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    805 Response of cyanobacterial mats to ambient phosphate fluctuations: phosphorus cycling, polyphosphate accumulation and stoichiometric flexibility

    DOI Info:

    • DOI: 10.18728/igb-fred-805.0
    • Citation suggestion: Tobias Goldhammer (2022-12-13 ) Response of cyanobacterial mats to ambient phosphate fluctuations: phosphorus cycling, polyphosphate accumulation and stoichiometric flexibility. IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. dataset. https://doi.org/10.18728/igb-fred-805.0

      • DOI history

      Date DOI PackageId Note
      2022-12-1310.18728/igb-fred-805.0805this package latest
    Title
    Response of cyanobacterial mats to ambient phosphate fluctuations: phosphorus cycling, polyphosphate accumulation and stoichiometric flexibility
    Sampling interval
    Irregular Interval
    Description

    Accessory data to the manuscript "Response of cyanobacterial mats to ambient phosphate fluctuations: phosphorus cycling, polyphosphate accumulation and stoichiometric flexibility" by Laura Jentzsch, Hans-Peter Grossart, Sascha Plewe, Dirk Schulze-Makuch, Tobias Goldhammer

    Keywords
    Cyanobacteria, nutrient cycling, Polyphosphate, phosphorus
    Study site
    Leibniz Institute of Freshwater Ecology and Inland Fisheries
    Contact
    Tobias Goldhammer, Laura Jentzsch
    Licence for data
    This data are made available under the Open Database License:Open Data Commons Attribution License

    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.

    • Response_of_cyanobacterial_mats_to_ambient_phosphate_fluctuations:__phosphorus_cycling,_polyphosphate_accumulation_and_stoichiometric_flexibility.xml
    • Response_of_cyanobacterial_mats_to_ambient_phosphate_fluctuations:__phosphorus_cycling,_polyphosphate_accumulation_and_stoichiometric_flexibility.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)