‹ › ×

    FRED
    • Contact
    • GDPR policy
    • Imprint
    • About
    • Sign Up
    • Login
    • SEARCH
    • Search and find
    • Packages
    • Map
    • By Category ...
      • Study sites
      • Sampling sites
      • Parameters
      • Sampling types
      • Species groups
      • Current DOIs

    585 GGS temperature chain (with oxygen)

    Title
    GGS 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.

    Keywords
    temperature chain, temperature logger, oxygen logger, longterm monitoring
    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-Chain_Metadata_de.pdf15. Nov. 2021 16:56.pdfODC-By Download
    GGS_T-Chain_Metadata_en.pdf15. Nov. 2021 16:48.pdfODC-By Download

    Machine Readable Metadata Files

    Title Upload dateFiletypeLicenseActions
    General_Metadata_GGS_temperature_chain_(with_oxygen).xml02. Oct. 2022 00:05xmlODC-By Download
    General_Metadata_GGS_temperature_chain_(with_oxygen).eml02. Oct. 2022 00:05emlODC-By Download

    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)