Using Powder Diffraction Patterns to Calibrate the Module Geometry of a Pixel Detector
<p>Powder diffraction data and jupyter notebooks to accompany the publication: </p> <p>"Using Powder Diffraction Patterns to Calibrate the Module Geometry of a Pixel Detector"</p> <p><a href="https://sciprofiles.com/profile/142400">Jonathan P. Wright</a>, <a href="https://sciprofiles.com/profile/author/Wjg3TE9sVlJleUs2bC9IaVdNeXczVFlwK2p6eW9JTWhoREJiSEZnaWw1TT0=">Carlotta Giacobbe</a> and <a href="https://sciprofiles.com/profile/author/V3JYR2UvT1pjTFdPMWF6Y0pidGdNcHlaQndxMHJOK3pNTkFaRmZaMkU5UT0=">Eleanor Lawrence Bright</a></p> <p><em>Crystals</em> <strong>2022</strong>, <em>12</em>(2), 255; <a href="https://doi.org/10.3390/cryst12020255">https://doi.org/10.3390/cryst12020255</a></p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0
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