Data on length-weight and length-length relationships, mean condition factor, and gonadosomatic index of Rutilus rutilus and Perca fluviatilis from the Ob River basin, Western Siberia

被引：2

作者：

Shuman, Leonid A. ^{[1
]}

Selyukov, Aleksandr G. ^{[1
]}

Nekrasov, Innokenty S. ^{[1
]}

Elifano, Andrey V. ^{[2
]}

Yurchenko, Victoria V. ^{[1
]}

机构：

[1] Univ Tyumen, AquaBioSafe Lab, Volodarskogo St 6, Tyumen 625003, Russia

[2] Univ Tyumen, Inst Biol, Tyumen, Russia

来源：

DATA IN BRIEF | 2022年 / 42卷

关键词：

LWR; LLR; GSI; Linear regression; Fish; Roach; Perch;

D O I：

10.1016/j.dib.2022.108067

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Raw data were obtained from 250 specimens of roach Rutilus rutilus and 274 specimens of perch Perca fluviatilis at 15 sampling sites located from North to South Taiga. Fish sampling was performed using gill-nets with 22 and 28 mm mesh. Total and eviscerated weights, total and standard lengths, fish sex, gonad weight and maturity stage were recorded. Linear regression analysis of log-transformed total weight and total length values was performed. Regression slope and intercept were used to obtain length-weight relationships and mean condition factor values. Length-length relationships were calculated by the linear regression between the total and standard lengths. Gonadosomatic index was determined using the gonad weight and the total weight of fish. The data are useful for establishing biomass, fish growth patterns, relative condition of individuals within a sample or across populations. (C) 2022 The Author(s). Published by Elsevier Inc.

引用

页数：6