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: <br> <strong>"Phenology and predictors of spring emergence for the Timber Rattlesnake (</strong><em><strong>Crotalus horridus</strong></em><strong>)."</strong> <br> <strong>There are three main compenents of the data files:</strong> <strong>Main datafile entitled "Daily_Presence_Data.csv": </strong>Our "main" .csv file containing the daily surface presence / absence of <em>Crotalus horridus </em>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 <em>C. horridus.</em> <br> <strong>NOAA Weather station datafiles (files prefixed with "IWS_" for "Illinois Weather Stations"): </strong>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 <em>maximum daily temperature</em> and <em>accumulated degree days</em> (Base 5°C), which we used in to calculate daily predictions of the probability of surface presence for <em>C. horridus</em> within each latitude in Illinois. See manuscript for further details. <br> <strong>Weather Station datafiles for other studies (files prefixed with "SWS_" for "Study Weather Stations"): </strong>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 <em>maximum daily temperature</em> and <em>accumulated degree days</em> (Base 5 °C), which we used in to calculate daily predictions of the probability of surface presence for <em>C. horridus</em> within each latitude using our top model. See manuscript for further details.

本数据集包含用于题为《森林响尾蛇（Timber Rattlesnake，*Crotalus horridus*）春季出蛰的物候特征与预测因子》的投稿手稿中所有分析流程、表格与图表制作的开放获取数据文件。

本数据集包含三大核心组成部分：
1. 主数据文件“Daily_Presence_Data.csv”：
本“核心”逗号分隔值（Comma-Separated Values, CSV）文件收录了2018—2021年晚冬至春季期间，伊利诺伊州泽西县（样本量n=3）与乔戴维斯县（样本量n=3）共6处庇护所内森林响尾蛇（*Crotalus horridus*）的每日地表出现/未出现记录，同时纳入了取自研究点位附近气象站的配套气象数据。本数据集被用于构建混合效应二元逻辑回归模型，以预测森林响尾蛇的每日地表活动概率。

2. 美国国家海洋和大气管理局（National Oceanic and Atmospheric Administration, NOAA）气象站数据文件（文件名前缀为“IWS_”，即“Illinois Weather Stations，伊利诺伊州气象站”）：
每个CSV文件均包含取自伊利诺伊州指定纬度范围内的NOAA气象站的逐日气象数据。各数据文件的“Station”列标注了对应气象站的唯一标识编号。本研究利用各气象站数据计算了日最高气温与累积度日数（基准温度5℃），并以此为基础预测伊利诺伊州各纬度区域内森林响尾蛇的地表出现概率日变化情况。详细研究细节请参见投稿手稿。

3. 其他研究配套气象站数据文件（文件名前缀为“SWS_”，即“Study Weather Stations，研究用气象站”）：
每个CSV文件均包含取自对应研究点位最近气象站的15年逐日气象数据平均值（气候标准值）。各文件名标注了对应研究的引用信息与点位位置。本研究利用各研究报告的平均出蛰日期，检验最优模型的预测效能；同时通过各气象站数据计算日最高气温与累积度日数（基准温度5℃），并以此为基础利用最优模型预测伊利诺伊州各纬度区域内森林响尾蛇的地表出现概率日变化情况。详细研究细节请参见投稿手稿。