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    644 Regional EPTO Data from Li river, Qiantang river, Ertix river, Wei river and Lancang river from NAU Insect Taxonomy and Aquatic Insect lab

    Title
    Regional EPTO Data from Li river, Qiantang river, Ertix river, Wei river and Lancang river from NAU Insect Taxonomy and Aquatic Insect lab
    Description

    Study site: China. Authors: Beixin Wang & Kai Chen.

    Species names and sampling days available upon communication with the authors.

    Contact details: Beixin Wang. E-mail: wangbeixin@njau.edu.cn. ORCID: https://orcid.org/0000-0002-5253-8799. Affiliation: Nanjing Agricultural University.

    Kai Chen. E-mail: ckai2005@gmail.com. ORCID: https://orcid.org/0000-0002-5332-5920. Affiliation: Nanjing Agricultural University.

    Study site
    _global
    GeoNode references

    GeoNode layers

    • Regional_EPTO_Data_from_NAU_Insect_Taxonomy_a
    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-697.0

    Metadata files

    TitleUpload dateFiletypeLicenceActions
    Column_explanation.pdf02. May. 2022 16:25.pdfODC-By Download

    Data files (e.g. excel)

    TitlecreatedFiletypeActions
    Regional_EPTO_Data_from_Li_river,_Qiantang_river,_Ertix_river,_Wei_river_and_Lancang_river_from_NAU_Insect_Taxonomy_and_Aquatic_Insect_lab.csv 02. May. 2022 16:25 datatable: .csv Download

    Machine Readable Metadata Files

    Title Upload dateFiletypeLicenseActions
    General_Metadata_Regional_EPTO_Data_from_Li_river,_Qiantang_river,_Ertix_river,_Wei_river_and_Lancang_river_from_NAU_Insect_Taxonomy_and_Aquatic_Insect_lab.xml27. May. 2022 17:38xmlODC-By Download
    General_Metadata_Regional_EPTO_Data_from_Li_river,_Qiantang_river,_Ertix_river,_Wei_river_and_Lancang_river_from_NAU_Insect_Taxonomy_and_Aquatic_Insect_lab.eml27. May. 2022 17:38emlODC-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)