zenodoopen
Machine learning meets pKa - Datasets
<p>Datesets belonging to the publication:</p> <p>Baltruschat M and Czodrowski P. Machine learning meets pK<sub>a</sub> [version 2; peer review: 2 approved]. <em>F1000Research</em> 2020, <strong>9</strong>(Chem Inf Sci):113 (<a href="https://doi.org/10.12688/f1000research.22090.2">https://doi.org/10.12688/f1000research.22090.2</a>)</p> <p>Corresponding GitHub repository: <a href="https://github.com/czodrowskilab/Machine-learning-meets-pKa">https://github.com/czodrowskilab/Machine-learning-meets-pKa</a></p>
ShareScore
32/100
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
- 8