‹ › ×

    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

    765 Behler See

    Title
    Behler See
    Period
    1991-01-01 till 2015-12-31
    Period length
    24 years 11 months 30 days
    Sampling interval
    7 days
    Description

    Behler See in Schleswig Holstein.

    Transparancy and chemical data.

    Herausgeber: WOM e.V. "Wasser Otter Mensch e.V. - Verein für Ökosystemschutz und -nutzung"

    http://www.seen-transparent.de

    Behler See auf Seen Transparent

    Keywords
    Sichttiefe, secchi, Chemie, nutrients
    Study site
    Behler See
    Sampling types
    surface water
    Parameters

    physics:

    secchi depth
    name
    secchi depth
    description

    synonyms
    Sichttiefe, Transparancy
    Contact
    Edith Reck-Mieth
    Licence for data
    All rights reserved. Please send a request to Edith Reck-Mieth if you like to use this data. Mind our data policy: IGB Data Policy

    Data files (e.g. excel)

    TitlecreatedFiletypeActions
    Behler_See.ods 22. Sep. 2022 18:29 datatable: .ods
    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 freeODC-ByLicence.

    • Behler_See.xml
    • Behler_See.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)