{"datasetrec":{"DasID":8773,"Acronym":null,"StandardTitle":"AIS-annotated Hydrophone Recordings for Vessel Classification","OrigTitle":null,"OrigTitleLangID":null,"OrigTitleLangCode":null,"OrigTitleLang":null,"OrigTitleLangNL":null,"VersionName":null,"ContactEmail":null,"VersionDate":null,"VersionDay":null,"VersionMonth":null,"VersionYear":null,"SizeReference":null,"EngAbstract":"<p>This dataset contains 10-second underwater acoustic recordings labeled with Automatic Identification System (AIS) data, collected from the Belgian part of the North Sea (BPNS). The data were gathered to develop machine learning models for vessel activity classification and distance prediction. Hydrophones were deployed at two stations, Gardencity and Grafton, near busy shipping routes, capturing vessel-generated sounds. AIS data was used to annotate these recordings with vessel position, speed, type, and activity. The dataset includes 27 524 labeled audio segments recorded over 116 days and is split into training, validation, and testing subsets.</p>","EngDescr":"<p>This dataset was developed to support research on vessel monitoring using underwater acoustic recordings labeled with AIS data. It was created by researchers from VLIZ (Flanders Marine Institute) and collaborators to improve machine learning models for vessel classification and distance prediction. The dataset consists of 10-second underwater sound recordings, collected at two hydrophone stations, Gardencity and Grafton, located in the Belgian part of the North Sea (BPNS). These stations were strategically placed near major shipping routes to capture vessel-generated noise. Vessel positions, speeds, types, and activities were extracted from AIS-Hub data and linked to each recording, providing labeled data for model training. The recordings were collected over 116 days, resulting in 27 524 labeled audio segments. Each segment is accompanied by metadata, including AIS-derived vessel information and the hydrophone station. The dataset splits (training, validation, and testing) are provided as separate files in the data_split folder to ensure structured and reproducible dataset usage for machine learning applications. This dataset enables research in passive acoustic monitoring, vessel detection, and maritime traffic analysis, offering valuable data for studying human activity at sea.</p>","OrigAbstract":null,"OrigDescr":null,"Comments":null,"ReleaseDate":null,"ReleaseDate0":null,"OrigDescrLang":null,"EmbargoDate":null,"OrigDescrLangNL":null,"OrigLangCode":null,"OrigLangCodeExtended":null,"OrigLangID":null,"DescrCompFlag":null,"DescrTransFlag":null,"Citation":"Decrop, W.; Deneudt, K.; Parcerisas, C.; Schall, E.; Debusschere, E.; Flanders Marine Institute; Alfred Wegener Institute for Polar and Marine Research Bremerhaven, Ocean Acoustics Group; (2025): AIS-annotated Hydrophone Recordings for Vessel Classification. Marine Data Archive.","AccessConstraints":null,"UDate":"2026-04-02","CDate":"2025-03-13","CurrencyDate":null,"RevisionDate":null,"DateLastModified":{"date":"2026-04-02 11:48:51.214929","timezone_type":1,"timezone":"+02:00"},"CheckedFlag":1,"PublicFlag":1,"VlizCoreFlag":1,"MarineFlag":null,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"StatusID":1,"DasType":"Data","DasTypeID":1,"DasOrigin":"Data collection","Progress":"Completed","AccessConstraint":"Attribution (CC BY)","AccConstrEN":"Attribution (CC BY)","AccConstrDisplay":"<a rel=\"license\" href=\"https://creativecommons.org/licenses/by/4.0/\" target=\"_blank\"><img alt=\"Creative Commons License\" style=\"border:0px;height:15px;width:80px;vertical-align:middle;\" src=\"https://www.marinespecies.org/aphia/images/cc/by.png\" /></a> This dataset is licensed under a <a rel=\"license\" href=\"https://creativecommons.org/licenses/by/4.0/\" target=\"_blank\">Creative Commons Attribution 4.0 International License</a>.","License":"https://creativecommons.org/licenses/by/4.0/","AccConstrDescription":"This license lets others distribute, remix, tweak, and build upon your work, even commercially, as long as they credit you for the original creation. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.","Lineage":null,"AccConID":21},"dois":[{"DOIID":1154,"PublicationYear":2025,"DOI":"10.14284/723","Citation":"Decrop, W.; Deneudt, K.; Parcerisas, C.; Schall, E.; Debusschere, E.; Flanders Marine Institute; Alfred Wegener Institute for Polar and Marine Research Bremerhaven, Ocean Acoustics Group; (2025): AIS-annotated Hydrophone Recordings for Vessel Classification. Marine Data Archive.","MDAID":"VLIZ_00000311_67f77ad4eb08e614634162","Moratorium":0,"MDAURL":"https://mda.vliz.be/directlink.php?fid=VLIZ_00000311_67f77ad4eb08e614634162","CurrentDOI":1,"Active":1,"URL":null,"downloadURL":"https://mda.vliz.be/download.php?file=VLIZ_00000311_67f77ad4eb08e614634162"}],"spcols":null,"keywords":[{"ThesaurusTerm":"AIS (Automatic Identification System)","ThesTypID":0,"ThesType":null,"Code":null,"Description":null,"OrigThesTerm":"AIS (Automatic Identification System)","DutchTerm":null,"URI":null,"DasKeywordDescr":null},{"ThesaurusTerm":"Distance classification","ThesTypID":0,"ThesType":null,"Code":null,"Description":null,"OrigThesTerm":"Distance classification","DutchTerm":"","URI":null,"DasKeywordDescr":null},{"ThesaurusTerm":"Machine learning","ThesTypID":2,"ThesType":"CSA Technology Research Database Master Thesaurus","Code":null,"Description":null,"OrigThesTerm":"Machine learning","DutchTerm":null,"URI":null,"DasKeywordDescr":null},{"ThesaurusTerm":"Passive acoustic monitoring (PAM)","ThesTypID":0,"ThesType":null,"Code":null,"Description":null,"OrigThesTerm":"Passive acoustic monitoring (PAM)","DutchTerm":null,"URI":null,"DasKeywordDescr":null},{"ThesaurusTerm":"Underwater acoustics","ThesTypID":1,"ThesType":"ASFA Thesaurus List","Code":null,"Description":null,"OrigThesTerm":"Underwater acoustics","DutchTerm":"Onderwaterakoestiek","URI":null,"DasKeywordDescr":null},{"ThesaurusTerm":"Vessel detection","ThesTypID":0,"ThesType":null,"Code":null,"Description":null,"OrigThesTerm":"Vessel detection","DutchTerm":"","URI":null,"DasKeywordDescr":null}],"parents":null,"children":null,"othrel":null,"othrelrev":null,"ownerships":[{"OrderNr":1,"Surname":"Decrop","Firstname":"Wout","Initials":"W.","PerPublicFlag":1,"AdrID":170200,"Email":"wout.decrop@vliz.be","InsPublicFlag":1,"Acronym":"VLIZ","OrigNameLangCode":"en","OrigNameLangID":15,"FullOrigName":"Flanders Marine Institute","InsOwnerCNT":6,"PersID":42199,"InsID":36,"FullInstitute":"Vlaams Instituut voor de Zee","RoleID":24,"Role":"Contact","OrigName":"Flanders Marine Institute","StandardName":"Vlaams Instituut voor de Zee","FullAcronym":"VLIZ","ORC":"https://orcid.org/0009-0001-7756-8310","ROR":"https://ror.org/0496vr396"},{"OrderNr":2,"Surname":"Decrop","Firstname":"Wout","Initials":"W.","PerPublicFlag":1,"AdrID":170200,"Email":"wout.decrop@vliz.be","InsPublicFlag":1,"Acronym":"VLIZ","OrigNameLangCode":"en","OrigNameLangID":15,"FullOrigName":"Flanders Marine Institute","InsOwnerCNT":6,"PersID":42199,"InsID":36,"FullInstitute":"Vlaams Instituut voor de Zee","RoleID":61,"Role":"Data creator","OrigName":"Flanders Marine Institute","StandardName":"Vlaams Instituut voor de Zee","FullAcronym":"VLIZ","ORC":"https://orcid.org/0009-0001-7756-8310","ROR":"https://ror.org/0496vr396"},{"OrderNr":3,"Surname":"Deneudt","Firstname":"Klaas","Initials":"K.","PerPublicFlag":1,"AdrID":171088,"Email":"klaas.deneudt@vliz.be","InsPublicFlag":1,"Acronym":"VLIZ","OrigNameLangCode":"en","OrigNameLangID":15,"FullOrigName":"Flanders Marine Institute","InsOwnerCNT":6,"PersID":3362,"InsID":36,"FullInstitute":"Vlaams Instituut voor de Zee","RoleID":61,"Role":"Data creator","OrigName":"Flanders Marine Institute","StandardName":"Vlaams Instituut voor de Zee","FullAcronym":"VLIZ","ORC":"https://orcid.org/0000-0002-8559-3508","ROR":"https://ror.org/0496vr396"},{"OrderNr":4,"Surname":"Parcerisas","Firstname":"Clea","Initials":"C.","PerPublicFlag":1,"AdrID":162692,"Email":"clea.parcerisas@vliz.be","InsPublicFlag":1,"Acronym":"VLIZ","OrigNameLangCode":"en","OrigNameLangID":15,"FullOrigName":"Flanders Marine Institute","InsOwnerCNT":6,"PersID":38082,"InsID":36,"FullInstitute":"Vlaams Instituut voor de Zee","RoleID":61,"Role":"Data creator","OrigName":"Flanders Marine Institute","StandardName":"Vlaams Instituut voor de Zee","FullAcronym":"VLIZ","ORC":"https://orcid.org/0000-0001-7466-0288","ROR":"https://ror.org/0496vr396"},{"OrderNr":5,"Surname":"Schall","Firstname":"Elena","Initials":"E.","PerPublicFlag":1,"AdrID":168067,"Email":"elena.schall@awi.de","InsPublicFlag":1,"Acronym":"OZA","OrigNameLangCode":null,"OrigNameLangID":null,"FullOrigName":null,"InsOwnerCNT":2,"PersID":44921,"InsID":15338,"FullInstitute":"Alfred Wegener Institute for Polar- and Marine Research; 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Transfer learning for distance classification of marine vessels using underwater sound. <i>IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens.  18</i>: 19710-19726. <a href=\"https://dx.doi.org/10.1109/jstars.2025.3593779\" target=\"_blank\">https://dx.doi.org/10.1109/jstars.2025.3593779</a>","RR":"<b>Decrop, W. <i>et al.</i></b> (2025). Transfer learning for distance classification of marine vessels using underwater sound. <i>IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens.  18</i>: 19710-19726. <a href=\"https://dx.doi.org/10.1109/jstars.2025.3593779\" target=\"_blank\">https://dx.doi.org/10.1109/jstars.2025.3593779</a>","4":"Transfer learning for distance classification of marine vessels using underwater sound","StT":"Transfer learning for distance classification of marine vessels using underwater sound","5":"Decrop, W.; Deneudt, D.; Parcerisas, C.; Schall, E.; Debusschere, E.","RSA":"Decrop, W.; Deneudt, D.; Parcerisas, C.; Schall, E.; Debusschere, E.","6":"Gebaseerd op deze dataset","DutchTerm":"Gebaseerd op deze dataset","7":2025,"AnaDate":2025,"8":null,"MonDate":null,"9":". <i>IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens.  18</i>: 19710-19726. <a href=\"https://dx.doi.org/10.1109/jstars.2025.3593779\" target=\"_blank\">https://dx.doi.org/10.1109/jstars.2025.3593779</a>","":". <i>IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens.  18</i>: 19710-19726. <a href=\"https://dx.doi.org/10.1109/jstars.2025.3593779\" target=\"_blank\">https://dx.doi.org/10.1109/jstars.2025.3593779</a>","10":"https://dx.doi.org/10.1109/jstars.2025.3593779","doi":"https://dx.doi.org/10.1109/jstars.2025.3593779"}],"urls":null,"pictures":null,"urlmaps":null,"spatreps":null,"fileformats":null,"resmessage":"","complete":1}