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The global lake area, climate, and population dataset

An increasing population in conjunction with a changing climate necessitates a detailed understanding of water abundance at multiple spatial and temporal scales. Remote sensing has provided massive data volumes to track fluctuations in water quantity, yet contextualizing water abundance with other l...

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Autores principales: Meyer, Michael F., Labou, Stephanie G., Cramer, Alli N., Brousil, Matthew R., Luff, Bradley T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289843/
https://www.ncbi.nlm.nih.gov/pubmed/32528065
http://dx.doi.org/10.1038/s41597-020-0517-4
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author Meyer, Michael F.
Labou, Stephanie G.
Cramer, Alli N.
Brousil, Matthew R.
Luff, Bradley T.
author_facet Meyer, Michael F.
Labou, Stephanie G.
Cramer, Alli N.
Brousil, Matthew R.
Luff, Bradley T.
author_sort Meyer, Michael F.
collection PubMed
description An increasing population in conjunction with a changing climate necessitates a detailed understanding of water abundance at multiple spatial and temporal scales. Remote sensing has provided massive data volumes to track fluctuations in water quantity, yet contextualizing water abundance with other local, regional, and global trends remains challenging by often requiring large computational resources to combine multiple data sources into analytically-friendly formats. To bridge this gap and facilitate future freshwater research opportunities, we harmonized existing global datasets to create the Global Lake area, Climate, and Population (GLCP) dataset. The GLCP is a compilation of lake surface area for 1.42 + million lakes and reservoirs of at least 10 ha in size from 1995 to 2015 with co-located basin-level temperature, precipitation, and population data. The GLCP was created with FAIR (findable, accessible, interoperable, reusable) data principles in mind and retains unique identifiers from parent datasets to expedite interoperability. The GLCP offers critical data for basic and applied investigations of lake surface area and water quantity at local, regional, and global scales.
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spelling pubmed-72898432020-06-19 The global lake area, climate, and population dataset Meyer, Michael F. Labou, Stephanie G. Cramer, Alli N. Brousil, Matthew R. Luff, Bradley T. Sci Data Data Descriptor An increasing population in conjunction with a changing climate necessitates a detailed understanding of water abundance at multiple spatial and temporal scales. Remote sensing has provided massive data volumes to track fluctuations in water quantity, yet contextualizing water abundance with other local, regional, and global trends remains challenging by often requiring large computational resources to combine multiple data sources into analytically-friendly formats. To bridge this gap and facilitate future freshwater research opportunities, we harmonized existing global datasets to create the Global Lake area, Climate, and Population (GLCP) dataset. The GLCP is a compilation of lake surface area for 1.42 + million lakes and reservoirs of at least 10 ha in size from 1995 to 2015 with co-located basin-level temperature, precipitation, and population data. The GLCP was created with FAIR (findable, accessible, interoperable, reusable) data principles in mind and retains unique identifiers from parent datasets to expedite interoperability. The GLCP offers critical data for basic and applied investigations of lake surface area and water quantity at local, regional, and global scales. Nature Publishing Group UK 2020-06-11 /pmc/articles/PMC7289843/ /pubmed/32528065 http://dx.doi.org/10.1038/s41597-020-0517-4 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Meyer, Michael F.
Labou, Stephanie G.
Cramer, Alli N.
Brousil, Matthew R.
Luff, Bradley T.
The global lake area, climate, and population dataset
title The global lake area, climate, and population dataset
title_full The global lake area, climate, and population dataset
title_fullStr The global lake area, climate, and population dataset
title_full_unstemmed The global lake area, climate, and population dataset
title_short The global lake area, climate, and population dataset
title_sort global lake area, climate, and population dataset
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289843/
https://www.ncbi.nlm.nih.gov/pubmed/32528065
http://dx.doi.org/10.1038/s41597-020-0517-4
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