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    596 Lake Stechlin ice observations 1998-2020

    DOI Info:

    • DOI: 10.18728/igb-fred-596.0
    • Citation suggestion: Silke Schmidt (2021-11-24 ) Lake Stechlin ice observations 1998-2020. IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. dataset. https://doi.org/10.18728/igb-fred-596.0
    • DOI history

      Date DOI PackageId Note
      2021-11-2410.18728/igb-fred-596.0596this package latest
    Title
    Lake Stechlin ice observations 1998-2020
    Period
    1998-01-01 till 2020-03-31
    Period length
    22 years 2 months 30 days
    Sampling interval
    Irregular Interval
    Note on interval
    gaps from 2002-2008
    Description

    Ice observations at Lake Stechlin including percentage of ice cover, percentage of snow cover on ice, ice thickness and snow thickness in the years 1998-2020.

    Keywords
    ice, ice cover, ice thickness, snow cover, snow thickness
    Study site
    Lake Stechlin
    Contact
    Sabine Wollrab
    Licence for data
    All rights reserved. Please send a request to Sabine Wollrab if you like to use this data. Mind our data policy: IGB Data Policy

    Metadata files

    TitleUpload dateFiletypeLicenceActions
    Eis_Metadata_1998-2020_Stechlin.pdf24. Nov. 2021 13:45.pdfODC-By Download

    Data files (e.g. excel)

    TitlecreatedFiletypeActions
    Eis_Stechlin_1998-2020.csv 24. Nov. 2021 13:46 datatable: .csv
    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.

    • Lake_Stechlin_ice_observations_1998-2020.xml
    • Lake_Stechlin_ice_observations_1998-2020.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)