Data for: Temperature variation and life history drive nonlinear dynamics of marine fish populations

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数据集描述： 本仓库包含复现本研究分析所需的全部数据。所有代码已向审稿人公开，并将在论文被录用后公开发布。 原始数据来源如下： 1. 鱼类时间序列数据源自RAM遗产种群评估数据库（RAM Legacy Stock Assessment Data Base，Ricard等人，2011；《Fish and Fisheries》） 2. 鱼类物种生活史特征源自FishLife（Thorson等人，2023；《Methods in Ecology Evolution》） 3. 海表温度时间序列源自NOAA OI SST V2高分辨率数据集（NOAA OI SST V2 High Resolution Dataset，https://psl.noaa.gov/data/gridded/data.noaa.oisst.v2.highres.html） 4. 另一组海表温度时间序列源自COBE-SST 2数据集（COBE-SST 2 Dataset，https://psl.noaa.gov/data/gridded/data.cobe2.html） 数据文件列表： - timeseries_ssb.csv：产卵生物量时间序列 - timeseries_rec.csv：补充量时间序列 - timeseries_tc.csv：总捕捞量时间序列 - mean_annual_SST_noaa.oisst.v2.csv：来自NOAA OI SST V2数据集的各群体年均海表温度时间序列 - variation_annual_SST_noaa.oisst.v2.csv：来自NOAA OI SST V2数据集的各群体年内海表温度变异时间序列 - data_correlates_sst_traits_ssb_r_tc.csv：涵盖所有研究群体的生活史与温度关联因子数据集 - df_ccm_recruits.csv：用于收敛交叉映射（Convergent Cross Mapping）的补充量与匹配海表温度时间序列 - df_ccm_spawners.csv：用于收敛交叉映射的产卵生物量与匹配海表温度时间序列 - df_ccm_totalCatch.csv：用于收敛交叉映射的总捕捞量与匹配海表温度时间序列 - SST_annualMean_timeseries_donors_COBE_ForSensitivityAnalysis.csv：用于敏感性分析的COBE数据集年均海表温度时间序列 - SST_annual_intraVariation_timeseries_donors_COBE_ForSensitivityAnalysis.csv：用于敏感性分析的COBE数据集年内海表温度变异时间序列 - datassb_forModels.csv：产卵量混合模型所用数据 - datarec_forModels.csv：补充量混合模型所用数据