Published February 9, 2024 | Version v1

3D Electron Diffraction data of GSF form III

  • 1. ROR icon Stockholm University

Description

3D electron diffraction (3D ED) data of griseofulvin (GSF) form III (GSF form III) collected automatically using software EPU-D at 100 K on a ThermoFisher Titan Krios (300 kV) equipped with a CETA-D detector.

A total of 231 datasets were collected from a sample containing multiple phases of GSF in 2 days. Crystal identification and selection were performed by an operator while 3D ED data collection was carried out fully automatically. Data was processed automatically by software package edtools (https://doi.org/10.5281/zenodo.6953489) using XDS (https://doi.org/10.1107/S0907444909047337). A hierarchical clustering analysis (HCA) algorithm implemented in edtools was used to cluster the datasets belonging to the same phase through the Euclidean distance between the unit cell parameters. Out of the 231 datasets collected, 45 datasets were idneitified to be the GSF form III.

Files

gsf2-6.zip

Files (36.5 GB)

Name Size
md5:764f1a6073df9f5daa23df51b7ed88f5
802.6 MB Preview Download
md5:8cb1d2eb0a57f18d075aebfb29e108c2
818.3 MB Preview Download
md5:70c36e79a9663a8e1d9826dbdc9e2499
820.6 MB Preview Download
md5:8bf4ec9a46864392b88c247377671724
812.9 MB Preview Download
md5:00a4194af449fcd4672881cfecf64142
802.7 MB Preview Download
md5:f06e9b90def688e6a2b1dbc36ffd4ba8
766.2 MB Preview Download
md5:8ef8555abb4d3e3cc13cae43c80ebecf
829.3 MB Preview Download
md5:277ad4ba11200a3a697135beaa08b73d
819.6 MB Preview Download
md5:d0176317dc9a764ad9217ad253a8a717
793.1 MB Preview Download
md5:73df70da81513826afcea60925b4811d
793.4 MB Preview Download
md5:25d7b73374df9046644f3d46b68b39b8
801.6 MB Preview Download
md5:81d1746c62546847ee6b932192487ded
801.5 MB Preview Download
md5:e03153ba4595d08f34ee9deaf93cfb69
812.7 MB Preview Download
md5:fd0900913a119978daeb2f5a1068e6ff
855.9 MB Preview Download
md5:ec22e892b47fe83d78965729d47fa437
853.0 MB Preview Download
md5:fc53be66e818715275af2ae5734fd250
827.0 MB Preview Download
md5:2f11d95647f13c9b590cda0bb0fa4fc1
826.7 MB Preview Download
md5:b969170b6beead474946d29ecbfa7362
838.3 MB Preview Download
md5:ad5fac266aded128abc351ed3564e451
803.2 MB Preview Download
md5:ec7f7726e4993cdd37e33670dedb9bb1
818.7 MB Preview Download
md5:7dc1469cc86ef06b4426327d4eb3f48e
816.0 MB Preview Download
md5:053543baa68e404e7036ba031dbe18a8
820.1 MB Preview Download
md5:69d799b59e4ad473d444b9d7f3c08d47
799.7 MB Preview Download
md5:43da3736cd41d6bb88981f89496be5d1
817.7 MB Preview Download
md5:f926e1e00b8eee614013f85393cece61
810.4 MB Preview Download
md5:a8700a65636863779355654ca1c62169
804.3 MB Preview Download
md5:0ba714d73f1f1f0941689a5c65e0b655
797.1 MB Preview Download
md5:78d65bc08dd8002335c2f81aaf3aac4f
809.4 MB Preview Download
md5:f98441baac6782ff41066509651fb990
803.7 MB Preview Download
md5:7db790417e217b2933b3a2a0d5324a7d
794.9 MB Preview Download
md5:0117562225ac457d8188d66a88c870fd
796.7 MB Preview Download
md5:25336fc98584438d13427127919c9563
770.1 MB Preview Download
md5:35b1274910234bba1a4b56eeca257dc7
804.1 MB Preview Download
md5:38955848ddaafb84613512322cd36d2b
816.7 MB Preview Download
md5:85b3a043235141b0c7f0664ba13fa59e
810.8 MB Preview Download
md5:b3bfd5aa050e57b6bf03af01a3a77887
805.8 MB Preview Download
md5:1cfb80de036aadb1a8618cd59badc263
818.6 MB Preview Download
md5:e5d39ddb434cd01a764a613221437083
797.8 MB Preview Download
md5:e7bde7c3d6590820ebf0e608355ced98
804.1 MB Preview Download
md5:61453d2678d7cf53ba5f6f72b9d0c3ba
838.2 MB Preview Download
md5:3315971d38403eedf16cade3326c1d88
844.0 MB Preview Download
md5:6b7d440fb5ee688c1448d41020d85952
803.9 MB Preview Download
md5:d4a6e9b9974f3d6c257622c7d7d25484
795.6 MB Preview Download
md5:8f827eb97196a6e6b0219f7096ecca29
804.5 MB Preview Download
md5:4a223428109de7aea8e87acd2db7feab
821.7 MB Preview Download

Additional details

Related works

Continues
Dataset: 10.5281/zenodo.10635566 (DOI)

Funding

Swedish Research Council
Starting Grant 2017-05333
Swedish Research Council
RÃ¥dsprofessor 2019-00815
Knut and Alice Wallenberg Foundation
Wallenberg Scholar 2019.0124
Science for Life Laboratory
MicroED@SciLifeLab MicroED@SciLifeLab
Sun Yat-sen University
Guangdong Basic and Applied Basic Research Foundation 2020A1515010782
Sun Yat-sen University
Guangdong Basic and Applied Basic Research Foundation 2022A1515010393