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egrace479 commited on
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19fbc08
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1 Parent(s): 8dde8af

Add links for grants and orgs, url and proper date to citation

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Adds description field for cleaner rendering in the catalog, some more keywords

Also, removed Imageomics Institute affiliation, since it applies to most of us, but was only on two.

@jennamk14

Files changed (1) hide show
  1. README.md +16 -7
README.md CHANGED
@@ -14,9 +14,12 @@ tags:
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  - wildlife
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  - Kenya
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  - Mpala
 
 
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  pretty_name: KABR Full Videos
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  size_categories:
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  - 10M<n<100M
 
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  ---
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  # Dataset Card for KABR Raw Videos: Unprocessed Drone Footage for Kenyan Animal Behavior Analysis
@@ -99,6 +102,7 @@ KABR_Raw_Videos/
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  ├── DJI_0212_trimmed.mp4
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  └── readme.txt
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  ```
 
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  ### File Types:
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  - .MP4 files: Raw drone video footage
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  - _trimmed.mp4 files: Videos that have been cropped to remove segments containing people
@@ -219,8 +223,8 @@ Researchers using both datasets can:
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  * Alec Sheets (The Ohio State University) - ORCID: 0000-0002-3737-1484
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  * Reshma Ramesh Babu (The Ohio State University) - ORCID: 0000-0002-2517-5347
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  * Namrata Banerji (The Ohio State University) - ORCID: 0000-0001-6813-0010
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- * Elizabeth Campolongo (Imageomics Institute, The Ohio State University) - ORCID: 0000-0003-0846-2413
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- * Matthew Thompson (Imageomics Institute, The Ohio State University) - ORCID: 0000-0003-0583-8585
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  * Nina Van Tiel (École polytechnique fédérale de Lausanne) - ORCID: 0000-0001-6393-5629
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  * Jackson Miliko (Mpala Research Centre)
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  * Neil Rosser (Princeton University)
@@ -231,6 +235,7 @@ Researchers using both datasets can:
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  ## Licensing Information
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  This dataset is dedicated to the public domain for the benefit of scientific pursuits. We ask that you cite the dataset and related journal paper if you make use of it in your research.
 
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  ### Citation Information
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  Dataset
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  ```
@@ -240,9 +245,10 @@ and Babu, Reshma and Banerji, Namrata and Campolongo, Elizabeth and Thompson, Ma
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  and Van Tiel, Nina and Miliko, Jackson and Rosser, Neil and Duporge, Isla and Berger-Wolf, Tanya
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  and Rubenstein, Daniel and Stewart, Charles},
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  title = {KABR Raw Videos: Unprocessed Drone Footage for Kenyan Animal Behavior Analysis},
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- year = {2023},
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- url = {[URL to be added]},
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- publisher = {Hugging Face}
 
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  }
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  ```
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  Related Papers
@@ -257,5 +263,8 @@ Related Papers
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  ```
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  ## Contributions
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- This work was 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). Additional support was also provided 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. 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.
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- The data was gathered at the Mpala Research Centre in Kenya, in accordance with Research License No. NACOSTI/P/22/18214. The data collection protocol adhered strictly to the guidelines set forth by the Institutional Animal Care and Use Committee under permission No. IACUC 1835F.
 
 
 
 
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  - wildlife
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  - Kenya
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  - Mpala
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+ - imageomics
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+ - animals
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  pretty_name: KABR Full Videos
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  size_categories:
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  - 10M<n<100M
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+ description: "This dataset contains the raw, unprocessed drone video footage collected during the creation of the KABR (Kenyan Animal Behavior Recognition) dataset. Unlike the processed KABR mini-scene dataset which contains extracted video clips with behavioral annotations, this collection provides the original full-frame drone videos captured at the Mpala Research Centre in Kenya. The dataset includes raw MP4 video files featuring giraffes, plains zebras, and Grevy's zebras in their natural habitat. Some videos have been trimmed to remove segments containing people, ensuring privacy and focusing the content on wildlife footage."
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  ---
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  # Dataset Card for KABR Raw Videos: Unprocessed Drone Footage for Kenyan Animal Behavior Analysis
 
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  ├── DJI_0212_trimmed.mp4
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  └── readme.txt
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  ```
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+
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  ### File Types:
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  - .MP4 files: Raw drone video footage
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  - _trimmed.mp4 files: Videos that have been cropped to remove segments containing people
 
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  * Alec Sheets (The Ohio State University) - ORCID: 0000-0002-3737-1484
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  * Reshma Ramesh Babu (The Ohio State University) - ORCID: 0000-0002-2517-5347
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  * Namrata Banerji (The Ohio State University) - ORCID: 0000-0001-6813-0010
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+ * Elizabeth Campolongo (The Ohio State University) - ORCID: 0000-0003-0846-2413
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+ * Matthew Thompson (The Ohio State University) - ORCID: 0000-0003-0583-8585
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  * Nina Van Tiel (École polytechnique fédérale de Lausanne) - ORCID: 0000-0001-6393-5629
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  * Jackson Miliko (Mpala Research Centre)
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  * Neil Rosser (Princeton University)
 
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  ## Licensing Information
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  This dataset is dedicated to the public domain for the benefit of scientific pursuits. We ask that you cite the dataset and related journal paper if you make use of it in your research.
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+
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  ### Citation Information
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  Dataset
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  ```
 
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  and Van Tiel, Nina and Miliko, Jackson and Rosser, Neil and Duporge, Isla and Berger-Wolf, Tanya
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  and Rubenstein, Daniel and Stewart, Charles},
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  title = {KABR Raw Videos: Unprocessed Drone Footage for Kenyan Animal Behavior Analysis},
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+ year = {2025},
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+ url = {https://huggingface.co/datasets/imageomics/KABR-raw-videos},
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+ publisher = {Hugging Face},
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+ doi = {}
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  }
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  ```
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  Related Papers
 
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  ```
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  ## Contributions
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+ 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). Additional support was also provided by the [AI Institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment (ICICLE)](https://icicle.osu.edu/), which is funded by the US National Science Foundation under [Award #2112606](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2112606).
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+
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+ 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.
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+
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+ The data was gathered at the [Mpala Research Centre](https://mpala.org/) in Kenya, in accordance with Research License No. NACOSTI/P/22/18214. The data collection protocol adhered strictly to the guidelines set forth by the Institutional Animal Care and Use Committee under permission No. IACUC 1835F.