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

401 Flakenfließ, Brücke in Erkner S66

Title
Flakenfließ, Brücke in Erkner S66
Period
2015-06-02 ongoing
Species Groups
Study site
Spree
Sampling locations
Flakenfließ, Brücke in Erkner
location
52.42698492174439, 13.754775524139406
location
type
running water / brook (Bach)
state
code
S66
description
Contact
Thomas Rossoll
Licence for data
All rights reserved. Please send a request to Thomas Rossoll if you like to use this data. Mind our data policy: IGB Data Policy
Project
Spree; Quelle bis Mündung

Data files (e.g. excel)

TitlecreatedFiletypeActions
S66_water_chemistry.xlsx 08. Feb. 2021 16:04 datatable: .xlsx
Error: To access file, please get in touch with the contact person.

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.

  • _Flakenfließ,_Brücke_in_Erkner__S66.xml
  • _Flakenfließ,_Brücke_in_Erkner__S66.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)