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  • 11
    Publication Date: 2023-03-03
    Keywords: AL410; AL410_0107-1; Alkor (1990); Boknis Eck; Chlorophyll a; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; K08-13; KBP-467; KBP-470; KBP-473; KBP-475; KBP-478; KBP-481; KBP-484; Latitude of event; LI081113-2; LI170914-2; LI2013; LI2014; LI250913-2; Littorina; Longitude of event; Methane; Month; PF180614-2; PF2013; PF2014; PF270613-2; Polarfuchs
    Type: Dataset
    Format: text/tab-separated-values, 27 data points
    Location Call Number Expected Availability
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  • 12
    Publication Date: 2023-03-03
    Keywords: AL410; AL410_0107-3; Alkor (1990); Boknis Eck; Carbon, inorganic, dissolved; Carbon, organic, particulate; Carbon/Nitrogen ratio; Date/Time of event; DEPTH, sediment/rock; Element analyser CNS, Carlo Erba NA1500; Event label; Gas chromatography; Ion chromatography (Metrohm Compact IC 761); K08-13; Latitude of event; LI081113-1; LI170914-1; LI2013; LI2014; LI250913-1; Littorina; Longitude of event; Methane; Methane, hydrogenotrophic methanogenesis, production rate; Methane, net methanogenesis, production rate; MUC; MultiCorer; Multi N/C 2100 analyzer (Analytik Jena); PF130314; PF180614-1; PF2013; PF2014; PF270613-1; Photometry; Polarfuchs; Sulfate; Sulfide
    Type: Dataset
    Format: text/tab-separated-values, 1076 data points
    Location Call Number Expected Availability
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  • 13
    Publication Date: 2023-03-03
    Description: We developed a purge-and-trap system to measure CH_4 with high accuracy in the surface water and the water column of the Kiel Bight, close to the monthly time series station Boknis Eck. The small-scale variability of CH_4 was investigated from samples taken in the Baltic Sea during the two Alkor cruises AL510 and AL516 in the in early summer and autumn 2018 when two gas exchange experiments (GasEx) were carried out around the Boknis Eck time series station. This station has been sampled for CH_4 on a monthly basis since 2007.During the GasEx cruises, special emphasis was put on the sampling of the upper water column and the mixed layer, with high-resolution sampling to determine potential gas gradients within the mixed layer that are not captured with conventional sampling approaches. Water column CH_4 samples were collected from Niskin bottles mounted to a CTD-water-rosette-sampler, Dinghy samples were collected using an aquarium pump, Underway samples were taken from the ship's sea water supply. All samples were filled bubble-free into dark brown 20 mL glass vials by overflowing the approximate threefold volume and crimp-sealed with rubber stoppers and aluminium caps.
    Keywords: AL510; AL510_27-1; AL510_29-1; AL510_31-1; AL510_33-1; AL510_35-1; AL510_37-1; AL510_41-1; AL510_44-1; AL510_48-1; AL510_50-1; AL510_52-1; AL510_54-1; AL510_57-1; AL510_60-1; AL510_62-1; AL510_63-1; AL510_65-1; AL510_68-1; AL510_70-1; AL510_71-1; AL510_73-1; AL510_75-1; AL510_77-1; AL510_9-1; Alkor (1990); Baltic Sea; Bottle number; CH4; CTD; CTD/Rosette; CTD-RO; DATE/TIME; Density, mass density; Density, potential; Depth, bathymetric; Depth, description; Depth, uncorrected; DEPTH, water; Error; Event label; gas exchange; Latitude of event; Longitude of event; Methane; Oxygen; Pressure, water; Purge and trap gas chromatography; Salinity; Sample code/label; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3327 data points
    Location Call Number Expected Availability
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  • 14
    Publication Date: 2023-03-03
    Description: We developed a purge-and-trap system to measure CH_4 with high accuracy in the surface water and the water column of the Kiel Bight, close to the monthly time series station Boknis Eck. The small-scale variability of CH_4 was investigated from samples taken in the Baltic Sea during the two Alkor cruises AL510 and AL516 in the in early summer and autumn 2018 when two gas exchange experiments (GasEx) were carried out around the Boknis Eck time series station. This station has been sampled for CH_4 on a monthly basis since 2007.During the GasEx cruises, special emphasis was put on the sampling of the upper water column and the mixed layer, with high-resolution sampling to determine potential gas gradients within the mixed layer that are not captured with conventional sampling approaches. Water column CH_4 samples were collected from Niskin bottles mounted to a CTD-water-rosette-sampler, Dinghy samples were collected using an aquarium pump, Underway samples were taken from the ship's sea water supply. All samples were filled bubble-free into dark brown 20 mL glass vials by overflowing the approximate threefold volume and crimp-sealed with rubber stoppers and aluminium caps.
    Keywords: AL516; AL516_22-1; AL516_23-1; AL516_25-1; AL516_27-1; AL516_29-1; AL516_32-1; AL516_34-1; AL516_36-1; AL516_38-1; AL516_40-1; AL516_42-1; AL516_44-1; AL516_46-1; AL516_48-1; AL516_50-1; AL516_52-1; AL516_54-1; AL516_56-1; AL516-track; Alkor (1990); Baltic Sea; Bottle number; CH4; CT; CTD; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Error; Event label; gas exchange; LATITUDE; LONGITUDE; Methane; Oxygen; Pressure, water; Purge and trap gas chromatography; Salinity; Sample code/label; Station label; Temperature, water; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 2051 data points
    Location Call Number Expected Availability
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  • 15
    Publication Date: 2023-07-04
    Description: This dataset contains the concentrations of 34 elements, chloride, methane, ammonium, and dissolved inorganic carbon, as well as δ2H, δ18O, δ7Li, δ34S, 87Sr/86Sr and δ13C-DIC in groundwater and seawater samples as well as in sediment porewater samples from pockmarks associated with submarine groundwater discharge (SGD) at the Hanko cape in Finland, northern Baltic Sea. The groundwater samples were collected onshore from an observation well using a suction pump and from a water intake well. The seawater and pockmark porewater samples were collected from the research vessel Geomari of the Geological Survey of Finland (GTK). The seawater samples were collected onboard from 2 m, 6 m, and 10 m below sea surface at the pockmark locations using a Limnos water sampler. The porewater samples were extracted using Rhizons at 1-2 cm vertical intervals from sediment cores that were collected from the pockmarks at 11 m water depth. Multielement composition of the seawater, groundwater and porewater samples were analyzed using inductively coupled plasma optical emission and mass spectrometry (ICP-OES and ICP-MS). Ca, Fe, K, Mg, Mn, Na, and S were analysed by ICP-OES, whereas Ag, Al, As, B, Ba, Be, Bi, Cd, Co, Cr, Cu, I, Li, Mn, Mo, Ni, P, Pb, Rb, Sb, Se, Sr, Th, Tl, U, V, and Zn were analysed by ICP-MS. Major anions (Br, Cl, F, NO3 and SO4) were analyzed using ion chromatography. Alkalinity (as HCO3-), electrical conductivity, pH and KMnO4 consumption of the unfiltered and unpreserved groundwater samples were measured immediately upon arrival at the laboratory. Methane concentrations in the seawater, groundwater and porewater samples were determined by gas chromatography with flame ionization detector. Headspace CH4 concentrations were converted to total dissolved phase concentrations in the original porewater sample using Henry's Law. δ13CDIC values were determined by means of continuous-flow isotope-ratio-monitoring mass spectrometry (CF-irmMS). The concentrations of NH4+ and PO4 were analyzed spectrophotometrically. Hydrogen and oxygen isotope ratios of the groundwater, seawater and porewater samples were analyzed by cavity ring down spectroscopy (CRDS). The isotope ratios are reported as deviation from the international VSMOW-standard. The uncertainty (2σ) of measurement is 〈0.1‰ for oxygen analysis and 〈0.3‰ for hydrogen analysis. For the determination of δ7Li, δ34S and 87Sr/86Sr, the elements were eluted from the groundwater, seawater and porewater samples by liquid column chromatography. The isotope ratios in the eluted samples were analyzed by multi-collector ICP-MS. The Li, S and Sr isotope ratios are reported against the LSVEC, NBS987 and CDT reference materials, respectively. The standard mean deviations of Li and S isotope determinations are +/- 0.32 and +/- 0.52 ‰, respectively. The mean 2SE of Sr isotope determinations is +/- 0.000015. In the dataset, The given ‰ values are equivalent to mUr (milli Urey)
    Keywords: Alkalinity, total; Aluminium; ammonium; Ammonium; Ammonium molybdate spectrometric method; Antimony; Arsenic; Baltic Sea; Barium; BC; Beryllium; Bismuth; BONUS_SEAMOUNT; Boron; Box corer; Bromide; Cadmium; Calcium; Calculated; Carbon, inorganic, dissolved; Cavity ring-down spectroscopy; Chloride; chloride concentrations; Chromium; Cobalt; Conductivity, electrical; Continuous Flow Isotope Ratio Mass Spectrometry (CF/IRMS); Copper; Coulometric titration; CRDS; DATE/TIME; DEPTH, sediment/rock; DEPTH, water; Determination of chemical oxygen demand by permanganate oxidation; Deuterium excess; dissolved in organic carbon (DIC); Electrical conductivity meter; Event label; Finland; Fluoride; Gas chromatography - Flame Ionization Detection (GC-FID); GC; Geomari; Gravity corer; groundwater geochemistry; Gulf of Finland; HP101_2017; HP101_2018; HP101_2019; Inductively coupled plasma - mass spectrometry (ICP-MS); Inductively Coupled Plasma - Optical Emission Spectrometry (ICP-OES); Iodine; Ion chromatography; Iron; Lappohja pockmark D; Lappohja pockmark E; LATITUDE; Lead; LIMNOS water sampler; LIMNOSWS; Lithium; Lithium isotopes; LONGITUDE; Magnesium; Manganese; Methane; Methane, standard deviation; Methane concentration; MGBC-2018-1; MGBC-2018-2; MGBC-2018-3; MGBC-2019-16; MGBC-2019-17; MGGN-2019-24; Molybdenum; Multi-Collector ICP-MS (MC-ICP-MS); multielement; New surveillance tools for remote sea monitoring and their application on submarine groundwater discharge and seabed surveys; Nickel; Nitrate; Offshore_J_2017; Offshore_J_2019; Optical comparison with hexachloroplatinate concentration at wavelength 410 nm; oxygen and hydrogen isotopes; pH; Phosphate; Phosphorus; pH sensor; Pockmark_B_2018; Pockmark_B_2019; Pockmark_D_2018; Pockmark_D_2019; Pockmark_E_2019; Porewater chemistry; Potassium; Potassium permanganate, consumption; PUMP; Rubidium; Sample ID; SEAMOUNT_Sampling_2019; seawater; Selenium; Silicon; Silver; Sodium; Spectrophotometry; Strontium; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, standard error; strontium isotopes; submarine groundwater discharge; Sulfate; Sulfur; Sulfur isotopes; Thallium; Thorium; Titration; Uranium; Vanadium; Water_intake_well_2017; Water_intake_well_2018; Water_intake_well_2019; Water color, Pt/Co scale, Platinum per unit volume; Water intake well; Water pump; Zinc; δ13C, dissolved inorganic carbon; δ18O, water; δ18O, water, standard deviation; δ34S; δ34S, standard deviation; δ7Li; δ7Li, standard deviation; δ Deuterium, water; δ Deuterium, water, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 3075 data points
    Location Call Number Expected Availability
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  • 16
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Brase, Lisa; Bange, Hermann Werner; Lendt, Ralf; Sanders, Tina; Dähnke, Kirstin (2017): High Resolution Measurements of Nitrous Oxide (N2O) in the Elbe Estuary. Frontiers in Marine Science, 4, https://doi.org/10.3389/fmars.2017.00162
    Publication Date: 2023-07-06
    Description: Nitrous oxide (N2O) is one of the most important greenhouse gases and a major sink for stratospheric ozone. Estuaries are sites of intense biological production and N2O emissions. We aimed to identify hot spots of N2O production and potential pathways contributing to N2O concentrations in the surface water of the tidal Elbe estuary. During two research cruises in April and June 2015, surface water N2O concentrations were measured along the salinity gradient of the Elbe estuary by using a laser-based on-line analyzer coupled to an equilibrator. Based on these high-resolution N2O profiles, N2O saturations, and fluxes across the surface water/atmosphere interface were calculated. Additional measurements of DIN concentrations, oxygen concentration, and salinity were performed. Highest N2O concentrations were determined in the Hamburg port region reaching maximum values of 32.3 nM in April 2015 and 52.2 nM in June 2015. These results identify the Hamburg port region as a significant hot spot of N2O production, where linear correlations of AOU-N2Oxs indicate nitrification as an important contributor to N2O production in the freshwater part. However, in the region with lowest oxygen saturation, sediment denitrification obviously affected water column N2O saturation. The average N2O saturation over the entire estuary was 201% (SD: ±94%), with an average estuarine N2O flux density of 48 ?mol m-2 d-1 and an overall emission of 0.18 Gg N2O y-1. In comparison to previous studies, our data indicate that N2O production pathways over the whole estuarine freshwater part have changed from predominant denitrification in the 1980s toward significant production from nitrification in the present estuary. Despite a significant reduction in N2O saturation compared to the 1980s, N2O concentrations nowadays remain on a high level, comparable to the mid-90s, although a steady decrease of DIN inputs occurred over the last decades. Hence, the Elbe estuary still remains an important source of N2O to the atmosphere.
    Keywords: Ammonium; Continuous flow analyser (AA3, Seal Analytics, Germany); Date/Time of event; DEPTH, water; Elbe Estuary; Event label; FerryBox system; Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; HZG; Latitude of event; Longitude of event; LP201504; LP201504_Stat_1_1; LP201504_Stat_1_10; LP201504_Stat_1_11; LP201504_Stat_1_12; LP201504_Stat_1_13; LP201504_Stat_1_14; LP201504_Stat_1_15; LP201504_Stat_1_16; LP201504_Stat_1_17; LP201504_Stat_1_18; LP201504_Stat_1_19; LP201504_Stat_1_2; LP201504_Stat_1_3; LP201504_Stat_1_4; LP201504_Stat_1_5; LP201504_Stat_1_6; LP201504_Stat_1_7; LP201504_Stat_1_8; LP201504_Stat_1_9; LP201504_Stat_10_1; LP201504_Stat_10_10; LP201504_Stat_10_11; LP201504_Stat_10_12; LP201504_Stat_10_13; LP201504_Stat_10_14; LP201504_Stat_10_15; LP201504_Stat_10_16; LP201504_Stat_10_17; LP201504_Stat_10_18; LP201504_Stat_10_19; LP201504_Stat_10_2; LP201504_Stat_10_20; LP201504_Stat_10_3; LP201504_Stat_10_4; LP201504_Stat_10_5; LP201504_Stat_10_6; LP201504_Stat_10_7; LP201504_Stat_10_8; LP201504_Stat_10_9; LP201504_Stat_11_1; LP201504_Stat_11_10; LP201504_Stat_11_11; LP201504_Stat_11_12; LP201504_Stat_11_13; LP201504_Stat_11_14; LP201504_Stat_11_15; LP201504_Stat_11_16; LP201504_Stat_11_17; LP201504_Stat_11_18; LP201504_Stat_11_19; LP201504_Stat_11_2; LP201504_Stat_11_20; LP201504_Stat_11_3; LP201504_Stat_11_4; LP201504_Stat_11_5; LP201504_Stat_11_6; LP201504_Stat_11_7; LP201504_Stat_11_8; LP201504_Stat_11_9; LP201504_Stat_12_1; LP201504_Stat_12_10; LP201504_Stat_12_2; LP201504_Stat_12_3; LP201504_Stat_12_4; LP201504_Stat_12_5; LP201504_Stat_12_6; LP201504_Stat_12_7; LP201504_Stat_12_8; LP201504_Stat_12_9; LP201504_Stat_13_1; LP201504_Stat_13_10; LP201504_Stat_13_11; LP201504_Stat_13_12; LP201504_Stat_13_13; LP201504_Stat_13_14; LP201504_Stat_13_15; LP201504_Stat_13_2; LP201504_Stat_13_3; LP201504_Stat_13_4; LP201504_Stat_13_5; LP201504_Stat_13_6; LP201504_Stat_13_7; LP201504_Stat_13_8; LP201504_Stat_13_9; LP201504_Stat_14_1; LP201504_Stat_14_2; LP201504_Stat_14_3; LP201504_Stat_14_4; LP201504_Stat_14_5; LP201504_Stat_14_6; LP201504_Stat_15_1; LP201504_Stat_15_2; LP201504_Stat_15_3; LP201504_Stat_15_4; LP201504_Stat_17_1; LP201504_Stat_17_10; LP201504_Stat_17_11; LP201504_Stat_17_12; LP201504_Stat_17_13; LP201504_Stat_17_14; LP201504_Stat_17_15; LP201504_Stat_17_16; LP201504_Stat_17_17; LP201504_Stat_17_2; LP201504_Stat_17_3; LP201504_Stat_17_4; LP201504_Stat_17_5; LP201504_Stat_17_6; LP201504_Stat_17_7; LP201504_Stat_17_8; LP201504_Stat_17_9; LP201504_Stat_18_1; LP201504_Stat_18_2; LP201504_Stat_18_3; LP201504_Stat_19_1; LP201504_Stat_19_10; LP201504_Stat_19_11; LP201504_Stat_19_12; LP201504_Stat_19_13; LP201504_Stat_19_14; LP201504_Stat_19_15; LP201504_Stat_19_16; LP201504_Stat_19_2; LP201504_Stat_19_3; LP201504_Stat_19_4; LP201504_Stat_19_5; LP201504_Stat_19_6; LP201504_Stat_19_7; LP201504_Stat_19_8; LP201504_Stat_19_9; LP201504_Stat_2_1; LP201504_Stat_2_10; LP201504_Stat_2_11; LP201504_Stat_2_12; LP201504_Stat_2_13; LP201504_Stat_2_14; LP201504_Stat_2_15; LP201504_Stat_2_16; LP201504_Stat_2_17; LP201504_Stat_2_18; LP201504_Stat_2_19; LP201504_Stat_2_2; LP201504_Stat_2_3; LP201504_Stat_2_4; LP201504_Stat_2_5; LP201504_Stat_2_6; LP201504_Stat_2_7; LP201504_Stat_2_8; LP201504_Stat_2_9; LP201504_Stat_20_1; LP201504_Stat_20_10; LP201504_Stat_20_11; LP201504_Stat_20_12; LP201504_Stat_20_13; LP201504_Stat_20_14; LP201504_Stat_20_15; LP201504_Stat_20_16; LP201504_Stat_20_17; LP201504_Stat_20_18; LP201504_Stat_20_2; LP201504_Stat_20_3; LP201504_Stat_20_4; LP201504_Stat_20_5; LP201504_Stat_20_6; LP201504_Stat_20_7; LP201504_Stat_20_8; LP201504_Stat_20_9; LP201504_Stat_21_1; LP201504_Stat_21_10; LP201504_Stat_21_11; LP201504_Stat_21_12; LP201504_Stat_21_13; LP201504_Stat_21_14; LP201504_Stat_21_15; LP201504_Stat_21_16; LP201504_Stat_21_17; LP201504_Stat_21_18; LP201504_Stat_21_19; LP201504_Stat_21_2; LP201504_Stat_21_20; LP201504_Stat_21_21; LP201504_Stat_21_22; LP201504_Stat_21_23; LP201504_Stat_21_24; LP201504_Stat_21_25; LP201504_Stat_21_26; LP201504_Stat_21_27; LP201504_Stat_21_28; LP201504_Stat_21_29; LP201504_Stat_21_3; LP201504_Stat_21_30; LP201504_Stat_21_31; LP201504_Stat_21_32; LP201504_Stat_21_33; LP201504_Stat_21_34; LP201504_Stat_21_4; LP201504_Stat_21_5; LP201504_Stat_21_6; LP201504_Stat_21_7; LP201504_Stat_21_8; LP201504_Stat_21_9; LP201504_Stat_22_1; LP201504_Stat_22_10; LP201504_Stat_22_11; LP201504_Stat_22_12; LP201504_Stat_22_13; LP201504_Stat_22_14; LP201504_Stat_22_15; LP201504_Stat_22_16; LP201504_Stat_22_17; LP201504_Stat_22_18; LP201504_Stat_22_2; LP201504_Stat_22_3; LP201504_Stat_22_4; LP201504_Stat_22_5; LP201504_Stat_22_6; LP201504_Stat_22_7; LP201504_Stat_22_8; LP201504_Stat_22_9; LP201504_Stat_23_1; LP201504_Stat_23_10; LP201504_Stat_23_11; LP201504_Stat_23_12; LP201504_Stat_23_13; LP201504_Stat_23_14; LP201504_Stat_23_15; LP201504_Stat_23_16; LP201504_Stat_23_2; LP201504_Stat_23_3; LP201504_Stat_23_4; LP201504_Stat_23_5; LP201504_Stat_23_6; LP201504_Stat_23_7; LP201504_Stat_23_8; LP201504_Stat_23_9; LP201504_Stat_24_1; LP201504_Stat_24_10; LP201504_Stat_24_11; LP201504_Stat_24_12; LP201504_Stat_24_13; LP201504_Stat_24_14; LP201504_Stat_24_15; LP201504_Stat_24_16; LP201504_Stat_24_17; LP201504_Stat_24_18; LP201504_Stat_24_19; LP201504_Stat_24_2; LP201504_Stat_24_3; LP201504_Stat_24_4; LP201504_Stat_24_5; LP201504_Stat_24_6; LP201504_Stat_24_7; LP201504_Stat_24_8; LP201504_Stat_24_9; LP201504_Stat_3_1; LP201504_Stat_3_10; LP201504_Stat_3_11; LP201504_Stat_3_12; LP201504_Stat_3_13; LP201504_Stat_3_14; LP201504_Stat_3_15; LP201504_Stat_3_16; LP201504_Stat_3_17; LP201504_Stat_3_18; LP201504_Stat_3_19; LP201504_Stat_3_2; LP201504_Stat_3_20; LP201504_Stat_3_3; LP201504_Stat_3_4; LP201504_Stat_3_5; LP201504_Stat_3_6; LP201504_Stat_3_7; LP201504_Stat_3_8; LP201504_Stat_3_9; LP201504_Stat_4_1; LP201504_Stat_4_10; LP201504_Stat_4_11; LP201504_Stat_4_12; LP201504_Stat_4_13; LP201504_Stat_4_14; LP201504_Stat_4_15; LP201504_Stat_4_16; LP201504_Stat_4_17; LP201504_Stat_4_18; LP201504_Stat_4_19; LP201504_Stat_4_2; LP201504_Stat_4_20; LP201504_Stat_4_3; LP201504_Stat_4_4; LP201504_Stat_4_5; LP201504_Stat_4_6; LP201504_Stat_4_7; LP201504_Stat_4_8; LP201504_Stat_4_9; LP201504_Stat_5_1; LP201504_Stat_5_10; LP201504_Stat_5_11; LP201504_Stat_5_12; LP201504_Stat_5_13; LP201504_Stat_5_14; LP201504_Stat_5_15; LP201504_Stat_5_16; LP201504_Stat_5_17; LP201504_Stat_5_18; LP201504_Stat_5_19; LP201504_Stat_5_2; LP201504_Stat_5_20; LP201504_Stat_5_3; LP201504_Stat_5_4; LP201504_Stat_5_5; LP201504_Stat_5_6; LP201504_Stat_5_7; LP201504_Stat_5_8; LP201504_Stat_5_9; LP201504_Stat_6_1; LP201504_Stat_6_10; LP201504_Stat_6_11; LP201504_Stat_6_12; LP201504_Stat_6_13; LP201504_Stat_6_14; LP201504_Stat_6_15; LP201504_Stat_6_16; LP201504_Stat_6_17; LP201504_Stat_6_18; LP201504_Stat_6_19; LP201504_Stat_6_2; LP201504_Stat_6_20; LP201504_Stat_6_3; LP201504_Stat_6_4; LP201504_Stat_6_5; LP201504_Stat_6_6; LP201504_Stat_6_7; LP201504_Stat_6_8; LP201504_Stat_6_9; LP201504_Stat_7_1; LP201504_Stat_7_10; LP201504_Stat_7_11; LP201504_Stat_7_12; LP201504_Stat_7_13; LP201504_Stat_7_14; LP201504_Stat_7_15; LP201504_Stat_7_16; LP201504_Stat_7_17; LP201504_Stat_7_18; LP201504_Stat_7_19; LP201504_Stat_7_2; LP201504_Stat_7_20; LP201504_Stat_7_3; LP201504_Stat_7_4; LP201504_Stat_7_5; LP201504_Stat_7_6; LP201504_Stat_7_7; LP201504_Stat_7_8; LP201504_Stat_7_9; LP201504_Stat_8_1; LP201504_Stat_8_2; LP201504_Stat_8_3; LP201504_Stat_9_1; LP201504_Stat_9_10; LP201504_Stat_9_11; LP201504_Stat_9_12; LP201504_Stat_9_13; LP201504_Stat_9_14; LP201504_Stat_9_15; LP201504_Stat_9_2; LP201504_Stat_9_3; LP201504_Stat_9_4; LP201504_Stat_9_5; LP201504_Stat_9_6; LP201504_Stat_9_7; LP201504_Stat_9_8; LP201504_Stat_9_9; LP201506; LP201506_Stat_25_1; LP201506_Stat_25_10; LP201506_Stat_25_11; LP201506_Stat_25_12; LP201506_Stat_25_13; LP201506_Stat_25_14; LP201506_Stat_25_15; LP201506_Stat_25_16; LP201506_Stat_25_2; LP201506_Stat_25_3; LP201506_Stat_25_4; LP201506_Stat_25_5;
    Type: Dataset
    Format: text/tab-separated-values, 3585 data points
    Location Call Number Expected Availability
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  • 17
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Maltby, Johanna; Steinle, Lea; Löscher, Carolin R; Bange, Hermann Werner; Fischer, Martin A; Schmidt, Mark; Treude, Tina (2018): Microbial methanogenesis in the sulfate-reducing zone of sediments in the Eckernförde Bay, SW Baltic Sea. Biogeosciences, 15(1), 137-157, https://doi.org/10.5194/bg-15-137-2018
    Publication Date: 2023-05-03
    Description: The presence of surface methanogenesis, located within the sulfate-reducing zone (0-30 centimeters below seafloor, cmbsf), was investigated in sediments of the seasonally hypoxic Eckernförde Bay, southwestern Baltic Sea. Water column parameters like oxygen, temperature and salinity together with porewater geochemistry and benthic methanogenesis rates were determined in the sampling area 'Boknis Eck' quarterly from March 2013 to September 2014, to investigate the effect of seasonal environmental changes on the rate and distribution of surface methanogenesis and to estimate its potential contribution to benthic methane emissions. Water column parameters where determined via CTD (temperature, salinity, pressure), as well as gas chromatography (methane) and fluorometric methods (chlorophyll a). For porewater and sediment geochemistry various method were used including photometry (sulfide), ion chromatography (sulfate), N/C Analysis (DIC), Carbo-Elba element analysis (POC, C/N), gas chromatography (methane). Sediment net methanogenesis rates were determined via the methane increase (measured with gas chromatography) over time in sediment slurry batch incubations. Sediment hydrogenotrophic methanogenesis was measured by adding radiotracer (14C-bicarbonate) to sediment samples and measuring the production of 14C-methane (via scintillation counting) after a specific period of time. For further details (sample preparation and analysis) see the related publication (Maltby et al., 2017, Biogeosciences Discussions)
    Keywords: Boknis_Eck_2013-14; MULT; Multiple investigations
    Type: Dataset
    Format: application/zip, 4 datasets
    Location Call Number Expected Availability
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  • 18
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    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Publication Date: 2023-10-28
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; CT; DATE/TIME; DEPTH, water; LATITUDE; LONGITUDE; M91; M91-track; Meteor (1986); Salinity; SFB754; South Pacific Ocean; Temperature, water; Thermosalinograph; TSG; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 180441 data points
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  • 19
    Publication Date: 2023-10-28
    Description: NO was measured in the oxygen minimum zone (OMZ) of the eastern tropical South Pacific Ocean (ETSP) off Peru during the R/V Meteor cruise M93 in February/March 2013. NO was measured at nine stations by taking discrete water samples at selected water depths between the surface and 327 m with a pump-CTD system. NO concentrations were determined with a chemiluminescence NO analyser connected to a stripping unit. For details see Lutterbeck et al., Deep-Sea Res. II, 156, 148-154, 2018.
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; Date/Time of event; Depth, bottom/max; DEPTH, water; Error, relative; Event label; LATITUDE; LONGITUDE; M93; M93_347-3; M93_376-1; M93_378-1; M93_380-2; M93_391-10; M93_391-4; M93_399-4; M93_411-6; M93_441-2; M93_463-2; Meteor (1986); Nitric oxide; Nitric oxide, standard deviation; PCTD-RO; Pressure, water; PumpCTD/Rosette; Salinity; Sample code/label; SFB754; South Pacific Ocean; Station label; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 1016 data points
    Location Call Number Expected Availability
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  • 20
    Publication Date: 2023-10-28
    Keywords: ASTRA-OMZ; Bottle number; Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD/Rosette; CTD-001; CTD-002; CTD-003; CTD-004; CTD-005; CTD-010; CTD-011; CTD-012; CTD-013; CTD-014; CTD-018; CTD-019; CTD-020; CTD-021; CTD-022; CTD-023; CTD-024; CTD-025; CTD-026; CTD-027; CTD-028; CTD-029; CTD-030; CTD-031; CTD-032; CTD-033; CTD-034; CTD-035; CTD-036; CTD-037; CTD-038; CTD-039; CTD-RO; DATE/TIME; DEPTH, water; Event label; Latitude of event; Longitude of event; Nitrate; Nitrate and Nitrite; Nitrite; Phosphate; Sample code/label; Sample ID; SFB754; Silicon dioxide; SO243; SO243_10-1; SO243_10-4; SO243_1-1; SO243_11-1; SO243_12-1; SO243_12-3; SO243_1-3; SO243_13-1; SO243_13-5; SO243_14-1; SO243_14-3; SO243_15-1; SO243_15-3; SO243_16-1; SO243_16-3; SO243_16-5; SO243_17-1; SO243_17-3; SO243_18-1; SO243_18-3; SO243_18-5; SO243_18-7; SO243_2-3; SO243_2-5; SO243_3-1; SO243_5-1; SO243_5-3; SO243_6-1; SO243_6-3; SO243_7-1; SO243_8-3; SO243_9-1; Sonne_2
    Type: Dataset
    Format: text/tab-separated-values, 4050 data points
    Location Call Number Expected Availability
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