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ArcticBirdSounds: An open-access, multiyear, and detailed annotated dataset of bird songs and calls

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

DOI

  • Sylvain Christin, Université de Moncton
    • ,
  • Christine Chicoine, Université de Moncton
    • ,
  • Tommy O'Neill Sanger, Université de Moncton, McGill University
    • ,
  • Mélanie F. Guigueno, McGill University
    • ,
  • Jannik Hansen
    • ,
  • Richard B. Lanctot, U.S. Fish and Wildlife Service, Alaska
    • ,
  • Douglas MacNearney, National Wildlife Research Centre, Environment Canada, Ottawa, Ontario, Canada.
    • ,
  • Jennie Rausch, Canadian Wildlife Service
    • ,
  • Sarah T. Saalfeld, U.S. Fish and Wildlife Service, Alaska
    • ,
  • Niels M. Schmidt
  • Paul A. Smith, National Wildlife Research Centre, Environment Canada, Ottawa, Ontario, Canada.
    • ,
  • Paul F. Woodard, Canadian Wildlife Service
    • ,
  • Éric Hervet, Université de Moncton
    • ,
  • Nicolas Lecomte, Université de Moncton
Abstract Tracking biodiversity shifts is central to understanding past, present, and future global changes. Recent advances in bioacoustics and the low cost of high-quality automatic recorders are revolutionizing studies in biogeography and community and behavioral ecology with a robust assessment of phenology, species occurrence, and individual activity. This large volume of acoustic recordings has recently generated a plethora of data sets that can now be handled automatically, mostly via big data methods such as deep learning. These approaches need high-quality annotations to classify and detect recorded sounds efficiently. However, very few strongly annotated data sets - i.e. with detailed information on start and end time of each vocalization - are openly accessible to the public. Moreover, these data sets mostly cover temperate species and are usually limited to a single year of recordings. Here, we present ArcticBirdSounds, the first open-access, multisite, and multiyear strongly annotated data set of arctic bird vocalizations. ArcticBirdSounds offers 20?hours of annotated recordings over two years (2018, 2019), taken from 15 distinct plots within 6 locations across the Arctic, from Alaska to Greenland. Recordings cover the arctic vertebrates' breeding period and are evenly spaced during the day; they capture most species breeding there with 12,933 temporal annotations in 49 classes of sounds. While these data can be used for many pressing ecological questions, it is also a unique resource for methodological development to help meet the challenges of fast ecosystem transformations such as those happening in the Arctic. All data including audio files, annotation files, and companion spreadsheets are available in an Open Science Framework repository published under a CC BY 4.0 License.
OriginalsprogEngelsk
Artikelnummere4047
TidsskriftEcology
Vol/bind104
Nummer6
ISSN0012-9658
DOI
StatusUdgivet - jun. 2023

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© 2023 The Authors. Ecology published by Wiley Periodicals LLC on behalf of The Ecological Society of America.

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