Data_logistic regressions_Reproductive Senescence in Polar Bears in a Variable Environment
收藏DataCite Commons2022-08-31 更新2024-07-29 收录
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https://figshare.com/articles/dataset/Data_logistic_regressions_Reproductive_Senescence_in_Polar_Bears_in_a_Variable_Environment/20748847
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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. <br> <strong>CR_f_lone_or_w_coys.csv</strong>: includes all females captured alone or with cubs-of-the-year between 2000 and 2022. <br> 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 <br> <br> <strong>CR_f_w_coys.csv</strong>: includes all females captured with cubs-of-the-year between 1992 and 2022 <br> 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 <br> <strong>sea_ice_data</strong>: contains the sea ice-related metrics <br> 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. <br> <strong>AO_data</strong>: contains the Arctic Oscillation-related metrics <br> 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 <br>
提供机构:
figshare
创建时间:
2022-08-31



