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A national-scale data set for dissolved carbon and its spatial pattern in lakes and reservoirs across China
A dissolved carbon (DC) data set, including dissolved organic carbon (DOC) and dissolved inorganic carbon (DIC), from 224 lakes (513 stations) and 141 large reservoirs (337 stations) across China is presented in this study. In addition to DC, the data set also includes results for electrical conduct...
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/PMC7062785/ https://www.ncbi.nlm.nih.gov/pubmed/32152284 http://dx.doi.org/10.1038/s41597-020-0419-5 |
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author | Wen, Zhidan Song, Kaishan Lyu, Lili Fang, Chong Shang, Yingxin Liu, Ge Du, Jia |
author_facet | Wen, Zhidan Song, Kaishan Lyu, Lili Fang, Chong Shang, Yingxin Liu, Ge Du, Jia |
author_sort | Wen, Zhidan |
collection | PubMed |
description | A dissolved carbon (DC) data set, including dissolved organic carbon (DOC) and dissolved inorganic carbon (DIC), from 224 lakes (513 stations) and 141 large reservoirs (337 stations) across China is presented in this study. In addition to DC, the data set also includes results for electrical conductivity (EC), total phosphorus (TP), chlorophyll-a and transparency. The impact of trophic status and EC gradient on DC concentration in water bodies are discussed. Results from our investigation indicate that DC in saline (EC > 1000 μS cm(−1)) water bodies (mean ± S.D, 297.13 ± 356.14 mg L(−1), n = 186) are much higher than those in fresh water bodies (79.55 ± 199.34 mg L(−1), n = 669). Similarly, eutrophic water bodies (n = 552) exhibited higher DC concentrations than mesotrophic (n = 215) and oligotrophic water bodies (n = 85); DC in lakes (158.445 ± 286.52 mg L(−1), n = 513) was significantly higher than DC in reservoirs (37.83 ± 37.53 mg L(−1), n = 337). All data used in this investigation is accessible online. |
format | Online Article Text |
id | pubmed-7062785 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70627852020-03-19 A national-scale data set for dissolved carbon and its spatial pattern in lakes and reservoirs across China Wen, Zhidan Song, Kaishan Lyu, Lili Fang, Chong Shang, Yingxin Liu, Ge Du, Jia Sci Data Data Descriptor A dissolved carbon (DC) data set, including dissolved organic carbon (DOC) and dissolved inorganic carbon (DIC), from 224 lakes (513 stations) and 141 large reservoirs (337 stations) across China is presented in this study. In addition to DC, the data set also includes results for electrical conductivity (EC), total phosphorus (TP), chlorophyll-a and transparency. The impact of trophic status and EC gradient on DC concentration in water bodies are discussed. Results from our investigation indicate that DC in saline (EC > 1000 μS cm(−1)) water bodies (mean ± S.D, 297.13 ± 356.14 mg L(−1), n = 186) are much higher than those in fresh water bodies (79.55 ± 199.34 mg L(−1), n = 669). Similarly, eutrophic water bodies (n = 552) exhibited higher DC concentrations than mesotrophic (n = 215) and oligotrophic water bodies (n = 85); DC in lakes (158.445 ± 286.52 mg L(−1), n = 513) was significantly higher than DC in reservoirs (37.83 ± 37.53 mg L(−1), n = 337). All data used in this investigation is accessible online. Nature Publishing Group UK 2020-03-09 /pmc/articles/PMC7062785/ /pubmed/32152284 http://dx.doi.org/10.1038/s41597-020-0419-5 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 Wen, Zhidan Song, Kaishan Lyu, Lili Fang, Chong Shang, Yingxin Liu, Ge Du, Jia A national-scale data set for dissolved carbon and its spatial pattern in lakes and reservoirs across China |
title | A national-scale data set for dissolved carbon and its spatial pattern in lakes and reservoirs across China |
title_full | A national-scale data set for dissolved carbon and its spatial pattern in lakes and reservoirs across China |
title_fullStr | A national-scale data set for dissolved carbon and its spatial pattern in lakes and reservoirs across China |
title_full_unstemmed | A national-scale data set for dissolved carbon and its spatial pattern in lakes and reservoirs across China |
title_short | A national-scale data set for dissolved carbon and its spatial pattern in lakes and reservoirs across China |
title_sort | national-scale data set for dissolved carbon and its spatial pattern in lakes and reservoirs across china |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062785/ https://www.ncbi.nlm.nih.gov/pubmed/32152284 http://dx.doi.org/10.1038/s41597-020-0419-5 |
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