Supplementary dataset for "One Quarter of Global Data Centers are Located in Water-Stressed Areas

The folder contains the source data relative to the paper:
Rosa, L., Sangiorgio, M., Scanlon, B., Mazzotti, M., Berry, J., and Michalak, A. One Quarter of Global Data Centers are Located in Water-Stressed Areas

available at https://doi.org/10.1021/acs.est.6c08088

SummaryByCountry (.xlsx)

sheet "Summary by country":

Col A - Country name
Col B - Number of data centers

Baseline 2001-2010
Col C - number of data centers expeciencing 0 months per year with water scarcity (= no water scarcity)
Col D - number of data centers expeciencing 1-4 months per year with water scarcity
Col E - number of data centers expeciencing 5-8 months per year with water scarcity
Col F - number of data centers expeciencing 9-12 months per year with water scarcity

+3°C warming scenario
Col G - number of data centers expeciencing 0 months per year of water scarcity (= no water scarcity)
Col H - number of data centers expeciencing 1-4 months per year of water scarcity
Col I - number of data centers expeciencing 5-8 months per year of water scarcity
Col J - number of data centers expeciencing 9-12 months per year of water scarcity

Primary overlapping consumer sector
Col K - number of data centers primary overlapping with Municipal water use
Col L - number of data centers primary overlapping with Electricity water use
Col M - number of data centers primary overlapping with Livestock water use
Col N - number of data centers primary overlapping with Manufacturing water use
Col O - number of data centers primary overlapping with Mining water use
Col P - number of data centers primary overlapping with Irrigation water use

sheets "Fig 1a", "Fig 3 and 4", and "Fig 5b" report the specific information extracted from "Summary by country" to generate each figure/subfigure.

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.

Note #2: Future projections of months per year with water scarcity have been computed for +3°C warming level 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.

Note #3: Pixel- and country-level water gap data under different scenarios are available at: https://doi.org/10.5281/zenodo.13220763.