{"datasetrec":{"DasID":8437,"Acronym":null,"StandardTitle":"LifeWatch observatory data: phytoplankton annotated image library by FlowCam imaging for the Belgian part of the North Sea.","OrigTitle":null,"OrigTitleLangID":null,"OrigTitleLangCode":null,"OrigTitleLang":null,"OrigTitleLangNL":null,"VersionName":"1.0","ContactEmail":"rune.lagaisse@vliz.be","VersionDate":"Nov 30 2023 2:31PM","VersionDay":30,"VersionMonth":11,"VersionYear":2023,"SizeReference":null,"EngAbstract":"

In the framework of the Lifewatch marine observatory a number of fixed stations in the Belgian Part of the North Sea (BPNS) are sampled for phytoplankton monitoring. Samples are processed using a VS-4 FlowCAM model at 4X magnification, size range imaged is 55-300\u00b5m. The identification of the image data is done with the use of a classifier and followed by a manual validation step. These dataset comprises the full annotated image dataset which can be sampled for training of convolutional neural networks. <\/p>","EngDescr":null,"OrigAbstract":null,"OrigDescr":null,"Comments":null,"ReleaseDate":"Oct 31 2024 9:31AM","ReleaseDate0":"2024-10-31","OrigDescrLang":null,"EmbargoDate":null,"OrigDescrLangNL":null,"OrigLangCode":null,"OrigLangCodeExtended":null,"OrigLangID":null,"DescrCompFlag":null,"DescrTransFlag":null,"Citation":"Lagaisse, R., Amadei Martinez, L., Decrop, W., Muyle, J., Mortelmans, J., Deneudt, K., Flanders Marine Institute (VLIZ): Belgium; (2024): LifeWatch observatory data: phytoplankton annotated image library by FlowCam imaging for the Belgian part of the North Sea. Marine Data Archive.","AccessConstraints":null,"UDate":"2024-11-04","CDate":"2023-11-30","CurrencyDate":null,"RevisionDate":null,"DateLastModified":{"date":"2026-04-10 01:42:12.540544","timezone_type":1,"timezone":"+02:00"},"CheckedFlag":0,"PublicFlag":1,"VlizCoreFlag":1,"MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"StatusID":1,"DasType":"Data","DasTypeID":1,"DasOrigin":"Monitoring","Progress":"In Progress","AccessConstraint":"Attribution (CC BY)","AccConstrEN":"Attribution (CC BY)","AccConstrDisplay":"\"Creative<\/a> This dataset is licensed under a 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":1033,"PublicationYear":2024,"DOI":"10.14284\/680","Citation":"Lagaisse, Rune, R.; Amadei Martinez, Luz, L.; Decrop, Wout, W.; Deneudt, Klaas, K.; Muyle, Julie, J.; Mortelmans, Jonas, J.; Flanders Marine Institute (VLIZ): Belgium; (2024): LifeWatch observatory data: phytoplankton annotated image library by FlowCam imaging for the Belgian part of the North Sea. 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","OrigThesTerm":"Computational biomodelling and machine learning","DutchTerm":"Computationele biomodellering en machine learning","URI":null,"DasKeywordDescr":null},{"ThesaurusTerm":"Computational biomodelling and machine learning","ThesTypID":23,"ThesType":"Flemish Research Disciplines","Code":"03010204","Description":"Computational biomodelling and machine learning includes the study of mathematical models of a biological system and machine learning solutions for\u00a0bioinformatics. Here, the focus is on studying these topics in a basic scientific context.","OrigThesTerm":"Computational biomodelling and machine learning","DutchTerm":"Computationele biomodellering en machine learning","URI":null,"DasKeywordDescr":null},{"ThesaurusTerm":"Computational biomodelling and machine learning","ThesTypID":23,"ThesType":"Flemish Research Disciplines","Code":"03020204","Description":"Computational biomodelling and machine learning includes the study of mathematical models of a biological system and machine learning solutions for\u00a0bioinformatics. Here, the focus is on studying these topics in a clinical scientific context.","OrigThesTerm":"Computational biomodelling and machine learning","DutchTerm":"Computationele biomodellering en machine learning","URI":null,"DasKeywordDescr":null},{"ThesaurusTerm":"Imaging","ThesTypID":1,"ThesType":"ASFA Thesaurus List","Code":null,"Description":null,"OrigThesTerm":"Imaging","DutchTerm":null,"URI":null,"DasKeywordDescr":null},{"ThesaurusTerm":"Phytoplankton","ThesTypID":1,"ThesType":"ASFA Thesaurus List","Code":"c_13344","Description":null,"OrigThesTerm":"Phytoplankton","DutchTerm":"Fytoplankton","URI":"http:\/\/aims.fao.org\/aos\/agrovoc\/c_13344","DasKeywordDescr":null}],"parents":[{"DasID":4688,"Acronym":null,"EngAbstract":"In the framework of the Lifewatch marine observatory a number of fixed stations in the Belgian Part of the North Sea (BPNS) are visited on a monthly or seasonal basis using RV Simon Stevin. A grid of nine stations covers the coastal zone and are sampled monthly. Eight additional stations, located further at sea, are sampled on a seasonal basis. Samples are taken using a 55\u00b5m mesh size Apstein net and fixed in Lugol's iodine solution. In the lab, the samples are processed using a VS-4 FlowCAM model at 4X magnification, size range imaged is 55-300\u00b5m. The identification of the image data is done with the use of a classifier and followed by a manual validation step. Since May 2017, this dataset provides micro- and phytoplankton observations, mainly covering diatoms, dinoflagellates and cilliates, for the Belgian Part of the North Sea (BPNS).","License":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","StandardTitle":"LifeWatch observatory data: phytoplankton observations by FlowCam imaging in the Belgian Part of the North Sea","doi":null,"vlizDoi":"10.14284\/774"}],"children":[{"DasID":8645,"Acronym":null,"EngAbstract":"

The images were collected in the framework of the Belgian Lifewatch Research Infrastructure. During multidisciplinary campaigns, a number of fixed stations in the Belgian Part of the North Sea (BPNS) are visited on a monthly (onshore stations) or seasonal (offshore stations) basis. Samples are taken using a 55\u00b5m mesh size Apstein net and fixed in Lugol's iodine solution. In the lab, the samples are processed using a VS-4 FlowCAM model at 4X magnification targeting a particle size range of 55-300\u00b5m. The identification of the image data is done with the use of a CNN and followed by a manual validation step. Since May 2017, this dataset has provided micro- and phytoplankton observations, mainly covering diatoms, dinoflagellates and cilliates, for the Belgian Part of the North Sea (BPNS).<\/p>

 <\/p>

This dataset comprises a trainings datasplit of 337,613 images distributed across 95 classes, with each class containing a minimum of 100 and a maximum of 10,000 images. The goal of this dataset is to be able to facilitate model training, here we have organized the data into a standard split, with 80% allocated for training, 10% for validation, and another 10% for testing purposes. This dataset structure ensures a balanced representation and supports scientific rigor in subsequent analyses.<\/p>","License":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","StandardTitle":"LifeWatch observatory data: phytoplankton annotated trainingset by FlowCam imaging in the Belgian Part of the North Sea","doi":"https:\/\/zenodo.org\/records\/10554845","vlizDoi":null}],"othrel":null,"othrelrev":null,"ownerships":[{"OrderNr":1,"Surname":"Lagaisse","Firstname":"Rune","Initials":"R.","PerPublicFlag":1,"AdrID":169914,"Email":"rune.lagaisse@vliz.be","InsPublicFlag":1,"Acronym":"VLIZ","OrigNameLangCode":"en","OrigNameLangID":15,"FullOrigName":"Flanders Marine Institute","InsOwnerCNT":8,"PersID":39431,"InsID":36,"FullInstitute":"Vlaams Instituut voor de Zee","RoleID":61,"Role":"Data creator","OrigName":"Flanders Marine Institute","StandardName":"Vlaams Instituut voor de 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