zenodoopen
Uncertainty Driven Dynamics for Active Learning of Interatomic Potentials. Glycine and Acetylacetone Data.
<p>Data generated and analyzed in <strong>M.Kulichenko <em>et. al</em>. Uncertainty Driven Dynamics for Active Learning of Interatomic Potentials. <em>Nat. Comput. Sci </em>(2023).</strong></p> <ul> <li>Glycine data sets (MD-AL and UDD-AL).</li> <li>Acetylacetone MD and UDD trajectories.</li> <li>See README.md for details.</li> </ul> <p> </p> <p> </p> <p> </p>
ShareScore
24/100
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
- 0
- Engagement
- 0
Dataset details
- Repository
- zenodo
- Published
- January 10, 2023
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.7526388
Scored with release 0.9.0
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