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4 image cytochrome dataset with per-shot spectra recorded on the Jungfrau 16M detector at SwissFEL in NeXus format

<p>Cytochrome data recorded in 2019 on the Jungfrau 16M detector recorded at SwissFEL including per-shot spectra measure each SASE pulse.</p> <p>First a NeXus master file was created using scripts in cctbx.xfel:</p> <p>libtbx.python `libtbx.find_in_repositories xfel`/swissfel/jf16m_cxigeom2nexus.py unassembled_file=run_000795.JF07T32V01.h5 geom_file=16M_bernina_backview_optimized_adu_quads.geom wavelength=1.3038 detector_distance=163.9 output_file=./run_000795.JF07T32V01_master_spectrum.h5 beam_file=run_000795.BSREAD.h5 include_spectra=True</p> <p>Then it was sliced down to 4 images that successfully index using the attached script, sliceit.py</p> <p>The file can be processed by DIALS using this command:</p> <p>dials.stills_process&nbsp;run_000795.JF07T32V01_master_spectrum_4img.h5 indexing.phil&nbsp;</p> <p>Where the indexing phil refers to the attached mask and refined geometry file, both produced by DIALS.</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

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

Stewardship
4
Harmonization
8
Access
20
Reuse readiness
8
Engagement
0