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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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. |
format | Online Article Text |
id | pubmed-7452710 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT lizhi spatialpatternsofvegetationcarbonsinksandsourcesdatasetincentralasia AT chenyaning spatialpatternsofvegetationcarbonsinksandsourcesdatasetincentralasia AT zhangqifei spatialpatternsofvegetationcarbonsinksandsourcesdatasetincentralasia AT liyang spatialpatternsofvegetationcarbonsinksandsourcesdatasetincentralasia |