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2026
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| Online Access: | https://doi.org/10.5281/zenodo.18187056 |
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| _version_ | 1866901691314470912 |
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| author | Rosa, Lorenzo Sangiorgio, Matteo Scanlon, Bridget Mazzotti, Marco Berry, Joseph A Michalak, Anna |
| author_facet | Rosa, Lorenzo Sangiorgio, Matteo Scanlon, Bridget Mazzotti, Marco Berry, Joseph A Michalak, Anna |
| contents | <p>The folder contains the source data relative to the paper:<br>Rosa, L., Sangiorgio, M., Scanlon, B., Mazzotti, M., Berry, J., and Michalak, A. One quarter of global data centers experience water scarcity</p> <p><br>SummaryByCountry (.xlsx)</p> <p>sheet "Summary by country":</p> <p>Col A - Country name<br>Col B - Number of data centers</p> <p>Baseline 2001-2010<br>Col C - number of data centers expeciencing 0 months per year with water scarcity (= no water scarcity)<br>Col D - number of data centers expeciencing 1-4 months per year with water scarcity<br>Col E - number of data centers expeciencing 5-8 months per year with water scarcity<br>Col F - number of data centers expeciencing 9-12 months per year with water scarcity</p> <p>+1.5°C warming scenario<br>Col G - number of data centers expeciencing 0 months per year with water scarcity (= no water scarcity)<br>Col H - number of data centers expeciencing 1-4 months per year with water scarcity<br>Col I - number of data centers expeciencing 5-8 months per year with water scarcity<br>Col J - number of data centers expeciencing 9-12 months per year with water scarcity</p> <p>+3°C warming scenario<br>Col K - number of data centers expeciencing 0 months per year with water scarcity (= no water scarcity)<br>Col L - number of data centers expeciencing 1-4 months per year with water scarcity<br>Col M - number of data centers expeciencing 5-8 months per year with water scarcity<br>Col N - number of data centers expeciencing 9-12 months per year with water scarcity</p> <p>Primary overlapping consumer sector<br>Col O - number of data centers primary overlapping with Municipal water use<br>Col P - number of data centers primary overlapping with Electricity water use<br>Col Q - number of data centers primary overlapping with Livestock water use<br>Col R - number of data centers primary overlapping with Manufacturing water use<br>Col S - number of data centers primary overlapping with Mining water use<br>Col T - number of data centers primary overlapping with Irrigation water use</p> <p> </p> <p>sheets "Fig 1a", "Fig 3 and 4", and "Fig 5b" report the specific information extracted from "Summary by country" to generate each figure/subfigure.</p> <p> </p> <p>Note #1: Spatially distributed information (lat/lon) of each data center is derived from a proprietary compilation provided by Saoradh Enterprise Partners and, consequently, the data relative to Fig 1b, Fig 2, and Fig 5a cannot be made available by the authors.</p> <p>Note #2: Future projections of months per year with water scarcity have been computed for 2 warming levels (+1.5°C and +3°C) as a multi-model average of 5 climate models (IPSL-CM6A-LR, UKESM1-0-LL, GFDL ESM4, MPI-ESM1.2-HR, and MRI-ESM2.0), and using H08 as a global hydrological model.</p> <p>Note #3: Pixel- and country-level water gap data under different scenarios are available at: https://doi.org/10.5281/zenodo.13220763.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18187056 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Supplementary dataset for "One quarter of global data centers experience water scarcity" Rosa, Lorenzo Sangiorgio, Matteo Scanlon, Bridget Mazzotti, Marco Berry, Joseph A Michalak, Anna <p>The folder contains the source data relative to the paper:<br>Rosa, L., Sangiorgio, M., Scanlon, B., Mazzotti, M., Berry, J., and Michalak, A. One quarter of global data centers experience water scarcity</p> <p><br>SummaryByCountry (.xlsx)</p> <p>sheet "Summary by country":</p> <p>Col A - Country name<br>Col B - Number of data centers</p> <p>Baseline 2001-2010<br>Col C - number of data centers expeciencing 0 months per year with water scarcity (= no water scarcity)<br>Col D - number of data centers expeciencing 1-4 months per year with water scarcity<br>Col E - number of data centers expeciencing 5-8 months per year with water scarcity<br>Col F - number of data centers expeciencing 9-12 months per year with water scarcity</p> <p>+1.5°C warming scenario<br>Col G - number of data centers expeciencing 0 months per year with water scarcity (= no water scarcity)<br>Col H - number of data centers expeciencing 1-4 months per year with water scarcity<br>Col I - number of data centers expeciencing 5-8 months per year with water scarcity<br>Col J - number of data centers expeciencing 9-12 months per year with water scarcity</p> <p>+3°C warming scenario<br>Col K - number of data centers expeciencing 0 months per year with water scarcity (= no water scarcity)<br>Col L - number of data centers expeciencing 1-4 months per year with water scarcity<br>Col M - number of data centers expeciencing 5-8 months per year with water scarcity<br>Col N - number of data centers expeciencing 9-12 months per year with water scarcity</p> <p>Primary overlapping consumer sector<br>Col O - number of data centers primary overlapping with Municipal water use<br>Col P - number of data centers primary overlapping with Electricity water use<br>Col Q - number of data centers primary overlapping with Livestock water use<br>Col R - number of data centers primary overlapping with Manufacturing water use<br>Col S - number of data centers primary overlapping with Mining water use<br>Col T - number of data centers primary overlapping with Irrigation water use</p> <p> </p> <p>sheets "Fig 1a", "Fig 3 and 4", and "Fig 5b" report the specific information extracted from "Summary by country" to generate each figure/subfigure.</p> <p> </p> <p>Note #1: Spatially distributed information (lat/lon) of each data center is derived from a proprietary compilation provided by Saoradh Enterprise Partners and, consequently, the data relative to Fig 1b, Fig 2, and Fig 5a cannot be made available by the authors.</p> <p>Note #2: Future projections of months per year with water scarcity have been computed for 2 warming levels (+1.5°C and +3°C) as a multi-model average of 5 climate models (IPSL-CM6A-LR, UKESM1-0-LL, GFDL ESM4, MPI-ESM1.2-HR, and MRI-ESM2.0), and using H08 as a global hydrological model.</p> <p>Note #3: Pixel- and country-level water gap data under different scenarios are available at: https://doi.org/10.5281/zenodo.13220763.</p> |
| title | Supplementary dataset for "One quarter of global data centers experience water scarcity" |
| url | https://doi.org/10.5281/zenodo.18187056 |