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    170 Flakensee insitu

    Title
    Flakensee insitu
    Period
    1992-04-30 till 2002-12-03
    Period length
    10 years 7 months 3 days
    Sampling interval
    14 days
    Study site
    Flakensee
    Sampling locations
    Flakensee
    location
    52.43409, 13.76256
    location
    code
    231
    description
    Parameters

    physics:

    secchi depth
    name
    secchi depth
    description

    synonyms
    Sichttiefe, Transparancy
    water temperature
    name
    water temperature
    description

    determination by temperature-probe

    synonyms
    water temp, Wassertemperatur

    chemistry:

    electrical conductivity
    name
    electrical conductivity
    description

    determination by conductivity-probe

    synonyms
    elektrische Leitfähigkeit, Salinität, Salzgehalt, Konduktivität, cond
    O, oxygen concentration
    name
    O, oxygen concentration
    description

    determination by oxygen-probe

    synonyms
    Sauerstoffkonzentration
    O, oxygen saturation
    name
    O, oxygen saturation
    description

    determination by oxygen-probe

    synonyms
    Sauerstoffsättigung
    pH
    name
    pH
    description

    pH-probe determination

    Contact
    Thomas Hintze
    Licence for data
    All rights reserved. Please send a request to Thomas Hintze if you like to use this data. Mind our data policy: IGB Data Policy

    Data files (e.g. excel)

    TitlecreatedFiletypeActions
    231-Flakensee.csv 12. Jun. 2018 12:42 datatable: .csv 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.

    • Flakensee_insitu.xml
    • Flakensee_insitu.eml

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    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)