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

938 test something

DOI Info:

  • DOI: 10.5072/938.0
  • How to cite: Simone Frenzel https://orcid.org/4443-4443-4433-0000 (2018-12-03 ) test something. IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. dataset. https://doi.org/10.5072/938.0
  • DOI history

    Date DOI PackageId Note
    2018-12-0310.5072/938.0938this package latest
Title
test something
Time
2018-10-03 00:00:00
Period
2018-10-19 00:00:00 till 2018-10-19 00:00:00
Period length
0
Sampling interval
6 secs Irregular Interval
Species Groups
Study site
Ahlenmoor bei Wanna
Contact
Simone Frenzel
Licence for data
All rights reserved. Please send a request to Simone Frenzel if you like to use this data. Mind our data policy: IGB Data Policy

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.

  • test_something.xml
  • test_something.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)