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    730 Macroinvertebrates from Cisnes and Aysen catchments, Chile

    DOI Info:

    • DOI:10.18728/igb-fred-730.1
    • Citation suggestion: Afroditi Grigoropoulou https://orcid.org/0000-0002-7884-097X, Anna Astorga (2022-07-04 ) Macroinvertebrates from Cisnes and Aysen catchments, Chile. IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. dataset. https://doi.org/10.18728/igb-fred-730.1
    • FRED-datapackage: 641
    • Previous DOI version :10.18728/igb-fred-642.0
    Title
    Macroinvertebrates from Cisnes and Aysen catchments, Chile
    Sampling interval
    Irregular Interval
    Description

    Study site: Chile. Authors: Anna Astorga.

    Contact details:

    Anna Astorga. E-mail: aastorga78@gmail.com. ORCID: https:/orcid.org/0000-0003-4600-4384. Affiliation: Centro de Investigacion en Ecosistemas de la Patagonia.

     

     

    Study site
    _global
    GeoNode references

    GeoNode layers

    • Macroinvertebrates_from_Cisnes_and_Aysen_catc
    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 16:12.pdfODC-By Download

    Data files (e.g. excel)

    TitlecreatedFiletypeActions
    Macroinvertebrates_from_Cisnes_and_Aysen_catchments,_Chile.csv 04. Jul. 2022 12:08 datatable: .csv Download

    Machine Readable Metadata Files

    Title Upload dateFiletypeLicenseActions
    General_Metadata_Macroinvertebrates_from_Cisnes_and_Aysen_catchments,_Chile.xml15. Aug. 2022 17:51xmlODC-By Download
    General_Metadata_Macroinvertebrates_from_Cisnes_and_Aysen_catchments,_Chile.eml15. Aug. 2022 17:51emlODC-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)