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    553 Trace organics and dissolved organic matter - study at "Rechter Randgraben"

    Title
    Trace organics and dissolved organic matter - study at "Rechter Randgraben"
    Period
    2018-09-21 till 2018-10-04
    Period length
    13 days
    Note on interval
    sunny during day time
    Description

    This data set is related to the manuscript "Simultaneous attenuation of trace organic compounds and organic matter in streams: Comparison of surface water and the hyporheic zone", currently under review at Scientific Reports. For further information, contact Birgit M. Mueller (b.mueller@igb-berlin.de).

    Data from a field sampling campaign at two study sites at the "Rechter Randgraben", a side channel of the River Erpe (also called Neuenhagener Mühlenfließ) in September-October 2018.

    Upstream site located at: 52.479659 N, 13.635827 E

    Downstream site located at: 52.476437 N, 13.625765 E

    baro = ambient air

    SWup = surface water at upstream site

    SWdown = surface water at downstream site

    PWdown = pore water ini 25 cm sediment depth at downstream site (three measuring spots 1,2 and 3 with horizontal distance of 2 m along flow direction)

    File

    Parameter Where Description
    TrOCs_DOM_hydrology_data.csv

    air / water pressure,
    air / water temperature, electrical conductivity in surface and pore water

    SWdown
    SWup, SWdown, PWdown
    SWup, SWdown, PWdown

    measured with CTD divers (Van Essen Instruments B.V., Netherlands)
    TrOCs_DOM_chemistry_data.csv NH4+, NO3-, DOC, SO42-, FE2+, Mn4+, 17 pharmaceuticals, 7 dissolved organic matter compound classes SWup, SWdown, PWdown surface water samples taken with automatic water sampler (SWup), with tube fixed in water column (SWdown) or with steel sampling rods (PWdown)
    TrOCs_DOM_runoff_data.csv channel width, depth and total area, mean flow velocity, discharge SWdown Measured with MF pro, OTT Hydromet, Loveland, USA
    TrOCs_DOM_sediment_data.csv Sediment characterization: hydraulic conductivity, grain size distribution, thermal properties Sediment of river bed at downstream site Three sediment cores were taken, hydraulic conductivity measured with KSAT device (Meter Group, United States), thermal properties with KD2 Pro (Decagon Devices Inc., Pullman, WA, USA)
    Keywords
    trace organic contaminants, dissolved organic matter, FT-ICR, surface water, pore water, hyporheic zone attenuation, bioavailability, temperature, electrical conductivity, discharge, water quality
    Study site
    Neuenhagener Mühlenfließ ( Erpe ), Einzugsgebiet
    Sampling types
    surface water, pore water
    Sampling locations
    Rechter Randgraben
    location
    52.47638136645868, 13.625664710998535
    location
    type
    side channel of River Erpe
    state
    Brandenburg
    code
    description
    Contact
    Birgit Maria Müller, Jörg Lewandowski
    Licence for data
    This data are made available under the Open Database License:Open Data Commons Attribution License
    Current doi
    10.18728/556.0
    Publications

    List of all publications related to this package:

    • Mueller, B. M., Schulz, H., Danczak, R. E., Putschew, A., & Lewandowski, J. (2021), Simultaneous attenuation of trace organics and change in organic matter composition in the hyporheic zone of urban streams. Scientific Reports, 11(1), 4179. doi:10.1038/s41598-021-83750-8

    Data files (e.g. excel)

    TitlecreatedFiletypeActions
    TrOCs_DOM_sediment_data.csv 02. Nov. 2020 16:15 datatable: .csv Download
    TrOCs_DOM_runoff_data.csv 02. Nov. 2020 16:14 datatable: .csv Download
    TrOCs_DOM_hydrology_data.csv 02. Nov. 2020 16:14 datatable: .csv Download
    TrOCs_DOM_chemistry_data.csv 02. Nov. 2020 16:14 datatable: .csv Download

    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.

    • Trace_organics_and_dissolved_organic_matter_-_study_at_"Rechter_Randgraben".xml
    • Trace_organics_and_dissolved_organic_matter_-_study_at_"Rechter_Randgraben".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)