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Spatial patterns of vegetation carbon sinks and sources dataset in Central Asia

This dataset includes land use/cover change data with a spatial resolution of 300 m, net ecosystem productivity data based on the monthly grid data of the temperature and precipitation series data from the Climatic Research Unit, terrestrial net primary production data from MOD17 of the Central Asia...

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Detalles Bibliográficos
Autores principales: Li, Zhi, Chen, Yaning, Zhang, Qifei, Li, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452710/
https://www.ncbi.nlm.nih.gov/pubmed/32904354
http://dx.doi.org/10.1016/j.dib.2020.106200
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author Li, Zhi
Chen, Yaning
Zhang, Qifei
Li, Yang
author_facet Li, Zhi
Chen, Yaning
Zhang, Qifei
Li, Yang
author_sort Li, Zhi
collection PubMed
description This dataset includes land use/cover change data with a spatial resolution of 300 m, net ecosystem productivity data based on the monthly grid data of the temperature and precipitation series data from the Climatic Research Unit, terrestrial net primary production data from MOD17 of the Central Asia that underlies the article entitled “Spatial patterns of vegetation carbon sinks and sources under water constraint in Central Asia”. We explain the details of the dataset, the data harmonization procedures, and the spatial coverage. We also provide the validation result of NPP data from MOD17. We unified the spatiotemporal resolution of these data from different sources, based on re-sampling (nearest neighbor interpolation) and re-classification techniques, and combined the data from the different source datasets to form comprehensive records.
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spelling pubmed-74527102020-09-04 Spatial patterns of vegetation carbon sinks and sources dataset in Central Asia Li, Zhi Chen, Yaning Zhang, Qifei Li, Yang Data Brief Environmental Science This dataset includes land use/cover change data with a spatial resolution of 300 m, net ecosystem productivity data based on the monthly grid data of the temperature and precipitation series data from the Climatic Research Unit, terrestrial net primary production data from MOD17 of the Central Asia that underlies the article entitled “Spatial patterns of vegetation carbon sinks and sources under water constraint in Central Asia”. We explain the details of the dataset, the data harmonization procedures, and the spatial coverage. We also provide the validation result of NPP data from MOD17. We unified the spatiotemporal resolution of these data from different sources, based on re-sampling (nearest neighbor interpolation) and re-classification techniques, and combined the data from the different source datasets to form comprehensive records. Elsevier 2020-08-20 /pmc/articles/PMC7452710/ /pubmed/32904354 http://dx.doi.org/10.1016/j.dib.2020.106200 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Environmental Science
Li, Zhi
Chen, Yaning
Zhang, Qifei
Li, Yang
Spatial patterns of vegetation carbon sinks and sources dataset in Central Asia
title Spatial patterns of vegetation carbon sinks and sources dataset in Central Asia
title_full Spatial patterns of vegetation carbon sinks and sources dataset in Central Asia
title_fullStr Spatial patterns of vegetation carbon sinks and sources dataset in Central Asia
title_full_unstemmed Spatial patterns of vegetation carbon sinks and sources dataset in Central Asia
title_short Spatial patterns of vegetation carbon sinks and sources dataset in Central Asia
title_sort spatial patterns of vegetation carbon sinks and sources dataset in central asia
topic Environmental Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452710/
https://www.ncbi.nlm.nih.gov/pubmed/32904354
http://dx.doi.org/10.1016/j.dib.2020.106200
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