Description:
This repository contains the data needed to reproduce our analyses. All code has been made available to reviewers and will be publicly released upon manuscript acceptance.
The raw data come from:
Fish time series from the RAM Legacy Stock Assessment Data Base (Ricard et al. 2011; Fish and Fisheries)
Fish species life history traits from FishLife (Thorson et al. 2023; Methods in Ecology Evolution)
Sea surface temperature time series from NOAA OI SST V2 High Resolution Dataset (https://psl.noaa.gov/data/gridded/data.noaa.oisst.v2.highres.html)
Sea surface temperature time series from COBE-SST 2 Dataset (https://psl.noaa.gov/data/gridded/data.cobe2.html)
Data files:
timeseries_ssb.csv - time series of spawner biomass
timeseries_rec.csv - time series of recruitment
timeseries_tc.csv - time series of total catch
mean_annual_SST_noaa.oisst.v2.csv - time series of mean SST for each population from noaa.oisst.v2
variation_annual_SST_noaa.oisst.v2.csv - time series of within year SST variation for each population from noaa.oisst.v2
data_correlates_sst_traits_ssb_r_tc.csv - dataframe of the life history and temperature correlates for all populations
df_ccm_recruits.csv - time series of recruitment and matching SST for convergent cross mapping
df_ccm_spawners.csv - time series of spawner biomass and matching SST for convergent cross mapping
df_ccm_totalCatch.csv - time series of total catch and matching SST for convergent cross mapping
SST_annualMean_timeseries_donors_COBE_ForSensitivityAnalysis.csv - time series of mean SST from COBE
SST_annual_intraVariation_timeseries_donors_COBE_ForSensitivityAnalysis.csv - time series of within year SST variation from COBE
datassb_forModels.csv - data for spawner mixed models
datarec_forModels.csv - data for recruit mixed models
Note: Up to 1000 features for each file are displayed
Citation
APA Citation:
Hechler, R., & Krkosek, M. (2025). Data for: Temperature variation and life history drive nonlinear dynamics of marine fish populations [Data set]. Zenodo. https://zenodo.org/doi/10.5281/zenodo.14673389