Reconstructed hydrophone images obtained as the output of an autoencoder model fed with original hydrophone spectrograms obtained from different hydrophones in the Northeast Pacific and in the Canadian Arctic

This data package contains 2024 reconstructed hydrophone spectrograms that were generated by the autoencoder model that is described in the publication “Anomaly detection in complex data: a practical application when outliers are few” by Engida, Z., Foloni-Neto, H., Slonimer, A., Bedard, J., Alam, F...

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Bibliographic Details
Main Author:	Ocean Networks Canada
Format:	Dataset
Language:	unknown
Published:	2022
Subjects:	hydrophones Model Barkley Canyon Earth and Environmental Sciences Canada Quality Assurance Quality Control Acoustic Frequency Ocean Sonics icListen AF hydrophone Machine Learning Ocean Sonics icListen HF hydrophone Northeast Pacific Cambridge Bay PNG GeoSpectrum M36-100 hydrophone Ocean Acoustics Ocean Sound Folger Deep Strait of Georgia Arctic Pacific Folger
Online Access:	https://search.dataone.org/view/sha256:e1338ea65150a31d4bc4f9fe3b7c7b1d4cc859be90d707884e5f22d6b008a6a1

id	dataone:sha256:e1338ea65150a31d4bc4f9fe3b7c7b1d4cc859be90d707884e5f22d6b008a6a1
record_format	openpolar
spelling	dataone:sha256:e1338ea65150a31d4bc4f9fe3b7c7b1d4cc859be90d707884e5f22d6b008a6a1 2024-06-03T18:46:34+00:00 Reconstructed hydrophone images obtained as the output of an autoencoder model fed with original hydrophone spectrograms obtained from different hydrophones in the Northeast Pacific and in the Canadian Arctic Ocean Networks Canada 2022-08-30T00:00:00Z https://search.dataone.org/view/sha256:e1338ea65150a31d4bc4f9fe3b7c7b1d4cc859be90d707884e5f22d6b008a6a1 unknown hydrophones Model Barkley Canyon Earth and Environmental Sciences Canada Quality Assurance Quality Control Acoustic Frequency Ocean Sonics icListen AF hydrophone Machine Learning Ocean Sonics icListen HF hydrophone Northeast Pacific Cambridge Bay PNG GeoSpectrum M36-100 hydrophone Ocean Acoustics Ocean Sound Folger Deep Strait of Georgia Dataset 2022 dataone:urn:node:BOREALIS 2024-06-03T18:18:48Z This data package contains 2024 reconstructed hydrophone spectrograms that were generated by the autoencoder model that is described in the publication “Anomaly detection in complex data: a practical application when outliers are few” by Engida, Z., Foloni-Neto, H., Slonimer, A., Bedard, J., Alam, F. S., Snauffer, A. (2022). This data set is the output of the autoencoder model after being fed with 2024 original hydrophone spectrograms that were in the North Pacific and Canadian Arctic between 2014 and 2021. Dataset Arctic Cambridge Bay Unknown Arctic Canada Pacific Cambridge Bay ENVELOPE(-105.130,-105.130,69.037,69.037) Folger ENVELOPE(110.745,110.745,-66.131,-66.131)
institution	Open Polar
collection	Unknown
op_collection_id	dataone:urn:node:BOREALIS
language	unknown
topic	hydrophones Model Barkley Canyon Earth and Environmental Sciences Canada Quality Assurance Quality Control Acoustic Frequency Ocean Sonics icListen AF hydrophone Machine Learning Ocean Sonics icListen HF hydrophone Northeast Pacific Cambridge Bay PNG GeoSpectrum M36-100 hydrophone Ocean Acoustics Ocean Sound Folger Deep Strait of Georgia
spellingShingle	hydrophones Model Barkley Canyon Earth and Environmental Sciences Canada Quality Assurance Quality Control Acoustic Frequency Ocean Sonics icListen AF hydrophone Machine Learning Ocean Sonics icListen HF hydrophone Northeast Pacific Cambridge Bay PNG GeoSpectrum M36-100 hydrophone Ocean Acoustics Ocean Sound Folger Deep Strait of Georgia Ocean Networks Canada Reconstructed hydrophone images obtained as the output of an autoencoder model fed with original hydrophone spectrograms obtained from different hydrophones in the Northeast Pacific and in the Canadian Arctic
topic_facet	hydrophones Model Barkley Canyon Earth and Environmental Sciences Canada Quality Assurance Quality Control Acoustic Frequency Ocean Sonics icListen AF hydrophone Machine Learning Ocean Sonics icListen HF hydrophone Northeast Pacific Cambridge Bay PNG GeoSpectrum M36-100 hydrophone Ocean Acoustics Ocean Sound Folger Deep Strait of Georgia
description	This data package contains 2024 reconstructed hydrophone spectrograms that were generated by the autoencoder model that is described in the publication “Anomaly detection in complex data: a practical application when outliers are few” by Engida, Z., Foloni-Neto, H., Slonimer, A., Bedard, J., Alam, F. S., Snauffer, A. (2022). This data set is the output of the autoencoder model after being fed with 2024 original hydrophone spectrograms that were in the North Pacific and Canadian Arctic between 2014 and 2021.
format	Dataset
author	Ocean Networks Canada
author_facet	Ocean Networks Canada
author_sort	Ocean Networks Canada
title	Reconstructed hydrophone images obtained as the output of an autoencoder model fed with original hydrophone spectrograms obtained from different hydrophones in the Northeast Pacific and in the Canadian Arctic
title_short	Reconstructed hydrophone images obtained as the output of an autoencoder model fed with original hydrophone spectrograms obtained from different hydrophones in the Northeast Pacific and in the Canadian Arctic
title_full	Reconstructed hydrophone images obtained as the output of an autoencoder model fed with original hydrophone spectrograms obtained from different hydrophones in the Northeast Pacific and in the Canadian Arctic
title_fullStr	Reconstructed hydrophone images obtained as the output of an autoencoder model fed with original hydrophone spectrograms obtained from different hydrophones in the Northeast Pacific and in the Canadian Arctic
title_full_unstemmed	Reconstructed hydrophone images obtained as the output of an autoencoder model fed with original hydrophone spectrograms obtained from different hydrophones in the Northeast Pacific and in the Canadian Arctic
title_sort	reconstructed hydrophone images obtained as the output of an autoencoder model fed with original hydrophone spectrograms obtained from different hydrophones in the northeast pacific and in the canadian arctic
publishDate	2022
url	https://search.dataone.org/view/sha256:e1338ea65150a31d4bc4f9fe3b7c7b1d4cc859be90d707884e5f22d6b008a6a1
long_lat	ENVELOPE(-105.130,-105.130,69.037,69.037) ENVELOPE(110.745,110.745,-66.131,-66.131)
geographic	Arctic Canada Pacific Cambridge Bay Folger
geographic_facet	Arctic Canada Pacific Cambridge Bay Folger
genre	Arctic Cambridge Bay
genre_facet	Arctic Cambridge Bay
_version_	1800867961804685312

Reconstructed hydrophone images obtained as the output of an autoencoder model fed with original hydrophone spectrograms obtained from different hydrophones in the Northeast Pacific and in the Canadian Arctic

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