1	1	1
90116	Fraction acceleration <= 45 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 45mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	380	1	1	1
90117	Fraction acceleration <= 50 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 50mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	390	1	1	1
90118	Fraction acceleration <= 55 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 55mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	400	1	1	1
90119	Fraction acceleration <= 60 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 60mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	410	1	1	1
90120	Fraction acceleration <= 65 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 65mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	420	1	1	1
90121	Fraction acceleration <= 70 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 70mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	430	1	1	1
90122	Fraction acceleration <= 75 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 75mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	440	1	1	1
90123	Fraction acceleration <= 80 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 80mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	450	1	1	1
90124	Fraction acceleration <= 85 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 85mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	460	1	1	1
90125	Fraction acceleration <= 90 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 90mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	470	1	1	1
90126	Fraction acceleration <= 95 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 95mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	480	1	1	1
90127	Fraction acceleration <= 100 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 100mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	490	1	1	1
90128	Fraction acceleration <= 125 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 125mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	500	1	1	1
90129	Fraction acceleration <= 150 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 150mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	510	1	1	1
90130	Fraction acceleration <= 175 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 175mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	520	1	1	1
90131	Fraction acceleration <= 200 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 200mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	530	1	1	1
90132	Fraction acceleration <= 225 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 225mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	540	1	1	1
90133	Fraction acceleration <= 250 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 250mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	550	1	1	1
90134	Fraction acceleration <= 275 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 275mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	560	1	1	1
90135	Fraction acceleration <= 300 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 300mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	570	1	1	1
90136	Fraction acceleration <= 325 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 325mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	580	1	1	1
90137	Fraction acceleration <= 350 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 350mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	590	1	1	1
90138	Fraction acceleration <= 375 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 375mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	600	1	1	1
90139	Fraction acceleration <= 400 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 400mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	610	1	1	1
90140	Fraction acceleration <= 425 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 425mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	620	1	1	1
90141	Fraction acceleration <= 450 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 450mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	630	1	1	1
90142	Fraction acceleration <= 475 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 475mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	640	1	1	1
90143	Fraction acceleration <= 500 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 500mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	650	1	1	1
90144	Fraction acceleration <= 600 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 600mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	660	1	1	1
90145	Fraction acceleration <= 700 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 700mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	670	1	1	1
90146	Fraction acceleration <= 800 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 800mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	680	1	1	1
90147	Fraction acceleration <= 900 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 900mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	690	1	1	1
90148	Fraction acceleration <= 1000 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 1000mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	700	1	1	1
90149	Fraction acceleration <= 1100 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 1100mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	710	1	1	1
90150	Fraction acceleration <= 1200 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 1200mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	720	1	1	1
90151	Fraction acceleration <= 1300 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 1300mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	730	1	1	1
90152	Fraction acceleration <= 1400 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 1400mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	740	1	1	1
90153	Fraction acceleration <= 1500 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 1500mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	750	1	1	1
90154	Fraction acceleration <= 1600 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 1600mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	760	1	1	1
90155	Fraction acceleration <= 1700 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 1700mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	770	1	1	1
90156	Fraction acceleration <= 1800 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 1800mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	780	1	1	1
90157	Fraction acceleration <= 1900 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 1900mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	790	1	1	1
90158	Fraction acceleration <= 2000 milli-gravities	0	2	0	31	0	0	3	0	0	0	Fraction	1010	0	0	0	0	0	0	Fraction time <= 2000mg acceleration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	800	1	1	1
90159	Error tolerance before calibration	0	2	0	31	0	0	3	0	0	0	milli-gravity	1012	0	0	0	0	0	0	Root mean square error of stationary points before calibration.	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	220	1	1	1
90160	Error tolerance after calibration	0	2	0	31	0	0	3	0	0	0	milli-gravity	1012	0	0	0	0	0	0	Root mean square error of stationary points after calibration.	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	230	1	1	1
90161	Calibration coefficients - x offset	0	2	0	31	0	0	3	0	0	0	gravities	1012	0	0	0	0	0	0	Calibration coefficients - x offset	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	320	1	1	1
90162	Calibration coefficients - y offset	0	2	0	31	0	0	3	0	0	0	gravities	1012	0	0	0	0	0	0	Calibration coefficients - y offset	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	350	1	1	1
90163	Calibration coefficients - z offset	0	2	0	31	0	0	3	0	0	0	gravities	1012	0	0	0	0	0	0	Calibration coefficients - z offset	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	380	1	1	1
90164	Calibration coefficients - x slope	0	2	0	31	0	0	3	0	0	0	gravities	1012	0	0	0	0	0	0	Calibration coefficients - x slope	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	330	1	1	1
90165	Calibration coefficients - y slope	0	2	0	31	0	0	3	0	0	0	gravities	1012	0	0	0	0	0	0	Calibration coefficients - y slope	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	360	1	1	1
90166	Calibration coefficients - z slope	0	2	0	31	0	0	3	0	0	0	gravities	1012	0	0	0	0	0	0	Calibration coefficients - z slope	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	390	1	1	1
90167	Calibration coefficients - x temp	0	2	0	31	0	0	3	0	0	0	Celsius	1012	0	0	0	0	0	0	Calibration coefficients - x temp	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	340	1	1	1
90168	Calibration coefficients - y temp	0	2	0	31	0	0	3	0	0	0	Celsius	1012	0	0	0	0	0	0	Calibration coefficients - y temp	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	370	1	1	1
90169	Calibration coefficients - z temp	0	2	0	31	0	0	3	0	0	0	Celsius	1012	0	0	0	0	0	0	Calibration coefficients - z temp	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	400	1	1	1
90170	Calibration coefficients - mean temperature	0	2	0	31	0	0	3	0	0	0	Celsius	1012	0	0	0	0	0	0	Calibration coefficients - mean temperature	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	240	1	1	1
90171	Calibration - number of static points	0	2	0	11	0	0	3	0	0	0		1012	0	0	0	0	0	0	Calibration - number of stationary ten second windows where all three axes had a standard deviation of less than 13.0 milli-gravity.	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	250	1	1	1
90172	Calibration - minimum x stationary value	0	2	0	31	0	0	3	0	0	0	gravities	1012	0	0	0	0	0	0	Calibration - minimum x stationary value	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	290	1	1	1
90173	Calibration - maximum x stationary value	0	2	0	31	0	0	3	0	0	0	gravities	1012	0	0	0	0	0	0	Calibration - maximum x stationary value	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	260	1	1	1
90174	Calibration - minimum y stationary value	0	2	0	31	0	0	3	0	0	0	gravities	1012	0	0	0	0	0	0	Calibration - minimum y stationary value	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	300	1	1	1
90175	Calibration - maximum y stationary value	0	2	0	31	0	0	3	0	0	0	gravities	1012	0	0	0	0	0	0	Calibration - maximum y stationary value	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	270	1	1	1
90176	Calibration - minimum z stationary value	0	2	0	31	0	0	3	0	0	0	gravities	1012	0	0	0	0	0	0	Calibration - minimum z stationary value	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	310	1	1	1
90177	Calibration - maximum z stationary value	0	2	0	31	0	0	3	0	0	0	gravities	1012	0	0	0	0	0	0	Calibration - maximum z stationary value	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	280	1	1	1
90179	Device ID	0	2	0	11	0	0	3	0	0	0		1013	0	0	0	0	0	0	Device ID of accelerometer	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	110	1	1	1
90180	Interrupted recording periods	0	2	0	11	0	0	3	0	0	0		1013	0	0	0	0	0	0	Number interrupted recording periods. (These could have occurred for example if participants tried to plug their accelerometer device into a computer.)	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	170	1	1	1
90181	Duration of interrupted recording periods	0	2	0	31	0	0	3	0	0	0	minutes	1013	0	0	0	0	0	0	Duration interrupted recording periods	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	180	1	1	1
90182	Data recording errors	0	2	0	11	0	0	3	0	0	0		1013	0	0	0	0	0	0	Number data recording errors	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	110	1	1	1
90183	Readings exceeding +/-8 gravities before calibration	0	2	0	11	0	0	3	0	0	0		1013	0	0	0	0	0	0	Number readings exceeding +/-8g sensor range before calibration	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	190	1	1	1
90184	Maximum readings exceeding +/-8 gravities before calibration in a 5 second epoch	0	2	0	11	0	0	3	0	0	0	readings	1013	0	0	0	0	0	0	Maximum number readings exceeding +/-8g sensor range before calibration in a 5 second epoch	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	210	1	1	1
90185	Readings exceeding +/-8 gravities after calibration	0	2	0	11	0	0	3	0	0	0		1013	0	0	0	0	0	0	Number readings exceeding +/-8g sensor range after calibration	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	200	1	1	1
90186	Maximum readings exceeding +/-8 gravities after calibration in a 5 second epoch	0	2	0	11	0	0	3	0	0	0	readings	1013	0	0	0	0	0	0	Maximum number readings exceeding +/-8g sensor range after calibration in a 5 second epoch	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	220	1	1	1
90187	Total data readings	0	2	0	11	0	0	3	0	0	0	readings	1013	0	0	0	0	0	0	Total number of data readings	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	120	1	1	1
90188	Sample rate average	0	2	0	31	0	0	3	0	0	0	Hz	1013	0	0	0	0	0	0	Sample rate average	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	130	1	1	1
90189	Sample rate standard deviation	0	2	0	31	0	0	3	0	0	0	Hz	1013	0	0	0	0	0	0	Sample rate standard deviation	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	140	1	1	1
90190	Sample rate minimum	0	2	0	31	0	0	3	0	0	0	Hz	1013	0	0	0	0	0	0	Sample rate minimum	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	150	1	1	1
90191	Sample rate maximum	0	2	0	31	0	0	3	0	0	0	Hz	1013	0	0	0	0	0	0	Sample rate maximum	2015-11-06T00:00:00	2016-02-08T00:00:00	103661	103661	160	1	1	1
90192	Temperature average	0	2	0	31	0	0	3	0	0	0	Celsius	1013	0	0	0	0	0	0	Device temperature average	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	230	1	1	1
90193	Temperature standard deviation	0	2	0	31	0	0	3	0	0	0	Celsius	1013	0	0	0	0	0	0	Device temperature standard deviation	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	240	1	1	1
90194	Temperature minimum	0	2	0	31	0	0	3	0	0	0	Celsius	1013	0	0	0	0	0	0	Device temperature minimum	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	250	1	1	1
90195	Temperature maximum	0	2	0	31	0	0	3	0	0	0	Celsius	1013	0	0	0	0	0	0	Device temperature maximum	2015-11-06T00:00:00	2016-01-29T00:00:00	103661	103661	260	1	1	1
100001	Food weight	0	0	0	31	0	0	0	1	0	0	g	100098	0	1	0	4	0	0	Total food weight. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17T00:00:00	2014-04-22T00:00:00	210962	458518	9	1	1	1
100002	Energy	0	0	0	31	0	0	0	1	0	0	KJ	100098	0	1	0	4	0	0	Total energy. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17T00:00:00	2014-04-22T00:00:00	210962	458518	5	1	1	1
100003	Protein	0	0	0	31	0	0	0	1	0	0	g	100098	0	1	0	4	0	0	Protein. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17T00:00:00	2014-04-22T00:00:00	210962	458518	14	1	1	1
100004	Fat	0	0	0	31	0	0	0	1	0	0	g	100098	0	1	0	4	0	0	Total fat. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17T00:00:00	2014-04-22T00:00:00	210962	458518	7	1	1	1
100005	Carbohydrate	0	0	0	31	0	0	0	1	0	0	g	100098	0	1	0	4	0	0	Carbohydrate. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17T00:00:00	2014-04-22T00:00:00	210962	458518	3	1	1	1
100006	Saturated fat	0	0	0	31	0	0	0	1	0	0	g	100098	0	1	0	4	0	0	Saturated fat. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17T00:00:00	2014-04-22T00:00:00	210962	458518	16	1	1	1
100007	Polyunsaturated fat	0	0	0	31	0	0	0	1	0	0	g	100098	0	1	0	4	0	0	Polyunsaturated fat. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17T00:00:00	2014-04-22T00:00:00	210962	458518	12	1	1	1
100008	Total sugars	0	0	0	31	0	0	0	1	0	0	g	100098	0	1	0	4	0	0	Total sugars. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17T00:00:00	2014-04-22T00:00:00	210962	458518	18	1	1	1
100009	Englyst dietary fibre	0	0	0	31	0	0	0	1	0	0	g	100098	0	1	0	4	0	0	Englyst dietary fibre. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17T00:00:00	2014-04-22T00:00:00	210962	458518	6	1	1	1
100010	Portion size	0	0	0	21	11	0	0	1	0	0		100097	100014	1	0	4	0	0	Question asked: "How would you describe your serving size?"<p>If the participant activated the Help feature they were shown the message:<p><i>Please compare the amount you eat with other people you know, then try to answer the question.</i>	2012-09-14T00:00:00	2012-09-21T00:00:00	210947	458451	1	1	1	1
100011	Iron	0	0	0	31	0	0	0	1	0	0	mg	100098	0	1	0	4	0	0	Iron. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17T00:00:00	2014-04-22T00:00:00	210962	458518	10	1	1	1
100012	Vitamin B6	0	0	0	31	0	0	0	1	0	0	mg	100098	0	1	0	4	0	0	Vitamin B6. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17T00:00:00	2014-04-22T00:00:00	210962	458518	20	1	1	1
100013	Vitamin B12	0	0	0	31	0	0	0	1	0	0	ug	100098	0	1	0	4	0	0	Vitamin B12. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17T00:00:00	2014-04-22T00:00:00	210962	458518	19	1	1	1
100014	Folate	0	0	0	31	0	0	0	1	0	0	ug	100098	0	1	0	4	0	0	Folate. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17T00:00:00	2014-04-22T00:00:00	210962	458518	8	1	1	1
100015	Vitamin C	0	0	0	31	0	0	0	1	0	0	mg	100098	0	1	0	4	0	0	Vitamin C. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17T00:00:00	2014-04-22T00:00:00	210962	458518	21	1	1	1
100016	Potassium	0	0	0	31	0	0	0	1	0	0	mg	100098	0	1	0	4	0	0	Potassium. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17T00:00:00	2014-04-22T00:00:00	210962	458518	13	1	1	1
100017	Magnesium	0	0	0	31	0	0	0	1	0	0	mg	100098	0	1	0	4	0	0	Magnesium. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17T00:00:00	2014-04-22T00:00:00	210962	458518	11	1	1	1
100018	Retinol	0	0	0	31	0	0	0	1	0	0	ug	100098	0	1	0	4	0	0	Retinol. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17T00:00:00	2014-04-22T00:00:00	208019	442568	15	1	1	1
100019	Carotene	0	0	0	31	0	0	0	1	0	0	ug	100098	0	1	0	4	0	0	Carotene. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17T00:00:00	2014-04-22T00:00:00	210962	458518	4	1	1	1
100020	Typical diet yesterday	0	0	0	21	11	0	0	1	0	0		100097	100010	1	0	4	0	0	Question asked: "Would you say that what you ate and drank yesterday was fairly typical for you? N.B. Your questionnaire answers are just as important to us if your day was not typical."	2012-09-14T00:00:00	2012-09-21T00:00:00	210947	458451	2	1	1	1
100021	Vitamin D	0	0	0	31	0	0	0	1	0	0	ug	100098	0	1	0	4	0	0	Vitamin D. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17T00:00:00	2014-04-22T00:00:00	210962	458518	22	1	1	1
100022	Alcohol	0	0	0	31	0	0	0	1	0	0	g	100098	0	1	0	4	0	0	Alcohol. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17T00:00:00	2014-04-22T00:00:00	210962	458518	1	1	1	1
100023	Starch	0	0	0	31	0	0	0	1	0	0	g	100098	0	1	0	4	0	0	Starch. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17T00:00:00	2014-04-22T00:00:00	210962	458518	17	1	1	1
100024	Calcium	0	0	0	31	0	0	0	1	0	0	mg	100098	0	1	0	4	0	0	Calcium. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17T00:00:00	2014-04-22T00:00:00	210962	458518	2	1	1	1
100025	Vitamin E	0	0	0	31	0	0	0	1	0	0	mg	100098	0	1	0	4	0	0	Vitamin E. Estimated intake, based on food and beverage consumption yesterday, excluding any supplements.	2012-09-17T00:00:00	2014-04-22T00:00:00	210962	458518	23	1	1	1
100026	Daily dietary data not credible	0	0	0	21	11	0	3	1	0	0		100090	7	1	0	4	0	0	The nutritional data was analysed to generate the daily energy intake estimate in ~F100002~. Datasets are flagged here as not being credible if the daily energy intake exceeded 20MJ for Males or 18MJ for Females. <p> To minimise data storage, only datasets regarded as not being plausible have been flagged.	2015-10-02T00:00:00	2015-10-02T00:00:00	3169	3492	0	1	1	1
100150	Drinking water intake	0	0	0	21	11	0	0	1	0	0	Glass/Beaker	100104	100006	1	0	4	0	0	Question asked: "How many glasses/beakers of water (e.g. still, fizzy, tap) did you drink yesterday?"	2012-09-14T00:00:00	2012-09-21T00:00:00	186925	377437	1	1	1	1
100160	Low calorie drink intake	0	0	0	21	11	0	0	1	0	0	Glass/Can	100104	100006	1	0	4	0	0	Question asked: "How many glasses/cans of low calorie or diet drinks (e.g. fizzy, squash) did you drink yesterday?"<p>If the participant activated the Help feature they were shown the message:<p><i>Low calorie flavoured water should be recorded under low calorie drinks.</i>	2012-09-14T00:00:00	2012-09-21T00:00:00	43590	62207	2	1	1	1
100170	Fizzy drink intake	0	0	0	21	11	0	0	1	0	0	Glass/Can	100104	100006	1	0	4	0	0	Question asked: "How many glasses/cans of carbonated (fizzy) drinks did you drink yesterday?"	2012-09-14T00:00:00	2012-09-21T00:00:00	33868	41435	3	1	1	1
100180	Squash intake	0	0	0	21	11	0	0	1	0	0	Glass/Carton/250ml	100104	100006	1	0	4	0	0	Question asked: "How many glasses/cartons/250ml of fruit drinks, J20, squash or cordial did you drink yesterday?"	2012-09-14T00:00:00	2012-09-21T00:00:00	44600	57762	4	1	1	1
100190	Orange juice intake	0	0	0	21	11	0	0	1	0	0	Glass/Carton/250ml	100104	100006	1	0	4	0	0	Question asked: "How many glasses/cartons/250ml of pure orange juice did you drink yesterday?"	2012-09-14T00:00:00	2012-09-21T00:00:00	76215	124208	5	1	1	1
100200	Grapefruit juice intake	0	0	0	21	11	0	0	1	0	0	Glass/Carton/250ml	100104	100006	1	0	4	0	0	Question asked: "How many glasses/cartons/250ml of pure grapefruit juice did you drink yesterday?"	2012-09-14T00:00:00	2012-09-21T00:00:00	9432	13385	6	1	1	1
100210	Pure fruit/vegetable juice intake	0	0	0	21	11	0	0	1	0	0	Glass/Carton/250ml	100104	100006	1	0	4	0	0	Question asked: "How many glasses/cartons/250ml of other pure fruit / vegetable juice did you drink yesterday?"	2012-09-14T00:00:00	2012-09-21T00:00:00	44607	64954	7	1	1	1
100220	Fruit smoothie intake	0	0	0	21	11	0	0	1	0	0	Glass/Bottle/250ml	100104	100006	1	0	4	0	0	Question asked: "How many glasses/cartons/250ml of fruit smoothie did you drink yesterday?"	2012-09-14T00:00:00	2012-09-21T00:00:00	9727	12409	8	1	1	1
100230	Dairy smoothie intake	0	0	0	21	11	0	0	1	0	0	Glass/Bottle/250ml	100104	100006	1	0	4	0	0	Question asked: "How many glasses/cartons/250ml of dairy/yogurt based smoothie did you drink yesterday?"	2012-09-14T00:00:00	2012-09-21T00:00:00	16476	19323	9	1	1	1
100240	Coffee consumed	0	0	0	21	11	0	0	1	0	0		100104	100010	1	0	4	0	0	Question asked: "Did you drink any coffee yesterday?"<p>If the participant activated the Help feature they were shown the message:<p><i>Include all coffee drinks whether hot, cold/iced, instant, shop bought (including Starbucks), machine made or made by hand. Coffee substitutes such as Barley Cup and Dandelion Coffee should not be recorded here. Instead, record this under other non-alcoholic drinks (further down the page). If some of your coffees were decaffeinated and some were not, please choose Varied for the decaf question. Likewise, if you added sugar/sweetener to some of your coffees but not all, or if the amount of sugar/sweetener you added varied from one coffee drink to another, please choose Varied. The questions on milk, decaffeinated coffee and sugar/sweetener need to be answered here.</i>	2012-09-14T00:00:00	2012-09-21T00:00:00	210947	458451	10	1	1	1
100250	Instant coffee intake	0	0	0	21	11	0	0	1	0	0	Mug/Cup	100104	100006	1	0	4	0	0	Question asked: "How many cups/mugs of instant coffee did you drink yesterday?"<p>This question was only asked to participants who reported drinking coffee yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	117041	217358	11	1	1	1
100260	Added milk to instant coffee	0	0	0	21	11	0	0	1	0	0		100104	100009	1	0	4	0	0	Question asked: "Did you add milk, cream or whitener (e.g. Coffee-mate) to your instant coffee?"<p>This question was only asked to participants who reported drinking instant coffee yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	98381	179576	18	1	1	1
100270	Filtered coffee intake	0	0	0	21	11	0	0	1	0	0	Mug/Cup	100104	100006	1	0	4	0	0	Question asked: "How many cups/mugs of filter/americano/cafetiere coffee did you drink yesterday?"<p>This question was only asked to participants who reported drinking coffee yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	61832	107759	12	1	1	1
100280	Added milk to filtered coffee	0	0	0	21	11	0	0	1	0	0		100104	100009	1	0	4	0	0	Question asked: "Did you add milk, cream or whitener (e.g. Coffee-mate) to your filter/americano/cafetiere coffee?"<p>This question was only asked to participants who reported drinking filter/americano/cafetiere coffee yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	43440	72405	19	1	1	1
100290	Cappuccino intake	0	0	0	21	11	0	0	1	0	0	Mug/Cup	100104	100006	1	0	4	0	0	Question asked: "How many cups/mugs of cappuccino did you drink yesterday?"<p>This question was only asked to participants who reported drinking coffee yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	19228	26160	13	1	1	1
100300	Latte intake	0	0	0	21	11	0	0	1	0	0	Mug/Cup	100104	100006	1	0	4	0	0	Question asked: "How many cups/mugs of latte did you drink yesterday?"<p>This question was only asked to participants who reported drinking coffee yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	18276	24680	14	1	1	1
100310	Espresso intake	0	0	0	21	11	0	0	1	0	0	Cup	100104	100006	1	0	4	0	0	Question asked: "How many cups/mugs of espresso did you drink yesterday?"<p>This question was only asked to participants who reported drinking coffee yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	8108	11889	15	1	1	1
100320	Added milk to espresso	0	0	0	21	11	0	0	1	0	0		100104	100009	1	0	4	0	0	Question asked: "Did you add milk, cream or whitener (e.g. Coffee-mate) to your espresso?"<p>This question was only asked to participants who reported drinking coffee yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	2432	3106	20	1	1	1
100330	Other coffee type	0	0	0	21	11	0	0	1	0	0	Mug/Cup	100104	100006	1	0	4	0	0	Question asked: "How many cups/mugs of other coffee drinks did you drink yesterday?"<p>This question was only asked to participants who reported drinking coffee yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	3917	4364	16	1	1	1
100350	Added milk to other coffee type	0	0	0	21	11	0	0	1	0	0		100104	100009	1	0	4	0	0	Question asked: "Did you add milk, cream or whitener (e.g. Coffee-mate) to your other type of coffee?"<p>This question was only asked to participants who reported drinking other coffee yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	2335	2540	21	1	1	1
100360	Decaffeinated coffee	0	0	0	21	11	0	0	1	0	0		100104	100009	1	0	4	0	0	Question asked: "Was it decaffeinated coffee?"	2012-09-14T00:00:00	2012-09-21T00:00:00	39179	67046	22	1	1	1
100370	Intake of sugar added to coffee	0	0	0	21	11	0	0	1	0	0	Teaspoon	100104	100002	1	0	4	0	0	Question asked: "How many teaspoons of sugar did you add to your coffee (per drink)?"	2012-09-14T00:00:00	2012-09-21T00:00:00	36324	62884	23	1	1	1
100380	Intake of artificial sweetener added to coffee	0	0	0	21	11	0	0	1	0	0	Teaspoon / tablet	100104	100002	1	0	4	0	0	Question asked: "How many teaspoons/tablets of sweetener (e.g. Canderel) did you add to your coffee (per drink)?"	2012-09-14T00:00:00	2012-09-21T00:00:00	17409	31252	24	1	1	1
100390	Tea consumed	0	0	0	21	11	0	0	1	0	0		100104	100010	1	0	4	0	0	Question asked: "Did you drink any tea/infusion yesterday?"<p>If the participant activated the Help feature they were shown the message:<p><i>Standard tea covers all the different types of tea made with black tea leaves (this is the most common type of tea). This includes teabags and loose leaf tea as well as decaffeinated types. Peppermint tea belongs in the herbal or fruit infusion section. If you added honey to your tea/infusion, please treat this as sugar. Do not treat artificial sweetener as sugar. If your tea or infusion is not on the list, please record it under Other located at the bottom of the list.</i>	2012-09-14T00:00:00	2012-09-21T00:00:00	210947	458451	25	1	1	1
100400	Standard tea intake	0	0	0	21	11	0	0	1	0	0	Mug/Cup	100104	100007	1	0	4	0	0	Question asked: "How many cups/mugs of standard tea (e.g. Tetley, PG Tips, Assam, Darjeeling) did you drink yesterday?"	2012-09-14T00:00:00	2012-09-21T00:00:00	157794	320087	26	1	1	1
100410	Rooibos tea intake	0	0	0	21	11	0	0	1	0	0	Mug/Cup	100104	100007	1	0	4	0	0	Question asked: "How many cups/mugs of rooibos/redbush tea (e.g. Tick Tock) did you drink yesterday?"	2012-09-14T00:00:00	2012-09-21T00:00:00	11453	19435	27	1	1	1
100420	Green tea intake	0	0	0	21	11	0	0	1	0	0	Mug/Cup	100104	100007	1	0	4	0	0	Question asked: "How many cups/mugs of green tea did you drink yesterday?"	2012-09-14T00:00:00	2012-09-21T00:00:00	19119	30612	28	1	1	1
100430	Herbal tea intake	0	0	0	21	11	0	0	1	0	0	Mug/Cup	100104	100007	1	0	4	0	0	Question asked: "How many cups/mugs of herbal or fruit tea (infusion) did you drink yesterday?"	2012-09-14T00:00:00	2012-09-21T00:00:00	30017	47760	29	1	1	1
100440	Other tea intake	0	0	0	21	11	0	0	1	0	0	Mug/Cup	100104	100007	1	0	4	0	0	Question asked: "How many cups/mugs of other tea or infusion did you drink yesterday?"	2012-09-14T00:00:00	2012-09-21T00:00:00	12261	15884	30	1	1	1
100460	Added milk to standard tea	0	0	0	21	11	0	0	1	0	0		100104	100009	1	0	4	0	0	Question asked: "Did you add milk to your standard tea?"<p>This question was only asked to participants who reported drinking standard tea yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	142881	288028	32	1	1	1
100470	Decaffeinated tea	0	0	0	21	11	0	0	1	0	0		100104	100009	1	0	4	0	0	Question asked: "Was your standard tea decaffeinated?"<p>This question was only asked to participants who reported drinking standard tea yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	16735	26095	33	1	1	1
100480	Added milk to rooibos tea	0	0	0	21	11	0	0	1	0	0		100104	100009	1	0	4	0	0	Question asked: "Did you add milk to your rooibos/redbush tea?"<p>This question was only asked to participants who reported drinking rooibos/redbush tea yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	5653	9680	34	1	1	1
100490	Intake of sugar added to tea	0	0	0	21	11	0	0	1	0	0	Teaspoon	100104	100002	1	0	4	0	0	Question asked: "How many teaspoons of sugar did you add to your tea/infusion (per drink)?"	2012-09-14T00:00:00	2012-09-21T00:00:00	25888	45891	35	1	1	1
100500	Intake of artificial sweetener added to tea	0	0	0	21	11	0	0	1	0	0	Teaspoon / tablet	100104	100002	1	0	4	0	0	Question asked: "How many teaspoons/tablets of sweetener (e.g. Canderel) did you add to your tea/infusion (per drink)?"	2012-09-14T00:00:00	2012-09-21T00:00:00	14071	25460	36	1	1	1
100510	Other non-alcoholic drinks	0	0	0	21	11	0	0	1	0	0		100104	100010	1	0	4	0	0	Question asked: "Did you have any other (non-alcoholic) drinks yesterday? e.g. milk, yogurt drinks or hot chocolate."<p>If the participant activated the Help feature they were shown the message:<p><i>You will be asked about alcoholic drinks next. Actimel and yakult should be recorded under yogurt based drinks.</i>	2012-09-14T00:00:00	2012-09-21T00:00:00	210947	458451	37	1	1	1
100520	Milk intake	0	0	0	21	11	0	0	1	0	0	Glass/Carton/250ml	100104	100006	1	0	4	0	0	Question asked: "How many glasses/carton/ 250ml of milk (excluding milkshakes) did you consume yesterday?"	2012-09-14T00:00:00	2012-09-21T00:00:00	15161	19862	38	1	1	1
100530	Flavoured milk intake	0	0	0	21	11	0	0	1	0	0	Glass/Carton/250ml	100104	100006	1	0	4	0	0	Question asked: "How many glasses/carton/ 250ml of yogurt drinks, flavoured milk or milkshakes did you consume yesterday?"	2012-09-14T00:00:00	2012-09-21T00:00:00	7903	9388	39	1	1	1
100540	Low calorie hot chocolate intake	0	0	0	21	11	0	0	1	0	0	Mug/Cup	100104	100006	1	0	4	0	0	Question asked: "How many mugs/cups of low calorie hot chocolate drinks did you consume yesterday?"	2012-09-14T00:00:00	2012-09-22T00:00:00	5147	6346	40	1	1	1
100550	Hot chocolate intake	0	0	0	21	11	0	0	1	0	0	Mug/Cup	100104	100006	1	0	4	0	0	Question asked: "How many mugs/cups of hot chocolate or other milk-based drinks (including Horlicks) did you consume yesterday?"	2012-09-14T00:00:00	2012-09-21T00:00:00	16111	20975	41	1	1	1
100560	Other drink intake	0	0	0	21	11	0	0	1	0	0	Glass/Mug/Cup	100104	100006	1	0	4	0	0	Question asked: "How many glasses/mugs/cups of other drinks did you consume yesterday?"	2012-09-14T00:00:00	2012-09-21T00:00:00	8870	10105	42	1	1	1
100580	Alcohol consumed	0	0	0	21	11	0	0	1	0	0		100100	100010	1	0	4	0	0	Question asked: "Did you have any alcoholic drinks yesterday? For instance, beer, wine or spirits."<p>If the participant activated the Help feature they were shown the message:<p><i>Please treat liqueurs as spirits. If you had mixed drinks such as shandy, cocktails or alcopops, think about what went in them. For example, shandy is made from beer, lager or cider (please record the lemonade or ginger beer used in the shandy separately); cocktails and alcopops contain one or more spirits. Alcohol used in cooking should be ignored.</i>	2012-09-14T00:00:00	2012-09-21T00:00:00	210947	458451	1	1	1	1
100590	Red wine intake	0	0	0	21	11	0	0	1	0	0	Wine glass	100100	100006	1	0	4	0	0	Question asked: "How many wine glasses of red wine?"	2012-09-14T00:00:00	2012-09-21T00:00:00	60887	89934	2	1	1	1
100630	Rose wine intake	0	0	0	21	11	0	0	1	0	0	Wine glass	100100	100006	1	0	4	0	0	Question asked: "How many wine glasses of rose wine?"	2012-09-14T00:00:00	2012-09-21T00:00:00	11404	12972	4	1	1	1
100670	White wine intake	0	0	0	21	11	0	0	1	0	0	Wine glass	100100	100006	1	0	4	0	0	Question asked: "How many wine glasses of white wine?"	2012-09-14T00:00:00	2012-09-21T00:00:00	48877	68207	6	1	1	1
100710	Beer/cider intake	0	0	0	21	11	0	0	1	0	0	Pint	100100	100006	1	0	4	0	0	Question asked: "How many pints of beer, lager or cider?"	2012-09-14T00:00:00	2012-09-21T00:00:00	51694	72673	8	1	1	1
100720	Fortified wine intake	0	0	0	21	11	0	0	1	0	0	Sherry/port glass	100100	100006	1	0	4	0	0	Question asked: "How many sherry/port glasses of sherry, fortified wine or port?"	2012-09-14T00:00:00	2012-09-22T00:00:00	7585	9043	9	1	1	1
100730	Spirits intake	0	0	0	21	11	0	0	1	0	0	Measure	100100	100006	1	0	4	0	0	Question asked: "How many measures of spirits e.g. vodka, whisky, gin, rum?"	2012-09-14T00:00:00	2012-09-21T00:00:00	26522	35003	10	1	1	1
100740	Other alcohol intake	0	0	0	21	11	0	0	1	0	0	Units	100100	100006	1	0	4	0	0	Question asked: "How many units of other alcoholic drinks?"	2012-09-14T00:00:00	2012-09-21T00:00:00	6229	6605	11	1	1	1
100760	Breakfast cereal consumed	0	0	0	21	11	0	0	1	0	0		100102	100010	1	0	4	0	0	Question asked: "Did you eat any breakfast cereal yesterday? This could be at any time of the day. Please include hot cereals, but not cereal bars."<p>If the participant activated the Help feature they were shown the message:<p><i>If you had yogurt on your cereal (instead of milk), please record this later in the dessert section as a serving of yogurt. Two standard size shredded wheat or weetabix biscuits counts as one bowl. Please select the option that best describes your type of cereal, otherwise select the Other category.</i>	2012-09-14T00:00:00	2012-09-21T00:00:00	210947	458451	1	1	1	1
100770	Porridge intake	0	0	0	21	11	0	0	1	0	0	Bowl	100102	100001	1	0	4	0	0	Question asked: "How many bowls of porridge, hot oat cereal (e.g. Ready Brek)?"<p>This question was only asked to participants who reported consuming breakfast cereals yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	50506	76612	2	1	1	1
100800	Muesli intake	0	0	0	21	11	0	0	1	0	0	Bowl	100102	100001	1	0	4	0	0	Question asked: "How many bowls of muesli?"<p>This question was only asked to participants who reported consuming breakfast cereals yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	46489	75538	4	1	1	1
100810	Oat crunch intake	0	0	0	21	11	0	0	1	0	0	Bowl	100102	100001	1	0	4	0	0	Question asked: "How many bowls of sweetened oat crunch type cereal (e.g. Jordans Country Crisp, chocolate nut clusters)?"<p>This question was only asked to participants who reported consuming breakfast cereals yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	13645	17832	5	1	1	1
100820	Sweetened cereal intake	0	0	0	21	11	0	0	1	0	0	Bowl	100102	100001	1	0	4	0	0	Question asked: "How many bowls of other sweetened cereals (e.g. Ricicles, Honey Nut Cornflakes, Coco Pops)?"<p>This question was only asked to participants who reported consuming breakfast cereals yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	10617	12887	6	1	1	1
100830	Plain cereal intake	0	0	0	21	11	0	0	1	0	0	Bowl	100102	100001	1	0	4	0	0	Question asked: "How many bowls of plain cereals (e.g. Cornflakes, Rice Krispies, Special K)?"<p>This question was only asked to participants who reported consuming breakfast cereals yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	28566	39009	7	1	1	1
100840	Bran cereal intake	0	0	0	21	11	0	0	1	0	0	Bowl	100102	100001	1	0	4	0	0	Question asked: "How many bowls of bran cereals (e.g. bran flakes, All Bran)?"<p>This question was only asked to participants who reported consuming breakfast cereals yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	29537	44228	8	1	1	1
100850	Whole-wheat cereal intake	0	0	0	21	11	0	0	1	0	0	Bowl	100102	100001	1	0	4	0	0	Question asked: "How many bowls of whole-wheat cereals (e.g. Weetabix, Shredded Wheat, Shreddies)?"<p>This question was only asked to participants who reported consuming breakfast cereals yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	39499	58109	9	1	1	1
100860	Other cereal intake	0	0	0	21	11	0	0	1	0	0	Bowl	100102	100001	1	0	4	0	0	Question asked: "How many bowls of other cereal?"<p>This question was only asked to participants who reported consuming breakfast cereals yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	10178	12596	10	1	1	1
100880	Dried fruit added to cereal	0	0	0	21	11	0	0	1	0	0		100102	100009	1	0	4	0	0	Question asked: "Did your cereal contain any dried fruit? (e.g. Sultana Bran, Fruit 'n' Fibre)?"<p>This question was only asked to participants who reported consuming breakfast cereals yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	82557	136496	12	1	1	1
100890	Milk added to cereal	0	0	0	21	11	0	0	1	0	0		100102	100009	1	0	4	0	0	Question asked: "Did you add milk to your cereal?"<p>This question was only asked to participants who reported consuming breakfast cereals yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	136508	246575	13	1	1	1
100900	Intake of sugar added to cereal	0	0	0	21	11	0	0	1	0	0		100102	100002	1	0	4	0	0	Question asked: "How many teaspoons of sugar, jam, honey or syrup did you add to your cereal or porridge (per bowl)?"<p>This question was only asked to participants who reported consuming breakfast cereals yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	41602	62056	14	1	1	1
100910	Intake of artificial sweetener added to cereal	0	0	0	21	11	0	0	1	0	0		100102	100002	1	0	4	0	0	Question asked: "How much sweetener (e.g. Canderel) did you add to your cereal or porridge (per bowl)?" <p>This question was only asked to participants who reported consuming breakfast cereals yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	7763	11203	15	1	1	1
100920	Type milk consumed	0	0	0	21	11	0	0	1	0	0		100107	100015	1	0	4	0	0	Question asked: "Which type of milk did you use most frequently yesterday? Remember milk in drinks, on cereal and in cooking."<p>If the participant activated the Help feature they were shown the message:<p><i>If you typically use more than one type of milk, please select the one you use the most, even if it is only used slightly more than other types. If you had 1% fat milk (e.g. Sainsbury's orange top milk) then please select Semi-skimmed milk.</i>	2012-09-14T00:00:00	2012-09-21T00:00:00	210947	458451	1	1	1	1
100940	Bread consumed	0	0	0	21	11	0	0	1	0	0		100101	100010	1	0	4	0	0	Question asked: "Did you eat any bread or crackers yesterday? e.g. toast, sandwiches, rice cakes, bread rolls, hotdog roll, crumpets, tortilla wraps."<p>If the participant activated the Help feature they were shown the message:<p><i>Please do not include pizza as this will be asked later. Please do not include croissants and pastries as that will be asked later. If your bread or crackers is not on the list, please record it under Other located at the bottom of the list.</i>	2012-09-14T00:00:00	2012-09-21T00:00:00	210947	458451	1	1	1	1
100950	Sliced bread intake	0	0	0	21	11	0	0	1	0	0	Slice	100101	100006	1	0	4	0	0	Question asked: "How many slices of sliced bread?"<p>This question was only asked to participants who reported consuming bread or crackers yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	160966	285263	2	1	1	1
101020	Baguette intake	0	0	0	21	11	0	0	1	0	0	Bread item	100101	100006	1	0	4	0	0	Question asked: "How many items of sandwich baguette, ciabatta, panini, or sub?"<p>This question was only asked to participants who reported consuming bread or crackers yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	36975	42443	5	1	1	1
101090	Bap intake	0	0	0	21	11	0	0	1	0	0	Bread item	100101	100006	1	0	4	0	0	Question asked: "How many items of large sandwich bap, stotty, pitta bread?"<p>This question was only asked to participants who reported consuming bread or crackers yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	14818	16216	8	1	1	1
101160	Bread roll intake	0	0	0	21	11	0	0	1	0	0	Bread item	100101	100006	1	0	4	0	0	Question asked: "How many items of bread roll, bap, burger bun, hotdog roll, bagel?"<p>This question was only asked to participants who reported consuming bread or crackers yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	55741	69753	11	1	1	1
101230	Naan bread intake	0	0	0	21	11	0	0	1	0	0	Bread item	100101	100006	1	0	4	0	0	Question asked: "How many items of naan bread?"<p>This question was only asked to participants who reported consuming bread or crackers yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	8823	9324	14	1	1	1
101240	Garlic bread intake	0	0	0	21	11	0	0	1	0	0	Slice	100101	100006	1	0	4	0	0	Question asked: "How many items of garlic bread?"<p>This question was only asked to participants who reported consuming bread or crackers yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	8402	8819	15	1	1	1
101250	Crispbread intake	0	0	0	21	11	0	0	1	0	0	Biscuit  / Item	100101	100006	1	0	4	0	0	Question asked: "How many items of crackers, crispbread, rice cakes, corn cakes (e.g. Ryvita)?"<p>This question was only asked to participants who reported consuming bread or crackers yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	43841	56458	16	1	1	1
101260	Oatcakes intake	0	0	0	21	11	0	0	1	0	0	Biscuit	100101	100006	1	0	4	0	0	Question asked: "How many items of oat cakes?"<p>This question was only asked to participants who reported consuming bread or crackers yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	16763	21339	17	1	1	1
101270	Other bread intake	0	0	0	21	11	0	0	1	0	0	Slice / Item	100101	100006	1	0	4	0	0	Question asked: "How many items of other bread (e.g. crumpets, tortilla wraps, breadsticks)?"<p>This question was only asked to participants who reported consuming bread or crackers yesterday.	2012-09-14T00:00:00	2012-09-21T00:00:00	25933	29708	18	1	1	1
101300	Butter/margarine on bread/crackers	0	0	0	21	11	0	0	1	0	0		100101	100010	1	0	4	0	0	Question asked: "Did you have any butter or margarine on your bread or crackers?"<p>If the participant activated the Help feature they were shown the message:<p><i>Previously, you were asked about bread and crackers. We'd now like to know how many of them had butter or margarine on them. The total displayed beside the bread type shows the number of slices/items that you had yesterday (as recorded in the bread/crackers page). The soft margarine spreads have extra options covering fat content and cholesterol lowering properties. Please tick all options that apply to you.</i>	2012-09-14T00:00:00	2012-09-21T00:00:00	161159	296140	20	1	1	1
101310	Number of bread slices with butter/margarine	0	0	0	21	11	0	0	1	0	0	Slice	100101	100006	1	0	4	0	0	Question asked: "How many of the slices of bread had butter/margarine?"<p>This question was only asked to participants who reported eating sliced bread and having butter or margarine on it.	2012-09-14T00:00:00	2012-09-21T00:00:00	137076	232016	21	1	1	1
101350	Number of baguettes with butter/margarine	0	0	0	21	11	0	0	1	0	0	Bread	100101	100006	1	0	4	0	0	Question asked: "How many of the sandwich baguette, ciabatta, panini, or sub had butter/margarine?"<p>This question was only asked to participants who reported consuming sandwich baguette, ciabatta, panini, or sub and having butter or margarine on it.	2012-09-14T00:00:00	2012-09-21T00:00:00	22300	24796	23	1	1	1
101390	Number of baps with  butter/margarine	0	0	0	21	11	0	0	1	0	0	Bread	100101	100006	1	0	4	0	0	Question asked: "How many of the large sandwich bap, stotty, pitta bread had butter/margarine?"<p>This question was only asked to participants who reported consuming large sandwich bap, stotty, pitta bread and having butter or margarine on it.	2012-09-14T00:00:00	2012-09-21T00:00:00	6736	7157	25	1	1	1
101430	Number of bread rolls with  butter/margarine	0	0	0	21	11	0	0	1	0	0	Bread	100101	100006	1	0	4	0	0	Question asked: "How many of the bread roll, bap, burger bun, hotdog roll, bagel had butter/margarine?"<p>This question was only asked to participants who reported consuming bread roll, bap, burger bun, hotdog roll, bagel and having butter or margarine on it.	2012-09-14T00:00:00	2012-09-21T00:00:00	38076	46145	27	1	1	1
101470	Number of crackers/crispbreads with butter/margarine	0	0	0	21	11	0	0	1	0	0	Biscuit/	100101	100006	1	0	4	0	0	Question asked: "How many of the crackers, crispbread, rice cakes, corn cakes had butter/margarine?"<p>This question was only asked to participants who reported consuming crackers, crispbread, rice cakes, corn cakes and having butter or margarine on it.	2012-09-14T00:00:00	2012-09-21T00:00:00	17410	21329	29	1	1	1
101510	Number of oatcakes with  butter/margarine	0	0	0	21	11	0	0	1	0	0	Biscuit	100101	100006	1	0	4	0	0	Question asked: "How many of the oat cakes had butter/margarine?"<p>This question was only asked to participants who reported consuming crackers, crispbread, rice cakes, corn cakes and having butter or margarine on it.	2012-09-14T00:00:00	2012-09-21T00:00:00	4024	4796	31	1	1	1
101550	Number of other bread types with  butter/margarine	0	0	0	21	11	0	0	1	0	0	Slice/	100101	100006	1	0	4	0	0	Question asked: "How many of the other bread type had butter/margarine?"<p>This question was only asked to participants who reported consuming other bread type and having butter or margarine on it.	2012-09-14T00:00:00	2012-09-21T00:00:00	12027	13332	33	1	1	1
101970	Double crust pastry intake	0	0	0	21	11	0	0	1	0	0	Slice / Item	100109	100004	1	0	4	0	0	Question asked: "How many slices/items of double crust pie (e.g. slice of a large pie, a whole small pie or pasty) did you have? N.B. Fillings and toppings should be recorded later."<p>If the participant activated the Help feature they were shown the message:<p><i>Small individual pies and pasties include mince pie, pork pie, cornish pasty, filo parcels etc. A double crust pie is a pie made with a pastry base and a pastry top.</i>	2012-09-14T00:00:00	2012-09-21T00:00:00	20692	22596	1	1	1	1
101980	Single crust pastry intake	0	0	0	21	11	0	0	1	0	0	Slice / Item	100109	100004	1	0	4	0	0	Question asked: "How many slices/items of single crust pie/flan (pastry base or pastry top, e.g. quiche) did you have? N.B. Fillings and toppings should be recorded later."<p>If the participant activated the Help feature they were shown the message:<p><i>A single crust pie is a pie made with either just the pastry base (such as a flan, quiche, or puff pastry tartlet) or just the pastry top (such as a bake topped with puff pastry).</i>	2012-09-14T00:00:00	2012-09-21T00:00:00	18682	19933	2	1	1	1
101990	Crumble intake	0	0	0	21	11	0	0	1	0	0	Serving	100109	100004	1	0	4	0	0	Question asked: "How many servings of crumble topping (e.g. fruit crumble, vegetable crumble) did you have? N.B. Fillings and toppings should be recorded later."	2012-09-14T00:00:00	2012-09-21T00:00:00	11540	12340	3	1	1	1
102000	Pizza intake	0	0	0	21	11	0	0	1	0	0	Medium slice	100109	100004	1	0	4	0	0	Question asked: "How many medium slices of pizza did you have? N.B. Fillings and toppings should be recorded later."	2012-09-14T00:00:00	2012-09-21T00:00:00	14908	15788	4	1	1	1
102010	Pancake intake	0	0	0	21	11	0	0	1	0	0	Pancake	100109	100004	1	0	4	0	0	Question asked: "How many pancakes/crepes did you have? N.B. Fillings and toppings should be recorded later."	2012-09-14T00:00:00	2012-09-21T00:00:00	3528	3585	5	1	1	1
102020	Scotch pancake intake	0	0	0	21	11	0	0	1	0	0	Pancake	100109	100004	1	0	4	0	0	Question asked: "How many scotch pancakes/blinis/American style pancakes did you have? N.B. Fillings and toppings should be recorded later."	2012-09-14T00:00:00	2012-09-21T00:00:00	3112	3318	6	1	1	1
102030	Yorkshire pudding intake	0	0	0	21	11	0	0	1	0	0	Muffin-sized pudding	100109	100004	1	0	4	0	0	Question asked: "How many muffin-sized pudding/servings of yorkshire pudding did you have? N.B. Fillings and toppings should be recorded later."<p>If the participant activated the Help feature they were shown the message:<p><i>Yorkshire pudding includes individual muffin-sized puddings, plus the large style Yorkshire pudding with or without filling (e.g. toad in the hole).</i>	2012-09-14T00:00:00	2012-09-21T00:00:00	12836	13818	7	1	1	1
102040	Indian snacks intake	0	0	0	21	11	0	0	1	0	0	Item	100109	100004	1	0	4	0	0	Question asked: "How many pakoras, onion bhajis, samosas did you have? N.B. Fillings and toppings should be recorded later."	2012-09-14T00:00:00	2012-09-21T00:00:00	5835	6090	8	1	1	1
102050	Croissant intake	0	0	0	21	11	0	0	1	0	0	Pastry	100109	100004	1	0	4	0	0	Question asked: "How many croissants did you have? N.B. Fillings and toppings should be recorded later."	2012-09-14T00:00:00	2012-09-21T00:00:00	9615	10777	9	1	1	1
102060	Danish pastry intake	0	0	0	21	11	0	0	1	0	0	Pastry	100109	100004	1	0	4	0	0	Question asked: "How many Danish pastries did you have? N.B. Fillings and toppings should be recorded later."	2012-09-14T00:00:00	2012-09-21T00:00:00	8916	9536	10	1	1	1
102070	Scone intake	0	0	0	21	11	0	0	1	0	0	Scone	100109	100004	1	0	4	0	0	Question asked: "How many scones (plain, fruit, cheese), cobblers did you have? N.B. Fillings and toppings should be recorded later."	2012-09-14T00:00:00	2012-09-21T00:00:00	19536	22249	11	1	1	1
102080	Yogurt/ice-cream consumers	0	0	0	21	11	0	0	1	0	0		100109	100010	1	0	4	0	0	Question asked: "Did you eat any yogurt or ice-cream yesterday?"	2012-09-14T00:00:00	2012-09-21T00:00:00	210947	458451	12	1	1	1
102090	Yogurt intake	0	0	0	21	11	0	0	1	0	0	Serving / small pot	100109	100003	1	0	4	0	0	Question asked: "How many servings/individual pots of yogurt (plain or flavoured) did you have?"<p>This question was only asked to participants who reported having consumed yogurt or ice-cream.	2012-09-14T00:00:00	2012-09-21T00:00:00	97436	154833	13	1	1	1
102120	Ice-cream intake	0	0	0	21	11	0	0	1	0	0	Serving / scoop	100109	100003	1	0	4	0	0	Question asked: "How many servings/individual ice creams of ice-cream (including individual ice-creams such as choc-ice, cornets) did you have?"<p>Two scoops is considered to be one serving of ice-cream. This question was only asked to participants who reported having consumed yogurt or ice-cream.	2012-09-14T00:00:00	2012-09-21T00:00:00	42404	51314	15	1	1	1
102130	Dessert consumers	0	0	0	21	11	0	0	1	0	0		100109	100010	1	0	4	0	0	Question asked: "Did you eat any cakes, puddings or other desserts yesterday? Also includes custard, cheesecake, rice pudding, sponge pudding etc."<p>If the participant activated the Help feature they were shown the message:<p><i>Fruit crumble/fruit pie is a special case and we ask that you record it as a portion of pastry or crumble (earlier page) plus a portion of stewed fruit (later page). Select which category best describes your type of dessert, otherwise select the Other category.</i>	2012-09-14T00:00:00	2012-09-21T00:00:00	210947	458451	16	1	1	1
102140	Milk-based pudding intake	0	0	0	21	11	0	0	1	0	0	Serving / small pot	100109	100003	1	0	4	0	0	Question asked: "How many servings/individual pots of custard, rice pudding, semolina pudding, blancmange did you have?"<p>This question was only asked to participants who reported consuming cakes, puddings or other desserts.	2012-09-14T00:00:00	2012-09-21T00:00:00	16823	18754	17	1	1	1
102150	Other milk-based pudding intake	0	0	0	21	11	0	0	1	0	0	Serving / small pot	100109	100003	1	0	4	0	0	Question asked: "How many servings/individual pots of other milk based desserts (e.g. mousse, tiramisu, creme caramel) did you have?"<p>This question was only asked to participants who reported consuming cakes, puddings or other desserts.	2012-09-14T00:00:00	2012-09-21T00:00:00	9797	10506	18	1	1	1
102170	Soya dessert intake	0	0	0	21	11	0	0	1	0	0	Serving / small pot	100109	100003	1	0	4	0	0	Question asked: "How many servings/individual pots of soya ice cream, soya yogurt, other soya dessert did you have?"<p>This question was only asked to participants who reported consuming cakes, puddings or other desserts.	2012-09-14T00:00:00	2012-09-21T00:00:00	2287	2581	20	1	1	1
102180	Fruitcake intake	0	0	0	21	11	0	0	1	0	0	Slice	100109	100003	1	0	4	0	0	Question asked: "How many slices of fruit cake did you have?"<p>This question was only asked to participants who reported consuming cakes, puddings or other desserts.	2012-09-14T00:00:00	2012-09-21T00:00:00	21335	24050	21	1	1	1
102190	Cake intake	0	0	0	21	11	0	0	1	0	0	Slice/Item	100109	100003	1	0	4	0	0	Question asked: "How many slices/items of cake, muffin, flapjack, brownie, pecan pie did you have?"<p>This question was only asked to participants who reported consuming cakes, puddings or other desserts.	2012-09-14T00:00:00	2012-09-21T00:00:00	50695	62550	22	1	1	1
102200	Doughnut intake	0	0	0	21	11	0	0	1	0	0	Item	100109	100003	1	0	4	0	0	Question asked: "How many items of doughnuts did you have?"<p>This question was only asked to participants who reported consuming cakes, puddings or other desserts.	2012-09-14T00:00:00	2012-09-21T00:00:00	3672	3810	23	1	1	1
102210	Sponge pudding intake	0	0	0	21	11	0	0	1	0	0	Serving	100109	100003	1	0	4	0	0	Question asked: "How many servings of sponge pudding did you have?"<p>This question was only asked to participants who reported consuming cakes, puddings or other desserts.	2012-09-14T00:00:00	2012-09-21T00:00:00	9829	10291	24	1	1	1
102220	Cheesecake intake	0	0	0	21	11	0	0	1	0	0	Serving	100109	100003	1	0	4	0	0	Question asked: "How many servings of cheesecake did you have?"<p>This question was only asked to participants who reported consuming cakes, puddings or other desserts.	2012-09-14T00:00:00	2012-09-21T00:00:00	10111	10555	25	1	1	1
102230	Other dessert intake	0	0	0	21	11	0	0	1	0	0	Serving / small pot	100109	100003	1	0	4	0	0	Question asked: "How many servings/individual pots of other desserts did you have?"<p>This question was only asked to participants who reported consuming cakes, puddings or other desserts.	2012-09-14T00:00:00	2012-09-21T00:00:00	36055	41086	26	1	1	1
102250	Sweet snack consumers	0	0	0	21	11	0	0	1	0	0		100109	100010	1	0	4	0	0	Question asked: "Did you eat any biscuits, chocolate or sweets yesterday? Also includes sweets, cereal bars, chocolate covered raisins, sweet popcorn and other sweet snacks."<p>If the participant activated the Help feature they were shown the message:<p><i>Select which category best describes your type of sweet snack food, otherwise select the Other category.</i>	2012-09-14T00:00:00	2012-09-21T00:00:00	210947	458451	28	1	1	1
102260	Chocolate bar intake	0	0	0	21	11	0	0	1	0	0	Bar (~50g)	100109	100005	1	0	4	0	0	Question asked: "How many chocolate bars (~50 g e.g. Crunchie, Snickers) did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.<p>If the participant activated the Help feature they were shown the message:<p><i>Chocolate bars about 50g in weight mean standard size bars, rather than snack size or jumbo size.</i>	2012-09-14T00:00:00	2012-09-21T00:00:00	28378	33298	29	1	1	1
102270	White chocolate intake	0	0	0	21	11	0	0	1	0	0	Bar (~50g)	100109	100005	1	0	4	0	0	Question asked: "How many white chocolate bars (~50 g) did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.<p>If the participant activated the Help feature they were shown the message:<p><i>If you have had just one or two squares of chocolate, or just one or two sweets, please record this as 1/4.</i>	2012-09-14T00:00:00	2012-09-21T00:00:00	2371	2483	30	1	1	1
102280	Milk chocolate intake	0	0	0	21	11	0	0	1	0	0	Bar (~50g)	100109	100005	1	0	4	0	0	Question asked: "How many milk chocolate bars (~50 g) did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.<p>If the participant activated the Help feature they were shown the message:<p><i>If you have had just one or two squares of chocolate, or just one or two sweets, please record this as 1/4.</i>	2012-09-14T00:00:00	2012-09-21T00:00:00	25766	30029	31	1	1	1
102290	Dark chocolate intake	0	0	0	21	11	0	0	1	0	0	Bar (~50g)	100109	100005	1	0	4	0	0	Question asked: "How many plain/dark chocolate bars (~50 g) did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.<p>If the participant activated the Help feature they were shown the message:<p><i>If you have had just one or two squares of chocolate, or just one or two sweets, please record this as 1/4.</i>	2012-09-14T00:00:00	2012-09-21T00:00:00	22601	29900	32	1	1	1
102300	Chocolate-covered raisin intake	0	0	0	21	11	0	0	1	0	0	Handful	100109	100005	1	0	4	0	0	Question asked: "How many handfuls of chocolate/yogurt covered raisins did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.	2012-09-14T00:00:00	2012-09-21T00:00:00	3502	3727	33	1	1	1
102310	Chocolate sweet intake	0	0	0	21	11	0	0	1	0	0	Handful	100109	100005	1	0	4	0	0	Question asked: "How many handfuls of chocolate sweets (e.g. Roses, Milk Tray) did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.	2012-09-14T00:00:00	2012-09-21T00:00:00	22614	25444	34	1	1	1
102320	Diet sweets intake	0	0	0	21	11	0	0	1	0	0	Handful	100109	100005	1	0	4	0	0	Question asked: "How many handfuls of low sugar/sugar free sweets (hard and soft) did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.	2012-09-14T00:00:00	2012-09-21T00:00:00	3221	3520	35	1	1	1
102330	Sweets intake	0	0	0	21	11	0	0	1	0	0	Handful	100109	100005	1	0	4	0	0	Question asked: "How many handfuls of sweets (hard and soft, e.g. peppermints, toffees, fudge, fruit flavoured sweets) did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.	2012-09-14T00:00:00	2012-09-21T00:00:00	25521	30703	36	1	1	1
102340	Chocolate-covered biscuits intake	0	0	0	21	11	0	0	1	0	0	Biscuit	100109	100005	1	0	4	0	0	Question asked: "How many chocolate covered biscuits (e.g. Penguin) did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.<p>If the participant activated the Help feature they were shown the message:<p><i>Very large cookies count as two biscuits.</i>	2012-09-14T00:00:00	2012-09-21T00:00:00	30064	36860	37	1	1	1
102350	Chocolate biscuits intake	0	0	0	21	11	0	0	1	0	0	Biscuit	100109	100005	1	0	4	0	0	Question asked: "How many chocolate biscuits (e.g. choc chip cookies, chocolate digestive biscuits) did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.<p>If the participant activated the Help feature they were shown the message:<p><i>Very large cookies count as two biscuits.</i>	2012-09-14T00:00:00	2012-09-21T00:00:00	37734	45630	38	1	1	1
102360	Sweet biscuits intake	0	0	0	21	11	0	0	1	0	0	Biscuit	100109	100005	1	0	4	0	0	Question asked: "How many sweet biscuits (e.g. digestive, shortbread, ginger nut) did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.<p>If the participant activated the Help feature they were shown the message:<p><i>Very large cookies count as two biscuits.</i>	2012-09-14T00:00:00	2012-09-21T00:00:00	63910	85943	39	1	1	1
102370	Cereal bar intake	0	0	0	21	11	0	0	1	0	0	Bar	100109	100005	1	0	4	0	0	Question asked: "How many cereal bars did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.	2012-09-14T00:00:00	2012-09-21T00:00:00	21589	26423	40	1	1	1
102380	Other sweets intake	0	0	0	21	11	0	0	1	0	0	Handful/Item	100109	100005	1	0	4	0	0	Question asked: "How many handfuls/items of other sweet snacks did you have?"<p>This question was only asked to participants who reported consuming any biscuits, chocolate or sweets.	2012-09-14T00:00:00	2012-09-21T00:00:00	10292	10931	41	1	1	1
102400	Savoury snack consumers	0	0	0	21	11	0	0	1	0	0		100109	100010	1	0	4	0	0	Question asked: "Did you eat any crisps, nuts or savoury snacks yesterday? Also includes seeds and olives."<p>If the participant activated the Help feature they were shown the message:<p><i>Select which category best describes your type of savoury snack, otherwise select the Other category.</i>	2012-09-14T00:00:00	2012-09-21T00:00:00	210947	458451	43	1	1	1
102410	Salted peanuts intake	0	0	0	21	11	0	0	1	0	0	Handful	100109	100003	1	0	4	0	0	Question asked: "How many handfuls of roasted/salted peanuts did you have?"<p>This question was only asked to participants who reported consuming savoury snacks.	2012-09-14T00:00:00	2012-09-21T00:00:00	14426	17110	44	1	1	1
102420	Unsalted peanuts intake	0	0	0	21	11	0	0	1	0	0	Handful	100109	100003	1	0	4	0	0	Question asked: "How many handfuls of unsalted (monkey nuts) peanuts did you have?"<p>This question was only asked to participants who reported consuming savoury snacks.	2012-09-14T00:00:00	2012-09-21T00:00:00	3744	4222	45	1	1	1
102430	Salted nuts intake	0	0	0	21	11	0	0	1	0	0	Handful	100109	100003	1	0	4	0	0	Question asked: "How many handfuls of salted/roasted nuts (e.g. almonds, cashews, pistachios) did you have?"<p>This question was only asked to participants who reported consuming savoury snacks.	2012-09-14T00:00:00	2012-09-21T00:00:00	10286	11499	46	1	1	1
102440	Unsalted nuts intake	0	0	0	21	11	0	0	1	0	0	Handful	100109	100003	1	0	4	0	0	Question asked: "How many handfuls of unsalted nuts (e.g. almonds, cashews, walnuts) did you have?"<p>This question was only asked to participants who reported consuming savoury snacks.	2012-09-14T00:00:00	2012-09-21T00:00:00	27015	36059	47	1	1	1
102450	Seeds intake	0	0	0	21	11	0	0	1	0	0	Handful	100109	100003	1	0	4	0	0	Question asked: "How many handfuls of seeds (e.g. sunflower, pumpkin, linseeds) did you have?"<p>This question was only asked to participants who reported consuming savoury snacks.	2012-09-14T00:00:00	2012-09-21T00:00:00	11981	15475	48	1	1	1
102460	Crisp intake	0	0	0	21	11	0	0	1	0	0	Small bag	100109	100003	1	0	4	0	0	Question asked: "How many small bags of crisps (e.g. Walkers, Sensations, Doritos, Hula Hoops) did you have?"<p>This question was only asked to participants who reported consuming savoury snacks.	2012-09-14T00:00:00	2012-09-21T00:00:00	63315	83927	49	1	1	1
102470	Savoury biscuits intake	0	0	0	21	11	0	0	1	0	0	Bag	100109	100003	1	0	4	0	0	Question asked: "How many snack size bags of savoury crispbread/corn cake snacks (e.g. Snack-a-Jack, flavoured Ryvita) did you have?"<p>This question was only asked to participants who reported consuming savoury snacks.	2012-09-14T00:00:00	2012-09-21T00:00:00	3811	4039	50	1	1	1
102480	Cheesy biscuits intake	0	0	0	21	11	0	0	1	0	0	Handful/Bag	100109	100003	1	0	4	0	0	Question asked: "How many handfuls/bags of cheesy biscuits (e.g. Mini Cheddars, Tuc) did you have?"<p>This question was only asked to participants who reported consuming savoury snacks.	2012-09-14T00:00:00	2012-09-21T00:00:00	6056	6562	51	1	1	1
102490	Olives intake	0	0	0	21	11	0	0	1	0	0	Handful	100109	100003	1	0	4	0	0	Question asked: "How many handfuls of olives did you have?"<p>This question was only asked to participants who reported consuming savoury snacks.	2012-09-14T00:00:00	2012-09-21T00:00:00	14807	17407	52	1	1	1
102500	Other savoury snack intake	0	0	0	21	11	0	0	1	0	0	Handful/Bag	100109	100003	1	0	4	0	0	Question asked: "How many handfuls/bags of other savoury snack did you have?"<p>This question was only asked to participants who reported consuming savoury snacks.	2012-09-14T00:00:00	2012-09-21T00:00:00	11632	12766	53	1	1	1
102520	Soup consumers	0	0	0	21	11	0	0	1	0	0		100109	100010	1	0	4	0	0	Question asked: "Did you have any soup yesterday? Include cup-a-soup, canned soup, soup in cartons or pouches, soup eaten out and soup made at home."<p>If the participant activated the Help feature they were shown the message:<p><i>Soup eaten out will likely be either canned soup or home-made soup. For example: if the soup being served in a cafe has a brand name such as Heinz, please choose carton/pouch/canned soup; if the soup has been freshly prepared in a restaurant, please choose home-made soup. If home-made or carton/pouch/canned soup is recorded, please use the tick boxes to record the main ingredients. Please do not record these ingredients elsewhere. If a suitable tick box is not available, please use the Other tick box and enter the ingredient(s) in the box beside it.</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	210947	458451	55	1	1	1
102530	Powdered/instant soup intake	0	0	0	21	11	0	0	1	0	0	Mug/Bowl	100109	100004	1	0	4	0	0	Question asked: "How many mugs/bowls of dried/powdered soup (e.g. Cup-a-Soup) did you have?"<p>This question was only asked to participants who reported consuming soup.	2012-09-14T00:00:00	2012-09-22T00:00:00	8834	10591	56	1	1	1
102540	Canned soup intake	0	0	0	21	11	0	0	1	0	0	Bowl	100109	100004	1	0	4	0	0	Question asked: "How many bowls of carton/pouch/canned soup did you have?"<p>This question was only asked to participants who reported consuming soup.	2012-09-14T00:00:00	2012-09-22T00:00:00	20794	23842	57	1	1	1
102620	Homemade soup intake	0	0	0	21	11	0	0	1	0	0	Bowl	100109	100004	1	0	4	0	0	Question asked: "How many bowls of home-made soup did you have?"<p>This question was only asked to participants who reported consuming soup.	2012-09-14T00:00:00	2012-09-22T00:00:00	34424	41761	60	1	1	1
102700	Starchy food consumers	0	0	0	21	11	0	0	1	0	0		100101	100010	1	0	4	0	0	Question asked: "Did you eat any pasta, rice, sushi or couscous yesterday? This includes noodles, lasagne pasta sheets and other cooked grains such as bulgar wheat."<p>This can accompany a meal, or be a meal in itself. It may be hot or cold.	2012-09-14T00:00:00	2012-09-22T00:00:00	210947	458451	37	1	1	1
102710	White pasta intake	0	0	0	21	11	0	0	1	0	0	Serving	100101	100001	1	0	4	0	0	Question asked: "How many servings of white pasta/noodles did you have?"<p>This question was only asked to participants who reported consuming pasta, rice, sushi or couscous.<p>If the participant activated the Help feature they were shown the message:<p><i>Please treat coloured pasta (e.g. green) as white pasta.</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	44641	51968	38	1	1	1
102720	Wholemeal pasta intake	0	0	0	21	11	0	0	1	0	0	Serving	100101	100001	1	0	4	0	0	Question asked: "How many servings of wholemeal pasta did you have?"<p>This question was only asked to participants who reported consuming pasta, rice, sushi or couscous.	2012-09-14T00:00:00	2012-09-22T00:00:00	8378	9136	39	1	1	1
102730	White rice intake	0	0	0	21	11	0	0	1	0	0	Serving	100101	100001	1	0	4	0	0	Question asked: "How many servings of white rice did you have?"<p>This question was only asked to participants who reported consuming pasta, rice, sushi or couscous.	2012-09-14T00:00:00	2012-09-22T00:00:00	43258	50721	40	1	1	1
102740	Brown rice intake	0	0	0	21	11	0	0	1	0	0	Serving	100101	100001	1	0	4	0	0	Question asked: "How many servings of brown rice did you have?"<p>This question was only asked to participants who reported consuming pasta, rice, sushi or couscous.	2012-09-14T00:00:00	2012-09-22T00:00:00	9903	10961	41	1	1	1
102750	Sushi intake	0	0	0	21	11	0	0	1	0	0	Sushi	100101	100001	1	0	4	0	0	Question asked: "How many pieces of sushi did you have?"<p>This question was only asked to participants who reported consuming pasta, rice, sushi or couscous.<p>If the participant activated the Help feature they were shown the message:<p><i>Sushi consists of sushi rice, sometimes with seaweed, with a variety of toppings/fillings made from vegetables, fish and meat. If you record that you have eaten sushi, then you do not need to record the toppings/fillings or seaweed elsewhere.</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	1471	1535	42	1	1	1
102760	Snackpot intake	0	0	0	21	11	0	0	1	0	0	Pot	100101	100001	1	0	4	0	0	Question asked: "How many pots of snack pot, noodles/rice (e.g. Pot Noodle) did you have?"<p>This question was only asked to participants who reported consuming pasta, rice, sushi or couscous.	2012-09-14T00:00:00	2012-09-22T00:00:00	752	772	43	1	1	1
102770	Couscous intake	0	0	0	21	11	0	0	1	0	0	Serving	100101	100001	1	0	4	0	0	Question asked: "How many servings of couscous did you have?"<p>This question was only asked to participants who reported consuming pasta, rice, sushi or couscous.	2012-09-14T00:00:00	2012-09-22T00:00:00	8598	9158	44	1	1	1
102780	Other grain intake	0	0	0	21	11	0	0	1	0	0	Serving	100101	100001	1	0	4	0	0	Question asked: "How many servings of other cooked grains such as bulgur wheat, millet or pearl barley did you have?"<p>This question was only asked to participants who reported consuming pasta, rice, sushi or couscous.	2012-09-14T00:00:00	2012-09-22T00:00:00	2658	2825	45	1	1	1
102800	Cheese consumers	0	0	0	21	11	0	0	1	0	0		100107	100010	1	0	4	0	0	Question asked: "Did you eat any cheese yesterday? Cheese in sandwiches, on burgers, on jacket potato, pasta dishes."<p>If the participant activated the Help feature they were shown the message:<p><i>Please do not include cheese sauce as this will be asked later. A guide to servings: 1 serving of cheese - a chunk about the size of a small matchbox; 1 serving of grated cheese - about a handful or a large spoonful; 1 serving of spreadable cheese - the amount spread onto a typical slice of square sandwich bread.</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	210947	458451	3	1	1	1
102810	Low fat hard cheese intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of low fat hard cheese (e.g. Edam, reduced fat Cheddar) did you have?"<p>This question was only asked to participants who reported consuming cheese.	2012-09-14T00:00:00	2012-09-22T00:00:00	20006	23369	4	1	1	1
102820	Hard cheese intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of hard cheese (e.g. Cheddar, Parmesan) did you have?"<p>This question was only asked to participants who reported consuming cheese.	2012-09-14T00:00:00	2012-09-22T00:00:00	91890	130074	5	1	1	1
102830	Soft cheese intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of soft cheese (e.g. Brie) did you have?"<p>This question was only asked to participants who reported consuming cheese.	2012-09-14T00:00:00	2012-09-22T00:00:00	17482	20064	6	1	1	1
102840	Blue cheese intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of blue cheese (e.g. Stilton) did you have?"<p>This question was only asked to participants who reported consuming cheese.	2012-09-14T00:00:00	2012-09-22T00:00:00	12935	14747	7	1	1	1
102850	Low fat cheese spread intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of low fat spreadable cheese did you have?"<p>This question was only asked to participants who reported consuming cheese.	2012-09-14T00:00:00	2012-09-22T00:00:00	7428	8412	8	1	1	1
102860	Cheese spread intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of spreadable cheese (e.g. cream cheese) did you have?"<p>This question was only asked to participants who reported consuming cheese.	2012-09-14T00:00:00	2012-09-22T00:00:00	7747	8330	9	1	1	1
102870	Cottage cheese intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of cottage cheese did you have?"<p>This question was only asked to participants who reported consuming cheese.	2012-09-14T00:00:00	2012-09-22T00:00:00	5607	6626	10	1	1	1
102880	Feta intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of feta did you have?"<p>This question was only asked to participants who reported consuming cheese.	2012-09-14T00:00:00	2012-09-22T00:00:00	5480	5829	11	1	1	1
102890	Mozzarella intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of mozzarella did you have?"<p>This question was only asked to participants who reported consuming cheese.	2012-09-14T00:00:00	2012-09-22T00:00:00	7144	7507	12	1	1	1
102900	Goat's cheese intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of goat's cheese did you have?"<p>This question was only asked to participants who reported consuming cheese.	2012-09-14T00:00:00	2012-09-22T00:00:00	6772	7676	13	1	1	1
102910	Other cheese intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of other cheese did you have?"<p>This question was only asked to participants who reported consuming cheese.	2012-09-14T00:00:00	2012-09-22T00:00:00	8425	8964	14	1	1	1
102930	Egg consumers	0	0	0	21	11	0	0	1	0	0		100107	100010	1	0	4	0	0	Question asked: "Did you eat any eggs yesterday? e.g. with breakfast, with a salad, with toast, part of a main meal or in sandwiches."<p>If the participant activated the Help feature they were shown the message:<p><i>Gala pies (pork pies with egg) should have the boiled egg part recorded in this section (don't forget to record the pastry and pork as well). Do not count eggs that are cooking ingredients such as those in cakes or homemade burgers.</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	210947	458451	16	1	1	1
102940	Whole egg intake	0	0	0	21	11	0	0	1	0	0	Number of eggs	100107	100003	1	0	4	0	0	Question asked: "How many whole eggs (e.g. fried, boiled, poached) did you have?"<p>This question was only asked to participants who reported consuming eggs.	2012-09-14T00:00:00	2012-09-22T00:00:00	52133	64926	17	1	1	1
102950	Omelette intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of omelettes or scrambled eggs did you have?"<p>This question was only asked to participants who reported consuming eggs.	2012-09-14T00:00:00	2012-09-22T00:00:00	20383	22374	18	1	1	1
102960	Eggs in sandwiches intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of egg in sandwiches (made with or without mayonnaise) did you have?"<p>This question was only asked to participants who reported consuming eggs.	2012-09-14T00:00:00	2012-09-22T00:00:00	10302	10914	19	1	1	1
102970	Scotch egg intake	0	0	0	21	11	0	0	1	0	0	Each	100107	100003	1	0	4	0	0	Question asked: "How many scotch eggs did you have?"<p>This question was only asked to participants who reported consuming eggs.	2012-09-14T00:00:00	2012-09-22T00:00:00	988	1015	20	1	1	1
102980	Other egg intake	0	0	0	21	11	0	0	1	0	0	Serving	100107	100003	1	0	4	0	0	Question asked: "How many servings of other egg dishes did you have?"<p>This question was only asked to participants who reported consuming eggs.	2012-09-14T00:00:00	2012-09-22T00:00:00	6462	6746	21	1	1	1
103000	Meat consumers	0	0	0	21	11	0	0	1	0	0		100106	100010	1	0	4	0	0	Question asked: "Did you eat any meat or poultry yesterday? Think about curry, stir-fry, sandwiches, pie fillings, sausages/burgers, liver, pate or mince."<p>If the participant activated the Help feature they were shown the message:<p><i>Select which category best describes your type of meat or poultry, otherwise select the Other category. Game and offal (not liver) should be recorded in the Other category.</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	210947	458451	1	1	1	1
103010	Sausage intake	0	0	0	21	11	0	0	1	0	0	Each	100106	100016	1	0	4	0	0	Question asked: "How many sausages did you have?"<p>This question was only asked to participants who reported consuming meat or poultry.	2012-09-14T00:00:00	2012-09-22T00:00:00	32209	36024	2	1	1	1
103020	Beef intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100016	1	0	4	0	0	Question asked: "How many servings of beef (e.g. roast, steak, mince, curry, burger) did you have?"<p>This question was only asked to participants who reported consuming meat or poultry.	2012-09-14T00:00:00	2012-09-22T00:00:00	69687	85857	3	1	1	1
103030	Pork intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100016	1	0	4	0	0	Question asked: "How many servings of pork (e.g. roast, chops, sweet and sour) did you have?"<p>This question was only asked to participants who reported consuming meat or poultry.	2012-09-14T00:00:00	2012-09-22T00:00:00	28881	32024	4	1	1	1
103040	Lamb intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100016	1	0	4	0	0	Question asked: "How many servings of lamb or mutton (e.g. roast, chops, stew, burger) did you have?"<p>This question was only asked to participants who reported consuming meat or poultry.	2012-09-14T00:00:00	2012-09-22T00:00:00	22834	24904	5	1	1	1
103050	Crumbed or deep-fried poultry intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100016	1	0	4	0	0	Question asked: "How many servings of chicken or turkey in breadcrumbs or deep fried (e.g. nuggets, KFC) did you have?"<p>This question was only asked to participants who reported consuming meat or poultry.	2012-09-14T00:00:00	2012-09-22T00:00:00	13762	14475	6	1	1	1
103060	Poultry intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100016	1	0	4	0	0	Question asked: "How many servings of chicken or turkey (e.g. roast, drumsticks, curry) did you have?"<p>This question was only asked to participants who reported consuming meat or poultry.	2012-09-14T00:00:00	2012-09-22T00:00:00	83138	107262	7	1	1	1
103070	Bacon intake	0	0	0	21	11	0	0	1	0	0	Rasher	100106	100016	1	0	4	0	0	Question asked: "How many rashers of bacon did you have?"<p>This question was only asked to participants who reported consuming meat or poultry.	2012-09-14T00:00:00	2012-09-22T00:00:00	37280	43185	8	1	1	1
103080	Ham intake	0	0	0	21	11	0	0	1	0	0	Slice	100106	100016	1	0	4	0	0	Question asked: "How many slices of ham, Parma ham, salami, pastrami, cured meats did you have?"<p>This question was only asked to participants who reported consuming meat or poultry.	2012-09-14T00:00:00	2012-09-22T00:00:00	57062	71314	9	1	1	1
103090	Liver intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100016	1	0	4	0	0	Question asked: "How many servings of liver or liver pate did you have?"<p>This question was only asked to participants who reported consuming meat or poultry.	2012-09-14T00:00:00	2012-09-22T00:00:00	9132	9773	10	1	1	1
103100	Other meat intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100016	1	0	4	0	0	Question asked: "How many servings of other meat (e.g. duck, goose, kidney) did you have?"<p>This question was only asked to participants who reported consuming meat or poultry.	2012-09-14T00:00:00	2012-09-22T00:00:00	8735	9155	11	1	1	1
103120	Fat removed from meat	0	0	0	21	11	0	0	1	0	0		100106	100008	1	0	4	0	0	Question asked: "Did you remove the fat from the beef, pork, lamb, mutton, bacon, ham or other cured meats?"<p>This question was only asked to participants who reported consuming these types of meat.	2012-09-14T00:00:00	2012-09-22T00:00:00	105562	152661	14	1	1	1
103130	Skin removed from poultry	0	0	0	21	11	0	0	1	0	0		100106	100008	1	0	4	0	0	Question asked: "Did you remove the skin from the chicken or turkey?"<p>This question was only asked to participants who reported consuming poultry.<p>If the participant activated the Help feature they were shown the message:<p><i>N/A means Not Applicable.</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	82009	106176	13	1	1	1
103140	Fish consumer	0	0	0	21	11	0	0	1	0	0		100106	100010	1	0	4	0	0	Question asked: "Did you eat any fish or seafood yesterday? e.g. at breakfast, takeaway with chips, smoked fish, fish pate, tuna in sandwiches."<p>If the participant activated the Help feature they were shown the message:<p><i>Any fish or seafood used in sushi does not need to be recorded here. Sushi should have been recorded previously in the pasta and rice section. Select which category best describes the type of fish you ate, otherwise select the Other category.</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	210947	458451	15	1	1	1
103150	Tinned tuna intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100004	1	0	4	0	0	Question asked: "How many servings of tinned tuna did you have?"<p>This question was only asked to participants who reported consuming fish or seafood.	2012-09-14T00:00:00	2012-09-22T00:00:00	20551	22795	16	1	1	1
103160	Oily fish intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100004	1	0	4	0	0	Question asked: "How many servings of oily fish (e.g. salmon, tinned salmon, herring, mackerel, sardines, fresh tuna steak) did you have?"<p>This question was only asked to participants who reported consuming fish or seafood.	2012-09-14T00:00:00	2012-09-22T00:00:00	44506	53744	17	1	1	1
103170	Breaded fish intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100004	1	0	4	0	0	Question asked: "How many servings of breaded fish (e.g. fish fingers) or fish cakes did you have?"<p>This question was only asked to participants who reported consuming fish or seafood.<p>If the participant activated the Help feature they were shown the message:<p><i>Two fish fingers or two fish cakes count as one serving.</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	9725	10219	18	1	1	1
103180	Battered fish intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100004	1	0	4	0	0	Question asked: "How many servings of battered fish did you have?"<p>This question was only asked to participants who reported consuming fish or seafood.	2012-09-14T00:00:00	2012-09-22T00:00:00	8837	9162	19	1	1	1
103190	White fish intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100004	1	0	4	0	0	Question asked: "How many servings of white fish (e.g. cod, haddock, fish pie) did you have?"<p>This question was only asked to participants who reported consuming fish or seafood.	2012-09-14T00:00:00	2012-09-22T00:00:00	21710	23581	20	1	1	1
103200	Prawns intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100004	1	0	4	0	0	Question asked: "How many servings of prawns did you have?"<p>This question was only asked to participants who reported consuming fish or seafood.	2012-09-14T00:00:00	2012-09-22T00:00:00	19110	21011	21	1	1	1
103210	Lobster/crab intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100004	1	0	4	0	0	Question asked: "How many servings of lobster or crab did you have?"<p>This question was only asked to participants who reported consuming fish or seafood.	2012-09-14T00:00:00	2012-09-22T00:00:00	2275	2344	22	1	1	1
103220	Shellfish intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100004	1	0	4	0	0	Question asked: "How many servings of shellfish (e.g. mussels, scallops) did you have?"<p>This question was only asked to participants who reported consuming fish or seafood.	2012-09-14T00:00:00	2012-09-22T00:00:00	4829	5055	23	1	1	1
103230	Other fish intake	0	0	0	21	11	0	0	1	0	0	Serving	100106	100004	1	0	4	0	0	Question asked: "How many servings of other fish did you have?"<p>This question was only asked to participants who reported consuming fish or seafood.	2012-09-14T00:00:00	2012-09-22T00:00:00	8117	8527	24	1	1	1
103250	Vegetarian alternatives intake	0	0	0	21	11	0	0	1	0	0		100111	100010	1	0	4	0	0	Question asked: "Did you eat any vegetarian alternatives to meat yesterday? e.g. vegetarian burgers / sausages, nut roast, tofu, soya, Quorn."<p>If the participant activated the Help feature they were shown the message:<p><i>Select which category best describes your type of vegetarian food, otherwise select the Other category.</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	210947	458451	1	1	1	1
103260	Vegetarian sausages/burgers intake	0	0	0	21	11	0	0	1	0	0	Each	100111	100004	1	0	4	0	0	Question asked: "How many vegetarian sausages/burgers did you have?"<p>This question was only asked to participants who reported consuming vegetarian alternatives.	2012-09-14T00:00:00	2012-09-22T00:00:00	3717	4213	2	1	1	1
103270	Tofu intake	0	0	0	21	11	0	0	1	0	0	Serving	100111	100004	1	0	4	0	0	Question asked: "How many servings of tofu/tempeh/TVP/soya mince did you have?"<p>This question was only asked to participants who reported consuming vegetarian alternatives.<p>If the participant activated the Help feature they were shown the message:<p><i>Select which category best describes your type of vegetarian food, otherwise select the Other category.</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	2933	3360	3	1	1	1
103280	Quorn intake	0	0	0	21	11	0	0	1	0	0	Serving	100111	100004	1	0	4	0	0	Question asked: "How many servings of Quorn did you have?"<p>This question was only asked to participants who reported consuming vegetarian alternatives.	2012-09-14T00:00:00	2012-09-22T00:00:00	5250	6391	4	1	1	1
103290	Other vegetarian alternative intake	0	0	0	21	11	0	0	1	0	0	Serving	100111	100004	1	0	4	0	0	Question asked: "How many servings of other vegetarian alternative (e.g. nut roast) did you have?"<p>This question was only asked to participants who reported consuming vegetarian alternatives.<p>If the participant activated the Help feature they were shown the message:<p><i>If you record that you had a nut roast or a lentil roast here, you do not need to record the nuts/vegetables/lentils anywhere else.</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	3720	3959	5	1	1	1
103310	Spreads/sauces consumers	0	0	0	21	11	0	0	1	0	0		100110	100010	1	0	4	0	0	Question asked: "Did you have any spreads, sauces, dips, jams or honey yesterday? e.g. Marmite, cream, mayo, hummus, dressings, ketchup, gravy, white sauce, cheese sauce, pasta sauce."<p>If the participant activated the Help feature they were shown the message:<p><i>Please do not include cream cheese as that was asked about in the cheese section. Select which category best describes your type of spread, sauce or dip, otherwise select the Other category.</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	210947	458451	1	1	1	1
103980	No fat for cooking	0	0	0	21	11	0	0	1	0	0		100110	100010	1	0	4	0	0	Question asked: "Were no fats or oils were used in cooking yesterday?"<p>If the participant activated the Help feature they were shown the message:<p><i>Only use the None option at the bottom of the list if you are completely certain you did not have any kind of oil or fat at all (e.g. only salad eaten).</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	67306	89307	8	1	1	1
103990	Vegetable consumers	0	0	0	21	11	0	0	1	0	0		100103	100010	1	0	4	0	0	Question asked: "Did you eat any beans, lentils, potatoes or vegetables yesterday? Include fresh, tinned, frozen, dried; chips, salad, coleslaw, baked beans, chickpeas, veg in stews, pies etc."<p>If the participant activated the Help feature they were shown the message:<p><i>Please include all vegetables, whether they are eaten by themselves, as an accompaniment or within a particular dish/meal such as a stew or pie. A serving of vegetables would be the typical amount dished up as an accompaniment to main meal. e.g. if you had a roast dinner with meat, potatoes, carrots and peas, most people would have one serving of potatoes, one serving of carrots and one serving of peas. For small amounts of vegetables that are not big enough to be counted individually (e.g. in a stew), please guess the number of servings and record that under Vegetable pieces. A serving is about the amount that would be dished up using a serving spoon (large spoon typically used in canteens or self-service buffets). Example: a beef stew with carrot and parsnip may have enough vegetables in it to count as a half serving of carrots plus a half serving of parsnip (possibly even a whole serving if there are a lot of vegetables in the stew). If not, it may be better to record the vegetables as a half serving of Vegetable pieces. For a selection of vegetables where the precise type may be unknown (for example in a shop bought vegetable pie or a stir fry cooked by a friend) please guess the total amount and record that under Vegetable pieces. Olives should have been recorded earlier under 'Savoury Snacks'. If your vegetable is not on the list, please record it under 'Other' located at the bottom of the list.</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	210947	458451	1	1	1	1
104000	Baked bean intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of baked beans did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	29663	33521	2	1	1	1
104010	Pulses intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of other beans (kidney beans/chick peas/butter beans etc) or lentils did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	35352	41742	3	1	1	1
104020	Fried potatoes intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of potatoes (fried, chips, wedges, roast) did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	67163	82455	4	1	1	1
104030	Boiled/baked potatoes intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of baked or boiled potatoes did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	89535	119079	5	1	1	1
104040	Butter/margarine added to potatoes	0	0	0	21	11	0	0	1	0	0		100103	100013	1	0	4	0	0	Question asked: "Was butter or margarine added to the baked or boiled potato?"<p>This question was only asked to participants who reported consuming baked or boiled potatoes.	2012-09-14T00:00:00	2012-09-22T00:00:00	16697	18359	6	1	1	1
104050	Mashed potato intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of mashed potatoes did you have?"	2012-09-14T00:00:00	2012-09-22T00:00:00	41115	47206	7	1	1	1
104060	Mixed vegetable intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of mixed vegetables (e.g. frozen mixed veg) did you have?"<p>This question was only asked to participants who reported consuming vegetables.<p>If the participant activated the Help feature they were shown the message:<p><i>Vegetables recorded as 'Mixed vegetables', 'Vegetable pieces', 'Coleslaw' or 'Mixed side salad' should not be recorded individually further down the list.</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	34391	39806	8	1	1	1
104070	Vegetable pieces intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of vegetable pieces (too small to be counted as individual veg) did you have?"<p>This question was only asked to participants who reported consuming vegetables.<p>If the participant activated the Help feature they were shown the message:<p><i>Vegetables recorded as 'Mixed vegetables', 'Vegetable pieces', 'Coleslaw' or 'Mixed side salad' should not be recorded individually further down the list.</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	48118	56671	9	1	1	1
104080	Coleslaw intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of coleslaw or other salad vegetables in mayonnaise (e.g. waldorf salad) did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	23144	26249	10	1	1	1
104090	Side salad intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of mixed side salad did you have?"<p>If the participant activated the Help feature they were shown the message:<p><i>Vegetables recorded as 'Mixed vegetables', 'Vegetable pieces', 'Coleslaw' or 'Mixed side salad' should not be recorded individually further down the list. A side serving of salad (e.g. a few lettuce leaves, a couple of slices of tomato, a slice of red onion and a little cucumber) would count as a serving of mixed side salad. A large salad can contain half or whole servings of individual salad vegetables such as lettuce or tomato.</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	79066	104974	11	1	1	1
104100	Avocado intake	0	0	0	21	11	0	0	1	0	0	Medium avocado	100103	100017	1	0	4	0	0	Question asked: "How many medium avocados did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	13472	15916	12	1	1	1
104110	Broad bean intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of broad beans did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	10003	10654	13	1	1	1
104120	Green bean intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of green/French/runner beans did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	39267	45960	14	1	1	1
104130	Beetroot intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of beetroot did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	25922	30632	15	1	1	1
104140	Broccoli intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of broccoli did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	56709	71324	16	1	1	1
104150	Butternut squash intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of butternut squash did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	8696	9459	17	1	1	1
104160	Cabbage/kale intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of cabbage/greens/kale did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	34102	39542	18	1	1	1
104170	Carrot intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of carrots (fresh, frozen, raw, cooked) did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	93398	128812	19	1	1	1
104180	Cauliflower intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of cauliflower did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	31839	37046	20	1	1	1
104190	Celery intake	0	0	0	21	11	0	0	1	0	0	Stick	100103	100017	1	0	4	0	0	Question asked: "How many sticks of celery did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	28576	35010	21	1	1	1
104200	Courgette intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of courgette did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	22725	26010	22	1	1	1
104210	Cucumber intake	0	0	0	21	11	0	0	1	0	0	1inch / 25mm	100103	100017	1	0	4	0	0	Question asked: "How many 1 inch/2.5cm servings of cucumber did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	49868	63096	23	1	1	1
104220	Garlic intake	0	0	0	21	11	0	0	1	0	0	Clove	100103	100017	1	0	4	0	0	Question asked: "How many cloves of garlic did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	39500	50608	24	1	1	1
104230	Leek intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of leeks did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	19299	21424	25	1	1	1
104240	Lettuce intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of lettuce did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	71338	92815	26	1	1	1
104250	Mushroom intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of mushrooms did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	51531	63529	27	1	1	1
104260	Onion intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of onions (red, white, pickled, shallots, spring) did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	84429	115099	28	1	1	1
104270	Parsnip intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of parsnip did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	16060	17445	29	1	1	1
104280	Pea intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of peas (frozen, fresh, tinned) did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	51142	61171	30	1	1	1
104290	Sweet pepper intake	0	0	0	21	11	0	0	1	0	0	Whole pepper	100103	100017	1	0	4	0	0	Question asked: "How many whole peppers (sweet) did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	58193	74047	31	1	1	1
104300	Spinach intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of spinach did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	20042	23004	32	1	1	1
104310	Sprouts intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of sprouts did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	11558	12303	33	1	1	1
104320	Sweetcorn intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of sweetcorn (tinned or frozen, or corn on the cob) did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	19464	21548	34	1	1	1
104330	Sweet potato intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of sweet potatoes did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	8637	9384	35	1	1	1
104340	Fresh tomato intake	0	0	0	21	11	0	0	1	0	0	Medium tomato	100103	100017	1	0	4	0	0	Question asked: "How many medium fresh tomatoes did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	100824	146110	36	1	1	1
104350	Tinned tomato intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of cooked or tinned tomatoes did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	38200	44169	37	1	1	1
104360	Turnip/swede intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of turnip or swede did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	11316	12235	38	1	1	1
104370	Watercress intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of watercress did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	14711	17235	39	1	1	1
104380	Other vegetables intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100017	1	0	4	0	0	Question asked: "How many servings of other vegetables (e.g. celeriac, asparagus, fennel, aubergine, pumpkin) did you have?"<p>This question was only asked to participants who reported consuming vegetables.	2012-09-14T00:00:00	2012-09-22T00:00:00	22791	26091	40	1	1	1
104400	Fruit consumers	0	0	0	21	11	0	0	1	0	0		100103	100010	1	0	4	0	0	Question asked: "Did you eat any fruit yesterday?"<p>If the participant activated the Help feature they were shown the message:<p><i>Include fresh, frozen, dried, canned or cooked. Help section: Please include all fruit, whether eaten by itself or as part of a sweet or savoury dish (e.g. fruit pie or crumble; pork cooked with apple). Fruits recorded under cooked & dried should not be recorded individually further down the list. Small amounts of fruit that are not big enough to be counted individually, or where the precise type may be unknown (e.g. in a mixed fruit salad), please guess the total amount and record that under Mixed fruit. As canned fruit usually comes in segments or slices, please give your answer in servings rather than as whole fruit. Fruit used in a smoothie should not be recorded here. The fruit smoothie should have been recorded in the drinks section. Chocolate covered fruit (e.g. chocolate raisins) and yogurt covered fruit (e.g. yogurt coated pineapple) should not be recorded here. Instead record it under sweet snacks (several pages earlier). Dried fruit that is included with cereals such as Sultana Bran and Optivita should not be record here because it should have been recorded on the cereals page. If your fruit is not on the list, please record it under Other located at the bottom of the list.</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	210947	458451	42	1	1	1
104410	Stewed fruit intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100004	1	0	4	0	0	Question asked: "How many servings of stewed/cooked fruit e.g. apple, rhubarb, plums did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14T00:00:00	2012-09-22T00:00:00	24137	29340	43	1	1	1
104420	Prune intake	0	0	0	21	11	0	0	1	0	0	Handful	100103	100004	1	0	4	0	0	Question asked: "How many handfuls of prunes did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14T00:00:00	2012-09-22T00:00:00	13293	18602	44	1	1	1
104430	Dried fruit intake	0	0	0	21	11	0	0	1	0	0	Handful	100103	100004	1	0	4	0	0	Question asked: "How many handfuls of other dried fruit e.g. raisins, apple rings, cranberries (not with breakfast cereal) did you have?"<p>This question was only asked to participants who reported consuming fruit.<p>If the participant activated the Help feature they were shown the message:<p><i>Fruit recorded here do not need to be recorded individually. Dates should be recorded under dried fruit. This question was only asked to participants who reported consuming fruit.</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	36078	47771	45	1	1	1
104440	Mixed fruit intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100004	1	0	4	0	0	Question asked: "How many servings of mixed fruit (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.<p>If the participant activated the Help feature they were shown the message:<p><i>Fruit recorded here do not need to be recorded individually. As canned fruit usually comes in segments or slices, please give your answer in servings rather than as whole fruit.</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	20079	23434	46	1	1	1
104450	Apple intake	0	0	0	21	11	0	0	1	0	0	Whole fruit	100103	100004	1	0	4	0	0	Question asked: "How many apples (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14T00:00:00	2012-09-22T00:00:00	98693	157344	47	1	1	1
104460	Banana intake	0	0	0	21	11	0	0	1	0	0	Whole fruit	100103	100004	1	0	4	0	0	Question asked: "How many bananas did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14T00:00:00	2012-09-22T00:00:00	118286	197579	48	1	1	1
104470	Berry intake	0	0	0	21	11	0	0	1	0	0	Handful	100103	100004	1	0	4	0	0	Question asked: "How many handfuls of berries e.g. raspberries, strawberries, blueberries, blackcurrants (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14T00:00:00	2012-09-22T00:00:00	58706	79555	49	1	1	1
104480	Cherry intake	0	0	0	21	11	0	0	1	0	0	Handful	100103	100004	1	0	4	0	0	Question asked: "How many handfuls of cherries (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14T00:00:00	2012-09-22T00:00:00	11334	11948	50	1	1	1
104490	Grapefruit intake	0	0	0	21	11	0	0	1	0	0	Serving/whole fruit	100103	100004	1	0	4	0	0	Question asked: "How many whole/servings of grapefruit (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14T00:00:00	2012-09-22T00:00:00	10468	14410	51	1	1	1
104500	Grape intake	0	0	0	21	11	0	0	1	0	0	Handful	100103	100004	1	0	4	0	0	Question asked: "How many handfuls of grapes did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14T00:00:00	2012-09-22T00:00:00	57289	79279	52	1	1	1
104510	Mango intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100004	1	0	4	0	0	Question asked: "How many servings of mango (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14T00:00:00	2012-09-22T00:00:00	9198	10432	53	1	1	1
104520	Melon intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100004	1	0	4	0	0	Question asked: "How many servings of melon did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14T00:00:00	2012-09-22T00:00:00	17142	19818	54	1	1	1
104530	Orange intake	0	0	0	21	11	0	0	1	0	0	Whole fruit	100103	100004	1	0	4	0	0	Question asked: "How many oranges (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14T00:00:00	2012-09-22T00:00:00	38780	52559	55	1	1	1
104540	Satsuma intake	0	0	0	21	11	0	0	1	0	0	Serving/whole fruit	100103	100004	1	0	4	0	0	Question asked: "How many whole/servings of orange-like small fruits e.g. satsuma, clementine, mandarin (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14T00:00:00	2012-09-22T00:00:00	49804	67183	56	1	1	1
104550	Peach/nectarine intake	0	0	0	21	11	0	0	1	0	0	Serving/whole fruit	100103	100004	1	0	4	0	0	Question asked: "How many whole/servings of peach/nectarine (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14T00:00:00	2012-09-22T00:00:00	23558	25864	57	1	1	1
104560	Pear intake	0	0	0	21	11	0	0	1	0	0	Serving/whole fruit	100103	100004	1	0	4	0	0	Question asked: "How many whole/servings of pear (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14T00:00:00	2012-09-22T00:00:00	38393	50408	58	1	1	1
104570	Pineapple intake	0	0	0	21	11	0	0	1	0	0	Serving	100103	100004	1	0	4	0	0	Question asked: "How many servings of pineapple (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14T00:00:00	2012-09-22T00:00:00	16774	19413	59	1	1	1
104580	Plum intake	0	0	0	21	11	0	0	1	0	0	Whole fruit	100103	100004	1	0	4	0	0	Question asked: "How many plums (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14T00:00:00	2012-09-22T00:00:00	20388	23481	60	1	1	1
104590	Other fruit intake	0	0	0	21	11	0	0	1	0	0	Serving/whole fruit	100103	100004	1	0	4	0	0	Question asked: "How many whole/servings of other fruit e.g. pomegranate, kiwi, papaya (fresh, frozen, canned) did you have?"<p>This question was only asked to participants who reported consuming fruit.	2012-09-14T00:00:00	2012-09-22T00:00:00	18362	21898	61	1	1	1
104660	Added salt to food	0	0	0	21	11	0	0	1	0	0		100110	100010	1	0	4	0	0	Question asked: "Did you add salt to your food? (Do not include salt used in cooking.)"	2012-09-14T00:00:00	2012-09-22T00:00:00	63863	98480	4	1	1	1
104670	Vitamin supplement user	0	0	0	21	11	0	0	1	0	0		100112	100010	1	0	4	0	0	Question asked: "Did you have any vitamin or mineral supplements yesterday? e.g. Vitamin C, multivitamins, fish oil, calcium supplement."<p>If the participant activated the Help feature they were shown the message:<p><i>Select which category best describes your type of vitamin and/or mineral supplement, otherwise select the Other category.</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	210947	458451	1	1	1	1
104900	Time spent doing vigorous physical activity	0	0	0	21	11	0	0	1	0	0		100108	100011	1	0	4	0	0	Question asked: "Yesterday, about how long did you spend doing activities that needed vigorous effort, making you breathe hard? For example running, cycling uphill, carrying heavy furniture upstairs, martial arts, competitive sports or intensive exercise."<p>If the participant activated the Help feature they were shown the message:<p><i>Please guess how long you spent in total doing activities requiring vigorous effort yesterday. These types of strenuous activities require a good level of fitness and strength. At work: physically demanding such as carrying heavy objects (e.g. bricks) or carrying moderately heavy objects uphill, up stairs or up ladders, heavy shovelling etc. Running: not slow - 5mph (1 mile in 12 minutes) or faster. Cycling: vigorous effort, reasonably fast or uphill, mountain biking. Sports/exercise: vigorous effort including step aerobics, intensive circuit training, boxing/martial arts, competitively played team games such as football, rock climbing, energetic swimming, energetic skiing (racing, cross-country) etc.</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	210947	458451	1	1	1	1
104910	Time spent doing moderate physical activity	0	0	0	21	11	0	0	1	0	0		100108	100011	1	0	4	0	0	Question asked: "Yesterday, about how long did you spend doing activities that needed moderate effort, making you somewhat short of breath? For example walking upstairs, going to the gym, jogging, energetic dancing, aerobics, most sports, using heavy power tools and other physically demanding DIY & gardening."<p>If the participant activated the Help feature they were shown the message:<p><i>Please guess how long you spent in total doing medium effort activities yesterday. How tired you feel from these types of activities will depend on your individual level of fitness (so a fitter person will not need to breathe as hard as a less fit person). At work: carrying moderately heavy objects, pushing a wheelchair, using heavy power tools, active farm work, taking care of farm animals, coal mining, teaching sports etc. Walking: very brisk walking or walking uphill, walking upstairs, backpacking, marching, power walking, using crutches etc. Jogging: this is defined as running at a gentle pace. Dancing: fast or energetic dancing (not slow ballroom dancing). Cycling: for travelling to work or leisure (not racing or uphill) cycling, also includes unicycling. Sports/exercise: push-ups, weight-lifting, working out in a gym, aerobics, team sports (not competitively played) such as football, golf, horse riding, tennis, track & field, gentle swimming, skiing, ice-skating etc. Gardening: includes energetic tasks such as digging, light to moderate shovelling, mowing the lawn, using heavy power tools, chopping wood etc. DIY/home improvement: includes such fairly demanding tasks such as building a fence, sawing hardwood, cleaning gutters, using heavy power tools, sanding floors etc.</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	210947	458451	2	1	1	1
104920	Time spent doing light physical activity	0	0	0	21	11	0	0	1	0	0		100108	100012	1	0	4	0	0	Question asked: "Yesterday, about how long did you spend doing activities that needed some light effort, involving movement but not making you short of breath? For example shopping, cooking, housework, playing darts/pool/bowls, walking, light exercise like stretching, gentle dancing, caring for people/animals, decorating, light gardening, playing musical instruments."<p>If the participant activated the Help feature they were shown the message:<p><i>Please guess how long you spent in total doing activities requiring relatively little physical effort yesterday. These types of activities should not get you out of breath (or only a little out of breath) but can make you tired if carried out for a long time. Walking: should not get you out of breath, includes walking whilst carrying a child or pushing a buggy, walking about the home, walking about the office, walking for pleasure etc. At work: light carpentry, making beds, cleaning, electrical work, plumbing, painting/decorating, light farming tasks such as harvesting, rounding up cattle/animals, locksmith, machine/equipment operator, assembling/repairing, directing traffic, teaching yoga, bartending, nursing, tailoring, theatre work (acting, working backstage) etc. Housework: includes both light and heavy housework such as cleaning, scrubbing, washing, hanging the washing to dry, vacuuming, ironing, cooking, feeding pets, putting away the shopping, making beds etc. Shopping: food and non-food shopping. Playing musical instruments: playing instruments whilst seated or standing (i.e. not in a marching band). Also includes conducting. Caring: children, sick, elderly, animals. Gardening: watering the plants/lawn, weeding, using a ride-on lawn mower, picking fruit/flowers etc. DIY/home improvement: general carpentry, decorating (painting, putting up wallpaper, plastering, scraping), car repairs, wiring, plumbing etc. Games: darts, snooker/pool, bowling, bowls, croquet, frisbee (gentle/moderate), playing catch, mini golf etc. Dancing: slow dancing that does not get you out of breath. Sports/exercise: activities that should not get you out of breath such as stretching, hatha yoga, horse riding (at walking pace), sailing (not competitive), using power boats etc.</i>	2012-09-14T00:00:00	2012-09-22T00:00:00	210947	458451	3	1	1	1
105010	When diet questionnaire completed	0	0	0	61	0	0	0	1	0	0		100114	0	1	0	4	0	0	This field holds the time at which participants completed the questionnaire by pressing the Confirm button.	2012-09-14T00:00:00	2012-09-19T00:00:00	210950	458454	8	1	1	1
105030	When diet questionnaire started	0	0	0	61	0	0	0	1	0	0		100114	0	1	0	4	0	0	This field holds the time at which participants started the questionnaire as indicated by beginning the first page.	2012-09-14T00:00:00	2012-09-19T00:00:00	210950	458454	10	1	1	1
110001	Invitation to complete online 24-hour recall dietary questionnaire, acceptance	0	0	0	21	11	0	0	1	0	0		100090	100693	1	1	4	0	0	Response to emailed invitation to complete online 24-hour recall dietary questionnaire. There is no data for instance=0 since this was completed as part of the initial assessment centre.	2014-07-02T00:00:00	2014-07-02T00:00:00	330843	1264809	0	1	1	1
110002	Invitation to complete online 24-hour recall dietary questionnaire, date sent	0	0	0	51	0	0	0	1	0	0		100090	0	1	1	4	0	0	Dates that invitations to complete online 24-hour recall dietary questionnaire were emailed to participants. Following an initial ramp-up phase approximately 6000 invitations were emailed each day. The response rate was typically 30-35%. <p> During initial part of the first run of the questionnaire, information was not recorded on participants who did not respond, so the response rate will appear to be 100% for that early period.	2014-07-02T00:00:00	2014-07-02T00:00:00	330843	1264809	0	1	1	1
110003	Invitation to assessment centre, acceptance	0	3	0	21	11	0	0	1	0	0		100021	100693	2	0	0	0	0	Response to invitation to assessment centre	2014-09-08T00:00:00	2000-01-01T00:00:00	-1	-1	0	1	1	1
110005	Invitation to physical activity study, acceptance	0	3	0	21	11	0	0	0	0	0		1008	100693	0	0	0	0	0	Response to invitation to physical activity study using accelerometer.	2014-07-03T00:00:00	2016-01-09T00:00:00	236392	236392	120	1	1	1
110006	Invitation to physical activity study, date sent	0	3	0	51	0	0	0	0	0	0		1008	0	0	0	0	0	0	Date of invitation to physical activity study. The rate of sending email invitations was varied dynamically to achieve a target throughput of 200 devices per day.	2014-07-03T00:00:00	2015-12-05T00:00:00	233370	233370	130	1	1	1
110007	Newsletter communications, date sent	0	3	0	51	0	0	0	0	0	0		2	0	0	0	0	0	0	Newsletters are sent to participants at periodic intervals. This field records the date of dispatch of such communications - note that dispatch does not imply either successful receipt or that a recipient actually read the material sent.	2014-07-17T00:00:00	2000-01-01T00:00:00	-1	-1	130	1	1	1
110008	Invitation to assessment centre, date sent	0	0	0	51	0	0	0	1	0	0		100021	0	2	1	2	0	0	Date of invitation to repeat assessment centre	2014-09-08T00:00:00	2014-09-08T00:00:00	103480	107325	0	1	1	1
120000	Ever had osteoarthritis affecting one or more joints (e.g. hip, knee, shoulder)	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Have you ever been told by a doctor that you have had osteoarthritis affecting one or more joints (e.g. hip, knee, shoulder)?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	1	1	1	1
120001	Ever had rheumatoid arthritis affecting one or more joints	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Have you ever been told by a doctor that you have had rheumatoid arthritis  affecting one or more joints?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	2	1	1	1
120002	Ever had cancer pain	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Have you ever been told by a doctor that you have had cancer pain?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	3	1	1	1
120003	Ever had carpal tunnel syndrome	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Have you ever been told by a doctor that you have had carpal tunnel syndrome?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	4	1	1	1
120004	Ever had complex regional pain syndrome (also known as CRPS)	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Have you ever been told by a doctor that you have had complex regional pain syndrome (also known as CRPS)? <p> Prior to 2021 the question was incorrectly being asked as:<br> "Have you ever been told by a doctor that you have had <i>chronic</i> regional pain syndrome (also known as CRPS)?"<br>(italicised word used above only to emphasize the change). <p>See ~F120128~ to determine date of questionaire completion.	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	5	1	1	1
120005	Ever had chronic post-surgical pain	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Have you ever been told by a doctor that you have had chronic post-surgical pain?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	6	1	1	1
120006	Year surgery was performed leading to chronic post-surgical pain	0	2	0	11	0	0	0	0	0	0	years	154	3017	0	0	0	0	0	Question asked: When was this surgery performed? <p> <p>Only asked if ~F120005~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	6618	6618	7	1	1	1
120007	Ever had diabetes (Type I or Type II)	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Have you ever been told by a doctor that you have had diabetes (Type I or Type II)?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	8	1	1	1
120008	Ever had any cause of nerve damage/neuropathy other than diabetic neuropathy	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Have you ever been told by a doctor that you have had any cause of nerve damage/neuropathy other than diabetic neuropathy?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	9	1	1	1
120009	Ever had fibromyalgia syndrome	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Have you ever been told by a doctor that you have had fibromyalgia syndrome?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	10	1	1	1
120010	Ever had chronic Fatigue Syndrome or Myalgic Encephalomyelitis (M.E.)	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Have you ever been told by a doctor that you have had Chronic Fatigue Syndrome or Myalgic Encephalomyelitis (M.E.)?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	11	1	1	1
120011	Ever had gout	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Have you ever been told by a doctor that you have had gout?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	12	1	1	1
120012	Currently experiencing a gout flare	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Do you think you are currently experiencing a gout flare? <p> <p>Only asked if ~F120011~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	11497	11497	13	1	1	1
120013	Gout causing a swollen joint now	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Is your gout causing you to have a swollen joint now? <p> <p>Only asked if ~F120011~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	11497	11497	14	1	1	1
120014	Gout causing a warm joint now	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Is your gout causing you to have a warm joint now? <p> <p>Only asked if ~F120011~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	11497	11497	15	1	1	1
120015	Average pain from gout in the past 24 hours while resting	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: What was the average pain from your gout in the past 24 hours while you were resting? Please indicate a number from 0 to 10, with 0 meaning "no pain" and 10 meaning "worst possible pain". <p> <p>Only asked if ~F120011~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	11497	11497	16	1	1	1
120016	Ever had migraine	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Have you ever been told by a doctor that you have had migraine?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	17	1	1	1
120017	Ever had pelvic pain	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Have you ever been told by a doctor that you have had pelvic pain?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	18	1	1	1
120018	Ever had post herpetic neuralgia (pain after shingles)	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Have you ever been told by a doctor that you have had post herpetic neuralgia (pain after shingles)?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	19	1	1	1
120019	Troubled by pain or discomfort present for more than 3 months	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Are you troubled by pain or discomfort, either all the time or on and off, that has been present for more than 3 months?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	20	1	1	1
120020	Length of time of pain or discomfort	0	2	0	21	11	0	0	0	0	0		154	3013	0	0	0	0	0	Question asked: How long have you been suffering with this pain or discomfort? <p> <p>Only asked if ~F120019~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	94049	94049	21	1	1	1
120021	Pain or discomfort all over the body in the last 3 months	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: In the last 3 months have you experienced pain or discomfort all over the body? <p> <p>Only asked if ~F120019~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	94049	94049	22	1	1	1
120022	All over body pain in last three months and rating of pain	0	2	0	11	0	0	0	0	0	0		154	3014	0	0	0	0	0	Question asked: In the last 3 months have you experienced pain or discomfort all over the body? Thinking about the last 24 hours, how would you rate your pain on a 0-10 scale, where 0 is 'no pain' and 10 is 'pain as bad as it could be'? <p> <p>Only asked if ~F120021~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	94049	94049	23	1	1	1
120023	Head pain in last three months and rating of pain	0	2	0	11	0	0	0	0	0	0		154	3014	0	0	0	0	0	Question asked: In the last 3 months have you experienced pain or discomfort in your head? Thinking about the last 24 hours, how would you rate your head pain on a 0-10 scale, where 0 is 'no pain' and 10 is 'pain as bad as it could be'? <p><p>Only asked if ~F120021~ was an answer other than Yes	2020-12-08T00:00:00	2020-12-09T00:00:00	84171	84171	24	1	1	1
120024	Face pain in last three months and rating of pain	0	2	0	11	0	0	0	0	0	0		154	3014	0	0	0	0	0	Question asked: In the last 3 months have you experienced pain or discomfort in your face? Thinking about the last 24 hours, how would you rate your facial pain on a 0-10 scale, where 0 is 'no pain' and 10 is 'pain as bad as it could be'? <p><p>Only asked if ~F120021~ was an answer other than Yes	2020-12-08T00:00:00	2020-12-09T00:00:00	84171	84171	25	1	1	1
120025	Neck or shoulder pain in last three months and rating of pain	0	2	0	11	0	0	0	0	0	0		154	3014	0	0	0	0	0	Question asked: In the last 3 months have you experienced pain or discomfort in your neck or shoulders? Thinking about the last 24 hours, how would you rate your neck and shoulder pain on a 0-10 scale, where 0 is 'no pain' and 10 is 'pain as bad as it could be'? <p><p>Only asked if ~F120021~ was an answer other than Yes	2020-12-08T00:00:00	2020-12-09T00:00:00	84171	84171	26	1	1	1
120026	Back pain in last three months and rating of pain	0	2	0	11	0	0	0	0	0	0		154	3014	0	0	0	0	0	Question asked: In the last 3 months have you experienced pain or discomfort in your back? Thinking about the last 24 hours, how would you rate your back pain on a 0-10 scale, where 0 is 'no pain' and 10 is 'pain as bad as it could be'? <p><p>Only asked if ~F120021~ was an answer other than Yes	2020-12-08T00:00:00	2020-12-09T00:00:00	84171	84171	27	1	1	1
120027	Stomach or abdomen pain in last three months and rating of pain	0	2	0	11	0	0	0	0	0	0		154	3014	0	0	0	0	0	Question asked: In the last 3 months have you experienced pain or discomfort in your stomach or abdomen? Thinking about the last 24 hours, how would you rate your stomach or abdomen pain on a 0-10 scale, where 0 is 'no pain' and 10 is 'pain as bad as it could be'? <p><p>Only asked if ~F120021~ was an answer other than Yes	2020-12-08T00:00:00	2020-12-09T00:00:00	84171	84171	28	1	1	1
120028	Hip pain in last three months and rating of pain	0	2	0	11	0	0	0	0	0	0		154	3014	0	0	0	0	0	Question asked: In the last 3 months have you experienced pain or discomfort in your hips? Thinking about the last 24 hours, how would you rate your hip pain on a 0-10 scale, where 0 is 'no pain' and 10 is 'pain as bad as it could be'? <p><p>Only asked if ~F120021~ was an answer other than Yes	2020-12-08T00:00:00	2020-12-09T00:00:00	84171	84171	29	1	1	1
120029	Knee pain in last three months and rating of pain	0	2	0	11	0	0	0	0	0	0		154	3014	0	0	0	0	0	Question asked: In the last 3 months have you experienced pain or discomfort in your knees? Thinking about the last 24 hours, how would you rate your knee pain on a 0-10 scale, where 0 is 'no pain' and 10 is 'pain as bad as it could be'? <p><p>Only asked if ~F120021~ was an answer other than Yes	2020-12-08T00:00:00	2020-12-09T00:00:00	84170	84170	30	1	1	1
120030	Arm pain in last three months and rating of pain	0	2	0	11	0	0	0	0	0	0		154	3014	0	0	0	0	0	Question asked: In the last 3 months have you experienced pain or discomfort in your arms? Thinking about the last 24 hours, how would you rate your arm pain on a 0-10 scale, where 0 is 'no pain' and 10 is 'pain as bad as it could be'? <p><p>Only asked if ~F120021~ was an answer other than Yes	2020-12-08T00:00:00	2020-12-09T00:00:00	84171	84171	31	1	1	1
120031	Hand pain in last three months and rating of pain	0	2	0	11	0	0	0	0	0	0		154	3014	0	0	0	0	0	Question asked: In the last 3 months have you experienced pain or discomfort in your hands? Thinking about the last 24 hours, how would you rate your hand pain on a 0-10 scale, where 0 is 'no pain' and 10 is 'pain as bad as it could be'? <p><p>Only asked if ~F120021~ was an answer other than Yes	2020-12-08T00:00:00	2020-12-09T00:00:00	84171	84171	32	1	1	1
120032	Pain or discomfort in both feet in last three months	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Is the pain present in both your feet? <p> <p>Only asked if ~F120033~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	29903	29903	33	1	1	1
120033	Feet pain in last three months and rating of pain	0	2	0	11	0	0	0	0	0	0		154	3014	0	0	0	0	0	Question asked: In the last 3 months have you experienced pain or discomfort in your feet? Thinking about the last 24 hours, how would you rate your foot pain on a 0-10 scale, where 0 is 'no pain' and 10 is 'pain as bad as it could be'? <p><p>Only asked if ~F120021~ was an answer other than Yes	2020-12-08T00:00:00	2020-12-09T00:00:00	84171	84171	34	1	1	1
120034	Leg pain in last three months and rating of pain	0	2	0	11	0	0	0	0	0	0		154	3014	0	0	0	0	0	Question asked: In the last 3 months have you experienced pain or discomfort in your legs? Thinking about the last 24 hours, how would you rate your leg pain on a 0-10 scale, where 0 is 'no pain' and 10 is 'pain as bad as it could be? <p><p>Only asked if ~F120021~ was an answer other than Yes	2020-12-08T00:00:00	2020-12-09T00:00:00	84171	84171	35	1	1	1
120035	Chest pain in last three months and rating of pain	0	2	0	11	0	0	0	0	0	0		154	3014	0	0	0	0	0	Question asked: In the last 3 months have you experienced pain or discomfort in your chest? Thinking about the last 24 hours, how would you rate your chest pain on a 0-10 scale, where 0 is 'no pain' and 10 is 'pain as bad as it could be? <p><p>Only asked if ~F120021~ was an answer other than Yes	2020-12-08T00:00:00	2020-12-09T00:00:00	84171	84171	36	1	1	1
120036	Pain or discomfort in another part of the body in the last 3 months	0	2	0	21	11	0	0	0	0	0		154	1021	0	0	0	0	0	Question asked: In the last 3 months have you experienced pain or discomfort in (an)other part(s) of your body? <p><p>Only asked if ~F120021~ was an answer other than Yes	2020-12-08T00:00:00	2020-12-09T00:00:00	84171	84171	37	1	1	1
120037	Area most bothered by pain in the last three months	0	2	0	21	11	0	0	0	0	0		154	3008	0	0	0	0	0	Question asked: Which one of the pains you have experienced in the last 3 months has bothered you most? <p><p>Only asked if one or more of ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ was answered yes.	2020-12-08T00:00:00	2020-12-09T00:00:00	69917	69917	38	1	1	1
120038	Pain or tenderness during the past week	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Have you been troubled by pain or tenderness during the past week?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	39	1	1	1
120039	Location of pain during the past week	0	2	0	22	11	0	0	0	1	0		154	3022	0	0	0	0	18	Question asked: Please indicate if you have had pain or tenderness during the past week in each of the areas listed here. <p> <p>Only asked if ~F120038~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	103579	265213	40	1	1	1
120040	Fatigue severity over the past week	0	2	0	21	11	0	0	0	0	0		154	3003	0	0	0	0	0	Question asked: Indicate the level of severity over the past week of fatigue	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	41	1	1	1
120041	Waking unrefreshed severity over the past week	0	2	0	21	11	0	0	0	0	0		154	3003	0	0	0	0	0	Question asked: Indicate the level of severity over the past week of waking unrefreshed	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	42	1	1	1
120042	Cognitive symptoms severity over the past week	0	2	0	21	11	0	0	0	0	0		154	3003	0	0	0	0	0	Question asked: Indicate the level of severity over the past week of cognitive symptoms. For example, problems with memory, thinking skills and/or concentration.	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	43	1	1	1
120043	Pain or cramps in lower abdomen in past six months	0	2	0	21	11	0	0	0	0	0		154	1021	0	0	0	0	0	Question asked: During the past 6 months have you had pain or cramps in lower abdomen?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	44	1	1	1
120044	Depression in past six months	0	2	0	21	11	0	0	0	0	0		154	1021	0	0	0	0	0	Question asked: During the past 6 months have you had depression?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	45	1	1	1
120045	Headache in past six months	0	2	0	21	11	0	0	0	0	0		154	1021	0	0	0	0	0	Question asked: During the past 6 months have you had headaches?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	46	1	1	1
120046	Burning pain present in pain that bothers the most	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Thinking about the pain that bothers you most, does the pain have the characteristics of burning? <p><p>Only asked if one or more of ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ was answered yes. <p><p>Refers to single pain from ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ or the area that bothers most (~F120037~)	2020-12-08T00:00:00	2020-12-09T00:00:00	84043	84043	47	1	1	1
120047	Painful cold present in pain that bothers the most	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Thinking about the pain that bothers you most, does the pain have the characteristics of painful cold? <p><p>Only asked if one or more of ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ was answered yes. <p><p>Refers to single pain from ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ or the area that bothers most (~F120037~)	2020-12-08T00:00:00	2020-12-09T00:00:00	84043	84043	48	1	1	1
120048	Electric shocks present in pain that bothers the most	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Thinking about the pain that bothers you most, does the pain have the characteristics of electric shocks? <p><p>Only asked if one or more of ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ was answered yes. <p><p>Refers to single pain from ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ or the area that bothers most (~F120037~)	2020-12-08T00:00:00	2020-12-09T00:00:00	84043	84043	49	1	1	1
120049	Tingling present in pain that bothers the most	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Thinking about the pain that bothers you most, is the pain associated with tingling? <p><p>Only asked if one or more of ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ was answered yes. <p><p>Refers to single pain from ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ or the area that bothers most (~F120037~)	2020-12-08T00:00:00	2020-12-09T00:00:00	84043	84043	50	1	1	1
120050	Pins and needles present in pain that bothers the most	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Thinking about the pain that bothers you most, is the pain associated with pins and needles? <p><p>Only asked if one or more of ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ was answered yes. <p><p>Refers to single pain from ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ or the area that bothers most (~F120037~)	2020-12-08T00:00:00	2020-12-09T00:00:00	84043	84043	51	1	1	1
120051	Numbness present in pain that bothers the most	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Thinking about the pain that bothers you most, is the pain associated with numbness? <p><p>Only asked if one or more of ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ was answered yes. <p><p>Refers to single pain from ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ or the area that bothers most (~F120037~)	2020-12-08T00:00:00	2020-12-09T00:00:00	84043	84043	52	1	1	1
120052	Itching present in pain that bothers the most	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Thinking about the pain that bothers you most, is the pain associated with itching? <p><p>Only asked if one or more of ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ was answered yes. <p><p>Refers to single pain from ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ or the area that bothers most (~F120037~)	2020-12-08T00:00:00	2020-12-09T00:00:00	84043	84043	53	1	1	1
120053	Bad and/or recurring headaches at any time in life	0	2	0	21	11	0	0	0	0	0		154	1021	0	0	0	0	0	Question asked: Have you ever had bad and/or recurring headaches at any time in your life?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	54	1	1	1
120054	Number of days with headache in past three months	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: On how many days in the past 3 months did you have a headache of any severity? If a headache lasted more than 1 day, count each day. <p> <p>Only asked if ~F120053~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	55970	55970	55	1	1	1
120055	When worst headaches began	0	2	0	11	0	0	0	0	0	0		154	3018	0	0	0	0	0	Question asked: Think about the time when those headaches were at their worst. About how long ago, in months, did those headaches begin? <p> <p>Only asked if ~F120053~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	55970	55970	56	1	1	1
120056	When worst headaches ended	0	2	0	11	0	0	0	0	0	0		154	3018	0	0	0	0	0	Question asked: About how long ago, in months, did those headaches end? <p> <p>Only asked if ~F120053~ was answered yes and ~F120054~ was answered zero	2020-12-08T00:00:00	2020-12-09T00:00:00	19754	19754	57	1	1	1
120057	Days per month having headaches when they were at their worst	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: When your headaches were at their worst, about how many days a month did you have a headache? <p> <p>Only asked if ~F120053~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	55970	55970	58	1	1	1
120058	Pain worst on just one side when headaches were at their worst	0	2	0	21	11	0	0	0	0	0		154	3002	0	0	0	0	0	Question asked: When your headaches were at their worst, did you experience the pain as worse on just one side? <p> <p>Only asked if ~F120053~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	55970	55970	59	1	1	1
120059	Pain pounding, pulsating or throbbing when headaches were at their worst	0	2	0	21	11	0	0	0	0	0		154	3002	0	0	0	0	0	Question asked: When your headaches were at their worst, did you experience the pain as pounding, pulsating or throbbing? <p> <p>Only asked if ~F120053~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	55970	55970	60	1	1	1
120060	Pain moderate or severe when headaches were at their worst	0	2	0	21	11	0	0	0	0	0		154	3002	0	0	0	0	0	Question asked: When your headaches were at their worst, did you experience the pain as moderate or severe? <p> <p>Only asked if ~F120053~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	55970	55970	61	1	1	1
120061	Pain made worse by routine activities when headaches were at their worst	0	2	0	21	11	0	0	0	0	0		154	3002	0	0	0	0	0	Question asked: When your headaches were at their worst, did you experience the pain as made worse by routine activities such as walking or climbing stairs? <p> <p>Only asked if ~F120053~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	55970	55970	62	1	1	1
120062	Felt sick or being sick when headaches were at their worst	0	2	0	21	11	0	0	0	0	0		154	3002	0	0	0	0	0	Question asked: When your headaches were at their worst, did you experience you felt, or were sick? <p> <p>Only asked if ~F120053~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	55970	55970	63	1	1	1
120063	Bothered by light when headaches were at their worst	0	2	0	21	11	0	0	0	0	0		154	3002	0	0	0	0	0	Question asked: When your headaches were at their worst, did you experience light bothered you (more than when you did not have headaches)? <p> <p>Only asked if ~F120053~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	55970	55970	64	1	1	1
120064	Bothered by sound when headaches were at their worst	0	2	0	21	11	0	0	0	0	0		154	3002	0	0	0	0	0	Question asked: When your headaches were at their worst, did you experience sound bothered you (more than when you did not have headaches)? <p> <p>Only asked if ~F120053~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	55970	55970	65	1	1	1
120065	Visual changes before or near the onset of headaches	0	2	0	21	11	0	0	0	0	0		154	1021	0	0	0	0	0	Question asked: Do you or did you develop any of the following warning symptoms before or near the onset of your headache? I develop visual changes such as spots, lines and heat waves or greying out of my vision. <p> <p>Only asked if ~F120053~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	55970	55970	66	1	1	1
120066	Visual changes develop slowly before or near the onset of headaches	0	2	0	21	11	0	0	0	0	0		154	1021	0	0	0	0	0	Question asked: Do you or did you develop any of the following warning symptoms before or near the onset of your headache? My visual changes develop slowly over several minutes or more. <p> <p>Only asked if ~F120065~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	21315	21315	67	1	1	1
120067	Tingling or numbness in face, arms or legs before or near the onset of headaches	0	2	0	21	11	0	0	0	0	0		154	1021	0	0	0	0	0	Question asked: Do you or did you develop any of the following warning symptoms before or near the onset of your headache? I develop tingling or numbness in my face, arms or legs. <p> <p>Only asked if ~F120053~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	55970	55970	68	1	1	1
120068	Tingling and/or numbness spreads slowly before or near the onset of headaches	0	2	0	21	11	0	0	0	0	0		154	1021	0	0	0	0	0	Question asked: Do you or did you develop any of the following warning symptoms before or near the onset of your headache? The tingling and/or, numbness spreads slowly over several minutes over some part of my body. <p> <p>Only asked if ~F120067~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	5843	5843	69	1	1	1
120069	Develop tiredness, yawning, concentration problems, changes in mood or appetite, irritability, neck stiffness, light or sound sensitivity before or near the onset of headaches	0	2	0	21	11	0	0	0	0	0		154	1021	0	0	0	0	0	Question asked: Do you or did you develop any of the following warning symptoms before or near the onset of your headache? I develop tiredness, yawning, concentration problems, changes in mood or appetite, irritability, neck stiffness, light or sound sensitivity. <p> <p>Only asked if ~F120053~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	55970	55970	70	1	1	1
120070	Number of days in the last 3 months headaches interfered with ability to work, study or enjoy life	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: On how many days in the last 3 months did your headaches interfere with your ability to work, study or enjoy life? <p> <p>Only asked if ~F120053~ was answered yes and ~F120054~ was greater than zero	2020-12-08T00:00:00	2020-12-09T00:00:00	36216	36216	71	1	1	1
120071	Legs and/or feet are usually numb	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: We would now like to ask about the feeling in your legs and feet. Select yes or no based on how you usually feel. Are your legs and/or feet numb? <p><p>Only asked if one or more of ~F120001~, ~F120007~, ~F120008~ was answered yes.	2020-12-08T00:00:00	2020-12-09T00:00:00	29370	29370	72	1	1	1
120072	Usually have burning pain in legs and/or feet	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: We would now like to ask about the feeling in your legs and feet. Select yes or no based on how you usually feel. Do you ever have any burning pain in your legs and/or feet? <p><p>Only asked if one or more of ~F120001~, ~F120007~, ~F120008~ was answered yes.	2020-12-08T00:00:00	2020-12-09T00:00:00	29370	29370	73	1	1	1
120073	Feet usually too sensitive to touch	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: We would now like to ask about the feeling in your legs and feet. Select yes or no based on how you usually feel. Are your feet too sensitive to touch? <p><p>Only asked if one or more of ~F120001~, ~F120007~, ~F120008~ was answered yes.	2020-12-08T00:00:00	2020-12-09T00:00:00	29370	29370	74	1	1	1
120074	Usually get muscle cramps in legs and/or feet	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: We would now like to ask about the feeling in your legs and feet. Select yes or no based on how you usually feel. Do you get muscle cramps in your legs and/or feet? <p><p>Only asked if one or more of ~F120001~, ~F120007~, ~F120008~ was answered yes.	2020-12-08T00:00:00	2020-12-09T00:00:00	29370	29370	75	1	1	1
120075	Usually have prickling feelings in legs or feet	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: We would now like to ask about the feeling in your legs and feet. Select yes or no based on how you usually feel. Do you ever have any prickling feelings in your legs or feet? <p><p>Only asked if one or more of ~F120001~, ~F120007~, ~F120008~ was answered yes.	2020-12-08T00:00:00	2020-12-09T00:00:00	29370	29370	76	1	1	1
120076	Legs and feet usually hurt when the bed covers touch skin	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: We would now like to ask about the feeling in your legs and feet. Select yes or no based on how you usually feel. Does it hurt when the bed covers touch your skin? <p><p>Only asked if one or more of ~F120001~, ~F120007~, ~F120008~ was answered yes.	2020-12-08T00:00:00	2020-12-09T00:00:00	29370	29370	77	1	1	1
120077	Usually able to tell the hot water from the cold water	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: We would now like to ask about the feeling in your legs and feet. Select yes or no based on how you usually feel. When you get into the bath or shower, are you able to tell the hot water from the cold water? <p><p>Only asked if one or more of ~F120001~, ~F120007~, ~F120008~ was answered yes.	2020-12-08T00:00:00	2020-12-09T00:00:00	29370	29370	78	1	1	1
120078	Ever had an open sore on foot	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: We would now like to ask about the feeling in your legs and feet. Select yes or no based on how you usually feel. Have you ever had an open sore on your foot? <p><p>Only asked if one or more of ~F120001~, ~F120007~, ~F120008~ was answered yes.	2020-12-08T00:00:00	2020-12-09T00:00:00	29370	29370	79	1	1	1
120079	Ever had diabetic neuropathy	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: We would now like to ask about the feeling in your legs and feet. Select yes or no based on how you usually feel. Has the doctor ever told you that you that you have diabetic neuropathy? <p><p>Only asked if one or more of ~F120001~, ~F120007~, ~F120008~ was answered yes.	2020-12-08T00:00:00	2020-12-09T00:00:00	29370	29370	80	1	1	1
120080	Feel weak all over most of the time	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: We would now like to ask about the feeling in your legs and feet. Select yes or no based on how you usually feel. Do you feel weak all over most of the time? <p><p>Only asked if one or more of ~F120001~, ~F120007~, ~F120008~ was answered yes.	2020-12-08T00:00:00	2020-12-09T00:00:00	29370	29370	81	1	1	1
120081	Feeling in feet and legs: symptoms are worse at night	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: We would now like to ask about the feeling in your legs and feet. Select yes or no based on how you usually feel. Are your symptoms worse at night? <p><p>Only asked if one or more of ~F120001~, ~F120007~, ~F120008~ was answered yes.	2020-12-08T00:00:00	2020-12-09T00:00:00	29370	29370	82	1	1	1
120082	Legs usually hurt when walking	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: We would now like to ask about the feeling in your legs and feet. Select yes or no based on how you usually feel. Do your legs hurt when you walk? <p><p>Only asked if one or more of ~F120001~, ~F120007~, ~F120008~ was answered yes.	2020-12-08T00:00:00	2020-12-09T00:00:00	29370	29370	83	1	1	1
120083	Usually able to sense feet when walking	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: We would now like to ask about the feeling in your legs and feet. Select yes or no based on how you usually feel. Are you able to sense your feet when you walk? <p><p>Only asked if one or more of ~F120001~, ~F120007~, ~F120008~ was answered yes.	2020-12-08T00:00:00	2020-12-09T00:00:00	29370	29370	84	1	1	1
120084	Skin on feet usually so dry that it cracks open	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: We would now like to ask about the feeling in your legs and feet. Select yes or no based on how you usually feel. Is the skin on your feet so dry that it cracks open? <p><p>Only asked if one or more of ~F120001~, ~F120007~, ~F120008~ was answered yes.	2020-12-08T00:00:00	2020-12-09T00:00:00	29370	29370	85	1	1	1
120085	Ever had an amputation	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: We would now like to ask about the feeling in your legs and feet. Select yes or no based on how you usually feel. Have you ever had an amputation? <p><p>Only asked if one or more of ~F120001~, ~F120007~, ~F120008~ was answered yes.	2020-12-08T00:00:00	2020-12-09T00:00:00	29370	29370	86	1	1	1
120086	Scale of pain that bothers most at its worst in the last 24 hours	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: Thinking about the pain that bothers you most, please rate your pain by selecting the number that best describes your pain at its worst in the last 24 hours, with 0 meaing no pain and 10 meaning pain as bad as you can imagine. <p><p>Only asked if one or more of ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ was answered yes. <p><p>Refers to single pain from ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ or the area that bothers most (~F120037~)	2020-12-08T00:00:00	2020-12-09T00:00:00	84050	84050	87	1	1	1
120087	Scale of pain that bothers most at its least in the last 24 hours	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: Thinking about the pain that bothers you most, please rate your pain by selecting the number that best describes your pain at its least in the last 24 hours, with 0 meaing no pain and 10 meaning pain as bad as you can imagine. <p><p>Only asked if one or more of ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ was answered yes. <p><p>Refers to single pain from ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ or the area that bothers most (~F120037~)	2020-12-08T00:00:00	2020-12-09T00:00:00	84050	84050	88	1	1	1
120088	Scale of pain that bothers most on average	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: Thinking about the pain that bothers you most, please rate your pain by selecting the number that best describes your pain on the average, with 0 meaing no pain and 10 meaning pain as bad as you can imagine. <p><p>Only asked if one or more of ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ was answered yes. <p><p>Refers to single pain from ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ or the area that bothers most (~F120037~)	2020-12-08T00:00:00	2020-12-09T00:00:00	84050	84050	89	1	1	1
120089	Scale of pain that bothers most right now	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: Thinking about the pain that bothers you most, please rate your pain by selecting the number that tells how much pain you have right now, with 0 meaing no pain and 10 meaning pain as bad as you can imagine. <p><p>Only asked if one or more of ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ was answered yes. <p><p>Refers to single pain from ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ or the area that bothers most (~F120037~)	2020-12-08T00:00:00	2020-12-09T00:00:00	84050	84050	90	1	1	1
120090	Scale of how much relief pain treatments or medications have provided in the last 24 hours	0	2	0	21	11	0	0	0	0	0	percent	154	3015	0	0	0	0	0	Question asked: In the last 24 hours, how much relief have pain treatments or medications provided? Please select the percentage that most shows how much relief you have received. <p>Only asked if one or more of ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ was answered yes. <p>Refers to single pain from ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ or the area that bothers most (~F120037~)	2020-12-08T00:00:00	2020-12-09T00:00:00	84050	84050	91	1	1	1
120091	Scale of how much pain that bothers most has interfered with general activity	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: Please answer this question by thinking about the pain that bothers you most. Select the number that describes how, during the past 24 hours, pain has interfered with your general activity, with 0 meaning does not interfere and 10 meaning completely interferes. Only asked if one or more of ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ was answered yes. Refers to single pain from ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ or the area that bothers most (~F120037~)	2020-12-08T00:00:00	2020-12-09T00:00:00	84026	84026	92	1	1	1
120092	Scale of how much pain that bothers most has interfered with mood	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: Please answer this question by thinking about the pain that bothers you most. Select the number that describes how, during the past 24 hours, pain has interfered with your mood, with 0 meaning does not interfere and 10 meaning completely interferes. <p><p>Only asked if one or more of ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ was answered yes. <p><p>Refers to single pain from ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ or the area that bothers most (~F120037~)	2020-12-08T00:00:00	2020-12-09T00:00:00	84034	84034	93	1	1	1
120093	Scale of how much pain that bothers most has interfered with walking ability	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: Please answer this question by thinking about the pain that bothers you most. Select the number that describes how, during the past 24 hours, pain has interfered with your walking ability, with 0 meaning does not interfere and 10 meaning completely interferes. Only asked if one or more of ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ was answered yes. Refers to single pain from ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ or the area that bothers most (~F120037~)	2020-12-08T00:00:00	2020-12-09T00:00:00	84042	84042	94	1	1	1
120094	Scale of how much pain that bothers most has interfered with normal work	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: Please answer this question by thinking about the pain that bothers you most. Select the number that describes how, during the past 24 hours, pain has interfered with your normal work (includes both work outside the home and housework), with 0 meaning does not interfere and 10 meaning completely interferes. <p> <p>Only asked if one or more of ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ was answered yes. <p><p>Refers to single pain from ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ or the area that bothers most (~F120037~)	2020-12-08T00:00:00	2020-12-09T00:00:00	84048	84048	95	1	1	1
120095	Scale of how much pain that bothers most has interfered with relations with other people	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: Please answer this question by thinking about the pain that bothers you most. Select the number that describes how, during the past 24 hours, pain has interfered with your relations with other people, with 0 meaning does not interfere and 10 meaning completely interferes. <p><p>Only asked if one or more of ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ was answered yes. <p><p>Refers to single pain from ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ or the area that bothers most (~F120037~)	2020-12-08T00:00:00	2020-12-09T00:00:00	84046	84046	96	1	1	1
120096	Scale of how much pain that bothers most has interfered with sleep	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: Please answer this question by thinking about the pain that bothers you most. Select the number that describes how, during the past 24 hours, pain has interfered with your sleep, with 0 meaning does not interfere and 10 meaning completely interferes. <p><p>Only asked if one or more of ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ was answered yes. <p><p>Refers to single pain from ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ or the area that bothers most (~F120037~)	2020-12-08T00:00:00	2020-12-09T00:00:00	84046	84046	97	1	1	1
120097	Scale of how much pain that bothers most has interfered with enjoyment of life	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: Please answer this question by thinking about the pain that bothers you most. Select the number that describes how, during the past 24 hours, pain has interfered with your enjoyment of life, with 0 meaning does not interfere and 10 meaning completely interferes. <p><p>Only asked if one or more of ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ was answered yes. <p><p>Refers to single pain from ~F120023~, ~F120024~, ~F120025~, ~F120026~, ~F120027~, ~F120028~, ~F120029~, ~F120030~, ~F120031~, ~F120033~, ~F120034~, ~F120035~ or the area that bothers most (~F120037~)	2020-12-08T00:00:00	2020-12-09T00:00:00	84046	84046	98	1	1	1
120098	Mobility problems today	0	2	0	21	11	0	0	0	0	0		154	3004	0	0	0	0	0	Question asked: Please click the ONE box that best describes your health TODAY: Mobility	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	99	1	1	1
120099	Self-care problems today	0	2	0	21	11	0	0	0	0	0		154	3019	0	0	0	0	0	Question asked: Please click the ONE box that best describes your health TODAY: Self-care	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	100	1	1	1
120100	Problems doing usual activities	0	2	0	21	11	0	0	0	0	0		154	3020	0	0	0	0	0	Question asked: Please click the ONE box that best describes your health TODAY: Usual activities (e.g. work, study, housework, family or leisure activities)	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	101	1	1	1
120101	Pain/discomfort today	0	2	0	21	11	0	0	0	0	0		154	3021	0	0	0	0	0	Question asked: Please click the ONE box that best describes your health TODAY: Pain/discomfort	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	102	1	1	1
120102	Anxiety/depression today	0	2	0	21	11	0	0	0	0	0		154	3005	0	0	0	0	0	Question asked: Please click the ONE box that best describes your health TODAY: Anxiety/depression	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	103	1	1	1
120103	Scale to indicate how health is today	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: We would like to know how good or bad your health is TODAY. This scale is numbered from 0 to 100. 100 means the best health you can imagine. 0 means the worst health you can imagine. Please click on the scale to indicate how your health is today.	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	104	1	1	1
120104	Little interest or pleasure in doing things over the last two weeks	0	2	0	21	11	0	0	0	0	0		154	3006	0	0	0	0	0	Question asked: Over the last 2 weeks, how often have you been bothered by little interest or pleasure in doing things?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	105	1	1	1
120105	Feeling down, depressed, or hopeless over the last two weeks	0	2	0	21	11	0	0	0	0	0		154	3006	0	0	0	0	0	Question asked: Over the last 2 weeks, how often have you been bothered by feeling down, depressed, or hopeless?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	106	1	1	1
120106	Trouble falling or staying asleep, or sleeping too much over the last two weeks	0	2	0	21	11	0	0	0	0	0		154	3006	0	0	0	0	0	Question asked: Over the last 2 weeks, how often have you been bothered by trouble falling or staying asleep, or sleeping too much?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	107	1	1	1
120107	Feeling tired or having little energy over the last two weeks	0	2	0	21	11	0	0	0	0	0		154	3006	0	0	0	0	0	Question asked: Over the last 2 weeks, how often have you been bothered by feeling tired or having little energy?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	108	1	1	1
120108	Poor appetite or overeating over the last two weeks	0	2	0	21	11	0	0	0	0	0		154	3006	0	0	0	0	0	Question asked: Over the last 2 weeks, how often have you been bothered by poor appetite or overeating?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	109	1	1	1
120109	Feeling bad about self over the last two weeks	0	2	0	21	11	0	0	0	0	0		154	3006	0	0	0	0	0	Question asked: Over the last 2 weeks, how often have you been bothered by feeling bad about yourself - or that you are a failure or have let yourself or your family down?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	110	1	1	1
120110	Trouble concentrating over the last two weeks	0	2	0	21	11	0	0	0	0	0		154	3006	0	0	0	0	0	Question asked: Over the last 2 weeks, how often have you been bothered by trouble concentrating on things, such as reading the newspaper or watching television?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	111	1	1	1
120111	Moving or speaking slower or faster than usual over the last two weeks	0	2	0	21	11	0	0	0	0	0		154	3006	0	0	0	0	0	Question asked: Over the last 2 weeks, how often have you been bothered by moving or speaking so slowly that other people could have noticed?  Or the opposite -- being so fidgety or restless that you have been moving around a lot more than usual?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	112	1	1	1
120112	Thoughts of being better off dead or of hurting self over the last two weeks	0	2	0	21	11	0	0	0	0	0		154	3006	0	0	0	0	0	Question asked: Over the last 2 weeks, how often have you been bothered by thoughts that you would be better off dead or of hurting yourself in some way?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	113	1	1	1
120113	Level of difficultly depression has made to do work, take care of things at home, or get along with other people	0	2	0	21	11	0	0	0	0	0		154	3012	0	0	0	0	0	Question asked: How difficult have these problems made it for you to do your work, take care of things at home, or get along with other people? <p><p>Only asked if any of ~F120104~, ~F120105~, ~F120106~, ~F120107~, ~F120108~, ~F120109~, ~F120110~, ~F120111~, ~F120112~ had a response more than none	2020-12-08T00:00:00	2020-12-09T00:00:00	116033	116033	114	1	1	1
120114	Persistent or recurrent tiredness, weariness or fatigue that has lasted for at least 6 months	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Do you have persistent or recurrent tiredness, weariness or fatigue that has lasted for at least 6 months?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	115	1	1	1
120115	Tiredness, weariness or fatigue goes away when resting	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Does this tiredness, weariness or fatigue go away when you rest? <p> <p>Only asked if ~F120114~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	35624	35624	116	1	1	1
120116	Tiredness, weariness or fatigue happening only because of exercising and/or working too much	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Is this tiredness, weariness or fatigue happening only because you have been exercising and/or working too much? <p> <p>Only asked if ~F120114~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	35624	35624	117	1	1	1
120117	Tired after minimal physical or mental exertion	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Do you get tired after minimal physical or mental exertion? <p> <p>Only asked if ~F120114~ was answered yes	2020-12-08T00:00:00	2020-12-09T00:00:00	35624	35624	118	1	1	1
120118	Suffered from fatigue or exhaustion in the last week	0	2	0	21	11	0	0	0	0	0		154	502	0	0	0	0	0	Question asked: Have you suffered from fatigue or exhaustion in the last week?	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	119	1	1	1
120119	Motivation is lower when fatigued	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: During the past week, I have found that my motivation is lower when I am fatigued. <p> <p>Only asked if ~F120118~ was answered yes or ~F120040~ was answered slight, moderate or severe. <p> <p>A low value (e.g. 1) indicates strong disagreement with the statement, whereas a high value (e.g. 7) indicates strong agreement.	2020-12-08T00:00:00	2020-12-09T00:00:00	96146	96146	120	1	1	1
120120	Exercise brings on fatigue	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: During the past week, I have found that exercise brings on my fatigue. <p> <p>Only asked if ~F120118~ was answered yes or ~F120040~ was answered slight, moderate or severe. <p> <p>A low value (e.g. 1) indicates strong disagreement with the statement, whereas a high value (e.g. 7) indicates strong agreement.	2020-12-08T00:00:00	2020-12-09T00:00:00	96146	96146	121	1	1	1
120121	Easily fatigued	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: During the past week, I have found that I am easily fatigued. <p> <p>Only asked if ~F120118~ was answered yes or ~F120040~ was answered slight, moderate or severe. <p> <p>A low value (e.g. 1) indicates strong disagreement with the statement, whereas a high value (e.g. 7) indicates strong agreement.	2020-12-08T00:00:00	2020-12-09T00:00:00	96146	96146	122	1	1	1
120122	Fatigue interferes with physical functioning	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: During the past week, I have found that fatigue interferes with my physical functioning. <p> <p>Only asked if ~F120118~ was answered yes or ~F120040~ was answered slight, moderate or severe. <p> <p>A low value (e.g. 1) indicates strong disagreement with the statement, whereas a high value (e.g. 7) indicates strong agreement.	2020-12-08T00:00:00	2020-12-09T00:00:00	96146	96146	123	1	1	1
120123	Fatigue causes frequent problems	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: During the past week, I have found that fatigue causes frequent problems for me. <p> <p>Only asked if ~F120118~ was answered yes or ~F120040~ was answered slight, moderate or severe. <p> <p>A low value (e.g. 1) indicates strong disagreement with the statement, whereas a high value (e.g. 7) indicates strong agreement.	2020-12-08T00:00:00	2020-12-09T00:00:00	96146	96146	124	1	1	1
120124	Fatigue prevents sustained physical functioning	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: During the past week, I have found that my fatigue prevents sustained physical functioning. <p> <p>Only asked if ~F120118~ was answered yes or ~F120040~ was answered slight, moderate or severe. <p> <p>A low value (e.g. 1) indicates strong disagreement with the statement, whereas a high value (e.g. 7) indicates strong agreement.	2020-12-08T00:00:00	2020-12-09T00:00:00	96146	96146	125	1	1	1
120125	Fatigue interferes with carrying out certain duties and responsibilities	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: During the past week, I have found that fatigue interferes with carrying out certain duties and responsibilities. <p> <p>Only asked if ~F120118~ was answered yes or ~F120040~ was answered slight, moderate or severe. <p> <p>A low value (e.g. 1) indicates strong disagreement with the statement, whereas a high value (e.g. 7) indicates strong agreement.	2020-12-08T00:00:00	2020-12-09T00:00:00	96146	96146	126	1	1	1
120126	Fatigue is among three most disabling symptoms	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: During the past week, I have found that fatigue is among my three most disabling symptoms. <p> <p>Only asked if ~F120118~ was answered yes or ~F120040~ was answered slight, moderate or severe. <p> <p>A low value (e.g. 1) indicates strong disagreement with the statement, whereas a high value (e.g. 7) indicates strong agreement.	2020-12-08T00:00:00	2020-12-09T00:00:00	96146	96146	127	1	1	1
120127	Fatigue interferes with work, family or social life	0	2	0	11	0	0	0	0	0	0		154	584	0	0	0	0	0	Question asked: During the past week, I have found that fatigue interferes with my work, family or social life.<p><p>Only asked if ~F120118~ was answered yes or ~F120040~ was slight, answered moderate or severe. <p> <p>A low value (e.g. 1) indicates strong disagreement with the statement, whereas a high value (e.g. 7) indicates strong agreement.	2020-12-08T00:00:00	2020-12-09T00:00:00	96146	96146	128	1	1	1
120128	When pain questionnaire completed	0	2	0	61	0	0	2	0	0	0		154	0	0	0	0	0	0	Date and time when online pain questionnaire completed.	2020-12-08T00:00:00	2020-12-09T00:00:00	167185	167185	129	1	1	1
130000	Date A00 first reported (cholera)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A00. The code corresponds to "cholera". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	26	26	1	1	1	1
130001	Source of report of A00 (cholera)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A00, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cholera".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	26	26	1.5	1	1	1
130002	Date A01 first reported (typhoid and paratyphoid fevers)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A01. The code corresponds to "typhoid and paratyphoid fevers". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	169	169	2	1	1	1
130003	Source of report of A01 (typhoid and paratyphoid fevers)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A01, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "typhoid and paratyphoid fevers".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	169	169	2.5	1	1	1
130004	Date A02 first reported (other salmonella infections)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A02. The code corresponds to "other salmonella infections". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	805	805	3	1	1	1
130005	Source of report of A02 (other salmonella infections)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A02, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other salmonella infections".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	805	805	3.5	1	1	1
130006	Date A03 first reported (shigellosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A03. The code corresponds to "shigellosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	212	212	4	1	1	1
130007	Source of report of A03 (shigellosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A03, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "shigellosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	212	212	4.5	1	1	1
130008	Date A04 first reported (other bacterial intestinal infections)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A04. The code corresponds to "other bacterial intestinal infections". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	8778	8778	5	1	1	1
130009	Source of report of A04 (other bacterial intestinal infections)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A04, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other bacterial intestinal infections".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	8778	8778	5.5	1	1	1
130010	Date A05 first reported (other bacterial foodborne intoxications)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A05. The code corresponds to "other bacterial foodborne intoxications". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	407	407	6	1	1	1
130011	Source of report of A05 (other bacterial foodborne intoxications)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A05, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other bacterial foodborne intoxications".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	407	407	6.5	1	1	1
130012	Date A06 first reported (amoebiasis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A06. The code corresponds to "amoebiasis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	119	119	7	1	1	1
130013	Source of report of A06 (amoebiasis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A06, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "amoebiasis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	119	119	7.5	1	1	1
130014	Date A07 first reported (other protozoal intestinal diseases)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A07. The code corresponds to "other protozoal intestinal diseases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	525	525	8	1	1	1
130015	Source of report of A07 (other protozoal intestinal diseases)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A07, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other protozoal intestinal diseases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	525	525	8.5	1	1	1
130016	Date A08 first reported (viral and other specified intestinal infections)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A08. The code corresponds to "viral and other specified intestinal infections". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	5747	5747	9	1	1	1
130017	Source of report of A08 (viral and other specified intestinal infections)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A08, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "viral and other specified intestinal infections".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5747	5747	9.5	1	1	1
130018	Date A09 first reported (diarrhoea and gastro-enteritis of presumed infectious origin)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A09. The code corresponds to "diarrhoea and gastro-enteritis of presumed infectious origin". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	26624	26624	10	1	1	1
130019	Source of report of A09 (diarrhoea and gastro-enteritis of presumed infectious origin)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A09, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "diarrhoea and gastro-enteritis of presumed infectious origin".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	26624	26624	10.5	1	1	1
130020	Date A15 first reported (respiratory tuberculosis, bacteriologically and histologically confirmed)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A15. The code corresponds to "respiratory tuberculosis, bacteriologically and histologically confirmed". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	2740	2740	11	1	1	1
130021	Source of report of A15 (respiratory tuberculosis, bacteriologically and histologically confirmed)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A15, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "respiratory tuberculosis, bacteriologically and histologically confirmed".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	2740	2740	11.5	1	1	1
130022	Date A16 first reported (respiratory tuberculosis, not confirmed bacteriologically or histologically)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A16. The code corresponds to "respiratory tuberculosis, not confirmed bacteriologically or histologically". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	681	681	12	1	1	1
130023	Source of report of A16 (respiratory tuberculosis, not confirmed bacteriologically or histologically)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A16, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "respiratory tuberculosis, not confirmed bacteriologically or histologically".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	681	681	12.5	1	1	1
130024	Date A17 first reported (tuberculosis of nervous system)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A17. The code corresponds to "tuberculosis of nervous system". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	23	23	13	1	1	1
130025	Source of report of A17 (tuberculosis of nervous system)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A17, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "tuberculosis of nervous system".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	23	23	13.5	1	1	1
130026	Date A18 first reported (tuberculosis of other organs)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A18. The code corresponds to "tuberculosis of other organs". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	199	199	14	1	1	1
130027	Source of report of A18 (tuberculosis of other organs)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A18, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "tuberculosis of other organs".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	199	199	14.5	1	1	1
130028	Date A19 first reported (miliary tuberculosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A19. The code corresponds to "miliary tuberculosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	28	28	15	1	1	1
130029	Source of report of A19 (miliary tuberculosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A19, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "miliary tuberculosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	28	28	15.5	1	1	1
130030	Date A20 first reported (plague)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A20. The code corresponds to "plague". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	8	8	16	1	1	1
130031	Source of report of A20 (plague)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A20, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "plague".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	8	8	16.5	1	1	1
130032	Date A21 first reported (tularaemia)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A21. The code corresponds to "tularaemia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	17	1	1	1
130033	Source of report of A21 (tularaemia)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A21, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "tularaemia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	17.5	1	1	1
130034	Date A22 first reported (anthrax)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A22. The code corresponds to "anthrax". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	18	1	1	1
130035	Source of report of A22 (anthrax)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A22, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "anthrax".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	18.5	1	1	1
130036	Date A23 first reported (brucellosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A23. The code corresponds to "brucellosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	33	33	19	1	1	1
130037	Source of report of A23 (brucellosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A23, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "brucellosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	33	33	19.5	1	1	1
130038	Date A24 first reported (glanders and melioidosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A24. The code corresponds to "glanders and melioidosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	20	1	1	1
130039	Source of report of A24 (glanders and melioidosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A24, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "glanders and melioidosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	20.5	1	1	1
130040	Date A25 first reported (rat-bite fevers)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A25. The code corresponds to "rat-bite fevers". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	3	3	21	1	1	1
130041	Source of report of A25 (rat-bite fevers)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A25, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "rat-bite fevers".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	3	3	21.5	1	1	1
130042	Date A26 first reported (erysipeloid)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A26. The code corresponds to "erysipeloid". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	14	14	22	1	1	1
130043	Source of report of A26 (erysipeloid)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A26, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "erysipeloid".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	14	14	22.5	1	1	1
130044	Date A27 first reported (leptospirosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A27. The code corresponds to "leptospirosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	35	35	23	1	1	1
130045	Source of report of A27 (leptospirosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A27, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "leptospirosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	35	35	23.5	1	1	1
130046	Date A28 first reported (other zoonotic bacterial diseases, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A28. The code corresponds to "other zoonotic bacterial diseases, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	69	69	24	1	1	1
130047	Source of report of A28 (other zoonotic bacterial diseases, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A28, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other zoonotic bacterial diseases, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	69	69	24.5	1	1	1
130048	Date A30 first reported (leprosy [hansen's disease])	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A30. The code corresponds to "leprosy [hansen's disease]". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	3	3	25	1	1	1
130049	Source of report of A30 (leprosy [hansen's disease])	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A30, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "leprosy [hansen's disease]".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	3	3	25.5	1	1	1
130050	Date A31 first reported (infection due to other mycobacteria)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A31. The code corresponds to "infection due to other mycobacteria". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	176	176	26	1	1	1
130051	Source of report of A31 (infection due to other mycobacteria)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A31, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "infection due to other mycobacteria".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	176	176	26.5	1	1	1
130052	Date A32 first reported (listeriosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A32. The code corresponds to "listeriosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2022-02-01T00:00:00	27	27	27	1	1	1
130053	Source of report of A32 (listeriosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A32, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "listeriosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2022-02-01T00:00:00	27	27	27.5	1	1	1
130054	Date A33 first reported (tetanus neonatorum)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A33. The code corresponds to "tetanus neonatorum". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	28	1	1	1
130055	Source of report of A33 (tetanus neonatorum)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A33, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "tetanus neonatorum".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	28.5	1	1	1
130056	Date A34 first reported (obstetrical tetanus)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A34. The code corresponds to "obstetrical tetanus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	29	1	1	1
130057	Source of report of A34 (obstetrical tetanus)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A34, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "obstetrical tetanus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	29.5	1	1	1
130058	Date A35 first reported (other tetanus)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A35. The code corresponds to "other tetanus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	119	119	30	1	1	1
130059	Source of report of A35 (other tetanus)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A35, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other tetanus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	119	119	30.5	1	1	1
130060	Date A36 first reported (diphtheria)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A36. The code corresponds to "diphtheria". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	158	158	31	1	1	1
130061	Source of report of A36 (diphtheria)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A36, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "diphtheria".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	158	158	31.5	1	1	1
130062	Date A37 first reported (whooping cough)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A37. The code corresponds to "whooping cough". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	2999	2999	32	1	1	1
130063	Source of report of A37 (whooping cough)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A37, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "whooping cough".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	2999	2999	32.5	1	1	1
130064	Date A38 first reported (scarlet fever)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A38. The code corresponds to "scarlet fever". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	1848	1848	33	1	1	1
130065	Source of report of A38 (scarlet fever)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A38, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "scarlet fever".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	1848	1848	33.5	1	1	1
130066	Date A39 first reported (meningococcal infection)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A39. The code corresponds to "meningococcal infection". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-03-01T00:00:00	117	117	34	1	1	1
130067	Source of report of A39 (meningococcal infection)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A39, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "meningococcal infection".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-03-01T00:00:00	117	117	34.5	1	1	1
130068	Date A40 first reported (streptococcal septicaemia)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A40. The code corresponds to "streptococcal septicaemia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	908	908	35	1	1	1
130069	Source of report of A40 (streptococcal septicaemia)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A40, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "streptococcal septicaemia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	908	908	35.5	1	1	1
130070	Date A41 first reported (other septicaemia)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A41. The code corresponds to "other septicaemia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	17928	17928	36	1	1	1
130071	Source of report of A41 (other septicaemia)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A41, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other septicaemia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	17928	17928	36.5	1	1	1
130072	Date A42 first reported (actinomycosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A42. The code corresponds to "actinomycosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	222	222	37	1	1	1
130073	Source of report of A42 (actinomycosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A42, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "actinomycosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	222	222	37.5	1	1	1
130074	Date A43 first reported (nocardiosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A43. The code corresponds to "nocardiosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	3	3	38	1	1	1
130075	Source of report of A43 (nocardiosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A43, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "nocardiosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	3	3	38.5	1	1	1
130076	Date A44 first reported (bartonellosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A44. The code corresponds to "bartonellosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	39	1	1	1
130077	Source of report of A44 (bartonellosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A44, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "bartonellosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	39.5	1	1	1
130078	Date A46 first reported (erysipelas)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A46. The code corresponds to "erysipelas". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	333	333	40	1	1	1
130079	Source of report of A46 (erysipelas)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A46, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "erysipelas".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	333	333	40.5	1	1	1
130080	Date A48 first reported (other bacterial diseases, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A48. The code corresponds to "other bacterial diseases, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	209	209	41	1	1	1
130081	Source of report of A48 (other bacterial diseases, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A48, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other bacterial diseases, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	209	209	41.5	1	1	1
130082	Date A49 first reported (bacterial infection of unspecified site)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A49. The code corresponds to "bacterial infection of unspecified site". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	3280	3280	42	1	1	1
130083	Source of report of A49 (bacterial infection of unspecified site)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A49, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "bacterial infection of unspecified site".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3280	3280	42.5	1	1	1
130084	Date A50 first reported (congenital syphilis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A50. The code corresponds to "congenital syphilis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	9	9	43	1	1	1
130085	Source of report of A50 (congenital syphilis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A50, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital syphilis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	9	9	43.5	1	1	1
130086	Date A51 first reported (early syphilis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A51. The code corresponds to "early syphilis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	20	20	44	1	1	1
130087	Source of report of A51 (early syphilis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A51, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "early syphilis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	20	20	44.5	1	1	1
130088	Date A52 first reported (late syphilis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A52. The code corresponds to "late syphilis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	21	21	45	1	1	1
130089	Source of report of A52 (late syphilis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A52, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "late syphilis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	21	21	45.5	1	1	1
130090	Date A53 first reported (other and unspecified syphilis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A53. The code corresponds to "other and unspecified syphilis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-01-25T00:00:00	30	30	46	1	1	1
130091	Source of report of A53 (other and unspecified syphilis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A53, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other and unspecified syphilis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-01-25T00:00:00	30	30	46.5	1	1	1
130092	Date A54 first reported (gonococcal infection)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A54. The code corresponds to "gonococcal infection". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	282	282	47	1	1	1
130093	Source of report of A54 (gonococcal infection)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A54, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "gonococcal infection".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	282	282	47.5	1	1	1
130094	Date A55 first reported (chlamydial lymphogranuloma (venereum))	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A55. The code corresponds to "chlamydial lymphogranuloma (venereum)". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	4	4	48	1	1	1
130095	Source of report of A55 (chlamydial lymphogranuloma (venereum))	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A55, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "chlamydial lymphogranuloma (venereum)".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	4	4	48.5	1	1	1
130096	Date A56 first reported (other sexually transmitted chlamydial diseases)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A56. The code corresponds to "other sexually transmitted chlamydial diseases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	84	84	49	1	1	1
130097	Source of report of A56 (other sexually transmitted chlamydial diseases)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A56, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other sexually transmitted chlamydial diseases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	84	84	49.5	1	1	1
130098	Date A57 first reported (chancroid)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A57. The code corresponds to "chancroid". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	50	1	1	1
130099	Source of report of A57 (chancroid)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A57, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "chancroid".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	50.5	1	1	1
130100	Date A58 first reported (granuloma inguinale)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A58. The code corresponds to "granuloma inguinale". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	51	1	1	1
130101	Source of report of A58 (granuloma inguinale)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A58, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "granuloma inguinale".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	51.5	1	1	1
130102	Date A59 first reported (trichomoniasis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A59. The code corresponds to "trichomoniasis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	90	90	52	1	1	1
130103	Source of report of A59 (trichomoniasis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A59, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "trichomoniasis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	90	90	52.5	1	1	1
130104	Date A60 first reported (anogenital herpesviral [herpes simplex] infections)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A60. The code corresponds to "anogenital herpesviral [herpes simplex] infections". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	446	446	53	1	1	1
130105	Source of report of A60 (anogenital herpesviral [herpes simplex] infections)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A60, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "anogenital herpesviral [herpes simplex] infections".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	446	446	53.5	1	1	1
130106	Date A63 first reported (other predominantly sexually transmitted diseases, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A63. The code corresponds to "other predominantly sexually transmitted diseases, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-01-25T00:00:00	1846	1846	54	1	1	1
130107	Source of report of A63 (other predominantly sexually transmitted diseases, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A63, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other predominantly sexually transmitted diseases, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-01-25T00:00:00	1846	1846	54.5	1	1	1
130108	Date A64 first reported (unspecified sexually transmitted disease)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A64. The code corresponds to "unspecified sexually transmitted disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	3	3	55	1	1	1
130109	Source of report of A64 (unspecified sexually transmitted disease)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A64, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified sexually transmitted disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	3	3	55.5	1	1	1
130110	Date A65 first reported (non-venereal syphilis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A65. The code corresponds to "non-venereal syphilis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	56	1	1	1
130111	Source of report of A65 (non-venereal syphilis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A65, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "non-venereal syphilis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	56.5	1	1	1
130112	Date A66 first reported (yaws)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A66. The code corresponds to "yaws". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	24	24	57	1	1	1
130113	Source of report of A66 (yaws)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A66, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "yaws".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	24	24	57.5	1	1	1
130114	Date A67 first reported (pinta [carate])	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A67. The code corresponds to "pinta [carate]". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	6	6	58	1	1	1
130115	Source of report of A67 (pinta [carate])	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A67, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pinta [carate]".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	6	6	58.5	1	1	1
130116	Date A68 first reported (relapsing fevers)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A68. The code corresponds to "relapsing fevers". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	59	1	1	1
130117	Source of report of A68 (relapsing fevers)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A68, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "relapsing fevers".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	59.5	1	1	1
130118	Date A69 first reported (other spirochaetal infections)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A69. The code corresponds to "other spirochaetal infections". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	332	332	60	1	1	1
130119	Source of report of A69 (other spirochaetal infections)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A69, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other spirochaetal infections".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	332	332	60.5	1	1	1
130120	Date A70 first reported (chlamydia psittaci infection)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A70. The code corresponds to "chlamydia psittaci infection". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-01-25T00:00:00	32	32	61	1	1	1
130121	Source of report of A70 (chlamydia psittaci infection)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A70, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "chlamydia psittaci infection".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-01-25T00:00:00	32	32	61.5	1	1	1
130122	Date A71 first reported (trachoma)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A71. The code corresponds to "trachoma". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	35	35	62	1	1	1
130123	Source of report of A71 (trachoma)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A71, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "trachoma".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	35	35	62.5	1	1	1
130124	Date A74 first reported (other diseases caused by chlamydiae)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A74. The code corresponds to "other diseases caused by chlamydiae". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	42	42	63	1	1	1
130125	Source of report of A74 (other diseases caused by chlamydiae)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A74, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other diseases caused by chlamydiae".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	42	42	63.5	1	1	1
130126	Date A75 first reported (typhus fever)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A75. The code corresponds to "typhus fever". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	5	5	64	1	1	1
130127	Source of report of A75 (typhus fever)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A75, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "typhus fever".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	5	5	64.5	1	1	1
130128	Date A77 first reported (spotted fever [tick-borne rickettsioses])	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A77. The code corresponds to "spotted fever [tick-borne rickettsioses]". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	21	21	65	1	1	1
130129	Source of report of A77 (spotted fever [tick-borne rickettsioses])	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A77, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "spotted fever [tick-borne rickettsioses]".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	21	21	65.5	1	1	1
130130	Date A78 first reported (q fever)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A78. The code corresponds to "q fever". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	10	10	66	1	1	1
130131	Source of report of A78 (q fever)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A78, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "q fever".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	10	10	66.5	1	1	1
130132	Date A79 first reported (other rickettsioses)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A79. The code corresponds to "other rickettsioses". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	67	1	1	1
130133	Source of report of A79 (other rickettsioses)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A79, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other rickettsioses".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	67.5	1	1	1
130134	Date A80 first reported (acute poliomyelitis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A80. The code corresponds to "acute poliomyelitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	548	548	68	1	1	1
130135	Source of report of A80 (acute poliomyelitis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A80, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acute poliomyelitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	548	548	68.5	1	1	1
130136	Date A81 first reported (atypical virus infections of central nervous system)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A81. The code corresponds to "atypical virus infections of central nervous system". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	78	78	69	1	1	1
130137	Source of report of A81 (atypical virus infections of central nervous system)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A81, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "atypical virus infections of central nervous system".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	78	78	69.5	1	1	1
130138	Date A82 first reported (rabies)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A82. The code corresponds to "rabies". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	18	18	70	1	1	1
130139	Source of report of A82 (rabies)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A82, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "rabies".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	18	18	70.5	1	1	1
130140	Date A83 first reported (mosquito-borne viral encephalitis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A83. The code corresponds to "mosquito-borne viral encephalitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	33	33	71	1	1	1
130141	Source of report of A83 (mosquito-borne viral encephalitis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A83, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "mosquito-borne viral encephalitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	33	33	71.5	1	1	1
130142	Date A84 first reported (tick-borne viral encephalitis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A84. The code corresponds to "tick-borne viral encephalitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	8	8	72	1	1	1
130143	Source of report of A84 (tick-borne viral encephalitis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A84, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "tick-borne viral encephalitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	8	8	72.5	1	1	1
130144	Date A85 first reported (other viral encephalitis, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A85. The code corresponds to "other viral encephalitis, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	16	16	73	1	1	1
130145	Source of report of A85 (other viral encephalitis, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A85, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other viral encephalitis, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	16	16	73.5	1	1	1
130146	Date A86 first reported (unspecified viral encephalitis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A86. The code corresponds to "unspecified viral encephalitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	143	143	74	1	1	1
130147	Source of report of A86 (unspecified viral encephalitis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A86, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified viral encephalitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	143	143	74.5	1	1	1
130148	Date A87 first reported (viral meningitis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A87. The code corresponds to "viral meningitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	511	511	75	1	1	1
130149	Source of report of A87 (viral meningitis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A87, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "viral meningitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	511	511	75.5	1	1	1
130150	Date A88 first reported (other viral infections of central nervous system, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A88. The code corresponds to "other viral infections of central nervous system, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	30	30	76	1	1	1
130151	Source of report of A88 (other viral infections of central nervous system, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A88, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other viral infections of central nervous system, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	30	30	76.5	1	1	1
130152	Date A89 first reported (unspecified viral infection of central nervous system)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A89. The code corresponds to "unspecified viral infection of central nervous system". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	38	38	77	1	1	1
130153	Source of report of A89 (unspecified viral infection of central nervous system)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A89, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified viral infection of central nervous system".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	38	38	77.5	1	1	1
130154	Date A90 first reported (dengue fever [classical dengue])	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A90. The code corresponds to "dengue fever [classical dengue]". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	66	66	78	1	1	1
130155	Source of report of A90 (dengue fever [classical dengue])	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A90, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "dengue fever [classical dengue]".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-06T00:00:00	66	66	78.5	1	1	1
130156	Date A91 first reported (dengue haemorrhagic fever)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A91. The code corresponds to "dengue haemorrhagic fever". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	79	1	1	1
130157	Source of report of A91 (dengue haemorrhagic fever)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A91, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "dengue haemorrhagic fever".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	79.5	1	1	1
130158	Date A92 first reported (other mosquito-borne viral fevers)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A92. The code corresponds to "other mosquito-borne viral fevers". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	14	14	80	1	1	1
130159	Source of report of A92 (other mosquito-borne viral fevers)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A92, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other mosquito-borne viral fevers".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	14	14	80.5	1	1	1
130160	Date A93 first reported (other arthropod-borne viral fevers, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A93. The code corresponds to "other arthropod-borne viral fevers, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	9	9	81	1	1	1
130161	Source of report of A93 (other arthropod-borne viral fevers, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A93, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other arthropod-borne viral fevers, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	9	9	81.5	1	1	1
130162	Date A94 first reported (unspecified arthropod-borne viral fever)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A94. The code corresponds to "unspecified arthropod-borne viral fever". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	4	4	82	1	1	1
130163	Source of report of A94 (unspecified arthropod-borne viral fever)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A94, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified arthropod-borne viral fever".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	4	4	82.5	1	1	1
130164	Date A95 first reported (yellow fever)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A95. The code corresponds to "yellow fever". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	78	78	83	1	1	1
130165	Source of report of A95 (yellow fever)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A95, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "yellow fever".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	78	78	83.5	1	1	1
130166	Date A96 first reported (arenaviral haemorrhagic fever)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A96. The code corresponds to "arenaviral haemorrhagic fever". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	84	1	1	1
130167	Source of report of A96 (arenaviral haemorrhagic fever)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A96, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "arenaviral haemorrhagic fever".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	84.5	1	1	1
130168	Date A97 first reported (dengue)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A97. The code corresponds to "dengue". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	35	35	85	1	1	1
130169	Source of report of A97 (dengue)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A97, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "dengue".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	35	35	85.5	1	1	1
130170	Date A98 first reported (other viral haemorrhagic fevers, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A98. The code corresponds to "other viral haemorrhagic fevers, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	86	1	1	1
130171	Source of report of A98 (other viral haemorrhagic fevers, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A98, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other viral haemorrhagic fevers, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	86.5	1	1	1
130172	Date A99 first reported (unspecified viral haemorrhagic fever)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 A99. The code corresponds to "unspecified viral haemorrhagic fever". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	87	1	1	1
130173	Source of report of A99 (unspecified viral haemorrhagic fever)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 A99, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified viral haemorrhagic fever".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	87.5	1	1	1
130174	Date B00 first reported (herpesviral [herpes simplex] infections)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B00. The code corresponds to "herpesviral [herpes simplex] infections". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	5095	5095	88	1	1	1
130175	Source of report of B00 (herpesviral [herpes simplex] infections)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B00, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "herpesviral [herpes simplex] infections".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	5095	5095	88.5	1	1	1
130176	Date B01 first reported (varicella [chickenpox])	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B01. The code corresponds to "varicella [chickenpox]". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	20769	20769	89	1	1	1
130177	Source of report of B01 (varicella [chickenpox])	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B01, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "varicella [chickenpox]".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	20769	20769	89.5	1	1	1
130178	Date B02 first reported (zoster [herpes zoster])	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B02. The code corresponds to "zoster [herpes zoster]". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	18705	18705	90	1	1	1
130179	Source of report of B02 (zoster [herpes zoster])	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B02, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "zoster [herpes zoster]".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	18705	18705	90.5	1	1	1
130180	Date B03 first reported (smallpox)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B03. The code corresponds to "smallpox". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	14	14	91	1	1	1
130181	Source of report of B03 (smallpox)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B03, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "smallpox".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	14	14	91.5	1	1	1
130182	Date B04 first reported (monkeypox)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B04. The code corresponds to "monkeypox". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	92	1	1	1
130183	Source of report of B04 (monkeypox)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B04, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "monkeypox".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	92.5	1	1	1
130184	Date B05 first reported (measles)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B05. The code corresponds to "measles". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	14700	14700	93	1	1	1
130185	Source of report of B05 (measles)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B05, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "measles".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	14700	14700	93.5	1	1	1
130186	Date B06 first reported (rubella [german measles])	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B06. The code corresponds to "rubella [german measles]". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	5365	5365	94	1	1	1
130187	Source of report of B06 (rubella [german measles])	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B06, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "rubella [german measles]".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	5365	5365	94.5	1	1	1
130188	Date B07 first reported (viral warts)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B07. The code corresponds to "viral warts". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	17924	17924	95	1	1	1
130189	Source of report of B07 (viral warts)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B07, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "viral warts".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	17924	17924	95.5	1	1	1
130190	Date B08 first reported (other viral infections characterised by skin and mucous membrane lesions, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B08. The code corresponds to "other viral infections characterised by skin and mucous membrane lesions, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1050	1050	96	1	1	1
130191	Source of report of B08 (other viral infections characterised by skin and mucous membrane lesions, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B08, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other viral infections characterised by skin and mucous membrane lesions, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1050	1050	96.5	1	1	1
130192	Date B09 first reported (unspecified viral infection characterised by skin and mucous membrane lesions)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B09. The code corresponds to "unspecified viral infection characterised by skin and mucous membrane lesions". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-01-25T00:00:00	30	30	97	1	1	1
130193	Source of report of B09 (unspecified viral infection characterised by skin and mucous membrane lesions)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B09, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified viral infection characterised by skin and mucous membrane lesions".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-01-25T00:00:00	30	30	97.5	1	1	1
130194	Date B15 first reported (acute hepatitis a)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B15. The code corresponds to "acute hepatitis a". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	1145	1145	98	1	1	1
130195	Source of report of B15 (acute hepatitis a)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B15, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acute hepatitis a".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	1145	1145	98.5	1	1	1
130196	Date B16 first reported (acute hepatitis b)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B16. The code corresponds to "acute hepatitis b". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	423	423	99	1	1	1
130197	Source of report of B16 (acute hepatitis b)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B16, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acute hepatitis b".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	423	423	99.5	1	1	1
130198	Date B17 first reported (other acute viral hepatitis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B17. The code corresponds to "other acute viral hepatitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	480	480	100	1	1	1
130199	Source of report of B17 (other acute viral hepatitis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B17, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other acute viral hepatitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	480	480	100.5	1	1	1
130200	Date B18 first reported (chronic viral hepatitis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B18. The code corresponds to "chronic viral hepatitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	913	913	101	1	1	1
130201	Source of report of B18 (chronic viral hepatitis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B18, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "chronic viral hepatitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	913	913	101.5	1	1	1
130202	Date B19 first reported (unspecified viral hepatitis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B19. The code corresponds to "unspecified viral hepatitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	1361	1361	102	1	1	1
130203	Source of report of B19 (unspecified viral hepatitis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B19, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified viral hepatitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	1361	1361	102.5	1	1	1
130204	Date B20 first reported (human immunodeficiency virus [hiv] disease resulting in infectious and parasitic diseases)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B20. The code corresponds to "human immunodeficiency virus [hiv] disease resulting in infectious and parasitic diseases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	71	71	103	1	1	1
130205	Source of report of B20 (human immunodeficiency virus [hiv] disease resulting in infectious and parasitic diseases)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B20, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "human immunodeficiency virus [hiv] disease resulting in infectious and parasitic diseases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	71	71	103.5	1	1	1
130206	Date B21 first reported (human immunodeficiency virus [hiv] disease resulting in malignant neoplasms)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B21. The code corresponds to "human immunodeficiency virus [hiv] disease resulting in malignant neoplasms". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	16	16	104	1	1	1
130207	Source of report of B21 (human immunodeficiency virus [hiv] disease resulting in malignant neoplasms)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B21, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "human immunodeficiency virus [hiv] disease resulting in malignant neoplasms".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	16	16	104.5	1	1	1
130208	Date B22 first reported (human immunodeficiency virus [hiv] disease resulting in other specified diseases)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B22. The code corresponds to "human immunodeficiency virus [hiv] disease resulting in other specified diseases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	12	12	105	1	1	1
130209	Source of report of B22 (human immunodeficiency virus [hiv] disease resulting in other specified diseases)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B22, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "human immunodeficiency virus [hiv] disease resulting in other specified diseases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	12	12	105.5	1	1	1
130210	Date B23 first reported (human immunodeficiency virus [hiv] disease resulting in other conditions)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B23. The code corresponds to "human immunodeficiency virus [hiv] disease resulting in other conditions". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	40	40	106	1	1	1
130211	Source of report of B23 (human immunodeficiency virus [hiv] disease resulting in other conditions)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B23, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "human immunodeficiency virus [hiv] disease resulting in other conditions".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	40	40	106.5	1	1	1
130212	Date B24 first reported (unspecified human immunodeficiency virus [hiv] disease)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B24. The code corresponds to "unspecified human immunodeficiency virus [hiv] disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	521	521	107	1	1	1
130213	Source of report of B24 (unspecified human immunodeficiency virus [hiv] disease)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B24, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified human immunodeficiency virus [hiv] disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	521	521	107.5	1	1	1
130214	Date B25 first reported (cytomegaloviral disease)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B25. The code corresponds to "cytomegaloviral disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	308	308	108	1	1	1
130215	Source of report of B25 (cytomegaloviral disease)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B25, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cytomegaloviral disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	308	308	108.5	1	1	1
130216	Date B26 first reported (mumps)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B26. The code corresponds to "mumps". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	9746	9746	109	1	1	1
130217	Source of report of B26 (mumps)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B26, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "mumps".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	9746	9746	109.5	1	1	1
130218	Date B27 first reported (infectious mononucleosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B27. The code corresponds to "infectious mononucleosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	3704	3704	110	1	1	1
130219	Source of report of B27 (infectious mononucleosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B27, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "infectious mononucleosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	3704	3704	110.5	1	1	1
130220	Date B30 first reported (viral conjunctivitis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B30. The code corresponds to "viral conjunctivitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	209	209	111	1	1	1
130221	Source of report of B30 (viral conjunctivitis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B30, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "viral conjunctivitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	209	209	111.5	1	1	1
130222	Date B33 first reported (other viral diseases, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B33. The code corresponds to "other viral diseases, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	241	241	112	1	1	1
130223	Source of report of B33 (other viral diseases, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B33, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other viral diseases, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	241	241	112.5	1	1	1
130224	Date B34 first reported (viral infection of unspecified site)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B34. The code corresponds to "viral infection of unspecified site". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	12280	12280	113	1	1	1
130225	Source of report of B34 (viral infection of unspecified site)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B34, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "viral infection of unspecified site".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	12280	12280	113.5	1	1	1
130226	Date B35 first reported (dermatophytosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B35. The code corresponds to "dermatophytosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	33145	33145	114	1	1	1
130227	Source of report of B35 (dermatophytosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B35, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "dermatophytosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	33145	33145	114.5	1	1	1
130228	Date B36 first reported (other superficial mycoses)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B36. The code corresponds to "other superficial mycoses". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	5898	5898	115	1	1	1
130229	Source of report of B36 (other superficial mycoses)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B36, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other superficial mycoses".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5898	5898	115.5	1	1	1
130230	Date B37 first reported (candidiasis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B37. The code corresponds to "candidiasis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	13431	13431	116	1	1	1
130231	Source of report of B37 (candidiasis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B37, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "candidiasis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	13431	13431	116.5	1	1	1
130232	Date B38 first reported (coccidioidomycosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B38. The code corresponds to "coccidioidomycosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	5	5	117	1	1	1
130233	Source of report of B38 (coccidioidomycosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B38, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "coccidioidomycosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	5	5	117.5	1	1	1
130234	Date B39 first reported (histoplasmosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B39. The code corresponds to "histoplasmosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	11	11	118	1	1	1
130235	Source of report of B39 (histoplasmosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B39, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "histoplasmosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	11	11	118.5	1	1	1
130236	Date B40 first reported (blastomycosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B40. The code corresponds to "blastomycosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	119	1	1	1
130237	Source of report of B40 (blastomycosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B40, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "blastomycosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	119.5	1	1	1
130238	Date B41 first reported (paracoccidioidomycosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B41. The code corresponds to "paracoccidioidomycosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	120	1	1	1
130239	Source of report of B41 (paracoccidioidomycosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B41, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "paracoccidioidomycosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	120.5	1	1	1
130240	Date B42 first reported (sporotrichosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B42. The code corresponds to "sporotrichosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	121	1	1	1
130241	Source of report of B42 (sporotrichosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B42, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "sporotrichosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	121.5	1	1	1
130242	Date B43 first reported (chromomycosis and phaeomycotic abscess)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B43. The code corresponds to "chromomycosis and phaeomycotic abscess". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-01-25T00:00:00	4	4	122	1	1	1
130243	Source of report of B43 (chromomycosis and phaeomycotic abscess)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B43, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "chromomycosis and phaeomycotic abscess".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-01-25T00:00:00	4	4	122.5	1	1	1
130244	Date B44 first reported (aspergillosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B44. The code corresponds to "aspergillosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	496	496	123	1	1	1
130245	Source of report of B44 (aspergillosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B44, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "aspergillosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	496	496	123.5	1	1	1
130246	Date B45 first reported (cryptococcosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B45. The code corresponds to "cryptococcosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	9	9	124	1	1	1
130247	Source of report of B45 (cryptococcosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B45, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cryptococcosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	9	9	124.5	1	1	1
130248	Date B46 first reported (zygomycosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B46. The code corresponds to "zygomycosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-01-25T00:00:00	4	4	125	1	1	1
130249	Source of report of B46 (zygomycosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B46, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "zygomycosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-01-25T00:00:00	4	4	125.5	1	1	1
130250	Date B47 first reported (mycetoma)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B47. The code corresponds to "mycetoma". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	28	28	126	1	1	1
130251	Source of report of B47 (mycetoma)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B47, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "mycetoma".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	28	28	126.5	1	1	1
130252	Date B48 first reported (other mycoses, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B48. The code corresponds to "other mycoses, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	32	32	127	1	1	1
130253	Source of report of B48 (other mycoses, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B48, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other mycoses, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	32	32	127.5	1	1	1
130254	Date B49 first reported (unspecified mycosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B49. The code corresponds to "unspecified mycosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	556	556	128	1	1	1
130255	Source of report of B49 (unspecified mycosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B49, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified mycosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	556	556	128.5	1	1	1
130256	Date B50 first reported (plasmodium falciparum malaria)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B50. The code corresponds to "plasmodium falciparum malaria". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	197	197	129	1	1	1
130257	Source of report of B50 (plasmodium falciparum malaria)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B50, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "plasmodium falciparum malaria".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	197	197	129.5	1	1	1
130258	Date B51 first reported (plasmodium vivax malaria)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B51. The code corresponds to "plasmodium vivax malaria". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	43	43	130	1	1	1
130259	Source of report of B51 (plasmodium vivax malaria)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B51, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "plasmodium vivax malaria".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	43	43	130.5	1	1	1
130260	Date B52 first reported (plasmodium malariae malaria)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B52. The code corresponds to "plasmodium malariae malaria". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	5	5	131	1	1	1
130261	Source of report of B52 (plasmodium malariae malaria)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B52, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "plasmodium malariae malaria".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	5	5	131.5	1	1	1
130262	Date B53 first reported (other parasitologically confirmed malaria)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B53. The code corresponds to "other parasitologically confirmed malaria". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	5	5	132	1	1	1
130263	Source of report of B53 (other parasitologically confirmed malaria)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B53, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other parasitologically confirmed malaria".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	5	5	132.5	1	1	1
130264	Date B54 first reported (unspecified malaria)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B54. The code corresponds to "unspecified malaria". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	938	938	133	1	1	1
130265	Source of report of B54 (unspecified malaria)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B54, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified malaria".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	938	938	133.5	1	1	1
130266	Date B55 first reported (leishmaniasis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B55. The code corresponds to "leishmaniasis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	17	17	134	1	1	1
130267	Source of report of B55 (leishmaniasis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B55, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "leishmaniasis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	17	17	134.5	1	1	1
130268	Date B56 first reported (african trypanosomiasis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B56. The code corresponds to "african trypanosomiasis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	135	1	1	1
130269	Source of report of B56 (african trypanosomiasis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B56, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "african trypanosomiasis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	135.5	1	1	1
130270	Date B57 first reported (chagas' disease)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B57. The code corresponds to "chagas' disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	136	1	1	1
130271	Source of report of B57 (chagas' disease)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B57, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "chagas' disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	136.5	1	1	1
130272	Date B58 first reported (toxoplasmosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B58. The code corresponds to "toxoplasmosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	63	63	137	1	1	1
130273	Source of report of B58 (toxoplasmosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B58, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "toxoplasmosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	63	63	137.5	1	1	1
130274	Date B59 first reported (pneumocystosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B59. The code corresponds to "pneumocystosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	205	205	138	1	1	1
130275	Source of report of B59 (pneumocystosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B59, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pneumocystosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	205	205	138.5	1	1	1
130276	Date B60 first reported (other protozoal diseases, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B60. The code corresponds to "other protozoal diseases, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	14	14	139	1	1	1
130277	Source of report of B60 (other protozoal diseases, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B60, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other protozoal diseases, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	14	14	139.5	1	1	1
130278	Date B64 first reported (unspecified protozoal disease)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B64. The code corresponds to "unspecified protozoal disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	140	1	1	1
130279	Source of report of B64 (unspecified protozoal disease)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B64, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified protozoal disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	140.5	1	1	1
130280	Date B65 first reported (schistosomiasis [bilharziasis])	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B65. The code corresponds to "schistosomiasis [bilharziasis]". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	114	114	141	1	1	1
130281	Source of report of B65 (schistosomiasis [bilharziasis])	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B65, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "schistosomiasis [bilharziasis]".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	114	114	141.5	1	1	1
130282	Date B66 first reported (other fluke infections)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B66. The code corresponds to "other fluke infections". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	7	7	142	1	1	1
130283	Source of report of B66 (other fluke infections)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B66, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other fluke infections".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	7	7	142.5	1	1	1
130284	Date B67 first reported (echinococcosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B67. The code corresponds to "echinococcosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	12	12	143	1	1	1
130285	Source of report of B67 (echinococcosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B67, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "echinococcosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	12	12	143.5	1	1	1
130286	Date B68 first reported (taeniasis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B68. The code corresponds to "taeniasis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	12	12	144	1	1	1
130287	Source of report of B68 (taeniasis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B68, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "taeniasis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	12	12	144.5	1	1	1
130288	Date B69 first reported (cysticercosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B69. The code corresponds to "cysticercosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	6	6	145	1	1	1
130289	Source of report of B69 (cysticercosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B69, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cysticercosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	6	6	145.5	1	1	1
130290	Date B70 first reported (diphyllobothriasis and sparganosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B70. The code corresponds to "diphyllobothriasis and sparganosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	146	1	1	1
130291	Source of report of B70 (diphyllobothriasis and sparganosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B70, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "diphyllobothriasis and sparganosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	146.5	1	1	1
130292	Date B71 first reported (other cestode infections)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B71. The code corresponds to "other cestode infections". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	14	14	147	1	1	1
130293	Source of report of B71 (other cestode infections)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B71, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other cestode infections".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	14	14	147.5	1	1	1
130294	Date B72 first reported (dracunculiasis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B72. The code corresponds to "dracunculiasis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	148	1	1	1
130295	Source of report of B72 (dracunculiasis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B72, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "dracunculiasis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	148.5	1	1	1
130296	Date B73 first reported (onchocerciasis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B73. The code corresponds to "onchocerciasis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	17	17	149	1	1	1
130297	Source of report of B73 (onchocerciasis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B73, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "onchocerciasis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	17	17	149.5	1	1	1
130298	Date B74 first reported (filariasis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B74. The code corresponds to "filariasis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	5	5	150	1	1	1
130299	Source of report of B74 (filariasis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B74, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "filariasis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	5	5	150.5	1	1	1
130300	Date B75 first reported (trichinellosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B75. The code corresponds to "trichinellosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	151	1	1	1
130301	Source of report of B75 (trichinellosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B75, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "trichinellosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	151.5	1	1	1
130302	Date B76 first reported (hookworm diseases)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B76. The code corresponds to "hookworm diseases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	33	33	152	1	1	1
130303	Source of report of B76 (hookworm diseases)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B76, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hookworm diseases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	33	33	152.5	1	1	1
130304	Date B77 first reported (ascariasis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B77. The code corresponds to "ascariasis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-01-25T00:00:00	12	12	153	1	1	1
130305	Source of report of B77 (ascariasis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B77, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "ascariasis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-01-25T00:00:00	12	12	153.5	1	1	1
130306	Date B78 first reported (strongyloidiasis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B78. The code corresponds to "strongyloidiasis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	8	8	154	1	1	1
130307	Source of report of B78 (strongyloidiasis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B78, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "strongyloidiasis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	8	8	154.5	1	1	1
130308	Date B79 first reported (trichuriasis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B79. The code corresponds to "trichuriasis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	5	5	155	1	1	1
130309	Source of report of B79 (trichuriasis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B79, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "trichuriasis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	5	5	155.5	1	1	1
130310	Date B80 first reported (enterobiasis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B80. The code corresponds to "enterobiasis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	780	780	156	1	1	1
130311	Source of report of B80 (enterobiasis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B80, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "enterobiasis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	780	780	156.5	1	1	1
130312	Date B81 first reported (other intestinal helminthiases, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B81. The code corresponds to "other intestinal helminthiases, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	17	17	157	1	1	1
130313	Source of report of B81 (other intestinal helminthiases, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B81, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other intestinal helminthiases, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	17	17	157.5	1	1	1
130314	Date B82 first reported (unspecified intestinal parasitism)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B82. The code corresponds to "unspecified intestinal parasitism". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-01-25T00:00:00	96	96	158	1	1	1
130315	Source of report of B82 (unspecified intestinal parasitism)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B82, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified intestinal parasitism".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-01-25T00:00:00	96	96	158.5	1	1	1
130316	Date B83 first reported (other helminthiases)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B83. The code corresponds to "other helminthiases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	86	86	159	1	1	1
130317	Source of report of B83 (other helminthiases)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B83, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other helminthiases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	86	86	159.5	1	1	1
130318	Date B85 first reported (pediculosis and phthiriasis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B85. The code corresponds to "pediculosis and phthiriasis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	341	341	160	1	1	1
130319	Source of report of B85 (pediculosis and phthiriasis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B85, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pediculosis and phthiriasis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	341	341	160.5	1	1	1
130320	Date B86 first reported (scabies)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B86. The code corresponds to "scabies". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	2468	2468	161	1	1	1
130321	Source of report of B86 (scabies)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B86, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "scabies".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2468	2468	161.5	1	1	1
130322	Date B87 first reported (myiasis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B87. The code corresponds to "myiasis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	10	10	162	1	1	1
130323	Source of report of B87 (myiasis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B87, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "myiasis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	10	10	162.5	1	1	1
130324	Date B88 first reported (other infestations)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B88. The code corresponds to "other infestations". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	187	187	163	1	1	1
130325	Source of report of B88 (other infestations)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B88, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other infestations".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	187	187	163.5	1	1	1
130326	Date B89 first reported (unspecified parasitic disease)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B89. The code corresponds to "unspecified parasitic disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	4	4	164	1	1	1
130327	Source of report of B89 (unspecified parasitic disease)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B89, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified parasitic disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	4	4	164.5	1	1	1
130328	Date B90 first reported (sequelae of tuberculosis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B90. The code corresponds to "sequelae of tuberculosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	61	61	165	1	1	1
130329	Source of report of B90 (sequelae of tuberculosis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B90, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "sequelae of tuberculosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	61	61	165.5	1	1	1
130330	Date B91 first reported (sequelae of poliomyelitis)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B91. The code corresponds to "sequelae of poliomyelitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	260	260	166	1	1	1
130331	Source of report of B91 (sequelae of poliomyelitis)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B91, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "sequelae of poliomyelitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	260	260	166.5	1	1	1
130332	Date B92 first reported (sequelae of leprosy)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B92. The code corresponds to "sequelae of leprosy". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	167	1	1	1
130333	Source of report of B92 (sequelae of leprosy)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B92, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "sequelae of leprosy".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	167.5	1	1	1
130334	Date B94 first reported (sequelae of other and unspecified infectious and parasitic diseases)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B94. The code corresponds to "sequelae of other and unspecified infectious and parasitic diseases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	188	188	168	1	1	1
130335	Source of report of B94 (sequelae of other and unspecified infectious and parasitic diseases)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B94, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "sequelae of other and unspecified infectious and parasitic diseases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	188	188	168.5	1	1	1
130336	Date B95 first reported (streptococcus and staphylococcus as the cause of diseases classified to other chapters)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B95. The code corresponds to "streptococcus and staphylococcus as the cause of diseases classified to other chapters". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	9688	9688	169	1	1	1
130337	Source of report of B95 (streptococcus and staphylococcus as the cause of diseases classified to other chapters)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B95, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "streptococcus and staphylococcus as the cause of diseases classified to other chapters".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	9688	9688	169.5	1	1	1
130338	Date B96 first reported (other bacterial agents as the cause of diseases classified to other chapters)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B96. The code corresponds to "other bacterial agents as the cause of diseases classified to other chapters". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	20166	20166	170	1	1	1
130339	Source of report of B96 (other bacterial agents as the cause of diseases classified to other chapters)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B96, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other bacterial agents as the cause of diseases classified to other chapters".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	20166	20166	170.5	1	1	1
130340	Date B97 first reported (viral agents as the cause of diseases classified to other chapters)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B97. The code corresponds to "viral agents as the cause of diseases classified to other chapters". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	4847	4847	171	1	1	1
130341	Source of report of B97 (viral agents as the cause of diseases classified to other chapters)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B97, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "viral agents as the cause of diseases classified to other chapters".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	4847	4847	171.5	1	1	1
130342	Date B98 first reported (other specified infectious agents as the cause of diseases classified to other chapters)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B98. The code corresponds to "other specified infectious agents as the cause of diseases classified to other chapters". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	5028	5028	172	1	1	1
130343	Source of report of B98 (other specified infectious agents as the cause of diseases classified to other chapters)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B98, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other specified infectious agents as the cause of diseases classified to other chapters".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5028	5028	172.5	1	1	1
130344	Date B99 first reported (other and unspecified infectious diseases)	0	3	0	51	0	0	3	0	0	0		2401	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 B99. The code corresponds to "other and unspecified infectious diseases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1366	1366	173	1	1	1
130345	Source of report of B99 (other and unspecified infectious diseases)	0	3	0	21	11	0	3	0	0	0		2401	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 B99, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other and unspecified infectious diseases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1366	1366	173.5	1	1	1
130622	Date D50 first reported (iron deficiency anaemia)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D50. The code corresponds to "iron deficiency anaemia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	33049	33049	312	1	1	1
130623	Source of report of D50 (iron deficiency anaemia)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D50, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "iron deficiency anaemia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	33049	33049	312.5	1	1	1
130624	Date D51 first reported (vitamin b12 deficiency anaemia)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D51. The code corresponds to "vitamin b12 deficiency anaemia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	3828	3828	313	1	1	1
130625	Source of report of D51 (vitamin b12 deficiency anaemia)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D51, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "vitamin b12 deficiency anaemia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	3828	3828	313.5	1	1	1
130626	Date D52 first reported (folate deficiency anaemia)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D52. The code corresponds to "folate deficiency anaemia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1109	1109	314	1	1	1
130627	Source of report of D52 (folate deficiency anaemia)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D52, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "folate deficiency anaemia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1109	1109	314.5	1	1	1
130628	Date D53 first reported (other nutritional anaemias)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D53. The code corresponds to "other nutritional anaemias". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	296	296	315	1	1	1
130629	Source of report of D53 (other nutritional anaemias)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D53, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other nutritional anaemias".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	296	296	315.5	1	1	1
130630	Date D55 first reported (anaemia due to enzyme disorders)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D55. The code corresponds to "anaemia due to enzyme disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	42	42	316	1	1	1
130631	Source of report of D55 (anaemia due to enzyme disorders)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D55, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "anaemia due to enzyme disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	42	42	316.5	1	1	1
130632	Date D56 first reported (thalassaemia)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D56. The code corresponds to "thalassaemia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	757	757	317	1	1	1
130633	Source of report of D56 (thalassaemia)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D56, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "thalassaemia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	757	757	317.5	1	1	1
130634	Date D57 first reported (sickle-cell disorders)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D57. The code corresponds to "sickle-cell disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	734	734	318	1	1	1
130635	Source of report of D57 (sickle-cell disorders)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D57, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "sickle-cell disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	734	734	318.5	1	1	1
130636	Date D58 first reported (other hereditary haemolytic anaemias)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D58. The code corresponds to "other hereditary haemolytic anaemias". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	302	302	319	1	1	1
130637	Source of report of D58 (other hereditary haemolytic anaemias)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D58, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other hereditary haemolytic anaemias".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	302	302	319.5	1	1	1
130638	Date D59 first reported (acquired haemolytic anaemia)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D59. The code corresponds to "acquired haemolytic anaemia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	394	394	320	1	1	1
130639	Source of report of D59 (acquired haemolytic anaemia)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D59, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acquired haemolytic anaemia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	394	394	320.5	1	1	1
130640	Date D60 first reported (acquired pure red cell aplasia [erythroblastopenia])	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D60. The code corresponds to "acquired pure red cell aplasia [erythroblastopenia]". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	23	23	321	1	1	1
130641	Source of report of D60 (acquired pure red cell aplasia [erythroblastopenia])	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D60, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acquired pure red cell aplasia [erythroblastopenia]".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	23	23	321.5	1	1	1
130642	Date D61 first reported (other aplastic anaemias)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D61. The code corresponds to "other aplastic anaemias". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1756	1756	322	1	1	1
130643	Source of report of D61 (other aplastic anaemias)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D61, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other aplastic anaemias".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1756	1756	322.5	1	1	1
130644	Date D62 first reported (acute posthaemorrhagic anaemia)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D62. The code corresponds to "acute posthaemorrhagic anaemia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	481	481	323	1	1	1
130645	Source of report of D62 (acute posthaemorrhagic anaemia)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D62, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acute posthaemorrhagic anaemia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	481	481	323.5	1	1	1
130646	Date D63 first reported (anaemia in chronic diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D63. The code corresponds to "anaemia in chronic diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1971	1971	324	1	1	1
130647	Source of report of D63 (anaemia in chronic diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D63, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "anaemia in chronic diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1971	1971	324.5	1	1	1
130648	Date D64 first reported (other anaemias)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D64. The code corresponds to "other anaemias". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	35598	35598	325	1	1	1
130649	Source of report of D64 (other anaemias)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D64, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other anaemias".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	35598	35598	325.5	1	1	1
130650	Date D65 first reported (disseminated intravascular coagulation [defibrination syndrome])	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D65. The code corresponds to "disseminated intravascular coagulation [defibrination syndrome]". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	106	106	326	1	1	1
130651	Source of report of D65 (disseminated intravascular coagulation [defibrination syndrome])	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D65, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disseminated intravascular coagulation [defibrination syndrome]".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	106	106	326.5	1	1	1
130652	Date D66 first reported (hereditary factor viii deficiency)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D66. The code corresponds to "hereditary factor viii deficiency". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	159	159	327	1	1	1
130653	Source of report of D66 (hereditary factor viii deficiency)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D66, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hereditary factor viii deficiency".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	159	159	327.5	1	1	1
130654	Date D67 first reported (hereditary factor ix deficiency)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D67. The code corresponds to "hereditary factor ix deficiency". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	29	29	328	1	1	1
130655	Source of report of D67 (hereditary factor ix deficiency)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D67, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hereditary factor ix deficiency".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	29	29	328.5	1	1	1
130656	Date D68 first reported (other coagulation defects)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D68. The code corresponds to "other coagulation defects". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	2760	2760	329	1	1	1
130657	Source of report of D68 (other coagulation defects)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D68, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other coagulation defects".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2760	2760	329.5	1	1	1
130658	Date D69 first reported (purpura and other haemorrhagic conditions)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D69. The code corresponds to "purpura and other haemorrhagic conditions". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	6358	6358	330	1	1	1
130659	Source of report of D69 (purpura and other haemorrhagic conditions)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D69, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "purpura and other haemorrhagic conditions".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	6358	6358	330.5	1	1	1
130660	Date D70 first reported (agranulocytosis)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D70. The code corresponds to "agranulocytosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	8023	8023	331	1	1	1
130661	Source of report of D70 (agranulocytosis)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D70, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "agranulocytosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	8023	8023	331.5	1	1	1
130662	Date D71 first reported (functional disorders of polymorphonuclear neutrophils)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D71. The code corresponds to "functional disorders of polymorphonuclear neutrophils". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	34	34	332	1	1	1
130663	Source of report of D71 (functional disorders of polymorphonuclear neutrophils)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D71, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "functional disorders of polymorphonuclear neutrophils".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	34	34	332.5	1	1	1
130664	Date D72 first reported (other disorders of white blood cells)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D72. The code corresponds to "other disorders of white blood cells". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1921	1921	333	1	1	1
130665	Source of report of D72 (other disorders of white blood cells)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D72, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of white blood cells".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1921	1921	333.5	1	1	1
130666	Date D73 first reported (diseases of spleen)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D73. The code corresponds to "diseases of spleen". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1480	1480	334	1	1	1
130667	Source of report of D73 (diseases of spleen)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D73, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "diseases of spleen".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1480	1480	334.5	1	1	1
130668	Date D74 first reported (methaemoglobinaemia)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D74. The code corresponds to "methaemoglobinaemia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	17	17	335	1	1	1
130669	Source of report of D74 (methaemoglobinaemia)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D74, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "methaemoglobinaemia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	17	17	335.5	1	1	1
130670	Date D75 first reported (other diseases of blood and blood-forming organs)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D75. The code corresponds to "other diseases of blood and blood-forming organs". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	3052	3052	336	1	1	1
130671	Source of report of D75 (other diseases of blood and blood-forming organs)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D75, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other diseases of blood and blood-forming organs".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3052	3052	336.5	1	1	1
130672	Date D76 first reported (certain diseases involving lymphoreticular tissue and reticulohistiocytic system)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D76. The code corresponds to "certain diseases involving lymphoreticular tissue and reticulohistiocytic system". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	141	141	337	1	1	1
130673	Source of report of D76 (certain diseases involving lymphoreticular tissue and reticulohistiocytic system)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D76, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "certain diseases involving lymphoreticular tissue and reticulohistiocytic system".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	141	141	337.5	1	1	1
130674	Date D77 first reported (other disorders of blood and blood-forming organs in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D77. The code corresponds to "other disorders of blood and blood-forming organs in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	9	9	338	1	1	1
130675	Source of report of D77 (other disorders of blood and blood-forming organs in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D77, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of blood and blood-forming organs in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	9	9	338.5	1	1	1
130676	Date D80 first reported (immunodeficiency with predominantly antibody defects)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D80. The code corresponds to "immunodeficiency with predominantly antibody defects". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	472	472	339	1	1	1
130677	Source of report of D80 (immunodeficiency with predominantly antibody defects)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D80, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "immunodeficiency with predominantly antibody defects".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	472	472	339.5	1	1	1
130678	Date D81 first reported (combined immunodeficiencies)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D81. The code corresponds to "combined immunodeficiencies". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	16	16	340	1	1	1
130679	Source of report of D81 (combined immunodeficiencies)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D81, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "combined immunodeficiencies".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	16	16	340.5	1	1	1
130680	Date D82 first reported (immunodeficiency associated with other major defects)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D82. The code corresponds to "immunodeficiency associated with other major defects". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	53	53	341	1	1	1
130681	Source of report of D82 (immunodeficiency associated with other major defects)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D82, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "immunodeficiency associated with other major defects".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	53	53	341.5	1	1	1
130682	Date D83 first reported (common variable immunodeficiency)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D83. The code corresponds to "common variable immunodeficiency". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	55	55	342	1	1	1
130683	Source of report of D83 (common variable immunodeficiency)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D83, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "common variable immunodeficiency".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	55	55	342.5	1	1	1
130684	Date D84 first reported (other immunodeficiencies)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D84. The code corresponds to "other immunodeficiencies". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	231	231	343	1	1	1
130685	Source of report of D84 (other immunodeficiencies)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D84, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other immunodeficiencies".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	231	231	343.5	1	1	1
130686	Date D86 first reported (sarcoidosis)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D86. The code corresponds to "sarcoidosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	2158	2158	344	1	1	1
130687	Source of report of D86 (sarcoidosis)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D86, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "sarcoidosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	2158	2158	344.5	1	1	1
130688	Date D89 first reported (other disorders involving the immune mechanism, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2403	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 D89. The code corresponds to "other disorders involving the immune mechanism, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	838	838	345	1	1	1
130689	Source of report of D89 (other disorders involving the immune mechanism, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2403	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 D89, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders involving the immune mechanism, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	838	838	345.5	1	1	1
130690	Date E00 first reported (congenital iodine-deficiency syndrome)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E00. The code corresponds to "congenital iodine-deficiency syndrome". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	346	1	1	1
130691	Source of report of E00 (congenital iodine-deficiency syndrome)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E00, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital iodine-deficiency syndrome".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	346.5	1	1	1
130692	Date E01 first reported (iodine-deficiency-related thyroid disorders and allied conditions)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E01. The code corresponds to "iodine-deficiency-related thyroid disorders and allied conditions". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	107	107	347	1	1	1
130693	Source of report of E01 (iodine-deficiency-related thyroid disorders and allied conditions)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E01, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "iodine-deficiency-related thyroid disorders and allied conditions".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	107	107	347.5	1	1	1
130694	Date E02 first reported (subclinical iodine-deficiency hypothyroidism)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E02. The code corresponds to "subclinical iodine-deficiency hypothyroidism". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	234	234	348	1	1	1
130695	Source of report of E02 (subclinical iodine-deficiency hypothyroidism)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E02, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "subclinical iodine-deficiency hypothyroidism".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	234	234	348.5	1	1	1
130696	Date E03 first reported (other hypothyroidism)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E03. The code corresponds to "other hypothyroidism". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	40184	40184	349	1	1	1
130697	Source of report of E03 (other hypothyroidism)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E03, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other hypothyroidism".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	40184	40184	349.5	1	1	1
130698	Date E04 first reported (other non-toxic goitre)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E04. The code corresponds to "other non-toxic goitre". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	5885	5885	350	1	1	1
130699	Source of report of E04 (other non-toxic goitre)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E04, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other non-toxic goitre".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5885	5885	350.5	1	1	1
130700	Date E05 first reported (thyrotoxicosis [hyperthyroidism])	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E05. The code corresponds to "thyrotoxicosis [hyperthyroidism]". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	8799	8799	351	1	1	1
130701	Source of report of E05 (thyrotoxicosis [hyperthyroidism])	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E05, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "thyrotoxicosis [hyperthyroidism]".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	8799	8799	351.5	1	1	1
130702	Date E06 first reported (thyroiditis)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E06. The code corresponds to "thyroiditis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	1487	1487	352	1	1	1
130703	Source of report of E06 (thyroiditis)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E06, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "thyroiditis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1487	1487	352.5	1	1	1
130704	Date E07 first reported (other disorders of thyroid)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E07. The code corresponds to "other disorders of thyroid". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	3157	3157	353	1	1	1
130705	Source of report of E07 (other disorders of thyroid)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E07, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of thyroid".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3157	3157	353.5	1	1	1
130706	Date E10 first reported (insulin-dependent diabetes mellitus)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E10. The code corresponds to "insulin-dependent diabetes mellitus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	5357	5357	354	1	1	1
130707	Source of report of E10 (insulin-dependent diabetes mellitus)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E10, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "insulin-dependent diabetes mellitus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5357	5357	354.5	1	1	1
130708	Date E11 first reported (non-insulin-dependent diabetes mellitus)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E11. The code corresponds to "non-insulin-dependent diabetes mellitus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	46606	46606	355	1	1	1
130709	Source of report of E11 (non-insulin-dependent diabetes mellitus)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E11, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "non-insulin-dependent diabetes mellitus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	46606	46606	355.5	1	1	1
130710	Date E12 first reported (malnutrition-related diabetes mellitus)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E12. The code corresponds to "malnutrition-related diabetes mellitus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	8	8	356	1	1	1
130711	Source of report of E12 (malnutrition-related diabetes mellitus)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E12, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "malnutrition-related diabetes mellitus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	8	8	356.5	1	1	1
130712	Date E13 first reported (other specified diabetes mellitus)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E13. The code corresponds to "other specified diabetes mellitus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	604	604	357	1	1	1
130713	Source of report of E13 (other specified diabetes mellitus)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E13, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other specified diabetes mellitus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	604	604	357.5	1	1	1
130714	Date E14 first reported (unspecified diabetes mellitus)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E14. The code corresponds to "unspecified diabetes mellitus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	26081	26081	358	1	1	1
130715	Source of report of E14 (unspecified diabetes mellitus)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E14, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified diabetes mellitus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	26081	26081	358.5	1	1	1
130716	Date E15 first reported (nondiabetic hypoglycaemic coma)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E15. The code corresponds to "nondiabetic hypoglycaemic coma". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	35	35	359	1	1	1
130717	Source of report of E15 (nondiabetic hypoglycaemic coma)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E15, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "nondiabetic hypoglycaemic coma".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	35	35	359.5	1	1	1
130718	Date E16 first reported (other disorders of pancreatic internal secretion)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E16. The code corresponds to "other disorders of pancreatic internal secretion". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	5167	5167	360	1	1	1
130719	Source of report of E16 (other disorders of pancreatic internal secretion)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E16, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of pancreatic internal secretion".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5167	5167	360.5	1	1	1
130720	Date E20 first reported (hypoparathyroidism)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E20. The code corresponds to "hypoparathyroidism". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	276	276	361	1	1	1
130721	Source of report of E20 (hypoparathyroidism)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E20, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hypoparathyroidism".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	276	276	361.5	1	1	1
130722	Date E21 first reported (hyperparathyroidism and other disorders of parathyroid gland)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E21. The code corresponds to "hyperparathyroidism and other disorders of parathyroid gland". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	2933	2933	362	1	1	1
130723	Source of report of E21 (hyperparathyroidism and other disorders of parathyroid gland)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E21, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hyperparathyroidism and other disorders of parathyroid gland".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	2933	2933	362.5	1	1	1
130724	Date E22 first reported (hyperfunction of pituitary gland)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E22. The code corresponds to "hyperfunction of pituitary gland". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	1305	1305	363	1	1	1
130725	Source of report of E22 (hyperfunction of pituitary gland)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E22, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hyperfunction of pituitary gland".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1305	1305	363.5	1	1	1
130726	Date E23 first reported (hypofunction and other disorders of pituitary gland)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E23. The code corresponds to "hypofunction and other disorders of pituitary gland". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1315	1315	364	1	1	1
130727	Source of report of E23 (hypofunction and other disorders of pituitary gland)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E23, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hypofunction and other disorders of pituitary gland".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1315	1315	364.5	1	1	1
130728	Date E24 first reported (cushing's syndrome)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E24. The code corresponds to "cushing's syndrome". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	244	244	365	1	1	1
130729	Source of report of E24 (cushing's syndrome)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E24, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cushing's syndrome".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	244	244	365.5	1	1	1
130730	Date E25 first reported (adrenogenital disorders)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E25. The code corresponds to "adrenogenital disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	38	38	366	1	1	1
130731	Source of report of E25 (adrenogenital disorders)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E25, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "adrenogenital disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	38	38	366.5	1	1	1
130732	Date E26 first reported (hyperaldosteronism)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E26. The code corresponds to "hyperaldosteronism". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	211	211	367	1	1	1
130733	Source of report of E26 (hyperaldosteronism)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E26, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hyperaldosteronism".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	211	211	367.5	1	1	1
130734	Date E27 first reported (other disorders of adrenal gland)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E27. The code corresponds to "other disorders of adrenal gland". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	1888	1888	368	1	1	1
130735	Source of report of E27 (other disorders of adrenal gland)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E27, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of adrenal gland".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1888	1888	368.5	1	1	1
130736	Date E28 first reported (ovarian dysfunction)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E28. The code corresponds to "ovarian dysfunction". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	2371	2371	369	1	1	1
130737	Source of report of E28 (ovarian dysfunction)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E28, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "ovarian dysfunction".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	2371	2371	369.5	1	1	1
130738	Date E29 first reported (testicular dysfunction)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E29. The code corresponds to "testicular dysfunction". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	653	653	370	1	1	1
130739	Source of report of E29 (testicular dysfunction)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E29, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "testicular dysfunction".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	653	653	370.5	1	1	1
130740	Date E30 first reported (disorders of puberty, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E30. The code corresponds to "disorders of puberty, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	22	22	371	1	1	1
130741	Source of report of E30 (disorders of puberty, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E30, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of puberty, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	22	22	371.5	1	1	1
130742	Date E31 first reported (polyglandular dysfunction)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E31. The code corresponds to "polyglandular dysfunction". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	26	26	372	1	1	1
130743	Source of report of E31 (polyglandular dysfunction)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E31, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "polyglandular dysfunction".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	26	26	372.5	1	1	1
130744	Date E32 first reported (diseases of thymus)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E32. The code corresponds to "diseases of thymus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	52	52	373	1	1	1
130745	Source of report of E32 (diseases of thymus)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E32, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "diseases of thymus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	52	52	373.5	1	1	1
130746	Date E34 first reported (other endocrine disorders)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E34. The code corresponds to "other endocrine disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	449	449	374	1	1	1
130747	Source of report of E34 (other endocrine disorders)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E34, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other endocrine disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	449	449	374.5	1	1	1
130748	Date E35 first reported (disorders of endocrine glands in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E35. The code corresponds to "disorders of endocrine glands in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	4	4	375	1	1	1
130749	Source of report of E35 (disorders of endocrine glands in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E35, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of endocrine glands in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	4	4	375.5	1	1	1
130750	Date E40 first reported (kwashiorkor)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E40. The code corresponds to "kwashiorkor". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	1	1	376	1	1	1
130751	Source of report of E40 (kwashiorkor)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E40, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "kwashiorkor".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	1	1	376.5	1	1	1
130752	Date E41 first reported (nutritional marasmus)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E41. The code corresponds to "nutritional marasmus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	26	26	377	1	1	1
130753	Source of report of E41 (nutritional marasmus)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E41, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "nutritional marasmus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	26	26	377.5	1	1	1
130754	Date E42 first reported (marasmic kwashiorkor)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E42. The code corresponds to "marasmic kwashiorkor". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	378	1	1	1
130755	Source of report of E42 (marasmic kwashiorkor)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E42, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "marasmic kwashiorkor".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	378.5	1	1	1
130756	Date E43 first reported (unspecified severe protein-energy malnutrition)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E43. The code corresponds to "unspecified severe protein-energy malnutrition". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	27	27	379	1	1	1
130757	Source of report of E43 (unspecified severe protein-energy malnutrition)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E43, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified severe protein-energy malnutrition".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	27	27	379.5	1	1	1
130758	Date E44 first reported (protein-energy malnutrition of moderate and mild degree)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E44. The code corresponds to "protein-energy malnutrition of moderate and mild degree". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	7	7	380	1	1	1
130759	Source of report of E44 (protein-energy malnutrition of moderate and mild degree)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E44, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "protein-energy malnutrition of moderate and mild degree".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	7	7	380.5	1	1	1
130760	Date E45 first reported (retarded development following protein-energy malnutrition)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E45. The code corresponds to "retarded development following protein-energy malnutrition". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	381	1	1	1
130761	Source of report of E45 (retarded development following protein-energy malnutrition)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E45, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "retarded development following protein-energy malnutrition".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	381.5	1	1	1
130762	Date E46 first reported (unspecified protein-energy malnutrition)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E46. The code corresponds to "unspecified protein-energy malnutrition". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	695	695	382	1	1	1
130763	Source of report of E46 (unspecified protein-energy malnutrition)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E46, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified protein-energy malnutrition".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	695	695	382.5	1	1	1
130764	Date E50 first reported (vitamin a deficiency)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E50. The code corresponds to "vitamin a deficiency". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	14	14	383	1	1	1
130765	Source of report of E50 (vitamin a deficiency)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E50, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "vitamin a deficiency".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	14	14	383.5	1	1	1
130766	Date E51 first reported (thiamine deficiency)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E51. The code corresponds to "thiamine deficiency". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	79	79	384	1	1	1
130767	Source of report of E51 (thiamine deficiency)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E51, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "thiamine deficiency".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	79	79	384.5	1	1	1
130768	Date E52 first reported (niacin deficiency [pellagra])	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E52. The code corresponds to "niacin deficiency [pellagra]". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	6	6	385	1	1	1
130769	Source of report of E52 (niacin deficiency [pellagra])	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E52, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "niacin deficiency [pellagra]".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	6	6	385.5	1	1	1
130770	Date E53 first reported (deficiency of other b group vitamins)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E53. The code corresponds to "deficiency of other b group vitamins". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	5224	5224	386	1	1	1
130771	Source of report of E53 (deficiency of other b group vitamins)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E53, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "deficiency of other b group vitamins".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5224	5224	386.5	1	1	1
130772	Date E54 first reported (ascorbic acid deficiency)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E54. The code corresponds to "ascorbic acid deficiency". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	23	23	387	1	1	1
130773	Source of report of E54 (ascorbic acid deficiency)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E54, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "ascorbic acid deficiency".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	23	23	387.5	1	1	1
130774	Date E55 first reported (vitamin d deficiency)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E55. The code corresponds to "vitamin d deficiency". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	7318	7318	388	1	1	1
130775	Source of report of E55 (vitamin d deficiency)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E55, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "vitamin d deficiency".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	7318	7318	388.5	1	1	1
130776	Date E56 first reported (other vitamin deficiencies)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E56. The code corresponds to "other vitamin deficiencies". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	337	337	389	1	1	1
130777	Source of report of E56 (other vitamin deficiencies)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E56, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other vitamin deficiencies".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	337	337	389.5	1	1	1
130778	Date E58 first reported (dietary calcium deficiency)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E58. The code corresponds to "dietary calcium deficiency". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	58	58	390	1	1	1
130779	Source of report of E58 (dietary calcium deficiency)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E58, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "dietary calcium deficiency".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	58	58	390.5	1	1	1
130780	Date E59 first reported (dietary selenium deficiency)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E59. The code corresponds to "dietary selenium deficiency". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	3	3	391	1	1	1
130781	Source of report of E59 (dietary selenium deficiency)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E59, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "dietary selenium deficiency".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	3	3	391.5	1	1	1
130782	Date E60 first reported (dietary zinc deficiency)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E60. The code corresponds to "dietary zinc deficiency". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	26	26	392	1	1	1
130783	Source of report of E60 (dietary zinc deficiency)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E60, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "dietary zinc deficiency".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	26	26	392.5	1	1	1
130784	Date E61 first reported (deficiency of other nutrient elements)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E61. The code corresponds to "deficiency of other nutrient elements". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1763	1763	393	1	1	1
130785	Source of report of E61 (deficiency of other nutrient elements)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E61, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "deficiency of other nutrient elements".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1763	1763	393.5	1	1	1
130786	Date E63 first reported (other nutritional deficiencies)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E63. The code corresponds to "other nutritional deficiencies". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	73	73	394	1	1	1
130787	Source of report of E63 (other nutritional deficiencies)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E63, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other nutritional deficiencies".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	73	73	394.5	1	1	1
130788	Date E64 first reported (sequelae of malnutrition and other nutritional deficiencies)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E64. The code corresponds to "sequelae of malnutrition and other nutritional deficiencies". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	8	8	395	1	1	1
130789	Source of report of E64 (sequelae of malnutrition and other nutritional deficiencies)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E64, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "sequelae of malnutrition and other nutritional deficiencies".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	8	8	395.5	1	1	1
130790	Date E65 first reported (localised adiposity)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E65. The code corresponds to "localised adiposity". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	142	142	396	1	1	1
130791	Source of report of E65 (localised adiposity)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E65, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "localised adiposity".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	142	142	396.5	1	1	1
130792	Date E66 first reported (obesity)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E66. The code corresponds to "obesity". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	52878	52878	397	1	1	1
130793	Source of report of E66 (obesity)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E66, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "obesity".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	52878	52878	397.5	1	1	1
130794	Date E67 first reported (other hyperalimentation)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E67. The code corresponds to "other hyperalimentation". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	11	11	398	1	1	1
130795	Source of report of E67 (other hyperalimentation)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E67, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other hyperalimentation".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	11	11	398.5	1	1	1
130796	Date E68 first reported (sequelae of hyperalimentation)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E68. The code corresponds to "sequelae of hyperalimentation". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	2	2	399	1	1	1
130797	Source of report of E68 (sequelae of hyperalimentation)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E68, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "sequelae of hyperalimentation".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	2	2	399.5	1	1	1
130798	Date E70 first reported (disorders of aromatic amino-acid metabolism)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E70. The code corresponds to "disorders of aromatic amino-acid metabolism". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	68	68	400	1	1	1
130799	Source of report of E70 (disorders of aromatic amino-acid metabolism)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E70, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of aromatic amino-acid metabolism".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	68	68	400.5	1	1	1
130800	Date E71 first reported (disorders of branched-chain amino-acid metabolism and fatty-acid metabolism)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E71. The code corresponds to "disorders of branched-chain amino-acid metabolism and fatty-acid metabolism". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	17	17	401	1	1	1
130801	Source of report of E71 (disorders of branched-chain amino-acid metabolism and fatty-acid metabolism)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E71, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of branched-chain amino-acid metabolism and fatty-acid metabolism".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	17	17	401.5	1	1	1
130802	Date E72 first reported (other disorders of amino-acid metabolism)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E72. The code corresponds to "other disorders of amino-acid metabolism". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	111	111	402	1	1	1
130803	Source of report of E72 (other disorders of amino-acid metabolism)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E72, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of amino-acid metabolism".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	111	111	402.5	1	1	1
130804	Date E73 first reported (lactose intolerance)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E73. The code corresponds to "lactose intolerance". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	591	591	403	1	1	1
130805	Source of report of E73 (lactose intolerance)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E73, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "lactose intolerance".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	591	591	403.5	1	1	1
130806	Date E74 first reported (other disorders of carbohydrate metabolism)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E74. The code corresponds to "other disorders of carbohydrate metabolism". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	453	453	404	1	1	1
130807	Source of report of E74 (other disorders of carbohydrate metabolism)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E74, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of carbohydrate metabolism".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	453	453	404.5	1	1	1
130808	Date E75 first reported (disorders of sphingolipid metabolism and other lipid storage disorders)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E75. The code corresponds to "disorders of sphingolipid metabolism and other lipid storage disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	136	136	405	1	1	1
130809	Source of report of E75 (disorders of sphingolipid metabolism and other lipid storage disorders)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E75, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of sphingolipid metabolism and other lipid storage disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	136	136	405.5	1	1	1
130810	Date E76 first reported (disorders of glycosaminoglycan metabolism)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E76. The code corresponds to "disorders of glycosaminoglycan metabolism". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	10	10	406	1	1	1
130811	Source of report of E76 (disorders of glycosaminoglycan metabolism)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E76, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of glycosaminoglycan metabolism".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	10	10	406.5	1	1	1
130812	Date E77 first reported (disorders of glycoprotein metabolism)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E77. The code corresponds to "disorders of glycoprotein metabolism". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	28	28	407	1	1	1
130813	Source of report of E77 (disorders of glycoprotein metabolism)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E77, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of glycoprotein metabolism".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	28	28	407.5	1	1	1
130814	Date E78 first reported (disorders of lipoprotein metabolism and other lipidaemias)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E78. The code corresponds to "disorders of lipoprotein metabolism and other lipidaemias". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	126607	126607	408	1	1	1
130815	Source of report of E78 (disorders of lipoprotein metabolism and other lipidaemias)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E78, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of lipoprotein metabolism and other lipidaemias".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	126607	126607	408.5	1	1	1
130816	Date E79 first reported (disorders of purine and pyrimidine metabolism)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E79. The code corresponds to "disorders of purine and pyrimidine metabolism". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	560	560	409	1	1	1
130817	Source of report of E79 (disorders of purine and pyrimidine metabolism)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E79, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of purine and pyrimidine metabolism".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	560	560	409.5	1	1	1
130818	Date E80 first reported (disorders of porphyrin and bilirubin metabolism)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E80. The code corresponds to "disorders of porphyrin and bilirubin metabolism". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	1963	1963	410	1	1	1
130819	Source of report of E80 (disorders of porphyrin and bilirubin metabolism)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E80, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of porphyrin and bilirubin metabolism".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1963	1963	410.5	1	1	1
130820	Date E83 first reported (disorders of mineral metabolism)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E83. The code corresponds to "disorders of mineral metabolism". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	10983	10983	411	1	1	1
130821	Source of report of E83 (disorders of mineral metabolism)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E83, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of mineral metabolism".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	10983	10983	411.5	1	1	1
130822	Date E84 first reported (cystic fibrosis)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E84. The code corresponds to "cystic fibrosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	148	148	412	1	1	1
130823	Source of report of E84 (cystic fibrosis)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E84, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cystic fibrosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	148	148	412.5	1	1	1
130824	Date E85 first reported (amyloidosis)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E85. The code corresponds to "amyloidosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	576	576	413	1	1	1
130825	Source of report of E85 (amyloidosis)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E85, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "amyloidosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	576	576	413.5	1	1	1
130826	Date E86 first reported (volume depletion)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E86. The code corresponds to "volume depletion". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	12804	12804	414	1	1	1
130827	Source of report of E86 (volume depletion)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E86, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "volume depletion".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	12804	12804	414.5	1	1	1
130828	Date E87 first reported (other disorders of fluid, electrolyte and acid-base balance)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E87. The code corresponds to "other disorders of fluid, electrolyte and acid-base balance". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	28818	28818	415	1	1	1
130829	Source of report of E87 (other disorders of fluid, electrolyte and acid-base balance)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E87, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of fluid, electrolyte and acid-base balance".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	28818	28818	415.5	1	1	1
130830	Date E88 first reported (other metabolic disorders)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E88. The code corresponds to "other metabolic disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	1859	1859	416	1	1	1
130831	Source of report of E88 (other metabolic disorders)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E88, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other metabolic disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1859	1859	416.5	1	1	1
130832	Date E89 first reported (postprocedural endocrine and metabolic disorders, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E89. The code corresponds to "postprocedural endocrine and metabolic disorders, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	3760	3760	417	1	1	1
130833	Source of report of E89 (postprocedural endocrine and metabolic disorders, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E89, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "postprocedural endocrine and metabolic disorders, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3760	3760	417.5	1	1	1
130834	Date E90 first reported (nutritional and metabolic disorders in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2404	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 E90. The code corresponds to "nutritional and metabolic disorders in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	418	1	1	1
130835	Source of report of E90 (nutritional and metabolic disorders in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2404	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 E90, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "nutritional and metabolic disorders in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	418.5	1	1	1
130836	Date F00 first reported (dementia in alzheimer's disease)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F00. The code corresponds to "dementia in alzheimer's disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	3127	3127	419	1	1	1
130837	Source of report of F00 (dementia in alzheimer's disease)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F00, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "dementia in alzheimer's disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	3127	3127	419.5	1	1	1
130838	Date F01 first reported (vascular dementia)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F01. The code corresponds to "vascular dementia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	2181	2181	420	1	1	1
130839	Source of report of F01 (vascular dementia)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F01, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "vascular dementia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2181	2181	420.5	1	1	1
130840	Date F02 first reported (dementia in other diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F02. The code corresponds to "dementia in other diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	1138	1138	421	1	1	1
130841	Source of report of F02 (dementia in other diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F02, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "dementia in other diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1138	1138	421.5	1	1	1
130842	Date F03 first reported (unspecified dementia)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F03. The code corresponds to "unspecified dementia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	5232	5232	422	1	1	1
130843	Source of report of F03 (unspecified dementia)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F03, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified dementia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5232	5232	422.5	1	1	1
130844	Date F04 first reported (organic amnesic syndrome, not induced by alcohol and other psychoactive substances)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F04. The code corresponds to "organic amnesic syndrome, not induced by alcohol and other psychoactive substances". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	26	26	423	1	1	1
130845	Source of report of F04 (organic amnesic syndrome, not induced by alcohol and other psychoactive substances)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F04, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "organic amnesic syndrome, not induced by alcohol and other psychoactive substances".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	26	26	423.5	1	1	1
130846	Date F05 first reported (delirium, not induced by alcohol and other psychoactive substances)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F05. The code corresponds to "delirium, not induced by alcohol and other psychoactive substances". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	8850	8850	424	1	1	1
130847	Source of report of F05 (delirium, not induced by alcohol and other psychoactive substances)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F05, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "delirium, not induced by alcohol and other psychoactive substances".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	8850	8850	424.5	1	1	1
130848	Date F06 first reported (other mental disorders due to brain damage and dysfunction and to physical disease)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F06. The code corresponds to "other mental disorders due to brain damage and dysfunction and to physical disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1701	1701	425	1	1	1
130849	Source of report of F06 (other mental disorders due to brain damage and dysfunction and to physical disease)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F06, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other mental disorders due to brain damage and dysfunction and to physical disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1701	1701	425.5	1	1	1
130850	Date F07 first reported (personality and behavioural disorders due to brain disease, damage and dysfunction)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F07. The code corresponds to "personality and behavioural disorders due to brain disease, damage and dysfunction". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	245	245	426	1	1	1
130851	Source of report of F07 (personality and behavioural disorders due to brain disease, damage and dysfunction)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F07, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "personality and behavioural disorders due to brain disease, damage and dysfunction".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	245	245	426.5	1	1	1
130852	Date F09 first reported (unspecified organic or symptomatic mental disorder)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F09. The code corresponds to "unspecified organic or symptomatic mental disorder". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	512	512	427	1	1	1
130853	Source of report of F09 (unspecified organic or symptomatic mental disorder)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F09, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified organic or symptomatic mental disorder".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	512	512	427.5	1	1	1
130854	Date F10 first reported (mental and behavioural disorders due to use of alcohol)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F10. The code corresponds to "mental and behavioural disorders due to use of alcohol". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	13389	13389	428	1	1	1
130855	Source of report of F10 (mental and behavioural disorders due to use of alcohol)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F10, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "mental and behavioural disorders due to use of alcohol".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	13389	13389	428.5	1	1	1
130856	Date F11 first reported (mental and behavioural disorders due to use of opioids)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F11. The code corresponds to "mental and behavioural disorders due to use of opioids". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	343	343	429	1	1	1
130857	Source of report of F11 (mental and behavioural disorders due to use of opioids)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F11, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "mental and behavioural disorders due to use of opioids".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	343	343	429.5	1	1	1
130858	Date F12 first reported (mental and behavioural disorders due to use of cannabinoids)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F12. The code corresponds to "mental and behavioural disorders due to use of cannabinoids". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	454	454	430	1	1	1
130859	Source of report of F12 (mental and behavioural disorders due to use of cannabinoids)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F12, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "mental and behavioural disorders due to use of cannabinoids".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	454	454	430.5	1	1	1
130860	Date F13 first reported (mental and behavioural disorders due to use of sedatives or hypnotics)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F13. The code corresponds to "mental and behavioural disorders due to use of sedatives or hypnotics". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	283	283	431	1	1	1
130861	Source of report of F13 (mental and behavioural disorders due to use of sedatives or hypnotics)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F13, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "mental and behavioural disorders due to use of sedatives or hypnotics".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	283	283	431.5	1	1	1
130862	Date F14 first reported (mental and behavioural disorders due to use of cocaine)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F14. The code corresponds to "mental and behavioural disorders due to use of cocaine". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	82	82	432	1	1	1
130863	Source of report of F14 (mental and behavioural disorders due to use of cocaine)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F14, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "mental and behavioural disorders due to use of cocaine".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	82	82	432.5	1	1	1
130864	Date F15 first reported (mental and behavioural disorders due to use of other stimulants, including caffeine)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F15. The code corresponds to "mental and behavioural disorders due to use of other stimulants, including caffeine". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	87	87	433	1	1	1
130865	Source of report of F15 (mental and behavioural disorders due to use of other stimulants, including caffeine)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F15, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "mental and behavioural disorders due to use of other stimulants, including caffeine".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	87	87	433.5	1	1	1
130866	Date F16 first reported (mental and behavioural disorders due to use of hallucinogens)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F16. The code corresponds to "mental and behavioural disorders due to use of hallucinogens". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	39	39	434	1	1	1
130867	Source of report of F16 (mental and behavioural disorders due to use of hallucinogens)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F16, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "mental and behavioural disorders due to use of hallucinogens".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	39	39	434.5	1	1	1
130868	Date F17 first reported (mental and behavioural disorders due to use of tobacco)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F17. The code corresponds to "mental and behavioural disorders due to use of tobacco". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	45301	45301	435	1	1	1
130869	Source of report of F17 (mental and behavioural disorders due to use of tobacco)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F17, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "mental and behavioural disorders due to use of tobacco".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	45301	45301	435.5	1	1	1
130870	Date F18 first reported (mental and behavioural disorders due to use of volatile solvents)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F18. The code corresponds to "mental and behavioural disorders due to use of volatile solvents". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	10	10	436	1	1	1
130871	Source of report of F18 (mental and behavioural disorders due to use of volatile solvents)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F18, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "mental and behavioural disorders due to use of volatile solvents".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	10	10	436.5	1	1	1
130872	Date F19 first reported (mental and behavioural disorders due to multiple drug use and use of other psychoactive substances)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F19. The code corresponds to "mental and behavioural disorders due to multiple drug use and use of other psychoactive substances". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	371	371	437	1	1	1
130873	Source of report of F19 (mental and behavioural disorders due to multiple drug use and use of other psychoactive substances)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F19, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "mental and behavioural disorders due to multiple drug use and use of other psychoactive substances".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	371	371	437.5	1	1	1
130874	Date F20 first reported (schizophrenia)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F20. The code corresponds to "schizophrenia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1435	1435	438	1	1	1
130875	Source of report of F20 (schizophrenia)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F20, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "schizophrenia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1435	1435	438.5	1	1	1
130876	Date F21 first reported (schizotypal disorder)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F21. The code corresponds to "schizotypal disorder". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	27	27	439	1	1	1
130877	Source of report of F21 (schizotypal disorder)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F21, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "schizotypal disorder".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	27	27	439.5	1	1	1
130878	Date F22 first reported (persistent delusional disorders)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F22. The code corresponds to "persistent delusional disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	695	695	440	1	1	1
130879	Source of report of F22 (persistent delusional disorders)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F22, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "persistent delusional disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	695	695	440.5	1	1	1
130880	Date F23 first reported (acute and transient psychotic disorders)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F23. The code corresponds to "acute and transient psychotic disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	341	341	441	1	1	1
130881	Source of report of F23 (acute and transient psychotic disorders)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F23, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acute and transient psychotic disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	341	341	441.5	1	1	1
130882	Date F24 first reported (induced delusional disorder)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F24. The code corresponds to "induced delusional disorder". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	5	5	442	1	1	1
130883	Source of report of F24 (induced delusional disorder)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F24, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "induced delusional disorder".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	5	5	442.5	1	1	1
130884	Date F25 first reported (schizoaffective disorders)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F25. The code corresponds to "schizoaffective disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	368	368	443	1	1	1
130885	Source of report of F25 (schizoaffective disorders)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F25, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "schizoaffective disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	368	368	443.5	1	1	1
130886	Date F28 first reported (other nonorganic psychotic disorders)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F28. The code corresponds to "other nonorganic psychotic disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	17	17	444	1	1	1
130887	Source of report of F28 (other nonorganic psychotic disorders)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F28, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other nonorganic psychotic disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	17	17	444.5	1	1	1
130888	Date F29 first reported (unspecified nonorganic psychosis)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F29. The code corresponds to "unspecified nonorganic psychosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	677	677	445	1	1	1
130889	Source of report of F29 (unspecified nonorganic psychosis)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F29, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified nonorganic psychosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	677	677	445.5	1	1	1
130890	Date F30 first reported (manic episode)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F30. The code corresponds to "manic episode". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	521	521	446	1	1	1
130891	Source of report of F30 (manic episode)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F30, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "manic episode".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	521	521	446.5	1	1	1
130892	Date F31 first reported (bipolar affective disorder)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F31. The code corresponds to "bipolar affective disorder". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	2616	2616	447	1	1	1
130893	Source of report of F31 (bipolar affective disorder)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F31, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "bipolar affective disorder".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2616	2616	447.5	1	1	1
130894	Date F32 first reported (depressive episode)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F32. The code corresponds to "depressive episode". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	62384	62384	448	1	1	1
130895	Source of report of F32 (depressive episode)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F32, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "depressive episode".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	62384	62384	448.5	1	1	1
130896	Date F33 first reported (recurrent depressive disorder)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F33. The code corresponds to "recurrent depressive disorder". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	3890	3890	449	1	1	1
130897	Source of report of F33 (recurrent depressive disorder)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F33, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "recurrent depressive disorder".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3890	3890	449.5	1	1	1
130898	Date F34 first reported (persistent mood [affective] disorders)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F34. The code corresponds to "persistent mood [affective] disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	928	928	450	1	1	1
130899	Source of report of F34 (persistent mood [affective] disorders)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F34, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "persistent mood [affective] disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	928	928	450.5	1	1	1
130900	Date F38 first reported (other mood [affective] disorders)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F38. The code corresponds to "other mood [affective] disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	176	176	451	1	1	1
130901	Source of report of F38 (other mood [affective] disorders)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F38, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other mood [affective] disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	176	176	451.5	1	1	1
130902	Date F39 first reported (unspecified mood [affective] disorder)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F39. The code corresponds to "unspecified mood [affective] disorder". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1006	1006	452	1	1	1
130903	Source of report of F39 (unspecified mood [affective] disorder)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F39, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified mood [affective] disorder".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1006	1006	452.5	1	1	1
130904	Date F40 first reported (phobic anxiety disorders)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F40. The code corresponds to "phobic anxiety disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	4466	4466	453	1	1	1
130905	Source of report of F40 (phobic anxiety disorders)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F40, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "phobic anxiety disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	4466	4466	453.5	1	1	1
130906	Date F41 first reported (other anxiety disorders)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F41. The code corresponds to "other anxiety disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	41250	41250	454	1	1	1
130907	Source of report of F41 (other anxiety disorders)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F41, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other anxiety disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	41250	41250	454.5	1	1	1
130908	Date F42 first reported (obsessive-compulsive disorder)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F42. The code corresponds to "obsessive-compulsive disorder". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	948	948	455	1	1	1
130909	Source of report of F42 (obsessive-compulsive disorder)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F42, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "obsessive-compulsive disorder".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	948	948	455.5	1	1	1
130910	Date F43 first reported (reaction to severe stress, and adjustment disorders)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F43. The code corresponds to "reaction to severe stress, and adjustment disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	14921	14921	456	1	1	1
130911	Source of report of F43 (reaction to severe stress, and adjustment disorders)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F43, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "reaction to severe stress, and adjustment disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	14921	14921	456.5	1	1	1
130912	Date F44 first reported (dissociative [conversion] disorders)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F44. The code corresponds to "dissociative [conversion] disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	406	406	457	1	1	1
130913	Source of report of F44 (dissociative [conversion] disorders)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F44, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "dissociative [conversion] disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	406	406	457.5	1	1	1
130914	Date F45 first reported (somatoform disorders)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F45. The code corresponds to "somatoform disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	3135	3135	458	1	1	1
130915	Source of report of F45 (somatoform disorders)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F45, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "somatoform disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3135	3135	458.5	1	1	1
130916	Date F48 first reported (other neurotic disorders)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F48. The code corresponds to "other neurotic disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1161	1161	459	1	1	1
130917	Source of report of F48 (other neurotic disorders)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F48, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other neurotic disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1161	1161	459.5	1	1	1
130918	Date F50 first reported (eating disorders)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F50. The code corresponds to "eating disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	980	980	460	1	1	1
130919	Source of report of F50 (eating disorders)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F50, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "eating disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	980	980	460.5	1	1	1
130920	Date F51 first reported (nonorganic sleep disorders)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F51. The code corresponds to "nonorganic sleep disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	610	610	461	1	1	1
130921	Source of report of F51 (nonorganic sleep disorders)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F51, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "nonorganic sleep disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	610	610	461.5	1	1	1
130922	Date F52 first reported (sexual dysfunction, not caused by organic disorder or disease)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F52. The code corresponds to "sexual dysfunction, not caused by organic disorder or disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2594	2594	462	1	1	1
130923	Source of report of F52 (sexual dysfunction, not caused by organic disorder or disease)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F52, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "sexual dysfunction, not caused by organic disorder or disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2594	2594	462.5	1	1	1
130924	Date F53 first reported (mental and behavioural disorders associated with the puerperium, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F53. The code corresponds to "mental and behavioural disorders associated with the puerperium, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	1333	1333	463	1	1	1
130925	Source of report of F53 (mental and behavioural disorders associated with the puerperium, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F53, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "mental and behavioural disorders associated with the puerperium, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	1333	1333	463.5	1	1	1
130926	Date F54 first reported (psychological and behavioural factors associated with disorders or diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F54. The code corresponds to "psychological and behavioural factors associated with disorders or diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	14	14	464	1	1	1
130927	Source of report of F54 (psychological and behavioural factors associated with disorders or diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F54, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "psychological and behavioural factors associated with disorders or diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	14	14	464.5	1	1	1
130928	Date F55 first reported (abuse of non-dependence-producing substances)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F55. The code corresponds to "abuse of non-dependence-producing substances". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-01-25T00:00:00	29	29	465	1	1	1
130929	Source of report of F55 (abuse of non-dependence-producing substances)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F55, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "abuse of non-dependence-producing substances".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-01-25T00:00:00	29	29	465.5	1	1	1
130930	Date F59 first reported (unspecified behavioural syndromes associated with physiological disturbances and physical factors)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F59. The code corresponds to "unspecified behavioural syndromes associated with physiological disturbances and physical factors". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-01-25T00:00:00	5	5	466	1	1	1
130931	Source of report of F59 (unspecified behavioural syndromes associated with physiological disturbances and physical factors)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F59, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified behavioural syndromes associated with physiological disturbances and physical factors".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-01-25T00:00:00	5	5	466.5	1	1	1
130932	Date F60 first reported (specific personality disorders)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F60. The code corresponds to "specific personality disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	882	882	467	1	1	1
130933	Source of report of F60 (specific personality disorders)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F60, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "specific personality disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	882	882	467.5	1	1	1
130934	Date F61 first reported (mixed and other personality disorders)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F61. The code corresponds to "mixed and other personality disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	41	41	468	1	1	1
130935	Source of report of F61 (mixed and other personality disorders)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F61, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "mixed and other personality disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	41	41	468.5	1	1	1
130936	Date F62 first reported (enduring personality changes, not attributable to brain damage and disease)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F62. The code corresponds to "enduring personality changes, not attributable to brain damage and disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	49	49	469	1	1	1
130937	Source of report of F62 (enduring personality changes, not attributable to brain damage and disease)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F62, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "enduring personality changes, not attributable to brain damage and disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	49	49	469.5	1	1	1
130938	Date F63 first reported (habit and impulse disorders)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F63. The code corresponds to "habit and impulse disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	61	61	470	1	1	1
130939	Source of report of F63 (habit and impulse disorders)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F63, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "habit and impulse disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	61	61	470.5	1	1	1
130940	Date F64 first reported (gender identity disorders)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F64. The code corresponds to "gender identity disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	90	90	471	1	1	1
130941	Source of report of F64 (gender identity disorders)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F64, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "gender identity disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	90	90	471.5	1	1	1
130942	Date F65 first reported (disorders of sexual preference)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F65. The code corresponds to "disorders of sexual preference". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	31	31	472	1	1	1
130943	Source of report of F65 (disorders of sexual preference)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F65, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of sexual preference".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	31	31	472.5	1	1	1
130944	Date F66 first reported (psychological and behavioural disorders associated with sexual development and orientation)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F66. The code corresponds to "psychological and behavioural disorders associated with sexual development and orientation". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	382	382	473	1	1	1
130945	Source of report of F66 (psychological and behavioural disorders associated with sexual development and orientation)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F66, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "psychological and behavioural disorders associated with sexual development and orientation".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	382	382	473.5	1	1	1
130946	Date F68 first reported (other disorders of adult personality and behaviour)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F68. The code corresponds to "other disorders of adult personality and behaviour". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-01-25T00:00:00	22	22	474	1	1	1
130947	Source of report of F68 (other disorders of adult personality and behaviour)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F68, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of adult personality and behaviour".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-01-25T00:00:00	22	22	474.5	1	1	1
130948	Date F69 first reported (unspecified disorder of adult personality and behaviour)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F69. The code corresponds to "unspecified disorder of adult personality and behaviour". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	166	166	475	1	1	1
130949	Source of report of F69 (unspecified disorder of adult personality and behaviour)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F69, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified disorder of adult personality and behaviour".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	166	166	475.5	1	1	1
130950	Date F70 first reported (mild mental retardation)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F70. The code corresponds to "mild mental retardation". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	76	76	476	1	1	1
130951	Source of report of F70 (mild mental retardation)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F70, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "mild mental retardation".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	76	76	476.5	1	1	1
130952	Date F71 first reported (moderate mental retardation)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F71. The code corresponds to "moderate mental retardation". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	14	14	477	1	1	1
130953	Source of report of F71 (moderate mental retardation)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F71, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "moderate mental retardation".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	14	14	477.5	1	1	1
130954	Date F72 first reported (severe mental retardation)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F72. The code corresponds to "severe mental retardation". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	3	3	478	1	1	1
130955	Source of report of F72 (severe mental retardation)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F72, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "severe mental retardation".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	3	3	478.5	1	1	1
130956	Date F73 first reported (profound mental retardation)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F73. The code corresponds to "profound mental retardation". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	479	1	1	1
130957	Source of report of F73 (profound mental retardation)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F73, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "profound mental retardation".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	479.5	1	1	1
130958	Date F78 first reported (other mental retardation)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F78. The code corresponds to "other mental retardation". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	3	3	480	1	1	1
130959	Source of report of F78 (other mental retardation)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F78, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other mental retardation".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	3	3	480.5	1	1	1
130960	Date F79 first reported (unspecified mental retardation)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F79. The code corresponds to "unspecified mental retardation". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	190	190	481	1	1	1
130961	Source of report of F79 (unspecified mental retardation)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F79, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified mental retardation".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	190	190	481.5	1	1	1
130962	Date F80 first reported (specific developmental disorders of speech and language)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F80. The code corresponds to "specific developmental disorders of speech and language". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	348	348	482	1	1	1
130963	Source of report of F80 (specific developmental disorders of speech and language)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F80, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "specific developmental disorders of speech and language".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	348	348	482.5	1	1	1
130964	Date F81 first reported (specific developmental disorders of scholastic skills)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F81. The code corresponds to "specific developmental disorders of scholastic skills". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	494	494	483	1	1	1
130965	Source of report of F81 (specific developmental disorders of scholastic skills)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F81, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "specific developmental disorders of scholastic skills".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	494	494	483.5	1	1	1
130966	Date F82 first reported (specific developmental disorder of motor function)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F82. The code corresponds to "specific developmental disorder of motor function". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	20	20	484	1	1	1
130967	Source of report of F82 (specific developmental disorder of motor function)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F82, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "specific developmental disorder of motor function".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	20	20	484.5	1	1	1
130968	Date F83 first reported (mixed specific developmental disorders)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F83. The code corresponds to "mixed specific developmental disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	4	4	485	1	1	1
130969	Source of report of F83 (mixed specific developmental disorders)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F83, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "mixed specific developmental disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	4	4	485.5	1	1	1
130970	Date F84 first reported (pervasive developmental disorders)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F84. The code corresponds to "pervasive developmental disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	330	330	486	1	1	1
130971	Source of report of F84 (pervasive developmental disorders)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F84, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pervasive developmental disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	330	330	486.5	1	1	1
130972	Date F88 first reported (other disorders of psychological development)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F88. The code corresponds to "other disorders of psychological development". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	3	3	487	1	1	1
130973	Source of report of F88 (other disorders of psychological development)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F88, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of psychological development".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	3	3	487.5	1	1	1
130974	Date F89 first reported (unspecified disorder of psychological development)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F89. The code corresponds to "unspecified disorder of psychological development". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	11	11	488	1	1	1
130975	Source of report of F89 (unspecified disorder of psychological development)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F89, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified disorder of psychological development".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	11	11	488.5	1	1	1
130976	Date F90 first reported (hyperkinetic disorders)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F90. The code corresponds to "hyperkinetic disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	80	80	489	1	1	1
130977	Source of report of F90 (hyperkinetic disorders)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F90, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hyperkinetic disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	80	80	489.5	1	1	1
130978	Date F91 first reported (conduct disorders)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F91. The code corresponds to "conduct disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	154	154	490	1	1	1
130979	Source of report of F91 (conduct disorders)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F91, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "conduct disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	154	154	490.5	1	1	1
130980	Date F92 first reported (mixed disorders of conduct and emotions)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F92. The code corresponds to "mixed disorders of conduct and emotions". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	8	8	491	1	1	1
130981	Source of report of F92 (mixed disorders of conduct and emotions)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F92, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "mixed disorders of conduct and emotions".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	8	8	491.5	1	1	1
130982	Date F93 first reported (emotional disorders with onset specific to childhood)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F93. The code corresponds to "emotional disorders with onset specific to childhood". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-01-25T00:00:00	24	24	492	1	1	1
130983	Source of report of F93 (emotional disorders with onset specific to childhood)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F93, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "emotional disorders with onset specific to childhood".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-01-25T00:00:00	24	24	492.5	1	1	1
130984	Date F94 first reported (disorders of social functioning with onset specific to childhood and adolescence)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F94. The code corresponds to "disorders of social functioning with onset specific to childhood and adolescence". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	3	3	493	1	1	1
130985	Source of report of F94 (disorders of social functioning with onset specific to childhood and adolescence)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F94, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of social functioning with onset specific to childhood and adolescence".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	3	3	493.5	1	1	1
130986	Date F95 first reported (tic disorders)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F95. The code corresponds to "tic disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	49	49	494	1	1	1
130987	Source of report of F95 (tic disorders)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F95, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "tic disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	49	49	494.5	1	1	1
130988	Date F98 first reported (other behavioural and emotional disorders with onset usually occurring in childhood and adolescence)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F98. The code corresponds to "other behavioural and emotional disorders with onset usually occurring in childhood and adolescence". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	180	180	495	1	1	1
130989	Source of report of F98 (other behavioural and emotional disorders with onset usually occurring in childhood and adolescence)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F98, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other behavioural and emotional disorders with onset usually occurring in childhood and adolescence".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	180	180	495.5	1	1	1
130990	Date F99 first reported (mental disorder, not otherwise specified)	0	3	0	51	0	0	3	0	0	0		2405	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 F99. The code corresponds to "mental disorder, not otherwise specified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	480	480	496	1	1	1
130991	Source of report of F99 (mental disorder, not otherwise specified)	0	3	0	21	11	0	3	0	0	0		2405	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 F99, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "mental disorder, not otherwise specified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	480	480	496.5	1	1	1
130992	Date G00 first reported (bacterial meningitis, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G00. The code corresponds to "bacterial meningitis, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	240	240	497	1	1	1
130993	Source of report of G00 (bacterial meningitis, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G00, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "bacterial meningitis, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	240	240	497.5	1	1	1
130994	Date G01 first reported (meningitis in bacterial diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G01. The code corresponds to "meningitis in bacterial diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	63	63	498	1	1	1
130995	Source of report of G01 (meningitis in bacterial diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G01, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "meningitis in bacterial diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	63	63	498.5	1	1	1
130996	Date G02 first reported (meningitis in other infectious and parasitic diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G02. The code corresponds to "meningitis in other infectious and parasitic diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	100	100	499	1	1	1
130997	Source of report of G02 (meningitis in other infectious and parasitic diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G02, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "meningitis in other infectious and parasitic diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	100	100	499.5	1	1	1
130998	Date G03 first reported (meningitis due to other and unspecified causes)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G03. The code corresponds to "meningitis due to other and unspecified causes". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	2450	2450	500	1	1	1
130999	Source of report of G03 (meningitis due to other and unspecified causes)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G03, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "meningitis due to other and unspecified causes".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2450	2450	500.5	1	1	1
131000	Date G04 first reported (encephalitis, myelitis and encephalomyelitis)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G04. The code corresponds to "encephalitis, myelitis and encephalomyelitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	914	914	501	1	1	1
131001	Source of report of G04 (encephalitis, myelitis and encephalomyelitis)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G04, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "encephalitis, myelitis and encephalomyelitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	914	914	501.5	1	1	1
131002	Date G05 first reported (encephalitis, myelitis and encephalomyelitis in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G05. The code corresponds to "encephalitis, myelitis and encephalomyelitis in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	185	185	502	1	1	1
131003	Source of report of G05 (encephalitis, myelitis and encephalomyelitis in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G05, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "encephalitis, myelitis and encephalomyelitis in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	185	185	502.5	1	1	1
131004	Date G06 first reported (intracranial and intraspinal abscess and granuloma)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G06. The code corresponds to "intracranial and intraspinal abscess and granuloma". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	398	398	503	1	1	1
131005	Source of report of G06 (intracranial and intraspinal abscess and granuloma)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G06, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "intracranial and intraspinal abscess and granuloma".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	398	398	503.5	1	1	1
131006	Date G07 first reported (intracranial and intraspinal abscess and granuloma in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G07. The code corresponds to "intracranial and intraspinal abscess and granuloma in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	7	7	504	1	1	1
131007	Source of report of G07 (intracranial and intraspinal abscess and granuloma in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G07, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "intracranial and intraspinal abscess and granuloma in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	7	7	504.5	1	1	1
131008	Date G08 first reported (intracranial and intraspinal phlebitis and thrombophlebitis)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G08. The code corresponds to "intracranial and intraspinal phlebitis and thrombophlebitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	132	132	505	1	1	1
131009	Source of report of G08 (intracranial and intraspinal phlebitis and thrombophlebitis)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G08, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "intracranial and intraspinal phlebitis and thrombophlebitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	132	132	505.5	1	1	1
131010	Date G09 first reported (sequelae of inflammatory diseases of central nervous system)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G09. The code corresponds to "sequelae of inflammatory diseases of central nervous system". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	116	116	506	1	1	1
131011	Source of report of G09 (sequelae of inflammatory diseases of central nervous system)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G09, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "sequelae of inflammatory diseases of central nervous system".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	116	116	506.5	1	1	1
131012	Date G10 first reported (huntington's disease)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G10. The code corresponds to "huntington's disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	69	69	507	1	1	1
131013	Source of report of G10 (huntington's disease)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G10, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "huntington's disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	69	69	507.5	1	1	1
131014	Date G11 first reported (hereditary ataxia)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G11. The code corresponds to "hereditary ataxia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	433	433	508	1	1	1
131015	Source of report of G11 (hereditary ataxia)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G11, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hereditary ataxia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	433	433	508.5	1	1	1
131016	Date G12 first reported (spinal muscular atrophy and related syndromes)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G12. The code corresponds to "spinal muscular atrophy and related syndromes". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	821	821	509	1	1	1
131017	Source of report of G12 (spinal muscular atrophy and related syndromes)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G12, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "spinal muscular atrophy and related syndromes".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	821	821	509.5	1	1	1
131018	Date G13 first reported (systemic atrophies primarily affecting central nervous system in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G13. The code corresponds to "systemic atrophies primarily affecting central nervous system in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	33	33	510	1	1	1
131019	Source of report of G13 (systemic atrophies primarily affecting central nervous system in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G13, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "systemic atrophies primarily affecting central nervous system in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	33	33	510.5	1	1	1
131020	Date G14 first reported (postpolio syndrome)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G14. The code corresponds to "postpolio syndrome". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	89	89	511	1	1	1
131021	Source of report of G14 (postpolio syndrome)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G14, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "postpolio syndrome".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	89	89	511.5	1	1	1
131022	Date G20 first reported (parkinson's disease)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G20. The code corresponds to "parkinson's disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	4489	4489	512	1	1	1
131023	Source of report of G20 (parkinson's disease)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G20, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "parkinson's disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	4489	4489	512.5	1	1	1
131024	Date G21 first reported (secondary parkinsonism)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G21. The code corresponds to "secondary parkinsonism". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	315	315	513	1	1	1
131025	Source of report of G21 (secondary parkinsonism)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G21, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "secondary parkinsonism".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	315	315	513.5	1	1	1
131026	Date G22 first reported (parkinsonism in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G22. The code corresponds to "parkinsonism in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	4	4	514	1	1	1
131027	Source of report of G22 (parkinsonism in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G22, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "parkinsonism in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	4	4	514.5	1	1	1
131028	Date G23 first reported (other degenerative diseases of basal ganglia)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G23. The code corresponds to "other degenerative diseases of basal ganglia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	393	393	515	1	1	1
131029	Source of report of G23 (other degenerative diseases of basal ganglia)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G23, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other degenerative diseases of basal ganglia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	393	393	515.5	1	1	1
131030	Date G24 first reported (dystonia)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G24. The code corresponds to "dystonia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1312	1312	516	1	1	1
131031	Source of report of G24 (dystonia)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G24, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "dystonia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1312	1312	516.5	1	1	1
131032	Date G25 first reported (other extrapyramidal and movement disorders)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G25. The code corresponds to "other extrapyramidal and movement disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	5991	5991	517	1	1	1
131033	Source of report of G25 (other extrapyramidal and movement disorders)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G25, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other extrapyramidal and movement disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5991	5991	517.5	1	1	1
131034	Date G26 first reported (extrapyramidal and movement disorders in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G26. The code corresponds to "extrapyramidal and movement disorders in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	518	1	1	1
131035	Source of report of G26 (extrapyramidal and movement disorders in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G26, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "extrapyramidal and movement disorders in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	518.5	1	1	1
131036	Date G30 first reported (alzheimer's disease)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G30. The code corresponds to "alzheimer's disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	4347	4347	519	1	1	1
131037	Source of report of G30 (alzheimer's disease)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G30, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "alzheimer's disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	4347	4347	519.5	1	1	1
131038	Date G31 first reported (other degenerative diseases of nervous system, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G31. The code corresponds to "other degenerative diseases of nervous system, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	3574	3574	520	1	1	1
131039	Source of report of G31 (other degenerative diseases of nervous system, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G31, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other degenerative diseases of nervous system, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3574	3574	520.5	1	1	1
131040	Date G32 first reported (other degenerative disorders of nervous system in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G32. The code corresponds to "other degenerative disorders of nervous system in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	69	69	521	1	1	1
131041	Source of report of G32 (other degenerative disorders of nervous system in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G32, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other degenerative disorders of nervous system in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	69	69	521.5	1	1	1
131042	Date G35 first reported (multiple sclerosis)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G35. The code corresponds to "multiple sclerosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	2576	2576	522	1	1	1
131043	Source of report of G35 (multiple sclerosis)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G35, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "multiple sclerosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2576	2576	522.5	1	1	1
131044	Date G36 first reported (other acute disseminated demyelination)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G36. The code corresponds to "other acute disseminated demyelination". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	40	40	523	1	1	1
131045	Source of report of G36 (other acute disseminated demyelination)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G36, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other acute disseminated demyelination".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	40	40	523.5	1	1	1
131046	Date G37 first reported (other demyelinating diseases of central nervous system)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G37. The code corresponds to "other demyelinating diseases of central nervous system". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	680	680	524	1	1	1
131047	Source of report of G37 (other demyelinating diseases of central nervous system)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G37, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other demyelinating diseases of central nervous system".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	680	680	524.5	1	1	1
131048	Date G40 first reported (epilepsy)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G40. The code corresponds to "epilepsy". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	8908	8908	525	1	1	1
131049	Source of report of G40 (epilepsy)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G40, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "epilepsy".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	8908	8908	525.5	1	1	1
131050	Date G41 first reported (status epilepticus)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G41. The code corresponds to "status epilepticus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	403	403	526	1	1	1
131051	Source of report of G41 (status epilepticus)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G41, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "status epilepticus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	403	403	526.5	1	1	1
131052	Date G43 first reported (migraine)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G43. The code corresponds to "migraine". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	27243	27243	527	1	1	1
131053	Source of report of G43 (migraine)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G43, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "migraine".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	27243	27243	527.5	1	1	1
131054	Date G44 first reported (other headache syndromes)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G44. The code corresponds to "other headache syndromes". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	6154	6154	528	1	1	1
131055	Source of report of G44 (other headache syndromes)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G44, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other headache syndromes".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	6154	6154	528.5	1	1	1
131056	Date G45 first reported (transient cerebral ischaemic attacks and related syndromes)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G45. The code corresponds to "transient cerebral ischaemic attacks and related syndromes". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	10444	10444	529	1	1	1
131057	Source of report of G45 (transient cerebral ischaemic attacks and related syndromes)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G45, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "transient cerebral ischaemic attacks and related syndromes".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	10444	10444	529.5	1	1	1
131058	Date G46 first reported (vascular syndromes of brain in cerebrovascular diseases)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G46. The code corresponds to "vascular syndromes of brain in cerebrovascular diseases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	303	303	530	1	1	1
131059	Source of report of G46 (vascular syndromes of brain in cerebrovascular diseases)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G46, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "vascular syndromes of brain in cerebrovascular diseases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	303	303	530.5	1	1	1
131060	Date G47 first reported (sleep disorders)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G47. The code corresponds to "sleep disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	20824	20824	531	1	1	1
131061	Source of report of G47 (sleep disorders)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G47, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "sleep disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	20824	20824	531.5	1	1	1
131062	Date G50 first reported (disorders of trigeminal nerve)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G50. The code corresponds to "disorders of trigeminal nerve". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	3386	3386	532	1	1	1
131063	Source of report of G50 (disorders of trigeminal nerve)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G50, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of trigeminal nerve".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3386	3386	532.5	1	1	1
131064	Date G51 first reported (facial nerve disorders)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G51. The code corresponds to "facial nerve disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	3784	3784	533	1	1	1
131065	Source of report of G51 (facial nerve disorders)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G51, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "facial nerve disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3784	3784	533.5	1	1	1
131066	Date G52 first reported (disorders of other cranial nerves)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G52. The code corresponds to "disorders of other cranial nerves". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	513	513	534	1	1	1
131067	Source of report of G52 (disorders of other cranial nerves)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G52, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of other cranial nerves".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	513	513	534.5	1	1	1
131068	Date G53 first reported (cranial nerve disorders in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G53. The code corresponds to "cranial nerve disorders in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	312	312	535	1	1	1
131069	Source of report of G53 (cranial nerve disorders in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G53, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cranial nerve disorders in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	312	312	535.5	1	1	1
131070	Date G54 first reported (nerve root and plexus disorders)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G54. The code corresponds to "nerve root and plexus disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1476	1476	536	1	1	1
131071	Source of report of G54 (nerve root and plexus disorders)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G54, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "nerve root and plexus disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1476	1476	536.5	1	1	1
131072	Date G55 first reported (nerve root and plexus compressions in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G55. The code corresponds to "nerve root and plexus compressions in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	9732	9732	537	1	1	1
131073	Source of report of G55 (nerve root and plexus compressions in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G55, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "nerve root and plexus compressions in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	9732	9732	537.5	1	1	1
131074	Date G56 first reported (mononeuropathies of upper limb)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G56. The code corresponds to "mononeuropathies of upper limb". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	26010	26010	538	1	1	1
131075	Source of report of G56 (mononeuropathies of upper limb)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G56, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "mononeuropathies of upper limb".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	26010	26010	538.5	1	1	1
131076	Date G57 first reported (mononeuropathies of lower limb)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G57. The code corresponds to "mononeuropathies of lower limb". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	5415	5415	539	1	1	1
131077	Source of report of G57 (mononeuropathies of lower limb)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G57, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "mononeuropathies of lower limb".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5415	5415	539.5	1	1	1
131078	Date G58 first reported (other mononeuropathies)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G58. The code corresponds to "other mononeuropathies". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	2926	2926	540	1	1	1
131079	Source of report of G58 (other mononeuropathies)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G58, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other mononeuropathies".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	2926	2926	540.5	1	1	1
131080	Date G59 first reported (mononeuropathy in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G59. The code corresponds to "mononeuropathy in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	368	368	541	1	1	1
131081	Source of report of G59 (mononeuropathy in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G59, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "mononeuropathy in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	368	368	541.5	1	1	1
131082	Date G60 first reported (hereditary and idiopathic neuropathy)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G60. The code corresponds to "hereditary and idiopathic neuropathy". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	562	562	542	1	1	1
131083	Source of report of G60 (hereditary and idiopathic neuropathy)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G60, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hereditary and idiopathic neuropathy".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	562	562	542.5	1	1	1
131084	Date G61 first reported (inflammatory polyneuropathy)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G61. The code corresponds to "inflammatory polyneuropathy". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	721	721	543	1	1	1
131085	Source of report of G61 (inflammatory polyneuropathy)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G61, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "inflammatory polyneuropathy".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	721	721	543.5	1	1	1
131086	Date G62 first reported (other polyneuropathies)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G62. The code corresponds to "other polyneuropathies". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	5757	5757	544	1	1	1
131087	Source of report of G62 (other polyneuropathies)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G62, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other polyneuropathies".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	5757	5757	544.5	1	1	1
131088	Date G63 first reported (polyneuropathy in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G63. The code corresponds to "polyneuropathy in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1731	1731	545	1	1	1
131089	Source of report of G63 (polyneuropathy in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G63, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "polyneuropathy in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1731	1731	545.5	1	1	1
131090	Date G64 first reported (other disorders of peripheral nervous system)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G64. The code corresponds to "other disorders of peripheral nervous system". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	292	292	546	1	1	1
131091	Source of report of G64 (other disorders of peripheral nervous system)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G64, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of peripheral nervous system".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	292	292	546.5	1	1	1
131092	Date G70 first reported (myasthenia gravis and other myoneural disorders)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G70. The code corresponds to "myasthenia gravis and other myoneural disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	583	583	547	1	1	1
131093	Source of report of G70 (myasthenia gravis and other myoneural disorders)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G70, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "myasthenia gravis and other myoneural disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	583	583	547.5	1	1	1
131094	Date G71 first reported (primary disorders of muscles)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G71. The code corresponds to "primary disorders of muscles". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	348	348	548	1	1	1
131095	Source of report of G71 (primary disorders of muscles)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G71, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "primary disorders of muscles".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	348	348	548.5	1	1	1
131096	Date G72 first reported (other myopathies)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G72. The code corresponds to "other myopathies". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	509	509	549	1	1	1
131097	Source of report of G72 (other myopathies)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G72, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other myopathies".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	509	509	549.5	1	1	1
131098	Date G73 first reported (disorders of myoneural junction and muscle in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G73. The code corresponds to "disorders of myoneural junction and muscle in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	43	43	550	1	1	1
131099	Source of report of G73 (disorders of myoneural junction and muscle in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G73, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of myoneural junction and muscle in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	43	43	550.5	1	1	1
131100	Date G80 first reported (infantile cerebral palsy)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G80. The code corresponds to "infantile cerebral palsy". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	330	330	551	1	1	1
131101	Source of report of G80 (infantile cerebral palsy)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G80, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "infantile cerebral palsy".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	330	330	551.5	1	1	1
131102	Date G81 first reported (hemiplegia)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G81. The code corresponds to "hemiplegia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	5069	5069	552	1	1	1
131103	Source of report of G81 (hemiplegia)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G81, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hemiplegia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5069	5069	552.5	1	1	1
131104	Date G82 first reported (paraplegia and tetraplegia)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G82. The code corresponds to "paraplegia and tetraplegia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	732	732	553	1	1	1
131105	Source of report of G82 (paraplegia and tetraplegia)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G82, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "paraplegia and tetraplegia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	732	732	553.5	1	1	1
131106	Date G83 first reported (other paralytic syndromes)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G83. The code corresponds to "other paralytic syndromes". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1634	1634	554	1	1	1
131107	Source of report of G83 (other paralytic syndromes)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G83, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other paralytic syndromes".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1634	1634	554.5	1	1	1
131108	Date G90 first reported (disorders of autonomic nervous system)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G90. The code corresponds to "disorders of autonomic nervous system". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	808	808	555	1	1	1
131109	Source of report of G90 (disorders of autonomic nervous system)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G90, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of autonomic nervous system".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	808	808	555.5	1	1	1
131110	Date G91 first reported (hydrocephalus)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G91. The code corresponds to "hydrocephalus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1330	1330	556	1	1	1
131111	Source of report of G91 (hydrocephalus)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G91, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hydrocephalus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1330	1330	556.5	1	1	1
131112	Date G92 first reported (toxic encephalopathy)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G92. The code corresponds to "toxic encephalopathy". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	24	24	557	1	1	1
131113	Source of report of G92 (toxic encephalopathy)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G92, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "toxic encephalopathy".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	24	24	557.5	1	1	1
131114	Date G93 first reported (other disorders of brain)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G93. The code corresponds to "other disorders of brain". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	7352	7352	558	1	1	1
131115	Source of report of G93 (other disorders of brain)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G93, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of brain".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	7352	7352	558.5	1	1	1
131116	Date G94 first reported (other disorders of brain in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G94. The code corresponds to "other disorders of brain in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	196	196	559	1	1	1
131117	Source of report of G94 (other disorders of brain in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G94, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of brain in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	196	196	559.5	1	1	1
131118	Date G95 first reported (other diseases of spinal cord)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G95. The code corresponds to "other diseases of spinal cord". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2141	2141	560	1	1	1
131119	Source of report of G95 (other diseases of spinal cord)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G95, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other diseases of spinal cord".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2141	2141	560.5	1	1	1
131120	Date G96 first reported (other disorders of central nervous system)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G96. The code corresponds to "other disorders of central nervous system". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	637	637	561	1	1	1
131121	Source of report of G96 (other disorders of central nervous system)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G96, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of central nervous system".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	637	637	561.5	1	1	1
131122	Date G97 first reported (postprocedural disorders of nervous system, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G97. The code corresponds to "postprocedural disorders of nervous system, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	412	412	562	1	1	1
131123	Source of report of G97 (postprocedural disorders of nervous system, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G97, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "postprocedural disorders of nervous system, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	412	412	562.5	1	1	1
131124	Date G98 first reported (other disorders of nervous system, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G98. The code corresponds to "other disorders of nervous system, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2154	2154	563	1	1	1
131125	Source of report of G98 (other disorders of nervous system, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G98, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of nervous system, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	2154	2154	563.5	1	1	1
131126	Date G99 first reported (other disorders of nervous system in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2406	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 G99. The code corresponds to "other disorders of nervous system in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2857	2857	564	1	1	1
131127	Source of report of G99 (other disorders of nervous system in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2406	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 G99, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of nervous system in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	2857	2857	564.5	1	1	1
131128	Date H00 first reported (hordeolum and chalazion)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H00. The code corresponds to "hordeolum and chalazion". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	12949	12949	565	1	1	1
131129	Source of report of H00 (hordeolum and chalazion)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H00, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hordeolum and chalazion".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	12949	12949	565.5	1	1	1
131130	Date H01 first reported (other inflammation of eyelid)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H01. The code corresponds to "other inflammation of eyelid". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	6240	6240	566	1	1	1
131131	Source of report of H01 (other inflammation of eyelid)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H01, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other inflammation of eyelid".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	6240	6240	566.5	1	1	1
131132	Date H02 first reported (other disorders of eyelid)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H02. The code corresponds to "other disorders of eyelid". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	18484	18484	567	1	1	1
131133	Source of report of H02 (other disorders of eyelid)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H02, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of eyelid".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	18484	18484	567.5	1	1	1
131134	Date H03 first reported (disorders of eyelid in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H03. The code corresponds to "disorders of eyelid in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	96	96	568	1	1	1
131135	Source of report of H03 (disorders of eyelid in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H03, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of eyelid in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	96	96	568.5	1	1	1
131136	Date H04 first reported (disorders of lachrymal system)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H04. The code corresponds to "disorders of lachrymal system". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	16478	16478	569	1	1	1
131137	Source of report of H04 (disorders of lachrymal system)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H04, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of lachrymal system".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	16478	16478	569.5	1	1	1
131138	Date H05 first reported (disorders of orbit)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H05. The code corresponds to "disorders of orbit". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1280	1280	570	1	1	1
131139	Source of report of H05 (disorders of orbit)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H05, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of orbit".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1280	1280	570.5	1	1	1
131140	Date H06 first reported (disorders of lachrymal system and orbit in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H06. The code corresponds to "disorders of lachrymal system and orbit in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	235	235	571	1	1	1
131141	Source of report of H06 (disorders of lachrymal system and orbit in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H06, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of lachrymal system and orbit in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	235	235	571.5	1	1	1
131142	Date H10 first reported (conjunctivitis)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H10. The code corresponds to "conjunctivitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	24371	24371	572	1	1	1
131143	Source of report of H10 (conjunctivitis)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H10, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "conjunctivitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	24371	24371	572.5	1	1	1
131144	Date H11 first reported (other disorders of conjunctiva)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H11. The code corresponds to "other disorders of conjunctiva". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	8985	8985	573	1	1	1
131145	Source of report of H11 (other disorders of conjunctiva)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H11, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of conjunctiva".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	8985	8985	573.5	1	1	1
131146	Date H13 first reported (disorders of conjunctiva in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H13. The code corresponds to "disorders of conjunctiva in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	161	161	574	1	1	1
131147	Source of report of H13 (disorders of conjunctiva in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H13, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of conjunctiva in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	161	161	574.5	1	1	1
131148	Date H15 first reported (disorders of sclera)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H15. The code corresponds to "disorders of sclera". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1350	1350	575	1	1	1
131149	Source of report of H15 (disorders of sclera)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H15, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of sclera".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1350	1350	575.5	1	1	1
131150	Date H16 first reported (keratitis)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H16. The code corresponds to "keratitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1852	1852	576	1	1	1
131151	Source of report of H16 (keratitis)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H16, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "keratitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1852	1852	576.5	1	1	1
131152	Date H17 first reported (corneal scars and opacities)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H17. The code corresponds to "corneal scars and opacities". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	590	590	577	1	1	1
131153	Source of report of H17 (corneal scars and opacities)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H17, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "corneal scars and opacities".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	590	590	577.5	1	1	1
131154	Date H18 first reported (other disorders of cornea)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H18. The code corresponds to "other disorders of cornea". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	5931	5931	578	1	1	1
131155	Source of report of H18 (other disorders of cornea)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H18, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of cornea".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5931	5931	578.5	1	1	1
131156	Date H19 first reported (disorders of sclera and cornea in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H19. The code corresponds to "disorders of sclera and cornea in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	218	218	579	1	1	1
131157	Source of report of H19 (disorders of sclera and cornea in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H19, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of sclera and cornea in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	218	218	579.5	1	1	1
131158	Date H20 first reported (iridocyclitis)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H20. The code corresponds to "iridocyclitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	3073	3073	580	1	1	1
131159	Source of report of H20 (iridocyclitis)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H20, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "iridocyclitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3073	3073	580.5	1	1	1
131160	Date H21 first reported (other disorders of iris and ciliary body)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H21. The code corresponds to "other disorders of iris and ciliary body". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1533	1533	581	1	1	1
131161	Source of report of H21 (other disorders of iris and ciliary body)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H21, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of iris and ciliary body".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1533	1533	581.5	1	1	1
131162	Date H22 first reported (disorders of iris and ciliary body in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H22. The code corresponds to "disorders of iris and ciliary body in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	76	76	582	1	1	1
131163	Source of report of H22 (disorders of iris and ciliary body in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H22, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of iris and ciliary body in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	76	76	582.5	1	1	1
131164	Date H25 first reported (senile cataract)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H25. The code corresponds to "senile cataract". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	37119	37119	583	1	1	1
131165	Source of report of H25 (senile cataract)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H25, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "senile cataract".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	37119	37119	583.5	1	1	1
131166	Date H26 first reported (other cataract)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H26. The code corresponds to "other cataract". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	54175	54175	584	1	1	1
131167	Source of report of H26 (other cataract)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H26, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other cataract".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	54175	54175	584.5	1	1	1
131168	Date H27 first reported (other disorders of lens)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H27. The code corresponds to "other disorders of lens". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	788	788	585	1	1	1
131169	Source of report of H27 (other disorders of lens)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H27, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of lens".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	788	788	585.5	1	1	1
131170	Date H28 first reported (cataract and other disorders of lens in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H28. The code corresponds to "cataract and other disorders of lens in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	159	159	586	1	1	1
131171	Source of report of H28 (cataract and other disorders of lens in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H28, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cataract and other disorders of lens in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	159	159	586.5	1	1	1
131172	Date H30 first reported (chorioretinal inflammation)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H30. The code corresponds to "chorioretinal inflammation". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	261	261	587	1	1	1
131173	Source of report of H30 (chorioretinal inflammation)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H30, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "chorioretinal inflammation".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	261	261	587.5	1	1	1
131174	Date H31 first reported (other disorders of choroid)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H31. The code corresponds to "other disorders of choroid". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1121	1121	588	1	1	1
131175	Source of report of H31 (other disorders of choroid)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H31, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of choroid".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1121	1121	588.5	1	1	1
131176	Date H32 first reported (chorioretinal disorders in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H32. The code corresponds to "chorioretinal disorders in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	17	17	589	1	1	1
131177	Source of report of H32 (chorioretinal disorders in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H32, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "chorioretinal disorders in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	17	17	589.5	1	1	1
131178	Date H33 first reported (retinal detachments and breaks)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H33. The code corresponds to "retinal detachments and breaks". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	7860	7860	590	1	1	1
131179	Source of report of H33 (retinal detachments and breaks)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H33, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "retinal detachments and breaks".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	7860	7860	590.5	1	1	1
131180	Date H34 first reported (retinal vascular occlusions)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H34. The code corresponds to "retinal vascular occlusions". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	2928	2928	591	1	1	1
131181	Source of report of H34 (retinal vascular occlusions)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H34, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "retinal vascular occlusions".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2928	2928	591.5	1	1	1
131182	Date H35 first reported (other retinal disorders)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H35. The code corresponds to "other retinal disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	19319	19319	592	1	1	1
131183	Source of report of H35 (other retinal disorders)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H35, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other retinal disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	19319	19319	592.5	1	1	1
131184	Date H36 first reported (retinal disorders in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H36. The code corresponds to "retinal disorders in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	5405	5405	593	1	1	1
131185	Source of report of H36 (retinal disorders in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H36, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "retinal disorders in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5405	5405	593.5	1	1	1
131186	Date H40 first reported (glaucoma)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H40. The code corresponds to "glaucoma". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	20822	20822	594	1	1	1
131187	Source of report of H40 (glaucoma)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H40, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "glaucoma".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	20822	20822	594.5	1	1	1
131188	Date H42 first reported (glaucoma in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H42. The code corresponds to "glaucoma in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	7	7	595	1	1	1
131189	Source of report of H42 (glaucoma in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H42, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "glaucoma in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	7	7	595.5	1	1	1
131190	Date H43 first reported (disorders of vitreous body)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H43. The code corresponds to "disorders of vitreous body". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	12047	12047	596	1	1	1
131191	Source of report of H43 (disorders of vitreous body)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H43, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of vitreous body".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	12047	12047	596.5	1	1	1
131192	Date H44 first reported (disorders of globe)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H44. The code corresponds to "disorders of globe". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	2280	2280	597	1	1	1
131193	Source of report of H44 (disorders of globe)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H44, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of globe".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2280	2280	597.5	1	1	1
131194	Date H45 first reported (disorders of vitreous body and globe in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H45. The code corresponds to "disorders of vitreous body and globe in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	23	23	598	1	1	1
131195	Source of report of H45 (disorders of vitreous body and globe in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H45, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of vitreous body and globe in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	23	23	598.5	1	1	1
131196	Date H46 first reported (optic neuritis)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H46. The code corresponds to "optic neuritis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	577	577	599	1	1	1
131197	Source of report of H46 (optic neuritis)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H46, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "optic neuritis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	577	577	599.5	1	1	1
131198	Date H47 first reported (other disorders of optic [2nd] nerve and visual pathways)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H47. The code corresponds to "other disorders of optic [2nd] nerve and visual pathways". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1785	1785	600	1	1	1
131199	Source of report of H47 (other disorders of optic [2nd] nerve and visual pathways)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H47, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of optic [2nd] nerve and visual pathways".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1785	1785	600.5	1	1	1
131200	Date H48 first reported (disorders of optic [2nd] nerve and visual pathways in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H48. The code corresponds to "disorders of optic [2nd] nerve and visual pathways in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	17	17	601	1	1	1
131201	Source of report of H48 (disorders of optic [2nd] nerve and visual pathways in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H48, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of optic [2nd] nerve and visual pathways in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	17	17	601.5	1	1	1
131202	Date H49 first reported (paralytic strabismus)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H49. The code corresponds to "paralytic strabismus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	969	969	602	1	1	1
131203	Source of report of H49 (paralytic strabismus)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H49, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "paralytic strabismus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	969	969	602.5	1	1	1
131204	Date H50 first reported (other strabismus)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H50. The code corresponds to "other strabismus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2772	2772	603	1	1	1
131205	Source of report of H50 (other strabismus)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H50, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other strabismus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2772	2772	603.5	1	1	1
131206	Date H51 first reported (other disorders of binocular movement)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H51. The code corresponds to "other disorders of binocular movement". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	270	270	604	1	1	1
131207	Source of report of H51 (other disorders of binocular movement)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H51, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of binocular movement".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	270	270	604.5	1	1	1
131208	Date H52 first reported (disorders of refraction and accommodation)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H52. The code corresponds to "disorders of refraction and accommodation". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	15503	15503	605	1	1	1
131209	Source of report of H52 (disorders of refraction and accommodation)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H52, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of refraction and accommodation".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	15503	15503	605.5	1	1	1
131210	Date H53 first reported (visual disturbances)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H53. The code corresponds to "visual disturbances". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	14438	14438	606	1	1	1
131211	Source of report of H53 (visual disturbances)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H53, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "visual disturbances".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	14438	14438	606.5	1	1	1
131212	Date H54 first reported (blindness and low vision)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H54. The code corresponds to "blindness and low vision". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	4453	4453	607	1	1	1
131213	Source of report of H54 (blindness and low vision)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H54, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "blindness and low vision".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	4453	4453	607.5	1	1	1
131214	Date H55 first reported (nystagmus and other irregular eye movements)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H55. The code corresponds to "nystagmus and other irregular eye movements". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	828	828	608	1	1	1
131215	Source of report of H55 (nystagmus and other irregular eye movements)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H55, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "nystagmus and other irregular eye movements".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	828	828	608.5	1	1	1
131216	Date H57 first reported (other disorders of eye and adnexa)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H57. The code corresponds to "other disorders of eye and adnexa". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	8517	8517	609	1	1	1
131217	Source of report of H57 (other disorders of eye and adnexa)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H57, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of eye and adnexa".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	8517	8517	609.5	1	1	1
131218	Date H58 first reported (other disorders of eye and adnexa in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H58. The code corresponds to "other disorders of eye and adnexa in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	254	254	610	1	1	1
131219	Source of report of H58 (other disorders of eye and adnexa in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H58, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of eye and adnexa in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	254	254	610.5	1	1	1
131220	Date H59 first reported (postprocedural disorders of eye and adnexa, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2407	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H59. The code corresponds to "postprocedural disorders of eye and adnexa, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	696	696	611	1	1	1
131221	Source of report of H59 (postprocedural disorders of eye and adnexa, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2407	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H59, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "postprocedural disorders of eye and adnexa, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	696	696	611.5	1	1	1
131222	Date H60 first reported (otitis externa)	0	3	0	51	0	0	3	0	0	0		2408	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H60. The code corresponds to "otitis externa". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	22230	22230	612	1	1	1
131223	Source of report of H60 (otitis externa)	0	3	0	21	11	0	3	0	0	0		2408	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H60, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "otitis externa".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	22230	22230	612.5	1	1	1
131224	Date H61 first reported (other disorders of external ear)	0	3	0	51	0	0	3	0	0	0		2408	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H61. The code corresponds to "other disorders of external ear". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	30313	30313	613	1	1	1
131225	Source of report of H61 (other disorders of external ear)	0	3	0	21	11	0	3	0	0	0		2408	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H61, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of external ear".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	30313	30313	613.5	1	1	1
131226	Date H62 first reported (disorders of external ear in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2408	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H62. The code corresponds to "disorders of external ear in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	65	65	614	1	1	1
131227	Source of report of H62 (disorders of external ear in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2408	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H62, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of external ear in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	65	65	614.5	1	1	1
131228	Date H65 first reported (nonsuppurative otitis media)	0	3	0	51	0	0	3	0	0	0		2408	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H65. The code corresponds to "nonsuppurative otitis media". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	6088	6088	615	1	1	1
131229	Source of report of H65 (nonsuppurative otitis media)	0	3	0	21	11	0	3	0	0	0		2408	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H65, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "nonsuppurative otitis media".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	6088	6088	615.5	1	1	1
131230	Date H66 first reported (suppurative and unspecified otitis media)	0	3	0	51	0	0	3	0	0	0		2408	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H66. The code corresponds to "suppurative and unspecified otitis media". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	10345	10345	616	1	1	1
131231	Source of report of H66 (suppurative and unspecified otitis media)	0	3	0	21	11	0	3	0	0	0		2408	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H66, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "suppurative and unspecified otitis media".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	10345	10345	616.5	1	1	1
131232	Date H67 first reported (otitis media in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2408	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H67. The code corresponds to "otitis media in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	12	12	617	1	1	1
131233	Source of report of H67 (otitis media in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2408	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H67, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "otitis media in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	12	12	617.5	1	1	1
131234	Date H68 first reported (eustachian salpingitis and obstruction)	0	3	0	51	0	0	3	0	0	0		2408	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H68. The code corresponds to "eustachian salpingitis and obstruction". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2503	2503	618	1	1	1
131235	Source of report of H68 (eustachian salpingitis and obstruction)	0	3	0	21	11	0	3	0	0	0		2408	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H68, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "eustachian salpingitis and obstruction".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	2503	2503	618.5	1	1	1
131236	Date H69 first reported (other disorders of eustachian tube)	0	3	0	51	0	0	3	0	0	0		2408	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H69. The code corresponds to "other disorders of eustachian tube". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2736	2736	619	1	1	1
131237	Source of report of H69 (other disorders of eustachian tube)	0	3	0	21	11	0	3	0	0	0		2408	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H69, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of eustachian tube".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	2736	2736	619.5	1	1	1
131238	Date H70 first reported (mastoiditis and related conditions)	0	3	0	51	0	0	3	0	0	0		2408	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H70. The code corresponds to "mastoiditis and related conditions". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	313	313	620	1	1	1
131239	Source of report of H70 (mastoiditis and related conditions)	0	3	0	21	11	0	3	0	0	0		2408	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H70, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "mastoiditis and related conditions".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	313	313	620.5	1	1	1
131240	Date H71 first reported (cholesteatoma of middle ear)	0	3	0	51	0	0	3	0	0	0		2408	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H71. The code corresponds to "cholesteatoma of middle ear". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	763	763	621	1	1	1
131241	Source of report of H71 (cholesteatoma of middle ear)	0	3	0	21	11	0	3	0	0	0		2408	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H71, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cholesteatoma of middle ear".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	763	763	621.5	1	1	1
131242	Date H72 first reported (perforation of tympanic membrane)	0	3	0	51	0	0	3	0	0	0		2408	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H72. The code corresponds to "perforation of tympanic membrane". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2262	2262	622	1	1	1
131243	Source of report of H72 (perforation of tympanic membrane)	0	3	0	21	11	0	3	0	0	0		2408	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H72, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "perforation of tympanic membrane".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	2262	2262	622.5	1	1	1
131244	Date H73 first reported (other disorders of tympanic membrane)	0	3	0	51	0	0	3	0	0	0		2408	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H73. The code corresponds to "other disorders of tympanic membrane". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	798	798	623	1	1	1
131245	Source of report of H73 (other disorders of tympanic membrane)	0	3	0	21	11	0	3	0	0	0		2408	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H73, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of tympanic membrane".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	798	798	623.5	1	1	1
131246	Date H74 first reported (other disorders of middle ear and mastoid)	0	3	0	51	0	0	3	0	0	0		2408	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H74. The code corresponds to "other disorders of middle ear and mastoid". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	996	996	624	1	1	1
131247	Source of report of H74 (other disorders of middle ear and mastoid)	0	3	0	21	11	0	3	0	0	0		2408	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H74, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of middle ear and mastoid".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	996	996	624.5	1	1	1
131248	Date H75 first reported (other disorders of middle ear and mastoid in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2408	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H75. The code corresponds to "other disorders of middle ear and mastoid in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	3	3	625	1	1	1
131249	Source of report of H75 (other disorders of middle ear and mastoid in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2408	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H75, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of middle ear and mastoid in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	3	3	625.5	1	1	1
131250	Date H80 first reported (otosclerosis)	0	3	0	51	0	0	3	0	0	0		2408	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H80. The code corresponds to "otosclerosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1112	1112	626	1	1	1
131251	Source of report of H80 (otosclerosis)	0	3	0	21	11	0	3	0	0	0		2408	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H80, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "otosclerosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1112	1112	626.5	1	1	1
131252	Date H81 first reported (disorders of vestibular function)	0	3	0	51	0	0	3	0	0	0		2408	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H81. The code corresponds to "disorders of vestibular function". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	13458	13458	627	1	1	1
131253	Source of report of H81 (disorders of vestibular function)	0	3	0	21	11	0	3	0	0	0		2408	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H81, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of vestibular function".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	13458	13458	627.5	1	1	1
131254	Date H82 first reported (vertiginous syndromes in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2408	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H82. The code corresponds to "vertiginous syndromes in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	7	7	628	1	1	1
131255	Source of report of H82 (vertiginous syndromes in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2408	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H82, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "vertiginous syndromes in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	7	7	628.5	1	1	1
131256	Date H83 first reported (other diseases of inner ear)	0	3	0	51	0	0	3	0	0	0		2408	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H83. The code corresponds to "other diseases of inner ear". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	12374	12374	629	1	1	1
131257	Source of report of H83 (other diseases of inner ear)	0	3	0	21	11	0	3	0	0	0		2408	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H83, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other diseases of inner ear".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	12374	12374	629.5	1	1	1
131258	Date H90 first reported (conductive and sensorineural hearing loss)	0	3	0	51	0	0	3	0	0	0		2408	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H90. The code corresponds to "conductive and sensorineural hearing loss". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	9058	9058	630	1	1	1
131259	Source of report of H90 (conductive and sensorineural hearing loss)	0	3	0	21	11	0	3	0	0	0		2408	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H90, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "conductive and sensorineural hearing loss".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	9058	9058	630.5	1	1	1
131260	Date H91 first reported (other hearing loss)	0	3	0	51	0	0	3	0	0	0		2408	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H91. The code corresponds to "other hearing loss". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	21196	21196	631	1	1	1
131261	Source of report of H91 (other hearing loss)	0	3	0	21	11	0	3	0	0	0		2408	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H91, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other hearing loss".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	21196	21196	631.5	1	1	1
131262	Date H92 first reported (otalgia and effusion of ear)	0	3	0	51	0	0	3	0	0	0		2408	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H92. The code corresponds to "otalgia and effusion of ear". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	16467	16467	632	1	1	1
131263	Source of report of H92 (otalgia and effusion of ear)	0	3	0	21	11	0	3	0	0	0		2408	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H92, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "otalgia and effusion of ear".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	16467	16467	632.5	1	1	1
131264	Date H93 first reported (other disorders of ear, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2408	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H93. The code corresponds to "other disorders of ear, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	19041	19041	633	1	1	1
131265	Source of report of H93 (other disorders of ear, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2408	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H93, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of ear, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	19041	19041	633.5	1	1	1
131266	Date H94 first reported (other disorders of ear in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2408	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H94. The code corresponds to "other disorders of ear in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-01-25T00:00:00	17	17	634	1	1	1
131267	Source of report of H94 (other disorders of ear in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2408	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H94, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of ear in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-01-25T00:00:00	17	17	634.5	1	1	1
131268	Date H95 first reported (postprocedural disorders of ear and mastoid process, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2408	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 H95. The code corresponds to "postprocedural disorders of ear and mastoid process, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	176	176	635	1	1	1
131269	Source of report of H95 (postprocedural disorders of ear and mastoid process, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2408	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 H95, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "postprocedural disorders of ear and mastoid process, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	176	176	635.5	1	1	1
131270	Date I00 first reported (rheumatic fever without mention of heart involvement)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I00. The code corresponds to "rheumatic fever without mention of heart involvement". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	1649	1649	636	1	1	1
131271	Source of report of I00 (rheumatic fever without mention of heart involvement)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I00, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "rheumatic fever without mention of heart involvement".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	1649	1649	636.5	1	1	1
131272	Date I01 first reported (rheumatic fever with heart involvement)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I01. The code corresponds to "rheumatic fever with heart involvement". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	32	32	637	1	1	1
131273	Source of report of I01 (rheumatic fever with heart involvement)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I01, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "rheumatic fever with heart involvement".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	32	32	637.5	1	1	1
131274	Date I02 first reported (rheumatic chorea)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I02. The code corresponds to "rheumatic chorea". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	28	28	638	1	1	1
131275	Source of report of I02 (rheumatic chorea)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I02, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "rheumatic chorea".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	28	28	638.5	1	1	1
131276	Date I05 first reported (rheumatic mitral valve diseases)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I05. The code corresponds to "rheumatic mitral valve diseases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	990	990	639	1	1	1
131277	Source of report of I05 (rheumatic mitral valve diseases)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I05, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "rheumatic mitral valve diseases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	990	990	639.5	1	1	1
131278	Date I06 first reported (rheumatic aortic valve diseases)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I06. The code corresponds to "rheumatic aortic valve diseases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	119	119	640	1	1	1
131279	Source of report of I06 (rheumatic aortic valve diseases)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I06, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "rheumatic aortic valve diseases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	119	119	640.5	1	1	1
131280	Date I07 first reported (rheumatic tricuspid valve diseases)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I07. The code corresponds to "rheumatic tricuspid valve diseases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2038	2038	641	1	1	1
131281	Source of report of I07 (rheumatic tricuspid valve diseases)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I07, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "rheumatic tricuspid valve diseases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2038	2038	641.5	1	1	1
131282	Date I08 first reported (multiple valve diseases)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I08. The code corresponds to "multiple valve diseases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	9185	9185	642	1	1	1
131283	Source of report of I08 (multiple valve diseases)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I08, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "multiple valve diseases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	9185	9185	642.5	1	1	1
131284	Date I09 first reported (other rheumatic heart diseases)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I09. The code corresponds to "other rheumatic heart diseases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	136	136	643	1	1	1
131285	Source of report of I09 (other rheumatic heart diseases)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I09, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other rheumatic heart diseases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	136	136	643.5	1	1	1
131286	Date I10 first reported (essential (primary) hypertension)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I10. The code corresponds to "essential (primary) hypertension". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	201775	201775	644	1	1	1
131287	Source of report of I10 (essential (primary) hypertension)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I10, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "essential (primary) hypertension".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	201775	201775	644.5	1	1	1
131288	Date I11 first reported (hypertensive heart disease)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I11. The code corresponds to "hypertensive heart disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1109	1109	645	1	1	1
131289	Source of report of I11 (hypertensive heart disease)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I11, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hypertensive heart disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1109	1109	645.5	1	1	1
131290	Date I12 first reported (hypertensive renal disease)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I12. The code corresponds to "hypertensive renal disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2276	2276	646	1	1	1
131291	Source of report of I12 (hypertensive renal disease)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I12, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hypertensive renal disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2276	2276	646.5	1	1	1
131292	Date I13 first reported (hypertensive heart and renal disease)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I13. The code corresponds to "hypertensive heart and renal disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	195	195	647	1	1	1
131293	Source of report of I13 (hypertensive heart and renal disease)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I13, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hypertensive heart and renal disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	195	195	647.5	1	1	1
131294	Date I15 first reported (secondary hypertension)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I15. The code corresponds to "secondary hypertension". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	312	312	648	1	1	1
131295	Source of report of I15 (secondary hypertension)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I15, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "secondary hypertension".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	312	312	648.5	1	1	1
131296	Date I20 first reported (angina pectoris)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I20. The code corresponds to "angina pectoris". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	38286	38286	649	1	1	1
131297	Source of report of I20 (angina pectoris)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I20, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "angina pectoris".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	38286	38286	649.5	1	1	1
131298	Date I21 first reported (acute myocardial infarction)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I21. The code corresponds to "acute myocardial infarction". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	24891	24891	650	1	1	1
131299	Source of report of I21 (acute myocardial infarction)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I21, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acute myocardial infarction".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	24891	24891	650.5	1	1	1
131300	Date I22 first reported (subsequent myocardial infarction)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I22. The code corresponds to "subsequent myocardial infarction". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	968	968	651	1	1	1
131301	Source of report of I22 (subsequent myocardial infarction)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I22, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "subsequent myocardial infarction".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	968	968	651.5	1	1	1
131302	Date I23 first reported (certain current complications following acute myocardial infarction)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I23. The code corresponds to "certain current complications following acute myocardial infarction". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	107	107	652	1	1	1
131303	Source of report of I23 (certain current complications following acute myocardial infarction)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I23, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "certain current complications following acute myocardial infarction".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	107	107	652.5	1	1	1
131304	Date I24 first reported (other acute ischaemic heart diseases)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I24. The code corresponds to "other acute ischaemic heart diseases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	5265	5265	653	1	1	1
131305	Source of report of I24 (other acute ischaemic heart diseases)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I24, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other acute ischaemic heart diseases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5265	5265	653.5	1	1	1
131306	Date I25 first reported (chronic ischaemic heart disease)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I25. The code corresponds to "chronic ischaemic heart disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	55257	55257	654	1	1	1
131307	Source of report of I25 (chronic ischaemic heart disease)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I25, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "chronic ischaemic heart disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	55257	55257	654.5	1	1	1
131308	Date I26 first reported (pulmonary embolism)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I26. The code corresponds to "pulmonary embolism". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	13212	13212	655	1	1	1
131309	Source of report of I26 (pulmonary embolism)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I26, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pulmonary embolism".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	13212	13212	655.5	1	1	1
131310	Date I27 first reported (other pulmonary heart diseases)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I27. The code corresponds to "other pulmonary heart diseases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	3384	3384	656	1	1	1
131311	Source of report of I27 (other pulmonary heart diseases)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I27, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other pulmonary heart diseases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3384	3384	656.5	1	1	1
131312	Date I28 first reported (other diseases of pulmonary vessels)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I28. The code corresponds to "other diseases of pulmonary vessels". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	166	166	657	1	1	1
131313	Source of report of I28 (other diseases of pulmonary vessels)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I28, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other diseases of pulmonary vessels".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	166	166	657.5	1	1	1
131314	Date I30 first reported (acute pericarditis)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I30. The code corresponds to "acute pericarditis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	737	737	658	1	1	1
131315	Source of report of I30 (acute pericarditis)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I30, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acute pericarditis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	737	737	658.5	1	1	1
131316	Date I31 first reported (other diseases of pericardium)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I31. The code corresponds to "other diseases of pericardium". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	3959	3959	659	1	1	1
131317	Source of report of I31 (other diseases of pericardium)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I31, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other diseases of pericardium".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3959	3959	659.5	1	1	1
131318	Date I32 first reported (pericarditis in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I32. The code corresponds to "pericarditis in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	15	15	660	1	1	1
131319	Source of report of I32 (pericarditis in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I32, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pericarditis in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	15	15	660.5	1	1	1
131320	Date I33 first reported (acute and subacute endocarditis)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I33. The code corresponds to "acute and subacute endocarditis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	680	680	661	1	1	1
131321	Source of report of I33 (acute and subacute endocarditis)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I33, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acute and subacute endocarditis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	680	680	661.5	1	1	1
131322	Date I34 first reported (nonrheumatic mitral valve disorders)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I34. The code corresponds to "nonrheumatic mitral valve disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	8506	8506	662	1	1	1
131323	Source of report of I34 (nonrheumatic mitral valve disorders)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I34, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "nonrheumatic mitral valve disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	8506	8506	662.5	1	1	1
131324	Date I35 first reported (nonrheumatic aortic valve disorders)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I35. The code corresponds to "nonrheumatic aortic valve disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	9438	9438	663	1	1	1
131325	Source of report of I35 (nonrheumatic aortic valve disorders)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I35, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "nonrheumatic aortic valve disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	9438	9438	663.5	1	1	1
131326	Date I36 first reported (nonrheumatic tricuspid valve disorders)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I36. The code corresponds to "nonrheumatic tricuspid valve disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	731	731	664	1	1	1
131327	Source of report of I36 (nonrheumatic tricuspid valve disorders)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I36, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "nonrheumatic tricuspid valve disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	731	731	664.5	1	1	1
131328	Date I37 first reported (pulmonary valve disorders)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I37. The code corresponds to "pulmonary valve disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1021	1021	665	1	1	1
131329	Source of report of I37 (pulmonary valve disorders)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I37, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pulmonary valve disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1021	1021	665.5	1	1	1
131330	Date I38 first reported (endocarditis, valve unspecified)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I38. The code corresponds to "endocarditis, valve unspecified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1220	1220	666	1	1	1
131331	Source of report of I38 (endocarditis, valve unspecified)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I38, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "endocarditis, valve unspecified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1220	1220	666.5	1	1	1
131332	Date I39 first reported (endocarditis and heart valve disorders in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I39. The code corresponds to "endocarditis and heart valve disorders in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	13	13	667	1	1	1
131333	Source of report of I39 (endocarditis and heart valve disorders in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I39, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "endocarditis and heart valve disorders in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	13	13	667.5	1	1	1
131334	Date I40 first reported (acute myocarditis)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I40. The code corresponds to "acute myocarditis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	106	106	668	1	1	1
131335	Source of report of I40 (acute myocarditis)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I40, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acute myocarditis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	106	106	668.5	1	1	1
131336	Date I41 first reported (myocarditis in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I41. The code corresponds to "myocarditis in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	13	13	669	1	1	1
131337	Source of report of I41 (myocarditis in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I41, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "myocarditis in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	13	13	669.5	1	1	1
131338	Date I42 first reported (cardiomyopathy)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I42. The code corresponds to "cardiomyopathy". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	3881	3881	670	1	1	1
131339	Source of report of I42 (cardiomyopathy)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I42, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cardiomyopathy".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	3881	3881	670.5	1	1	1
131340	Date I43 first reported (cardiomyopathy in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I43. The code corresponds to "cardiomyopathy in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	156	156	671	1	1	1
131341	Source of report of I43 (cardiomyopathy in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I43, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cardiomyopathy in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	156	156	671.5	1	1	1
131342	Date I44 first reported (atrioventricular and left bundle-branch block)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I44. The code corresponds to "atrioventricular and left bundle-branch block". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	14046	14046	672	1	1	1
131343	Source of report of I44 (atrioventricular and left bundle-branch block)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I44, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "atrioventricular and left bundle-branch block".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	14046	14046	672.5	1	1	1
131344	Date I45 first reported (other conduction disorders)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I45. The code corresponds to "other conduction disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	8731	8731	673	1	1	1
131345	Source of report of I45 (other conduction disorders)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I45, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other conduction disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	8731	8731	673.5	1	1	1
131346	Date I46 first reported (cardiac arrest)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I46. The code corresponds to "cardiac arrest". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	3426	3426	674	1	1	1
131347	Source of report of I46 (cardiac arrest)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I46, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cardiac arrest".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3426	3426	674.5	1	1	1
131348	Date I47 first reported (paroxysmal tachycardia)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I47. The code corresponds to "paroxysmal tachycardia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	8756	8756	675	1	1	1
131349	Source of report of I47 (paroxysmal tachycardia)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I47, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "paroxysmal tachycardia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	8756	8756	675.5	1	1	1
131350	Date I48 first reported (atrial fibrillation and flutter)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I48. The code corresponds to "atrial fibrillation and flutter". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	41973	41973	676	1	1	1
131351	Source of report of I48 (atrial fibrillation and flutter)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I48, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "atrial fibrillation and flutter".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	41973	41973	676.5	1	1	1
131352	Date I49 first reported (other cardiac arrhythmias)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I49. The code corresponds to "other cardiac arrhythmias". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	14654	14654	677	1	1	1
131353	Source of report of I49 (other cardiac arrhythmias)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I49, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other cardiac arrhythmias".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	14654	14654	677.5	1	1	1
131354	Date I50 first reported (heart failure)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I50. The code corresponds to "heart failure". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	21011	21011	678	1	1	1
131355	Source of report of I50 (heart failure)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I50, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "heart failure".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	21011	21011	678.5	1	1	1
131356	Date I51 first reported (complications and ill-defined descriptions of heart disease)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I51. The code corresponds to "complications and ill-defined descriptions of heart disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	24859	24859	679	1	1	1
131357	Source of report of I51 (complications and ill-defined descriptions of heart disease)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I51, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "complications and ill-defined descriptions of heart disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	24859	24859	679.5	1	1	1
131358	Date I52 first reported (other heart disorders in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I52. The code corresponds to "other heart disorders in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	4	4	680	1	1	1
131359	Source of report of I52 (other heart disorders in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I52, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other heart disorders in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	4	4	680.5	1	1	1
131360	Date I60 first reported (subarachnoid haemorrhage)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I60. The code corresponds to "subarachnoid haemorrhage". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	2084	2084	681	1	1	1
131361	Source of report of I60 (subarachnoid haemorrhage)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I60, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "subarachnoid haemorrhage".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	2084	2084	681.5	1	1	1
131362	Date I61 first reported (intracerebral haemorrhage)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I61. The code corresponds to "intracerebral haemorrhage". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	2577	2577	682	1	1	1
131363	Source of report of I61 (intracerebral haemorrhage)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I61, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "intracerebral haemorrhage".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2577	2577	682.5	1	1	1
131364	Date I62 first reported (other nontraumatic intracranial haemorrhage)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I62. The code corresponds to "other nontraumatic intracranial haemorrhage". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	1538	1538	683	1	1	1
131365	Source of report of I62 (other nontraumatic intracranial haemorrhage)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I62, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other nontraumatic intracranial haemorrhage".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1538	1538	683.5	1	1	1
131366	Date I63 first reported (cerebral infarction)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I63. The code corresponds to "cerebral infarction". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	10831	10831	684	1	1	1
131367	Source of report of I63 (cerebral infarction)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I63, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cerebral infarction".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	10831	10831	684.5	1	1	1
131368	Date I64 first reported (stroke, not specified as haemorrhage or infarction)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I64. The code corresponds to "stroke, not specified as haemorrhage or infarction". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	10236	10236	685	1	1	1
131369	Source of report of I64 (stroke, not specified as haemorrhage or infarction)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I64, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "stroke, not specified as haemorrhage or infarction".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	10236	10236	685.5	1	1	1
131370	Date I65 first reported (occlusion and stenosis of precerebral arteries, not resulting in cerebral infarction)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I65. The code corresponds to "occlusion and stenosis of precerebral arteries, not resulting in cerebral infarction". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	3184	3184	686	1	1	1
131371	Source of report of I65 (occlusion and stenosis of precerebral arteries, not resulting in cerebral infarction)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I65, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "occlusion and stenosis of precerebral arteries, not resulting in cerebral infarction".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3184	3184	686.5	1	1	1
131372	Date I66 first reported (occlusion and stenosis of cerebral arteries, not resulting in cerebral infarction)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I66. The code corresponds to "occlusion and stenosis of cerebral arteries, not resulting in cerebral infarction". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	244	244	687	1	1	1
131373	Source of report of I66 (occlusion and stenosis of cerebral arteries, not resulting in cerebral infarction)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I66, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "occlusion and stenosis of cerebral arteries, not resulting in cerebral infarction".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	244	244	687.5	1	1	1
131374	Date I67 first reported (other cerebrovascular diseases)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I67. The code corresponds to "other cerebrovascular diseases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	12778	12778	688	1	1	1
131375	Source of report of I67 (other cerebrovascular diseases)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I67, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other cerebrovascular diseases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	12778	12778	688.5	1	1	1
131376	Date I68 first reported (cerebrovascular disorders in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I68. The code corresponds to "cerebrovascular disorders in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	200	200	689	1	1	1
131377	Source of report of I68 (cerebrovascular disorders in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I68, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cerebrovascular disorders in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	200	200	689.5	1	1	1
131378	Date I69 first reported (sequelae of cerebrovascular disease)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I69. The code corresponds to "sequelae of cerebrovascular disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	3879	3879	690	1	1	1
131379	Source of report of I69 (sequelae of cerebrovascular disease)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I69, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "sequelae of cerebrovascular disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3879	3879	690.5	1	1	1
131380	Date I70 first reported (atherosclerosis)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I70. The code corresponds to "atherosclerosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	4464	4464	691	1	1	1
131381	Source of report of I70 (atherosclerosis)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I70, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "atherosclerosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	4464	4464	691.5	1	1	1
131382	Date I71 first reported (aortic aneurysm and dissection)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I71. The code corresponds to "aortic aneurysm and dissection". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	5309	5309	692	1	1	1
131383	Source of report of I71 (aortic aneurysm and dissection)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I71, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "aortic aneurysm and dissection".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5309	5309	692.5	1	1	1
131384	Date I72 first reported (other aneurysm)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I72. The code corresponds to "other aneurysm". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1764	1764	693	1	1	1
131385	Source of report of I72 (other aneurysm)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I72, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other aneurysm".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1764	1764	693.5	1	1	1
131386	Date I73 first reported (other peripheral vascular diseases)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I73. The code corresponds to "other peripheral vascular diseases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	14709	14709	694	1	1	1
131387	Source of report of I73 (other peripheral vascular diseases)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I73, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other peripheral vascular diseases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	14709	14709	694.5	1	1	1
131388	Date I74 first reported (arterial embolism and thrombosis)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I74. The code corresponds to "arterial embolism and thrombosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2319	2319	695	1	1	1
131389	Source of report of I74 (arterial embolism and thrombosis)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I74, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "arterial embolism and thrombosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2319	2319	695.5	1	1	1
131390	Date I77 first reported (other disorders of arteries and arterioles)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I77. The code corresponds to "other disorders of arteries and arterioles". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	3816	3816	696	1	1	1
131391	Source of report of I77 (other disorders of arteries and arterioles)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I77, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of arteries and arterioles".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3816	3816	696.5	1	1	1
131392	Date I78 first reported (diseases of capillaries)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I78. The code corresponds to "diseases of capillaries". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	3110	3110	697	1	1	1
131393	Source of report of I78 (diseases of capillaries)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I78, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "diseases of capillaries".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3110	3110	697.5	1	1	1
131394	Date I79 first reported (disorders of arteries, arterioles and capillaries in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I79. The code corresponds to "disorders of arteries, arterioles and capillaries in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	201	201	698	1	1	1
131395	Source of report of I79 (disorders of arteries, arterioles and capillaries in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I79, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of arteries, arterioles and capillaries in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	201	201	698.5	1	1	1
131396	Date I80 first reported (phlebitis and thrombophlebitis)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I80. The code corresponds to "phlebitis and thrombophlebitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	19821	19821	699	1	1	1
131397	Source of report of I80 (phlebitis and thrombophlebitis)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I80, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "phlebitis and thrombophlebitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	19821	19821	699.5	1	1	1
131398	Date I81 first reported (portal vein thrombosis)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I81. The code corresponds to "portal vein thrombosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	516	516	700	1	1	1
131399	Source of report of I81 (portal vein thrombosis)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I81, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "portal vein thrombosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	516	516	700.5	1	1	1
131400	Date I82 first reported (other venous embolism and thrombosis)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I82. The code corresponds to "other venous embolism and thrombosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1488	1488	701	1	1	1
131401	Source of report of I82 (other venous embolism and thrombosis)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I82, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other venous embolism and thrombosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1488	1488	701.5	1	1	1
131402	Date I83 first reported (varicose veins of lower extremities)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I83. The code corresponds to "varicose veins of lower extremities". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	25431	25431	702	1	1	1
131403	Source of report of I83 (varicose veins of lower extremities)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I83, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "varicose veins of lower extremities".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	25431	25431	702.5	1	1	1
131404	Date I84 first reported (haemorrhoids)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I84. The code corresponds to "haemorrhoids". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-01-25T00:00:00	31882	31882	703	1	1	1
131405	Source of report of I84 (haemorrhoids)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I84, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "haemorrhoids".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-01-25T00:00:00	31882	31882	703.5	1	1	1
131406	Date I85 first reported (oesophageal varices)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I85. The code corresponds to "oesophageal varices". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1306	1306	704	1	1	1
131407	Source of report of I85 (oesophageal varices)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I85, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "oesophageal varices".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1306	1306	704.5	1	1	1
131408	Date I86 first reported (varicose veins of other sites)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I86. The code corresponds to "varicose veins of other sites". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2313	2313	705	1	1	1
131409	Source of report of I86 (varicose veins of other sites)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I86, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "varicose veins of other sites".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	2313	2313	705.5	1	1	1
131410	Date I87 first reported (other disorders of veins)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I87. The code corresponds to "other disorders of veins". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2326	2326	706	1	1	1
131411	Source of report of I87 (other disorders of veins)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I87, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of veins".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2326	2326	706.5	1	1	1
131412	Date I88 first reported (nonspecific lymphadenitis)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I88. The code corresponds to "nonspecific lymphadenitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	496	496	707	1	1	1
131413	Source of report of I88 (nonspecific lymphadenitis)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I88, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "nonspecific lymphadenitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	496	496	707.5	1	1	1
131414	Date I89 first reported (other non-infective disorders of lymphatic vessels and lymph nodes)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I89. The code corresponds to "other non-infective disorders of lymphatic vessels and lymph nodes". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	3338	3338	708	1	1	1
131415	Source of report of I89 (other non-infective disorders of lymphatic vessels and lymph nodes)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I89, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other non-infective disorders of lymphatic vessels and lymph nodes".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3338	3338	708.5	1	1	1
131416	Date I95 first reported (hypotension)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I95. The code corresponds to "hypotension". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	22798	22798	709	1	1	1
131417	Source of report of I95 (hypotension)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I95, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hypotension".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	22798	22798	709.5	1	1	1
131418	Date I97 first reported (postprocedural disorders of circulatory system, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I97. The code corresponds to "postprocedural disorders of circulatory system, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	420	420	710	1	1	1
131419	Source of report of I97 (postprocedural disorders of circulatory system, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I97, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "postprocedural disorders of circulatory system, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	420	420	710.5	1	1	1
131420	Date I98 first reported (other disorders of circulatory system in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I98. The code corresponds to "other disorders of circulatory system in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	707	707	711	1	1	1
131421	Source of report of I98 (other disorders of circulatory system in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I98, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of circulatory system in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	707	707	711.5	1	1	1
131422	Date I99 first reported (other and unspecified disorders of circulatory system)	0	3	0	51	0	0	3	0	0	0		2409	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 I99. The code corresponds to "other and unspecified disorders of circulatory system". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	703	703	712	1	1	1
131423	Source of report of I99 (other and unspecified disorders of circulatory system)	0	3	0	21	11	0	3	0	0	0		2409	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 I99, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other and unspecified disorders of circulatory system".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	703	703	712.5	1	1	1
131424	Date J00 first reported (acute nasopharyngitis [common cold])	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J00. The code corresponds to "acute nasopharyngitis [common cold]". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	5594	5594	713	1	1	1
131425	Source of report of J00 (acute nasopharyngitis [common cold])	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J00, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acute nasopharyngitis [common cold]".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5594	5594	713.5	1	1	1
131426	Date J01 first reported (acute sinusitis)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J01. The code corresponds to "acute sinusitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	24639	24639	714	1	1	1
131427	Source of report of J01 (acute sinusitis)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J01, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acute sinusitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	24639	24639	714.5	1	1	1
131428	Date J02 first reported (acute pharyngitis)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J02. The code corresponds to "acute pharyngitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	24377	24377	715	1	1	1
131429	Source of report of J02 (acute pharyngitis)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J02, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acute pharyngitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	24377	24377	715.5	1	1	1
131430	Date J03 first reported (acute tonsillitis)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J03. The code corresponds to "acute tonsillitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	19127	19127	716	1	1	1
131431	Source of report of J03 (acute tonsillitis)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J03, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acute tonsillitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	19127	19127	716.5	1	1	1
131432	Date J04 first reported (acute laryngitis and tracheitis)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J04. The code corresponds to "acute laryngitis and tracheitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	4656	4656	717	1	1	1
131433	Source of report of J04 (acute laryngitis and tracheitis)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J04, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acute laryngitis and tracheitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	4656	4656	717.5	1	1	1
131434	Date J05 first reported (acute obstructive laryngitis [croup] and epiglottitis)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J05. The code corresponds to "acute obstructive laryngitis [croup] and epiglottitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	192	192	718	1	1	1
131435	Source of report of J05 (acute obstructive laryngitis [croup] and epiglottitis)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J05, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acute obstructive laryngitis [croup] and epiglottitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	192	192	718.5	1	1	1
131436	Date J06 first reported (acute upper respiratory infections of multiple and unspecified sites)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J06. The code corresponds to "acute upper respiratory infections of multiple and unspecified sites". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	52344	52344	719	1	1	1
131437	Source of report of J06 (acute upper respiratory infections of multiple and unspecified sites)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J06, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acute upper respiratory infections of multiple and unspecified sites".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	52344	52344	719.5	1	1	1
131438	Date J09 first reported (influenza due to certain identified influenza virus)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J09. The code corresponds to "influenza due to certain identified influenza virus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	28	28	720	1	1	1
131439	Source of report of J09 (influenza due to certain identified influenza virus)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J09, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "influenza due to certain identified influenza virus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	28	28	720.5	1	1	1
131440	Date J10 first reported (influenza due to identified influenza virus)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J10. The code corresponds to "influenza due to identified influenza virus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1748	1748	721	1	1	1
131441	Source of report of J10 (influenza due to identified influenza virus)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J10, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "influenza due to identified influenza virus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1748	1748	721.5	1	1	1
131442	Date J11 first reported (influenza, virus not identified)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J11. The code corresponds to "influenza, virus not identified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	11052	11052	722	1	1	1
131443	Source of report of J11 (influenza, virus not identified)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J11, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "influenza, virus not identified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	11052	11052	722.5	1	1	1
131444	Date J12 first reported (viral pneumonia, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J12. The code corresponds to "viral pneumonia, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	3657	3657	723	1	1	1
131445	Source of report of J12 (viral pneumonia, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J12, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "viral pneumonia, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3657	3657	723.5	1	1	1
131446	Date J13 first reported (pneumonia due to streptococcus pneumoniae)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J13. The code corresponds to "pneumonia due to streptococcus pneumoniae". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1097	1097	724	1	1	1
131447	Source of report of J13 (pneumonia due to streptococcus pneumoniae)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J13, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pneumonia due to streptococcus pneumoniae".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1097	1097	724.5	1	1	1
131448	Date J14 first reported (pneumonia due to haemophilus influenzae)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J14. The code corresponds to "pneumonia due to haemophilus influenzae". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	274	274	725	1	1	1
131449	Source of report of J14 (pneumonia due to haemophilus influenzae)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J14, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pneumonia due to haemophilus influenzae".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	274	274	725.5	1	1	1
131450	Date J15 first reported (bacterial pneumonia, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J15. The code corresponds to "bacterial pneumonia, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1717	1717	726	1	1	1
131451	Source of report of J15 (bacterial pneumonia, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J15, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "bacterial pneumonia, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1717	1717	726.5	1	1	1
131452	Date J16 first reported (pneumonia due to other infectious organisms, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J16. The code corresponds to "pneumonia due to other infectious organisms, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	98	98	727	1	1	1
131453	Source of report of J16 (pneumonia due to other infectious organisms, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J16, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pneumonia due to other infectious organisms, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	98	98	727.5	1	1	1
131454	Date J17 first reported (pneumonia in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J17. The code corresponds to "pneumonia in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	417	417	728	1	1	1
131455	Source of report of J17 (pneumonia in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J17, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pneumonia in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	417	417	728.5	1	1	1
131456	Date J18 first reported (pneumonia, organism unspecified)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J18. The code corresponds to "pneumonia, organism unspecified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	39738	39738	729	1	1	1
131457	Source of report of J18 (pneumonia, organism unspecified)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J18, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pneumonia, organism unspecified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	39738	39738	729.5	1	1	1
131458	Date J20 first reported (acute bronchitis)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J20. The code corresponds to "acute bronchitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	5520	5520	730	1	1	1
131459	Source of report of J20 (acute bronchitis)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J20, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acute bronchitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	5520	5520	730.5	1	1	1
131460	Date J21 first reported (acute bronchiolitis)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J21. The code corresponds to "acute bronchiolitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	186	186	731	1	1	1
131461	Source of report of J21 (acute bronchiolitis)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J21, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acute bronchiolitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	186	186	731.5	1	1	1
131462	Date J22 first reported (unspecified acute lower respiratory infection)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J22. The code corresponds to "unspecified acute lower respiratory infection". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	65932	65932	732	1	1	1
131463	Source of report of J22 (unspecified acute lower respiratory infection)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J22, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified acute lower respiratory infection".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	65932	65932	732.5	1	1	1
131464	Date J30 first reported (vasomotor and allergic rhinitis)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J30. The code corresponds to "vasomotor and allergic rhinitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	51266	51266	733	1	1	1
131465	Source of report of J30 (vasomotor and allergic rhinitis)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J30, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "vasomotor and allergic rhinitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	51266	51266	733.5	1	1	1
131466	Date J31 first reported (chronic rhinitis, nasopharyngitis and pharyngitis)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J31. The code corresponds to "chronic rhinitis, nasopharyngitis and pharyngitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	7147	7147	734	1	1	1
131467	Source of report of J31 (chronic rhinitis, nasopharyngitis and pharyngitis)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J31, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "chronic rhinitis, nasopharyngitis and pharyngitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	7147	7147	734.5	1	1	1
131468	Date J32 first reported (chronic sinusitis)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J32. The code corresponds to "chronic sinusitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	13924	13924	735	1	1	1
131469	Source of report of J32 (chronic sinusitis)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J32, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "chronic sinusitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	13924	13924	735.5	1	1	1
131470	Date J33 first reported (nasal polyp)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J33. The code corresponds to "nasal polyp". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	7955	7955	736	1	1	1
131471	Source of report of J33 (nasal polyp)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J33, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "nasal polyp".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	7955	7955	736.5	1	1	1
131472	Date J34 first reported (other disorders of nose and nasal sinuses)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J34. The code corresponds to "other disorders of nose and nasal sinuses". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	18314	18314	737	1	1	1
131473	Source of report of J34 (other disorders of nose and nasal sinuses)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J34, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of nose and nasal sinuses".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	18314	18314	737.5	1	1	1
131474	Date J35 first reported (chronic diseases of tonsils and adenoids)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J35. The code corresponds to "chronic diseases of tonsils and adenoids". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2000	2000	738	1	1	1
131475	Source of report of J35 (chronic diseases of tonsils and adenoids)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J35, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "chronic diseases of tonsils and adenoids".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	2000	2000	738.5	1	1	1
131476	Date J36 first reported (peritonsillar abscess)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J36. The code corresponds to "peritonsillar abscess". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	954	954	739	1	1	1
131477	Source of report of J36 (peritonsillar abscess)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J36, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "peritonsillar abscess".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	954	954	739.5	1	1	1
131478	Date J37 first reported (chronic laryngitis and laryngotracheitis)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J37. The code corresponds to "chronic laryngitis and laryngotracheitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	606	606	740	1	1	1
131479	Source of report of J37 (chronic laryngitis and laryngotracheitis)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J37, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "chronic laryngitis and laryngotracheitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	606	606	740.5	1	1	1
131480	Date J38 first reported (diseases of vocal cords and larynx, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J38. The code corresponds to "diseases of vocal cords and larynx, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	4345	4345	741	1	1	1
131481	Source of report of J38 (diseases of vocal cords and larynx, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J38, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "diseases of vocal cords and larynx, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	4345	4345	741.5	1	1	1
131482	Date J39 first reported (other diseases of upper respiratory tract)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J39. The code corresponds to "other diseases of upper respiratory tract". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2100	2100	742	1	1	1
131483	Source of report of J39 (other diseases of upper respiratory tract)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J39, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other diseases of upper respiratory tract".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	2100	2100	742.5	1	1	1
131484	Date J40 first reported (bronchitis, not specified as acute or chronic)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J40. The code corresponds to "bronchitis, not specified as acute or chronic". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	10007	10007	743	1	1	1
131485	Source of report of J40 (bronchitis, not specified as acute or chronic)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J40, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "bronchitis, not specified as acute or chronic".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	10007	10007	743.5	1	1	1
131486	Date J41 first reported (simple and mucopurulent chronic bronchitis)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J41. The code corresponds to "simple and mucopurulent chronic bronchitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	133	133	744	1	1	1
131487	Source of report of J41 (simple and mucopurulent chronic bronchitis)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J41, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "simple and mucopurulent chronic bronchitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	133	133	744.5	1	1	1
131488	Date J42 first reported (unspecified chronic bronchitis)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J42. The code corresponds to "unspecified chronic bronchitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	800	800	745	1	1	1
131489	Source of report of J42 (unspecified chronic bronchitis)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J42, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified chronic bronchitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	800	800	745.5	1	1	1
131490	Date J43 first reported (emphysema)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J43. The code corresponds to "emphysema". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	6008	6008	746	1	1	1
131491	Source of report of J43 (emphysema)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J43, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "emphysema".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	6008	6008	746.5	1	1	1
131492	Date J44 first reported (other chronic obstructive pulmonary disease)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J44. The code corresponds to "other chronic obstructive pulmonary disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	27781	27781	747	1	1	1
131493	Source of report of J44 (other chronic obstructive pulmonary disease)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J44, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other chronic obstructive pulmonary disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	27781	27781	747.5	1	1	1
131494	Date J45 first reported (asthma)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J45. The code corresponds to "asthma". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	74069	74069	748	1	1	1
131495	Source of report of J45 (asthma)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J45, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "asthma".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	74069	74069	748.5	1	1	1
131496	Date J46 first reported (status asthmaticus)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J46. The code corresponds to "status asthmaticus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	547	547	749	1	1	1
131497	Source of report of J46 (status asthmaticus)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J46, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "status asthmaticus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	547	547	749.5	1	1	1
131498	Date J47 first reported (bronchiectasis)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J47. The code corresponds to "bronchiectasis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	7245	7245	750	1	1	1
131499	Source of report of J47 (bronchiectasis)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J47, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "bronchiectasis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	7245	7245	750.5	1	1	1
131500	Date J60 first reported (coalworker's pneumoconiosis)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J60. The code corresponds to "coalworker's pneumoconiosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	80	80	751	1	1	1
131501	Source of report of J60 (coalworker's pneumoconiosis)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J60, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "coalworker's pneumoconiosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	80	80	751.5	1	1	1
131502	Date J61 first reported (pneumoconiosis due to asbestos and other mineral fibres)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J61. The code corresponds to "pneumoconiosis due to asbestos and other mineral fibres". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	810	810	752	1	1	1
131503	Source of report of J61 (pneumoconiosis due to asbestos and other mineral fibres)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J61, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pneumoconiosis due to asbestos and other mineral fibres".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	810	810	752.5	1	1	1
131504	Date J62 first reported (pneumoconiosis due to dust containing silica)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J62. The code corresponds to "pneumoconiosis due to dust containing silica". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	22	22	753	1	1	1
131505	Source of report of J62 (pneumoconiosis due to dust containing silica)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J62, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pneumoconiosis due to dust containing silica".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	22	22	753.5	1	1	1
131506	Date J63 first reported (pneumoconiosis due to other inorganic dusts)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J63. The code corresponds to "pneumoconiosis due to other inorganic dusts". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	33	33	754	1	1	1
131507	Source of report of J63 (pneumoconiosis due to other inorganic dusts)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J63, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pneumoconiosis due to other inorganic dusts".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	33	33	754.5	1	1	1
131508	Date J64 first reported (unspecified pneumoconiosis)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J64. The code corresponds to "unspecified pneumoconiosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	58	58	755	1	1	1
131509	Source of report of J64 (unspecified pneumoconiosis)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J64, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified pneumoconiosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	58	58	755.5	1	1	1
131510	Date J65 first reported (pneumoconiosis associated with tuberculosis)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J65. The code corresponds to "pneumoconiosis associated with tuberculosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	756	1	1	1
131511	Source of report of J65 (pneumoconiosis associated with tuberculosis)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J65, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pneumoconiosis associated with tuberculosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	756.5	1	1	1
131512	Date J66 first reported (airway disease due to specific organic dust)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J66. The code corresponds to "airway disease due to specific organic dust". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	5	5	757	1	1	1
131513	Source of report of J66 (airway disease due to specific organic dust)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J66, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "airway disease due to specific organic dust".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	5	5	757.5	1	1	1
131514	Date J67 first reported (hypersensitivity pneumonitis due to organic dust)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J67. The code corresponds to "hypersensitivity pneumonitis due to organic dust". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	287	287	758	1	1	1
131515	Source of report of J67 (hypersensitivity pneumonitis due to organic dust)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J67, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hypersensitivity pneumonitis due to organic dust".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	287	287	758.5	1	1	1
131516	Date J68 first reported (respiratory conditions due to inhalation of chemicals, gases, fumes and vapours)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J68. The code corresponds to "respiratory conditions due to inhalation of chemicals, gases, fumes and vapours". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	38	38	759	1	1	1
131517	Source of report of J68 (respiratory conditions due to inhalation of chemicals, gases, fumes and vapours)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J68, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "respiratory conditions due to inhalation of chemicals, gases, fumes and vapours".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	38	38	759.5	1	1	1
131518	Date J69 first reported (pneumonitis due to solids and liquids)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J69. The code corresponds to "pneumonitis due to solids and liquids". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	4138	4138	760	1	1	1
131519	Source of report of J69 (pneumonitis due to solids and liquids)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J69, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pneumonitis due to solids and liquids".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	4138	4138	760.5	1	1	1
131520	Date J70 first reported (respiratory conditions due to other external agents)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J70. The code corresponds to "respiratory conditions due to other external agents". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	211	211	761	1	1	1
131521	Source of report of J70 (respiratory conditions due to other external agents)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J70, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "respiratory conditions due to other external agents".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	211	211	761.5	1	1	1
131522	Date J80 first reported (adult respiratory distress syndrome)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J80. The code corresponds to "adult respiratory distress syndrome". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	463	463	762	1	1	1
131523	Source of report of J80 (adult respiratory distress syndrome)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J80, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "adult respiratory distress syndrome".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	463	463	762.5	1	1	1
131524	Date J81 first reported (pulmonary oedema)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J81. The code corresponds to "pulmonary oedema". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1440	1440	763	1	1	1
131525	Source of report of J81 (pulmonary oedema)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J81, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pulmonary oedema".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1440	1440	763.5	1	1	1
131526	Date J82 first reported (pulmonary eosinophilia, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J82. The code corresponds to "pulmonary eosinophilia, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	267	267	764	1	1	1
131527	Source of report of J82 (pulmonary eosinophilia, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J82, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pulmonary eosinophilia, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	267	267	764.5	1	1	1
131528	Date J84 first reported (other interstitial pulmonary diseases)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J84. The code corresponds to "other interstitial pulmonary diseases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	4743	4743	765	1	1	1
131529	Source of report of J84 (other interstitial pulmonary diseases)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J84, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other interstitial pulmonary diseases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	4743	4743	765.5	1	1	1
131530	Date J85 first reported (abscess of lung and mediastinum)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J85. The code corresponds to "abscess of lung and mediastinum". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	297	297	766	1	1	1
131531	Source of report of J85 (abscess of lung and mediastinum)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J85, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "abscess of lung and mediastinum".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	297	297	766.5	1	1	1
131532	Date J86 first reported (pyothorax)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J86. The code corresponds to "pyothorax". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	854	854	767	1	1	1
131533	Source of report of J86 (pyothorax)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J86, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pyothorax".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	854	854	767.5	1	1	1
131534	Date J90 first reported (pleural effusion, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J90. The code corresponds to "pleural effusion, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	18147	18147	768	1	1	1
131535	Source of report of J90 (pleural effusion, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J90, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pleural effusion, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	18147	18147	768.5	1	1	1
131536	Date J91 first reported (pleural effusion in conditions classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J91. The code corresponds to "pleural effusion in conditions classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	576	576	769	1	1	1
131537	Source of report of J91 (pleural effusion in conditions classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J91, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pleural effusion in conditions classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	576	576	769.5	1	1	1
131538	Date J92 first reported (pleural plaque)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J92. The code corresponds to "pleural plaque". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	3033	3033	770	1	1	1
131539	Source of report of J92 (pleural plaque)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J92, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pleural plaque".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3033	3033	770.5	1	1	1
131540	Date J93 first reported (pneumothorax)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J93. The code corresponds to "pneumothorax". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	3781	3781	771	1	1	1
131541	Source of report of J93 (pneumothorax)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J93, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pneumothorax".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3781	3781	771.5	1	1	1
131542	Date J94 first reported (other pleural conditions)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J94. The code corresponds to "other pleural conditions". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	993	993	772	1	1	1
131543	Source of report of J94 (other pleural conditions)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J94, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other pleural conditions".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	993	993	772.5	1	1	1
131544	Date J95 first reported (postprocedural respiratory disorders, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J95. The code corresponds to "postprocedural respiratory disorders, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	883	883	773	1	1	1
131545	Source of report of J95 (postprocedural respiratory disorders, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J95, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "postprocedural respiratory disorders, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	883	883	773.5	1	1	1
131546	Date J96 first reported (respiratory failure, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J96. The code corresponds to "respiratory failure, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	9409	9409	774	1	1	1
131547	Source of report of J96 (respiratory failure, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J96, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "respiratory failure, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	9409	9409	774.5	1	1	1
131548	Date J98 first reported (other respiratory disorders)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J98. The code corresponds to "other respiratory disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	24049	24049	775	1	1	1
131549	Source of report of J98 (other respiratory disorders)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J98, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other respiratory disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	24049	24049	775.5	1	1	1
131550	Date J99 first reported (respiratory disorders in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2410	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 J99. The code corresponds to "respiratory disorders in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	590	590	776	1	1	1
131551	Source of report of J99 (respiratory disorders in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2410	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 J99, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "respiratory disorders in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	590	590	776.5	1	1	1
131552	Date K00 first reported (disorders of tooth development and eruption)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K00. The code corresponds to "disorders of tooth development and eruption". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	323	323	777	1	1	1
131553	Source of report of K00 (disorders of tooth development and eruption)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K00, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of tooth development and eruption".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	323	323	777.5	1	1	1
131554	Date K01 first reported (embedded and impacted teeth)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K01. The code corresponds to "embedded and impacted teeth". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2882	2882	778	1	1	1
131555	Source of report of K01 (embedded and impacted teeth)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K01, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "embedded and impacted teeth".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	2882	2882	778.5	1	1	1
131556	Date K02 first reported (dental caries)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K02. The code corresponds to "dental caries". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	6580	6580	779	1	1	1
131557	Source of report of K02 (dental caries)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K02, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "dental caries".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	6580	6580	779.5	1	1	1
131558	Date K03 first reported (other diseases of hard tissues of teeth)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K03. The code corresponds to "other diseases of hard tissues of teeth". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	211	211	780	1	1	1
131559	Source of report of K03 (other diseases of hard tissues of teeth)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K03, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other diseases of hard tissues of teeth".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	211	211	780.5	1	1	1
131560	Date K04 first reported (diseases of pulp and periapical tissues)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K04. The code corresponds to "diseases of pulp and periapical tissues". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	8570	8570	781	1	1	1
131561	Source of report of K04 (diseases of pulp and periapical tissues)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K04, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "diseases of pulp and periapical tissues".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	8570	8570	781.5	1	1	1
131562	Date K05 first reported (gingivitis and periodontal diseases)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K05. The code corresponds to "gingivitis and periodontal diseases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2238	2238	782	1	1	1
131563	Source of report of K05 (gingivitis and periodontal diseases)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K05, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "gingivitis and periodontal diseases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	2238	2238	782.5	1	1	1
131564	Date K06 first reported (other disorders of gingiva and edentulous alveolar ridge)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K06. The code corresponds to "other disorders of gingiva and edentulous alveolar ridge". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	905	905	783	1	1	1
131565	Source of report of K06 (other disorders of gingiva and edentulous alveolar ridge)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K06, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of gingiva and edentulous alveolar ridge".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	905	905	783.5	1	1	1
131566	Date K07 first reported (dentofacial anomalies [including malocclusion])	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K07. The code corresponds to "dentofacial anomalies [including malocclusion]". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2761	2761	784	1	1	1
131567	Source of report of K07 (dentofacial anomalies [including malocclusion])	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K07, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "dentofacial anomalies [including malocclusion]".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	2761	2761	784.5	1	1	1
131568	Date K08 first reported (other disorders of teeth and supporting structures)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K08. The code corresponds to "other disorders of teeth and supporting structures". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	5594	5594	785	1	1	1
131569	Source of report of K08 (other disorders of teeth and supporting structures)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K08, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of teeth and supporting structures".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5594	5594	785.5	1	1	1
131570	Date K09 first reported (cysts of oral region, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K09. The code corresponds to "cysts of oral region, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	986	986	786	1	1	1
131571	Source of report of K09 (cysts of oral region, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K09, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cysts of oral region, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	986	986	786.5	1	1	1
131572	Date K10 first reported (other diseases of jaws)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K10. The code corresponds to "other diseases of jaws". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2056	2056	787	1	1	1
131573	Source of report of K10 (other diseases of jaws)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K10, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other diseases of jaws".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2056	2056	787.5	1	1	1
131574	Date K11 first reported (diseases of salivary glands)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K11. The code corresponds to "diseases of salivary glands". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	3745	3745	788	1	1	1
131575	Source of report of K11 (diseases of salivary glands)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K11, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "diseases of salivary glands".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3745	3745	788.5	1	1	1
131576	Date K12 first reported (stomatitis and related lesions)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K12. The code corresponds to "stomatitis and related lesions". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	4672	4672	789	1	1	1
131577	Source of report of K12 (stomatitis and related lesions)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K12, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "stomatitis and related lesions".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	4672	4672	789.5	1	1	1
131578	Date K13 first reported (other diseases of lip and oral mucosa)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K13. The code corresponds to "other diseases of lip and oral mucosa". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	8091	8091	790	1	1	1
131579	Source of report of K13 (other diseases of lip and oral mucosa)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K13, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other diseases of lip and oral mucosa".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	8091	8091	790.5	1	1	1
131580	Date K14 first reported (diseases of tongue)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K14. The code corresponds to "diseases of tongue". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	4137	4137	791	1	1	1
131581	Source of report of K14 (diseases of tongue)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K14, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "diseases of tongue".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	4137	4137	791.5	1	1	1
131582	Date K20 first reported (oesophagitis)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K20. The code corresponds to "oesophagitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	19730	19730	792	1	1	1
131583	Source of report of K20 (oesophagitis)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K20, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "oesophagitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	19730	19730	792.5	1	1	1
131584	Date K21 first reported (gastro-oesophageal reflux disease)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K21. The code corresponds to "gastro-oesophageal reflux disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	81178	81178	793	1	1	1
131585	Source of report of K21 (gastro-oesophageal reflux disease)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K21, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "gastro-oesophageal reflux disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	81178	81178	793.5	1	1	1
131586	Date K22 first reported (other diseases of oesophagus)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K22. The code corresponds to "other diseases of oesophagus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	24066	24066	794	1	1	1
131587	Source of report of K22 (other diseases of oesophagus)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K22, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other diseases of oesophagus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	24066	24066	794.5	1	1	1
131588	Date K23 first reported (disorders of oesophagus in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K23. The code corresponds to "disorders of oesophagus in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	113	113	795	1	1	1
131589	Source of report of K23 (disorders of oesophagus in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K23, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of oesophagus in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	113	113	795.5	1	1	1
131590	Date K25 first reported (gastric ulcer)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K25. The code corresponds to "gastric ulcer". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	13316	13316	796	1	1	1
131591	Source of report of K25 (gastric ulcer)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K25, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "gastric ulcer".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	13316	13316	796.5	1	1	1
131592	Date K26 first reported (duodenal ulcer)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K26. The code corresponds to "duodenal ulcer". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	10100	10100	797	1	1	1
131593	Source of report of K26 (duodenal ulcer)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K26, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "duodenal ulcer".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	10100	10100	797.5	1	1	1
131594	Date K27 first reported (peptic ulcer, site unspecified)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K27. The code corresponds to "peptic ulcer, site unspecified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	1965	1965	798	1	1	1
131595	Source of report of K27 (peptic ulcer, site unspecified)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K27, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "peptic ulcer, site unspecified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1965	1965	798.5	1	1	1
131596	Date K28 first reported (gastrojejunal ulcer)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K28. The code corresponds to "gastrojejunal ulcer". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	146	146	799	1	1	1
131597	Source of report of K28 (gastrojejunal ulcer)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K28, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "gastrojejunal ulcer".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	146	146	799.5	1	1	1
131598	Date K29 first reported (gastritis and duodenitis)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K29. The code corresponds to "gastritis and duodenitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	64906	64906	800	1	1	1
131599	Source of report of K29 (gastritis and duodenitis)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K29, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "gastritis and duodenitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	64906	64906	800.5	1	1	1
131600	Date K30 first reported (dyspepsia)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K30. The code corresponds to "dyspepsia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	20968	20968	801	1	1	1
131601	Source of report of K30 (dyspepsia)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K30, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "dyspepsia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	20968	20968	801.5	1	1	1
131602	Date K31 first reported (other diseases of stomach and duodenum)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K31. The code corresponds to "other diseases of stomach and duodenum". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	21757	21757	802	1	1	1
131603	Source of report of K31 (other diseases of stomach and duodenum)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K31, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other diseases of stomach and duodenum".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	21757	21757	802.5	1	1	1
131604	Date K35 first reported (acute appendicitis)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K35. The code corresponds to "acute appendicitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	5494	5494	803	1	1	1
131605	Source of report of K35 (acute appendicitis)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K35, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acute appendicitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5494	5494	803.5	1	1	1
131606	Date K36 first reported (other appendicitis)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K36. The code corresponds to "other appendicitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	206	206	804	1	1	1
131607	Source of report of K36 (other appendicitis)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K36, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other appendicitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	206	206	804.5	1	1	1
131608	Date K37 first reported (unspecified appendicitis)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K37. The code corresponds to "unspecified appendicitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	7071	7071	805	1	1	1
131609	Source of report of K37 (unspecified appendicitis)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K37, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified appendicitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	7071	7071	805.5	1	1	1
131610	Date K38 first reported (other diseases of appendix)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K38. The code corresponds to "other diseases of appendix". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	657	657	806	1	1	1
131611	Source of report of K38 (other diseases of appendix)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K38, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other diseases of appendix".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	657	657	806.5	1	1	1
131612	Date K40 first reported (inguinal hernia)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K40. The code corresponds to "inguinal hernia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	32927	32927	807	1	1	1
131613	Source of report of K40 (inguinal hernia)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K40, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "inguinal hernia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	32927	32927	807.5	1	1	1
131614	Date K41 first reported (femoral hernia)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K41. The code corresponds to "femoral hernia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	1669	1669	808	1	1	1
131615	Source of report of K41 (femoral hernia)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K41, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "femoral hernia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1669	1669	808.5	1	1	1
131616	Date K42 first reported (umbilical hernia)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K42. The code corresponds to "umbilical hernia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	9278	9278	809	1	1	1
131617	Source of report of K42 (umbilical hernia)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K42, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "umbilical hernia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	9278	9278	809.5	1	1	1
131618	Date K43 first reported (ventral hernia)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K43. The code corresponds to "ventral hernia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	7970	7970	810	1	1	1
131619	Source of report of K43 (ventral hernia)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K43, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "ventral hernia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	7970	7970	810.5	1	1	1
131620	Date K44 first reported (diaphragmatic hernia)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K44. The code corresponds to "diaphragmatic hernia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	61032	61032	811	1	1	1
131621	Source of report of K44 (diaphragmatic hernia)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K44, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "diaphragmatic hernia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	61032	61032	811.5	1	1	1
131622	Date K45 first reported (other abdominal hernia)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K45. The code corresponds to "other abdominal hernia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	311	311	812	1	1	1
131623	Source of report of K45 (other abdominal hernia)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K45, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other abdominal hernia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	311	311	812.5	1	1	1
131624	Date K46 first reported (unspecified abdominal hernia)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K46. The code corresponds to "unspecified abdominal hernia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	2576	2576	813	1	1	1
131625	Source of report of K46 (unspecified abdominal hernia)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K46, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified abdominal hernia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	2576	2576	813.5	1	1	1
131626	Date K50 first reported (crohn's disease [regional enteritis])	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K50. The code corresponds to "crohn's disease [regional enteritis]". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	3470	3470	814	1	1	1
131627	Source of report of K50 (crohn's disease [regional enteritis])	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K50, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "crohn's disease [regional enteritis]".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3470	3470	814.5	1	1	1
131628	Date K51 first reported (ulcerative colitis)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K51. The code corresponds to "ulcerative colitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	6650	6650	815	1	1	1
131629	Source of report of K51 (ulcerative colitis)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K51, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "ulcerative colitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	6650	6650	815.5	1	1	1
131630	Date K52 first reported (other non-infective gastro-enteritis and colitis)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K52. The code corresponds to "other non-infective gastro-enteritis and colitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	30609	30609	816	1	1	1
131631	Source of report of K52 (other non-infective gastro-enteritis and colitis)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K52, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other non-infective gastro-enteritis and colitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	30609	30609	816.5	1	1	1
131632	Date K55 first reported (vascular disorders of intestine)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K55. The code corresponds to "vascular disorders of intestine". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	3714	3714	817	1	1	1
131633	Source of report of K55 (vascular disorders of intestine)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K55, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "vascular disorders of intestine".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3714	3714	817.5	1	1	1
131634	Date K56 first reported (paralytic ileus and intestinal obstruction without hernia)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K56. The code corresponds to "paralytic ileus and intestinal obstruction without hernia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	11184	11184	818	1	1	1
131635	Source of report of K56 (paralytic ileus and intestinal obstruction without hernia)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K56, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "paralytic ileus and intestinal obstruction without hernia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	11184	11184	818.5	1	1	1
131636	Date K57 first reported (diverticular disease of intestine)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K57. The code corresponds to "diverticular disease of intestine". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	73092	73092	819	1	1	1
131637	Source of report of K57 (diverticular disease of intestine)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K57, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "diverticular disease of intestine".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	73092	73092	819.5	1	1	1
131638	Date K58 first reported (irritable bowel syndrome)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K58. The code corresponds to "irritable bowel syndrome". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	35908	35908	820	1	1	1
131639	Source of report of K58 (irritable bowel syndrome)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K58, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "irritable bowel syndrome".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	35908	35908	820.5	1	1	1
131640	Date K59 first reported (other functional intestinal disorders)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K59. The code corresponds to "other functional intestinal disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	39661	39661	821	1	1	1
131641	Source of report of K59 (other functional intestinal disorders)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K59, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other functional intestinal disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	39661	39661	821.5	1	1	1
131642	Date K60 first reported (fissure and fistula of anal and rectal regions)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K60. The code corresponds to "fissure and fistula of anal and rectal regions". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	7129	7129	822	1	1	1
131643	Source of report of K60 (fissure and fistula of anal and rectal regions)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K60, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "fissure and fistula of anal and rectal regions".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	7129	7129	822.5	1	1	1
131644	Date K61 first reported (abscess of anal and rectal regions)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K61. The code corresponds to "abscess of anal and rectal regions". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	3339	3339	823	1	1	1
131645	Source of report of K61 (abscess of anal and rectal regions)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K61, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "abscess of anal and rectal regions".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3339	3339	823.5	1	1	1
131646	Date K62 first reported (other diseases of anus and rectum)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K62. The code corresponds to "other diseases of anus and rectum". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	49330	49330	824	1	1	1
131647	Source of report of K62 (other diseases of anus and rectum)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K62, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other diseases of anus and rectum".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	49330	49330	824.5	1	1	1
131648	Date K63 first reported (other diseases of intestine)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K63. The code corresponds to "other diseases of intestine". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	39420	39420	825	1	1	1
131649	Source of report of K63 (other diseases of intestine)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K63, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other diseases of intestine".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	39420	39420	825.5	1	1	1
131650	Date K64 first reported (haemorrhoids and perianal venous thrombosis)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K64. The code corresponds to "haemorrhoids and perianal venous thrombosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	50695	50695	826	1	1	1
131651	Source of report of K64 (haemorrhoids and perianal venous thrombosis)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K64, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "haemorrhoids and perianal venous thrombosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	50695	50695	826.5	1	1	1
131652	Date K65 first reported (peritonitis)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K65. The code corresponds to "peritonitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	3877	3877	827	1	1	1
131653	Source of report of K65 (peritonitis)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K65, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "peritonitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3877	3877	827.5	1	1	1
131654	Date K66 first reported (other disorders of peritoneum)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K66. The code corresponds to "other disorders of peritoneum". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	9578	9578	828	1	1	1
131655	Source of report of K66 (other disorders of peritoneum)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K66, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of peritoneum".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	9578	9578	828.5	1	1	1
131656	Date K67 first reported (disorders of peritoneum in infectious diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K67. The code corresponds to "disorders of peritoneum in infectious diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	9	9	829	1	1	1
131657	Source of report of K67 (disorders of peritoneum in infectious diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K67, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of peritoneum in infectious diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	9	9	829.5	1	1	1
131658	Date K70 first reported (alcoholic liver disease)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K70. The code corresponds to "alcoholic liver disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	2417	2417	830	1	1	1
131659	Source of report of K70 (alcoholic liver disease)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K70, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "alcoholic liver disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2417	2417	830.5	1	1	1
131660	Date K71 first reported (toxic liver disease)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K71. The code corresponds to "toxic liver disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	226	226	831	1	1	1
131661	Source of report of K71 (toxic liver disease)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K71, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "toxic liver disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	226	226	831.5	1	1	1
131662	Date K72 first reported (hepatic failure, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K72. The code corresponds to "hepatic failure, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	1392	1392	832	1	1	1
131663	Source of report of K72 (hepatic failure, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K72, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hepatic failure, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1392	1392	832.5	1	1	1
131664	Date K73 first reported (chronic hepatitis, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K73. The code corresponds to "chronic hepatitis, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	343	343	833	1	1	1
131665	Source of report of K73 (chronic hepatitis, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K73, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "chronic hepatitis, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	343	343	833.5	1	1	1
131666	Date K74 first reported (fibrosis and cirrhosis of liver)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K74. The code corresponds to "fibrosis and cirrhosis of liver". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	3051	3051	834	1	1	1
131667	Source of report of K74 (fibrosis and cirrhosis of liver)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K74, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "fibrosis and cirrhosis of liver".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3051	3051	834.5	1	1	1
131668	Date K75 first reported (other inflammatory liver diseases)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K75. The code corresponds to "other inflammatory liver diseases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	3357	3357	835	1	1	1
131669	Source of report of K75 (other inflammatory liver diseases)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K75, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other inflammatory liver diseases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3357	3357	835.5	1	1	1
131670	Date K76 first reported (other diseases of liver)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K76. The code corresponds to "other diseases of liver". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	16623	16623	836	1	1	1
131671	Source of report of K76 (other diseases of liver)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K76, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other diseases of liver".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	16623	16623	836.5	1	1	1
131672	Date K77 first reported (liver disorders in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K77. The code corresponds to "liver disorders in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	44	44	837	1	1	1
131673	Source of report of K77 (liver disorders in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K77, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "liver disorders in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	44	44	837.5	1	1	1
131674	Date K80 first reported (cholelithiasis)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K80. The code corresponds to "cholelithiasis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	35436	35436	838	1	1	1
131675	Source of report of K80 (cholelithiasis)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K80, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cholelithiasis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	35436	35436	838.5	1	1	1
131676	Date K81 first reported (cholecystitis)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K81. The code corresponds to "cholecystitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	6839	6839	839	1	1	1
131677	Source of report of K81 (cholecystitis)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K81, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cholecystitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	6839	6839	839.5	1	1	1
131678	Date K82 first reported (other diseases of gallbladder)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K82. The code corresponds to "other diseases of gallbladder". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	4796	4796	840	1	1	1
131679	Source of report of K82 (other diseases of gallbladder)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K82, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other diseases of gallbladder".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	4796	4796	840.5	1	1	1
131680	Date K83 first reported (other diseases of biliary tract)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K83. The code corresponds to "other diseases of biliary tract". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	6162	6162	841	1	1	1
131681	Source of report of K83 (other diseases of biliary tract)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K83, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other diseases of biliary tract".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	6162	6162	841.5	1	1	1
131682	Date K85 first reported (acute pancreatitis)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K85. The code corresponds to "acute pancreatitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	5012	5012	842	1	1	1
131683	Source of report of K85 (acute pancreatitis)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K85, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acute pancreatitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5012	5012	842.5	1	1	1
131684	Date K86 first reported (other diseases of pancreas)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K86. The code corresponds to "other diseases of pancreas". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	3914	3914	843	1	1	1
131685	Source of report of K86 (other diseases of pancreas)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K86, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other diseases of pancreas".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3914	3914	843.5	1	1	1
131686	Date K87 first reported (disorders of gallbladder, biliary tract and pancreas in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K87. The code corresponds to "disorders of gallbladder, biliary tract and pancreas in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	7	7	844	1	1	1
131687	Source of report of K87 (disorders of gallbladder, biliary tract and pancreas in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K87, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of gallbladder, biliary tract and pancreas in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	7	7	844.5	1	1	1
131688	Date K90 first reported (intestinal malabsorption)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K90. The code corresponds to "intestinal malabsorption". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	5705	5705	845	1	1	1
131689	Source of report of K90 (intestinal malabsorption)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K90, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "intestinal malabsorption".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	5705	5705	845.5	1	1	1
131690	Date K91 first reported (postprocedural disorders of digestive system, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K91. The code corresponds to "postprocedural disorders of digestive system, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	3766	3766	846	1	1	1
131691	Source of report of K91 (postprocedural disorders of digestive system, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K91, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "postprocedural disorders of digestive system, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3766	3766	846.5	1	1	1
131692	Date K92 first reported (other diseases of digestive system)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K92. The code corresponds to "other diseases of digestive system". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	26861	26861	847	1	1	1
131693	Source of report of K92 (other diseases of digestive system)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K92, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other diseases of digestive system".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	26861	26861	847.5	1	1	1
131694	Date K93 first reported (disorders of other digestive organs in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2411	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 K93. The code corresponds to "disorders of other digestive organs in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	29	29	848	1	1	1
131695	Source of report of K93 (disorders of other digestive organs in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2411	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 K93, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of other digestive organs in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	29	29	848.5	1	1	1
131696	Date L00 first reported (staphylococcal scalded skin syndrome)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L00. The code corresponds to "staphylococcal scalded skin syndrome". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	10	10	849	1	1	1
131697	Source of report of L00 (staphylococcal scalded skin syndrome)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L00, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "staphylococcal scalded skin syndrome".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	10	10	849.5	1	1	1
131698	Date L01 first reported (impetigo)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L01. The code corresponds to "impetigo". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1501	1501	850	1	1	1
131699	Source of report of L01 (impetigo)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L01, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "impetigo".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1501	1501	850.5	1	1	1
131700	Date L02 first reported (cutaneous abscess, furuncle and carbuncle)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L02. The code corresponds to "cutaneous abscess, furuncle and carbuncle". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	13186	13186	851	1	1	1
131701	Source of report of L02 (cutaneous abscess, furuncle and carbuncle)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L02, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cutaneous abscess, furuncle and carbuncle".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	13186	13186	851.5	1	1	1
131702	Date L03 first reported (cellulitis)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L03. The code corresponds to "cellulitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	34157	34157	852	1	1	1
131703	Source of report of L03 (cellulitis)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L03, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cellulitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	34157	34157	852.5	1	1	1
131704	Date L04 first reported (acute lymphadenitis)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L04. The code corresponds to "acute lymphadenitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	796	796	853	1	1	1
131705	Source of report of L04 (acute lymphadenitis)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L04, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acute lymphadenitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	796	796	853.5	1	1	1
131706	Date L05 first reported (pilonidal cyst)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L05. The code corresponds to "pilonidal cyst". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	1641	1641	854	1	1	1
131707	Source of report of L05 (pilonidal cyst)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L05, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pilonidal cyst".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1641	1641	854.5	1	1	1
131708	Date L08 first reported (other local infections of skin and subcutaneous tissue)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L08. The code corresponds to "other local infections of skin and subcutaneous tissue". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	16058	16058	855	1	1	1
131709	Source of report of L08 (other local infections of skin and subcutaneous tissue)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L08, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other local infections of skin and subcutaneous tissue".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	16058	16058	855.5	1	1	1
131710	Date L10 first reported (pemphigus)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L10. The code corresponds to "pemphigus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	100	100	856	1	1	1
131711	Source of report of L10 (pemphigus)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L10, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pemphigus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	100	100	856.5	1	1	1
131712	Date L11 first reported (other acantholytic disorders)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L11. The code corresponds to "other acantholytic disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	131	131	857	1	1	1
131713	Source of report of L11 (other acantholytic disorders)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L11, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other acantholytic disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	131	131	857.5	1	1	1
131714	Date L12 first reported (pemphigoid)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L12. The code corresponds to "pemphigoid". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	286	286	858	1	1	1
131715	Source of report of L12 (pemphigoid)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L12, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pemphigoid".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	286	286	858.5	1	1	1
131716	Date L13 first reported (other bullous disorders)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L13. The code corresponds to "other bullous disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1043	1043	859	1	1	1
131717	Source of report of L13 (other bullous disorders)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L13, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other bullous disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1043	1043	859.5	1	1	1
131718	Date L14 first reported (bullous disorders in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L14. The code corresponds to "bullous disorders in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	860	1	1	1
131719	Source of report of L14 (bullous disorders in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L14, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "bullous disorders in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	860.5	1	1	1
131720	Date L20 first reported (atopic dermatitis)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L20. The code corresponds to "atopic dermatitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	13926	13926	861	1	1	1
131721	Source of report of L20 (atopic dermatitis)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L20, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "atopic dermatitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	13926	13926	861.5	1	1	1
131722	Date L21 first reported (seborrhoeic dermatitis)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L21. The code corresponds to "seborrhoeic dermatitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	10109	10109	862	1	1	1
131723	Source of report of L21 (seborrhoeic dermatitis)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L21, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "seborrhoeic dermatitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	10109	10109	862.5	1	1	1
131724	Date L22 first reported (diaper [napkin] dermatitis)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L22. The code corresponds to "diaper [napkin] dermatitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	59	59	863	1	1	1
131725	Source of report of L22 (diaper [napkin] dermatitis)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L22, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "diaper [napkin] dermatitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	59	59	863.5	1	1	1
131726	Date L23 first reported (allergic contact dermatitis)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L23. The code corresponds to "allergic contact dermatitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	1436	1436	864	1	1	1
131727	Source of report of L23 (allergic contact dermatitis)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L23, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "allergic contact dermatitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	1436	1436	864.5	1	1	1
131728	Date L24 first reported (irritant contact dermatitis)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L24. The code corresponds to "irritant contact dermatitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1522	1522	865	1	1	1
131729	Source of report of L24 (irritant contact dermatitis)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L24, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "irritant contact dermatitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1522	1522	865.5	1	1	1
131730	Date L25 first reported (unspecified contact dermatitis)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L25. The code corresponds to "unspecified contact dermatitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-03T00:00:00	3319	3319	866	1	1	1
131731	Source of report of L25 (unspecified contact dermatitis)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L25, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified contact dermatitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-03T00:00:00	3319	3319	866.5	1	1	1
131732	Date L26 first reported (exfoliative dermatitis)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L26. The code corresponds to "exfoliative dermatitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	23	23	867	1	1	1
131733	Source of report of L26 (exfoliative dermatitis)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L26, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "exfoliative dermatitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	23	23	867.5	1	1	1
131734	Date L27 first reported (dermatitis due to substances taken internally)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L27. The code corresponds to "dermatitis due to substances taken internally". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1468	1468	868	1	1	1
131735	Source of report of L27 (dermatitis due to substances taken internally)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L27, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "dermatitis due to substances taken internally".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1468	1468	868.5	1	1	1
131736	Date L28 first reported (lichen simplex chronicus and prurigo)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L28. The code corresponds to "lichen simplex chronicus and prurigo". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1769	1769	869	1	1	1
131737	Source of report of L28 (lichen simplex chronicus and prurigo)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L28, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "lichen simplex chronicus and prurigo".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1769	1769	869.5	1	1	1
131738	Date L29 first reported (pruritus)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L29. The code corresponds to "pruritus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	12972	12972	870	1	1	1
131739	Source of report of L29 (pruritus)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L29, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pruritus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	12972	12972	870.5	1	1	1
131740	Date L30 first reported (other dermatitis)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L30. The code corresponds to "other dermatitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	49848	49848	871	1	1	1
131741	Source of report of L30 (other dermatitis)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L30, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other dermatitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	49848	49848	871.5	1	1	1
131742	Date L40 first reported (psoriasis)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L40. The code corresponds to "psoriasis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	15812	15812	872	1	1	1
131743	Source of report of L40 (psoriasis)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L40, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "psoriasis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	15812	15812	872.5	1	1	1
131744	Date L41 first reported (parapsoriasis)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L41. The code corresponds to "parapsoriasis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	128	128	873	1	1	1
131745	Source of report of L41 (parapsoriasis)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L41, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "parapsoriasis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	128	128	873.5	1	1	1
131746	Date L42 first reported (pityriasis rosea)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L42. The code corresponds to "pityriasis rosea". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1656	1656	874	1	1	1
131747	Source of report of L42 (pityriasis rosea)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L42, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pityriasis rosea".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1656	1656	874.5	1	1	1
131748	Date L43 first reported (lichen planus)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L43. The code corresponds to "lichen planus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	2770	2770	875	1	1	1
131749	Source of report of L43 (lichen planus)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L43, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "lichen planus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2770	2770	875.5	1	1	1
131750	Date L44 first reported (other papulosquamous disorders)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L44. The code corresponds to "other papulosquamous disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	73	73	876	1	1	1
131751	Source of report of L44 (other papulosquamous disorders)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L44, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other papulosquamous disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-01-25T00:00:00	73	73	876.5	1	1	1
131752	Date L45 first reported (papulosquamous disorders in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L45. The code corresponds to "papulosquamous disorders in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	877	1	1	1
131753	Source of report of L45 (papulosquamous disorders in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L45, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "papulosquamous disorders in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	877.5	1	1	1
131754	Date L50 first reported (urticaria)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L50. The code corresponds to "urticaria". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	11258	11258	878	1	1	1
131755	Source of report of L50 (urticaria)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L50, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "urticaria".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	11258	11258	878.5	1	1	1
131756	Date L51 first reported (erythema multiforme)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L51. The code corresponds to "erythema multiforme". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	363	363	879	1	1	1
131757	Source of report of L51 (erythema multiforme)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L51, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "erythema multiforme".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	363	363	879.5	1	1	1
131758	Date L52 first reported (erythema nodosum)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L52. The code corresponds to "erythema nodosum". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	322	322	880	1	1	1
131759	Source of report of L52 (erythema nodosum)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L52, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "erythema nodosum".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	322	322	880.5	1	1	1
131760	Date L53 first reported (other erythematous conditions)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L53. The code corresponds to "other erythematous conditions". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1923	1923	881	1	1	1
131761	Source of report of L53 (other erythematous conditions)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L53, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other erythematous conditions".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1923	1923	881.5	1	1	1
131762	Date L54 first reported (erythema in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L54. The code corresponds to "erythema in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	882	1	1	1
131763	Source of report of L54 (erythema in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L54, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "erythema in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	882.5	1	1	1
131764	Date L55 first reported (sunburn)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L55. The code corresponds to "sunburn". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	416	416	883	1	1	1
131765	Source of report of L55 (sunburn)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L55, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "sunburn".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	416	416	883.5	1	1	1
131766	Date L56 first reported (other acute skin changes due to ultraviolet radiation)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L56. The code corresponds to "other acute skin changes due to ultraviolet radiation". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	669	669	884	1	1	1
131767	Source of report of L56 (other acute skin changes due to ultraviolet radiation)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L56, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other acute skin changes due to ultraviolet radiation".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	669	669	884.5	1	1	1
131768	Date L57 first reported (skin changes due to chronic exposure to nonionising radiation)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L57. The code corresponds to "skin changes due to chronic exposure to nonionising radiation". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	21649	21649	885	1	1	1
131769	Source of report of L57 (skin changes due to chronic exposure to nonionising radiation)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L57, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "skin changes due to chronic exposure to nonionising radiation".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	21649	21649	885.5	1	1	1
131770	Date L58 first reported (radiodermatitis)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L58. The code corresponds to "radiodermatitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	31	31	886	1	1	1
131771	Source of report of L58 (radiodermatitis)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L58, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "radiodermatitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	31	31	886.5	1	1	1
131772	Date L59 first reported (other disorders of skin and subcutaneous tissue related to radiation)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L59. The code corresponds to "other disorders of skin and subcutaneous tissue related to radiation". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	82	82	887	1	1	1
131773	Source of report of L59 (other disorders of skin and subcutaneous tissue related to radiation)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L59, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of skin and subcutaneous tissue related to radiation".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	82	82	887.5	1	1	1
131774	Date L60 first reported (nail disorders)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L60. The code corresponds to "nail disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	11533	11533	888	1	1	1
131775	Source of report of L60 (nail disorders)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L60, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "nail disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	11533	11533	888.5	1	1	1
131776	Date L62 first reported (nail disorders in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L62. The code corresponds to "nail disorders in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	889	1	1	1
131777	Source of report of L62 (nail disorders in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L62, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "nail disorders in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	889.5	1	1	1
131778	Date L63 first reported (alopecia areata)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L63. The code corresponds to "alopecia areata". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	944	944	890	1	1	1
131779	Source of report of L63 (alopecia areata)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L63, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "alopecia areata".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	944	944	890.5	1	1	1
131780	Date L64 first reported (androgenic alopecia)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L64. The code corresponds to "androgenic alopecia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	163	163	891	1	1	1
131781	Source of report of L64 (androgenic alopecia)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L64, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "androgenic alopecia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	163	163	891.5	1	1	1
131782	Date L65 first reported (other nonscarring hair loss)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L65. The code corresponds to "other nonscarring hair loss". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	3471	3471	892	1	1	1
131783	Source of report of L65 (other nonscarring hair loss)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L65, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other nonscarring hair loss".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3471	3471	892.5	1	1	1
131784	Date L66 first reported (cicatricial alopecia [scarring hair loss])	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L66. The code corresponds to "cicatricial alopecia [scarring hair loss]". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	243	243	893	1	1	1
131785	Source of report of L66 (cicatricial alopecia [scarring hair loss])	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L66, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cicatricial alopecia [scarring hair loss]".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	243	243	893.5	1	1	1
131786	Date L67 first reported (hair colour and hair shaft abnormalities)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L67. The code corresponds to "hair colour and hair shaft abnormalities". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	43	43	894	1	1	1
131787	Source of report of L67 (hair colour and hair shaft abnormalities)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L67, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hair colour and hair shaft abnormalities".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	43	43	894.5	1	1	1
131788	Date L68 first reported (hypertrichosis)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L68. The code corresponds to "hypertrichosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-01-25T00:00:00	541	541	895	1	1	1
131789	Source of report of L68 (hypertrichosis)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L68, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hypertrichosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	541	541	895.5	1	1	1
131790	Date L70 first reported (acne)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L70. The code corresponds to "acne". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	6311	6311	896	1	1	1
131791	Source of report of L70 (acne)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L70, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acne".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	6311	6311	896.5	1	1	1
131792	Date L71 first reported (rosacea)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L71. The code corresponds to "rosacea". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	6286	6286	897	1	1	1
131793	Source of report of L71 (rosacea)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L71, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "rosacea".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	6286	6286	897.5	1	1	1
131794	Date L72 first reported (follicular cysts of skin and subcutaneous tissue)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L72. The code corresponds to "follicular cysts of skin and subcutaneous tissue". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	16586	16586	898	1	1	1
131795	Source of report of L72 (follicular cysts of skin and subcutaneous tissue)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L72, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "follicular cysts of skin and subcutaneous tissue".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	16586	16586	898.5	1	1	1
131796	Date L73 first reported (other follicular disorders)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L73. The code corresponds to "other follicular disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	3923	3923	899	1	1	1
131797	Source of report of L73 (other follicular disorders)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L73, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other follicular disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3923	3923	899.5	1	1	1
131798	Date L74 first reported (eccrine sweat disorders)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L74. The code corresponds to "eccrine sweat disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1140	1140	900	1	1	1
131799	Source of report of L74 (eccrine sweat disorders)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L74, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "eccrine sweat disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1140	1140	900.5	1	1	1
131800	Date L75 first reported (apocrine sweat disorders)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L75. The code corresponds to "apocrine sweat disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	20	20	901	1	1	1
131801	Source of report of L75 (apocrine sweat disorders)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L75, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "apocrine sweat disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	20	20	901.5	1	1	1
131802	Date L80 first reported (vitiligo)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L80. The code corresponds to "vitiligo". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	1233	1233	902	1	1	1
131803	Source of report of L80 (vitiligo)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L80, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "vitiligo".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1233	1233	902.5	1	1	1
131804	Date L81 first reported (other disorders of pigmentation)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L81. The code corresponds to "other disorders of pigmentation". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	5015	5015	903	1	1	1
131805	Source of report of L81 (other disorders of pigmentation)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L81, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of pigmentation".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5015	5015	903.5	1	1	1
131806	Date L82 first reported (seborrhoeic keratosis)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L82. The code corresponds to "seborrhoeic keratosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	31933	31933	904	1	1	1
131807	Source of report of L82 (seborrhoeic keratosis)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L82, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "seborrhoeic keratosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	31933	31933	904.5	1	1	1
131808	Date L83 first reported (acanthosis nigricans)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L83. The code corresponds to "acanthosis nigricans". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	244	244	905	1	1	1
131809	Source of report of L83 (acanthosis nigricans)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L83, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acanthosis nigricans".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	244	244	905.5	1	1	1
131810	Date L84 first reported (corns and callosities)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L84. The code corresponds to "corns and callosities". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	3939	3939	906	1	1	1
131811	Source of report of L84 (corns and callosities)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L84, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "corns and callosities".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3939	3939	906.5	1	1	1
131812	Date L85 first reported (other epidermal thickening)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L85. The code corresponds to "other epidermal thickening". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	4155	4155	907	1	1	1
131813	Source of report of L85 (other epidermal thickening)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L85, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other epidermal thickening".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	4155	4155	907.5	1	1	1
131814	Date L86 first reported (keratoderma in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L86. The code corresponds to "keratoderma in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	908	1	1	1
131815	Source of report of L86 (keratoderma in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L86, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "keratoderma in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	908.5	1	1	1
131816	Date L87 first reported (transepidermal elimination disorders)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L87. The code corresponds to "transepidermal elimination disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	21	21	909	1	1	1
131817	Source of report of L87 (transepidermal elimination disorders)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L87, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "transepidermal elimination disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	21	21	909.5	1	1	1
131818	Date L88 first reported (pyoderma gangrenosum)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L88. The code corresponds to "pyoderma gangrenosum". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	95	95	910	1	1	1
131819	Source of report of L88 (pyoderma gangrenosum)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L88, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pyoderma gangrenosum".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	95	95	910.5	1	1	1
131820	Date L89 first reported (decubitus ulcer)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L89. The code corresponds to "decubitus ulcer". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	6332	6332	911	1	1	1
131821	Source of report of L89 (decubitus ulcer)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L89, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "decubitus ulcer".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	6332	6332	911.5	1	1	1
131822	Date L90 first reported (atrophic disorders of skin)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L90. The code corresponds to "atrophic disorders of skin". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	6682	6682	912	1	1	1
131823	Source of report of L90 (atrophic disorders of skin)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L90, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "atrophic disorders of skin".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	6682	6682	912.5	1	1	1
131824	Date L91 first reported (hypertrophic disorders of skin)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L91. The code corresponds to "hypertrophic disorders of skin". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	5319	5319	913	1	1	1
131825	Source of report of L91 (hypertrophic disorders of skin)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L91, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hypertrophic disorders of skin".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	5319	5319	913.5	1	1	1
131826	Date L92 first reported (granulomatous disorders of skin and subcutaneous tissue)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L92. The code corresponds to "granulomatous disorders of skin and subcutaneous tissue". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	2011	2011	914	1	1	1
131827	Source of report of L92 (granulomatous disorders of skin and subcutaneous tissue)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L92, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "granulomatous disorders of skin and subcutaneous tissue".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2011	2011	914.5	1	1	1
131828	Date L93 first reported (lupus erythematosus)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L93. The code corresponds to "lupus erythematosus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	547	547	915	1	1	1
131829	Source of report of L93 (lupus erythematosus)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L93, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "lupus erythematosus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	547	547	915.5	1	1	1
131830	Date L94 first reported (other localised connective tissue disorders)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L94. The code corresponds to "other localised connective tissue disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	649	649	916	1	1	1
131831	Source of report of L94 (other localised connective tissue disorders)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L94, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other localised connective tissue disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	649	649	916.5	1	1	1
131832	Date L95 first reported (vasculitis limited to skin, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L95. The code corresponds to "vasculitis limited to skin, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	374	374	917	1	1	1
131833	Source of report of L95 (vasculitis limited to skin, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L95, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "vasculitis limited to skin, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	374	374	917.5	1	1	1
131834	Date L97 first reported (ulcer of lower limb, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L97. The code corresponds to "ulcer of lower limb, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	4344	4344	918	1	1	1
131835	Source of report of L97 (ulcer of lower limb, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L97, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "ulcer of lower limb, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	4344	4344	918.5	1	1	1
131836	Date L98 first reported (other disorders of skin and subcutaneous tissue, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L98. The code corresponds to "other disorders of skin and subcutaneous tissue, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	49626	49626	919	1	1	1
131837	Source of report of L98 (other disorders of skin and subcutaneous tissue, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L98, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of skin and subcutaneous tissue, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	49626	49626	919.5	1	1	1
131838	Date L99 first reported (other disorders of skin and subcutaneous tissue in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2412	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 L99. The code corresponds to "other disorders of skin and subcutaneous tissue in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	27	27	920	1	1	1
131839	Source of report of L99 (other disorders of skin and subcutaneous tissue in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2412	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 L99, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of skin and subcutaneous tissue in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	27	27	920.5	1	1	1
131840	Date M00 first reported (pyogenic arthritis)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M00. The code corresponds to "pyogenic arthritis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1030	1030	921	1	1	1
131841	Source of report of M00 (pyogenic arthritis)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M00, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pyogenic arthritis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1030	1030	921.5	1	1	1
131842	Date M01 first reported (direct infections of joint in infectious and parasitic diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M01. The code corresponds to "direct infections of joint in infectious and parasitic diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	38	38	922	1	1	1
131843	Source of report of M01 (direct infections of joint in infectious and parasitic diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M01, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "direct infections of joint in infectious and parasitic diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	38	38	922.5	1	1	1
131844	Date M02 first reported (reactive arthropathies)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M02. The code corresponds to "reactive arthropathies". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	293	293	923	1	1	1
131845	Source of report of M02 (reactive arthropathies)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M02, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "reactive arthropathies".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	293	293	923.5	1	1	1
131846	Date M03 first reported (postinfective and reactive arthropathies in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M03. The code corresponds to "postinfective and reactive arthropathies in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	14	14	924	1	1	1
131847	Source of report of M03 (postinfective and reactive arthropathies in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M03, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "postinfective and reactive arthropathies in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	14	14	924.5	1	1	1
131848	Date M05 first reported (seropositive rheumatoid arthritis)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M05. The code corresponds to "seropositive rheumatoid arthritis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1524	1524	925	1	1	1
131849	Source of report of M05 (seropositive rheumatoid arthritis)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M05, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "seropositive rheumatoid arthritis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1524	1524	925.5	1	1	1
131850	Date M06 first reported (other rheumatoid arthritis)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M06. The code corresponds to "other rheumatoid arthritis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	13214	13214	926	1	1	1
131851	Source of report of M06 (other rheumatoid arthritis)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M06, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other rheumatoid arthritis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	13214	13214	926.5	1	1	1
131852	Date M07 first reported (psoriatic and enteropathic arthropathies)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M07. The code corresponds to "psoriatic and enteropathic arthropathies". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1617	1617	927	1	1	1
131853	Source of report of M07 (psoriatic and enteropathic arthropathies)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M07, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "psoriatic and enteropathic arthropathies".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1617	1617	927.5	1	1	1
131854	Date M08 first reported (juvenile arthritis)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M08. The code corresponds to "juvenile arthritis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	107	107	928	1	1	1
131855	Source of report of M08 (juvenile arthritis)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M08, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "juvenile arthritis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	107	107	928.5	1	1	1
131856	Date M09 first reported (juvenile arthritis in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M09. The code corresponds to "juvenile arthritis in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	5	5	929	1	1	1
131857	Source of report of M09 (juvenile arthritis in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M09, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "juvenile arthritis in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	5	5	929.5	1	1	1
131858	Date M10 first reported (gout)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M10. The code corresponds to "gout". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	20742	20742	930	1	1	1
131859	Source of report of M10 (gout)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M10, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "gout".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	20742	20742	930.5	1	1	1
131860	Date M11 first reported (other crystal arthropathies)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M11. The code corresponds to "other crystal arthropathies". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1314	1314	931	1	1	1
131861	Source of report of M11 (other crystal arthropathies)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M11, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other crystal arthropathies".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1314	1314	931.5	1	1	1
131862	Date M12 first reported (other specific arthropathies)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M12. The code corresponds to "other specific arthropathies". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	782	782	932	1	1	1
131863	Source of report of M12 (other specific arthropathies)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M12, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other specific arthropathies".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	782	782	932.5	1	1	1
131864	Date M13 first reported (other arthritis)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M13. The code corresponds to "other arthritis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	45788	45788	933	1	1	1
131865	Source of report of M13 (other arthritis)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M13, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other arthritis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	45788	45788	933.5	1	1	1
131866	Date M14 first reported (arthropathies in other diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M14. The code corresponds to "arthropathies in other diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	316	316	934	1	1	1
131867	Source of report of M14 (arthropathies in other diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M14, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "arthropathies in other diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	316	316	934.5	1	1	1
131868	Date M15 first reported (polyarthrosis)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M15. The code corresponds to "polyarthrosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	16533	16533	935	1	1	1
131869	Source of report of M15 (polyarthrosis)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M15, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "polyarthrosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	16533	16533	935.5	1	1	1
131870	Date M16 first reported (coxarthrosis [arthrosis of hip])	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M16. The code corresponds to "coxarthrosis [arthrosis of hip]". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	28793	28793	936	1	1	1
131871	Source of report of M16 (coxarthrosis [arthrosis of hip])	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M16, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "coxarthrosis [arthrosis of hip]".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	28793	28793	936.5	1	1	1
131872	Date M17 first reported (gonarthrosis [arthrosis of knee])	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M17. The code corresponds to "gonarthrosis [arthrosis of knee]". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	47899	47899	937	1	1	1
131873	Source of report of M17 (gonarthrosis [arthrosis of knee])	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M17, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "gonarthrosis [arthrosis of knee]".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	47899	47899	937.5	1	1	1
131874	Date M18 first reported (arthrosis of first carpometacarpal joint)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M18. The code corresponds to "arthrosis of first carpometacarpal joint". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	3030	3030	938	1	1	1
131875	Source of report of M18 (arthrosis of first carpometacarpal joint)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M18, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "arthrosis of first carpometacarpal joint".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	3030	3030	938.5	1	1	1
131876	Date M19 first reported (other arthrosis)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M19. The code corresponds to "other arthrosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	91841	91841	939	1	1	1
131877	Source of report of M19 (other arthrosis)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M19, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other arthrosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	91841	91841	939.5	1	1	1
131878	Date M20 first reported (acquired deformities of fingers and toes)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M20. The code corresponds to "acquired deformities of fingers and toes". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	22451	22451	940	1	1	1
131879	Source of report of M20 (acquired deformities of fingers and toes)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M20, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acquired deformities of fingers and toes".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	22451	22451	940.5	1	1	1
131880	Date M21 first reported (other acquired deformities of limbs)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M21. The code corresponds to "other acquired deformities of limbs". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	6267	6267	941	1	1	1
131881	Source of report of M21 (other acquired deformities of limbs)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M21, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other acquired deformities of limbs".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	6267	6267	941.5	1	1	1
131882	Date M22 first reported (disorders of patella)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M22. The code corresponds to "disorders of patella". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	3368	3368	942	1	1	1
131883	Source of report of M22 (disorders of patella)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M22, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of patella".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3368	3368	942.5	1	1	1
131884	Date M23 first reported (internal derangement of knee)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M23. The code corresponds to "internal derangement of knee". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	23765	23765	943	1	1	1
131885	Source of report of M23 (internal derangement of knee)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M23, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "internal derangement of knee".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	23765	23765	943.5	1	1	1
131886	Date M24 first reported (other specific joint derangements)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M24. The code corresponds to "other specific joint derangements". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	5507	5507	944	1	1	1
131887	Source of report of M24 (other specific joint derangements)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M24, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other specific joint derangements".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	5507	5507	944.5	1	1	1
131888	Date M25 first reported (other joint disorders, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M25. The code corresponds to "other joint disorders, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	93883	93883	945	1	1	1
131889	Source of report of M25 (other joint disorders, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M25, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other joint disorders, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	93883	93883	945.5	1	1	1
131890	Date M30 first reported (polyarteritis nodosa and related conditions)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M30. The code corresponds to "polyarteritis nodosa and related conditions". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	228	228	946	1	1	1
131891	Source of report of M30 (polyarteritis nodosa and related conditions)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M30, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "polyarteritis nodosa and related conditions".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	228	228	946.5	1	1	1
131892	Date M31 first reported (other necrotising vasculopathies)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M31. The code corresponds to "other necrotising vasculopathies". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	2200	2200	947	1	1	1
131893	Source of report of M31 (other necrotising vasculopathies)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M31, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other necrotising vasculopathies".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	2200	2200	947.5	1	1	1
131894	Date M32 first reported (systemic lupus erythematosus)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M32. The code corresponds to "systemic lupus erythematosus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	1093	1093	948	1	1	1
131895	Source of report of M32 (systemic lupus erythematosus)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M32, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "systemic lupus erythematosus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1093	1093	948.5	1	1	1
131896	Date M33 first reported (dermatopolymyositis)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M33. The code corresponds to "dermatopolymyositis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	282	282	949	1	1	1
131897	Source of report of M33 (dermatopolymyositis)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M33, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "dermatopolymyositis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	282	282	949.5	1	1	1
131898	Date M34 first reported (systemic sclerosis)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M34. The code corresponds to "systemic sclerosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	486	486	950	1	1	1
131899	Source of report of M34 (systemic sclerosis)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M34, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "systemic sclerosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	486	486	950.5	1	1	1
131900	Date M35 first reported (other systemic involvement of connective tissue)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M35. The code corresponds to "other systemic involvement of connective tissue". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	7972	7972	951	1	1	1
131901	Source of report of M35 (other systemic involvement of connective tissue)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M35, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other systemic involvement of connective tissue".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	7972	7972	951.5	1	1	1
131902	Date M36 first reported (systemic disorders of connective tissue in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M36. The code corresponds to "systemic disorders of connective tissue in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	59	59	952	1	1	1
131903	Source of report of M36 (systemic disorders of connective tissue in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M36, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "systemic disorders of connective tissue in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	59	59	952.5	1	1	1
131904	Date M40 first reported (kyphosis and lordosis)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M40. The code corresponds to "kyphosis and lordosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	1169	1169	953	1	1	1
131905	Source of report of M40 (kyphosis and lordosis)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M40, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "kyphosis and lordosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1169	1169	953.5	1	1	1
131906	Date M41 first reported (scoliosis)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M41. The code corresponds to "scoliosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	4861	4861	954	1	1	1
131907	Source of report of M41 (scoliosis)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M41, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "scoliosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	4861	4861	954.5	1	1	1
131908	Date M42 first reported (spinal osteochondrosis)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M42. The code corresponds to "spinal osteochondrosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	188	188	955	1	1	1
131909	Source of report of M42 (spinal osteochondrosis)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M42, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "spinal osteochondrosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	188	188	955.5	1	1	1
131910	Date M43 first reported (other deforming dorsopathies)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M43. The code corresponds to "other deforming dorsopathies". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	7220	7220	956	1	1	1
131911	Source of report of M43 (other deforming dorsopathies)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M43, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other deforming dorsopathies".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	7220	7220	956.5	1	1	1
131912	Date M45 first reported (ankylosing spondylitis)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M45. The code corresponds to "ankylosing spondylitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	2203	2203	957	1	1	1
131913	Source of report of M45 (ankylosing spondylitis)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M45, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "ankylosing spondylitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2203	2203	957.5	1	1	1
131914	Date M46 first reported (other inflammatory spondylopathies)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M46. The code corresponds to "other inflammatory spondylopathies". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	5313	5313	958	1	1	1
131915	Source of report of M46 (other inflammatory spondylopathies)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M46, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other inflammatory spondylopathies".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5313	5313	958.5	1	1	1
131916	Date M47 first reported (spondylosis)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M47. The code corresponds to "spondylosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	37504	37504	959	1	1	1
131917	Source of report of M47 (spondylosis)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M47, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "spondylosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	37504	37504	959.5	1	1	1
131918	Date M48 first reported (other spondylopathies)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M48. The code corresponds to "other spondylopathies". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	17918	17918	960	1	1	1
131919	Source of report of M48 (other spondylopathies)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M48, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other spondylopathies".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	17918	17918	960.5	1	1	1
131920	Date M49 first reported (spondylopathies in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M49. The code corresponds to "spondylopathies in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	434	434	961	1	1	1
131921	Source of report of M49 (spondylopathies in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M49, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "spondylopathies in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	434	434	961.5	1	1	1
131922	Date M50 first reported (cervical disk disorders)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M50. The code corresponds to "cervical disk disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	5234	5234	962	1	1	1
131923	Source of report of M50 (cervical disk disorders)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M50, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cervical disk disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5234	5234	962.5	1	1	1
131924	Date M51 first reported (other intervertebral disk disorders)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M51. The code corresponds to "other intervertebral disk disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	29212	29212	963	1	1	1
131925	Source of report of M51 (other intervertebral disk disorders)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M51, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other intervertebral disk disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	29212	29212	963.5	1	1	1
131926	Date M53 first reported (other dorsopathies, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M53. The code corresponds to "other dorsopathies, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	6577	6577	964	1	1	1
131927	Source of report of M53 (other dorsopathies, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M53, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other dorsopathies, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	6577	6577	964.5	1	1	1
131928	Date M54 first reported (dorsalgia)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M54. The code corresponds to "dorsalgia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	82841	82841	965	1	1	1
131929	Source of report of M54 (dorsalgia)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M54, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "dorsalgia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	82841	82841	965.5	1	1	1
131930	Date M60 first reported (myositis)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M60. The code corresponds to "myositis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	830	830	966	1	1	1
131931	Source of report of M60 (myositis)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M60, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "myositis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	830	830	966.5	1	1	1
131932	Date M61 first reported (calcification and ossification of muscle)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M61. The code corresponds to "calcification and ossification of muscle". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	91	91	967	1	1	1
131933	Source of report of M61 (calcification and ossification of muscle)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M61, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "calcification and ossification of muscle".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	91	91	967.5	1	1	1
131934	Date M62 first reported (other disorders of muscle)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M62. The code corresponds to "other disorders of muscle". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	5393	5393	968	1	1	1
131935	Source of report of M62 (other disorders of muscle)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M62, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of muscle".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5393	5393	968.5	1	1	1
131936	Date M63 first reported (disorders of muscle in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M63. The code corresponds to "disorders of muscle in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	5	5	969	1	1	1
131937	Source of report of M63 (disorders of muscle in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M63, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of muscle in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	5	5	969.5	1	1	1
131938	Date M65 first reported (synovitis and tenosynovitis)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M65. The code corresponds to "synovitis and tenosynovitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	20740	20740	970	1	1	1
131939	Source of report of M65 (synovitis and tenosynovitis)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M65, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "synovitis and tenosynovitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	20740	20740	970.5	1	1	1
131940	Date M66 first reported (spontaneous rupture of synovium and tendon)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M66. The code corresponds to "spontaneous rupture of synovium and tendon". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1566	1566	971	1	1	1
131941	Source of report of M66 (spontaneous rupture of synovium and tendon)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M66, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "spontaneous rupture of synovium and tendon".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1566	1566	971.5	1	1	1
131942	Date M67 first reported (other disorders of synovium and tendon)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M67. The code corresponds to "other disorders of synovium and tendon". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	12387	12387	972	1	1	1
131943	Source of report of M67 (other disorders of synovium and tendon)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M67, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of synovium and tendon".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	12387	12387	972.5	1	1	1
131944	Date M68 first reported (disorders of synovium and tendon in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M68. The code corresponds to "disorders of synovium and tendon in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	5	5	973	1	1	1
131945	Source of report of M68 (disorders of synovium and tendon in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M68, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of synovium and tendon in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	5	5	973.5	1	1	1
131946	Date M70 first reported (soft tissue disorders related to use, overuse and pressure)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M70. The code corresponds to "soft tissue disorders related to use, overuse and pressure". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	17025	17025	974	1	1	1
131947	Source of report of M70 (soft tissue disorders related to use, overuse and pressure)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M70, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "soft tissue disorders related to use, overuse and pressure".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	17025	17025	974.5	1	1	1
131948	Date M71 first reported (other bursopathies)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M71. The code corresponds to "other bursopathies". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	3865	3865	975	1	1	1
131949	Source of report of M71 (other bursopathies)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M71, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other bursopathies".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	3865	3865	975.5	1	1	1
131950	Date M72 first reported (fibroblastic disorders)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M72. The code corresponds to "fibroblastic disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	25380	25380	976	1	1	1
131951	Source of report of M72 (fibroblastic disorders)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M72, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "fibroblastic disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	25380	25380	976.5	1	1	1
131952	Date M73 first reported (soft tissue disorders in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M73. The code corresponds to "soft tissue disorders in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	977	1	1	1
131953	Source of report of M73 (soft tissue disorders in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M73, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "soft tissue disorders in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	977.5	1	1	1
131954	Date M75 first reported (shoulder lesions)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M75. The code corresponds to "shoulder lesions". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	35204	35204	978	1	1	1
131955	Source of report of M75 (shoulder lesions)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M75, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "shoulder lesions".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	35204	35204	978.5	1	1	1
131956	Date M76 first reported (enthesopathies of lower limb, excluding foot)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M76. The code corresponds to "enthesopathies of lower limb, excluding foot". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	8275	8275	979	1	1	1
131957	Source of report of M76 (enthesopathies of lower limb, excluding foot)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M76, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "enthesopathies of lower limb, excluding foot".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	8275	8275	979.5	1	1	1
131958	Date M77 first reported (other enthesopathies)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M77. The code corresponds to "other enthesopathies". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	33251	33251	980	1	1	1
131959	Source of report of M77 (other enthesopathies)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M77, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other enthesopathies".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	33251	33251	980.5	1	1	1
131960	Date M79 first reported (other soft tissue disorders, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M79. The code corresponds to "other soft tissue disorders, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	91041	91041	981	1	1	1
131961	Source of report of M79 (other soft tissue disorders, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M79, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other soft tissue disorders, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	91041	91041	981.5	1	1	1
131962	Date M80 first reported (osteoporosis with pathological fracture)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M80. The code corresponds to "osteoporosis with pathological fracture". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2742	2742	982	1	1	1
131963	Source of report of M80 (osteoporosis with pathological fracture)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M80, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "osteoporosis with pathological fracture".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2742	2742	982.5	1	1	1
131964	Date M81 first reported (osteoporosis without pathological fracture)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M81. The code corresponds to "osteoporosis without pathological fracture". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	26849	26849	983	1	1	1
131965	Source of report of M81 (osteoporosis without pathological fracture)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M81, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "osteoporosis without pathological fracture".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	26849	26849	983.5	1	1	1
131966	Date M82 first reported (osteoporosis in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M82. The code corresponds to "osteoporosis in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	202	202	984	1	1	1
131967	Source of report of M82 (osteoporosis in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M82, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "osteoporosis in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	202	202	984.5	1	1	1
131968	Date M83 first reported (adult osteomalacia)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M83. The code corresponds to "adult osteomalacia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	142	142	985	1	1	1
131969	Source of report of M83 (adult osteomalacia)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M83, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "adult osteomalacia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	142	142	985.5	1	1	1
131970	Date M84 first reported (disorders of continuity of bone)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M84. The code corresponds to "disorders of continuity of bone". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	4425	4425	986	1	1	1
131971	Source of report of M84 (disorders of continuity of bone)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M84, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of continuity of bone".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	4425	4425	986.5	1	1	1
131972	Date M85 first reported (other disorders of bone density and structure)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M85. The code corresponds to "other disorders of bone density and structure". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	16665	16665	987	1	1	1
131973	Source of report of M85 (other disorders of bone density and structure)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M85, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of bone density and structure".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	16665	16665	987.5	1	1	1
131974	Date M86 first reported (osteomyelitis)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M86. The code corresponds to "osteomyelitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	2916	2916	988	1	1	1
131975	Source of report of M86 (osteomyelitis)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M86, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "osteomyelitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2916	2916	988.5	1	1	1
131976	Date M87 first reported (osteonecrosis)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M87. The code corresponds to "osteonecrosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1267	1267	989	1	1	1
131977	Source of report of M87 (osteonecrosis)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M87, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "osteonecrosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1267	1267	989.5	1	1	1
131978	Date M88 first reported (paget's disease of bone [osteitis deformans])	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M88. The code corresponds to "paget's disease of bone [osteitis deformans]". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	585	585	990	1	1	1
131979	Source of report of M88 (paget's disease of bone [osteitis deformans])	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M88, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "paget's disease of bone [osteitis deformans]".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	585	585	990.5	1	1	1
131980	Date M89 first reported (other disorders of bone)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M89. The code corresponds to "other disorders of bone". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	6021	6021	991	1	1	1
131981	Source of report of M89 (other disorders of bone)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M89, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of bone".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	6021	6021	991.5	1	1	1
131982	Date M90 first reported (osteopathies in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M90. The code corresponds to "osteopathies in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	1045	1045	992	1	1	1
131983	Source of report of M90 (osteopathies in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M90, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "osteopathies in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1045	1045	992.5	1	1	1
131984	Date M91 first reported (juvenile osteochondrosis of hip and pelvis)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M91. The code corresponds to "juvenile osteochondrosis of hip and pelvis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	214	214	993	1	1	1
131985	Source of report of M91 (juvenile osteochondrosis of hip and pelvis)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M91, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "juvenile osteochondrosis of hip and pelvis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	214	214	993.5	1	1	1
131986	Date M92 first reported (other juvenile osteochondrosis)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M92. The code corresponds to "other juvenile osteochondrosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	709	709	994	1	1	1
131987	Source of report of M92 (other juvenile osteochondrosis)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M92, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other juvenile osteochondrosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	709	709	994.5	1	1	1
131988	Date M93 first reported (other osteochondropathies)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M93. The code corresponds to "other osteochondropathies". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	896	896	995	1	1	1
131989	Source of report of M93 (other osteochondropathies)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M93, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other osteochondropathies".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	896	896	995.5	1	1	1
131990	Date M94 first reported (other disorders of cartilage)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M94. The code corresponds to "other disorders of cartilage". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	3002	3002	996	1	1	1
131991	Source of report of M94 (other disorders of cartilage)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M94, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of cartilage".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3002	3002	996.5	1	1	1
131992	Date M95 first reported (other acquired deformities of musculoskeletal system and connective tissue)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M95. The code corresponds to "other acquired deformities of musculoskeletal system and connective tissue". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2270	2270	997	1	1	1
131993	Source of report of M95 (other acquired deformities of musculoskeletal system and connective tissue)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M95, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other acquired deformities of musculoskeletal system and connective tissue".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2270	2270	997.5	1	1	1
131994	Date M96 first reported (postprocedural musculoskeletal disorders, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M96. The code corresponds to "postprocedural musculoskeletal disorders, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	1337	1337	998	1	1	1
131995	Source of report of M96 (postprocedural musculoskeletal disorders, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M96, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "postprocedural musculoskeletal disorders, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1337	1337	998.5	1	1	1
131996	Date M99 first reported (biomechanical lesions, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2413	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 M99. The code corresponds to "biomechanical lesions, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	591	591	999	1	1	1
131997	Source of report of M99 (biomechanical lesions, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2413	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 M99, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "biomechanical lesions, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	591	591	999.5	1	1	1
131998	Date N00 first reported (acute nephritic syndrome)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N00. The code corresponds to "acute nephritic syndrome". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	307	307	1000	1	1	1
131999	Source of report of N00 (acute nephritic syndrome)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N00, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acute nephritic syndrome".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	307	307	1000.5	1	1	1
132000	Date N01 first reported (rapidly progressive nephritic syndrome)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N01. The code corresponds to "rapidly progressive nephritic syndrome". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	22	22	1001	1	1	1
132001	Source of report of N01 (rapidly progressive nephritic syndrome)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N01, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "rapidly progressive nephritic syndrome".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	22	22	1001.5	1	1	1
132002	Date N02 first reported (recurrent and persistent haematuria)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N02. The code corresponds to "recurrent and persistent haematuria". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1617	1617	1002	1	1	1
132003	Source of report of N02 (recurrent and persistent haematuria)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N02, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "recurrent and persistent haematuria".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1617	1617	1002.5	1	1	1
132004	Date N03 first reported (chronic nephritic syndrome)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N03. The code corresponds to "chronic nephritic syndrome". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1297	1297	1003	1	1	1
132005	Source of report of N03 (chronic nephritic syndrome)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N03, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "chronic nephritic syndrome".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1297	1297	1003.5	1	1	1
132006	Date N04 first reported (nephrotic syndrome)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N04. The code corresponds to "nephrotic syndrome". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	506	506	1004	1	1	1
132007	Source of report of N04 (nephrotic syndrome)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N04, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "nephrotic syndrome".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	506	506	1004.5	1	1	1
132008	Date N05 first reported (unspecified nephritic syndrome)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N05. The code corresponds to "unspecified nephritic syndrome". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	888	888	1005	1	1	1
132009	Source of report of N05 (unspecified nephritic syndrome)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N05, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified nephritic syndrome".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	888	888	1005.5	1	1	1
132010	Date N06 first reported (isolated proteinuria with specified morphological lesion)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N06. The code corresponds to "isolated proteinuria with specified morphological lesion". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	23	23	1006	1	1	1
132011	Source of report of N06 (isolated proteinuria with specified morphological lesion)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N06, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "isolated proteinuria with specified morphological lesion".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	23	23	1006.5	1	1	1
132012	Date N07 first reported (hereditary nephropathy, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N07. The code corresponds to "hereditary nephropathy, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	15	15	1007	1	1	1
132013	Source of report of N07 (hereditary nephropathy, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N07, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hereditary nephropathy, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	15	15	1007.5	1	1	1
132014	Date N08 first reported (glomerular disorders in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N08. The code corresponds to "glomerular disorders in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	1275	1275	1008	1	1	1
132015	Source of report of N08 (glomerular disorders in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N08, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "glomerular disorders in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1275	1275	1008.5	1	1	1
132016	Date N10 first reported (acute tubulo-interstitial nephritis)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N10. The code corresponds to "acute tubulo-interstitial nephritis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1665	1665	1009	1	1	1
132017	Source of report of N10 (acute tubulo-interstitial nephritis)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N10, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acute tubulo-interstitial nephritis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1665	1665	1009.5	1	1	1
132018	Date N11 first reported (chronic tubulo-interstitial nephritis)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N11. The code corresponds to "chronic tubulo-interstitial nephritis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	379	379	1010	1	1	1
132019	Source of report of N11 (chronic tubulo-interstitial nephritis)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N11, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "chronic tubulo-interstitial nephritis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	379	379	1010.5	1	1	1
132020	Date N12 first reported (tubulo-interstitial nephritis, not specified as acute or chronic)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N12. The code corresponds to "tubulo-interstitial nephritis, not specified as acute or chronic". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2891	2891	1011	1	1	1
132021	Source of report of N12 (tubulo-interstitial nephritis, not specified as acute or chronic)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N12, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "tubulo-interstitial nephritis, not specified as acute or chronic".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2891	2891	1011.5	1	1	1
132022	Date N13 first reported (obstructive and reflux uropathy)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N13. The code corresponds to "obstructive and reflux uropathy". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	7857	7857	1012	1	1	1
132023	Source of report of N13 (obstructive and reflux uropathy)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N13, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "obstructive and reflux uropathy".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	7857	7857	1012.5	1	1	1
132024	Date N14 first reported (drug- and heavy-metal-induced tubulo-interstitial and tubular conditions)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N14. The code corresponds to "drug- and heavy-metal-induced tubulo-interstitial and tubular conditions". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	107	107	1013	1	1	1
132025	Source of report of N14 (drug- and heavy-metal-induced tubulo-interstitial and tubular conditions)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N14, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "drug- and heavy-metal-induced tubulo-interstitial and tubular conditions".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	107	107	1013.5	1	1	1
132026	Date N15 first reported (other renal tubulo-interstitial diseases)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N15. The code corresponds to "other renal tubulo-interstitial diseases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	252	252	1014	1	1	1
132027	Source of report of N15 (other renal tubulo-interstitial diseases)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N15, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other renal tubulo-interstitial diseases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	252	252	1014.5	1	1	1
132028	Date N16 first reported (renal tubulo-interstitial disorders in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N16. The code corresponds to "renal tubulo-interstitial disorders in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	81	81	1015	1	1	1
132029	Source of report of N16 (renal tubulo-interstitial disorders in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N16, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "renal tubulo-interstitial disorders in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	81	81	1015.5	1	1	1
132030	Date N17 first reported (acute renal failure)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N17. The code corresponds to "acute renal failure". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	25818	25818	1016	1	1	1
132031	Source of report of N17 (acute renal failure)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N17, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "acute renal failure".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	25818	25818	1016.5	1	1	1
132032	Date N18 first reported (chronic renal failure)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N18. The code corresponds to "chronic renal failure". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	30780	30780	1017	1	1	1
132033	Source of report of N18 (chronic renal failure)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N18, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "chronic renal failure".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	30780	30780	1017.5	1	1	1
132034	Date N19 first reported (unspecified renal failure)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N19. The code corresponds to "unspecified renal failure". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	3878	3878	1018	1	1	1
132035	Source of report of N19 (unspecified renal failure)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N19, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified renal failure".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3878	3878	1018.5	1	1	1
132036	Date N20 first reported (calculus of kidney and ureter)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N20. The code corresponds to "calculus of kidney and ureter". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	12805	12805	1019	1	1	1
132037	Source of report of N20 (calculus of kidney and ureter)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N20, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "calculus of kidney and ureter".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	12805	12805	1019.5	1	1	1
132038	Date N21 first reported (calculus of lower urinary tract)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N21. The code corresponds to "calculus of lower urinary tract". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1971	1971	1020	1	1	1
132039	Source of report of N21 (calculus of lower urinary tract)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N21, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "calculus of lower urinary tract".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1971	1971	1020.5	1	1	1
132040	Date N22 first reported (calculus of urinary tract in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N22. The code corresponds to "calculus of urinary tract in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	1021	1	1	1
132041	Source of report of N22 (calculus of urinary tract in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N22, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "calculus of urinary tract in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	1021.5	1	1	1
132042	Date N23 first reported (unspecified renal colic)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N23. The code corresponds to "unspecified renal colic". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	5720	5720	1022	1	1	1
132043	Source of report of N23 (unspecified renal colic)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N23, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified renal colic".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5720	5720	1022.5	1	1	1
132044	Date N25 first reported (disorders resulting from impaired renal tubular function)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N25. The code corresponds to "disorders resulting from impaired renal tubular function". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	273	273	1023	1	1	1
132045	Source of report of N25 (disorders resulting from impaired renal tubular function)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N25, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders resulting from impaired renal tubular function".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	273	273	1023.5	1	1	1
132046	Date N26 first reported (unspecified contracted kidney)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N26. The code corresponds to "unspecified contracted kidney". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	521	521	1024	1	1	1
132047	Source of report of N26 (unspecified contracted kidney)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N26, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified contracted kidney".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	521	521	1024.5	1	1	1
132048	Date N27 first reported (small kidney of unknown cause)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N27. The code corresponds to "small kidney of unknown cause". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	164	164	1025	1	1	1
132049	Source of report of N27 (small kidney of unknown cause)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N27, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "small kidney of unknown cause".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	164	164	1025.5	1	1	1
132050	Date N28 first reported (other disorders of kidney and ureter, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N28. The code corresponds to "other disorders of kidney and ureter, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	11340	11340	1026	1	1	1
132051	Source of report of N28 (other disorders of kidney and ureter, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N28, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of kidney and ureter, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	11340	11340	1026.5	1	1	1
132052	Date N29 first reported (other disorders of kidney and ureter in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N29. The code corresponds to "other disorders of kidney and ureter in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	65	65	1027	1	1	1
132053	Source of report of N29 (other disorders of kidney and ureter in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N29, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of kidney and ureter in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	65	65	1027.5	1	1	1
132054	Date N30 first reported (cystitis)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N30. The code corresponds to "cystitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	19249	19249	1028	1	1	1
132055	Source of report of N30 (cystitis)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N30, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cystitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	19249	19249	1028.5	1	1	1
132056	Date N31 first reported (neuromuscular dysfunction of bladder, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N31. The code corresponds to "neuromuscular dysfunction of bladder, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	5182	5182	1029	1	1	1
132057	Source of report of N31 (neuromuscular dysfunction of bladder, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N31, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "neuromuscular dysfunction of bladder, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5182	5182	1029.5	1	1	1
132058	Date N32 first reported (other disorders of bladder)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N32. The code corresponds to "other disorders of bladder". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	22257	22257	1030	1	1	1
132059	Source of report of N32 (other disorders of bladder)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N32, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of bladder".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	22257	22257	1030.5	1	1	1
132060	Date N33 first reported (bladder disorders in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N33. The code corresponds to "bladder disorders in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	7	7	1031	1	1	1
132061	Source of report of N33 (bladder disorders in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N33, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "bladder disorders in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	7	7	1031.5	1	1	1
132062	Date N34 first reported (urethritis and urethral syndrome)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N34. The code corresponds to "urethritis and urethral syndrome". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1164	1164	1032	1	1	1
132063	Source of report of N34 (urethritis and urethral syndrome)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N34, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "urethritis and urethral syndrome".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1164	1164	1032.5	1	1	1
132064	Date N35 first reported (urethral stricture)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N35. The code corresponds to "urethral stricture". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	6356	6356	1033	1	1	1
132065	Source of report of N35 (urethral stricture)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N35, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "urethral stricture".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	6356	6356	1033.5	1	1	1
132066	Date N36 first reported (other disorders of urethra)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N36. The code corresponds to "other disorders of urethra". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1800	1800	1034	1	1	1
132067	Source of report of N36 (other disorders of urethra)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N36, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of urethra".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1800	1800	1034.5	1	1	1
132068	Date N37 first reported (urethral disorders in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N37. The code corresponds to "urethral disorders in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	9	9	1035	1	1	1
132069	Source of report of N37 (urethral disorders in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N37, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "urethral disorders in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	9	9	1035.5	1	1	1
132070	Date N39 first reported (other disorders of urinary system)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N39. The code corresponds to "other disorders of urinary system". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	59460	59460	1036	1	1	1
132071	Source of report of N39 (other disorders of urinary system)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N39, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of urinary system".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	59460	59460	1036.5	1	1	1
132072	Date N40 first reported (hyperplasia of prostate)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N40. The code corresponds to "hyperplasia of prostate". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	36344	36344	1037	1	1	1
132073	Source of report of N40 (hyperplasia of prostate)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N40, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hyperplasia of prostate".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	36344	36344	1037.5	1	1	1
132074	Date N41 first reported (inflammatory diseases of prostate)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N41. The code corresponds to "inflammatory diseases of prostate". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	5029	5029	1038	1	1	1
132075	Source of report of N41 (inflammatory diseases of prostate)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N41, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "inflammatory diseases of prostate".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5029	5029	1038.5	1	1	1
132076	Date N42 first reported (other disorders of prostate)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N42. The code corresponds to "other disorders of prostate". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	3818	3818	1039	1	1	1
132077	Source of report of N42 (other disorders of prostate)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N42, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of prostate".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3818	3818	1039.5	1	1	1
132078	Date N43 first reported (hydrocele and spermatocele)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N43. The code corresponds to "hydrocele and spermatocele". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2950	2950	1040	1	1	1
132079	Source of report of N43 (hydrocele and spermatocele)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N43, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hydrocele and spermatocele".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	2950	2950	1040.5	1	1	1
132080	Date N44 first reported (torsion of testis)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N44. The code corresponds to "torsion of testis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	234	234	1041	1	1	1
132081	Source of report of N44 (torsion of testis)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N44, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "torsion of testis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-01-25T00:00:00	234	234	1041.5	1	1	1
132082	Date N45 first reported (orchitis and epididymitis)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N45. The code corresponds to "orchitis and epididymitis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	3174	3174	1042	1	1	1
132083	Source of report of N45 (orchitis and epididymitis)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N45, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "orchitis and epididymitis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3174	3174	1042.5	1	1	1
132084	Date N46 first reported (male infertility)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N46. The code corresponds to "male infertility". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-02-29T00:00:00	593	593	1043	1	1	1
132085	Source of report of N46 (male infertility)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N46, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "male infertility".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	593	593	1043.5	1	1	1
132086	Date N47 first reported (redundant prepuce, phimosis and paraphimosis)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N47. The code corresponds to "redundant prepuce, phimosis and paraphimosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	4377	4377	1044	1	1	1
132087	Source of report of N47 (redundant prepuce, phimosis and paraphimosis)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N47, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "redundant prepuce, phimosis and paraphimosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	4377	4377	1044.5	1	1	1
132088	Date N48 first reported (other disorders of penis)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N48. The code corresponds to "other disorders of penis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-03T00:00:00	7816	7816	1045	1	1	1
132089	Source of report of N48 (other disorders of penis)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N48, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of penis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	7816	7816	1045.5	1	1	1
132090	Date N49 first reported (inflammatory disorders of male genital organs, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N49. The code corresponds to "inflammatory disorders of male genital organs, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	562	562	1046	1	1	1
132091	Source of report of N49 (inflammatory disorders of male genital organs, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N49, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "inflammatory disorders of male genital organs, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	562	562	1046.5	1	1	1
132092	Date N50 first reported (other disorders of male genital organs)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N50. The code corresponds to "other disorders of male genital organs". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	12141	12141	1047	1	1	1
132093	Source of report of N50 (other disorders of male genital organs)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N50, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of male genital organs".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	12141	12141	1047.5	1	1	1
132094	Date N51 first reported (disorders of male genital organs in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N51. The code corresponds to "disorders of male genital organs in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	57	57	1048	1	1	1
132095	Source of report of N51 (disorders of male genital organs in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N51, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of male genital organs in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	57	57	1048.5	1	1	1
132096	Date N60 first reported (benign mammary dysplasia)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N60. The code corresponds to "benign mammary dysplasia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	12786	12786	1049	1	1	1
132097	Source of report of N60 (benign mammary dysplasia)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N60, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "benign mammary dysplasia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	12786	12786	1049.5	1	1	1
132098	Date N61 first reported (inflammatory disorders of breast)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N61. The code corresponds to "inflammatory disorders of breast". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2077	2077	1050	1	1	1
132099	Source of report of N61 (inflammatory disorders of breast)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N61, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "inflammatory disorders of breast".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	2077	2077	1050.5	1	1	1
132100	Date N62 first reported (hypertrophy of breast)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N62. The code corresponds to "hypertrophy of breast". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2196	2196	1051	1	1	1
132101	Source of report of N62 (hypertrophy of breast)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N62, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hypertrophy of breast".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2196	2196	1051.5	1	1	1
132102	Date N63 first reported (unspecified lump in breast)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N63. The code corresponds to "unspecified lump in breast". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	16372	16372	1052	1	1	1
132103	Source of report of N63 (unspecified lump in breast)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N63, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified lump in breast".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	16372	16372	1052.5	1	1	1
132104	Date N64 first reported (other disorders of breast)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N64. The code corresponds to "other disorders of breast". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	13781	13781	1053	1	1	1
132105	Source of report of N64 (other disorders of breast)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N64, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of breast".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	13781	13781	1053.5	1	1	1
132106	Date N70 first reported (salpingitis and oophoritis)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N70. The code corresponds to "salpingitis and oophoritis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1173	1173	1054	1	1	1
132107	Source of report of N70 (salpingitis and oophoritis)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N70, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "salpingitis and oophoritis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1173	1173	1054.5	1	1	1
132108	Date N71 first reported (inflammatory disease of uterus, except cervix)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N71. The code corresponds to "inflammatory disease of uterus, except cervix". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	581	581	1055	1	1	1
132109	Source of report of N71 (inflammatory disease of uterus, except cervix)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N71, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "inflammatory disease of uterus, except cervix".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	581	581	1055.5	1	1	1
132110	Date N72 first reported (inflammatory disease of cervix uteri)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N72. The code corresponds to "inflammatory disease of cervix uteri". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2151	2151	1056	1	1	1
132111	Source of report of N72 (inflammatory disease of cervix uteri)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N72, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "inflammatory disease of cervix uteri".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	2151	2151	1056.5	1	1	1
132112	Date N73 first reported (other female pelvic inflammatory diseases)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N73. The code corresponds to "other female pelvic inflammatory diseases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	5459	5459	1057	1	1	1
132113	Source of report of N73 (other female pelvic inflammatory diseases)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N73, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other female pelvic inflammatory diseases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5459	5459	1057.5	1	1	1
132114	Date N74 first reported (female pelvic inflammatory disorders in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N74. The code corresponds to "female pelvic inflammatory disorders in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	25	25	1058	1	1	1
132115	Source of report of N74 (female pelvic inflammatory disorders in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N74, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "female pelvic inflammatory disorders in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	25	25	1058.5	1	1	1
132116	Date N75 first reported (diseases of bartholin's gland)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N75. The code corresponds to "diseases of bartholin's gland". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	2422	2422	1059	1	1	1
132117	Source of report of N75 (diseases of bartholin's gland)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N75, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "diseases of bartholin's gland".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2422	2422	1059.5	1	1	1
132118	Date N76 first reported (other inflammation of vagina and vulva)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N76. The code corresponds to "other inflammation of vagina and vulva". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	5154	5154	1060	1	1	1
132119	Source of report of N76 (other inflammation of vagina and vulva)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N76, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other inflammation of vagina and vulva".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	5154	5154	1060.5	1	1	1
132120	Date N77 first reported (vulvovaginal ulceration and inflammation in diseases classified elsewhere)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N77. The code corresponds to "vulvovaginal ulceration and inflammation in diseases classified elsewhere". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	556	556	1061	1	1	1
132121	Source of report of N77 (vulvovaginal ulceration and inflammation in diseases classified elsewhere)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N77, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "vulvovaginal ulceration and inflammation in diseases classified elsewhere".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	556	556	1061.5	1	1	1
132122	Date N80 first reported (endometriosis)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N80. The code corresponds to "endometriosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	10117	10117	1062	1	1	1
132123	Source of report of N80 (endometriosis)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N80, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "endometriosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	10117	10117	1062.5	1	1	1
132124	Date N81 first reported (female genital prolapse)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N81. The code corresponds to "female genital prolapse". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	22057	22057	1063	1	1	1
132125	Source of report of N81 (female genital prolapse)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N81, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "female genital prolapse".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	22057	22057	1063.5	1	1	1
132126	Date N82 first reported (fistulae involving female genital tract)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N82. The code corresponds to "fistulae involving female genital tract". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	374	374	1064	1	1	1
132127	Source of report of N82 (fistulae involving female genital tract)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N82, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "fistulae involving female genital tract".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	374	374	1064.5	1	1	1
132128	Date N83 first reported (noninflammatory disorders of ovary, fallopian tube and broad ligament)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N83. The code corresponds to "noninflammatory disorders of ovary, fallopian tube and broad ligament". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	13893	13893	1065	1	1	1
132129	Source of report of N83 (noninflammatory disorders of ovary, fallopian tube and broad ligament)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N83, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "noninflammatory disorders of ovary, fallopian tube and broad ligament".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	13893	13893	1065.5	1	1	1
132130	Date N84 first reported (polyp of female genital tract)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N84. The code corresponds to "polyp of female genital tract". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	19224	19224	1066	1	1	1
132131	Source of report of N84 (polyp of female genital tract)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N84, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "polyp of female genital tract".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	19224	19224	1066.5	1	1	1
132132	Date N85 first reported (other noninflammatory disorders of uterus, except cervix)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N85. The code corresponds to "other noninflammatory disorders of uterus, except cervix". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	9033	9033	1067	1	1	1
132133	Source of report of N85 (other noninflammatory disorders of uterus, except cervix)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N85, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other noninflammatory disorders of uterus, except cervix".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	9033	9033	1067.5	1	1	1
132134	Date N86 first reported (erosion and ectropion of cervix uteri)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N86. The code corresponds to "erosion and ectropion of cervix uteri". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2070	2070	1068	1	1	1
132135	Source of report of N86 (erosion and ectropion of cervix uteri)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N86, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "erosion and ectropion of cervix uteri".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	2070	2070	1068.5	1	1	1
132136	Date N87 first reported (dysplasia of cervix uteri)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N87. The code corresponds to "dysplasia of cervix uteri". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	8380	8380	1069	1	1	1
132137	Source of report of N87 (dysplasia of cervix uteri)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N87, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "dysplasia of cervix uteri".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	8380	8380	1069.5	1	1	1
132138	Date N88 first reported (other noninflammatory disorders of cervix uteri)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N88. The code corresponds to "other noninflammatory disorders of cervix uteri". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	3517	3517	1070	1	1	1
132139	Source of report of N88 (other noninflammatory disorders of cervix uteri)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N88, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other noninflammatory disorders of cervix uteri".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	3517	3517	1070.5	1	1	1
132140	Date N89 first reported (other noninflammatory disorders of vagina)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N89. The code corresponds to "other noninflammatory disorders of vagina". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	12737	12737	1071	1	1	1
132141	Source of report of N89 (other noninflammatory disorders of vagina)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N89, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other noninflammatory disorders of vagina".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	12737	12737	1071.5	1	1	1
132142	Date N90 first reported (other noninflammatory disorders of vulva and perineum)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N90. The code corresponds to "other noninflammatory disorders of vulva and perineum". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	6904	6904	1072	1	1	1
132143	Source of report of N90 (other noninflammatory disorders of vulva and perineum)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N90, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other noninflammatory disorders of vulva and perineum".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	6904	6904	1072.5	1	1	1
132144	Date N91 first reported (absent, scanty and rare menstruation)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N91. The code corresponds to "absent, scanty and rare menstruation". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	2467	2467	1073	1	1	1
132145	Source of report of N91 (absent, scanty and rare menstruation)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N91, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "absent, scanty and rare menstruation".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2467	2467	1073.5	1	1	1
132146	Date N92 first reported (excessive, frequent and irregular menstruation)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N92. The code corresponds to "excessive, frequent and irregular menstruation". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	29905	29905	1074	1	1	1
132147	Source of report of N92 (excessive, frequent and irregular menstruation)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N92, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "excessive, frequent and irregular menstruation".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	29905	29905	1074.5	1	1	1
132148	Date N93 first reported (other abnormal uterine and vaginal bleeding)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N93. The code corresponds to "other abnormal uterine and vaginal bleeding". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	11303	11303	1075	1	1	1
132149	Source of report of N93 (other abnormal uterine and vaginal bleeding)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N93, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other abnormal uterine and vaginal bleeding".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	11303	11303	1075.5	1	1	1
132150	Date N94 first reported (pain and other conditions associated with female genital organs and menstrual cycle)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N94. The code corresponds to "pain and other conditions associated with female genital organs and menstrual cycle". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	12403	12403	1076	1	1	1
132151	Source of report of N94 (pain and other conditions associated with female genital organs and menstrual cycle)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N94, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pain and other conditions associated with female genital organs and menstrual cycle".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	12403	12403	1076.5	1	1	1
132152	Date N95 first reported (menopausal and other perimenopausal disorders)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N95. The code corresponds to "menopausal and other perimenopausal disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	39214	39214	1077	1	1	1
132153	Source of report of N95 (menopausal and other perimenopausal disorders)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N95, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "menopausal and other perimenopausal disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	39214	39214	1077.5	1	1	1
132154	Date N96 first reported (habitual aborter)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N96. The code corresponds to "habitual aborter". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	33	33	1078	1	1	1
132155	Source of report of N96 (habitual aborter)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N96, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "habitual aborter".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	33	33	1078.5	1	1	1
132156	Date N97 first reported (female infertility)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N97. The code corresponds to "female infertility". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	4118	4118	1079	1	1	1
132157	Source of report of N97 (female infertility)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N97, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "female infertility".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	4118	4118	1079.5	1	1	1
132158	Date N98 first reported (complications associated with artificial fertilisation)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N98. The code corresponds to "complications associated with artificial fertilisation". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	63	63	1080	1	1	1
132159	Source of report of N98 (complications associated with artificial fertilisation)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N98, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "complications associated with artificial fertilisation".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	63	63	1080.5	1	1	1
132160	Date N99 first reported (postprocedural disorders of genito-urinary system, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2414	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 N99. The code corresponds to "postprocedural disorders of genito-urinary system, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	2012	2012	1081	1	1	1
132161	Source of report of N99 (postprocedural disorders of genito-urinary system, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2414	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 N99, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "postprocedural disorders of genito-urinary system, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	2012	2012	1081.5	1	1	1
132162	Date O00 first reported (ectopic pregnancy)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O00. The code corresponds to "ectopic pregnancy". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	1049	1049	1082	1	1	1
132163	Source of report of O00 (ectopic pregnancy)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O00, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "ectopic pregnancy".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	1049	1049	1082.5	1	1	1
132164	Date O01 first reported (hydatidiform mole)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O01. The code corresponds to "hydatidiform mole". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	232	232	1083	1	1	1
132165	Source of report of O01 (hydatidiform mole)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O01, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hydatidiform mole".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	232	232	1083.5	1	1	1
132166	Date O02 first reported (other abnormal products of conception)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O02. The code corresponds to "other abnormal products of conception". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	2286	2286	1084	1	1	1
132167	Source of report of O02 (other abnormal products of conception)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O02, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other abnormal products of conception".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	2286	2286	1084.5	1	1	1
132168	Date O03 first reported (spontaneous abortion)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O03. The code corresponds to "spontaneous abortion". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	5816	5816	1085	1	1	1
132169	Source of report of O03 (spontaneous abortion)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O03, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "spontaneous abortion".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	5816	5816	1085.5	1	1	1
132170	Date O04 first reported (medical abortion)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O04. The code corresponds to "medical abortion". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-08T00:00:00	4237	4237	1086	1	1	1
132171	Source of report of O04 (medical abortion)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O04, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "medical abortion".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-08T00:00:00	4237	4237	1086.5	1	1	1
132172	Date O05 first reported (other abortion)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O05. The code corresponds to "other abortion". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	6	6	1087	1	1	1
132173	Source of report of O05 (other abortion)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O05, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other abortion".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	6	6	1087.5	1	1	1
132174	Date O06 first reported (unspecified abortion)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O06. The code corresponds to "unspecified abortion". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	512	512	1088	1	1	1
132175	Source of report of O06 (unspecified abortion)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O06, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified abortion".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	512	512	1088.5	1	1	1
132176	Date O07 first reported (failed attempted abortion)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O07. The code corresponds to "failed attempted abortion". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	23	23	1089	1	1	1
132177	Source of report of O07 (failed attempted abortion)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O07, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "failed attempted abortion".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	23	23	1089.5	1	1	1
132178	Date O08 first reported (complications following abortion and ectopic and molar pregnancy)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O08. The code corresponds to "complications following abortion and ectopic and molar pregnancy". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	87	87	1090	1	1	1
132179	Source of report of O08 (complications following abortion and ectopic and molar pregnancy)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O08, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "complications following abortion and ectopic and molar pregnancy".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	87	87	1090.5	1	1	1
132180	Date O10 first reported (pre-existing hypertension complicating pregnancy, childbirth and the puerperium)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O10. The code corresponds to "pre-existing hypertension complicating pregnancy, childbirth and the puerperium". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	130	130	1091	1	1	1
132181	Source of report of O10 (pre-existing hypertension complicating pregnancy, childbirth and the puerperium)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O10, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pre-existing hypertension complicating pregnancy, childbirth and the puerperium".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	130	130	1091.5	1	1	1
132182	Date O11 first reported (pre-existing hypertensive disorder with superimposed proteinuria)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O11. The code corresponds to "pre-existing hypertensive disorder with superimposed proteinuria". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	32	32	1092	1	1	1
132183	Source of report of O11 (pre-existing hypertensive disorder with superimposed proteinuria)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O11, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pre-existing hypertensive disorder with superimposed proteinuria".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	32	32	1092.5	1	1	1
132184	Date O12 first reported (gestational [pregnancy-induced] oedema and proteinuria without hypertension)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O12. The code corresponds to "gestational [pregnancy-induced] oedema and proteinuria without hypertension". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	224	224	1093	1	1	1
132185	Source of report of O12 (gestational [pregnancy-induced] oedema and proteinuria without hypertension)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O12, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "gestational [pregnancy-induced] oedema and proteinuria without hypertension".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	224	224	1093.5	1	1	1
132186	Date O13 first reported (gestational [pregnancy-induced] hypertension without significant proteinuria)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O13. The code corresponds to "gestational [pregnancy-induced] hypertension without significant proteinuria". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	836	836	1094	1	1	1
132187	Source of report of O13 (gestational [pregnancy-induced] hypertension without significant proteinuria)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O13, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "gestational [pregnancy-induced] hypertension without significant proteinuria".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	836	836	1094.5	1	1	1
132188	Date O14 first reported (gestational [pregnancy-induced] hypertension with significant proteinuria)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O14. The code corresponds to "gestational [pregnancy-induced] hypertension with significant proteinuria". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	577	577	1095	1	1	1
132189	Source of report of O14 (gestational [pregnancy-induced] hypertension with significant proteinuria)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O14, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "gestational [pregnancy-induced] hypertension with significant proteinuria".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	577	577	1095.5	1	1	1
132190	Date O15 first reported (eclampsia)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O15. The code corresponds to "eclampsia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	109	109	1096	1	1	1
132191	Source of report of O15 (eclampsia)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O15, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "eclampsia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	109	109	1096.5	1	1	1
132192	Date O16 first reported (unspecified maternal hypertension)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O16. The code corresponds to "unspecified maternal hypertension". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	2860	2860	1097	1	1	1
132193	Source of report of O16 (unspecified maternal hypertension)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O16, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "unspecified maternal hypertension".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2860	2860	1097.5	1	1	1
132194	Date O20 first reported (haemorrhage in early pregnancy)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O20. The code corresponds to "haemorrhage in early pregnancy". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	1554	1554	1098	1	1	1
132195	Source of report of O20 (haemorrhage in early pregnancy)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O20, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "haemorrhage in early pregnancy".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	1554	1554	1098.5	1	1	1
132196	Date O21 first reported (excessive vomiting in pregnancy)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O21. The code corresponds to "excessive vomiting in pregnancy". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-01-25T00:00:00	407	407	1099	1	1	1
132197	Source of report of O21 (excessive vomiting in pregnancy)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O21, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "excessive vomiting in pregnancy".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-01-25T00:00:00	407	407	1099.5	1	1	1
132198	Date O22 first reported (venous complications in pregnancy)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O22. The code corresponds to "venous complications in pregnancy". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	142	142	1100	1	1	1
132199	Source of report of O22 (venous complications in pregnancy)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O22, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "venous complications in pregnancy".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	142	142	1100.5	1	1	1
132200	Date O23 first reported (infections of genito-urinary tract in pregnancy)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O23. The code corresponds to "infections of genito-urinary tract in pregnancy". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	336	336	1101	1	1	1
132201	Source of report of O23 (infections of genito-urinary tract in pregnancy)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O23, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "infections of genito-urinary tract in pregnancy".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	336	336	1101.5	1	1	1
132202	Date O24 first reported (diabetes mellitus in pregnancy)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O24. The code corresponds to "diabetes mellitus in pregnancy". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	789	789	1102	1	1	1
132203	Source of report of O24 (diabetes mellitus in pregnancy)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O24, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "diabetes mellitus in pregnancy".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	789	789	1102.5	1	1	1
132204	Date O25 first reported (malnutrition in pregnancy)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O25. The code corresponds to "malnutrition in pregnancy". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	1103	1	1	1
132205	Source of report of O25 (malnutrition in pregnancy)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O25, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "malnutrition in pregnancy".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	1103.5	1	1	1
132206	Date O26 first reported (maternal care for other conditions predominantly related to pregnancy)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O26. The code corresponds to "maternal care for other conditions predominantly related to pregnancy". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	2516	2516	1104	1	1	1
132207	Source of report of O26 (maternal care for other conditions predominantly related to pregnancy)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O26, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "maternal care for other conditions predominantly related to pregnancy".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	2516	2516	1104.5	1	1	1
132208	Date O28 first reported (abnormal findings on antenatal screening of mother)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O28. The code corresponds to "abnormal findings on antenatal screening of mother". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	147	147	1105	1	1	1
132209	Source of report of O28 (abnormal findings on antenatal screening of mother)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O28, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "abnormal findings on antenatal screening of mother".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	147	147	1105.5	1	1	1
132210	Date O29 first reported (complications of anaesthesia during pregnancy)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O29. The code corresponds to "complications of anaesthesia during pregnancy". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	1106	1	1	1
132211	Source of report of O29 (complications of anaesthesia during pregnancy)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O29, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "complications of anaesthesia during pregnancy".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	1106.5	1	1	1
132212	Date O30 first reported (multiple gestation)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O30. The code corresponds to "multiple gestation". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	641	641	1107	1	1	1
132213	Source of report of O30 (multiple gestation)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O30, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "multiple gestation".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	641	641	1107.5	1	1	1
132214	Date O31 first reported (complications specific to multiple gestation)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O31. The code corresponds to "complications specific to multiple gestation". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	35	35	1108	1	1	1
132215	Source of report of O31 (complications specific to multiple gestation)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O31, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "complications specific to multiple gestation".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	35	35	1108.5	1	1	1
132216	Date O32 first reported (maternal care for known or suspected malpresentation of foetus)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O32. The code corresponds to "maternal care for known or suspected malpresentation of foetus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	1556	1556	1109	1	1	1
132217	Source of report of O32 (maternal care for known or suspected malpresentation of foetus)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O32, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "maternal care for known or suspected malpresentation of foetus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	1556	1556	1109.5	1	1	1
132218	Date O33 first reported (maternal care for known or suspected disproportion)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O33. The code corresponds to "maternal care for known or suspected disproportion". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	100	100	1110	1	1	1
132219	Source of report of O33 (maternal care for known or suspected disproportion)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O33, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "maternal care for known or suspected disproportion".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	100	100	1110.5	1	1	1
132220	Date O34 first reported (maternal care for known or suspected abnormality of pelvic organs)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O34. The code corresponds to "maternal care for known or suspected abnormality of pelvic organs". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	2058	2058	1111	1	1	1
132221	Source of report of O34 (maternal care for known or suspected abnormality of pelvic organs)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O34, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "maternal care for known or suspected abnormality of pelvic organs".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	2058	2058	1111.5	1	1	1
132222	Date O35 first reported (maternal care for known or suspected foetal abnormality and damage)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O35. The code corresponds to "maternal care for known or suspected foetal abnormality and damage". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	345	345	1112	1	1	1
132223	Source of report of O35 (maternal care for known or suspected foetal abnormality and damage)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O35, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "maternal care for known or suspected foetal abnormality and damage".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	345	345	1112.5	1	1	1
132224	Date O36 first reported (maternal care for other known or suspected foetal problems)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O36. The code corresponds to "maternal care for other known or suspected foetal problems". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	2494	2494	1113	1	1	1
132225	Source of report of O36 (maternal care for other known or suspected foetal problems)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O36, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "maternal care for other known or suspected foetal problems".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	2494	2494	1113.5	1	1	1
132226	Date O40 first reported (polyhydramnios)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O40. The code corresponds to "polyhydramnios". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	154	154	1114	1	1	1
132227	Source of report of O40 (polyhydramnios)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O40, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "polyhydramnios".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	154	154	1114.5	1	1	1
132228	Date O41 first reported (other disorders of amniotic fluid and membranes)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O41. The code corresponds to "other disorders of amniotic fluid and membranes". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	331	331	1115	1	1	1
132229	Source of report of O41 (other disorders of amniotic fluid and membranes)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O41, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of amniotic fluid and membranes".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	331	331	1115.5	1	1	1
132230	Date O42 first reported (premature rupture of membranes)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O42. The code corresponds to "premature rupture of membranes". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1418	1418	1116	1	1	1
132231	Source of report of O42 (premature rupture of membranes)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O42, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "premature rupture of membranes".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1418	1418	1116.5	1	1	1
132232	Date O43 first reported (placental disorders)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O43. The code corresponds to "placental disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	301	301	1117	1	1	1
132233	Source of report of O43 (placental disorders)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O43, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "placental disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	301	301	1117.5	1	1	1
132234	Date O44 first reported (placenta praevia)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O44. The code corresponds to "placenta praevia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	250	250	1118	1	1	1
132235	Source of report of O44 (placenta praevia)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O44, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "placenta praevia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	250	250	1118.5	1	1	1
132236	Date O45 first reported (premature separation of placenta [abruptio placentae])	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O45. The code corresponds to "premature separation of placenta [abruptio placentae]". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	67	67	1119	1	1	1
132237	Source of report of O45 (premature separation of placenta [abruptio placentae])	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O45, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "premature separation of placenta [abruptio placentae]".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	67	67	1119.5	1	1	1
132238	Date O46 first reported (antepartum haemorrhage, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O46. The code corresponds to "antepartum haemorrhage, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	837	837	1120	1	1	1
132239	Source of report of O46 (antepartum haemorrhage, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O46, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "antepartum haemorrhage, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	837	837	1120.5	1	1	1
132240	Date O47 first reported (false labour)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O47. The code corresponds to "false labour". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1367	1367	1121	1	1	1
132241	Source of report of O47 (false labour)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O47, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "false labour".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1367	1367	1121.5	1	1	1
132242	Date O48 first reported (prolonged pregnancy)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O48. The code corresponds to "prolonged pregnancy". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1477	1477	1122	1	1	1
132243	Source of report of O48 (prolonged pregnancy)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O48, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "prolonged pregnancy".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1477	1477	1122.5	1	1	1
132244	Date O60 first reported (preterm delivery)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O60. The code corresponds to "preterm delivery". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	994	994	1123	1	1	1
132245	Source of report of O60 (preterm delivery)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O60, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "preterm delivery".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	994	994	1123.5	1	1	1
132246	Date O61 first reported (failed induction of labour)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O61. The code corresponds to "failed induction of labour". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	203	203	1124	1	1	1
132247	Source of report of O61 (failed induction of labour)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O61, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "failed induction of labour".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	203	203	1124.5	1	1	1
132248	Date O62 first reported (abnormalities of forces of labour)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O62. The code corresponds to "abnormalities of forces of labour". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	573	573	1125	1	1	1
132249	Source of report of O62 (abnormalities of forces of labour)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O62, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "abnormalities of forces of labour".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	573	573	1125.5	1	1	1
132250	Date O63 first reported (long labour)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O63. The code corresponds to "long labour". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	2441	2441	1126	1	1	1
132251	Source of report of O63 (long labour)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O63, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "long labour".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	2441	2441	1126.5	1	1	1
132252	Date O64 first reported (obstructed labour due to malposition and malpresentation of foetus)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O64. The code corresponds to "obstructed labour due to malposition and malpresentation of foetus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	542	542	1127	1	1	1
132253	Source of report of O64 (obstructed labour due to malposition and malpresentation of foetus)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O64, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "obstructed labour due to malposition and malpresentation of foetus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	542	542	1127.5	1	1	1
132254	Date O65 first reported (obstructed labour due to maternal pelvic abnormality)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O65. The code corresponds to "obstructed labour due to maternal pelvic abnormality". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	62	62	1128	1	1	1
132255	Source of report of O65 (obstructed labour due to maternal pelvic abnormality)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O65, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "obstructed labour due to maternal pelvic abnormality".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	62	62	1128.5	1	1	1
132256	Date O66 first reported (other obstructed labour)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O66. The code corresponds to "other obstructed labour". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	425	425	1129	1	1	1
132257	Source of report of O66 (other obstructed labour)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O66, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other obstructed labour".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	425	425	1129.5	1	1	1
132258	Date O67 first reported (labour and delivery complicated by intrapartum haemorrhage, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O67. The code corresponds to "labour and delivery complicated by intrapartum haemorrhage, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	135	135	1130	1	1	1
132259	Source of report of O67 (labour and delivery complicated by intrapartum haemorrhage, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O67, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "labour and delivery complicated by intrapartum haemorrhage, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	135	135	1130.5	1	1	1
132260	Date O68 first reported (labour and delivery complicated by foetal stress [distress])	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O68. The code corresponds to "labour and delivery complicated by foetal stress [distress]". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	4331	4331	1131	1	1	1
132261	Source of report of O68 (labour and delivery complicated by foetal stress [distress])	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O68, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "labour and delivery complicated by foetal stress [distress]".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	4331	4331	1131.5	1	1	1
132262	Date O69 first reported (labour and delivery complicated by umbilical cord complications)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O69. The code corresponds to "labour and delivery complicated by umbilical cord complications". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	807	807	1132	1	1	1
132263	Source of report of O69 (labour and delivery complicated by umbilical cord complications)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O69, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "labour and delivery complicated by umbilical cord complications".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	807	807	1132.5	1	1	1
132264	Date O70 first reported (perineal laceration during delivery)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O70. The code corresponds to "perineal laceration during delivery". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	6889	6889	1133	1	1	1
132265	Source of report of O70 (perineal laceration during delivery)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O70, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "perineal laceration during delivery".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	6889	6889	1133.5	1	1	1
132266	Date O71 first reported (other obstetric trauma)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O71. The code corresponds to "other obstetric trauma". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	290	290	1134	1	1	1
132267	Source of report of O71 (other obstetric trauma)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O71, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other obstetric trauma".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	290	290	1134.5	1	1	1
132268	Date O72 first reported (postpartum haemorrhage)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O72. The code corresponds to "postpartum haemorrhage". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	2078	2078	1135	1	1	1
132269	Source of report of O72 (postpartum haemorrhage)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O72, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "postpartum haemorrhage".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	2078	2078	1135.5	1	1	1
132270	Date O73 first reported (retained placenta and membranes, without haemorrhage)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O73. The code corresponds to "retained placenta and membranes, without haemorrhage". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	307	307	1136	1	1	1
132271	Source of report of O73 (retained placenta and membranes, without haemorrhage)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O73, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "retained placenta and membranes, without haemorrhage".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	307	307	1136.5	1	1	1
132272	Date O74 first reported (complications of anaesthesia during labour and delivery)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O74. The code corresponds to "complications of anaesthesia during labour and delivery". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	35	35	1137	1	1	1
132273	Source of report of O74 (complications of anaesthesia during labour and delivery)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O74, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "complications of anaesthesia during labour and delivery".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	35	35	1137.5	1	1	1
132274	Date O75 first reported (other complications of labour and delivery, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O75. The code corresponds to "other complications of labour and delivery, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1012	1012	1138	1	1	1
132275	Source of report of O75 (other complications of labour and delivery, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O75, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other complications of labour and delivery, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	1012	1012	1138.5	1	1	1
132276	Date O80 first reported (single spontaneous delivery)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O80. The code corresponds to "single spontaneous delivery". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	15313	15313	1139	1	1	1
132277	Source of report of O80 (single spontaneous delivery)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O80, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "single spontaneous delivery".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	15313	15313	1139.5	1	1	1
132278	Date O81 first reported (single delivery by forceps and vacuum extractor)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O81. The code corresponds to "single delivery by forceps and vacuum extractor". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1948	1948	1140	1	1	1
132279	Source of report of O81 (single delivery by forceps and vacuum extractor)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O81, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "single delivery by forceps and vacuum extractor".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	1948	1948	1140.5	1	1	1
132280	Date O82 first reported (single delivery by caesarean section)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O82. The code corresponds to "single delivery by caesarean section". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	2813	2813	1141	1	1	1
132281	Source of report of O82 (single delivery by caesarean section)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O82, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "single delivery by caesarean section".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	2813	2813	1141.5	1	1	1
132282	Date O83 first reported (other assisted single delivery)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O83. The code corresponds to "other assisted single delivery". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	27	27	1142	1	1	1
132283	Source of report of O83 (other assisted single delivery)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O83, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other assisted single delivery".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	27	27	1142.5	1	1	1
132284	Date O84 first reported (multiple delivery)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O84. The code corresponds to "multiple delivery". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	34	34	1143	1	1	1
132285	Source of report of O84 (multiple delivery)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O84, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "multiple delivery".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	34	34	1143.5	1	1	1
132286	Date O85 first reported (puerperal sepsis)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O85. The code corresponds to "puerperal sepsis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	82	82	1144	1	1	1
132287	Source of report of O85 (puerperal sepsis)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O85, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "puerperal sepsis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	82	82	1144.5	1	1	1
132288	Date O86 first reported (other puerperal infections)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O86. The code corresponds to "other puerperal infections". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	318	318	1145	1	1	1
132289	Source of report of O86 (other puerperal infections)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O86, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other puerperal infections".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	318	318	1145.5	1	1	1
132290	Date O87 first reported (venous complications in the puerperium)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O87. The code corresponds to "venous complications in the puerperium". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	149	149	1146	1	1	1
132291	Source of report of O87 (venous complications in the puerperium)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O87, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "venous complications in the puerperium".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	149	149	1146.5	1	1	1
132292	Date O88 first reported (obstetric embolism)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O88. The code corresponds to "obstetric embolism". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	16	16	1147	1	1	1
132293	Source of report of O88 (obstetric embolism)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O88, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "obstetric embolism".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	16	16	1147.5	1	1	1
132294	Date O89 first reported (complications of anaesthesia during the puerperium)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O89. The code corresponds to "complications of anaesthesia during the puerperium". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	26	26	1148	1	1	1
132295	Source of report of O89 (complications of anaesthesia during the puerperium)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O89, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "complications of anaesthesia during the puerperium".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	26	26	1148.5	1	1	1
132296	Date O90 first reported (complications of the puerperium, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O90. The code corresponds to "complications of the puerperium, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	324	324	1149	1	1	1
132297	Source of report of O90 (complications of the puerperium, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O90, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "complications of the puerperium, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	324	324	1149.5	1	1	1
132298	Date O91 first reported (infections of breast associated with childbirth)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O91. The code corresponds to "infections of breast associated with childbirth". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	327	327	1150	1	1	1
132299	Source of report of O91 (infections of breast associated with childbirth)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O91, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "infections of breast associated with childbirth".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-09-09T00:00:00	327	327	1150.5	1	1	1
132300	Date O92 first reported (other disorders of breast and lactation associated with childbirth)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O92. The code corresponds to "other disorders of breast and lactation associated with childbirth". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	228	228	1151	1	1	1
132301	Source of report of O92 (other disorders of breast and lactation associated with childbirth)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O92, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disorders of breast and lactation associated with childbirth".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	228	228	1151.5	1	1	1
132302	Date O94 first reported (sequelae of complication of pregnancy, childbirth and the puerperium)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O94. The code corresponds to "sequelae of complication of pregnancy, childbirth and the puerperium". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	10	10	1152	1	1	1
132303	Source of report of O94 (sequelae of complication of pregnancy, childbirth and the puerperium)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O94, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "sequelae of complication of pregnancy, childbirth and the puerperium".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	10	10	1152.5	1	1	1
132304	Date O95 first reported (obstetric death of unspecified cause)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O95. The code corresponds to "obstetric death of unspecified cause". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1153	1	1	1
132305	Source of report of O95 (obstetric death of unspecified cause)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O95, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "obstetric death of unspecified cause".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1153.5	1	1	1
132306	Date O96 first reported (death from any obstetric cause occurring more than 42 days but less than one year after delivery)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O96. The code corresponds to "death from any obstetric cause occurring more than 42 days but less than one year after delivery". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	1154	1	1	1
132307	Source of report of O96 (death from any obstetric cause occurring more than 42 days but less than one year after delivery)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O96, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "death from any obstetric cause occurring more than 42 days but less than one year after delivery".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	1154.5	1	1	1
132308	Date O97 first reported (death from sequelae of direct obstetric causes)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O97. The code corresponds to "death from sequelae of direct obstetric causes". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1155	1	1	1
132309	Source of report of O97 (death from sequelae of direct obstetric causes)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O97, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "death from sequelae of direct obstetric causes".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1155.5	1	1	1
132310	Date O98 first reported (maternal infectious and parasitic diseases classifiable elsewhere but complicating pregnancy, childbirth and the puerperium)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O98. The code corresponds to "maternal infectious and parasitic diseases classifiable elsewhere but complicating pregnancy, childbirth and the puerperium". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	90	90	1156	1	1	1
132311	Source of report of O98 (maternal infectious and parasitic diseases classifiable elsewhere but complicating pregnancy, childbirth and the puerperium)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O98, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "maternal infectious and parasitic diseases classifiable elsewhere but complicating pregnancy, childbirth and the puerperium".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	90	90	1156.5	1	1	1
132312	Date O99 first reported (other maternal diseases classifiable elsewhere but complicating pregnancy, childbirth and the puerperium)	0	3	0	51	0	0	3	0	0	0		2415	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 O99. The code corresponds to "other maternal diseases classifiable elsewhere but complicating pregnancy, childbirth and the puerperium". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	2580	2580	1157	1	1	1
132313	Source of report of O99 (other maternal diseases classifiable elsewhere but complicating pregnancy, childbirth and the puerperium)	0	3	0	21	11	0	3	0	0	0		2415	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 O99, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other maternal diseases classifiable elsewhere but complicating pregnancy, childbirth and the puerperium".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	2580	2580	1157.5	1	1	1
132314	Date P00 first reported (foetus and newborn affected by maternal conditions that may be unrelated to present pregnancy)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P00. The code corresponds to "foetus and newborn affected by maternal conditions that may be unrelated to present pregnancy". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	6	6	1158	1	1	1
132315	Source of report of P00 (foetus and newborn affected by maternal conditions that may be unrelated to present pregnancy)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P00, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "foetus and newborn affected by maternal conditions that may be unrelated to present pregnancy".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	6	6	1158.5	1	1	1
132316	Date P01 first reported (foetus and newborn affected by maternal complications of pregnancy)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P01. The code corresponds to "foetus and newborn affected by maternal complications of pregnancy". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1159	1	1	1
132317	Source of report of P01 (foetus and newborn affected by maternal complications of pregnancy)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P01, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "foetus and newborn affected by maternal complications of pregnancy".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1159.5	1	1	1
132318	Date P02 first reported (foetus and newborn affected by complications of placenta, cord and membranes)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P02. The code corresponds to "foetus and newborn affected by complications of placenta, cord and membranes". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	8	8	1160	1	1	1
132319	Source of report of P02 (foetus and newborn affected by complications of placenta, cord and membranes)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P02, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "foetus and newborn affected by complications of placenta, cord and membranes".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	8	8	1160.5	1	1	1
132320	Date P03 first reported (foetus and newborn affected by other complications of labour and delivery)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P03. The code corresponds to "foetus and newborn affected by other complications of labour and delivery". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	174	174	1161	1	1	1
132321	Source of report of P03 (foetus and newborn affected by other complications of labour and delivery)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P03, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "foetus and newborn affected by other complications of labour and delivery".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	174	174	1161.5	1	1	1
132322	Date P04 first reported (foetus and newborn affected by noxious influences transmitted via placenta or breast milk)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P04. The code corresponds to "foetus and newborn affected by noxious influences transmitted via placenta or breast milk". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	1162	1	1	1
132323	Source of report of P04 (foetus and newborn affected by noxious influences transmitted via placenta or breast milk)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P04, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "foetus and newborn affected by noxious influences transmitted via placenta or breast milk".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	1162.5	1	1	1
132324	Date P05 first reported (slow foetal growth and foetal malnutrition)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P05. The code corresponds to "slow foetal growth and foetal malnutrition". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	8	8	1163	1	1	1
132325	Source of report of P05 (slow foetal growth and foetal malnutrition)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P05, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "slow foetal growth and foetal malnutrition".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	8	8	1163.5	1	1	1
132326	Date P07 first reported (disorders related to short gestation and low birth weight, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P07. The code corresponds to "disorders related to short gestation and low birth weight, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	31	31	1164	1	1	1
132327	Source of report of P07 (disorders related to short gestation and low birth weight, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P07, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders related to short gestation and low birth weight, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	31	31	1164.5	1	1	1
132328	Date P08 first reported (disorders related to long gestation and high birth weight)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P08. The code corresponds to "disorders related to long gestation and high birth weight". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	9	9	1165	1	1	1
132329	Source of report of P08 (disorders related to long gestation and high birth weight)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P08, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders related to long gestation and high birth weight".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	9	9	1165.5	1	1	1
132330	Date P10 first reported (intracranial laceration and haemorrhage due to birth injury)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P10. The code corresponds to "intracranial laceration and haemorrhage due to birth injury". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	1166	1	1	1
132331	Source of report of P10 (intracranial laceration and haemorrhage due to birth injury)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P10, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "intracranial laceration and haemorrhage due to birth injury".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	1166.5	1	1	1
132332	Date P11 first reported (other birth injuries to central nervous system)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P11. The code corresponds to "other birth injuries to central nervous system". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	6	6	1167	1	1	1
132333	Source of report of P11 (other birth injuries to central nervous system)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P11, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other birth injuries to central nervous system".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	6	6	1167.5	1	1	1
132334	Date P12 first reported (birth injury to scalp)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P12. The code corresponds to "birth injury to scalp". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	4	4	1168	1	1	1
132335	Source of report of P12 (birth injury to scalp)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P12, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "birth injury to scalp".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	4	4	1168.5	1	1	1
132336	Date P13 first reported (birth injury to skeleton)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P13. The code corresponds to "birth injury to skeleton". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	5	5	1169	1	1	1
132337	Source of report of P13 (birth injury to skeleton)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P13, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "birth injury to skeleton".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	5	5	1169.5	1	1	1
132338	Date P14 first reported (birth injury to peripheral nervous system)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P14. The code corresponds to "birth injury to peripheral nervous system". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	22	22	1170	1	1	1
132339	Source of report of P14 (birth injury to peripheral nervous system)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P14, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "birth injury to peripheral nervous system".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	22	22	1170.5	1	1	1
132340	Date P15 first reported (other birth injuries)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P15. The code corresponds to "other birth injuries". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	16	16	1171	1	1	1
132341	Source of report of P15 (other birth injuries)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P15, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other birth injuries".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	16	16	1171.5	1	1	1
132342	Date P20 first reported (intra-uterine hypoxia)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P20. The code corresponds to "intra-uterine hypoxia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	7	7	1172	1	1	1
132343	Source of report of P20 (intra-uterine hypoxia)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P20, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "intra-uterine hypoxia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	7	7	1172.5	1	1	1
132344	Date P21 first reported (birth asphyxia)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P21. The code corresponds to "birth asphyxia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	3	3	1173	1	1	1
132345	Source of report of P21 (birth asphyxia)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P21, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "birth asphyxia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	3	3	1173.5	1	1	1
132346	Date P22 first reported (respiratory distress of newborn)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P22. The code corresponds to "respiratory distress of newborn". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	6	6	1174	1	1	1
132347	Source of report of P22 (respiratory distress of newborn)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P22, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "respiratory distress of newborn".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	6	6	1174.5	1	1	1
132348	Date P23 first reported (congenital pneumonia)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P23. The code corresponds to "congenital pneumonia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	3	3	1175	1	1	1
132349	Source of report of P23 (congenital pneumonia)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P23, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital pneumonia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	3	3	1175.5	1	1	1
132350	Date P24 first reported (neonatal aspiration syndromes)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P24. The code corresponds to "neonatal aspiration syndromes". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	4	4	1176	1	1	1
132351	Source of report of P24 (neonatal aspiration syndromes)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P24, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "neonatal aspiration syndromes".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	4	4	1176.5	1	1	1
132352	Date P25 first reported (interstitial emphysema and related conditions originating in the perinatal period)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P25. The code corresponds to "interstitial emphysema and related conditions originating in the perinatal period". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	1177	1	1	1
132353	Source of report of P25 (interstitial emphysema and related conditions originating in the perinatal period)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P25, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "interstitial emphysema and related conditions originating in the perinatal period".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	1177.5	1	1	1
132354	Date P26 first reported (pulmonary haemorrhage originating in the perinatal period)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P26. The code corresponds to "pulmonary haemorrhage originating in the perinatal period". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	1178	1	1	1
132355	Source of report of P26 (pulmonary haemorrhage originating in the perinatal period)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P26, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "pulmonary haemorrhage originating in the perinatal period".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	1178.5	1	1	1
132356	Date P27 first reported (chronic respiratory disease originating in the perinatal period)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P27. The code corresponds to "chronic respiratory disease originating in the perinatal period". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	1179	1	1	1
132357	Source of report of P27 (chronic respiratory disease originating in the perinatal period)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P27, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "chronic respiratory disease originating in the perinatal period".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	1179.5	1	1	1
132358	Date P28 first reported (other respiratory conditions originating in the perinatal period)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P28. The code corresponds to "other respiratory conditions originating in the perinatal period". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	19	19	1180	1	1	1
132359	Source of report of P28 (other respiratory conditions originating in the perinatal period)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P28, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other respiratory conditions originating in the perinatal period".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	19	19	1180.5	1	1	1
132360	Date P29 first reported (cardiovascular disorders originating in the perinatal period)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P29. The code corresponds to "cardiovascular disorders originating in the perinatal period". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	12	12	1181	1	1	1
132361	Source of report of P29 (cardiovascular disorders originating in the perinatal period)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P29, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cardiovascular disorders originating in the perinatal period".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	12	12	1181.5	1	1	1
132362	Date P35 first reported (congenital viral diseases)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P35. The code corresponds to "congenital viral diseases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	16	16	1182	1	1	1
132363	Source of report of P35 (congenital viral diseases)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P35, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital viral diseases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	16	16	1182.5	1	1	1
132364	Date P36 first reported (bacterial sepsis of newborn)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P36. The code corresponds to "bacterial sepsis of newborn". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	45	45	1183	1	1	1
132365	Source of report of P36 (bacterial sepsis of newborn)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P36, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "bacterial sepsis of newborn".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	45	45	1183.5	1	1	1
132366	Date P37 first reported (other congenital infectious and parasitic diseases)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P37. The code corresponds to "other congenital infectious and parasitic diseases". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	18	18	1184	1	1	1
132367	Source of report of P37 (other congenital infectious and parasitic diseases)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P37, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital infectious and parasitic diseases".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	18	18	1184.5	1	1	1
132368	Date P38 first reported (omphalitis of newborn with or without mild haemorrhage)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P38. The code corresponds to "omphalitis of newborn with or without mild haemorrhage". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	19	19	1185	1	1	1
132369	Source of report of P38 (omphalitis of newborn with or without mild haemorrhage)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P38, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "omphalitis of newborn with or without mild haemorrhage".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	19	19	1185.5	1	1	1
132370	Date P39 first reported (other infections specific to the perinatal period)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P39. The code corresponds to "other infections specific to the perinatal period". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	15	15	1186	1	1	1
132371	Source of report of P39 (other infections specific to the perinatal period)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P39, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other infections specific to the perinatal period".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	15	15	1186.5	1	1	1
132372	Date P50 first reported (foetal blood loss)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P50. The code corresponds to "foetal blood loss". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	1187	1	1	1
132373	Source of report of P50 (foetal blood loss)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P50, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "foetal blood loss".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	1187.5	1	1	1
132374	Date P51 first reported (umbilical haemorrhage of newborn)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P51. The code corresponds to "umbilical haemorrhage of newborn". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	8	8	1188	1	1	1
132375	Source of report of P51 (umbilical haemorrhage of newborn)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P51, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "umbilical haemorrhage of newborn".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	8	8	1188.5	1	1	1
132376	Date P52 first reported (intracranial nontraumatic haemorrhage of foetus and newborn)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P52. The code corresponds to "intracranial nontraumatic haemorrhage of foetus and newborn". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	1189	1	1	1
132377	Source of report of P52 (intracranial nontraumatic haemorrhage of foetus and newborn)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P52, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "intracranial nontraumatic haemorrhage of foetus and newborn".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	1189.5	1	1	1
132378	Date P53 first reported (haemorrhagic disease of foetus and newborn)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P53. The code corresponds to "haemorrhagic disease of foetus and newborn". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	1190	1	1	1
132379	Source of report of P53 (haemorrhagic disease of foetus and newborn)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P53, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "haemorrhagic disease of foetus and newborn".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	1190.5	1	1	1
132380	Date P54 first reported (other neonatal haemorrhages)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P54. The code corresponds to "other neonatal haemorrhages". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	9	9	1191	1	1	1
132381	Source of report of P54 (other neonatal haemorrhages)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P54, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other neonatal haemorrhages".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	9	9	1191.5	1	1	1
132382	Date P55 first reported (haemolytic disease of foetus and newborn)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P55. The code corresponds to "haemolytic disease of foetus and newborn". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	9	9	1192	1	1	1
132383	Source of report of P55 (haemolytic disease of foetus and newborn)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P55, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "haemolytic disease of foetus and newborn".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	9	9	1192.5	1	1	1
132384	Date P56 first reported (hydrops foetalis due to haemolytic disease)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P56. The code corresponds to "hydrops foetalis due to haemolytic disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1193	1	1	1
132385	Source of report of P56 (hydrops foetalis due to haemolytic disease)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P56, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hydrops foetalis due to haemolytic disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1193.5	1	1	1
132386	Date P57 first reported (kernicterus)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P57. The code corresponds to "kernicterus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1194	1	1	1
132387	Source of report of P57 (kernicterus)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P57, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "kernicterus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1194.5	1	1	1
132388	Date P58 first reported (neonatal jaundice due to other excessive haemolysis)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P58. The code corresponds to "neonatal jaundice due to other excessive haemolysis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	4	4	1195	1	1	1
132389	Source of report of P58 (neonatal jaundice due to other excessive haemolysis)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P58, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "neonatal jaundice due to other excessive haemolysis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	4	4	1195.5	1	1	1
132390	Date P59 first reported (neonatal jaundice from other and unspecified causes)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P59. The code corresponds to "neonatal jaundice from other and unspecified causes". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	23	23	1196	1	1	1
132391	Source of report of P59 (neonatal jaundice from other and unspecified causes)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P59, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "neonatal jaundice from other and unspecified causes".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	23	23	1196.5	1	1	1
132392	Date P60 first reported (disseminated intravascular coagulation of foetus and newborn)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P60. The code corresponds to "disseminated intravascular coagulation of foetus and newborn". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1197	1	1	1
132393	Source of report of P60 (disseminated intravascular coagulation of foetus and newborn)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P60, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disseminated intravascular coagulation of foetus and newborn".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1197.5	1	1	1
132394	Date P61 first reported (other perinatal haematological disorders)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P61. The code corresponds to "other perinatal haematological disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	6	6	1198	1	1	1
132395	Source of report of P61 (other perinatal haematological disorders)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P61, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other perinatal haematological disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	6	6	1198.5	1	1	1
132396	Date P70 first reported (transitory disorders of carbohydrate metabolism specific to foetus and newborn)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P70. The code corresponds to "transitory disorders of carbohydrate metabolism specific to foetus and newborn". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	1199	1	1	1
132397	Source of report of P70 (transitory disorders of carbohydrate metabolism specific to foetus and newborn)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P70, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "transitory disorders of carbohydrate metabolism specific to foetus and newborn".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	1199.5	1	1	1
132398	Date P71 first reported (transitory neonatal disorders of calcium and magnesium metabolism)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P71. The code corresponds to "transitory neonatal disorders of calcium and magnesium metabolism". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	1200	1	1	1
132399	Source of report of P71 (transitory neonatal disorders of calcium and magnesium metabolism)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P71, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "transitory neonatal disorders of calcium and magnesium metabolism".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	1200.5	1	1	1
132400	Date P72 first reported (other transitory neonatal endocrine disorders)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P72. The code corresponds to "other transitory neonatal endocrine disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1201	1	1	1
132401	Source of report of P72 (other transitory neonatal endocrine disorders)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P72, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other transitory neonatal endocrine disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1201.5	1	1	1
132402	Date P74 first reported (other transitory neonatal electrolyte and metabolic disturbances)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P74. The code corresponds to "other transitory neonatal electrolyte and metabolic disturbances". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1202	1	1	1
132403	Source of report of P74 (other transitory neonatal electrolyte and metabolic disturbances)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P74, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other transitory neonatal electrolyte and metabolic disturbances".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1202.5	1	1	1
132404	Date P75 first reported (meconium ileus)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P75. The code corresponds to "meconium ileus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1203	1	1	1
132405	Source of report of P75 (meconium ileus)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P75, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "meconium ileus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1203.5	1	1	1
132406	Date P76 first reported (other intestinal obstruction of newborn)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P76. The code corresponds to "other intestinal obstruction of newborn". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1204	1	1	1
132407	Source of report of P76 (other intestinal obstruction of newborn)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P76, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other intestinal obstruction of newborn".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1204.5	1	1	1
132408	Date P77 first reported (necrotising enterocolitis of foetus and newborn)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P77. The code corresponds to "necrotising enterocolitis of foetus and newborn". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1205	1	1	1
132409	Source of report of P77 (necrotising enterocolitis of foetus and newborn)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P77, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "necrotising enterocolitis of foetus and newborn".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1205.5	1	1	1
132410	Date P78 first reported (other perinatal digestive system disorders)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P78. The code corresponds to "other perinatal digestive system disorders". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	1206	1	1	1
132411	Source of report of P78 (other perinatal digestive system disorders)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P78, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other perinatal digestive system disorders".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	1	1	1206.5	1	1	1
132412	Date P80 first reported (hypothermia of newborn)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P80. The code corresponds to "hypothermia of newborn". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1207	1	1	1
132413	Source of report of P80 (hypothermia of newborn)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P80, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hypothermia of newborn".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1207.5	1	1	1
132414	Date P81 first reported (other disturbances of temperature regulation of newborn)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P81. The code corresponds to "other disturbances of temperature regulation of newborn". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1208	1	1	1
132415	Source of report of P81 (other disturbances of temperature regulation of newborn)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P81, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disturbances of temperature regulation of newborn".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1208.5	1	1	1
132416	Date P83 first reported (other conditions of integument specific to foetus and newborn)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P83. The code corresponds to "other conditions of integument specific to foetus and newborn". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	13	13	1209	1	1	1
132417	Source of report of P83 (other conditions of integument specific to foetus and newborn)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P83, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other conditions of integument specific to foetus and newborn".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	13	13	1209.5	1	1	1
132418	Date P90 first reported (convulsions of newborn)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P90. The code corresponds to "convulsions of newborn". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1210	1	1	1
132419	Source of report of P90 (convulsions of newborn)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P90, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "convulsions of newborn".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1210.5	1	1	1
132420	Date P91 first reported (other disturbances of cerebral status of newborn)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P91. The code corresponds to "other disturbances of cerebral status of newborn". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	1211	1	1	1
132421	Source of report of P91 (other disturbances of cerebral status of newborn)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P91, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other disturbances of cerebral status of newborn".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	1211.5	1	1	1
132422	Date P92 first reported (feeding problems of newborn)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P92. The code corresponds to "feeding problems of newborn". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	13	13	1212	1	1	1
132423	Source of report of P92 (feeding problems of newborn)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P92, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "feeding problems of newborn".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	13	13	1212.5	1	1	1
132424	Date P93 first reported (reactions and intoxications due to drugs administered to foetus and newborn)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P93. The code corresponds to "reactions and intoxications due to drugs administered to foetus and newborn". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1213	1	1	1
132425	Source of report of P93 (reactions and intoxications due to drugs administered to foetus and newborn)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P93, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "reactions and intoxications due to drugs administered to foetus and newborn".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2000-01-01T00:00:00	-1	-1	1213.5	1	1	1
132426	Date P94 first reported (disorders of muscle tone of newborn)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P94. The code corresponds to "disorders of muscle tone of newborn". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	4	4	1214	1	1	1
132427	Source of report of P94 (disorders of muscle tone of newborn)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P94, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "disorders of muscle tone of newborn".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	4	4	1214.5	1	1	1
132428	Date P95 first reported (foetal death of unspecified cause)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P95. The code corresponds to "foetal death of unspecified cause". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	138	138	1215	1	1	1
132429	Source of report of P95 (foetal death of unspecified cause)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P95, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "foetal death of unspecified cause".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	138	138	1215.5	1	1	1
132430	Date P96 first reported (other conditions originating in the perinatal period)	0	3	0	51	0	0	3	0	0	0		2416	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 P96. The code corresponds to "other conditions originating in the perinatal period". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	207	207	1216	1	1	1
132431	Source of report of P96 (other conditions originating in the perinatal period)	0	3	0	21	11	0	3	0	0	0		2416	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 P96, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other conditions originating in the perinatal period".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	207	207	1216.5	1	1	1
132432	Date Q00 first reported (anencephaly and similar malformations)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q00. The code corresponds to "anencephaly and similar malformations". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	4	4	1217	1	1	1
132433	Source of report of Q00 (anencephaly and similar malformations)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q00, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "anencephaly and similar malformations".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	4	4	1217.5	1	1	1
132434	Date Q01 first reported (encephalocele)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q01. The code corresponds to "encephalocele". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	13	13	1218	1	1	1
132435	Source of report of Q01 (encephalocele)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q01, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "encephalocele".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	13	13	1218.5	1	1	1
132436	Date Q02 first reported (microcephaly)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q02. The code corresponds to "microcephaly". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	1219	1	1	1
132437	Source of report of Q02 (microcephaly)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q02, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "microcephaly".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	1219.5	1	1	1
132438	Date Q03 first reported (congenital hydrocephalus)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q03. The code corresponds to "congenital hydrocephalus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	46	46	1220	1	1	1
132439	Source of report of Q03 (congenital hydrocephalus)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q03, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital hydrocephalus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	46	46	1220.5	1	1	1
132440	Date Q04 first reported (other congenital malformations of brain)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q04. The code corresponds to "other congenital malformations of brain". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	102	102	1221	1	1	1
132441	Source of report of Q04 (other congenital malformations of brain)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q04, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital malformations of brain".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	102	102	1221.5	1	1	1
132442	Date Q05 first reported (spina bifida)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q05. The code corresponds to "spina bifida". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	408	408	1222	1	1	1
132443	Source of report of Q05 (spina bifida)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q05, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "spina bifida".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	408	408	1222.5	1	1	1
132444	Date Q06 first reported (other congenital malformations of spinal cord)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q06. The code corresponds to "other congenital malformations of spinal cord". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	46	46	1223	1	1	1
132445	Source of report of Q06 (other congenital malformations of spinal cord)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q06, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital malformations of spinal cord".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	46	46	1223.5	1	1	1
132446	Date Q07 first reported (other congenital malformations of nervous system)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q07. The code corresponds to "other congenital malformations of nervous system". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	163	163	1224	1	1	1
132447	Source of report of Q07 (other congenital malformations of nervous system)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q07, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital malformations of nervous system".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	163	163	1224.5	1	1	1
132448	Date Q10 first reported (congenital malformations of eyelid, lachrymal apparatus and orbit)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q10. The code corresponds to "congenital malformations of eyelid, lachrymal apparatus and orbit". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	146	146	1225	1	1	1
132449	Source of report of Q10 (congenital malformations of eyelid, lachrymal apparatus and orbit)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q10, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital malformations of eyelid, lachrymal apparatus and orbit".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	146	146	1225.5	1	1	1
132450	Date Q11 first reported (anophthalmos, microphthalmos and macrophthalmos)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q11. The code corresponds to "anophthalmos, microphthalmos and macrophthalmos". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	33	33	1226	1	1	1
132451	Source of report of Q11 (anophthalmos, microphthalmos and macrophthalmos)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q11, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "anophthalmos, microphthalmos and macrophthalmos".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	33	33	1226.5	1	1	1
132452	Date Q12 first reported (congenital lens malformations)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q12. The code corresponds to "congenital lens malformations". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	340	340	1227	1	1	1
132453	Source of report of Q12 (congenital lens malformations)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q12, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital lens malformations".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	340	340	1227.5	1	1	1
132454	Date Q13 first reported (congenital malformations of anterior segment of eye)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q13. The code corresponds to "congenital malformations of anterior segment of eye". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	70	70	1228	1	1	1
132455	Source of report of Q13 (congenital malformations of anterior segment of eye)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q13, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital malformations of anterior segment of eye".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	70	70	1228.5	1	1	1
132456	Date Q14 first reported (congenital malformations of posterior segment of eye)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q14. The code corresponds to "congenital malformations of posterior segment of eye". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	326	326	1229	1	1	1
132457	Source of report of Q14 (congenital malformations of posterior segment of eye)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q14, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital malformations of posterior segment of eye".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	326	326	1229.5	1	1	1
132458	Date Q15 first reported (other congenital malformations of eye)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q15. The code corresponds to "other congenital malformations of eye". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	56	56	1230	1	1	1
132459	Source of report of Q15 (other congenital malformations of eye)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q15, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital malformations of eye".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	56	56	1230.5	1	1	1
132460	Date Q16 first reported (congenital malformations of ear causing impairment of hearing)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q16. The code corresponds to "congenital malformations of ear causing impairment of hearing". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	70	70	1231	1	1	1
132461	Source of report of Q16 (congenital malformations of ear causing impairment of hearing)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q16, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital malformations of ear causing impairment of hearing".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	70	70	1231.5	1	1	1
132462	Date Q17 first reported (other congenital malformations of ear)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q17. The code corresponds to "other congenital malformations of ear". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	130	130	1232	1	1	1
132463	Source of report of Q17 (other congenital malformations of ear)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q17, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital malformations of ear".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	130	130	1232.5	1	1	1
132464	Date Q18 first reported (other congenital malformations of face and neck)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q18. The code corresponds to "other congenital malformations of face and neck". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	271	271	1233	1	1	1
132465	Source of report of Q18 (other congenital malformations of face and neck)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q18, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital malformations of face and neck".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	271	271	1233.5	1	1	1
132466	Date Q20 first reported (congenital malformations of cardiac chambers and connexions)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q20. The code corresponds to "congenital malformations of cardiac chambers and connexions". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	37	37	1234	1	1	1
132467	Source of report of Q20 (congenital malformations of cardiac chambers and connexions)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q20, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital malformations of cardiac chambers and connexions".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	37	37	1234.5	1	1	1
132468	Date Q21 first reported (congenital malformations of cardiac septa)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q21. The code corresponds to "congenital malformations of cardiac septa". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1380	1380	1235	1	1	1
132469	Source of report of Q21 (congenital malformations of cardiac septa)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q21, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital malformations of cardiac septa".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1380	1380	1235.5	1	1	1
132470	Date Q22 first reported (congenital malformations of pulmonary and tricuspid valves)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q22. The code corresponds to "congenital malformations of pulmonary and tricuspid valves". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	65	65	1236	1	1	1
132471	Source of report of Q22 (congenital malformations of pulmonary and tricuspid valves)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q22, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital malformations of pulmonary and tricuspid valves".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	65	65	1236.5	1	1	1
132472	Date Q23 first reported (congenital malformations of aortic and mitral valves)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q23. The code corresponds to "congenital malformations of aortic and mitral valves". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	781	781	1237	1	1	1
132473	Source of report of Q23 (congenital malformations of aortic and mitral valves)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q23, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital malformations of aortic and mitral valves".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	781	781	1237.5	1	1	1
132474	Date Q24 first reported (other congenital malformations of heart)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q24. The code corresponds to "other congenital malformations of heart". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	471	471	1238	1	1	1
132475	Source of report of Q24 (other congenital malformations of heart)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q24, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital malformations of heart".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	471	471	1238.5	1	1	1
132476	Date Q25 first reported (congenital malformations of great arteries)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q25. The code corresponds to "congenital malformations of great arteries". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	292	292	1239	1	1	1
132477	Source of report of Q25 (congenital malformations of great arteries)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q25, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital malformations of great arteries".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	292	292	1239.5	1	1	1
132478	Date Q26 first reported (congenital malformations of great veins)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q26. The code corresponds to "congenital malformations of great veins". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	47	47	1240	1	1	1
132479	Source of report of Q26 (congenital malformations of great veins)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q26, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital malformations of great veins".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	47	47	1240.5	1	1	1
132480	Date Q27 first reported (other congenital malformations of peripheral vascular system)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q27. The code corresponds to "other congenital malformations of peripheral vascular system". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	374	374	1241	1	1	1
132481	Source of report of Q27 (other congenital malformations of peripheral vascular system)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q27, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital malformations of peripheral vascular system".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	374	374	1241.5	1	1	1
132482	Date Q28 first reported (other congenital malformations of circulatory system)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q28. The code corresponds to "other congenital malformations of circulatory system". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	287	287	1242	1	1	1
132483	Source of report of Q28 (other congenital malformations of circulatory system)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q28, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital malformations of circulatory system".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	287	287	1242.5	1	1	1
132484	Date Q30 first reported (congenital malformations of nose)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q30. The code corresponds to "congenital malformations of nose". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	101	101	1243	1	1	1
132485	Source of report of Q30 (congenital malformations of nose)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q30, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital malformations of nose".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	101	101	1243.5	1	1	1
132486	Date Q31 first reported (congenital malformations of larynx)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q31. The code corresponds to "congenital malformations of larynx". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	81	81	1244	1	1	1
132487	Source of report of Q31 (congenital malformations of larynx)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q31, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital malformations of larynx".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	81	81	1244.5	1	1	1
132488	Date Q32 first reported (congenital malformations of trachea and bronchus)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q32. The code corresponds to "congenital malformations of trachea and bronchus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	19	19	1245	1	1	1
132489	Source of report of Q32 (congenital malformations of trachea and bronchus)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q32, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital malformations of trachea and bronchus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	19	19	1245.5	1	1	1
132490	Date Q33 first reported (congenital malformations of lung)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q33. The code corresponds to "congenital malformations of lung". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	76	76	1246	1	1	1
132491	Source of report of Q33 (congenital malformations of lung)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q33, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital malformations of lung".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	76	76	1246.5	1	1	1
132492	Date Q34 first reported (other congenital malformations of respiratory system)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q34. The code corresponds to "other congenital malformations of respiratory system". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	15	15	1247	1	1	1
132493	Source of report of Q34 (other congenital malformations of respiratory system)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q34, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital malformations of respiratory system".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	15	15	1247.5	1	1	1
132494	Date Q35 first reported (cleft palate)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q35. The code corresponds to "cleft palate". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	45	45	1248	1	1	1
132495	Source of report of Q35 (cleft palate)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q35, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cleft palate".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	45	45	1248.5	1	1	1
132496	Date Q36 first reported (cleft lip)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q36. The code corresponds to "cleft lip". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	10	10	1249	1	1	1
132497	Source of report of Q36 (cleft lip)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q36, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cleft lip".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	10	10	1249.5	1	1	1
132498	Date Q37 first reported (cleft palate with cleft lip)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q37. The code corresponds to "cleft palate with cleft lip". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	45	45	1250	1	1	1
132499	Source of report of Q37 (cleft palate with cleft lip)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q37, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cleft palate with cleft lip".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	45	45	1250.5	1	1	1
132500	Date Q38 first reported (other congenital malformations of tongue, mouth and pharynx)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q38. The code corresponds to "other congenital malformations of tongue, mouth and pharynx". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	676	676	1251	1	1	1
132501	Source of report of Q38 (other congenital malformations of tongue, mouth and pharynx)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q38, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital malformations of tongue, mouth and pharynx".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	676	676	1251.5	1	1	1
132502	Date Q39 first reported (congenital malformations of oesophagus)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q39. The code corresponds to "congenital malformations of oesophagus". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	316	316	1252	1	1	1
132503	Source of report of Q39 (congenital malformations of oesophagus)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q39, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital malformations of oesophagus".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	316	316	1252.5	1	1	1
132504	Date Q40 first reported (other congenital malformations of upper alimentary tract)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q40. The code corresponds to "other congenital malformations of upper alimentary tract". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	337	337	1253	1	1	1
132505	Source of report of Q40 (other congenital malformations of upper alimentary tract)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q40, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital malformations of upper alimentary tract".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	337	337	1253.5	1	1	1
132506	Date Q41 first reported (congenital absence, atresia and stenosis of small intestine)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q41. The code corresponds to "congenital absence, atresia and stenosis of small intestine". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	7	7	1254	1	1	1
132507	Source of report of Q41 (congenital absence, atresia and stenosis of small intestine)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q41, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital absence, atresia and stenosis of small intestine".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	7	7	1254.5	1	1	1
132508	Date Q42 first reported (congenital absence, atresia and stenosis of large intestine)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q42. The code corresponds to "congenital absence, atresia and stenosis of large intestine". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	24	24	1255	1	1	1
132509	Source of report of Q42 (congenital absence, atresia and stenosis of large intestine)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q42, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital absence, atresia and stenosis of large intestine".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-01-25T00:00:00	24	24	1255.5	1	1	1
132510	Date Q43 first reported (other congenital malformations of intestine)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q43. The code corresponds to "other congenital malformations of intestine". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	616	616	1256	1	1	1
132511	Source of report of Q43 (other congenital malformations of intestine)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q43, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital malformations of intestine".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	616	616	1256.5	1	1	1
132512	Date Q44 first reported (congenital malformations of gallbladder, bile ducts and liver)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q44. The code corresponds to "congenital malformations of gallbladder, bile ducts and liver". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	307	307	1257	1	1	1
132513	Source of report of Q44 (congenital malformations of gallbladder, bile ducts and liver)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q44, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital malformations of gallbladder, bile ducts and liver".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	307	307	1257.5	1	1	1
132514	Date Q45 first reported (other congenital malformations of digestive system)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q45. The code corresponds to "other congenital malformations of digestive system". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	94	94	1258	1	1	1
132515	Source of report of Q45 (other congenital malformations of digestive system)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q45, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital malformations of digestive system".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	94	94	1258.5	1	1	1
132516	Date Q50 first reported (congenital malformations of ovaries, fallopian tubes and broad ligaments)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q50. The code corresponds to "congenital malformations of ovaries, fallopian tubes and broad ligaments". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	326	326	1259	1	1	1
132517	Source of report of Q50 (congenital malformations of ovaries, fallopian tubes and broad ligaments)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q50, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital malformations of ovaries, fallopian tubes and broad ligaments".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	326	326	1259.5	1	1	1
132518	Date Q51 first reported (congenital malformations of uterus and cervix)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q51. The code corresponds to "congenital malformations of uterus and cervix". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	369	369	1260	1	1	1
132519	Source of report of Q51 (congenital malformations of uterus and cervix)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q51, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital malformations of uterus and cervix".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	369	369	1260.5	1	1	1
132520	Date Q52 first reported (other congenital malformations of female genitalia)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q52. The code corresponds to "other congenital malformations of female genitalia". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	222	222	1261	1	1	1
132521	Source of report of Q52 (other congenital malformations of female genitalia)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q52, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital malformations of female genitalia".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	222	222	1261.5	1	1	1
132522	Date Q53 first reported (undescended testicle)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q53. The code corresponds to "undescended testicle". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	601	601	1262	1	1	1
132523	Source of report of Q53 (undescended testicle)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q53, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "undescended testicle".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	601	601	1262.5	1	1	1
132524	Date Q54 first reported (hypospadias)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q54. The code corresponds to "hypospadias". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	303	303	1263	1	1	1
132525	Source of report of Q54 (hypospadias)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q54, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "hypospadias".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	303	303	1263.5	1	1	1
132526	Date Q55 first reported (other congenital malformations of male genital organs)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q55. The code corresponds to "other congenital malformations of male genital organs". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	162	162	1264	1	1	1
132527	Source of report of Q55 (other congenital malformations of male genital organs)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q55, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital malformations of male genital organs".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	162	162	1264.5	1	1	1
132528	Date Q56 first reported (indeterminate sex and pseudohermaphroditism)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q56. The code corresponds to "indeterminate sex and pseudohermaphroditism". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	1265	1	1	1
132529	Source of report of Q56 (indeterminate sex and pseudohermaphroditism)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q56, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "indeterminate sex and pseudohermaphroditism".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	1265.5	1	1	1
132530	Date Q60 first reported (renal agenesis and other reduction defects of kidney)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q60. The code corresponds to "renal agenesis and other reduction defects of kidney". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	377	377	1266	1	1	1
132531	Source of report of Q60 (renal agenesis and other reduction defects of kidney)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q60, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "renal agenesis and other reduction defects of kidney".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	377	377	1266.5	1	1	1
132532	Date Q61 first reported (cystic kidney disease)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q61. The code corresponds to "cystic kidney disease". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-06T00:00:00	1079	1079	1267	1	1	1
132533	Source of report of Q61 (cystic kidney disease)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q61, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "cystic kidney disease".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1079	1079	1267.5	1	1	1
132534	Date Q62 first reported (congenital obstructive defects of renal pelvis and congenital malformations of ureter)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q62. The code corresponds to "congenital obstructive defects of renal pelvis and congenital malformations of ureter". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	179	179	1268	1	1	1
132535	Source of report of Q62 (congenital obstructive defects of renal pelvis and congenital malformations of ureter)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q62, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital obstructive defects of renal pelvis and congenital malformations of ureter".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	179	179	1268.5	1	1	1
132536	Date Q63 first reported (other congenital malformations of kidney)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q63. The code corresponds to "other congenital malformations of kidney". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	730	730	1269	1	1	1
132537	Source of report of Q63 (other congenital malformations of kidney)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q63, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital malformations of kidney".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	730	730	1269.5	1	1	1
132538	Date Q64 first reported (other congenital malformations of urinary system)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q64. The code corresponds to "other congenital malformations of urinary system". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	195	195	1270	1	1	1
132539	Source of report of Q64 (other congenital malformations of urinary system)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q64, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital malformations of urinary system".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	195	195	1270.5	1	1	1
132540	Date Q65 first reported (congenital deformities of hip)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q65. The code corresponds to "congenital deformities of hip". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	359	359	1271	1	1	1
132541	Source of report of Q65 (congenital deformities of hip)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q65, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital deformities of hip".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	359	359	1271.5	1	1	1
132542	Date Q66 first reported (congenital deformities of feet)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q66. The code corresponds to "congenital deformities of feet". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1194	1194	1272	1	1	1
132543	Source of report of Q66 (congenital deformities of feet)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q66, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital deformities of feet".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	1194	1194	1272.5	1	1	1
132544	Date Q67 first reported (congenital musculoskeletal deformities of head, face, spine and chest)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q67. The code corresponds to "congenital musculoskeletal deformities of head, face, spine and chest". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	339	339	1273	1	1	1
132545	Source of report of Q67 (congenital musculoskeletal deformities of head, face, spine and chest)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q67, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital musculoskeletal deformities of head, face, spine and chest".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	339	339	1273.5	1	1	1
132546	Date Q68 first reported (other congenital musculoskeletal deformities)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q68. The code corresponds to "other congenital musculoskeletal deformities". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	116	116	1274	1	1	1
132547	Source of report of Q68 (other congenital musculoskeletal deformities)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q68, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital musculoskeletal deformities".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	116	116	1274.5	1	1	1
132548	Date Q69 first reported (polydactyly)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q69. The code corresponds to "polydactyly". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	13	13	1275	1	1	1
132549	Source of report of Q69 (polydactyly)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q69, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "polydactyly".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	13	13	1275.5	1	1	1
132550	Date Q70 first reported (syndactyly)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q70. The code corresponds to "syndactyly". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	51	51	1276	1	1	1
132551	Source of report of Q70 (syndactyly)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q70, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "syndactyly".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	51	51	1276.5	1	1	1
132552	Date Q71 first reported (reduction defects of upper limb)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q71. The code corresponds to "reduction defects of upper limb". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	31	31	1277	1	1	1
132553	Source of report of Q71 (reduction defects of upper limb)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q71, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "reduction defects of upper limb".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	31	31	1277.5	1	1	1
132554	Date Q72 first reported (reduction defects of lower limb)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q72. The code corresponds to "reduction defects of lower limb". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	52	52	1278	1	1	1
132555	Source of report of Q72 (reduction defects of lower limb)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q72, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "reduction defects of lower limb".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	52	52	1278.5	1	1	1
132556	Date Q73 first reported (reduction defects of unspecified limb)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q73. The code corresponds to "reduction defects of unspecified limb". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	10	10	1279	1	1	1
132557	Source of report of Q73 (reduction defects of unspecified limb)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q73, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "reduction defects of unspecified limb".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	10	10	1279.5	1	1	1
132558	Date Q74 first reported (other congenital malformations of limb(s))	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q74. The code corresponds to "other congenital malformations of limb(s)". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	291	291	1280	1	1	1
132559	Source of report of Q74 (other congenital malformations of limb(s))	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q74, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital malformations of limb(s)".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	291	291	1280.5	1	1	1
132560	Date Q75 first reported (other congenital malformations of skull and face bones)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q75. The code corresponds to "other congenital malformations of skull and face bones". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	42	42	1281	1	1	1
132561	Source of report of Q75 (other congenital malformations of skull and face bones)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q75, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital malformations of skull and face bones".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2022-02-01T00:00:00	42	42	1281.5	1	1	1
132562	Date Q76 first reported (congenital malformations of spine and bony thorax)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q76. The code corresponds to "congenital malformations of spine and bony thorax". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	860	860	1282	1	1	1
132563	Source of report of Q76 (congenital malformations of spine and bony thorax)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q76, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital malformations of spine and bony thorax".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	860	860	1282.5	1	1	1
132564	Date Q77 first reported (osteochondrodysplasia with defects of growth of tubular bones and spine)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q77. The code corresponds to "osteochondrodysplasia with defects of growth of tubular bones and spine". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	41	41	1283	1	1	1
132565	Source of report of Q77 (osteochondrodysplasia with defects of growth of tubular bones and spine)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q77, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "osteochondrodysplasia with defects of growth of tubular bones and spine".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	41	41	1283.5	1	1	1
132566	Date Q78 first reported (other osteochondrodysplasias)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q78. The code corresponds to "other osteochondrodysplasias". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	219	219	1284	1	1	1
132567	Source of report of Q78 (other osteochondrodysplasias)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q78, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other osteochondrodysplasias".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	219	219	1284.5	1	1	1
132568	Date Q79 first reported (congenital malformations of musculoskeletal system, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q79. The code corresponds to "congenital malformations of musculoskeletal system, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	329	329	1285	1	1	1
132569	Source of report of Q79 (congenital malformations of musculoskeletal system, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q79, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital malformations of musculoskeletal system, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	329	329	1285.5	1	1	1
132570	Date Q80 first reported (congenital ichthyosis)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q80. The code corresponds to "congenital ichthyosis". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	135	135	1286	1	1	1
132571	Source of report of Q80 (congenital ichthyosis)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q80, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital ichthyosis".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	135	135	1286.5	1	1	1
132572	Date Q81 first reported (epidermolysis bullosa)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q81. The code corresponds to "epidermolysis bullosa". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	28	28	1287	1	1	1
132573	Source of report of Q81 (epidermolysis bullosa)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q81, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "epidermolysis bullosa".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	28	28	1287.5	1	1	1
132574	Date Q82 first reported (other congenital malformations of skin)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q82. The code corresponds to "other congenital malformations of skin". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	1664	1664	1288	1	1	1
132575	Source of report of Q82 (other congenital malformations of skin)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q82, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital malformations of skin".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	1664	1664	1288.5	1	1	1
132576	Date Q83 first reported (congenital malformations of breast)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q83. The code corresponds to "congenital malformations of breast". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	171	171	1289	1	1	1
132577	Source of report of Q83 (congenital malformations of breast)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q83, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital malformations of breast".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	171	171	1289.5	1	1	1
132578	Date Q84 first reported (other congenital malformations of integument)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q84. The code corresponds to "other congenital malformations of integument". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-01-25T00:00:00	115	115	1290	1	1	1
132579	Source of report of Q84 (other congenital malformations of integument)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q84, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital malformations of integument".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-01-25T00:00:00	115	115	1290.5	1	1	1
132580	Date Q85 first reported (phakomatoses, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q85. The code corresponds to "phakomatoses, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	376	376	1291	1	1	1
132581	Source of report of Q85 (phakomatoses, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q85, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "phakomatoses, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	376	376	1291.5	1	1	1
132582	Date Q86 first reported (congenital malformation syndromes due to known exogenous causes, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q86. The code corresponds to "congenital malformation syndromes due to known exogenous causes, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	1292	1	1	1
132583	Source of report of Q86 (congenital malformation syndromes due to known exogenous causes, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q86, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "congenital malformation syndromes due to known exogenous causes, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	2	2	1292.5	1	1	1
132584	Date Q87 first reported (other specified congenital malformation syndromes affecting multiple systems)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q87. The code corresponds to "other specified congenital malformation syndromes affecting multiple systems". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	330	330	1293	1	1	1
132585	Source of report of Q87 (other specified congenital malformation syndromes affecting multiple systems)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q87, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other specified congenital malformation syndromes affecting multiple systems".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	330	330	1293.5	1	1	1
132586	Date Q89 first reported (other congenital malformations, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q89. The code corresponds to "other congenital malformations, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	415	415	1294	1	1	1
132587	Source of report of Q89 (other congenital malformations, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q89, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other congenital malformations, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	415	415	1294.5	1	1	1
132588	Date Q90 first reported (down's syndrome)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q90. The code corresponds to "down's syndrome". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	48	48	1295	1	1	1
132589	Source of report of Q90 (down's syndrome)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q90, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "down's syndrome".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	48	48	1295.5	1	1	1
132590	Date Q91 first reported (edwards' syndrome and patau's syndrome)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q91. The code corresponds to "edwards' syndrome and patau's syndrome". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2020-10-20T00:00:00	14	14	1296	1	1	1
132591	Source of report of Q91 (edwards' syndrome and patau's syndrome)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q91, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "edwards' syndrome and patau's syndrome".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2020-10-20T00:00:00	14	14	1296.5	1	1	1
132592	Date Q92 first reported (other trisomies and partial trisomies of the autosomes, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q92. The code corresponds to "other trisomies and partial trisomies of the autosomes, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	22	22	1297	1	1	1
132593	Source of report of Q92 (other trisomies and partial trisomies of the autosomes, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q92, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other trisomies and partial trisomies of the autosomes, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2021-12-02T00:00:00	22	22	1297.5	1	1	1
132594	Date Q93 first reported (monosomies and deletions from the autosomes, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q93. The code corresponds to "monosomies and deletions from the autosomes, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	18	18	1298	1	1	1
132595	Source of report of Q93 (monosomies and deletions from the autosomes, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q93, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "monosomies and deletions from the autosomes, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-02-26T00:00:00	18	18	1298.5	1	1	1
132596	Date Q95 first reported (balanced rearrangements and structural markers, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q95. The code corresponds to "balanced rearrangements and structural markers, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	6	6	1299	1	1	1
132597	Source of report of Q95 (balanced rearrangements and structural markers, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q95, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "balanced rearrangements and structural markers, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	6	6	1299.5	1	1	1
132598	Date Q96 first reported (turner's syndrome)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q96. The code corresponds to "turner's syndrome". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2021-12-02T00:00:00	59	59	1300	1	1	1
132599	Source of report of Q96 (turner's syndrome)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q96, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "turner's syndrome".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	59	59	1300.5	1	1	1
132600	Date Q97 first reported (other sex chromosome abnormalities, female phenotype, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q97. The code corresponds to "other sex chromosome abnormalities, female phenotype, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2019-08-22T00:00:00	9	9	1301	1	1	1
132601	Source of report of Q97 (other sex chromosome abnormalities, female phenotype, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q97, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other sex chromosome abnormalities, female phenotype, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2019-08-22T00:00:00	9	9	1301.5	1	1	1
132602	Date Q98 first reported (other sex chromosome abnormalities, male phenotype, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q98. The code corresponds to "other sex chromosome abnormalities, male phenotype, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-02-26T00:00:00	72	72	1302	1	1	1
132603	Source of report of Q98 (other sex chromosome abnormalities, male phenotype, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q98, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other sex chromosome abnormalities, male phenotype, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-06T00:00:00	72	72	1302.5	1	1	1
132604	Date Q99 first reported (other chromosome abnormalities, not elsewhere classified)	0	3	0	51	0	0	3	0	0	0		2417	819	0	0	0	0	0	Date of the first occurrence of any code mapped to 3-character ICD10 Q99. The code corresponds to "other chromosome abnormalities, not elsewhere classified". Note that events which were apparently before birth were omitted when constructing this data field.	2019-07-16T00:00:00	2023-03-02T00:00:00	86	86	1303	1	1	1
132605	Source of report of Q99 (other chromosome abnormalities, not elsewhere classified)	0	3	0	21	11	0	3	0	0	0		2417	2171	0	0	0	0	0	Source of the first code mapped to 3-character ICD10 Q99, and whether this code occurs in other source(s) with the same or a later event date. The code corresponds to "other chromosome abnormalities, not elsewhere classified".<p>See ~R593~ for details of how the first source was assigned.	2019-07-16T00:00:00	2023-03-02T00:00:00	86	86	1303.5	1	1	1
