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Training dataset for NABat Machine Learning V1.0

December 21, 2022

Bats play crucial ecological roles and provide valuable ecosystem services, yet many populations face serious threats from various ecological disturbances. The North American Bat Monitoring Program (NABat) aims to assess status and trends of bat populations while developing innovative and community-driven conservation solutions using its unique data and technology infrastructure. To support scalability and transparency in the NABat acoustic data pipeline, we developed a fully-automated machine-learning algorithm. This dataset includes audio files of bat echolocation calls that were considered to develop V1.0 of the NABat machine-learning algorithm, however the test set (i.e., holdout dataset) has been excluded from this release. These [...]

Publication Year 2022
Title Training dataset for NABat Machine Learning V1.0
DOI 10.5066/P969TX8F
Authors Benjamin Gotthold, Ali Khalighifar, Bethany R Straw, Brian E Reichert
Product Type Data Release
Record Source USGS Digital Object Identifier Catalog
USGS Organization Fort Collins Science Center