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    611 Lake Stechlin phytoplankton 1994-2020

    Title
    Lake Stechlin phytoplankton 1994-2020
    Period
    1994-01-01 till 2020-12-31
    Period length
    26 years 11 months 30 days
    Sampling interval
    14 days Irregular Interval
    Description

    Phytoplankton taxa at Lake Stechlin

    Keywords
    phytoplankton, taxa, species, alga
    Study site
    Lake Stechlin
    Contact
    Sabine Wollrab
    Licence for data
    The data of this work are licensed under:Attribution 4.0 International
    Current doi
    10.18728/igb-fred-824.1
    Publications

    List of all publications related to this package:

    • Kröger, B., Selmeczy, G B., Casper, P., Soininen, J., & Padisák, J. (2023). Long-term phytoplankton community dynamics in Lake Stechlin (north-east Germany) under sudden and heavily accelerating eutrophication. Freshwater Biology, 00, 1– 15. https://doi.org/10.1111/fwb.14060

    Metadata files

    TitleUpload dateFiletypeLicenceActions
    Phytoplankton_Stechlin_1994-2020_FRED_final.pdf11. Mar. 2023 12:35.pdfODC-By Download

    Data files (e.g. excel)

    TitlecreatedFiletypeActions
    Stechlin_phyto_1994_2020_FRED_final.xlsx 11. Mar. 2023 12:38 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.

    • Lake_Stechlin_phytoplankton_1994-2020.xml
    • Lake_Stechlin_phytoplankton_1994-2020.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)