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We developed a globally consistent, gridded dataset defining HSGs from soil texture, bedrock depth, and groundwater. The resulting data product\u2014HYSOGs250m\u2014represents runoff potential at 250\u2009m spatial resolution. Our analysis indicates that the global distribution of soil is dominated by moderately high runoff potential, followed by moderately low, high, and low runoff potential. Low runoff potential, sandy soils are found primarily in parts of the Sahara and Arabian Deserts. High runoff potential soils occur predominantly within tropical and sub-tropical regions. No clear pattern could be discerned for moderately low runoff potential soils, as they occur in arid and humid environments and at both high and low elevations. Potential applications of this data include CN-based runoff modeling, flood risk assessment, and as a covariate for biogeographical analysis of vegetation distributions.<\/jats:p>","DOI":"10.1038\/sdata.2018.91","type":"journal-article","created":{"date-parts":[[2018,5,15]],"date-time":"2018-05-15T13:00:44Z","timestamp":1526389244000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":207,"title":["HYSOGs250m, global gridded hydrologic soil groups for curve-number-based runoff modeling"],"prefix":"10.1038","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2989-7945","authenticated-orcid":false,"given":"C. 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