A dataset of acoustic measurements from soundscapes collected worldwide during the COVID-19 pandemic
Authors: Challéat, S. et al.
Journal: Scientific Data
Volume: 11
Issue: 1
eISSN: 2052-4463
DOI: 10.1038/s41597-024-03611-7
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.
https://eprints.bournemouth.ac.uk/40273/
Source: Scopus
A dataset of acoustic measurements from soundscapes collected worldwide during the COVID-19 pandemic.
Authors: Challéat, S., Farrugia, N., Froidevaux, J.S.P., Gasc, A., Pajusco, N. and Silent Cities project consortium
Journal: Sci Data
Volume: 11
Issue: 1
Pages: 928
eISSN: 2052-4463
DOI: 10.1038/s41597-024-03611-7
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.
https://eprints.bournemouth.ac.uk/40273/
Source: PubMed
A dataset of acoustic measurements from soundscapes collected worldwide during the COVID-19 pandemic
Authors: Challéat, S., Farrugia, N., Froidevaux, J.S.P., Gasc, A., Pajusco, N., Silent City Consortium, Korstjens, A. and Hodder, K.
Journal: Scientific Data
Volume: 11
Issue: 928
Publisher: Nature Portfolio
ISSN: 2052-4463
DOI: 10.1038/s41597-024-03611-7
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.
https://eprints.bournemouth.ac.uk/40273/
Source: Manual
A dataset of acoustic measurements from soundscapes collected worldwide during the COVID-19 pandemic
Authors: Challéat, S., Davis, T., Korstjens, A.H. et al.
Journal: Scientific Data
Volume: 11
Issue: 1
Pages: 928
ISSN: 2052-4463
DOI: 10.1038/s41597-024-03611-7
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.
https://eprints.bournemouth.ac.uk/40273/
Source: Manual
Preferred by: Amanda Korstjens
A dataset of acoustic measurements from soundscapes collected worldwide during the COVID-19 pandemic.
Authors: Challéat, S., Farrugia, N., Froidevaux, J.S.P., Gasc, A., Pajusco, N. and Silent Cities project consortium
Journal: Scientific data
Volume: 11
Issue: 1
Pages: 928
eISSN: 2052-4463
ISSN: 2052-4463
DOI: 10.1038/s41597-024-03611-7
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.
https://eprints.bournemouth.ac.uk/40273/
Source: Europe PubMed Central
A dataset of acoustic measurements from soundscapes collected worldwide during the COVID-19 pandemic
Authors: Challéat, S., Davis, T., Korstjens, A.H. et al.
Journal: Scientific Data
Volume: 11
Issue: 1
ISSN: 2052-4463
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.
https://eprints.bournemouth.ac.uk/40273/
Source: BURO EPrints