A bird species occurrence dataset from passive audio recordings across dense urban areas in Gothenburg, Sweden
Journal article, 2025
Bird species occurrence datasets are a valuable resource for understanding the effects of urbanization on various biotic conditions (e.g., species occupancy and richness). Existing datasets offer promising opportunities to explore variations among cities and along the urban-rural gradient. However, there is a lack of observation data to systematically capture intra-urban variations at a fine spatial scale, especially in dense urban areas. Here, we describe the production and validation of a machine learning-generated bird occurrence dataset based on 10,691 hours of passive audio recordings systematically collected across different types of dense urban forms in Gothenburg, Sweden. The dataset is available in a standard Darwin Core Archive (DwC-A) format, to ensure data interoperability, and includes 239,597 occurrence records of 61 species from April 21 to June 16, 2024, across 30 sites in Gothenburg. We anticipate that this dataset will be a valuable resource for researchers in urban ecology, planning, and design to better understand the relationship between the characteristics of different types of dense urban forms and various biotic conditions in cities.
Author
Ahmed Hazem Eldesoky
Chalmers, Architecture and Civil Engineering, Urban Design and Planning
Jorge Gil
Chalmers, Architecture and Civil Engineering, Urban Design and Planning
Oskar Kindvall
Calluna AB
Chalmers, Architecture and Civil Engineering, Urban Design and Planning
Ioanna Stavroulaki
Chalmers, Architecture and Civil Engineering, Urban Design and Planning
Leif Jonasson
Independent researcher
David Bennett
University of Kiel
Wenqing Yang
Student at Chalmers
Fransisco Diaz
Chalmers, Architecture and Civil Engineering, Building Technology
Rachel Lichter
City of Gothenburg
Frixos Petrou
University of Cyprus
Meta Berghauser Pont
Chalmers, Architecture and Civil Engineering, Urban Design and Planning
Scientific data
2052-4463 (eISSN)
Vol. 12 1 1180Twin2Expand. Twinning towards Research Excellence in Evidence-Based Planning and Urban Design
European Commission (EC) (101078890), 2023-01-01 -- 2026-01-01.
Subject Categories (SSIF 2025)
Environmental Sciences
Ecology
DOI
10.1038/s41597-025-05481-z
Related datasets
A bird species occurrence dataset from passive audio recordings across dense urban areas in Gothenburg [dataset]
DOI: 10.5281/zenodo.14629007