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    635 Mongolian Aquatic Insect Survey (MAIS)

    Title
    Mongolian Aquatic Insect Survey (MAIS)
    Description

    Study site: Mongolia. Authors: Alain Maasri.

    Contact details:

    Alain Maasri. E-mail: alainmaasri@gmail.com. ORCID: https://orcid.org/0000-0003-1236-8374. Affiliation: Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany AND The Academy of Natural Sciences of Drexel University, Philadelphia, Pennsylvania, USA.

    We thank the PIs Jon Gelhaus, Barbara Hayford, Riley Nielson and John Morse, and Boloroo Erdenee, Suvdtsetseg Chuluunbat and Oyunchuluun Yadamsuren from Mongolia, who were instrumental in getting the MAIS data sampled and identified.

    Study site
    _global
    GeoNode references

    GeoNode layers

    • Mongolian_Aquatic_Insect_Survey__MAIS_
    Contact
    Afroditi Grigoropoulou
    Licence for data
    This data are made available under the Open Database License:Open Data Commons Attribution License
    Current doi
    10.18728/igb-fred-637.1

    Metadata files

    TitleUpload dateFiletypeLicenceActions
    Column_explanation.pdf02. May. 2022 15:50.pdfODC-By Download

    Data files (e.g. excel)

    TitlecreatedFiletypeActions
    Mongolian_Aquatic_Insect_Survey_(MAIS).csv 02. May. 2022 15:50 datatable: .csv Download

    Machine Readable Metadata Files

    Title Upload dateFiletypeLicenseActions
    General_Metadata_Mongolian_Aquatic_Insect_Survey_(MAIS).xml27. May. 2022 17:23xmlODC-By Download
    General_Metadata_Mongolian_Aquatic_Insect_Survey_(MAIS).eml27. May. 2022 17:23emlODC-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)