data and code for manuscript "Temperature dependent pollinator-mediated selection on floral thermoregulation"

revised_selection_code_Oct2025.R: code used to analyze data in manuscript. all_differentials_revised2.csv: dataset used to test for temperature-dependent selection on floral thermoregulation. Has univariate and multivariate selection gradients on floral thermoregulation metrics for each component of fitness. femfit_2022.csv: traits and phenotypes used in 2022 selection analyses using seed number as a fitness metric standardized within population and pollination treatment. femfit_2023.csv: traits and phenotypes used in 2023 selection analyses using seed number as a fitness metric standardized within population and pollination treatment. malefit_22.csv: traits and phenotypes used in 2022 selection analyses of pollen export and pollen viability standardized within population. malefit_23.csv: traits and phenotypes used in 2023 selection analyses of pollen export and pollen viability standardized within population. 2022_temps_CLEANED_selnonly.csv.zip: 1min dataset of air temperature, flower temperature and deltaT for all data in 2022. Used to generate 4hr averages and to test for repeatability of deltaT. cleaned_2023_temps.csv.zip: 1min dataset of air temperature, flower temperature and deltaT for all data in 2023. Used to generate 4hr averages and to test for repeatability of deltaT.