{"datasetrec":{"DasID":8925,"Acronym":null,"StandardTitle":"VLIZ observatory data: shipboard underway plankton biodiversity observations by flow-through imaging (Plankton Imager, Pi-10) in the Southern North Sea","OrigTitle":null,"OrigTitleLangID":null,"OrigTitleLangCode":null,"OrigTitleLang":null,"OrigTitleLangNL":null,"VersionName":null,"ContactEmail":"jonas.mortelmans@vliz.be","VersionDate":null,"VersionDay":null,"VersionMonth":null,"VersionYear":null,"SizeReference":null,"EngAbstract":"<p>The Plankton Imager 10 (Pi-10) is an advanced imaging system designed for high-frequency, high-resolution monitoring of plankton in the Belgian part of the North Sea, providing real-time data collection aboard the RV Simon Stevin.</p>","EngDescr":null,"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":null,"AccessConstraints":null,"UDate":"2026-04-02","CDate":"2025-09-30","CurrencyDate":null,"RevisionDate":null,"DateLastModified":{"date":"2026-05-22 09:28:05.733370","timezone_type":1,"timezone":"+02:00"},"CheckedFlag":0,"PublicFlag":1,"VlizCoreFlag":1,"MarineFlag":null,"FreshFlag":null,"BrackishFlag":null,"TerrestrialFlag":0,"StatusID":1,"DasType":"Data","DasTypeID":1,"DasOrigin":"Research: field survey","Progress":"In Progress","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. 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This work serves as a prototype for future marine observatories, advancing Europe’s capacity to monitor and model marine life within initiatives such as EMODnet and the European Digital Twin of the Ocean.</p>","License":null,"StandardTitle":"<strong>Plankton biodiversity data from MARCO-BOLO Cruise with R/V Simon Stevin in May 2025</strong>","doi":null,"vlizDoi":null},{"DasID":9002,"Acronym":null,"EngAbstract":"<p>Imaging sensors are widely used in marine observatories to collect biodiversity observations, but image-based data typically require manual validation before further use. We present an R Shiny application developed within the VLIZ observatory framework to support the validation of biodiversity observations derived from imaging sensors.</p><p>The application allows users to browse large sets of images organised in folders, visually inspect individual images, and assign validation or annotation labels using a predefined taxonomy. Images can be labeled individually or in bulk. Validated results are stored in a simple tabular format with user attribution and can be exported for integration into downstream workflows.</p><p>The application is sensor-independent and can be applied to image data from different imaging platforms, providing a practical tool for routine validation of imaging-based biodiversity observations.</p>","License":"https://creativecommons.org/licenses/by/4.0/","StandardTitle":"<strong>VLIZ observatory data: an R Shiny application for validation of biodiversity observations from imaging sensors</strong>","doi":"https://doi.org/10.5281/zenodo.18429119","vlizDoi":null},{"DasID":8941,"Acronym":"phdEske","EngAbstract":"<p>This PhD utilizes ZooScan to analyze plankton community composition and abundance in the Belgian part of the North Sea, processing samples to study the impacts of marine heatwaves. By integrating these data with physical climate variables, we assess how heatwaves influence plankton phenology and dominance shifts. The data produced here, is sampled by continously through the underway system of the RV Simon Stevin, imaged by Plankton Imager (Pi-10), predicted by in-house models and followed by manual validation.</p>","License":"https://creativecommons.org/licenses/by/4.0/","StandardTitle":"PhD thesis Eske, A.: Plankton responses to extreme climate events: zoo-and phytoplankton observations by imaging (Pi-10)","doi":null,"vlizDoi":null},{"DasID":9088,"Acronym":null,"EngAbstract":null,"License":"https://creativecommons.org/licenses/by/4.0/","StandardTitle":"Pre-trained models and learning sets for classification of Southern North Sea plankton images collected by the Plankton Imager 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