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README.md
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### Dataset Description
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- **Curated by:** Tanishka Wani, Vedant Patil, Rugved Katole, Bharath Pillai, Anirudh Potlapally, Ally Bonney, and Jenna Kline
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- **Language(s):** N/A
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- **Homepage:** [https://imageomics.org](https://imageomics.org)
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- **Repository:** [https://github.com/Imageomics/naturelab](https://github.com/Imageomics/naturelab)
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- **Paper:**
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This dataset was created to support multimodal wildlife monitoring research using unmanned aerial vehicle (UAV) technology. Drone missions were conducted using Parrot ANAFI drones to capture aerial video footage across The Wilds safari park. The dataset provides aerial perspectives for species detection, habitat assessment, and behavioral analysis that complement ground-based camera trap and bioacoustic monitoring efforts.
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publisher = {Hugging Face}
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```
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## Acknowledgements
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This
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## Glossary
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### Dataset Description
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- **Curated by:** Tanishka Wani, Vedant Patil, Rugved Katole, Bharath Pillai, Anirudh Potlapally, Ally Bonney, and Jenna Kline
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- **Homepage:** [https://imageomics.org](https://imageomics.org)
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- **Repository:** [https://github.com/Imageomics/naturelab](https://github.com/Imageomics/naturelab)
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- **Paper:** [SmartWilds: Multimodal Wildlife Monitoring Dataset](https://arxiv.org/abs/2509.18894)
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This dataset was created to support multimodal wildlife monitoring research using unmanned aerial vehicle (UAV) technology. Drone missions were conducted using Parrot ANAFI drones to capture aerial video footage across The Wilds safari park. The dataset provides aerial perspectives for species detection, habitat assessment, and behavioral analysis that complement ground-based camera trap and bioacoustic monitoring efforts.
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publisher = {Hugging Face}
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}
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```
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**Paper**
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```bibtex
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@article{kline2025smartwilds,
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title={SmartWilds: Multimodal Wildlife Monitoring Dataset},
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author={Kline, Jenna and Potlapally, Anirudh and Pillai, Bharath and Wani, Tanishka and Katole, Rugved and Patil, Vedant and Covey, Penelope and Steven, Samuel and Subramoni, Hari and Berger-Wolf, Tanya and Stewart, Christopher},
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journal={arXiv preprint arXiv:2509.18894},
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year={2025}
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}
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```
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## Acknowledgements
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This project is supported by U.S. National Science Foundation under
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[Award # 2112606](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2112606), Intelligent
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Cyberinfrastructure with Computational Learning in the Environment (ICICLE), and by the [Imageomics Institute](https://imageomics.org),
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which is funded by the US National Science Foundation's Harnessing the Data Revolution (HDR) program under
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[Award #2118240](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2118240)
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(Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning).
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This work is also supported by the AI and Biodiversity Change (ABC) Global Center.
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The ABC Global Center is funded by the US National Science Foundation under [Award No. 2330423](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2330423&HistoricalAwards=false)
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and the Natural Sciences and Engineering Research Council of Canada under [Award No. 585136](https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=782440).
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Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s)
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and do not necessarily reflect the views of the National Science Foundation or the Natural Sciences and
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Engineering Research Council of Canada.
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Special thanks to Dan Beetem and [The Wilds](https://www.thewilds.org/) in Ohio for providing access to deployment sites
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and supporting this wildlife monitoring research. We thank the Columbus Zoo Aquarium for their support in facilitating
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this project. All data collection, including drone flights, was conducted under the supervision of the
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Director of Animal Management, with permission from The Wilds Animal Care and Use Committee.
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## Glossary
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