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
Description
Summary: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.

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