Data for "Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical-looking radar" (Q6877)

This repository contains the data used for the analyses conducted and described in the article "Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical-looking radar", as well as the Random Forest classifier built from such data. Files: 2021_AcousticDataset.xlsx: excel dataset containing the daily number of calls for each of the three thrush species considered recorded in Helsinki (Finland) during the study period (year 2021). The dates refer to UTC time. 2022_ AcousticDataset.xlsx: excel dataset containing the daily number of calls for each of the three thrush species considered recorded in Helsinki (Finland) during the study period (year 2022) . The dates refer to UTC time. RandomForestClassifier.Rdata: R object containing the Random Forest classifier built using the eight most important echo features. The purpose of the classifier is to categorize echoes into 'thrush' and 'non-thrush' classes. 2021_RadarDataset.rds: R object containing the radar data collected with AVLR BirdScan MR1 in Helsinki (Finland) during the study period (year 2021). 2022_RadarDataset.rds: R object containing the radar data collected with AVLR BirdScan MR1 in Helsinki (Finland) during the study period (year 2022). license.txt: the license applying to the data.