Data from: Hurry Up and Wait: Managing the Inherent Mismatches in Timescales in Natural and Artificial Photosynthetic Systems
<p>Houle, Frances A.; Yano, Junko; Ager, Joel W.;<br> Hurry Up and Wait: Managing the Inherent Mismatches in Timescales in<br> Natural and Artificial Photosynthetic Systems</p> <p><strong>Files</strong><br> Supplementary data coupled reaction-transport and cascades.xlxs<br> Input parameters for Kinetiscope calculations and associated figure data</p> <p>CO2R microkinetic model-DRC.ipynb<br> CO2R microkinetic model-DRC.pdf<br> Jupyter notebook and pdf for degree of rate control in CO2 reduction<br> Packages used:<br> Python: 3.7.7<br> Numpy: 1.21.5<br> SciPy: 1.7.3<br> Matplotlib: 3.5.1</p> <p>Wang 2018 Pathway 1 only DRC.ipynb<br> Wang 2018 Pathway 1 only DRC.pdf<br> Jupyter notebook and pdf for degree of rate control photoelectrocatalytic water oxidation<br> Python: 3.7.7<br> Numpy: 1.21.5<br> SciPy: 1.7.3<br> mpmath: 1.2.1<br> Matplotlib: 3.5.1</p>
ShareScore
40/100
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
- 4