GLOBathy, the global lakes bathymetry dataset

Bahram Khazaei; Laura K. Read; Matthew Casali; Kevin M. Sampson; David N. Yates

doi:10.1038/s41597-022-01132-9

Scientific Data (Feb 2022)

GLOBathy, the global lakes bathymetry dataset

Bahram Khazaei,
Laura K. Read,
Matthew Casali,
Kevin M. Sampson,
David N. Yates

Affiliations

Bahram Khazaei: Research Applications Laboratory, National Center for Atmospheric Research
Laura K. Read: Research Applications Laboratory, National Center for Atmospheric Research
Matthew Casali: Research Applications Laboratory, National Center for Atmospheric Research
Kevin M. Sampson: Research Applications Laboratory, National Center for Atmospheric Research
David N. Yates: Research Applications Laboratory, National Center for Atmospheric Research

DOI: https://doi.org/10.1038/s41597-022-01132-9
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 10

Abstract

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Measurement(s) lake depth • reservoir depth • bathymetry • Head-Area-Volume relationship Technology Type(s) machine learning • Geographic Information System • bathymetry data processing Sample Characteristic - Environment water body Sample Characteristic - Location global Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.16695070

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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