Strong Scaling Tools 1 Al-Zn-Mg-Cu case study
<p>All data, results, and scripts from Al-Zn-Mg-Cu high-throughput case study.</p> <p><strong>*.zip</strong> are the specimen-specific PARAPROBE results and POS rawdata.</p> <p><strong>*.pdf</strong> are the PDF reports that were created with the automation of paraprobe-autoreporter.</p> <p><strong>src.zip</strong> contains the source code of the paraprobe-autoreporter Python classes with which the results were computed. This source code is meant as a documentation of the results only!<br> <strong>Instead, all users should always use the latest versions of the PARAPROBE tools from the GitLab repository https://gitlab.mpcdf.mpg.de/mpie-aptfim-toolbox/paraprobe</strong><br> <strong>https://paraprobe-toolbox.readthedocs.org</strong></p>
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