‹ › ×

    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

    34 Müggelsee fish data

    Title
    Müggelsee fish data
    Period
    2015-04-01 ongoing
    Sampling interval
    1 year
    Keywords
    fish assemblage monitoring, fish abundance, fish biomass, species lists, Mueggelsee, fish
    Study site
    Müggelsee
    Sampling types
    Fish
    Parameters

    biology:

    fish abundance and biomass
    name
    fish abundance and biomass
    Contact
    Thomas Mehner
    Licence for data
    All rights reserved. Please send a request to Thomas Mehner if you like to use this data. Mind our data policy: Lakebase Data Policy

    Metadata files

    TitleUpload dateFiletypeLicenceActions
    Map_Fisheries_Mueggelsee.pdf08. Jan. 2018 12:03.pdfODC-By Download
    Metadata_Description_FishMonitoring_Mueggelsee.pdf08. Jan. 2018 11:57.pdfODC-By Download

    Data files (e.g. excel)

    TitlecreatedFiletypeActions
    Mueggelsee_Upload_FRED.xlsx 20. Dec. 2021 15:54 datatable: .xlsx Download

    Machine Readable Metadata Files

    Title Upload dateFiletypeLicenseActions
    General_Metadata_Müggelsee_fish_data.xml27. May. 2022 23:53xmlODC-By Download
    General_Metadata_Müggelsee_fish_data.eml27. May. 2022 23:53emlODC-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)