    {"datasetrec":{"DasID":6431,"Acronym":"SBS BPNS","StandardTitle":"GEANS SBS pilot - 2019 DNA based soft bottom monitoring of macrobenthos in the framework of sand extraction at BPNS by ILVO","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":"Macrobenthos samples taken with a VV grab (0,1 m²) at the BPNS at three sand extraction sites (Thorntonbank, Hinderbanken and Oostdyck) along an intensity gradient of sand extraction at each sand bank and at control locations. Objective is to investigate whether DNA based methods allow for impact assessment of sand extraction. From each sampling location, grain size and environmental metadata (e.g. coordinates, depth, temperature, salinity,...)  are available as well. From Thorntonbank samples, both morphological macrobenthos (species, count, biomass) and DNA sequences are available. From Oostdyck and Hinderbanken only DNA sequences from the macrobenthos are available.","EngDescr":null,"OrigAbstract":null,"OrigDescr":null,"Comments":null,"ReleaseDate":null,"ReleaseDate0":null,"OrigDescrLang":null,"EmbargoDate":"2023-06-29","OrigDescrLangNL":null,"OrigLangCode":null,"OrigLangCodeExtended":null,"OrigLangID":null,"DescrCompFlag":0,"DescrTransFlag":0,"Citation":"De Backer, A.; Wittoeck, J.; Van Den Bulcke, L.; Derycke S. (2019) DNA based soft bottom monitoring of macrobenthos in the framework of sand extraction at Belgian part of the North Sea by ILVO","AccessConstraints":"until publication","UDate":"2023-07-13","CDate":"2020-03-19","CurrencyDate":null,"RevisionDate":null,"DateLastModified":{"date":"2026-05-14 01:44:00.153333","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":"Research: field survey","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":null,"spcols":null,"keywords":null,"parents":[{"DasID":6410,"Acronym":"GEANS Data","EngAbstract":"Sustainable use and management of marine resources is key for good ecosystem health. Monitoring for ecosystem health assessments is currently based on morphological species identification, which is time-consuming, labor-intensive and skills reliant. DNA-based tools promise cheaper, faster and more accurate methods, yet, different approaches between countries are used which hamper standard routine application. The Interreg NSR project GEANS, therefore aims to:\r\n\r\n1. Develop joint time- and cost-reducing genetic monitoring tools that feed into existing indicators to assess North Sea ecosystem health\r\n2. Implement standardized genetic tools and SOPs in routine biological assessments\r\n3. 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