Data_logistic regressions_Reproductive Senescence in Polar Bears in a Variable Environment

Thise csv files contain the capture data and the environmental data used in the logistic regression of litter production and the logistic regression of litter size. CR_f_lone_or_w_coys.csv: includes all females captured alone or with cubs-of-the-year between 2000 and 2022. unique_ID: unique ID of the capture (ID of the bear and date of capture) date: date of capture year: year of capture day_number: day of year of capture (with 1 corresponding to January 1) ID_NR: ID of the bear lat: latitude (decimal degrees) lon: longitude (decimal degrees) age: age at capture s_length: straight line body length cub_status: reproductive status at capture, "n" = no cubs, "c" = with cubs of the year cub_number: number of cubs accompanying the female at capture CR_f_w_coys.csv: includes all females captured with cubs-of-the-year between 1992 and 2022 unique_ID: unique ID of the capture (ID of the bear and date of capture) date: date of capture year: year of capture day_number: day of year of capture (with 1 corresponding to January 1) ID_NR: ID of the bear lat: latitude (decimal degrees) lon: longitude (decimal degrees) age: age at capture s_length: straight line body length cub_status: reproductive status at capture, "n" = no cubs, "c" = with cubs of the year cub_number: number of cubs accompanying the female at capture sea sea_ice_data: contains the sea ice-related metrics DateBreakUp: day of year (with 1 corresponding to January 1) of sea-ice break-up. DateFreezeUp: day of year (with 1 corresponding to January 1) of sea-ice freeze-up. Values superior to 365 (or 366) indicate that freeze-up occured in the following year. AO_data: contains the Arctic Oscillation-related metrics winter_AO: three-month (Jan, Feb, Mar) average of the AO index for year t prior_winter_AO: three-month (Jan, Feb, Mar) average of the AO index for year t-1 prior_spring_AO: three-month (Apr, May, Jun) average of the AO index for year t-1