These data set contains data from 11 surveys of radio-collared using remotely piloted aircraft systems (RPAS), thermal 
imaging and automated detection.The MODELDEV .csv contains data points used to develop the modified 
Horvitz Thompson estimator models in the paper "New technologies in the mix: Assessing N-mixture models
 for abundance estimation using automated detection data from drone surveys" which is accepted into 
publication in the journal Ecology and Evolution as of 11/06/2020. The TESTING .csv contains data
 used for model testing in in the same publication. 

Datasets includes the following variables:

detect_id -> Individual identifier for each detection
date -> Survey date
false_detect -> A binary variable where 0 = a true positive detection, 1 = a false
	positive detection
detected -> A binary variable where 0 = a radio-collared koala that was present but not detected, 
	1 = an object that was detected in the survey
duplicate -> A binary variable where 0 = a unique detection, 1 = a duplicate detection
dist_edge_m -> Distance of detection from habitat edge in metres
temp-> Ambient temperature at the time of surveying in degrees celsius
wind-> Wind speed in km/hour at the time of surverying
time_since_sec -> Time elapsed since previous detection in seconds
dist_nearest -> Distance to nearest detection in metres