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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2022
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Online Access: | https://search.dataone.org/view/sha256:e1338ea65150a31d4bc4f9fe3b7c7b1d4cc859be90d707884e5f22d6b008a6a1 |
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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 |