4 datasets found
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Federal
Training dataset for NABat Machine Learning V1.0
Department of the Interior —
Bats play crucial ecological roles and provide valuable ecosystem services, yet many populations face serious threats from various ecological disturbances. The North... -
Federal
Two-stage models improve machine learning classifiers in wildlife research: A case study in identifying false positive detections of Ruffed Grouse
Department of the Interior —
Autonomous recording units are increasingly being used to monitor wildlife on large geographic and temporal scales, paired with machine learning (ML) to automate... -
Federal
Asian Carp Acoustic Stimuli Data
Department of the Interior —
Invasive silver carp (Hypophthalmichthys molitrix) occur in large regions of the Mississippi River drainage, outcompete native species, and are notorious for their... -
Federal
Estimating detection and occupancy of secretive marsh bird species in low and high saline marshes in southwestern Louisiana using automated recording units
Department of the Interior —
This dataset compiles all data used in a study on occupancy of secretive marsh birds collected from automated audio recording units in southwest Louisiana. The main...
4 datasets found