Data from 'Spatiotemporal variability of dendroecological indicators in pedunculate oak (Quercus robur L.) tree-rings across Europe in relation to species distribution models'

Data from the article 'Spatiotemporal variability of dendroecological indicators in pedunculate oak (Quercus robur L.) tree-rings across Europe in relation to species distribution models' published in Global Change Biology. The data set contains: initial_data.txt: Initial data (ring width, residual chronology, SDM projections, and bioindicators); SDM projections according to Dyderski et al., (2025) J. Environ. Manage.; bioindicators from Brun et al., (2022) EnviDat; monthly_clim_data.txt: Monthly climate data (monthly climatic parameters used in the analysis from the E-OBS gridded database); first_step_correlations.R: script to run the first step of the analysis - to calculate the climate-growth relationships; correlations_matrix_input_model.txt: output of the first script that includes correlations between RWI and climate factors for different seasons, periods, and aggregation options; second_step_model.R: script to run the second step of the analysis, model calibration for the full model and the individual ones for each climatic factor (climatic water balance, temperature, vapor pressure deficit); model_CWB.Rda: model for oak sensitivity to climatic water balance; model_tmed.Rda: model for oak sensitivity to temperature; model_VPD.Rda: model for oak sensitivity to vapor pressure deficit; model_all.Rda: model including all climatic factors as predictors; For the detailed methodology, please check the second section of the published paper.