Tags


Click a tag to remove it from package

Edit Species Groups of Package

Edit Parameter of Package

Edit DOI Package

Choose a project for this package

FRED
  • Contact
  • GDPR policy
  • Imprint
  • About
  • Sign Up
  • Login
  • SEARCH
  • Search and find
  • Packages
  • Map
  • By Category ...
    • Study sites
    • Sampling locations
    • Parameters
    • Sampling types
    • Species groups
    • Current DOIs

752 EPTO in Chinese streams

DOI Info:

  • DOI: 10.18728/igb-fred-752.1
  • How to cite: Afroditi Grigoropoulou https://orcid.org/0000-0002-7884-097X, Fengzhi He, Qinghua Cai (2022-07-04 ) EPTO in Chinese streams. IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. dataset. https://doi.org/10.18728/igb-fred-752.1
  • Previous DOI version :10.18728/igb-fred-717.0
  • Successor DOI version :10.18728/igb-fred-788.2
  • 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-717.0717
    2022-07-0410.18728/igb-fred-752.1752this package
    2022-11-1510.18728/igb-fred-788.2788
    2023-01-1210.18728/igb-fred-810.3810 latest
Title
EPTO in Chinese streams
Sampling interval
Irregular Interval
Description

Study site: China. Authors: Fengzhi He & Qinghua Cai. Sampling days available upon communication with the authors.

 

Contact details:

Fengzhi He. E-mail: fengzhi.he@igb-berlin.de. ORCID: https:/orcid.org/0000-0002-7594-8205. Affiliation: Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB).

Qinghua Cai.   Affiliation: State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China. University of Chinese Academy of Sciences, Beijing, 100049, China.

 

Species Groups
Study site
_global
GeoNode references

GeoNode layers

  • EPTO_in_Chinese_streams
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 18:53.pdfODC-By Download

Data files (e.g. excel)

TitlecreatedFiletypeActions
EPTO_in_Chinese_streams.csv 04. Jul. 2022 12:58 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.

  • EPTO_in_Chinese_streams.xml
  • EPTO_in_Chinese_streams.eml

You are about to leaving FRED and visting a third party website. We are not responsible for the content or availability of linked sites.

To remain on our site, click Cancel.

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)