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Datasets acquired using Dectris ARINA detector in paper "Using a fast hybrid pixel detector..." doi:10.1088/2515-7639/acf524

<p>Here are the raw data presented in the paper &quot;Using a fast hybrid pixel detector for dose-efficient diffraction imaging beam-sensitive organic molecular thin films&quot;<br> doi:10.1088/2515-7639/acf524</p> <p>It contains multiple datasets:</p> <p>SmB6: The sample is a monocrystalline domain of SmB6 oriented along the &lt;110&gt; zone axis, prepared with FIB by Elisabeth Mueller at PSI. Data was collected with a probe-corrected 200kV TEM microscope, by Daniel Stroppa (Dectris) supported by Mingjian Wu (FAU). Further experimental&nbsp;parameters are mentioned in the paper.</p> <p>Gd2O3 Ptycho: The sample is a quasi-2D poly-crystalline Gd2O3 supported on a carbon TEM grid provided by Baixu Zhu and Xingchen Ye (Indiana University Bloomington). Data was collected with a probe-corrected 200kV TEM microscope, by Philipp Pelz supported by Mingjian Wu. Raw data was a scan of 512x512; a crop of 256x256 was used for reconstruction as presented in the paper. Further experimental&nbsp;parameters are mentioned in the paper</p> <p>Gold thin film: poly-crystalline gold thin film (nominal thickness ~20 nm) deposited on SiN membrane, provided by Peter Denninger (FAU). Data was analyzed using ACOM in py4dstem (ver. 13.17). The analysis notebook is included in the zip. Further experimental&nbsp;parameters are mentioned in the paper.</p> <p>DRCNT_PCBM: bulk hetero-junction organic solar cell thin film provided by Christina Harreiss (FAU). Further experimental&nbsp;parameters (4D-SCED and NBD 4D-STEM) are mentioned in the paper. The same, but pre-processed version (in Gatan dm4 format) of the datasets are in the previous version of this publication.</p> <p>Data visualization and processing can be done with NOVENA software,&nbsp;freely available at DECTRIS website. Alternatively, the files can be opened using a HDF5 file reader.</p>

ShareScore

48/100

Overall dataset sharing score

Score breakdown

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

Stewardship
8
Harmonization
8
Access
16
Reuse readiness
8
Engagement
8

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