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MicroED datasets of hemin and biotin collected on Ceta camera

<p>MicroED datasets of hemin and biotin microcrystals were collected using Talos Arctica (200 kV) with the CMOS camera Ceta. The stage was controlled using&nbsp;SerialEM and diffraction images were independently&nbsp;collected using Velox software. For this reason, only frames with constant rotation speed should be used for data processing.</p> <p>Rotation step (continuous)&nbsp;was ~1.52&deg;/frame and each dataset consisted of ~40 images (tilt range is +/-30&deg;). The calibrated camera length using Al powder was&nbsp;793.52 mm. Biotin crystals belonged to space group <em>P</em>2<sub>1</sub>2<sub>1</sub>2<sub>1</sub>&nbsp;with a~5.2, b~10.2, c~20.8 &Aring;. ~14 datasets could be merged at ~0.85 &Aring; resolution.&nbsp;Hemin crystals belonged to space group&nbsp;<em>P</em>-1 with a~10.6, b~11.1, c~13.8 &Aring;, &alpha;~107.1&deg;, b~99.5&deg;, c~107.9&deg;. ~12 datasets could be merged at ~0.9 &Aring; resolution.</p> <p>Collection conditions:</p> <ul> <li>biotin: gun lens 8.0, spot 11, C2: parallel beam condition, 0.039e/A^2/sec, total ~3.5e/A^2</li> <li>hemin: gun lens 4.0, spot 11, C2: parallel beam condition, 0.095e/A^2/sec, total ~8.6e/A^2</li> </ul> <p>Note:</p> <ul> <li>emd files (hdf5 format) were transparently compressed using h5repack&nbsp;-f SHUF -f GZIP=4 command to reduce file size.</li> <li>EMD file can be processed with DIALS using <a href="https://github.com/keitaroyam/yamtbx/blob/master/dxtbx_formats/FormatEMD.py">this dxtbx format</a> file.</li> <li>Metadata (machine parameters, stage tilt angles&nbsp;etc.) is stored as json format in&nbsp;/Data/Image/*/Metadata&nbsp;in emd file. See <a href="https://github.com/keitaroyam/yamtbx/wiki/EMD-file">here</a> for details.</li> <li>If you want to process data using DIALS, please see <a href="https://github.com/keitaroyam/yamtbx/wiki/Processing-hemin-and-biotin-MicroED-data">the processing note</a>.</li> </ul>

ShareScore

28/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
0
Engagement
0

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