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Data on the chemical composition of Lake Onego water in 2019-2021

The present dataset contains the chemical parameters of Lake Onego water. The data were obtained in different seasons covering the period 2019-2021. The concentration of Na(+) and Cl(−) ions, the content of organic matter (TOC, COD(Mn), COD(Cr), water color, BOD(5)), nutrients (PO(4)-P, TP, NH(4)-N,...

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Autores principales: Zobkov, Mikhail, Zobkova, Maria, Galakhina, Natalia, Efremova, Tatiana, Efremenko, Natalya, Kulik, Natalia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8980533/
https://www.ncbi.nlm.nih.gov/pubmed/35392619
http://dx.doi.org/10.1016/j.dib.2022.108079
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author Zobkov, Mikhail
Zobkova, Maria
Galakhina, Natalia
Efremova, Tatiana
Efremenko, Natalya
Kulik, Natalia
author_facet Zobkov, Mikhail
Zobkova, Maria
Galakhina, Natalia
Efremova, Tatiana
Efremenko, Natalya
Kulik, Natalia
author_sort Zobkov, Mikhail
collection PubMed
description The present dataset contains the chemical parameters of Lake Onego water. The data were obtained in different seasons covering the period 2019-2021. The concentration of Na(+) and Cl(−) ions, the content of organic matter (TOC, COD(Mn), COD(Cr), water color, BOD(5)), nutrients (PO(4)-P, TP, NH(4)-N, NO(2)-N, NO(3)-N, TN), Fe, Mn, heavy metals (Cu, Ni, Cr, Zn, Cd, Pb), total suspended solids (TSS), conductivity, and pH of water were measured. The analyses were carried out by atomic absorption spectrometry, ICP-MS, spectrophotometric, spectrometric, gravimetric, flamephotometric, titrimetric methods, potentiometric, and conductometric determination. The data are useful for comparative analysis of the hydrochemical characteristics of Lake Onego and other large lakes, and they also allow to assess the water quality of the lake as a whole and in its particular individual areas.
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spelling pubmed-89805332022-04-06 Data on the chemical composition of Lake Onego water in 2019-2021 Zobkov, Mikhail Zobkova, Maria Galakhina, Natalia Efremova, Tatiana Efremenko, Natalya Kulik, Natalia Data Brief Data Article The present dataset contains the chemical parameters of Lake Onego water. The data were obtained in different seasons covering the period 2019-2021. The concentration of Na(+) and Cl(−) ions, the content of organic matter (TOC, COD(Mn), COD(Cr), water color, BOD(5)), nutrients (PO(4)-P, TP, NH(4)-N, NO(2)-N, NO(3)-N, TN), Fe, Mn, heavy metals (Cu, Ni, Cr, Zn, Cd, Pb), total suspended solids (TSS), conductivity, and pH of water were measured. The analyses were carried out by atomic absorption spectrometry, ICP-MS, spectrophotometric, spectrometric, gravimetric, flamephotometric, titrimetric methods, potentiometric, and conductometric determination. The data are useful for comparative analysis of the hydrochemical characteristics of Lake Onego and other large lakes, and they also allow to assess the water quality of the lake as a whole and in its particular individual areas. Elsevier 2022-03-21 /pmc/articles/PMC8980533/ /pubmed/35392619 http://dx.doi.org/10.1016/j.dib.2022.108079 Text en © 2022 The Authors https://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
Zobkov, Mikhail
Zobkova, Maria
Galakhina, Natalia
Efremova, Tatiana
Efremenko, Natalya
Kulik, Natalia
Data on the chemical composition of Lake Onego water in 2019-2021
title Data on the chemical composition of Lake Onego water in 2019-2021
title_full Data on the chemical composition of Lake Onego water in 2019-2021
title_fullStr Data on the chemical composition of Lake Onego water in 2019-2021
title_full_unstemmed Data on the chemical composition of Lake Onego water in 2019-2021
title_short Data on the chemical composition of Lake Onego water in 2019-2021
title_sort data on the chemical composition of lake onego water in 2019-2021
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8980533/
https://www.ncbi.nlm.nih.gov/pubmed/35392619
http://dx.doi.org/10.1016/j.dib.2022.108079
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