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    578 Seasonal differences in TrOC attenuation in the hyporheic zone of the Erpe side channel

    DOI Info:

    • DOI: 10.18728/igb-fred-578.0
    • Citation suggestion: Birgit Maria Müller (2021-06-29 ) Seasonal differences in TrOC attenuation in the hyporheic zone of the Erpe side channel. IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries. dataset. https://doi.org/10.18728/igb-fred-578.0

      • DOI history

      Date DOI PackageId Note
      2021-06-2910.18728/igb-fred-578.0578this package latest
    Title
    Seasonal differences in TrOC attenuation in the hyporheic zone of the Erpe side channel
    Period
    2019-01-29 till 2019-08-11
    Period length
    6 months 13 days
    Sampling interval
    Irregular Interval
    Note on interval
    Data for two sampling campaigns, one in January, one in August. No data in between
    Description

    We conducted two sampling campaigns following the same protocol, one in winter, one in summer 2019.

    - Surface water samples, pore water samples along a depth profile in the pore water from 2 - 20 cm sediment depth, every 2 cm

       > Sampling interval: 1 hour, for 7 (winter) and 11 (summer) hours

       > Parameters: 18 trace organics, sulfate, nitrate-N, dissolved Fe and Mn, oxygen

     

    - Continuous measurements

       > CTD-divers in surface water and different depths of the sediment: 4, 8, 12, 16, 20 cm, measuring pressure P, temperature T and electrical conductivity EC

       > a temperature lance, vertical in sediment, in summer, sensor depths: 0, 5, 20, 22, 25, 30, 60 cm

       > Pressure difference between surface water and in different sediment depths, measured with 2 devices:  0, 5, 7, 10, 15 cm and 0, 5, 10, 12, 15, 20 cm

     

    - Sediment data: sediment cores taken at sampling sites after each sampling campaign, split up in at least two depths which were analysed for:

        > saturated hydraulic conductivity (Ksat, normed to 10°C)

        > porosity, grain size distribution

        > total carbon content TC

     

     

    Keywords
    trace organics, pharmaceuticals, nitrate, sulfate, temperature, oxygen, electrical conductivity, sediment
    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
    Parameters

    physics:

    velocity
    name
    velocity
    synonyms
    speed, Geschwindigkeit
    water level
    name
    water level
    synonyms
    level, Pegel
    water temperature
    name
    water temperature
    description

    determination by temperature-probe

    synonyms
    water temp, Wassertemperatur

    chemistry:

    C, TOC (total organic carbon)
    name
    C, TOC (total organic carbon)
    description

    purging with hydrochloric acid, nondispersive infrared sensor  (NDIR) after combustion

    synonyms
    Gesamtkohlenstoff
    electrical conductivity
    name
    electrical conductivity
    description

    determination by conductivity-probe

    synonyms
    elektrische Leitfähigkeit, Salinität, Salzgehalt, Konduktivität, cond
    Fe, (total dissolved iron)
    name
    Fe, (total dissolved iron)
    description

    Determination of Fe (TDi) by flame AAS or inductively coupled plasma optical emission spectrometry (ICP-OES) after digestion

    synonyms
    gelöstes Gesamteisen
    Mn, manganese
    name
    Mn, manganese
    description

    0,45µm filtrated, inductively coupled plasma optical emission spectrometry (ICP-OES)

    synonyms
    Mangan
    N, nitrate-nitrogen
    name
    N, nitrate-nitrogen
    description

    0,45µm filtrated, photometric determination

    synonyms
    NO3-N, NO3--N, nitrate, Nitrat
    O, oxygen
    name
    O, oxygen
    O, oxygen concentration
    name
    O, oxygen concentration
    description

    determination by oxygen-probe

    synonyms
    Sauerstoffkonzentration
    S, sulfate
    name
    S, sulfate
    description

    0,2µm filtrated, Ionenchromatographie (IC)

    synonyms
    sulphate, Sulfat

    meteorology:

    air pressure
    name
    air pressure
    synonyms
    Luftdruck, Athmosphäre
    air temperature
    name
    air temperature
    synonyms
    Lufttemperatur
    Contact
    Birgit Maria Müller, Jörg Lewandowski
    Licence for data
    This data are made available under the Open Database License:Open Data Commons Attribution License
    Project
    UWI-H1

    Data files (e.g. excel)

    TitlecreatedFiletypeActions
    Sediment_data_summer_winter.csv 25. Jun. 2021 15:03 datatable: .csv Download
    Diver_data_winter.csv 25. Jun. 2021 14:57 datatable: .csv Download
    Diver_data_summer.csv 25. Jun. 2021 14:57 datatable: .csv Download
    Pressure_difference_to_surfacewater_device_02_summer.csv 25. Jun. 2021 14:57 datatable: .csv Download
    T_lance_data_summer.csv 25. Jun. 2021 14:57 datatable: .csv Download
    Pressure_difference_to_surfacewater_device_01_summer.csv 25. Jun. 2021 14:57 datatable: .csv Download
    Chemistry_data_summer.csv 25. Jun. 2021 14:57 datatable: .csv Download
    Discharge_data_winter.csv 25. Jun. 2021 14:57 datatable: .csv Download
    Discharge_data_summer.csv 25. Jun. 2021 14:57 datatable: .csv Download
    Chemistry_data_winter.csv 25. Jun. 2021 14:57 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.

    • Seasonal_differences_in_TrOC_attenuation_in_the_hyporheic_zone_of_the_Erpe_side_channel.xml
    • Seasonal_differences_in_TrOC_attenuation_in_the_hyporheic_zone_of_the_Erpe_side_channel.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)