‹ › ×

    FRED
    • Contact
    • GDPR policy
    • Imprint
    • About
    • Sign Up
    • Login
    • SEARCH
    • Search and find
    • Packages
    • Map
    • By Category ...
      • Study sites
      • Sampling sites
      • Parameters
      • Sampling types
      • Species groups
      • Current DOIs

    698 EPT Ecuador

    DOI Info:

    • DOI:10.18728/igb-fred-698.0
    • Citation suggestion: Afroditi Grigoropoulou https://orcid.org/0000-0002-7884-097X, Blanca Rios-Touma, Ralph Holzenthal (2022-05-03 ) EPT Ecuador. IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. dataset. https://doi.org/10.18728/igb-fred-698.0
    • FRED-datapackage: 645
    Title
    EPT Ecuador
    Sampling interval
    Irregular Interval
    Description

    Study site: Ecuador, various locations. Authors: Blanca Rios-Touma & Ralph Holzenthal.

    Contact details:

    Blanca Rios-Touma. E-mail: blanca.rios@udla.edu.ec. ORCID: https://orcid.org/0000-0002-3921-0908. Affiliation: Universidad de Las Américas, Ecuador.

    Ralph Holzenthal. E-mail: holze001@umn.edu. ORCID: https://orcid.org/0000-0003-1853-6340. Affiliation: University of Minnesota Insect Collection.

    Study site
    _global
    GeoNode references

    GeoNode layers

    • EPT_Ecuador
    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 16:27.pdfODC-By Download

    Data files (e.g. excel)

    TitlecreatedFiletypeActions
    EPT_Ecuador.csv 02. May. 2022 16:27 datatable: .csv Download

    Machine Readable Metadata Files

    Title Upload dateFiletypeLicenseActions
    General_Metadata_EPT_Ecuador.xml27. May. 2022 17:02xmlODC-By Download
    General_Metadata_EPT_Ecuador.eml27. May. 2022 17:02emlODC-By Download

    You are about to leaving FRED and visting a third party website. We are not responsible for the content or availability of linked sites.

    To remain on our site, click Cancel.

    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)