Submarine groundwater discharge metal contamination to the coastal ocean risk model

Input and output data for submarine groundwater discharge (SGD) metal contamination global hotspot risk model. Data were sourced from publicly available datasets and geospatial analyses were conducted using ArcGIS Pro.

Data include zipped shapefile, csv, and read-me with description of data.

Data sources:

HydroBASINS; Sub-basin polygons; population density (Linke et al., 2019 https://doi.org/10.1038/s41597-019-0300-6)

Mines: (Jasansky et al., 2022 https://doi.org/10.5281/zenodo.7369478; Jasansky et al., 2023 https://doi.org/10.1038/s41597-023-01965-y; Orris & Grauch, 2002 http://pubs.usgs.gov/of/2002/of02-189/)

Wastewater treatment level (United Nations (UN) Data. (2023 http://data.un.org/Data.aspx?d=ENV&f=variableID:164#ENV). Population connected to wastewater treatment; Global Administrative Areas (GADM), 2022 (www.gadm.org)

Submarine groundwater discharge (Luijendijk et al., 2020 https://doi.org/10.1038/s41467-020-15064-8)

Acid sulfate soils (Proske et al., 2014 https://doi.org/10.1071/sr14103)

Sea-level rise (modeled CMIP6, SSPS 8.5, 2° warming with respect to 1850-1900; Iturbide et al., 2021 (https://github.com/IPCC-WG1/Atlas; Gutiérrez et al., 2021 http://interactive-atlas.ipcc.ch/)