Individual body mass and length dataset for over 12,000 fish from Iberian streams

Abstract

We provide a unique fish individual body size dataset collected from our own sampling and public sources in north-eastern Spain. The dataset includes individual body size measures (fork length and mass) of 12,288 individuals of 24 fish species within 10 families collected at 118 locations in large rivers and small streams. Fish were caught by one-pass electrofishing following European standard protocols. The fish dataset has information on the local instream conditions including climatic variables (i.e., temperature and precipitation), topography (i.e., altitude), nutrient concentration (i.e., total phosphorus and nitrates), and the IMPRESS values (a measure of cumulative human impacts in lotic ecosystems). The potential uses of this new fish dataset are manifold, including developing size-based indices to further estimate the ecological status of freshwater ecosystems, allometric models, and analysis of variation in body size structure along environmental gradients.

Document Type

Article

Document version

Published version

Language

English

Pages

9

Publisher

Elsevier

Published in

Data in Brief

Grant Agreement Number

MINECO/Programa Estatal de I+D+I orientada a los retos de la sociedad/RTI2018-095363-B-I00/ES/SIZE-BASED APPROACHES TO UNDERSTAND IMPACTS ON RIVER ECOSYSTEM FUNCTIONING/

MICIU/Programa Estatal de generación del conocimiento y fortalecimiento científico y tecnológico del sistema I+D+I y Programa Estatal de I+D+I orientada a los retos de la sociedad/PID2019-103936GB-C21/ES/BIOLOGIA DE LA CONSERVACION DE PECES CIPRINODONTIFORMES EN PELIGRO DE EXTINCION: ECOLOGÍA/

Recommended citation

Arranz, Ignasi, Sandra Brucet, Mireia Bartrons, Carmen García-Comas, Carles Alcaraz, Mònica Bardina, and Patricia Navarro Barquero et al. 2022. "Individual Body Mass And Length Dataset For Over 12,000 Fish From Iberian Streams". Data In Brief 42: 108248. doi:10.1016/j.dib.2022.108248.

Rights

Attribution 4.0 International

Attribution 4.0 International

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