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PhD_Parcerisas: Broadband Acoustic Network dataset
Citatie
Parcerisas Clea, Dick Botteldooren, Paul Devos, Debusschere Elisabeth, Flanders Marine Institute (VLIZ); 2021; Broadband Acoustic Network dataset. https://marineinfo.org/id/dataset/7879

Beschikbaarheid: Creative Commons License Deze dataset valt onder een Creative Commons Naamsvermelding 4.0 Internationaal-licentie.

Nota: Only data older than 1 year from the current date are available.

Beschrijving

Underwater Acoustic Network recording continuously from 10 Hz to 50 kHz, covering most of geophonic sounds, anthropogenic noise and biophonic events in the Belgian Part of the North Sea.

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Metadata can be found at https://rshiny.lifewatch.be/etn-data/


Scope
Thema's:
Biologie, Biologie > Ecologie - biodiversiteit, Biologie > Vis
Kernwoorden:
Marien/Kust, Acoustic data, Acoustic telemetry, Acoustic tracking, Acoustic tracking systems, Akoestische Telemetrie, Anthropogenic impacts, Anthropogenic sound, Antropogene effecten, Belgian part of the North Sea, Ecologie, Geluid, Geluidsleer / techniek, Tracking networks, Underwater sound, ANE, België, Belgisch Continentaal Plat (BCP), ANE, België, Belgische kust, Animalia

Geografische spreiding
ANE, België, Belgisch Continentaal Plat (BCP) [Marine Regions]
ANE, België, Belgische kust [Marine Regions]

Spreiding in de tijd
Vanaf 9 Maart 2021 [Gestart]

Taxonomic coverage
Animalia [WoRMS]

Parameter
Detections Methode
Detections: Acoustic telemetry

Bijdrage door
Vlaams Instituut voor de Zee (VLIZ), meerdata creator
Universiteit Gent; Faculteit Ingenieurswetenschappen en Architectuur; Departement Informatietechnologie; WAVES, meerdata creator

Gerelateerde datasets
Maakt deel uit van:
European Tracking Network (ETN) data, meer
Lifewatch observatory data: Broadband acoustic sensor network in the Belgian Part of the North Sea, meer
Dataset deel:
Acoustic salient event annotations, meer
Bron dataset:
Annotated unknown underwater sounds in the Belgian part of the North Sea, meer

Project
Marine Soundscapes in Shallow Water: Automated Tools for Characterization and Analysis, meer
Financiering Eigen Middelen zoals patrimonium, inschrijvingsgelden, giften, ....

Publicatie
Gebaseerd op deze dataset
Calonge, A. et al. (2024). Revised clusters of annotated unknown sounds in the Belgian part of the North sea. Front. Remote Sens. 5: 1384562. https://dx.doi.org/10.3389/frsen.2024.1384562, meer
Parcerisas, C. (2024). Marine soundscapes in shallow water: Automated tools for characterization and analysis. VLIZ PhD Theses, 4. Ir Thesis. Ghent University, Faculty of Engineering and Architecture: Ghent. ISBN 978-94-6355-848-8. 370 pp., meer
Parcerisas, C. et al. (2024). Machine learning for efficient segregation and labeling of potential biological sounds in long-term underwater recordings. Front. Remote Sens. 5: 1390687. https://dx.doi.org/10.3389/frsen.2024.1390687, meer
Schmidlin, S. et al. (2024). Comparison of the effects of reef and anthropogenic soundscapes on oyster larvae settlement. NPG Scientific Reports 14(1): 12580. https://dx.doi.org/10.1038/s41598-024-63322-2, meer
Parcerisas, C. et al. (2023). Categorizing shallow marine soundscapes using explained clusters. J. Mar. Sci. Eng. 11(3): 550. https://dx.doi.org/10.3390/jmse11030550, meer
Rey Baquero, M.P. et al. (2021). Comparison of two soundscapes: An opportunity to assess the dominance of biophony versus anthropophony, in: Kappel, E.S. et al. Frontiers in Ocean Observing: Documenting ecosystems, understanding environmental changes, forecasting hazards. Oceanography, Suppl. 34(4): pp. 62-65. https://dx.doi.org/10.5670/oceanog.2021.supplement.02-24, meer
Beschrijft deze dataset
Flanders Marine Institute (VLIZ) (2024). Multipurpose seabed moorings: Developed for coastal dynamic seas. Oceanography Suppl. : In prep., meer


Dataset status: Gestart
Data type: Data
Data oorsprong: Onderzoek: veldonderzoek
Metadatarecord aangemaakt: 2021-09-23
Informatie laatst gewijzigd: 2024-06-11
Alle informatie in het Integrated Marine Information System (IMIS) valt onder het VLIZ Privacy beleid