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Dataset on the distribution location and biological traits of freshwater fishes in the Yangtze River Basin
In this data article, we provide the scientific and theoretical data on fish taxonomy including class, order, family, and genus in the Yangtze River. The Yangtze basin is divided into 56 units, and their geological information including latitude, longitude, latitude, and channel length is recorded....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6226585/ https://www.ncbi.nlm.nih.gov/pubmed/30450401 http://dx.doi.org/10.1016/j.dib.2018.10.093 |
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author | Kang, Bin Huang, Xiaoxia Yan, Yunzhi Yan, Yunrong Lin, Hungdu |
author_facet | Kang, Bin Huang, Xiaoxia Yan, Yunzhi Yan, Yunrong Lin, Hungdu |
author_sort | Kang, Bin |
collection | PubMed |
description | In this data article, we provide the scientific and theoretical data on fish taxonomy including class, order, family, and genus in the Yangtze River. The Yangtze basin is divided into 56 units, and their geological information including latitude, longitude, latitude, and channel length is recorded. Fish presence/absence data at the unit scale are reported. Biological traits including morphological, physiological, and ecological characters of each fish species are also described, numeralized, and reported. These data are the foundation of the analyses and results in the article “Continental-scale analysis of taxonomic and functional fish diversity in the Yangtze River” (Kang et al., 2018). |
format | Online Article Text |
id | pubmed-6226585 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-62265852018-11-16 Dataset on the distribution location and biological traits of freshwater fishes in the Yangtze River Basin Kang, Bin Huang, Xiaoxia Yan, Yunzhi Yan, Yunrong Lin, Hungdu Data Brief Agricultural and Biological Science In this data article, we provide the scientific and theoretical data on fish taxonomy including class, order, family, and genus in the Yangtze River. The Yangtze basin is divided into 56 units, and their geological information including latitude, longitude, latitude, and channel length is recorded. Fish presence/absence data at the unit scale are reported. Biological traits including morphological, physiological, and ecological characters of each fish species are also described, numeralized, and reported. These data are the foundation of the analyses and results in the article “Continental-scale analysis of taxonomic and functional fish diversity in the Yangtze River” (Kang et al., 2018). Elsevier 2018-10-26 /pmc/articles/PMC6226585/ /pubmed/30450401 http://dx.doi.org/10.1016/j.dib.2018.10.093 Text en © 2018 The Authors 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 | Agricultural and Biological Science Kang, Bin Huang, Xiaoxia Yan, Yunzhi Yan, Yunrong Lin, Hungdu Dataset on the distribution location and biological traits of freshwater fishes in the Yangtze River Basin |
title | Dataset on the distribution location and biological traits of freshwater fishes in the Yangtze River Basin |
title_full | Dataset on the distribution location and biological traits of freshwater fishes in the Yangtze River Basin |
title_fullStr | Dataset on the distribution location and biological traits of freshwater fishes in the Yangtze River Basin |
title_full_unstemmed | Dataset on the distribution location and biological traits of freshwater fishes in the Yangtze River Basin |
title_short | Dataset on the distribution location and biological traits of freshwater fishes in the Yangtze River Basin |
title_sort | dataset on the distribution location and biological traits of freshwater fishes in the yangtze river basin |
topic | Agricultural and Biological Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6226585/ https://www.ncbi.nlm.nih.gov/pubmed/30450401 http://dx.doi.org/10.1016/j.dib.2018.10.093 |
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