{"datasetrec":{"DasID":8088,"Acronym":"TIMBERS","StandardTitle":"TIMBERS in-situ sensor dataset","OrigTitle":"TIMBERS in-situ sensor dataset","OrigTitleLangID":15,"OrigTitleLangCode":"en","OrigTitleLang":"English","OrigTitleLangNL":"Engels","VersionName":null,"ContactEmail":null,"VersionDate":null,"VersionDay":null,"VersionMonth":null,"VersionYear":null,"SizeReference":null,"EngAbstract":"Dataset comprises in-situ sensor data that was collected in the Belgian Part of the North Sea (Kwinte and Westdiep areas) in the framework of the BELSPO-funded TIMBERS project, where an onset towards 3D turbidity monitoring was the main goal. The in-situ data was collected at the surface (WISP) and underwater in 1D stations (CTD and OBS profiles, Niskin water samples) and along 2D transects (CTD, OBS, LISST). The water samples were then further analysed in the lab (Hach measurements, filtration and gravimetric analyses).","EngDescr":"Filtration and gravimetric analyses of the (niskin) water samples yielded suspended particle concentrations in mg/L. These laboratory analyses were performed by the Flanders Environment Agency (VMM), following their standard protocol (VMM/LAB/GBM/1.213 - Beproevingsmethode voor de kwantitatieve bepaling van zwevende stoffen in water, Johan Annys, 10/12/2021).","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":"Praet, N.; Vandorpe T.; Ollevier, A.; Dierssen, H.; Flanders Marine Institute (VLIZ): Belgium; University of Connecticut: USA; (2022): TIMBERS in-situ sensor dataset. Marine Data Archive.","AccessConstraints":null,"UDate":"2022-07-29","CDate":"2022-07-27","CurrencyDate":null,"RevisionDate":null,"DateLastModified":{"date":"2026-05-23 01:39:24.004480","timezone_type":1,"timezone":"+02:00"},"CheckedFlag":0,"PublicFlag":1,"VlizCoreFlag":1,"MarineFlag":null,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"StatusID":1,"DasType":"Data","DasTypeID":1,"DasOrigin":"Research","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":711,"PublicationYear":2022,"DOI":"10.14284/572","Citation":"Praet, N.; Vandorpe T.; Ollevier, A.; Dierssen, H.; Flanders Marine Institute (VLIZ): Belgium; University of Connecticut: USA; (2022): TIMBERS in-situ sensor dataset. 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measurements","DasTheme0":"Optical measurements","DutchTerm":"Optische metingen"},{"DasThemeID":16,"DasTheme":"Water composition > Suspended matter - turbidity","DasTheme0":"Suspended matter - turbidity","DutchTerm":"Zwevende stof - turbiditeit"}],"projects":[{"ProID":5061,"Acronym":"TIMBERS","Progress":"Completed","StandardTitle":"3D Turbidity assessment through Integration of MultiBeam Echo-sounding and optical Remote Sensing","FP7Code":null,"GrantDOI":null,"FunderID":"SR/00/381","FunderIDType":"Other contract id","FunderCodes":["STEREO II (Support to the Exploitation and Research in Earth Observation data)"]}],"refs":[{"0":354251,"BRefID":354251,"1":"Based on this dataset","Relation":"Based on this dataset","2":2,"RelationID":2,"3":"<b>Dierssen, H.M. <i>et al.</i></b> (2022). QWIP: A quantitative metric for quality control of aquatic reflectance spectral shape using the Apparent Visible Wavelength. <i>Front. Remote Sens. 3</i>: 869611. <a href=\"https://dx.doi.org/10.3389/frsen.2022.869611\" target=\"_blank\">https://dx.doi.org/10.3389/frsen.2022.869611</a>","RR":"<b>Dierssen, H.M. <i>et al.</i></b> (2022). QWIP: A quantitative metric for quality control of aquatic reflectance spectral shape using the Apparent Visible Wavelength. <i>Front. Remote Sens. 3</i>: 869611. <a href=\"https://dx.doi.org/10.3389/frsen.2022.869611\" target=\"_blank\">https://dx.doi.org/10.3389/frsen.2022.869611</a>","4":"QWIP: A quantitative metric for quality control of aquatic reflectance spectral shape using the Apparent Visible Wavelength","StT":"QWIP: A quantitative metric for quality control of aquatic reflectance spectral shape using the Apparent Visible Wavelength","5":"Dierssen, H.M.; Vandermeulen, R.A.; Barnes, B.B.; Castagna, A.; Knaeps, E.; Vanhellemont, Q.","RSA":"Dierssen, H.M.; Vandermeulen, R.A.; Barnes, B.B.; Castagna, A.; Knaeps, E.; Vanhellemont, Q.","6":"Gebaseerd op deze dataset","DutchTerm":"Gebaseerd op deze dataset","7":2022,"AnaDate":2022,"8":null,"MonDate":null,"9":". <i>Front. Remote Sens. 3</i>: 869611. <a href=\"https://dx.doi.org/10.3389/frsen.2022.869611\" target=\"_blank\">https://dx.doi.org/10.3389/frsen.2022.869611</a>","":". <i>Front. Remote Sens. 3</i>: 869611. <a href=\"https://dx.doi.org/10.3389/frsen.2022.869611\" target=\"_blank\">https://dx.doi.org/10.3389/frsen.2022.869611</a>","10":"https://dx.doi.org/10.3389/frsen.2022.869611","doi":"https://dx.doi.org/10.3389/frsen.2022.869611"}],"urls":[{"URL":"https://timbers.vito.be/en/context-and-objectives","externalID":null,"URLTypeCode":null,"URLType":"Project home page","URLTypID":9,"downloadURL":null,"FileName":null}],"pictures":null,"urlmaps":null,"spatreps":null,"fileformats":null,"resmessage":"","complete":1}