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

681 EPTO in Chinese streams

Title
EPTO in Chinese streams
Description

EPTO in Chinese streams

 

Study site: China. Authors: Fengzhi He & Qinghua Cai.

 

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.

 

 

Coordinates of the bounding box (ulx, uly, lrx, lry): 99.4022777777778, 40.3630333333333, 117.7515, 25.460583

Centroid coordinates (x,y): 107.275222,29.383597

Number of records: 4062

 

The dataset includes records in areas: 

Not protected on the observation date (0)

Protected on the observation date (1)

Protected on a date following the observation date (2)

using the November 2022 version of the Protected Planet WDPA WD-OECM dataset 

    (Protected Planet: World Database on Protected Areas (WDPA) 

    and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UNEP-WCMC and IUCN, 2022). 

    Please see publication for further information.

 

Freshwater Ecoregions of the World (FEOW, Abell et al., 2008) covered: 636,725,764-766

 

Taxonomic focus of the study: all benthic community

 

Survey methods: Kick net, Surber net, aquatic D-net

 

Species Groups
Study site
_global
GeoNode references

GeoNode layers

  • EPTO_in_Chinese_streams
Contact
Afroditi Grigoropoulou
Licence for data
All rights reserved. Please send a request to Afroditi Grigoropoulou if you like to use this data. Mind our data policy: IGB Data Policy
Current doi
10.18728/igb-fred-810.3

Metadata files

TitleUpload dateFiletypeLicenceActions
Column_explanation.pdf15. Nov. 2022 14:07.pdf Download

Data files (e.g. excel)

TitlecreatedFiletypeActions
EPTO_in_Chinese_streams.csv 15. Nov. 2022 14:07 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)