‹ › ×

    FRED
    • Contact
    • GDPR policy
    • Imprint
    • About
    • Sign Up
    • Login
    • Data
    • Study sites
    • Sampling sites
    • Parameters
    • Sampling types
    • Map
    • Current DOIs

    501 Lake Constance Carbon and Phosphorus Flows

    DOI Info:

    • DOI:10.18728/501.0
    • Citation suggestion: Ursula Gaedke (2019-10-09 ) Lake Constance Carbon and Phosphorus Flows. IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. dataset. https://doi.org/10.18728/501.0
    • FRED-datapackage: 470
    Title
    Lake Constance Carbon and Phosphorus Flows
    Sampling interval
    Irregular Interval
    Study site
    Lake Constance
    Parameters

    functional group:

    functional group
    name
    functional group

    season:

    seasonal phase
    name
    seasonal phase
    Contact
    Ursula Gaedke
    Licence for data
    This data are made available under the Open Database License:Open Data Commons Attribution License

    Metadata files

    TitelUpload dateFiletypeLicenceActions
    MassbalancedFlowNetworks_for_Lake_Constance.pdf09. Oct. 2019 12:14.pdfODC-By Download
    General_MetadataLake_Constance_Carbon_and_Phosphorus_Flows.xml02. Jun. 2020 22:11xmlODC-By Download
    General_MetadataLake_Constance_Carbon_and_Phosphorus_Flows.eml02. Jun. 2020 22:11emlODC-By Download

    Data files (excel)

    TitelCreateFiletypeActions
    Dataset1_LakeConstance_MassBalancedFlows_Carbon_DepthIntegrated.xlsx 09. Oct. 2019 12:15 datatable: .xlsx Download
    Dataset2_LakeConstance_MassBalancedFlows_Phosphorus_DepthIntegrated.xlsx 09. Oct. 2019 12:15 datatable: .xlsx 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)