zenodoopen
Data of "Chemistrees: Data-Driven Identification of Reaction Pathways via Machine Learning"
<p>This is the data and assosiated in-house code for the paper:</p> <p>Chemistrees: Data-Driven Identification of Reaction Pathways via Machine Learning</p> <p>Sander Roet, Christopher D. Daub, and Enrico Riccardi</p> <p>Journal of Chemical Theory and Computation <strong>2021</strong> <em>17</em> (10), 6193-6202</p> <p>DOI: 10.1021/acs.jctc.1c00458</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