Bird populations most exposed to climate change are less sensitive to climatic variation

Includes phenological and climate data used for analysis of article titled 'Bird populations most exposed to climate change are less sensitive to climatic variation' (Nature Communications). Each data file is described below, with a description of all columns. - baileyetal_phenology_data.csv: Primary data used as the basis for all analysis. Column name Description Pop_ID Unique population ID. Species Species ID. Can be either GT (great tit/Parus major) or BT (blue tit/Cyanistes caeruleus). Sample_year Calendar year in which laying date was recorded. Mean Mean laying date (April days). SE Standard error of mean laying date (April days). Min Minimum observed laying date (April days). Count Total number of first nests laying date records for this population/species/year combination. Date Starting date used sliding window analysis (dd/mm/yyyy). SE_calc Inverse of standard error (1/SE), used to weight statistical models. Temp Mean temperature (oC) within population specific temperaturewindow - Pop_info.csv:Information about each study location where data were collected. Column name Description Site_Name Full name of study site Pop_ID Unique population ID Habitat_Type Either deciduous dominant (DEC), evergreen dominant (EVE), or mixed (MIX). Latitude Latitudinal coordinates of study site Longitude Longitudinal coordinates of study site Latitude_new_temp Latitudinal coordinates used to extract data from ECA&D gridded dataset. In most cases this will be identical to column Latitude; however, in 4 cases (Sagunto, Cardiff, Barcelona, Askainen) latitude is shifted slightly to overlap with the gridded dataset. Longitude_new_temp Longitudinal coordinates used to extract data from ECA&D gridded dataset. In most cases this will be identical to column Longitude; however, in 4 cases (Sagunto, Cardiff, Barcelona, Askainen) longitude is shifted slightly to overlap with the gridded dataset. -Sicily_temp_data.csv:Temperature data from study population in Sicily used to fit temperature window. Column name Description Year Year of temperature data collection Month Month of temperature data collection Day Day of temperature data collection Temperature Mean daily temperature (oC) -Vlieland_temp_data_old.csv: Temperature data used to determine temperature windows for Vlieland, Netherlands (1954 - 2016). Column name Description STN KNMI station number Date Date of weather data (dd/mm/yyyy) Mean Daily mean temperature (oC) Min Daily minimum temperature (oC) Max Daily maximum temperature (oC) -Vlieland_temp_data_new.csv: Temperature data used to determine temperature windows for Vlieland, Netherlands (1996 - 2017). Column name Description Station_no KNMI station number Date Date of weather data (yyyymmdd) Mean Daily mean temperature (oC) Min Daily minimum temperature (oC) Max Daily maximum temperature (oC) -slidingwin_results.rar:Compressed file containing results of sliding time window analysis for all population/species combinations. Each population/species combination has three corresponding files: - PopID_Sp.RDS: Results of sliding time window analysis. - PopID_Sp_rand.RDS: Results of randomization procedure to deal with issues of multiple testing. - PopID_Sp_SEM.RDS: Results of structural equation model used to apply detrending to analysis.