Data for Atmospheric pressure predicts probability of departure for migratory songbirds

Data from Movement Ecology article: Atmospheric pressure predicts probability of departure for migratory songbirds <br> This dataset includes all data necessary to reproduce the departure date and weather analysis in the above paper. For full weather analysis using Cox proportional hazards models, leave dataset as is. To carry out basic descriptive statistics or ANOVA on departure date data, you must first filter the data to include only Departure_Event = 1 (n = 280). These are the actual departure date events. All other rows are weather data from dates prior to the departure event. <br> <strong>Variable explanation:</strong> <br> Motus_Tag_ID = Unique identifiers in Motus Wildlife Tracking System databases <br> Species_Name = Common and scientific species names <br> Species_Season = Species abbreviation, season of departure, and location of departure <br> Spring_or_Fall_Departure = Variable defining season of departure <br> Age = Age class of individual where HY = Hatch Year, AHY = After Hatch Year, SY = Second Year, ASY = After Second Year <br> Sex = Sex of individual where F = female and M = male <br> Departure_Lat = Latitude of departure location in decimal degrees <br> Departure_Lon = Longitude of departure location in decimal degrees <br> Departure_DateTime_UTC = Estimated departure date and time in UTC timezone <br> Start_Time = First day of departure window for weather analysis <br> End_Time = Last day of departure window for weather analysis <br> Departure_Event = Variable signifying on which day the departure event occured for weather analysis <br> Wind_Profit = signed magnitude of wind speed relative to movement direction (m/s) for the hour of departure <br> Pressure_Trend = slope of relationship between atmospheric pressure and time over the 24 hours previous to departure <br> Total_Precipitation = Total precipitation (mm) over the three hours leading up to departure <br> Total_Cloud_Cover = Total cloud cover (0-1) in the hour of departure <br> Departure_Day_of_Year = Departure date converted to day of year (1-365 for non-leap years) <br> Throughout dataset NA = missing and U = Unknown