Bat species presence and activity data collected using Static Bat Detectors, Exeter, UK, July-September 2022

The data was collected using recordings from AudioMoth 1.2.0 static bat detectors working on ultrasonically-triggered firmware, described in the documentation. The files were then run through the automated classification software, BatClassify and PncatConsoleApp, to generate the classifications. From this output, species that were identified as rare or frequently misidentified were manually checked member of the team well-experienced in bat sound analysis, along with a 15% random sample from each detector. The sound files were viewed manually using the Kaleidoscope Pro software by Wildlife Acoustics. The outputs from this analysis were stored in a SQLite database, which were then collated into the CSVs provided in this dataset.
The preparation, placement and collection of the detectors was performed by Maisy Inston, with assistance from Sam Morrell. The human classifications of bat passes were performed by Maisy Inston. Curation, processing and analysis of the dataset was performed by Maisy Inston, was assistance from Charlie Rayner.