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ZENODO
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Dataset . 2022
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EDANSA-2019: The Ecoacoustic Dataset from Arctic North Slope Alaska

Authors: Çoban, Enis Berk; Perra, Megan; Pir, Dara; Mandel, Michael;

EDANSA-2019: The Ecoacoustic Dataset from Arctic North Slope Alaska

Abstract

We are sharing the Ecoacoustic Dataset from Arctic North Slope Alaska (EDANSA-2019), a dataset with audio samples collected from the area of 9000 square miles throughout the 2019 summer season on the North Slope of Alaska and neighboring regions. There are over 27 hours of labeled data according to 28 tags with enough instances of 9 important environmental classes to train baseline convolutional recognizers. Please see the following GitHub page for the accompanying publication, updates about the dataset, and baseline code: https://github.com/speechLabBcCuny/EDANSA-2019

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Keywords

labeled data, audio dataset, biophony, convolutional neural network, Ecoacoustics, geophony, anthrophony

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selected citations
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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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