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Published January 24, 2025 | Version 1.0.0
Dataset Open

A bird species occurrence dataset from passive audio recordings across dense urban areas in Gothenburg, Sweden

Authors/Creators

  • 1. ROR icon Chalmers University of Technology
  • 2. Calluna AB
  • 3. Independent Ornithologist, Gothenburg, Sweden
  • 4. Christian-Albrechts-Universität zu Kiel, Germany
  • 5. Stadsmiljöförvaltningen, Göteborgs Stad, Sweden
  • 6. ROR icon University of Cyprus

Description

A machine learning-generated and expert-validated bird occurrence dataset, based on 10,691 hours of passive audio recordings systematically collected across different types of dense and compact urban areas in Gothenburg, Sweden. The dataset includes 233,976 occurrence records of 61 species from April 21 to June 16, 2024, across 30 sites in central Gothenburg.

Files

dwca-gothenburg-v1.0.zip

Files (8.2 MB)

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Additional details

Related works

Is documented by
Other: https://smog-chalmers.github.io/BirdMonitoringGothenburg/ (URL)

Funding

European Commission
TWIN2EXPAND - Twinning towards Research Excellence in Evidence-Based Planning and Urban Design 101078890