3D Electron Diffraction data of GSF IC-I
Authors/Creators
Description
3D electron diffraction (3D ED) data of griseofulvin (GSF) inclusion complex with polyethylene glycol (PEG) form I (GSF IC-I) 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, 15 datasets were idneitified to be the GSF IC-I phase.
Files
gsf2-14.zip
Files
(12.4 GB)
| Name | Size | |
|---|---|---|
|
md5:c148865e44b7bb5fe13e866f16715c7d
|
811.4 MB | Preview Download |
|
md5:d30f74783bc06d7da016ade9aa17a896
|
826.4 MB | Preview Download |
|
md5:a18374b8e2bd80daa241e97e68af492b
|
817.3 MB | Preview Download |
|
md5:72585ccdd6f4d0993941ed8ce2e794c6
|
786.1 MB | Preview Download |
|
md5:09d1f070686af481856679540b56ddf4
|
783.4 MB | Preview Download |
|
md5:1c11b878d4579f2bb590ec3880fce82b
|
820.7 MB | Preview Download |
|
md5:2ca7ecd6d0b6f9e4736a8eb5e5ad3f1a
|
784.3 MB | Preview Download |
|
md5:59c91950a4a780f6cd72a5a345ca1964
|
844.4 MB | Preview Download |
|
md5:992134332c3776a98163ee8108b42be4
|
858.6 MB | Preview Download |
|
md5:8ac79e057023d85af6d10a408149d5d1
|
856.1 MB | Preview Download |
|
md5:2911c67fed2aa72ecd641896a92e512e
|
826.4 MB | Preview Download |
|
md5:b1f2bf73f906547eddfaefe9bea7ac98
|
827.3 MB | Preview Download |
|
md5:d84d27801605bed23937ad72ed06dc71
|
840.6 MB | Preview Download |
|
md5:fea0690cc096c3582a500ca49b5466d5
|
830.0 MB | Preview Download |
|
md5:46e1c7c293c4f6acff22c67fdf910dff
|
845.7 MB | Preview Download |
Additional details
Funding
- Swedish Research Council
- Starting Grant 2017-05333
- Swedish Research Council
- Rådsprofessor 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