Dataset for "Studying GPI zones in Al-Zn-Mg alloys by 4D-STEM"
<p>This dataset contains the data used in the publication titled "Studying GPI zones in Al-Zn-Mg alloys by 4D-STEM" currently in review in Materials Characterization.</p> <p>The data in this dataset are:</p> <ul> <li>Raw SPED data</li> <li>All structural models used in the density functional theory (DFT) calculations</li> </ul> <p>The raw SPED data are given as .mib- and .hdr files and can be opened using e.g. the Python package HyperSpy. The jupyter notebook used to analyse the data is available from <a href="https://doi.org/10.5281/zenodo.5518852">10.5281/zenodo.5518852</a>. A total of five SPED datasets were used in the analysis and are included in the .zip-file.</p> <p>The DFT calculations are given in the OUTCAR files. OUTCAR1 contains all the information about the initial relaxation. OUTCAR2 contains all the information about the final relaxations steps at a higher accuracy than OUTCAR1. OUTCAR3 contains all the information about the accurate energy calculations. </p> <p> </p>
ShareScore
36/100
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
- 8
- Engagement
- 0