jennamk14 commited on
Commit
b971bda
·
verified ·
1 Parent(s): ea14dc6

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +29 -5
README.md CHANGED
@@ -30,10 +30,9 @@ Manual drone flights captured video footage of specific sites at The Wilds to su
30
  ### Dataset Description
31
 
32
  - **Curated by:** Tanishka Wani, Vedant Patil, Rugved Katole, Bharath Pillai, Anirudh Potlapally, Ally Bonney, and Jenna Kline
33
- - **Language(s):** N/A
34
  - **Homepage:** [https://imageomics.org](https://imageomics.org)
35
  - **Repository:** [https://github.com/Imageomics/naturelab](https://github.com/Imageomics/naturelab)
36
- - **Paper:** TBD
37
 
38
  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.
39
 
@@ -238,12 +237,37 @@ This dataset is dedicated to the public domain under a [CC0 license](https://cre
238
  publisher = {Hugging Face}
239
  }
240
  ```
 
 
 
 
 
 
 
 
 
241
 
242
  ## Acknowledgements
243
 
244
- This work was supported by the [Imageomics Institute](https://imageomics.org), which is funded by the US National Science Foundation's Harnessing the Data Revolution (HDR) program under [Award #2118240](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2118240) (Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning). 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.
245
-
246
- Special thanks to [The Wilds safari park](https://www.thewilds.org/) in Ohio for providing airspace access and supporting this aerial wildlife monitoring research.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
247
 
248
  ## Glossary
249
 
 
30
  ### Dataset Description
31
 
32
  - **Curated by:** Tanishka Wani, Vedant Patil, Rugved Katole, Bharath Pillai, Anirudh Potlapally, Ally Bonney, and Jenna Kline
 
33
  - **Homepage:** [https://imageomics.org](https://imageomics.org)
34
  - **Repository:** [https://github.com/Imageomics/naturelab](https://github.com/Imageomics/naturelab)
35
+ - **Paper:** [SmartWilds: Multimodal Wildlife Monitoring Dataset](https://arxiv.org/abs/2509.18894)
36
 
37
  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.
38
 
 
237
  publisher = {Hugging Face}
238
  }
239
  ```
240
+ **Paper**
241
+ ```bibtex
242
+ @article{kline2025smartwilds,
243
+ title={SmartWilds: Multimodal Wildlife Monitoring Dataset},
244
+ 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},
245
+ journal={arXiv preprint arXiv:2509.18894},
246
+ year={2025}
247
+ }
248
+ ```
249
 
250
  ## Acknowledgements
251
 
252
+ This project is supported by U.S. National Science Foundation under
253
+ [Award # 2112606](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2112606), Intelligent
254
+ Cyberinfrastructure with Computational Learning in the Environment (ICICLE), and by the [Imageomics Institute](https://imageomics.org),
255
+ which is funded by the US National Science Foundation's Harnessing the Data Revolution (HDR) program under
256
+ [Award #2118240](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2118240)
257
+ (Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning).
258
+
259
+ This work is also supported by the AI and Biodiversity Change (ABC) Global Center.
260
+ 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)
261
+ 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).
262
+
263
+ Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s)
264
+ and do not necessarily reflect the views of the National Science Foundation or the Natural Sciences and
265
+ Engineering Research Council of Canada.
266
+
267
+ Special thanks to Dan Beetem and [The Wilds](https://www.thewilds.org/) in Ohio for providing access to deployment sites
268
+ and supporting this wildlife monitoring research. We thank the Columbus Zoo Aquarium for their support in facilitating
269
+ this project. All data collection, including drone flights, was conducted under the supervision of the
270
+ Director of Animal Management, with permission from The Wilds Animal Care and Use Committee.
271
 
272
  ## Glossary
273