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    737 EPT of Mato Grosso do Sul

    DOI Info:

    • DOI: 10.18728/igb-fred-737.1
    • Citation suggestion: Afroditi Grigoropoulou https://orcid.org/0000-0002-7884-097X, Francisco Valente Neto, Fabio de Oliveira Roque (2022-07-04 ) EPT of Mato Grosso do Sul. IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. dataset. https://doi.org/10.18728/igb-fred-737.1
    • Previous DOI version :10.18728/igb-fred-701.0
    • Successor DOI version :10.18728/igb-fred-782.2
    • This Data has been updated! You will be redirected to the latest version within a few seconds. Press STOP to stay on this specific version.

      DOI history

      Date DOI PackageId Note
      2022-05-0310.18728/igb-fred-701.0701
      2022-07-0410.18728/igb-fred-737.1737this package
      2022-11-1510.18728/igb-fred-782.2782 latest
    Title
    EPT of Mato Grosso do Sul
    Sampling interval
    Irregular Interval
    Description

    Study site: Brazil. Authors: Francisco Valente Neto & Fabio de Oliveira Roque.

     

    Contact details:

    Francisco Valente Neto. E-mail: fvalenteneto@gmail.com. ORCID: https:/orcid.org/0000-0002-5298-3753. Affiliation: UFMS.

    Fabio De Oliveira Roque. E-mail: fvalenteneto@gmail.com. ORCID: https:/orcid.org/0000-0002-5298-3753. Affiliation: UFMS.

     

    Study site
    _global
    GeoNode references

    GeoNode layers

    • EPT_of_Mato_Grosso_do_Sul
    Contact
    Afroditi Grigoropoulou
    Licence for data
    This data are made available under the Open Database License:Open Data Commons Attribution License

    Metadata files

    TitleUpload dateFiletypeLicenceActions
    Column_explanation.pdf02. May. 2022 17:04.pdfODC-By Download

    Data files (e.g. excel)

    TitlecreatedFiletypeActions
    EPT_of_Mato_Grosso_do_Sul.csv 04. Jul. 2022 12:20 datatable: .csv Download

    Machine Readable Metadata Files

    FRED provides all metadata of this package in a maschine readable format. There is a pure XML file and one EML file in Ecological Metadata Language. Both files are published under the freeODC-ByLicence.

    • EPT_of_Mato_Grosso_do_Sul.xml
    • EPT_of_Mato_Grosso_do_Sul.eml

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    Parsing data File

    Estimated Time:

    Why does it take so much time?

    While parsing a file, the database has to perform various tasks, some of them needs a lot of CPU and memory for larger files.

    • preprocessing: means automatic detection of headlines, table body, format values or csv-separators
    • copying: means read the file cell by cell and copy all elements to the database. During this format settings can be calculated (for example iso-time)
    • analyzing: check out for different data types (can be time, numeric or text)