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646 EPTO from Hubei province, China

Title
EPTO from Hubei province, China
Description

EPTO from Hubei province, China

 

Study site: China. Authors: Deep Narayan SHAH, Ram Devi Tachamo-Shah and Sonja C. Jähnig. Sampling days available upon communication with the authors.

 

Contact details:

Deep Narayan Shah. E-mail: dnshah@cdes.edu.np. ORCID: https://orcid.org/0000-0001-8436-7560. Affiliation: Central Department of Environmental Science, Tribhuvan University.

Ram Devi Tachamo-Shah. E-mail: ramdevi.shah@ku.edu.np. ORCID: https://orcid.org/0000-0002-1061-2903. Affiliation: Department of Life Sciences, Kathmandu University.

Sonja C. Jähnig. E-mail: Sonja.Jaehnig@igb-berlin.de. ORCID: https:/orcid.org/0000-0002-6349-9561. Affiliation: Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB) & Humboldt-Universität zu Berlin.

 

Abundance information available after communication with the authors.

 

Coordinates of the bounding box (ulx, uly, lrx, lry): 110.7373333333, 40.3630333333, 116.1921333333, 32.47255

Centroid coordinates (x,y): 112.395921,34.855022

Number of records: 446

 

The dataset includes records in areas: 

Not protected on the observation date (0)

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: 636,766

 

 

Taxonomic focus of the study: EPTO

 

Survey methods: Miscellaneous

 

Species Groups
Study site
_global
GeoNode references

GeoNode layers

  • EPTO_from_Hubei_province_China
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-786.2

Metadata files

TitleUpload dateFiletypeLicenceActions
Column_explanation.pdf15. Nov. 2022 13:57.pdf Download

Data files (e.g. excel)

TitlecreatedFiletypeActions
EPTO_from_Hubei_province,_China.csv 15. Nov. 2022 13:57 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_from_Hubei_province,_China.xml
  • EPTO_from_Hubei_province,_China.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)