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LifeWatch Broadband acoustic network in the Belgian Part of the North Sea: Dataset annotated with AIS 2022
Citable as data publication
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 ;
Availability: The data can be made available upon request, please use contact information.
Notes: 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.
Description
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. moreThe 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 Themes: Coastal studies (e.g. shores, estuaries) Keywords: Acoustic data · Automated Information System (AIS) · Hydrophones · Shipping noise · Vessel noise · Belgian part of the North Sea Geographical coverage Belgian part of the North Sea [Marine Regions] Temporal coverage
20 January 2022 - 5 November 2022 Parameters
Activity Methodology
Distance from hydrophone to the vessel Vessel coordinates Vessel number Vessel type Methodology Activity: AIVDM/AIVDO protocol decoding (https://gpsd.gitlab.io/gpsd/AIVDM.html) Vessel type: AIVDM/AIVDO protocol decoding (https://gpsd.gitlab.io/gpsd/AIVDM.html) Contributors
Vlaams Instituut voor de Zee (VLIZ), more, data creator, co-ordinator
Related datasets
Parent datasets: PhD_Parcerisas: Broadband Acoustic Network dataset, more Lifewatch observatory data: Broadband acoustic sensor network in the Belgian Part of the North Sea, more Child dataset: Subset of acoustic data with AIS labels deployment from Grafton station in the Belgian Part of the North Sea, recorded in fall 2022, more Project
Axolotl: From sky to seafloor observation: Achieving eXcellence in Oceanic surveiLlance and cOnservation Through deep Learning
, more
Funding Horizon Europe
iMagine: Imaging data and services for aquatic science, more
Funding Horizon Europe
Grant agreement ID 101058625
LifeWatch: Flemish contribution to LifeWatch.eu, more
Funding FWO International research infrastructure
Grant agreement ID I002021N
Publication
Based on this 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, more
Dataset status: Completed
Data type: Data
Data origin: Data collection
Metadatarecord created: 2025-10-07
Information last updated: 2026-04-02
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