UMR5602 GEODE (Géographie de l'environnement), CNRS, Université Toulouse 2 - Jean Jaurès, 31058, Toulouse, France.
UMR6285 Lab-STICC (Laboratoire des Sciences et Techniques de l'information de la Communication et de la Connaissance), IMT Atlantique, CNRS, 29238, Brest, France.
Sci Data. 2024 Aug 27;11(1):928. doi: 10.1038/s41597-024-03611-7.
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.
应对 COVID-19 大流行的政治措施导致了全球城市声景的变化。2020 年 3 月至 10 月，“寂静城市”项目汇集了来自 35 个国家的 261 名贡献者，他们建立了一个独特的声景录音集，以报告城市地区的局部声学变化。我们在这里展示这个集合，以及包括贡献者对当地区域的观测描述、开源环境数据、开源禁闭水平和声学描述符计算在内的元数据。我们使用在手动注释声景子集上运行的统计模型对数据集进行了技术验证。结果证实了生态声学指数和自动声音事件识别在“寂静城市”声景集合中的大规模可用性。我们希望这个数据集对环境科学多学科领域的研究有用。
