Data on length-weight relationships and mean condition factor for Abramis brama and Perca fluviatilis

Data on total weight and standard length of freshwater bream and perch, two of the most abundant fish species in the Volga River basin, were collected monthly from April 2016 to May 2017. Fish were caught using gill-nets with 50 and 80 mm mesh sizes. Linear regression analysis of log-transformed val...

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Autores principales: Yurchenko, Victoria V., Morozov, Alexey A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Agricultural and Biological Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005495/
https://www.ncbi.nlm.nih.gov/pubmed/32055671
http://dx.doi.org/10.1016/j.dib.2020.105204
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author Yurchenko, Victoria V.
Morozov, Alexey A.
author_facet Yurchenko, Victoria V.
Morozov, Alexey A.
author_sort Yurchenko, Victoria V.
collection PubMed
description Data on total weight and standard length of freshwater bream and perch, two of the most abundant fish species in the Volga River basin, were collected monthly from April 2016 to May 2017. Fish were caught using gill-nets with 50 and 80 mm mesh sizes. Linear regression analysis of log-transformed values was performed. Regression slope and intercept were used to obtain length-weight relationships and mean condition factors. The data can be used for calculation of the relative weights of given species and further efforts to develop a mathematical model for the Volga River ecosystem.
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spelling pubmed-70054952020-02-13 Data on length-weight relationships and mean condition factor for Abramis brama and Perca fluviatilis Yurchenko, Victoria V. Morozov, Alexey A. Data Brief Agricultural and Biological Science Data on total weight and standard length of freshwater bream and perch, two of the most abundant fish species in the Volga River basin, were collected monthly from April 2016 to May 2017. Fish were caught using gill-nets with 50 and 80 mm mesh sizes. Linear regression analysis of log-transformed values was performed. Regression slope and intercept were used to obtain length-weight relationships and mean condition factors. The data can be used for calculation of the relative weights of given species and further efforts to develop a mathematical model for the Volga River ecosystem. Elsevier 2020-01-25 /pmc/articles/PMC7005495/ /pubmed/32055671 http://dx.doi.org/10.1016/j.dib.2020.105204 Text en © 2020 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
Yurchenko, Victoria V.
Morozov, Alexey A.
Data on length-weight relationships and mean condition factor for Abramis brama and Perca fluviatilis
title Data on length-weight relationships and mean condition factor for Abramis brama and Perca fluviatilis
title_full Data on length-weight relationships and mean condition factor for Abramis brama and Perca fluviatilis
title_fullStr Data on length-weight relationships and mean condition factor for Abramis brama and Perca fluviatilis
title_full_unstemmed Data on length-weight relationships and mean condition factor for Abramis brama and Perca fluviatilis
title_short Data on length-weight relationships and mean condition factor for Abramis brama and Perca fluviatilis
title_sort data on length-weight relationships and mean condition factor for abramis brama and perca fluviatilis
topic Agricultural and Biological Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005495/
https://www.ncbi.nlm.nih.gov/pubmed/32055671
http://dx.doi.org/10.1016/j.dib.2020.105204
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