Datasets associated with "Improving Small Molecule Force Fields by Identifying and Characterizing Small Molecules with Inconsistent Parameters"
<p>This provides associated datasets for a paper/preprint forthcoming soon, by Ehrman et al., "Improving small molecule force fields by identifying and characterizing small molecules with inconsistent parameters". A poster describing an earlier portion of the work is available at https://doi.org/10.5281/zenodo.3385278. The AllMolsAllData.csv.gz file provides a Pandas dataframe for the full set of molecules considered, as described in the paper, whereas the 25andunderarchive.tar.gz provides optimized geometries for 265,847 molecules with four or more difference flags.</p>
ShareScore
32/100
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
- 4
Topics
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