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    703 EPTO from Central Plateau, North Island, New Zealand

    DOI Info:

    • DOI:10.18728/igb-fred-703.0
    • Citation suggestion: Afroditi Grigoropoulou https://orcid.org/0000-0002-7884-097X, Jonathan Tonkin (2022-05-03 ) EPTO from Central Plateau, North Island, New Zealand. IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. dataset. https://doi.org/10.18728/igb-fred-703.0
    • FRED-datapackage: 654
    Title
    EPTO from Central Plateau, North Island, New Zealand
    Sampling interval
    Irregular Interval
    Description

    Study site: New Zealand. Authors: Jonathan Tonkin.

     

    Contact details:

    Jonathan Tonkin. E-mail: jonathan.tonkin@canterbury.ac.nz. ORCID: https:/orcid.org/0000-0002-6053-291X. Affiliation: University of Canterbury.

     

     

    Study site
    _global
    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 17:09.pdfODC-By Download

    Data files (e.g. excel)

    TitlecreatedFiletypeActions
    EPTO_from_Central_Plateau,_North_Island,_New_Zealand.csv 02. May. 2022 17:09 datatable: .csv Download

    Machine Readable Metadata Files

    Title Upload dateFiletypeLicenseActions
    General_Metadata_EPTO_from_Central_Plateau,_North_Island,_New_Zealand.xml27. May. 2022 16:40xmlODC-By Download
    General_Metadata_EPTO_from_Central_Plateau,_North_Island,_New_Zealand.eml27. May. 2022 16:40emlODC-By Download

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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)