{"datasetrec":{"DasID":8992,"Acronym":null,"StandardTitle":"Romanian Black Sea Phytoplankton data from 2006 to 2015","OrigTitle":null,"OrigTitleLangID":null,"OrigTitleLangCode":null,"OrigTitleLang":null,"OrigTitleLangNL":null,"VersionName":null,"ContactEmail":null,"VersionDate":"Jan 26 2026 12:00AM","VersionDay":null,"VersionMonth":null,"VersionYear":null,"SizeReference":null,"EngAbstract":"

The dataset comprises phytoplankton observations from the Black Sea collected between 2006 and 2015 and processed by Boicenco L., Iordan M., Pantea E., Vlas O., and Voicu I. Sampling was conducted in Romanian coastal waters, ranging from shallow nearshore areas to the continental shelf, along several transects including Sulina, Mila 9, Porti\u021ba, and Sf\u00e2ntu Gheorghe (northern region) as well as Constan\u021ba, Mangalia, and Vama Veche (southern region). Samples were obtained at standard depths using Niskin bottles, with 500 ml collected from each depth. Phytoplankton species were identified and counted from subsamples using an inverted microscope, and the total abundance and biomass of each species were calculated.<\/p>","EngDescr":"

  1. This dataset was compiled from a historical collection of phytoplankton datasheets that served as standardized protocols for phytoplankton sampling and analysis. The datasheets include metadata (sampling transect, station number, geographic coordinates, sampling depth, sampling date, name of the researcher who processed the sample, etc.), calculation formulas, and phytoplankton data (species identification, cells counted, total abundance, and biomass).<\/li>
  2. Samples were concentrated by sedimentation and surface water removal following the standard sedimentation technique (Morozova-Vodianitkaia, 1954; Moncheva & Parr, 2010). After measuring the volume of the concentrated sample, a 0.1 ml subsample was transferred to a counting chamber and analysed under an inverted microscope for species identification and cell counting. Phytoplankton abundance per litre was calculated using the equation N = V1\/V2 \u00d7 n \u00d7 2, where N is the number of cells per litre, V1 is the volume of the concentrated sample, V2 is the subsample volume, n is the number of cells counted, and 2 is the multiplication factor (Morozova-Vodianitkaia, 1948; Bodeanu, 1987\u20131988). Phytoplankton biomass was determined based on morphometric measurements, calculated by multiplying species abundance by average wet weight values derived from reference tables developed by Morozova-Vodni\u021bkaia (1948, 1954) and Pi\u021b\u00eek (1950), later modified and updated by Bodeanu and Ru\u021b\u0103 (1995).<\/li><\/ol>","OrigAbstract":null,"OrigDescr":null,"Comments":null,"ReleaseDate":"Jan 26 2026 12:00AM","ReleaseDate0":"2026-01-26","OrigDescrLang":null,"EmbargoDate":null,"OrigDescrLangNL":null,"OrigLangCode":null,"OrigLangCodeExtended":null,"OrigLangID":null,"DescrCompFlag":null,"DescrTransFlag":null,"Citation":"Boicenco, Laura; Pantea, Elena; Vlas, Oana; Iordan, Monica; National Institute for Marine Research and Development \"Grigore Antipa\" (NIMRD), Romania; (2026). Romanian Black Sea Phytoplankton data from 2006 to 2015.","AccessConstraints":null,"UDate":"2026-01-26","CDate":"2026-01-26","CurrencyDate":null,"RevisionDate":null,"DateLastModified":{"date":"2026-04-07 10:24:55.147000","timezone_type":1,"timezone":"+00:00"},"CheckedFlag":0,"PublicFlag":1,"VlizCoreFlag":1,"MarineFlag":1,"FreshFlag":null,"BrackishFlag":null,"TerrestrialFlag":null,"StatusID":1,"DasType":"Data","DasTypeID":1,"DasOrigin":"Monitoring: field survey","Progress":"Completed","AccessConstraint":"Attribution-NonCommercial (CC BY-NC)","AccConstrEN":"Attribution-NonCommercial (CC BY-NC)","AccConstrDisplay":"\"Creative<\/a> This dataset is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License<\/a>.","License":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0","AccConstrDescription":"This license lets others remix, tweak, and build upon your work non-commercially, and although their new works must also acknowledge you and be non-commercial, they don\u2019t have to license their derivative works on the same terms","Lineage":null,"AccConID":24},"dois":null,"spcols":[{"SpColID":619,"SpName":"available through EurOBIS"},{"SpColID":552,"SpName":"EMODNET"}],"keywords":[{"ThesaurusTerm":"Bio-geographical regions","ThesTypID":7,"ThesType":"INSPIRE themes","Code":"br","Description":"Areas of relatively homogeneous ecological conditions with common characteristics.","OrigThesTerm":"Bio-geographical regions","DutchTerm":"Biogeografische gebieden","URI":"https:\/\/inspire.ec.europa.eu\/theme\/br","DasKeywordDescr":null},{"ThesaurusTerm":"Biota","ThesTypID":1,"ThesType":"ASFA Thesaurus List","Code":"c_930","Description":null,"OrigThesTerm":"Biota","DutchTerm":"Biota","URI":"http:\/\/aims.fao.org\/aos\/agrovoc\/c_930","DasKeywordDescr":null},{"ThesaurusTerm":"Geoscientific Information","ThesTypID":16,"ThesType":"INSPIRE Topics","Code":"geoscientificInformation","Description":"Information pertaining to earth sciences.","OrigThesTerm":"Geoscientific Information","DutchTerm":"Geowetenschappelijke informatie","URI":"https:\/\/inspire.ec.europa.eu\/metadata-codelist\/TopicCategory\/geoscientificInformation","DasKeywordDescr":null},{"ThesaurusTerm":"Habitats and biotopes","ThesTypID":7,"ThesType":"INSPIRE themes","Code":"hb","Description":"Geographical areas characterised by specific ecological conditions, processes, structure, and (life support) functions that physically support the organisms that live there. 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