@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00802074v1> a dcat:Dataset ;
    dct:description """
              Background: The Bay of Marseilles is under the influence of a large urban concentration and its maritime activities. All of them discharge compounds (hydrocarbons, excess nutrients, heavy metals, chemicals, etc.) that can alter the marine ecosystem. To investigate whether ultraphyto- plankton ( , 10 m m) could be used as biosensors for their own ecosystem, a 2-year survey was conducted in the Bay of Marseilles. Methods: Seven stations monitored water mass and po- tential anthropic effects in the bay. Seawater samples were collected monthly or bimonthly at three depths, prefiltered, fixed, and kept in liquid nitrogen until flow cytometric analysis. Results: Five categories were created: Prochlorococcus, picoeukaryotes ( , 2 m m), nanoeukaryotes I (2- 6 m m), nanoeukaryotes II (6 -10 m m), and Synechococcus ( , 1.5 m m). Artificial neural network analysis (Kohonen self-or- ganizing maps) produced the same number of clusters as cluster analysis with Winlist software (Verity Software House). Conclusions: In addition to the wide variabilities in abun- dance and biomass, there were a strong seasonal signal and sporadic events. Lessons are derived from this study for future monitoring of marine microorganisms. Cytometry 44:247-256, 2001. © 2001 Wiley-Liss, Inc.
            """ ;
    dct:identifier "hal-00802074" ;
    dct:issued "2026-05-12T08:14:47.888304"^^xsd:dateTime ;
    dct:language "en" ;
    dct:modified "2026-05-12T08:14:47.888310"^^xsd:dateTime ;
    dct:publisher <https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> ;
    dct:title "Phytoplankton group dynamics in the Bay of Marseilles during a 2-year survey based on analytical flow cytometry" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "CCSD" ] ;
    dcat:distribution <https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00802074v1/resource/346f3a3c-86c1-42b5-9946-e5d5454d2091> ;
    dcat:keyword "artificial-neural-network-analysis",
        "coastal-waters",
        "flow-cytometry",
        "infoeu-reposemanticsarticle",
        "journal-articles",
        "microorganism-monitoring",
        "sduoceansciences-of-the-universe-physicsocean-atmosphere" ;
    dcat:landingPage <ISSN:%200196-4763> .

<ISSN:%200196-4763> a foaf:Document .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00802074v1/resource/346f3a3c-86c1-42b5-9946-e5d5454d2091> a dcat:Distribution ;
    dct:format "HTML" ;
    dct:issued "2026-05-12T08:14:47.916298"^^xsd:dateTime ;
    dct:modified "2026-05-12T08:14:47.851744"^^xsd:dateTime ;
    dct:title "Phytoplankton group dynamics in the Bay of Marseilles during a 2-year survey based on analytical flow cytometry" ;
    dcat:accessURL <https://hal.science/hal-00802074> .

<https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> a foaf:Agent ;
    foaf:name "test_moissonnage_selune" .