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Spatiotemporal hydro-chemical and isotopic dataset of the tropical Nyando river basin in Kenya
This article presents hydro-chemical and isotopic (δ(15)N-, δ(18)O‒NO(3)(−), δ(11)B) data of water samples and potential nitrate sources from the Nyando river basin, a tributary of the Lake Victoria in Kenya. The data collection involved field sampling of water samples in 23 sampling stations spatia...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856418/ https://www.ncbi.nlm.nih.gov/pubmed/33553533 http://dx.doi.org/10.1016/j.dib.2021.106787 |
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author | Nyilitya, Benjamin Mureithi, Stephen Boeckx, Pascal |
author_facet | Nyilitya, Benjamin Mureithi, Stephen Boeckx, Pascal |
author_sort | Nyilitya, Benjamin |
collection | PubMed |
description | This article presents hydro-chemical and isotopic (δ(15)N-, δ(18)O‒NO(3)(−), δ(11)B) data of water samples and potential nitrate sources from the Nyando river basin, a tributary of the Lake Victoria in Kenya. The data collection involved field sampling of water samples in 23 sampling stations spatially distributed in the basin during nine seasons from July/2016 to May/2018. The hydro-chemical data was generated from the Laboratory analysis of the water samples using the ion chromatogram. Samples for nitrate isotope (δ(15)N-, δ(18)O‒NO(3)(−)) analysis were prepared via the bacterial denitrification method and analysed using Isotope Ratio Mass Spectrometer. The data, which is categorised in different land use zones and seasons, is important for understanding the spatiotemporal variation in nitrate and solute concentrations and the role of land use on the river water quality. In addition, the δ(15)N-, δ(18)O‒NO(3)(−) and δ(11)B values are key for elucidating nitrate pollution sources and potential biogeochemical processes for the management and control of nutrient pollution and eutrophication of the Lake Victoria. Furthermore, the dataset can be of great use in water quality models for understanding non-point pollution dynamics in tropical basins. This article is related to [1]. |
format | Online Article Text |
id | pubmed-7856418 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-78564182021-02-05 Spatiotemporal hydro-chemical and isotopic dataset of the tropical Nyando river basin in Kenya Nyilitya, Benjamin Mureithi, Stephen Boeckx, Pascal Data Brief Data Article This article presents hydro-chemical and isotopic (δ(15)N-, δ(18)O‒NO(3)(−), δ(11)B) data of water samples and potential nitrate sources from the Nyando river basin, a tributary of the Lake Victoria in Kenya. The data collection involved field sampling of water samples in 23 sampling stations spatially distributed in the basin during nine seasons from July/2016 to May/2018. The hydro-chemical data was generated from the Laboratory analysis of the water samples using the ion chromatogram. Samples for nitrate isotope (δ(15)N-, δ(18)O‒NO(3)(−)) analysis were prepared via the bacterial denitrification method and analysed using Isotope Ratio Mass Spectrometer. The data, which is categorised in different land use zones and seasons, is important for understanding the spatiotemporal variation in nitrate and solute concentrations and the role of land use on the river water quality. In addition, the δ(15)N-, δ(18)O‒NO(3)(−) and δ(11)B values are key for elucidating nitrate pollution sources and potential biogeochemical processes for the management and control of nutrient pollution and eutrophication of the Lake Victoria. Furthermore, the dataset can be of great use in water quality models for understanding non-point pollution dynamics in tropical basins. This article is related to [1]. Elsevier 2021-01-21 /pmc/articles/PMC7856418/ /pubmed/33553533 http://dx.doi.org/10.1016/j.dib.2021.106787 Text en © 2021 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 | Data Article Nyilitya, Benjamin Mureithi, Stephen Boeckx, Pascal Spatiotemporal hydro-chemical and isotopic dataset of the tropical Nyando river basin in Kenya |
title | Spatiotemporal hydro-chemical and isotopic dataset of the tropical Nyando river basin in Kenya |
title_full | Spatiotemporal hydro-chemical and isotopic dataset of the tropical Nyando river basin in Kenya |
title_fullStr | Spatiotemporal hydro-chemical and isotopic dataset of the tropical Nyando river basin in Kenya |
title_full_unstemmed | Spatiotemporal hydro-chemical and isotopic dataset of the tropical Nyando river basin in Kenya |
title_short | Spatiotemporal hydro-chemical and isotopic dataset of the tropical Nyando river basin in Kenya |
title_sort | spatiotemporal hydro-chemical and isotopic dataset of the tropical nyando river basin in kenya |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856418/ https://www.ncbi.nlm.nih.gov/pubmed/33553533 http://dx.doi.org/10.1016/j.dib.2021.106787 |
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