Remove duplicate listing of paper, add ABC link

20250703_parrotanafi_3/metadata/mission_notes_3.txt

@@ -0,0 +1,4 @@
+Drone: Parrot Anafi
+Date/Time: 2025-07-03T165620-0400
+Lead pilot: Vedant Patil
+Co-pilot: Jenna Kline, Rugved Katole

20250703_parrotanafi_3/video_files/VID_001.MP4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a7166f670c100b8de1391cde98d30293e073f1de782c79222e648c592a327ff4
+size 270997992

20250703_parrotanafi_3/video_files/VID_002.MP4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:845198b4df82100b26d5520e45650468bf68443fd285ffc798983c479c3ace3b
+size 3802449394

README.md

@@ -31,7 +31,7 @@ Manual drone flights captured video footage of specific sites at The Wilds to su
 ### Dataset Description
 
 - **Curated by:** Tanishka Wani, Vedant Patil, Rugved Katole, Bharath Pillai, Anirudh Potlapally, Ally Bonney, and Jenna Kline
-- **Repository:** [https://github.com/Imageomics/naturelab](https://github.com/Imageomics/naturelab)  
+- **Repository:** [Imageomics/naturelab](https://github.com/Imageomics/naturelab)  
 - **Paper:** [SmartWilds: Multimodal Wildlife Monitoring Dataset](https://arxiv.org/abs/2509.18894)
 
 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.
@@ -59,7 +59,6 @@ The dataset is organized by mission date and flight number:
             File.jpg
             mission_notes.txt
         video_files/
-            VID_001.MP4
             VID_002.MP4
             VID_003.MP4
             VID_004.MP4
@@ -77,7 +76,6 @@ The dataset is organized by mission date and flight number:
             0914_2025-07-03T162104-0400_BF7B18_001D.json
             mission_notes_2.txt
         video_files/
-            VID_001.MP4
             VID_002.MP4
             VID_003.MP4
     20250703_parrotanafi_3/
@@ -115,15 +113,15 @@ Each drone mission folder contains:
 - **Metadata folder:** Contains telemetry data, flight path images, and mission notes
 
 **Mission Summary:**
-- **July 1, 2025:** 1 mission (4 video files)
-- **July 3, 2025:** 5 missions (16 video files)
+- **July 1, 2025:** 1 mission (3 video files)
+- **July 3, 2025:** 5 missions (15 video files)
 - **Total missions:** 6 drone flights
 - **Total video files:** 20 .MP4 recordings
 
 **File Counts by Mission:**
-- **20250701_parrotanafi_1:** 4 video files + 3 metadata files
+- **20250701_parrotanafi_1:** 3 video files + 3 metadata files
 - **20250703_parrotanafi_1:** 3 video files + 3 metadata files (includes 2 telemetry JSON files)
-- **20250703_parrotanafi_2:** 3 video files + 2 metadata files
+- **20250703_parrotanafi_2:** 2 video files + 2 metadata files
 - **20250703_parrotanafi_3:** 2 video files + 2 metadata files
 - **20250703_parrotanafi_4:** 3 video files + 2 metadata files
 - **20250703_parrotanafi_5:** 5 video files + 3 metadata files (includes PNG flight path image)
@@ -247,15 +245,6 @@ This dataset is dedicated to the public domain under a [CC0 license](https://cre
 }
 ```
 
-**Paper**
-```bibtex
-@article{kline2025smartwilds,
-  title={SmartWilds: Multimodal Wildlife Monitoring Dataset},
-  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},
-  journal={arXiv preprint arXiv:2509.18894},
-  year={2025}
-}
-```
 
 ## Acknowledgements
 
@@ -264,7 +253,7 @@ which is funded by the US National Science Foundation's Harnessing the Data Revo
 [Award #2118240](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2118240) 
 (Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning). 
 
-This work is also supported by the AI and Biodiversity Change (ABC) Global Center. 
+This work is also supported by the [AI and Biodiversity Change (ABC) Global Center](https://abcresearchcenter.org/). 
 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) 
 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). 
 This dataset draws on research supported by the Social Sciences and Humanities Research Council.