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741 Eastern Amazon EPTO

DOI Info:

  • DOI: 10.18728/igb-fred-741.1
  • How to cite: Afroditi Grigoropoulou https://orcid.org/0000-0002-7884-097X, Leandro Juen, Ana Paula Justino Faria (2022-07-04 ) Eastern Amazon EPTO. IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. dataset. https://doi.org/10.18728/igb-fred-741.1
  • Previous DOI version :10.18728/igb-fred-706.0
  • Successor DOI version :10.18728/igb-fred-776.2
  • 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-706.0706
    2022-07-0410.18728/igb-fred-741.1741this package
    2022-11-1510.18728/igb-fred-776.2776 latest
Title
Eastern Amazon EPTO
Sampling interval
Irregular Interval
Description

Study site: Eastern Amazon. Authors: Leandro Juen & Ana Paula Justino Faria. Species names and sampling days available upon communication with the authors.

 

Contact details:

Leandro Juen. E-mail: leandrojuen@gmail.com. ORCID: https:/orcid.org/0000-0002-6188-4386. Affiliation: Universidade Federal do Pará.

Ana Paula Justino Faria. E-mail: anafariaecol@gmail.com. ORCID: https:/orcid.org/0000-0003-2729-5358. Affiliation: Universidade Federal do Pará.

 

Species Groups
Study site
_global
GeoNode references

GeoNode layers

  • Eastern_Amazon_EPTO
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 17:12.pdfODC-By Download

Data files (e.g. excel)

TitlecreatedFiletypeActions
Eastern_Amazon_EPTO.csv 04. Jul. 2022 12:24 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.

  • Eastern_Amazon_EPTO.xml
  • Eastern_Amazon_EPTO.eml

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Parsing data File

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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
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  • analyzing: check out for different data types (can be time, numeric or text)