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    43 Biodiversity sampling Collrunge (Makrophytes, Amphibians, Fish, Dragonflies, Damselflies, Waterfowl, Makrozoobenthos, Songbirds, Riparian vegetation)

    Title
    Biodiversity sampling Collrunge (Makrophytes, Amphibians, Fish, Dragonflies, Damselflies, Waterfowl, Makrozoobenthos, Songbirds, Riparian vegetation)
    Period
    2016-07-15 till 2017-07-30
    Period length
    1 year 15 days
    Sampling interval
    Irregular Interval
    Note on interval
    several samplings
    Description

    Amphibian sampling was conducted 3 times per lake and with two methods: Funel traps over night and riparian search at day

     

    BAGGERSEE

    Keywords
    biodiversity, sampling, MZB
    Study site
    Collrunge
    Sampling locations
    Trap 1
    location
    53.501977, 7.684032
    location
    code
    COL_R1
    description

    Amphibian sampling was conducted 3 times per lake and with two methods: Funel traps over night and riparian search at day

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

    Data files (e.g. excel)

    TitlecreatedFiletypeActions
    Amphibien_COL_test.xlsx 01. Mar. 2018 11:15 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.

    • Biodiversity_sampling_Collrunge_(Makrophytes,_Amphibians,_Fish,_Dragonflies,_Damselflies,_Waterfowl,_Makrozoobenthos,_Songbirds,_Riparian_vegetation).xml
    • Biodiversity_sampling_Collrunge_(Makrophytes,_Amphibians,_Fish,_Dragonflies,_Damselflies,_Waterfowl,_Makrozoobenthos,_Songbirds,_Riparian_vegetation).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)