Data Files for the paper entitled "Phenology and predictors of spring emergence for the Timber Rattlesnake (Crotalus horridus)"

Open-access data files used for all analytical procedures and creation of all tables and figures in the draft manuscript entitled: "Phenology and predictors of spring emergence for the Timber Rattlesnake (Crotalus horridus)." There are three main compenents of the data files: Main datafile entitled "Daily_Presence_Data.csv": Our "main" .csv file containing the daily surface presence / absence of Crotalus horridus at 6 refugia in Jersey County (n = 3) and Jo Daviess County (n = 3), Illinois, during the late winter and spring of 2018–2021. Meteoroligcal data obtained from weather station data located close to the study locations is also included. We used this data to construct Mixed Effects Binary Logistic Regression Models used to predict the daily surface of C. horridus. NOAA Weather station datafiles (files prefixed with "IWS_" for "Illinois Weather Stations"): Each .csv file contains daily meteorological data derived from National Oceanic and Atmospheric Administration (NOAA) weather stations located within a specified degree of latitude in Illinois. See the column “Station” in each datafile for the weather station ID. We used the data from each weather station to calculate the variables maximum daily temperature and accumulated degree days (Base 5°C), which we used in to calculate daily predictions of the probability of surface presence for C. horridus within each latitude in Illinois. See manuscript for further details. Weather Station datafiles for other studies (files prefixed with "SWS_" for "Study Weather Stations"): Each .csv file contains 15 year “normals” (averaged) daily meteorological data derived from the closest weather stations to the sites of the selected studies. See the file names for the citations and location of each study. We used the mean egress date reported by each study to examine the predictive power of the top model. We used the data from each weather station to calculate the variables maximum daily temperature and accumulated degree days (Base 5 °C), which we used in to calculate daily predictions of the probability of surface presence for C. horridus within each latitude using our top model. See manuscript for further details.