Acknowledgements

This project is supported by the Imageomics Institute, which is funded by the US National Science Foundation's Harnessing the Data Revolution (HDR) program under Award #2118240 (Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning), and by the AI Institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment (ICICLE), which is funded by the US National Science Foundation under Award #2112606.

This work is also supported by the AI and Biodiversity Change (ABC) Global Center. The ABC Global Center is funded by the US National Science Foundation under Award No. 2330423 and the Natural Sciences and Engineering Research Council of Canada under Award No. 585136. This dataset draws on research supported by the Social Sciences and Humanities Research Council.

Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation, Natural Sciences and Engineering Research Council of Canada, or Social Sciences and Humanities Research Council.

Special thanks to Dan Beetem and The Wilds in Ohio for providing access to deployment sites and supporting this wildlife monitoring research. We thank the Columbus Zoo and Aquarium for their support in facilitating this project. All data collection, including drone flights, was conducted under the supervision of the Director of Animal Management, with permission from The Wilds Animal Care and Use Committee.

This work used the Ohio Supercomputer Center (Ohio Supercomputer Center. 1987. Ohio Supercomputer Center. Columbus OH: Ohio Supercomputer Center. https://ror.org/01apna436). The canonical wording of these statements is kept in guidelines/ACKNOWLEDGEMENTS.md.

Contact

Jenna M. Kline (kline.377@osu.edu). Use the repository's Issues for non-private questions.