GLORIA

GEOMAR Library Ocean Research Information Access

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Data  (15)
Document type
Source
Keywords
Publisher
Years
  • 1
    Publication Date: 2023-07-06
    Description: The University of Hamburg is part of environmental studies in the INDEX Program, which was establishes by the BGR (Federal Institute of Geosciences and Natural Resources) in Hanover to explore Massive Sulphides with regard to a potential future deep sea mining. The INDEX license area is located in the oligotrophic subtropical gyre of the South Indian Ocean. The water samples were collected with a CTD water rosette during two ship cruises with R/V Merian in 2016 (MSM 59/2 "INDEX 2016-2"; November−December 2016) and R/V Sonne in 2017 (SO 259 "INDEX 2017"; August−October 2017) and were analysed for nutrients and stable isotopes of nitrate.
    Keywords: CTD/Rosette; CTD-RO; DATE/TIME; Density, sigma-theta (0); DEPTH, water; ELEVATION; Event label; INDEX2017; Indian Ocean; LATITUDE; LONGITUDE; Nitrate; Original value; Oxygen; Phosphate; Recalculated from ml/l by using (ml/l)*44.66; Salinity; SEAL AutoAnalyzer 3 HR (AA3 HR); SO259; SO259_100-1; SO259_1-1; SO259_15-1; SO259_16-1; SO259_2-1; SO259_3-1; SO259_4-1; SO259_45-1; SO259_49-1; SO259_50-1; SO259_5-1; SO259_60-1; SO259_6-1; SO259_61-1; SO259_99-1; Sonne_2; Station label; Temperature, water; δ15N, nitrate; δ18O, nitrate
    Type: Dataset
    Format: text/tab-separated-values, 1672 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    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 Limitation Availability
    BibTip Others were also interested in ...
  • 3
    facet.materialart.
    Unknown
    PANGAEA
    In:  Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research | Supplement to: Jacob, Juliane; Sanders, Tina; Dähnke, Kirstin (2016): Nitrification and Nitrite Isotope Fractionation as a Case Study in a major European River. Biogeosciences, 13(19), 5649-5659, https://doi.org/10.5194/bg-13-5649-2016
    Publication Date: 2023-07-11
    Description: In oceans, estuaries, and rivers, nitrification is an important nitrate source, and stable isotopes of nitrate are often used to investigate recycling processes (e.g. remineralisation, nitrification) in the water column. Nitrification is a two-step process, where ammonia is oxidised via nitrite to nitrate. Nitrite usually does not accumulate in natural environments, which makes it difficult to study the single isotope effect of ammonia oxidation or nitrite oxidation in natural systems. However, during an exceptional flood in the Elbe River in June 2013, we found a unique co-occurrence of ammonium, nitrite, and nitrate in the water column, returning towards normal summer conditions within 1 week. Over the course of the flood, we analysed the evolution of d15N-[NH4]+ and d15N-[NO2]- in the Elbe River. In concert with changes in suspended particulate matter (SPM) and d15N SPM, as well as nitrate concentration, d15N-NO3 - and d18O-[NO3] -, we calculated apparent isotope effects during net nitrite and nitrate consumption. During the flood event, 〉 97 % of total reactive nitrogen was nitrate, which was leached from the catchment area and appeared to be subject to assimilation. Ammonium and nitrite concentrations increased to 3.4 and 4.4 µmol/l, respectively, likely due to remineralisation, nitrification, and denitrification in the water column. d15N-[NH4]+ values increased up to 12 per mil, and d15N-[NO2]- ranged from -8.0 to -14.2 per mil. Based on this, we calculated an apparent isotope effect 15-epsilon of -10.0 ± 0.1 per mil during net nitrite consumption, as well as an isotope effect 15-epsilon of -4.0 ± 0.1 per mil and 18-epsilon of -5.3 ± 0.1 per mil during net nitrate consumption. On the basis of the observed nitrite isotope changes, we evaluated different nitrite uptake processes in a simple box model. We found that a regime of combined riparian denitrification and 22 to 36 % nitrification fits best with measured data for the nitrite concentration decrease and isotope increase.
    Keywords: Ammonium; Carbon, total, particulate; Carbon/Nitrogen ratio; Colorimetric; DATE/TIME; DEPTH, water; Element analyser, Thermo Finnigan flash EA 1112; FerryBox system; Fluorescence determination; Geesthacht weir, Germany; Gravimetric analysis (GF/F filtered); GW2011-2016_Stat_1; Mass spectrometer Finnigan MAT 252; Mass spectrometer ThermoFisher Delta V; Nitrate; Nitrite; Nitrogen, inorganic, dissolved; Nitrogen, total, particulate; Oxygen; pH; Phosphate; Salinity; Sample ID; Seal QuAAtro SFA Analyzer, Seal Analytical, 800 TM; Silicate; Suspended particulate matter; Temperature, water; Water sample; WS; δ15N, ammonium; δ15N, nitrate; δ15N, nitrite; δ15N, total particulate nitrogen; δ18O, nitrate
    Type: Dataset
    Format: text/tab-separated-values, 443 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 4
    Publication Date: 2023-08-09
    Description: We investigated nutrient input and retention in the Elbe River (Germany) at the river/estuarine transition with high agricultural loads of nitrogen. Surface water samples were taken at the weir Geesthacht (stream kilometre 585, 53°25'31''N, 10°20'10''E) from 2011 to 2021. In these samples, we analyzed nutrient concentrations, nitrate dual stable isotopes and suspended particulate matter composition. Usually, samples were taken once or twice per month. Aims of the study were to investigate 1) nitrate retention in the Elbe River and catchment, 2) seasonal dynamic of nitrate stable isotopes and 3) key nitrogen turnover processes and their respective controls over a ten year period.
    Keywords: Carbon, total; Carbon/Nitrogen ratio; Continuous flow analyser (AA3, Seal Analytics, Germany); DATE/TIME; DEPTH, water; Elemental analyzer (EA), Thermo Scientific, FlashEA 1112; Element analyser, Carlo Erba NA2500, coupled with an isotope ratio mass spectrometerFinnigan MAT 252; Fluorescence measurement (OPA), with auto-analyser; Geesthacht weir, Germany; GF/F WHA1825047, Whatman, UK; GW2011-2016_Stat_1; Helmholtz-Zentrum Hereon; Hereon; Measurement as N2O using isotope-ratio mass spectrometry (IRMS). Bacterial conversion to N2O, so called Denitrifier-method (according to Sigman et al. 2001; Casciotti et al. 2002). Average of the measurement of 2 replicates; Nitrogen, total; Nitrogen in ammonium; Nitrogen in nitrate; Nitrogen in nitrite; Phosphorus in orthophosphate; Sample ID; Silicate, dissolved; Suspended particulate matter; Water sample; WS; δ15N, nitrate; δ15N, total nitrogen; δ18O, nitrate
    Type: Dataset
    Format: text/tab-separated-values, 2723 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 5
    Publication Date: 2024-02-03
    Description: The database for nitrate concentrations and nitrate δ15N includes new data and most of the measurements that have been published to date. This database also includes most of the nitrate δ15N measurements in the database of Rafter et al. (2019; Biogeosciences 16, 2617-2633; https://doi.org/10.5194/bg-16-2617-2019). It consists of 944 stations with 15300 measurements of nitrate δ15N. All data are uploaded, except the GOSHIP P2 and P6 sections for which we report average profiles vs. depth. Full data sets for these sections will be included upon publication in a follow-up version.
    Keywords: Comment; Cruise/expedition; DEPTH, water; Identification; LATITUDE; LONGITUDE; nitrate; Nitrate; nitrogen isotopes; ocean; Reference/source; Time Stamp; Vessel; δ15N, nitrate
    Type: Dataset
    Format: text/tab-separated-values, 100052 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 6
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Paul, Sophie Anna Luise; Gaye, Birgit; Haeckel, Matthias; Kasten, Sabine; Koschinsky, Andrea (2018): Biogeochemical Regeneration of a Nodule Mining Disturbance Site: Trace Metals, DOC and Amino Acids in Deep-Sea Sediments and Pore Waters. Frontiers in Marine Science, 5, https://doi.org/10.3389/fmars.2018.00117
    Publication Date: 2024-02-16
    Description: ICP-OES and ICP-MS data of trace elements in sediment and pore waters of the DISCOL area, Peru Basin, SE Pacific
    Keywords: JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact
    Type: Dataset
    Format: application/zip, 27 datasets
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 7
    Publication Date: 2024-03-08
    Description: R/V Meteor cruise M131 carried out a physical oceanography research program with a biogeochemical sampling component in the South Equatorial Atlantic Ocean and eastern boundary upwelling region off Angola and Namibia. The program was part of the EU collaborative project PREFACE (“Enhancing prediction of tropical Atlantic climate and its impacts”) and the sampling for and analysis of nutrient data were linked to BMBF collaborative project GENUS (“Geochemistry and Ecology of the Namibian Upwelling System”). CTD data of the expedition M131 are archived under doi:10.1594/PANGAEA.910994. The bottle files corresponding to water samples analysed for nutrient concentrations and nitrate isotopic composition were provided by Gerd Krahmann (GEOMAR). Depths and data for temperature, salinity, oxygen concentrations labeled “CTD“ in the table are values from calibrated CTD sensors at closure of the bottles, numbers for fluorescence are uncalibrated. Water samples were taken by Maria-Elena Vorrath during M131 and were analyzed after shipment in the laboratory of Kirstin Dähnke at Helmholtz-Zentrum Geesthacht. Nutrient concentrations were measured with an AutoAnalyzer 3 system (Seal Analytics) using standard colorimetric methods by Markus Ankele. Nitrate was determined after reduction to nitrite, followed by a reaction with sulfanilamide to form a red azo dye (Grasshoff and Anderson 1999). Phosphate was measured after formation of a blue antimony-phosphorous colour complex, according to Murphy and Riley (1962). Ammonium was measured fluorometrically based on Holmes et al. (1999). The relative errors of duplicate sample measurements were below 1.5% for NOx and phosphate concentrations, and below 0.3% for ammonium and silicate. The detection limit was 〈0.5 µmol kg−1 for NOx, 〉 0.1 µmol kg−1 for phosphate, 〉0.013 µmol kg−1 for ammonium and 〉0.016 µmol kg−1 for silicate. Delta15N_NO3 and Delta18O_NO3 were determined in the laboratory at Helmholtz-Zentrum Geesthacht (Kirstin Dähnke) with the denitrifier method (Sigman et al. 2001; Casciotti et al. 2002). The isotopic composition was determined with a GasBench II coupled to a Delta Plus XP mass spectrometer (ThermoFinnigan). Replicate measurements were performed, and two international standards (IAEA-N3, Delta15N = 4.7‰, Delta18O=25.6‰ and USGS 34 (Delta15N=-1.8‰, Delta18O=-27.9‰; Böhlke et al. 2003), were measured with each batch of samples. To correct for exchange with oxygen atoms from water, a bracketing correction was applied (Sigman et al. 2009). The standard deviation for standards and samples was 0.2‰ for Delta15N and 0.4‰ for Delta18O.
    Keywords: Ammonium; Ammonium, standard deviation; CTD; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Event label; Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; HZG; LATITUDE; LONGITUDE; M131; M131_1188-1; M131_1190-1; M131_1193-1; M131_1205-1; M131_1208-1; M131_1220-1; M131_1232-1; M131_1275-1; M131_1287-1; M131_1301-1; Measurement as N2O using isotope-ratio mass spectrometry (IRMS). Bacterial conversion to N2O, so called Denitrifier-method (according to Sigman et al. 2001; Casciotti et al. 2002). Average of the measurement of 2 replicates; Meteor (1986); Nitrate; Nitrate and Nitrite; Nitrate and Nitrite, standard deviation; Nitrite; Nitrite, standard deviation; Oxygen; Phosphate; Phosphate, standard deviation; Pressure, water; Salinity; Sample code/label; Silicate; Silicate, standard deviation; Standard-calorimetric method (according to Grasshoff et al. 1999), with auto-analyser. Average of the measurement of 2 replicates.; Station label; Temperature, water; δ15N, nitrate; δ15N, nitrate, standard deviation; δ18O, nitrate; δ18O, nitrate, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 2107 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 8
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Xin, Yu; Dähnke, Kirstin; Emeis, Kay-Christian (submitted): Nitrogen isotope composition of chlorophyll-a and bulk sediment in the northern Benguela Upwelling System and their application in characterizing nitrogen cycling. Organic Geochemistry
    Publication Date: 2024-02-16
    Description: The coastal upwelling system offshore Namibia is well-known for its high primary productivity in surface waters and denitrification in OMZ. Both processes gradually enrich the residual nitrate pool in 15N that is assimilated by phytoplankton to synthesize Chl-a and particulate organic nitrogen. To unveil the connection between the upwelled nitrate pool, molecule-specific nitrogen and bulk sediment nitrogen, we analyzed the δ15N of nitrate in seawater, and of Chl-a and bulk nitrogen in 27 surface sediments samples of northern BUS (17°S – 25°S). An offshore increase in both δ15Nsed and δ15NChl-a in the northern (17°-20°S,11°–14°E) sector is consistent with 15N enrichment during progressive nitrate assimilation by phytoplankton. In the southern sector (20°-23°S, 11°–14°E) where the OMZ is prominent, an offshore decrease of δ15Nsed and δ15NChl-a reflect assimilation of nitrate enriched in 15N by water column denitrification. The δ15Nsed and δ15NChl-a values also increase along the inner shelf from 17° to 23°S, interpreted to reflect a time-averaged imprint of denitrification and concomitant increase in δ15N of upwelled nitrate. Despite of the overall similarity in spatial patterns, paired δ15Nsed and δ15NChl-a unexpectedly lack a significant correlation (R2 = 0.22). The deviation between δ15Nsed and δ15NChl-a (△) suggests a varying post-depositional bias of diagenetic processes on the δ15Nsed whereas the original δ15NChl-a is retained. We conclude that intense diagenetic alteration of bulk N in temporally anoxic sediments shifts the δ15Nsed, whereas the sedimentary δ15NChl-a captures the integrated N-loss in the water column, and is an unbiased isotope proxy for denitrification in the OMZ.
    Keywords: Carbon, inorganic, total; Carbon, organic, total; Carbon, total; Date/Time of event; DEPTH, sediment/rock; Element analyser CNS, Carlo Erba NA1500; Elevation of event; Event label; Isotope ratio mass spectrometry; Latitude of event; Longitude of event; M76/2; M76/2_203; M76/2_205; M76/2_206; M76/2_207; M76/2_209; M76/2_210; M76/2_211; M76/2_214; M76/2_216; M76/2_217; M76/2_218; M76/2_219; M76/2_221; M76/2_222; M76/2_224; M76/2_225; M76/2_226; M76/2_227; M76/2_228; M76/2_229; M76/2_230; M76/2_231; M76/2_239; M76/2_240; M76/2_241; M76/2_242; M76/2_243; Meteor (1986); MUC; MultiCorer; Namibia upwelling, Southeast Atlantic; Nitrogen, total; δ15N
    Type: Dataset
    Format: text/tab-separated-values, 162 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 9
    Publication Date: 2024-02-02
    Description: The University of Hamburg is part of environmental studies in the INDEX Program, which was establishes by the BGR (Federal Institute of Geosciences and Natural Resources) in Hanover to explore Massive Sulphides with regard to a potential future deep sea mining. The INDEX license area is located in the oligotrophic subtropical gyre of the South Indian Ocean. The water samples were collected with a CTD water rosette during two ship cruises with R/V Merian in 2016 (MSM 59/2 "INDEX 2016-2"; November−December 2016) and R/V Sonne in 2017 (SO 259 "INDEX 2017"; August−October 2017) and were analysed for nutrients and stable isotopes of nitrate.
    Keywords: ALTITUDE; CTD/Rosette; CTD-RO; DATE/TIME; Density, sigma-theta (0); DEPTH, water; Event label; INDEX2016_2; Indian Ocean; LATITUDE; LONGITUDE; Maria S. Merian; MSM59/2; MSM59/2_730-1; MSM59/2_734-2; MSM59/2_734-3; MSM59/2_739-1; MSM59/2_739-2; MSM59/2_749-1; MSM59/2_749-2; MSM59/2_751-1; MSM59/2_769-1; MSM59/2_769-2; MSM59/2_783-1; MSM59/2_783-2; Nitrate; Original value; Oxygen; Phosphate; Recalculated from ml/l by using (ml/l)*44.66; Salinity; SEAL AutoAnalyzer 3 HR (AA3 HR); Station label; Temperature, water; δ15N, nitrate; δ18O, nitrate
    Type: Dataset
    Format: text/tab-separated-values, 1289 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 10
    Publication Date: 2024-03-13
    Description: Temperature, salinity and fluorescence data of CTD (Seabird 911+) bottle files (reference to data set doi:10.1594/PANGAEA.784365). Concentrations of nutrients in discrete samples from rosette after filtration of seawater by auto-analyser. Nutrients of samples were measured with a Bran & Luebbe autoanalyzer in the home laboratory in Hamburg by applying standard methods. Nitrate isotope composition (delta15N-nitrate) referenced against air-N2 determined by mass spectrometry after conversion of nitrate to N2O by the denitrifyer method. Methods are detailed in Nagel et al. (2013).
    Keywords: Add-06_1; Add-10_1; Add-11_1; AFR258; AFR258_30250_1; AFR258_30252_1; AFR258_30254_1; AFR258_30255_1; AFR258_30256_1; AFR258_30258_1; AFR258_30260_1; AFR258_30261_1; AFR258_30262_1; AFR258_30263_1; AFR258_30264_1; AFR258_30265_1; Africana (1982); Ammonium; Benguela Upwelling; Clarke-type sensor; Colorimetric; CTD; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Fi-7_1; Fluorescence; GENUS; Geochemistry and ecology of the Namibian upwelling system; Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; HZG; Isotope ratio mass spectrometry; Latitude of event; Longitude of event; Nitrate; Nitrite; Oxygen; Phosphate; Salinity; Silicate; T-5-1_1; T-5-1a_1; T-5-4_1; T-8-1_1; T-8-1a_1; T-8-3_1; T-8-4_1; T-8-5_1; Temperature, water; δ15N, nitrate
    Type: Dataset
    Format: text/tab-separated-values, 877 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...