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A socio-environmental geodatabase for integrative research in the transboundary Rio Grande/Río Bravo basin
Integrative research on water resources requires a wide range of socio-environmental datasets to better understand human-water interactions and inform decision-making. However, in transboundary watersheds, integrating cross-disciplinary and multinational datasets is a daunting task due to the dispar...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7060182/ https://www.ncbi.nlm.nih.gov/pubmed/32144267 http://dx.doi.org/10.1038/s41597-020-0410-1 |
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author | Plassin, Sophie Koch, Jennifer Paladino, Stephanie Friedman, Jack R. Spencer, Kyndra Vaché, Kellie B. |
author_facet | Plassin, Sophie Koch, Jennifer Paladino, Stephanie Friedman, Jack R. Spencer, Kyndra Vaché, Kellie B. |
author_sort | Plassin, Sophie |
collection | PubMed |
description | Integrative research on water resources requires a wide range of socio-environmental datasets to better understand human-water interactions and inform decision-making. However, in transboundary watersheds, integrating cross-disciplinary and multinational datasets is a daunting task due to the disparity of data sources and the inconsistencies in data format, content, resolution, and language. This paper introduces a socio-environmental geodatabase that transcends political and disciplinary boundaries in the Rio Grande/Río Bravo basin (RGB). The geodatabase aggregates 145 GIS data layers on five main themes: (i) Water & Land Governance, (ii) Hydrology, (iii) Water Use & Hydraulic Infrastructures, (iv) Socio-Economics, and (v) Biophysical Environment. Datasets were primarily collected from public open-access data sources, processed with ArcGIS, and documented through the FGCD metadata standard. By synthesizing a broad array of datasets and mapping public and private water governance, we expect to advance interdisciplinary research in the RGB, provide a replicable approach to dataset compilation for transboundary watersheds, and ultimately foster transboundary collaboration for sustainable resource management. |
format | Online Article Text |
id | pubmed-7060182 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70601822020-03-19 A socio-environmental geodatabase for integrative research in the transboundary Rio Grande/Río Bravo basin Plassin, Sophie Koch, Jennifer Paladino, Stephanie Friedman, Jack R. Spencer, Kyndra Vaché, Kellie B. Sci Data Data Descriptor Integrative research on water resources requires a wide range of socio-environmental datasets to better understand human-water interactions and inform decision-making. However, in transboundary watersheds, integrating cross-disciplinary and multinational datasets is a daunting task due to the disparity of data sources and the inconsistencies in data format, content, resolution, and language. This paper introduces a socio-environmental geodatabase that transcends political and disciplinary boundaries in the Rio Grande/Río Bravo basin (RGB). The geodatabase aggregates 145 GIS data layers on five main themes: (i) Water & Land Governance, (ii) Hydrology, (iii) Water Use & Hydraulic Infrastructures, (iv) Socio-Economics, and (v) Biophysical Environment. Datasets were primarily collected from public open-access data sources, processed with ArcGIS, and documented through the FGCD metadata standard. By synthesizing a broad array of datasets and mapping public and private water governance, we expect to advance interdisciplinary research in the RGB, provide a replicable approach to dataset compilation for transboundary watersheds, and ultimately foster transboundary collaboration for sustainable resource management. Nature Publishing Group UK 2020-03-06 /pmc/articles/PMC7060182/ /pubmed/32144267 http://dx.doi.org/10.1038/s41597-020-0410-1 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 Plassin, Sophie Koch, Jennifer Paladino, Stephanie Friedman, Jack R. Spencer, Kyndra Vaché, Kellie B. A socio-environmental geodatabase for integrative research in the transboundary Rio Grande/Río Bravo basin |
title | A socio-environmental geodatabase for integrative research in the transboundary Rio Grande/Río Bravo basin |
title_full | A socio-environmental geodatabase for integrative research in the transboundary Rio Grande/Río Bravo basin |
title_fullStr | A socio-environmental geodatabase for integrative research in the transboundary Rio Grande/Río Bravo basin |
title_full_unstemmed | A socio-environmental geodatabase for integrative research in the transboundary Rio Grande/Río Bravo basin |
title_short | A socio-environmental geodatabase for integrative research in the transboundary Rio Grande/Río Bravo basin |
title_sort | socio-environmental geodatabase for integrative research in the transboundary rio grande/río bravo basin |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7060182/ https://www.ncbi.nlm.nih.gov/pubmed/32144267 http://dx.doi.org/10.1038/s41597-020-0410-1 |
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