Data from: Behavioral classification of low frequency acceleration and temperature data from a free ranging small mammal

axy_data_for_ODBA_window_size8 days of raw acceleration data from 8 different squirrels from which we assessed the window size needed for removing static acceleration from dynamic to calculate ODBA.assess_odba_smoothingwindowr script for assessing the window size needed to calculate odba overrandom_forest_differing_windowsr script for testing how different window sizes influences accuracy of classification using the random forest algorithmvideoExpandAxy2ssquirrel accelerometer and behaviour data for calculating summary stats at 2 seconds for randomForest analysissquirrelAxy_2s.csvsquirrelAxy_4ssquirrel accelerometer and behaviour data for calculating summary stats at 4 seconds for randomForest analysissquirrelAxy_7ssquirrel accelerometer and behaviour data for calculating summary stats at 7 seconds for randomForest analysissquirrelAxy_10ssquirrel accelerometer and behaviour data for calculating summary stats at 10 seconds for randomForest analysissquirrelAxy_14ssquirrel accelerometer and behaviour data for calculating summary stats at 14 seconds for randomForest analysissquirrelAxy_20ssquirrel accelerometer and behaviour data for calculating summary stats at 20 seconds for randomForest analysissquirrelAxy_30ssquirrel accelerometer and behaviour data for calculating summary stats at 30 seconds for randomForest analysissquirrelAxy_decisionTreesquirrel accelerometer and behaviour data used for creating a decision tree for behavioural classificationclassificationAccuracySquirrel behaviour data and associated classification from decision tree for calculating accuracy of method.SquirrelAxyBehavscript_Jan2018R script for translating squirrel accelerometer data into behavioural statesseasonal_squirrel_daily_activityDaily activity values of each behaviour for each north american red squirrel across the different seasons of the year. These were extracted from accelerometer data.