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Invasive species - New Zealand pigmyweed (Crassula helmsii) occurrences in Flanders, Belgium

Invasive species - New Zealand pigmyweed (Crassula helmsii) occurrences in Flanders, Belgium is a sampling event dataset published by the Research Institute for Nature and Forest (INBO). It contains information on 274 sampling events with 162 occurrences of invasive New Zealand pigmyweed starting from 2013. This dataset is a subset of a larger vegetation analysis and focuses only on the Crassula helmsii occurrences. Here the dataset is published as a standardized Darwin Core Archive and includes for each event: a stable eventID, date and location of the observation, and a short description of the sampling protocol (in the event core), supplemented with specific information for each occurrence: a stable occurrenceID, the scientific name and higher classification of the observed species, the number of recorded individuals and a reference to the observer of the record (in the occurrence extension). Issues with the dataset can be reported at https://github.com/inbo/data-publication/issues We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the GBIF citation guidelines (https://www.gbif.org/citation-guidelines) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via https://twitter.com/trias_project. This dataset was published as open data for the TrIAS project (Tracking Invasive Alien Species http://trias-project.be, Vanderhoeven et al. 2017), with technical support provided by the Research Institute for Nature and Forest (INBO).

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    Dataset

    Basisinformatie

     
    Titel Invasive species - New Zealand pigmyweed (Crassula helmsii) occurrences in Flanders, Belgium
    Beschrijving Invasive species - New Zealand pigmyweed (Crassula helmsii) occurrences in Flanders, Belgium is a sampling event dataset published by the Research Institute for Nature and Forest (INBO). It contains information on 274 sampling events with 162 occurrences of invasive New Zealand pigmyweed starting from 2013. This dataset is a subset of a larger vegetation analysis and focuses only on the Crassula helmsii occurrences. Here the dataset is published as a standardized Darwin Core Archive and includes for each event: a stable eventID, date and location of the observation, and a short description of the sampling protocol (in the event core), supplemented with specific information for each occurrence: a stable occurrenceID, the scientific name and higher classification of the observed species, the number of recorded individuals and a reference to the observer of the record (in the occurrence extension). Issues with the dataset can be reported at https://github.com/inbo/data-publication/issues We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the GBIF citation guidelines (https://www.gbif.org/citation-guidelines) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via https://twitter.com/trias_project. This dataset was published as open data for the TrIAS project (Tracking Invasive Alien Species http://trias-project.be, Vanderhoeven et al. 2017), with technical support provided by the Research Institute for Nature and Forest (INBO).
    Uitgever
    URI https://www.gbif.org/publisher/1cd669d0-80ea-11de-a9d0-f1765f95f18b#Organization
    Naam Research Institute for Nature and Forest (INBO)
    Trefwoord
    TrIAS |
    Samplingevent |
    Alien species |
    Crassula helmsii |
    New Zealand pigmyweed |
    plants |
    Flanders |
    Belgium
    Statuut Vlaamse Open data
    Thema http://eurovoc.europa.eu/5463
    Identificator https://www.gbif.org/dataset/8854d25e-05f9-48f0-88da-7c413b24f535

    Versie informatie

     
    Wijzigingsdatum 2021-04-14T13:58+02:00

    Gebruiksinformatie

     
    Contactpunt
    Naam Contactpunt Kevin Scheers
    E-mail kevin.scheers@inbo.be
    Bijsluiter https://ipt.inbo.be/resource?r=invasive-crassula-occurrences

    Ruimtelijke en temporele begrenzing

     
    Locatie
    N
    S
    E
    W

    Extra informatie

     
    Taal http://id.loc.gov/vocabulary/iso639-1/en

    Distributies

     
    Distributie
    URI https://ipt.inbo.be/archive.do?r=invasive-crassula-occurrences
    Titel Darwin Core Archive of Invasive species - New Zealand pigmyweed (Crassula helmsii) occurrences in Flanders, Belgium
    Beschrijving Darwin Core Archive
    URL https://ipt.inbo.be/resource?r=invasive-crassula-occurrences
    Download URL https://ipt.inbo.be/archive.do?r=invasive-crassula-occurrences
    Licentie
    URI http://creativecommons.org/publicdomain/zero/1.0/legalcode

    Record

    Catalog record

     
    identificator 66dc9e8c-d23f-3a96-93b9-699d48b86653
    wijzigingsdatum 2022-06-26

    Conformiteit met standaard

     
    titel Dcat-ap-vl
    beschrijving Dit applicatieprofiel beschrijft Open Data Catalogi in Vlaanderen. DCAT-AP Vlaanderen (DCAT-AP VL) is een verdere specialisatie van DCAT-AP. De applicatie waarop dit profiel betrekking heeft is een Open Data Portaal in Vlaanderen. Open Data portalen zijn catalogussen van Open Data datasets. Ze hebben als belangrijkste doelstelling het vindbaar maken van data en hierdoor het hergebruik ervan te stimuleren. Open Data portalen vervullen een centrale rol in de overheidsopdracht om de toegankelijkheid tot overheidsinformatie te realiseren. Met dit applicatieprofiel bevorderen we de uniformiteit van de beschikbare informatie over datasets. Tevens vereenvoudigen we het aggregatie proces van meerdere Open Data Catalogi. Dit document bevat de verplichte elementen en bijkomende elementen waarover DCAT-AP Vlaanderen een uitspraak doet. Aanbevolen en optionele informatie waarvoor geen bijkomende afspraken in de context van DCAT-AP Vlaanderen zijn, zijn niet opgenomen in dit document. Hiervoor verwijzen we naar de DCAT-AP specificatie zelf.

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