Published May 10, 2019 | Version 1.0.0
Dataset Open

SQLite database to accompany the paper, "Statistical learning mitigation of false positives from template-detected data in automated acoustic wildlife monitoring"

  • 1. University of Vermont
  • 2. U.S. Geological Survey, University of Vermont

Description

This dataset is a SQLite database that accompanies methods and analysis described in the paper, "Statistical learning mitigation of false positives from template-detected data in automated acoustic wildlife monitoring" (Balantic & Donovan 2019, Bioacoustics, https://www.tandfonline.com/doi/full/10.1080/09524622.2019.1605309). 

A Github repository containing code for using the SQLite database also accompanies this paper at: http://github.com/cbalantic/false-positive-mitigation

Notes

A Github repository containing code for using the SQLite database also accompanies this paper at: http://github.com/cbalantic/false-positive-mitigation

Files

Files (395.4 MB)

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md5:ed1784b19dc025cf5d3da55203eff940
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Additional details

Related works

Is supplement to
10.1080/09524622.2019.1605309 (DOI)

References

  • Balantic, C. M., & Donovan, T. M. (2019). Statistical learning mitigation of false positives from template-detected data in automated acoustic wildlife monitoring. Bioacoustics, 1-26. DOI: 10.1080/09524622.2019.1605309