zenodoopen
Quantifying Human Contributions to Near-Surface Temperature Inversions: Insights from COVID-19 Natural Experiments
<p>These are the processed data and code used to generate our analysis in the article: </p> <ul> <li>Zhang, Z., Wang, J., & Ge, Y. (2024). Quantifying Human Contributions to Near-Surface Temperature Inversions: Insights From COVID-19 Natural Experiments. Geophysical Research Letters, 51(6), e2023GL107964. https://doi.org/10.1029/2023GL107964</li> </ul> <p>If you have any question about our data or code used in the analysis, please contact us at zhangzy.20b@igsnrr.ac.cn</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
- 8
- Engagement
- 0
ScienceDex for faculty
Your academic CV and NIH biosketch
Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.