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    479 ILES Fish

    Title
    ILES Fish
    Period
    2016-01-01 till 2016-12-31
    Period length
    11 mons 30 days
    Sampling interval
    7 days Irregular Interval
    Note on interval
    one large gap in spring because there where no fish!
    Description

    My free text.

    paste here pictures or text.

    Keywords
    some little fish
    Study site
    Lake Stechlin
    Parameters

    physics:

    turbidity
    name
    turbidity
    synonyms
    Trübung
    water temperature
    name
    water temperature
    description

    Wassertemperatur

    synonyms
    water temp, Wassertemperatur

    chemistry:

    electrical conductivity
    name
    electrical conductivity
    synonyms
    elektrische Leitfähigkeit, Salinität, Salzgehalt, Konduktivität, cond
    pH
    name
    pH

    biology:

    chlorophyll a
    name
    chlorophyll a
    description

    Attention: There are two different methods:

    HPLC - High Performance Liquid Chromatography (ex situ)

    YSI - Chlorophyll Sensor in Multiparameter probe (in situ)

    synonyms
    Chlorophyllkonzentration, alpha-chlorophyll
    Contact
    Ulrike Scharfenberger
    Licence for data
    All rights reserved. Please send a request to Ulrike Scharfenberger if you like to use this data. Mind our data policy: IGB Data Policy

    Metadata files

    TitelUpload dateFiletypeLicenceActions
    Metadata_Müggelsee.pdf16. Apr. 2019 16:31.pdfODC-By
    Error: To access file, please get in touch with the contact person.
    General_MetadataILES_Fish.xml22. Aug. 2019 07:38xmlODC-By Download
    General_MetadataILES_Fish.eml22. Aug. 2019 07:38emlODC-By Download

    Data Series

    TitleActions
    demo.csv::
    Error: To access file, please get in touch with the contact person.

    Data files (excel)

    TitelCreateFiletypeActions
    demo.csv 16. Apr. 2019 16:37 datatable: .csv
    Error: To access file, please get in touch with the contact person.

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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)