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  • Data  (12)
  • PANGAEA  (12)
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  • Data  (12)
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  • PANGAEA  (12)
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  • 1
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    Unknown
    PANGAEA
    In:  Supplement to: Mammitzsch, Kerstin; Jost, Günter; Jürgens, Klaus (2014): Impact of dissolved inorganic carbon concentrations and pH on growth of the chemolithoautotrophic epsilonproteobacterium Sulfurimonas gotlandica GD1 _T. Microbiology Open, 3(1), 80-88, https://doi.org/10.1002/mbo3.153
    Publication Date: 2023-02-24
    Description: Epsilonproteobacteria have been found globally distributed in marine anoxic/sulfidic areas mediating relevant transformations within the sulfur and nitrogen cycles. In the Baltic Sea redox zones, chemoautotrophic epsilonproteobacteria mainly belong to the Sulfurimonas gotlandica GD17 cluster for which recently a representative strain, S. gotlandica GD1T, could be established as a model organism. In this study, the potential effects of changes in dissolved inorganic carbon (DIC) and pH on S. gotlandica GD1T were examined. Bacterial cell abundance within a broad range of DIC concentrations and pH values were monitored and substrate utilization was determined. The results showed that the DIC saturation concentration for achieving maximal cell numbers was already reached at 800 µmol/l, which is well below in situ DIC levels. The pH optimum was between 6.6 and 8.0. Within a pH range of 6.6-7.1 there was no significant difference in substrate utilization; however, at lower pH values maximum cell abundance decreased sharply and cell-specific substrate consumption increased.
    Keywords: BIOACID; Biological Impacts of Ocean Acidification
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2023-11-15
    Description: Global warming poses new threats to marine ecosystems since rising seawater temperature potentially induces cascading effects in biogeochemical cycles and food webs. Heterotrophic bacteria are the main producers of CO2 in the ocean, thereby counteracting the biological drawdown of CO2 by primary production. In Antarctic marine systems, low seawater temperature, and the low availability of labile organic matter are major environmental constraints on bacterial growth and degradation activity. However, temperature and the availability of resources for heterotrophic bacteria undergo considerable change induced by climate warming combined with subsequent ice melt and changes in primary productivity. This project aims to test single and combined effects of temperature and organic matter availability on Antarctic marine bacterioplankton. This data set includes biological and biogeochemical parameters measured alongside the CTD casts during the Polarstern cruise PS111 to the Weddell Sea. Samples were collected in the upper 100 m of the water column at the Eastern Weddell Sea Shelf and at the Filchner-Ronne ice shelf. Concentrations of different components of dissolved organic matter and inorganic nutrients as well as chlorophyll a concentrations and bacterial cell numbers are reported.
    Keywords: Alanine; Amino acids, dissolved; Amino acids, dissolved, Carbon; ANT-XXXIII/2; Arabinose; Arginine; Aspartic acid; Auto-analyzer (QuAAtro, Seal analytical); Grasshoff et al., 1983; Bacteria; Bottle number; Carbohydrates, dissolved combined; Carbohydrates, dissolved combined, Carbon; Carbon, organic, dissolved; Chlorophyll a; CombiBac; Cruise/expedition; CTD; CTD/Rosette; CTD-RO; DATE/TIME; Depth, bathymetric; DEPTH, water; Ecology & Environment; Event label; Flow cytometry system, Becton Dickinson, FACSCalibur; Fluorometer; Welschmeyer, 1994; Fucose; Galactosamine; Galactose; Galacturonic acid; gamma-Aminobutyric acid; Glucosamine; Glucose; Glucuronic acid; Glutamic acid; Glycine; High-performance anion-exchange chromatography coupled with pulsed amperometric detection (ICS 3000, Dionex); Engel and Händel (2011); High-temperature catalytic oxidation method (TOC-VCSH, Shimadzu) (Qian and Mopper, 1996); HPLC system (Agilent 1260); Lindroth and Mopper, 1979; Isoleucine; Kombinierte Effekte von Temperatur und Ressourcenverfügbarkeit auf den Abbau von organischem Material durch Antarktisches Bakterioplankton; LATITUDE; Lazarev Sea; Leucine; LONGITUDE; Mannose/Xylose; Microbiology; Nitrate; Nitrite; Phenylalanine; Phosphate; Polarstern; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; PS111; PS111_101-1; PS111_10-2; PS111_12-2; PS111_123-1; PS111_131-1; PS111_132-1; PS111_137-2; PS111_140-1; PS111_14-1; PS111_16-1; PS111_17-1; PS111_22-1; PS111_28-1; PS111_33-1; PS111_37-2; PS111_40-3; PS111_47-1; PS111_51-1; PS111_58-1; PS111_62-1; PS111_68-1; PS111_74-1; PS111_82-1; PS111_89-1; PS111_9-3; Rhamnose; Sample ID; Serine; Silicate, inorganic, dissolved; South Atlantic Ocean; SPP1158; Station label; Threonine; Tyrosine; Valine; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 5156 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2023-10-28
    Description: Global warming poses new threats to marine ecosystems since rising seawater temperature potentially induces cascading effects in biogeochemical cycles and food webs. Heterotrophic bacteria are the main producers of CO2 in the ocean, thereby counteracting the biological drawdown of CO2 by primary production. In Antarctic marine systems, low seawater temperature, and the low availability of labile organic matter are major environmental constraints on bacterial growth and degradation activity. However, temperature and the availability of resources for heterotrophic bacteria undergo considerable change induced by climate warming combined with subsequent ice melt and changes in primary productivity. This project aims to test single and combined effects of temperature and organic matter availability on Antarctic marine bacterioplankton. This data set includes measurements on bacterial biomass production at 0°C and 3°C measured alongside the CTD casts during the Polarstern cruise PS111 to the Weddell Sea. Samples were collected in the upper 100 m of the water column at the Eastern Weddell Sea Shelf and at the Filchner-Ronne ice shelf.
    Keywords: ANT-XXXIII/2; Bacterial production; CombiBac; CTD/Rosette; CTD-RO; DEPTH, water; Ecology & Environment; Estimated; Event label; Incorporation of 14C-leucine (Simon and Azam, 1989, http://www.int-res.com/articles/meps/51/m051p201.pdf; Simon et al. 2004, doi:10.4319/lo.2004.49.4.1035); Incubation temperature; Kombinierte Effekte von Temperatur und Ressourcenverfügbarkeit auf den Abbau von organischem Material durch Antarktisches Bakterioplankton; Lazarev Sea; Microbiology; Polarstern; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; PS111; PS111_101-1; PS111_10-2; PS111_12-2; PS111_123-1; PS111_131-1; PS111_132-1; PS111_137-2; PS111_140-1; PS111_14-1; PS111_16-1; PS111_17-1; PS111_22-1; PS111_28-1; PS111_33-1; PS111_37-2; PS111_40-3; PS111_47-1; PS111_51-1; PS111_58-1; PS111_62-1; PS111_68-1; PS111_74-1; PS111_82-1; PS111_89-1; PS111_9-3; Sample ID; South Atlantic Ocean; SPP1158; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 2548 data points
    Location Call Number Limitation Availability
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  • 4
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    Unknown
    PANGAEA
    In:  Leibniz Institute for Baltic Sea Research, Warnemünde | Supplement to: Orlikowska, Anna; Stolle, Christian; Pollehne, Falk; Jürgens, Klaus; Schulz-Bull, Detlef (2015): Dynamics of halocarbons in coastal surface waters during short term mesocosm experiments. Environmental Chemistry, 12(4), 515, https://doi.org/10.1071/EN14204
    Publication Date: 2024-02-01
    Description: The aim of the present study was to evaluate the influence of different light quality, especially ultraviolet radiation (UVR), on the dynamics of volatile halogenated organic compounds (VHOCs) at the sea surface. Short term experiments were conducted with floating gas-tight mesocosms of different optical qualities. Six halocarbons (CH3I, CHCl3, CH2Br2, CH2ClI, CHBr3 and CH2I2), known to be produced by phytoplankton, together with a variety of biological and environmental variables were measured in the coastal southern Baltic Sea and in the Raunefjord (North Sea). These experiments showed that ambient levels of UVR have no significant influence on VHOC dynamics in the natural systems. We attribute it to the low radiation doses that phytoplankton cells receive in a normal turbulent surface mixed layer. The VHOC concentrations were influenced by their production and removal processes, but they were not correlated with biological or environmental parameters investigated. Diatoms were most likely the dominant biogenic source of VHOCs in the Baltic Sea experiment, whereas in the Raunefjord experiment macroalgae probably contributed strongly to the production of VHOCs. The variable stable carbon isotope signatures (d13C values) of bromoform (CHBr3) also indicate that different autotrophic organisms were responsible for CHBr3 production in the two coastal environments. In the Raunefjord, despite strong daily variations in CHBr3 concentration, the carbon isotopic ratio was fairly stable with a mean value of -26 per mil. During the declining spring phytoplankton bloom in the Baltic Sea, the d13C values of CHBr3 were enriched in 13C and showed noticeable diurnal changes (-12 per mil ± 4). These results show that isotope signature analysis is a useful tool to study both the origin and dynamics of VHOCs in natural systems.
    Keywords: SOPRAN; Surface Ocean Processes in the Anthropocene
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2024-01-26
    Keywords: Biomass as carbon per individual; Clearance rate per individual; EXP; Experiment; Nanoflagellates_FEEDEXP; Taxon/taxa; Treatment: temperature; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 15 data points
    Location Call Number Limitation Availability
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  • 6
    Publication Date: 2024-02-01
    Keywords: 1-Iodoethane; Algae abundance; Ammonia; Bacteria; Baltic Sea; Baltic-Sea-mesocosm-2011; Bromodichloromethane; Chloroiodomethane; Chlorophyll a; DATE/TIME; DEPTH, water, experiment; Dibromochloromethane; Dibromomethane; Diiodomethane; Eukaryotes; Experimental treatment; Identification; Iodomethane; MESO; Mesocosm experiment; Nanoeukaryotes; Nitrate; Nitrite; Phosphate; Picoeukaryotes; Radiation, photosynthetically active; Salinity; Silicate; SOPRAN; Surface Ocean Processes in the Anthropocene; Synechococcus; Temperature, air; Temperature, water; Thymidine incorporation rate; Tribromomethane; Tribromomethane, δ13C; Trichloromethane
    Type: Dataset
    Format: text/tab-separated-values, 1174 data points
    Location Call Number Limitation Availability
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  • 7
    facet.materialart.
    Unknown
    PANGAEA
    In:  Leibniz Institute for Baltic Sea Research, Warnemünde
    Publication Date: 2024-02-01
    Keywords: 1-Iodoethane; Algae abundance; Bacteria; Bromodichloromethane; Chloroiodomethane; Chlorophyll a; DATE/TIME; DEPTH, water, experiment; Dibromochloromethane; Dibromomethane; Diiodomethane; Eukaryotes; Experimental treatment; Identification; Iodomethane; MESO; Mesocosm experiment; Nanoeukaryotes; Picoeukaryotes; Radiation, photosynthetically active; Raunefjord-mesocosm-2011; SOPRAN; Surface Ocean Processes in the Anthropocene; Synechococcus; Temperature, air; Temperature, water; Thymidine incorporation rate; Tribromomethane; Tribromomethane, δ13C; Trichloromethane
    Type: Dataset
    Format: text/tab-separated-values, 1122 data points
    Location Call Number Limitation Availability
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  • 8
    Publication Date: 2024-05-30
    Description: During expedition EMB201 in the Baltic Sea we investigated the local producers of glycerol dialkyl glycerol tetraethers (GDGT) and their thriving depth by a combined 16S rRNA gene amplicon sequencing/ CARD-FISH and lipidomic approach. Water samples were taken in December 2018 by a pump-CTD, a giant water sampler and with Niskin bottles at the surface, suboxic and sulfidic zones of the Landsort Deep, Fårö Basin and East Gotland Basin. This data set contains the CARD-FISH and lipidomics data, while the 16S rRNA gene sequencing data is available on ENA. Cell abundance was analysed in an aliquot of 40 ml filtered (pore size 0.22 micro m) sea water fixed with particle-free formaldehyde. Archaeal cells on the filters were specifically hybridized via catalysed reporter deposition-fluorescence in situ hybridization (CARD-FISH) using the Cren537 probe. Cells on the hybridized filter were counter-stained with 40,6-diamidin-2-phenylindol (DAPI). For lipid analysis, 150–600 L sea water were filtered with a flow rate of 1.5 L min-1 on pre-ashed, 142-mm-diameter, 0.7µm pore size glass fibre GF/F filters, and frozen at –20 °C. The filters were lyophilized before different extraction methods were used to obtain intact and core GDGTs by ultra-sonification in different solvent mixtures. The combined supernatants were phase separated before analysis by high performance liquid chromatography coupled to tandem mass spectrometry (HPLC-MS2) for intact polar lipids and by high performance liquid chromatography coupled to atmospheric pressure chemical ionization mass spectrometry (HPLC APCI-MS; ThermoScientific) for core GDGTs.
    Keywords: Archaea; Baltic Sea; BaltRap; BUCKET; Bucket water sampling; CARD-FISH; Catalyzed reporter deposition fluorescence in situ hybridisation (CARD-FISH); Cells, 4',6-Diamidin-2-phenylindol stained; Core acyclic glycerol dialkyl glycerol tetraether; Core crenarchaeol; Core crenarchaeol regio-isomer; Core dicyclic glycerol dialkyl glycerol tetraether; core lipids; Core monocyclic glycerol dialkyl glycerol tetraether; Core tricyclic glycerol dialkyl glycerol tetraether; Crenarchaeota, targeted with Cren537 oligonucleotide FISH-probe; CTD, Sea-Bird, SBE 911plus; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Dihexose acyclic glycerol dialkyl glycerol tetraether; Dihexose-archaeol; Dihexose crenarchaeol; Dihexose dicyclic glycerol dialkyl glycerol tetraether; Dihexose monocyclic glycerol dialkyl glycerol tetraether; Dihexose tricyclic glycerol dialkyl glycerol tetraether; Eastern Gotland Basin; Elisabeth Mann Borgese; EMB201; EMB201_10-3; EMB201_10-9; EMB201_12-0; EMB201_12-4; EMB201_12-5; EMB201_5-3; EMB201_7-0; EMB201_7-1; EMB201_9-0; EMB201_9-1; Event label; Fårö Basin; glycerol dialkyl glycerol tetraethers; GOFLO; Go-Flo bottles; GPUMP; High performance liquid chromatography (HPLC), Waters Corporation, Alliance 2690; coupled with Triple quadrupole tandem mass spectrometer (LC-MS/MS), Micromass, Quattro LC; Intact polar lipids; Landsort Deep; LATITUDE; LC-MS/MS; Location; LONGITUDE; Monohexose acyclic glycerol dialkyl glycerol tetraether; Monohexose-archaeol; Monohexose crenarchaeol; Monohexose crenarchaeol regio-isomer; Monohexose dicyclic glycerol dialkyl glycerol tetraether; Monohexose-macroarchaeol; Monohexose monocyclic glycerol dialkyl glycerol tetraether; Monohexose tricyclic glycerol dialkyl glycerol tetraether; Other event; Oxygen, dissolved; Phosphohexose acyclic glycerol dialkyl glycerol tetraether; Phosphohexose crenarchaeol; Phosphohexose dicyclic glycerol dialkyl glycerol tetraether; Phosphohexose monocyclic glycerol dialkyl glycerol tetraether; Phosphohexose tricyclic glycerol dialkyl glycerol tetraether; Sample code/label; Ships non-toxic pump; Site; Stat. 06; Stat. TF 271 Stat. 4; Station 04 (TF 271); Station 09; Station label; Temperature, water; Ultra high performance liquid chromatography (UHPLC), Dionex Corporation, UltiMate 3000 RS; coupled with Single quadrupole mass spectrometer, Thermo Scientific, MSQ Plus
    Type: Dataset
    Format: text/tab-separated-values, 371 data points
    Location Call Number Limitation Availability
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  • 9
    Publication Date: 2024-06-05
    Description: Upwelling systems are significant sources of atmospheric nitrous oxide (N₂O). The Benguela Upwelling System is one of the most productive regions worldwide and a temporally variable source of N₂O. Strong O₂ depletions above the shelf are favoring periodically OMZ formations. We aimed to assess underlying N₂O production and consumption processes on different temporal and spatial scales during austral winter in the Benguela Upwelling System, when O₂-deficiency in the water column is relatively low. The fieldwork took place during the cruise M157 (August 4th – September 16th 2019) onboard the R/V METEOR. This expedition included four close-coastal regions around Walvis Bay at 23°S, which presented the lowest O₂ concentrations near the seafloor and thus may provide hotspots of N₂O production. Seawater was collected in 10 L free-flow bottles by using a rosette system equipped with conductivity-temperature-depth (CTD) sensors (SBE 911plus, Seabird-electronics, USA). Incubation experiments were performed using stable isotope ¹⁵N-tracers. Seawater samples for ¹⁵N-tracer incubations and natural abundance N₂O analysis were collected from 10 L free-flow bottles and filled bubble-free into 125 mL serum bottles. The samples for natural abundance N₂O analysis were immediately fixed with saturated HgCl₂ and stored in the dark. To perform the incubation, we added ¹⁵N-labeled NO₂-, NO₃⁻ and NH₄⁺ to estimate the in-situ N₂O production rates and associated reactions. To determine a single rate, the bottles were sacrificed after tracer addition, and within the time interval of 12 h, 24 h and 48 h by adding HgCl₂. Rates were calculated based on a linear regression over time. Total N₂O and natural abundance isotopologues of N₂O were analyzed by using an isotope ratio mass spectrometer (IRMS, Delta V Plus, Thermo Scientific). NO₂- production was additionally analyzed by transforming ¹⁵NO₂- to ¹⁵N₂O following the azide method after McIlvin & Altabet (2005) and the nitrogen isotope ratio of N₂O was measured by an IRMS. N₂ production was determined via an IRMS (Flash-EA-ConfloIV-DELTA V Advanced, Thermo Scientific) by injecting headspace from exetainers. The N₂O yield per nitrite produced and the N₂O yield during denitrification was calculated. Samples for natural abundance N₂O was sampled and measured in triplicates and is shown as an average with standard deviation (SD). In order to estimate the contribution of different N₂O producing pathways by major biological processes and the extent of N₂O reduction to N₂, the dual-isotope mapping approach was applied to natural abundance isotopologues of N₂O, which uses the relative position of background-subtracted N₂O samples in a δ¹⁵Nˢᴾ-N₂O vs. δ¹⁸O-N₂O diagram (Yu et al., 2020; Lewicka-Szczebak et al., 2020).
    Keywords: 15N-tracer; Ammonium, oxidation rate; Ammonium, oxidation rate, limit of detection; Ammonium, oxidation rate, standard error; ammonium oxidation; Anammox rate; Anammox rate, standard error; Benguela Upwelling System; BUSUC 1; Calculated; CTD/Rosette; CTD-RO; DATE/TIME; Denitrification; Denitrification rate, standard error; DEPTH, water; Event label; Field observation; Gas Chromatograph (GC), Manufacturer unknown, custom built; coupled with Isotope Ratio Mass Spectrometer (IRMS), Thermo Scientific, Delta V Plus; Isotope Ratio Mass Spectrometer (IRMS), Thermo Scientific, Delta V Advantage [Conflo IV interface]; LATITUDE; LONGITUDE; M157; M157_14-14; M157_16-25; M157_17-16; M157_2-9; Meteor (1986); N2O production rates; Namibia; Nitrate, reduction rate; Nitrate, reduction rate, limit of detection; nitrate reduction; nitrification; Nitrous oxide, limit of detection; Nitrous oxide, yield; Nitrous oxide production; Nitrous oxide production, standard error; oxygen minimum zone; Sample code/label; Site preference, N2O; Site preference, N2O, standard deviation; Stable isotope; Station label; δ15N, nitrous oxide; δ15N, nitrous oxide, standard deviation; δ15N-alpha, nitrous oxide; δ15N-alpha, nitrous oxide, standard deviation; δ15Nbeta, nitrous oxide; δ15Nbeta, nitrous oxide, standard deviation; δ18O, nitrous oxide; δ18O, nitrous oxide, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 801 data points
    Location Call Number Limitation Availability
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  • 10
    Publication Date: 2024-06-05
    Description: Upwelling systems are significant sources of atmospheric nitrous oxide (N₂O). The Benguela Upwelling System is one of the most productive regions worldwide and a temporally variable source of N₂O. Strong O₂ depletions above the shelf are favoring periodically OMZ formations. We aimed to assess underlying N₂O production and consumption processes on different temporal and spatial scales during austral winter in the Benguela Upwelling System, when O₂-deficiency in the water column is relatively low. The fieldwork took place during the cruise M157 (August 4th – September 16th 2019) onboard the R/V METEOR. This expedition included four close-coastal regions around Walvis Bay at 23°S, which presented the lowest O₂ concentrations near the seafloor and thus may provide hotspots of N₂O production. Seawater was collected in 10 L free-flow bottles by using a rosette system equipped with conductivity-temperature-depth (CTD) sensors (SBE 911plus, Seabird-electronics, USA). Incubation experiments were performed using stable isotope ¹⁵N-tracers. Seawater samples for ¹⁵N-tracer incubations and natural abundance N₂O analysis were collected from 10 L free-flow bottles and filled bubble-free into 125 mL serum bottles. The samples for natural abundance N₂O analysis were immediately fixed with saturated HgCl₂ and stored in the dark. To perform the incubation, we added ¹⁵N-labeled NO₂-, NO₃⁻ and NH₄⁺ to estimate the in-situ N₂O production rates and associated reactions. To determine a single rate, the bottles were sacrificed after tracer addition, and within the time interval of 12 h, 24 h and 48 h by adding HgCl₂. Rates were calculated based on a linear regression over time. Total N₂O and natural abundance isotopologues of N₂O were analyzed by using an isotope ratio mass spectrometer (IRMS, Delta V Plus, Thermo Scientific). NO₂- production was additionally analyzed by transforming ¹⁵NO₂- to ¹⁵N₂O following the azide method after McIlvin & Altabet (2005) and the nitrogen isotope ratio of N₂O was measured by an IRMS. N₂ production was determined via an IRMS (Flash-EA-ConfloIV-DELTA V Advanced, Thermo Scientific) by injecting headspace from exetainers. The N₂O yield per nitrite produced and the N₂O yield during denitrification was calculated. Samples for natural abundance N₂O was sampled and measured in triplicates and is shown as an average with standard deviation (SD). In order to estimate the contribution of different N₂O producing pathways by major biological processes and the extent of N₂O reduction to N₂, the dual-isotope mapping approach was applied to natural abundance isotopologues of N₂O, which uses the relative position of background-subtracted N₂O samples in a δ¹⁵Nˢᴾ-N₂O vs. δ¹⁸O-N₂O diagram (Yu et al., 2020; Lewicka-Szczebak et al., 2020).
    Keywords: 15N-tracer; Ammonium, oxidation rate; Ammonium, oxidation rate, limit of detection; Ammonium, oxidation rate, standard error; ammonium oxidation; Anammox rate; Anammox rate, standard error; Benguela Upwelling System; BUSUC 1; Calculated; CTD/Rosette; CTD-RO; DATE/TIME; Denitrification; Denitrification rate, standard error; DEPTH, water; Event label; Field observation; Gas Chromatograph (GC), Manufacturer unknown, custom built; coupled with Isotope Ratio Mass Spectrometer (IRMS), Thermo Scientific, Delta V Plus; Isotope Ratio Mass Spectrometer (IRMS), Thermo Scientific, Delta V Advantage [Conflo IV interface]; LATITUDE; LONGITUDE; M157; M157_14-14; M157_16-25; M157_17-16; M157_2-9; Meteor (1986); N2O production rates; Namibia; Nitrate, reduction rate; Nitrate, reduction rate, limit of detection; Nitrate, reduction rate, standard error; nitrate reduction; nitrification; Nitrous oxide, limit of detection; Nitrous oxide, yield; Nitrous oxide production; Nitrous oxide production, standard error; oxygen minimum zone; Sample code/label; Site preference, N2O; Site preference, N2O, standard deviation; Stable isotope; Station label; δ15N, nitrous oxide; δ15N, nitrous oxide, standard deviation; δ15N-alpha, nitrous oxide; δ15N-alpha, nitrous oxide, standard deviation; δ15Nbeta, nitrous oxide; δ15Nbeta, nitrous oxide, standard deviation; δ18O, nitrous oxide; δ18O, nitrous oxide, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 801 data points
    Location Call Number Limitation Availability
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