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    708 Odonata of South America

    DOI Info:

    • DOI:10.18728/igb-fred-708.0
    • Citation suggestion: Afroditi Grigoropoulou https://orcid.org/0000-0002-7884-097X, Marciel Elio Rodrigues (2022-05-03 ) Odonata of South America. IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. dataset. https://doi.org/10.18728/igb-fred-708.0
    • FRED-datapackage: 660
    Title
    Odonata of South America
    Sampling interval
    Irregular Interval
    Description

    Study site: South America. Authors: Marciel Elio Rodrigues. More accurate coordinates available upon communication with the authors.

     

    Contact details:

    Marciel Elio Rodrigues. E-mail: rodrigues.mbio@gmail.com. ORCID: https://orcid.org/0000-0001-8161-6234. Affiliation: Universidade Estadual de Santa Cruz-UESC.

     

    Study site
    _global
    GeoNode references

    GeoNode layers

    • Odonata_of_South_America
    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 17:17.pdfODC-By Download

    Data files (e.g. excel)

    TitlecreatedFiletypeActions
    Odonata_of_South_America.csv 02. May. 2022 17:17 datatable: .csv Download

    Machine Readable Metadata Files

    Title Upload dateFiletypeLicenseActions
    General_Metadata_Odonata_of_South_America.xml27. May. 2022 17:42xmlODC-By Download
    General_Metadata_Odonata_of_South_America.eml27. May. 2022 17:42emlODC-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)