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LifeWatch Broadband acoustic network in the Belgian Part of the North Sea: Dataset annotated with AIS 2022
Citeerbaar als data publicatie
Decrop, W.; Parcerisas, C.; Debusschere, E.; Flanders Marine Institute: Belgium; (2025): LifeWatch Broadband acoustic network in the Belgian Part of the North Sea: Dataset annotated with AIS 2022. Marine Data Archive. https://doi.org/10.14284/762
Contact: Decrop, Wout ;

Gearchiveerde data
Beschikbaarheid: De data kan beschikbaar gesteld worden op aanvraag via de hogervermelde contactgegevens.

Nota: The following can be made available upon request under the CC BY 4.0 license. In case of requests in a dual use or offshore security context, an additional ethical screening will be conducted to assess whether the request is in line with the VLIZ framework for dual use and misuse.

Beschrijving

This dataset contains underwater acoustic recordings with associated AIS-based vessel metadata, collected from Grafton and GardenCity Station in the Belgian part of the North Sea. Data were recorded over five non-consecutive days in 2022 and enable analysis of marine acoustic environments in relation to nearby ship traffic.

meer

The dataset contains underwater acoustic recordings and vessel labels derived from AIS (Automatic Identification System) data, collected in the Belgian Part of the North Sea (BPNS) between 20 January 2022 and 5 November 2022. Recordings were made using hydrophones deployed at two stations, Gardencity and Grafton, both located near busy shipping routes. The acoustic data are provided as FLAC files, each approximately 10 minutes and 13 seconds long, covering continuous monitoring periods. Vessel metadata are included in an accompanying Excel file, where each row corresponds to an AIS event. The AIS data were collected within a ±15 km range of each hydrophone and include the following fields: ship_number longitude, latitude event_time type (ship type) distance (to the hydrophone station) msg_type_description sog (Speed Over Ground) The dataset originates from the LifeWatch Broadband Acoustic Network and spans multiple non-consecutive recording days across the full monitoring period. It provides a valuable resource for: Passive Acoustic Monitoring (PAM) research Characterization of vessel noise Training and evaluation of machine learning models for vessel activity classification and vessel–hydrophone distance prediction This dataset was compiled as part of the research presented in IEEE JSTARS (DOI: 10.1109/JSTARS.2025.3593779 ).


Scope
Thema's:
Kustonderzoek (bv. stranden, estuaria)
Kernwoorden:
· Acoustic data · Automated Information System (AIS) · Hydrofonen · Shipping noise · Belgian part of the North Sea

Geografische spreiding
Belgian part of the North Sea [Marine Regions]

Spreiding in de tijd
20 Januari 2022 - 5 November 2022

Parameters
Activity Methode
Distance from hydrophone to the vessel
Type vaartuig Methode
Vessel coordinates
Vessel number
Activity: AIVDM/AIVDO protocol decoding (https://gpsd.gitlab.io/gpsd/AIVDM.html)
Type vaartuig: AIVDM/AIVDO protocol decoding (https://gpsd.gitlab.io/gpsd/AIVDM.html)

Bijdrage door
Vlaams Instituut voor de Zee (VLIZ), meerdata creatorcoördinator

Gerelateerde datasets
Maakt deel uit van:
PhD_Parcerisas: Broadband Acoustic Network dataset, meer
Lifewatch observatory data: Broadband acoustic sensor network in the Belgian Part of the North Sea, meer
Dataset deel:
Subset of acoustic data with AIS labels deployment from Grafton station in the Belgian Part of the North Sea, recorded in fall 2022, meer

Project
Axolotl: Van lucht- tot zeebodemobservatie: Uitmuntendheid bereiken in oceaanobservatie en -conservatie met behulp van deep learning, meer
Financiering Horizon Europe
iMagine: Imaging data and services for aquatic science, meer
Financiering Horizon Europe
Subsidieovereenkomst ID 101058625
LifeWatch: Flemish contribution to LifeWatch.eu, meer
Financiering FWO Internationale onderzoeksinfrastructuur
Subsidieovereenkomst ID I002021N

Publicatie
Gebaseerd op deze dataset
Decrop, W. et al. (2025). Transfer learning for distance classification of marine vessels using underwater sound. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. 18: 19710-19726. https://dx.doi.org/10.1109/jstars.2025.3593779, meer

Dataset status: Afgelopen
Data type: Data
Data oorsprong: Data collectie
Metadatarecord aangemaakt: 2025-10-07
Informatie laatst gewijzigd: 2026-04-02
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