Dataset Open Access

Tinkerforge environmental datasets

Miguel Yuste Fernández Alonso


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    <subfield code="a">&lt;p&gt;Collection of environmental datasets recorded with &lt;a href="https://www.tinkerforge.com/en/"&gt;Tinkerforge&lt;/a&gt; sensors and&amp;nbsp;used in the development of a bachelor thesis on the topic of frequent pattern mining. The data was collected in several locations in the city of Graz, Austria, as well as an additional dataset recorded in Santander, Spain. The following bricklets were used:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;Graz datasets (&lt;em&gt;i12, library_at, mensa_nt, muenzgrabenstrasse, neutorgasse, studienzentrum, vguh, kaiserfeldgasse&lt;/em&gt;):

	&lt;ul&gt;
		&lt;li&gt;Barometer Bricklet&lt;/li&gt;
		&lt;li&gt;Moisture Bricklet&lt;/li&gt;
		&lt;li&gt;Sound Intensity Bricklet&lt;/li&gt;
		&lt;li&gt;Ambient Light Bricklet&lt;/li&gt;
		&lt;li&gt;Humidity Bricklet&lt;/li&gt;
		&lt;li&gt;Temperature Bricklet&lt;/li&gt;
		&lt;li&gt;CO2 Bricklet&lt;/li&gt;
		&lt;li&gt;Motion Detector Bricklet&lt;/li&gt;
		&lt;li&gt;Barometer Bricklet&lt;/li&gt;
	&lt;/ul&gt;
	&lt;/li&gt;
	&lt;li&gt;Santander dataset:
	&lt;ul&gt;
		&lt;li&gt;Motion Detector&amp;nbsp;Bricklet&lt;/li&gt;
		&lt;li&gt;Ambient Light Bricklet 2.0&lt;/li&gt;
		&lt;li&gt;Sound Intensity Bricklet&lt;/li&gt;
		&lt;li&gt;Temperature Bricklet&lt;/li&gt;
		&lt;li&gt;Humidity Bricklet&lt;/li&gt;
		&lt;li&gt;CO2 Bricklet&lt;/li&gt;
		&lt;li&gt;Accelerometer Bricklet&lt;/li&gt;
		&lt;li&gt;Barometer Bricklet (recording also altitude)&lt;/li&gt;
	&lt;/ul&gt;
	&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Additionally, the datasets contain the voltage and chip temperature readings of&amp;nbsp;the Master Brick.&lt;/p&gt;

&lt;p&gt;It should be noted that&amp;nbsp;Tinkerforge bricklets occasionally do not manage to write their recorded values in the time window between two recording frames, and they can also suffer from other disruptions. This produces&amp;nbsp;a considerable number of instances that do not include the data of all sensors (incomplete instants), as well as some readings flagged as erroneous, which should be taken into account when working with the datasets.&lt;/p&gt;</subfield>
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