Data for: When Correlation Matters: On Uncertainty Propagation In The Case Of Data Disaggregation
<p>This is the data repository for our study on “When Correlation Matters: On Uncertainty Propagation In The Case Of Data Disaggregation” submitted to the Journal of Industrial Ecology (JIE).</p> <p>I contains:</p> <ul> <li>The data behind the all numeric plots</li> <li>The data needed to reproduce the case-study results in the Supplementary Information (check out V1)</li> </ul> <p> </p> <p>To reproduce our results you need to download the files from this repo, our code from Github (https://github.com/simschul/uncertainty_disaggregation) and put the data into the `./data` folder. </p> <p>The data is an intermediate output from an earlier study: https://essd.copernicus.org/articles/16/2669/2024/essd-16-2669-2024.html </p> <p>For more information how those intermediate results were created please refer to the paper and the code (https://github.com/simschul/uncertainty_GHG_accounts)</p> <p> </p> <p> </p>
ShareScore
36/100
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
- 4