Tags

Click a tag to remove it from package

Edit Species Groups of Package

Edit Parameter of 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

585 Lake Groß Glienicke temperature chain (with oxygen)

Title
Lake Groß Glienicke temperature chain (with oxygen)
Period
2010-08-12 ongoing
Sampling interval
30 secs
Note on interval
gaps between 10-4-2010 and 4-6-2011 and between 9-6-2015 and 9-23-2015.
Description

Dataset of a temperature chain with 4 to 6 temperature measurements and additionally from 18.06.2019 with 2 to 3 oxygen measurements.

Species Groups
Study site
Groß Glienicker See
Sampling locations
deepest point
location
52.46911612725861, 13.114065527915956
location
type
state
code
description
Contact
Sylvia Jordan
Licence for data
All rights reserved. Please send a request to Sylvia Jordan if you like to use this data. Mind our data policy: IGB Data Policy

Metadata files

TitleUpload dateFiletypeLicenceActions
GGS_T-Messkette_Metadata_de.pdf13. Apr. 2023 17:54.pdfODC-By Download
GGS_T-Chain_Metadata_en.pdf13. Apr. 2023 17:54.pdfODC-By 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 freeODC-ByLicence.

  • Lake_Groß_Glienicke_temperature_chain_(with_oxygen).xml
  • Lake_Groß_Glienicke_temperature_chain_(with_oxygen).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)