U.S. national water and energy land dataset for integrated multisector dynamics research

Jillian Sturtevant; Ryan A. McManamay; Christopher R. DeRolph

doi:10.1038/s41597-022-01290-w

Scientific Data (Apr 2022)

U.S. national water and energy land dataset for integrated multisector dynamics research

Jillian Sturtevant,
Ryan A. McManamay,
Christopher R. DeRolph

Affiliations

Jillian Sturtevant: Department of Environmental Science, Baylor University
Ryan A. McManamay: Department of Environmental Science, Baylor University
Christopher R. DeRolph: Environmental Sciences Division, Oak Ridge National Laboratory

DOI: https://doi.org/10.1038/s41597-022-01290-w
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 12

Abstract

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Measurement(s) land use of renewable and nonrenewable technologies Technology Type(s) Esri Arcmap Sample Characteristic - Environment terrestrial; • aquatic Sample Characteristic - Location United States

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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