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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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FuSA: recording of urban sounds in Valdivia, Chile, between 23 May and 6 June 2022

Authors: Carrasco, Vicente; Huijse, Pablo; Viveros-Muñoz, Rhoddy; Vargas, Victor; Espejo, Diego; Poblete, Victor; Vernier, Matthieu; +2 Authors

FuSA: recording of urban sounds in Valdivia, Chile, between 23 May and 6 June 2022

Abstract

This dataset includes 115 audio recordings and corresponding metadata. The audio recordings were obtained through two monitoring stations installed in different parts of Valdivia (city ubicated at the south of Chile). The two monitoring stations listened to a grand total of 30,240 minutes during two-week and one-week operation periods, respectively. From this dataset only 115 minutes were flagged as surpassing the established sound pressure level. The FuSA system (https://www.acusticauach.cl/fusa/) was then used to obtain event predictions for the 115 minutes subset. The file metadata.csv includes predictions for each audio recordings and their corresponding probabilities.

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Keywords

audio tagging, environmental acoustics, urban sounds, acoustic noise regulation, artificial neural networks, event classification

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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