‹ › ×

    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

    175 Lake Constance Secchi depth, Euphotic depth, Surface irradiance, Turbidity

    Title
    Lake Constance Secchi depth, Euphotic depth, Surface irradiance, Turbidity
    Keywords
    Secchi depth, euphotic depth, surface irradiance, turbidity
    Study site
    Lake Constance
    Contact
    Ursula Gaedke
    Licence for data
    All rights reserved. Please send a request to Ursula Gaedke if you like to use this data. Mind our data policy: Lakebase Data Policy

    Metadata files

    TitleUpload dateFiletypeLicenceActions
    SecchiDepth,_Euphotic_depth_and_Turbidity_documentation_for_Lake_Constance.pdf05. Jul. 2018 14:00.pdfODC-By Download

    Data files (e.g. excel)

    TitlecreatedFiletypeActions
    Dataset3_LakeConstance_Irradiance_DepthResolved.xlsx 05. Jul. 2018 14:00 datatable: .xlsx Download
    Dataset4_LakeConstance_PhotosyntheticallyActiveRadiation_AboveSurface.xlsx 05. Jul. 2018 14:00 datatable: .xlsx Download
    Dataset1_LakeConstance_SecchiDepth.xlsx 05. Jul. 2018 14:00 datatable: .xlsx Download
    Dataset2_LakeConstance_EuphoticZone.xlsx 05. Jul. 2018 14:00 datatable: .xlsx 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_Constance_Secchi_depth,_Euphotic_depth,_Surface_irradiance,_Turbidity.xml
    • Lake_Constance_Secchi_depth,_Euphotic_depth,_Surface_irradiance,_Turbidity.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)