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698 EPT Ecuador

DOI Info:

  • DOI: 10.18728/igb-fred-698.0
  • How to cite: 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
  • Successor DOI version :10.18728/igb-fred-734.1
  • This Data has been updated! You will be redirected to the latest version within a few seconds. Press STOP to stay on this specific version.

    DOI history

    Date DOI PackageId Note
    2022-05-0310.18728/igb-fred-698.0698this package
    2022-07-0410.18728/igb-fred-734.1734
    2022-11-1510.18728/igb-fred-784.2784
    2023-01-1210.18728/igb-fred-809.3809 latest
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.

Species Groups
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

FRED provides all metadata of this package in a maschine readable format. There is a pure XML file and one EML file in Ecological Metadata Language. Both files are published under the free CC BY 4.0 Licence.

  • EPT_Ecuador.xml
  • EPT_Ecuador.eml

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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)