Bio-logger Ethogram Benchmark: A benchmark for computational analysis of animal behavior, using animal-borne tags

  1. Hoffman, Benjamin 1
  2. Cusimano, Maddie 1
  3. Baglione, Vittorio 2
  4. Canestrari, Daniela 2
  5. Chevallier, Damien 3
  6. DeSantis, Dominic L. 4
  7. Jeantet, Lorène 5
  8. Ladds, Monique A. 6
  9. Maekawa, Takuya 7
  10. Mata-Silva, Vicente 8
  11. Moreno-Gonzalez, Víctor 2
  12. Trapote, Eva 2
  13. Vainio, Outi 9
  14. Vehkaoja, Antti 10
  15. Yoda, Ken 11
  16. Zacarian, Katherine 1
  17. Friedlaender, Ari 12
  18. Rutz, Christian 13
  1. 1 Earth Species Project
  2. 2 Universidad de León
    info

    Universidad de León

    León, España

    ROR https://ror.org/02tzt0b78

  3. 3 Centre national de la recherche scientifique Borea
  4. 4 Georgia College & State University
    info

    Georgia College & State University

    Milledgeville, Estados Unidos

    ROR https://ror.org/05kr7zx86

  5. 5 African Institute for Mathematical Sciences, Stellenbosch University
  6. 6 Department of Conservation, New Zealand
  7. 7 Osaka University
    info

    Osaka University

    Osaka, Japón

    ROR https://ror.org/035t8zc32

  8. 8 University of Texas, El Paso
  9. 9 University of Helsinki
    info

    University of Helsinki

    Helsinki, Finlandia

    ROR https://ror.org/040af2s02

  10. 10 Tampere University
  11. 11 Nagoya University
    info

    Nagoya University

    Nagoya, Japón

    ROR https://ror.org/04chrp450

  12. 12 University of California, Santa Cruz
    info

    University of California, Santa Cruz

    Santa Cruz, Estados Unidos

    ROR https://ror.org/03s65by71

  13. 13 University of St. Andrews
Erakutsi afiliazioak +

Argitaratzaile: Zenodo

Argitalpen urtea: 2023

Mota: Dataset

CC BY 4.0

DOI: 10.5281/ZENODO.7807281 lock_openSarbide irekia editor

Laburpena

This repository contains the datasets presented in our forthcoming work: B. Hoffman, M. Cusimano, V. Baglione, D. Canestrari, D. Chevallier, D. DeSantis, L. Jeantet, M. Ladds, T. Maekawa, V. Mata-Silva, V. Moreno-González, A. Pagano, E. Trapote, O. Vainio, A. Vehkaoja, K. Yoda, K. Zacarian, A. Friedlaender, and C. Rutz, "A benchmark for computational analysis of animal behavior, using animal-borne tags," 2023. It also contains the experiment results which are reported in the paper. Standardized code to implement, train, and evaluate models can be found at https://github.com/earthspecies/BEBE/. Please note the licenses in each dataset folder. <strong>Zip folders beginning with "formatted":</strong> These are the datasets we used to run the experiments reported in the benchmark paper. <strong>Zip folders beginning with "raw": </strong>These are the unprocessed datasets used in BEBE. Code to processing a these raw datasets into the format used by BEBE can be found at https://github.com/earthspecies/BEBE-datasets/. <strong>Zip folders beginning with "experiments": </strong>Results of the cross-validation experiments reported in the paper, as well as hyperparameter optimization and cross-validation runs. Confusion matrices for all experiments can also be found here.