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
Files
Files
(395.4 MB)
Name | Size | Download all |
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md5:ed1784b19dc025cf5d3da55203eff940
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395.4 MB | Download |
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