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    838 Lanker See

    Title
    Lanker See
    Period
    1992-01-01 till 2020-07-02
    Period length
    28 years 6 months 1 day
    Sampling interval
    1 year Irregular Interval
    Description

    Lanker See, Schleswig Holstein

    Herausgeber: WOM e.V. "Wasser Otter Mensch e.V. - Verein für Ökosystemschutz und -nutzung" http://www.seen-transparent.de/

    Lanker See auf Seen-Transparent

    Schwentine river

    Keywords
    schwentine
    Study site
    Lanker See
    Sampling types
    surface water
    Parameters

    physics:

    secchi depth
    name
    secchi depth
    description

    synonyms
    Sichttiefe, Transparancy

    chemistry:

    Ca, calcium
    name
    Ca, calcium
    description

    0,45µm filtrated, inductively coupled plasma optical emission spectrometry (ICP-OES)

    since 2009 with ICP-OES
    before 2009 with AAS

    synonyms
    Kalzium
    C, DOC (dissolved organic carbon)
    name
    C, DOC (dissolved organic carbon)
    description

    0,45µm filtrated,   purging with hydrochloric acid, nondispersive infrared sensor  (NDIR) after combustion

    synonyms
    dissolved organic material (DOM), non-purgeable organic carbon (NPOC)
    electrical conductivity
    name
    electrical conductivity
    description

    determination by conductivity-probe

    synonyms
    elektrische Leitfähigkeit, Salinität, Salzgehalt, Konduktivität, cond
    Mg, magnesium
    name
    Mg, magnesium
    description

    0,45µm filtrated, inductively coupled plasma optical emission spectrometry (ICP-OES)

    synonyms
    Magnesium
    N, ammonia-nitrogen
    name
    N, ammonia-nitrogen
    description

    0,45µm filtrated, photometric determination

    synonyms
    NH4+-N, Ammonium, ammonia, NH4-N, NH4
    N, nitrate-nitrogen
    name
    N, nitrate-nitrogen
    description

    0,45µm filtrated, photometric determination

    synonyms
    NO3-N, NO3--N, nitrate, Nitrat
    N, nitrite-nitrogen
    name
    N, nitrite-nitrogen
    description

    0,45µm filtrated, photometric determination

    synonyms
    Nitrit, nitrite, NO2, NO2-N, NO2--N
    N, total dissolved nitrogen
    name
    N, total dissolved nitrogen
    description

    0,45µm filtrated, nondispersive infrared sensor  (NDIR) after combustion

    synonyms
    Stickstoff gelöst, gesamter gelöster Stickstoff, DN
    N, total nitrogen
    name
    N, total nitrogen
    description

    nondispersive infrared sensor  (NDIR) after combustion

    synonyms
    Gesamtstickstoff
    pH
    name
    pH
    description

    pH-probe determination
    P, phosphorus
    name
    P, phosphorus
    description

    determination with ICP/OES
    P, (total phosphorus)
    name
    P, (total phosphorus)
    description

    photometric determination after digestion

    synonyms
    total phosphorus, gesamter Phosphor
    silicic acid
    name
    silicic acid
    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
    Lanker_See_Secchi_depth.xlsx 03. Jul. 2023 20:15 datatable: .xlsx
    Error: To access file, please get in touch with the contact person.
    Lanker_See_chemistry_1992_-_2020.xlsx 03. Jul. 2023 20:10 datatable: .xlsx
    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.

    • Lanker_See.xml
    • Lanker_See.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)