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A dataset of acoustic measurements from soundscapes collected worldwide during the COVID-19 pandemic.
Challéat, Samuel; Farrugia, Nicolas; Froidevaux, Jérémy S P; Gasc, Amandine; Pajusco, Nicolas.
Affiliation
  • Challéat S; UMR5602 GEODE (Géographie de l'environnement), CNRS, Université Toulouse 2 - Jean Jaurès, 31058, Toulouse, France. samuel.challeat@cnrs.fr.
  • Farrugia N; UMR6285 Lab-STICC (Laboratoire des Sciences et Techniques de l'information de la Communication et de la Connaissance), IMT Atlantique, CNRS, 29238, Brest, France. nicolas.farrugia@imt-atlantique.fr.
  • Froidevaux JSP; University of Stirling, Biological and Environmental Sciences, Faculty of Natural Sciences, FK9 4LA, Stirling, United Kingdom.
  • Gasc A; UMR7204 CESCO (Centre d'Écologie et des Sciences de la Conservation), Muséum national d'Histoire naturelle, CNRS, Sorbonne Université, 75005, Paris, France.
  • Pajusco N; University of Bristol, School of Biological Sciences, Life Sciences Building, Bristol, BS8 1TQ, United Kingdom.
Sci Data ; 11(1): 928, 2024 Aug 27.
Article in En | MEDLINE | ID: mdl-39191783
ABSTRACT
Political responses to the COVID-19 pandemic led to changes in city soundscapes around the globe. From March to October 2020, a consortium of 261 contributors from 35 countries brought together by the Silent Cities project built a unique soundscape recordings collection to report on local acoustic changes in urban areas. We present this collection here, along with metadata including observational descriptions of the local areas from the contributors, open-source environmental data, open-source confinement levels and calculation of acoustic descriptors. We performed a technical validation of the dataset using statistical models run on a subset of manually annotated soundscapes. Results confirmed the large-scale usability of ecoacoustic indices and automatic sound event recognition in the Silent Cities soundscape collection. We expect this dataset to be useful for research in the multidisciplinary field of environmental sciences.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Acoustics / Pandemics / COVID-19 Limits: Humans Language: En Journal: Sci Data / Scientific data Year: 2024 Document type: Article Affiliation country: France Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Acoustics / Pandemics / COVID-19 Limits: Humans Language: En Journal: Sci Data / Scientific data Year: 2024 Document type: Article Affiliation country: France Country of publication: United kingdom