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744 EPT from Mondego river, Portugal

DOI Info:

  • DOI: 10.18728/igb-fred-744.1
  • How to cite: Afroditi Grigoropoulou https://orcid.org/0000-0002-7884-097X, Maria Joao Feio (2022-07-04 ) EPT from Mondego river, Portugal. IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. dataset. https://doi.org/10.18728/igb-fred-744.1
  • Previous DOI version :10.18728/igb-fred-709.0
  • Successor DOI version :10.18728/igb-fred-781.2
    • 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-709.0709
    2022-07-0410.18728/igb-fred-744.1744this package
    2022-11-1510.18728/igb-fred-781.2781 latest

Title
EPT from Mondego river, Portugal
Sampling interval
Irregular Interval
Description

Study site: Portugal. Authors: Maria João Feio. More accurate coordinates available upon communication with the authors.

 

Contact details:

Maria João Feio. E-mail: mjf@ci.uc.pt. ORCID: https:/orcid.org/0000-0003-0362-6802. Affiliation: University of Coimbra, Marine and Environmental Sciences Centre.

 

 

Species Groups
Study site
_global
GeoNode references

GeoNode layers

  • EPT_from_Mondego_river_Portugal
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 17:18.pdfODC-By Download

Data files (e.g. excel)

TitlecreatedFiletypeActions
EPT_from_Mondego_river,_Portugal.csv 04. Jul. 2022 12:34 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 freeODC-ByLicence.

  • EPT_from_Mondego_river,_Portugal.xml
  • EPT_from_Mondego_river,_Portugal.eml

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Parsing data File

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  • preprocessing: means automatic detection of headlines, table body, format values or csv-separators
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  • analyzing: check out for different data types (can be time, numeric or text)