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
Other Authors: Ridsdale, Chantel
Format: Still Image
Language:English
Published: Borealis
Subjects:
Earth and Environmental Sciences
Ocean Sonics icListen AF hydrophone
Ocean Sonics icListen HF hydrophone
GeoSpectrum M36-100 hydrophone
hydrophones
Northeast Pacific
Ocean Sound
Folger Deep
Cambridge Bay
Strait of Georgia
Barkley Canyon
Canada
Ocean Acoustics
Acoustic Frequency
PNG
Quality Assurance Quality Control
Machine Learning
Model
Arctic
Folger
Pacific
Online Access:https://doi.org/10.5683/SP3/DK80XW
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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