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  • 1
    Publication Date: 2023-01-30
    Description: Continental shelves tend to have high standing stocks of organic carbon and high rates of primary production relative to the open ocean and serve as important link between land and the ocean interior and between the sediment and the water column, playing a key role in the N and C balance, and accounting for up to 50% of the total N loss. One of the widest continental shelves in the eastern South Pacific (ESP) is present off central Chile (36°S). This is an important geographic feature in terms of physical and biological interactions owing to the large area available for coupling between the benthic and pelagic systems. In addition, this area is subjected to a strong coastal upwelling during austral spring and summer; when winds shift to a predominantly northward direction, stressing the sea surface layer and producing an intense cross-shelf transport and uplift of Equatorial Subsurface waters (ESSW) over the shelf. The ESSW, characterized by high NO3- and low O2 content, promotes surface fertilization and, subsequently, intense organic matter respiration and remineralization at depth, along with an efflux of subsurface-accumulated N2O (Farías et al. 2009, Cornejo & Farías, 2012). Thus, periods of maximum productivity and intense suboxia, or even anoxia, when diverse electron donors (e.g., organic matter, NH4+, NO2-, H2S) are present, represent a potential hotspot for fixed N removal processes. We present a data set that has been obtained during different FIP cruises (Fondo de Investigaciones Pesqueras) (2005-2009) which consisted of several transects perpendicular to the coast between 35° and 40°S and from the coast to 77.8° W (central Chile). Data collected include classical oceanographic variables including N2O and important greenhouse gas.
    Keywords: Abate Molina; Automated WInkler method (AULOX); Colorimetry, flow-segmented (Grasshoff et al. 1983); Cruise/expedition; CTD/Rosette; CTD-O probe; CTD-RO; Date/Time of event; DEPTH, water; eastern South Pacific; Event label; Gas chromatograph (Shimadzu 17A) with an electron capture detector (ECD); Greenhouse gases; Latitude of event; Longitude of event; MOBIO; MOBIO-2005-1; MOBIO-2005-10; MOBIO-2005-11; MOBIO-2005-13; MOBIO-2005-17; MOBIO-2005-20; MOBIO-2005-21; MOBIO-2005-23; MOBIO-2005-25; MOBIO-2005-27; MOBIO-2005-3; MOBIO-2005-30; MOBIO-2005-31; MOBIO-2005-33; MOBIO-2005-35; MOBIO-2005-37; MOBIO-2005-40; MOBIO-2005-41; MOBIO-2005-43; MOBIO-2005-45; MOBIO-2005-47; MOBIO-2005-5; MOBIO-2005-50; MOBIO-2005-7; MOBIO-2006-1; MOBIO-2006-11; MOBIO-2006-12; MOBIO-2006-13; MOBIO-2006-14; MOBIO-2006-15; MOBIO-2006-16; MOBIO-2006-17; MOBIO-2006-18; MOBIO-2006-19; MOBIO-2006-2; MOBIO-2006-20; MOBIO-2006-21; MOBIO-2006-22; MOBIO-2006-23; MOBIO-2006-25; MOBIO-2006-26; MOBIO-2006-27; MOBIO-2006-28; MOBIO-2006-29; MOBIO-2006-3; MOBIO-2006-30; MOBIO-2006-31; MOBIO-2006-32; MOBIO-2006-33; MOBIO-2006-34; MOBIO-2006-35; MOBIO-2006-36; MOBIO-2006-37; MOBIO-2006-38; MOBIO-2006-39; MOBIO-2006-4; MOBIO-2006-40; MOBIO-2006-41; MOBIO-2006-42; MOBIO-2006-43; MOBIO-2006-45; MOBIO-2006-47; MOBIO-2006-48; MOBIO-2006-49; MOBIO-2006-5; MOBIO-2006-50; MOBIO-2006-6; MOBIO-2006-7; MOBIO-2006-8; MOBIO-2008-10; MOBIO-2008-11; MOBIO-2008-12; MOBIO-2008-13; MOBIO-2008-14; MOBIO-2008-15; MOBIO-2008-16; MOBIO-2008-17; MOBIO-2008-18; MOBIO-2008-2; MOBIO-2008-20; MOBIO-2008-21; MOBIO-2008-22; MOBIO-2008-23; MOBIO-2008-25; MOBIO-2008-26; MOBIO-2008-27; MOBIO-2008-28; MOBIO-2008-29; MOBIO-2008-3; MOBIO-2008-30; MOBIO-2008-31; MOBIO-2008-32; MOBIO-2008-33; MOBIO-2008-34; MOBIO-2008-35; MOBIO-2008-36; MOBIO-2008-38; MOBIO-2008-39; MOBIO-2008-4; MOBIO-2008-40; MOBIO-2008-41; MOBIO-2008-42; MOBIO-2008-43; MOBIO-2008-44; MOBIO-2008-45; MOBIO-2008-46; MOBIO-2008-47; MOBIO-2008-48; MOBIO-2008-5; MOBIO-2008-52; MOBIO-2008-53; MOBIO-2008-54; MOBIO-2008-55; MOBIO-2008-56; MOBIO-2008-57; MOBIO-2008-58; MOBIO-2008-6; MOBIO-2008-62; MOBIO-2008-63; MOBIO-2008-64; MOBIO-2008-65; MOBIO-2008-66; MOBIO-2008-67; MOBIO-2008-7; MOBIO-2008-73; MOBIO-2008-74; MOBIO-2008-75; MOBIO-2008-76; MOBIO-2008-77; MOBIO-2008-78; MOBIO-2008-79; MOBIO-2008-8; MOBIO-2008-80; MOBIO-2008-81; MOBIO-2008-82; MOBIO-2008-83; MOBIO-2008-84; MOBIO-2008-85; MOBIO-2008-86; MOBIO-2008-9; MOBIO-2009-10; MOBIO-2009-11; MOBIO-2009-13; MOBIO-2009-15; MOBIO-2009-16; MOBIO-2009-17; MOBIO-2009-18; MOBIO-2009-19; MOBIO-2009-2; MOBIO-2009-20; MOBIO-2009-22; MOBIO-2009-23; MOBIO-2009-24; MOBIO-2009-25; MOBIO-2009-26; MOBIO-2009-27; MOBIO-2009-28; MOBIO-2009-30; MOBIO-2009-32; MOBIO-2009-33; MOBIO-2009-34; MOBIO-2009-35; MOBIO-2009-37; MOBIO-2009-38; MOBIO-2009-39; MOBIO-2009-4; MOBIO-2009-41; MOBIO-2009-42; MOBIO-2009-6; MOBIO-2009-8; MOBIO-2009-9; Nitrate; Nitrite; nitrogen cycle; nitrous oxide; Nitrous oxide, dissolved; nutrients; oceanography; Oxygen, dissolved; Phosphate; Salinity; Silicate; Station label; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 9902 data points
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  • 2
    Publication Date: 2023-07-13
    Description: Seawater samples were collected in four stations along a cross-shore transect in front of the Port of Mazatlán (Mexico) during the oceanographic cruise Maz V (April 2019) on board the R/V “El Puma” (UNAM). Samples were collected at different depths based on the oxygen and chlorophyll-a profiles: surface (5 m depth); mixed layer, deep chlorophyll maximum (at 10–45 m depth); oxycline, base of the oxycline (at 60–125 m depth); upper OMZ; OMZ core (at 250 m depth); and bottom (between 23 m depth in S1 and 670 m depth in S4). Total N and P were determined using a Skalar San-Plus segmented-flow autoanalyzer. Dissolved gases were analyzed through the addition of 5 mL of ultrapure helium into the vials to generate a static-headspace equilibration. N2O was analyzed with a Varian 3380 gas chromatograph using an electron capture detector. CH4 was analyzed with a Schimadzu 17A gas chromatograph with a flame ionization detector and a capillary column.
    Keywords: Campaign; CTD, Sea-Bird, SBE 19plus; Depth, description; DEPTH, water; El Nino Southern Oscillation; El Puma; Event label; Gas chromatograph, Shimadzu, 17A; Gas chromatograph, Varian, Inc.. 3380; Maz_V_S1; Maz_V_S2; Maz_V_S3; Maz_V_S4; Maz V; Methane, dissolved; Mexican Pacific; Nitrogen, total; nitrogen genes; Nitrous oxide, dissolved; oxygen minimum zone; Phosphorus, total; Port of Mazatlán; prokaryotic community; Sample code/label; Segmented flow auto-analyzer, Skalar Analytical B.V, San++; Station label
    Type: Dataset
    Format: text/tab-separated-values, 192 data points
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  • 3
    Publication Date: 2023-07-13
    Description: Hydrographic data and seawater samples were collected in four stations along a cross-shore transect in front of the Port of Mazatlán (Mexico) during the oceanographic cruises Maz IV (April 2018) and Maz V (April 2019) on board the R/V “El Puma” (UNAM). Temperature, dissolved oxygen, salinity, and chlorophyll-a fluorescence profiles were measured with a SBE-19plus CTD probe equipped with a WET labs fluorometer sensor. Seawater samples for nutrient analyses were collected at different depths based on the oxygen and chlorophyll-a profiles: surface (5 m depth); mixed layer, deep chlorophyll maximum (at 10–45 m depth); oxycline, base of the oxycline (at 60–125 m depth); upper OMZ (only for Maz V); OMZ core (at 250 m depth); and bottom (between 23 m depth in S1 and 670 m depth in S4). Seawater samples were filtered through cellulose acetate syringe filters (0.22-μm pore, Merck Millipore) and nutrient analyses were determined using a Skalar San-Plus segmented-flow autoanalyzer.
    Keywords: Campaign; Chlorophyll a; CTD, Sea-Bird, SBE 19plus; CTD, Sea-Bird, SBE 25plus; Date/Time of event; Depth, description; DEPTH, water; El Nino Southern Oscillation; El Puma; Event label; Latitude of event; Longitude of event; Maz_IV_S1; Maz_IV_S2; Maz_IV_S3; Maz_IV_S4; Maz_V_S1; Maz_V_S2; Maz_V_S3; Maz_V_S4; Maz IV; Maz V; Mexican Pacific; Nitrate; nitrogen genes; Nitrogen in ammonium; Nitrogen in nitrite; Oxygen; oxygen minimum zone; Phosphorus in orthophosphate; Port of Mazatlán; prokaryotic community; Salinity; Sample code/label; Segmented flow auto-analyzer, Skalar Analytical B.V, San++; Silicon dioxide; Station label; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 585 data points
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  • 4
    Publication Date: 2023-07-13
    Description: Seawater samples were collected with 10-L Niskin bottles in four stations along a cross-shore transect in front of the Port of Mazatlán (Mexico) during the oceanographic cruises Maz IV (April 2018) and Maz V (April 2019) on board the R/V “El Puma” (UNAM). Samples for molecular analyses (16S rRNA sequences) were collected at different depths based on the oxygen and chlorophyll-a profiles: surface (5 m depth); deep chlorophyll maximum (at 10–45 m depth, except in the coastal station S1 of Maz V where a sample was collected at the mixed layer); base of the oxycline (at 60–125 m depth); OMZ core (only for Maz IV at 250 m depth); and bottom (between 23 m depth in S1 and 670 m depth in S4). Water samples were filtered on board through polycarbonate membranes (0.22-μm pore, Merck Millipore). Genomic DNA was extracted with the DNeasy PowerWater Kit (Qiagen). The V3–V4 region of the 16S rRNA gene was amplified using the index and adaptor-linked primers Bakt_341F and Bakt_805R, and then sequenced using a 2 × 300 bp paired-end Illumina Miseq system. Amplicon libraries were analyzed with the software QIIME 2.
    Keywords: Campaign; Clade; CTD, Sea-Bird, SBE 19plus; Date/Time of event; Depth, description; El Nino Southern Oscillation; El Puma; Event label; Latitude of event; Longitude of event; Maz_IV_S1; Maz_IV_S2; Maz_IV_S3; Maz_IV_S4; Maz_V_S1; Maz_V_S2; Maz_V_S3; Maz_V_S4; Maz IV; Maz V; Mexican Pacific; MiSeq sequencer (DNA sequencer); nitrogen genes; oxygen minimum zone; Port of Mazatlán; prokaryotic community; Sample code/label; Sequence abundance; Station label
    Type: Dataset
    Format: text/tab-separated-values, 11328 data points
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  • 5
    Publication Date: 2023-07-13
    Description: Seawater samples were collected with 10-L Niskin bottles in four stations along a cross-shore transect in front of the Port of Mazatlán (Mexico) during the oceanographic cruises Maz IV (April 2018) and Maz V (April 2019) on board the R/V "El Puma" (UNAM). Samples for molecular analyses (abundance of N-cycling genes) were collected at different depths based on the oxygen and chlorophyll-a profiles: surface (5 m depth); mixed layer, deep chlorophyll maximum (at 10–45 m depth); oxycline, base of the oxycline (at 60–125 m depth); upper OMZ (only for Maz V); OMZ core (at 250 m depth); and bottom (between 23 m depth in S1 and 670 m depth in S4). Water samples were filtered on board through polycarbonate membranes (0.22-μm pore, Merck Millipore). Genomic DNA was extracted with the DNeasy PowerWater Kit (Qiagen). The abundance of N-cycling genes was assessed using the gene copy number of bacterial and archaeal amoA, anammox bacterial 16S rRNA, nirK, nirS, and nrfA, using a StepOnePlus real-time PCR system (Applied Biosystems).
    Keywords: Campaign; CTD, Sea-Bird, SBE 19plus; Date/Time of event; Depth, description; DEPTH, water; Elevation of event; El Nino Southern Oscillation; El Puma; Event label; Gene copies per volume; Gene name; Latitude of event 2; Longitude of event; Maz_IV_S1; Maz_IV_S2; Maz_IV_S3; Maz_IV_S4; Maz_V_S1; Maz_V_S2; Maz_V_S3; Maz_V_S4; Maz IV; Maz V; Mexican Pacific; nitrogen genes; oxygen minimum zone; Port of Mazatlán; prokaryotic community; Real-Time PCR, Applied Biosystems, StepOnePlus; Sample code/label; Station label
    Type: Dataset
    Format: text/tab-separated-values, 1620 data points
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  • 6
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    Unknown
    PANGAEA
    In:  Supplement to: Lambert, Fabrice; Tagliabue, Alessandro; Shaffer, Gary; Lamy, Frank; Winckler, Gisela; Farías, Laura; Gallardo, Laura; De Pol-Holz, Ricardo (2015): Dust fluxes and iron fertilization in Holocene and Last Glacial Maximum climates. Geophysical Research Letters, 42(14), 6014-6023, https://doi.org/10.1002/2015GL064250
    Publication Date: 2023-10-19
    Description: Mineral dust aerosols play a major role in present and past climates. To date, we rely on climate models for estimates of dust fluxes to calculate the impact of airborne micronutrients on biogeochemical cycles. Here we provide a new global dust flux data set for Holocene and Last Glacial Maximum (LGM) conditions based on observational data. A comparison with dust flux simulations highlights regional differences between observations and models. By forcing a biogeochemical model with our new data set and using this model's results to guide a millennial-scale Earth System Model simulation, we calculate the impact of enhanced glacial oceanic iron deposition on the LGM-Holocene carbon cycle. On centennial timescales, the higher LGM dust deposition results in a weak reduction of 〈10 ppm in atmospheric CO2 due to enhanced efficiency of the biological pump. This is followed by a further ~10 ppm reduction over millennial timescales due to greater carbon burial and carbonate compensation.
    Type: Dataset
    Format: application/x-netcdf, 769.4 kBytes
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  • 7
    facet.materialart.
    Unknown
    PANGAEA
    In:  Departamento de Oceanografia, Universidad de Conceptión
    Publication Date: 2023-07-29
    Description: Between February 8th and March 4th 2007 an oceanographic cruise (Galathea 3 expedition) on board of Research Vessel Vædderen (Denmark) was performed Legs 13 and 14 of that expedition were devoted to the study of the oxygen minimum zone off northern Chile and Peru The cruise track covered the area between Valparaiso-Chile (32°S) and northern Peru (7.5°S) from total amount of 18 stations visited, we present 21 station with relatively high vertical resolution of Nitrous oxide and other variables. The main objective of the cruise was to study of low oxygen conditions over microbial communities and metabolic pathways related to the N and C cycles. In this region, an emblematic Oxygen Minimum Zone (OMZ), mainly defined by the presence of Subsurface Equatorial Waters (ESSW) between 50 and 400 m depth. These waters determine an important role of the eastern South Pacific in global climate related to the production of green house gases such as CO2, CH4 and N2O. During the cruise researcher was focused on several mechanisms of N and C transformation in the OMZ such as Fixation of molecular nitrogen (N2) and nitrous oxide (N2O) in surface waters and the core of the oxygen minimum zone and production and consumption of N2O by denitrificion and even nitrification. Continuously sampled variables are temperature, salinity and disolved oxygen, obtained unsing a CTD-O probe (SeaBird). Discretely sampled variables are water samples, collected using Niskin bottles attached to rosette sampler, in order to obtain discrete measurements of dissolver oxygen (O2) and nutrients (NO3, NO2, SiO4 and PO43). Discrete samples of DO (in triplicate) were analyzed using the AULOX measurement system, an automatic Winkler method. Samples for NO2, NO3 and PO4 (15 mL in triplicate) were filtered (using a 0.45 μm GF/F glass filter) and stored (frozen) until analysis, using standard colorimetric techniques (Grasshoff, 1983). Measurements of NH4 (40 mL, in triplicate) were carried out using the fluorometric method proposed by Holmes et al. (1999). N2O and CH4 samples were taken in triplicate in 20 mL vials and carefully sealed to avoid air bubbles. They were then preserved with 50 μL of saturated HgCl2 and stored in darkness until analysis. N2O and CH4 was analyzed by creating a 5 mL headspace of ultrapure Helium and then equilibrated to 40◦C. Mesurements were carried out through gas chromatography using an electron capture detector (Varian 3380) and Flame Ionization detector (Shimadzu 17A), respectively. The calibration curves used 0.1, 0.5, and 1 ppm of N2O standards and 1, 2.5, 5 and 10 ppm of CH4 standards, both curves used pure He as 0 value. The analytical error for N2O measurements was ~3% and ~5% for CH4. CH4 was manually analyzed through a capillary column GS-Q (J&W, 0.53 mm×30 m) and 30°C oven temperature The uncertainty of the measurements was calculated from the standard deviation of the triplicate measurements by depth. Samples with a variation coefficient above 10% were not considered.
    Keywords: Ammonium; Basis of event; Campaign of event; CTD/Rosette; CTD-O probe; CTD-RO; Date/Time of event; Day; DEPTH, water; Eastern South Pacific ocean; Event label; Fluorometric; Galathea_13-1; Galathea_13-2; Galathea_14-1; Galathea_14-100; Galathea_14-111; Galathea_14-114; Galathea_14-121; Galathea_14-122; Galathea_14-14; Galathea_14-17; Galathea_14-2; Galathea_14-21; Galathea_14-31; Galathea_14-47; Galathea_14-6; Galathea_14-66; Galathea_14-7; Galathea_14-73; Galathea_14-74; Galathea_14-77; Galathea_14-86; Galathea_14-96; Galathea 3; Gas chromatograph, Varian, Inc.. 3380; Gas chromatography and Flame Ionization Detection (Shimadzu 17A); Greenhouse gases; HDMS Vaedderen; Latitude of event; Longitude of event; Manually after Grasshoff et al. (1983); Methane; Month; Nitrate; Nitrite; nitrogen cycle; nitrous oxide; Nitrous oxide, dissolved; nutrients; oceanography; Oxygen; Phosphate; Salinity; Sample code/label; South Atlantic Ocean; Station label; Temperature, water; Years
    Type: Dataset
    Format: text/tab-separated-values, 1647 data points
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  • 8
    Publication Date: 2023-11-21
    Description: Between October 12 and November 5, 2015, the Cimar 21 “Ocean Islands” cruise was developed, organized and managed by the Navy's Hydrographic and Oceanographic Service (SHOA). This cruise covered the zonal transect in the subtropical region of the Eastern South Pacific Basin from Caldera (27.00°S; 70.88°W) to near Rapa Nui Island (27.04°S; 109.31°W). This region is characterized by presenting very contrasting trophic systems; from the coastal zone with eutrophic (rich in nutrients), colder and suboxic ([O2] 〈22 µM); to ultra-oligotrophic (with undetectable nutrient levels Raimbault et al., 2008), warmer and oxygenated waters that belong to South Pacific Subtropical Gyre, which has the clearest waters of the global ocean (Morel et al., 2010). In addition to trophic gradient, the Eastern South Pacific region presents an oxygen minimum zone (OMZ (Fuenzalida et al, 2009) with marked oxygen gradients where various biogeochemical processes can recycle greenhouse gases such as nitrous oxide (N2O) (Trocoso et al., 2018) and even methane (CH4) (Farías et al., 2021). From a total of 19 stations sampled, we present a set of data collected between 0 and 500 m depth using a CTD rosette for physicochemical variables such as temperature, salinity and oxygen (obtained from the CTD) and nutrients (nitrite, nitrate, phosphate, silicate) and greenhouse gases N2O and CH4 (obtained from Niskin bottles mounted in an oceanographic rosette). The gas samples were analyzed by gas chromatography through a gas chromatograph (Schimadzu 17A) using an electron capture detector at 350ºC and connected to an autoanalyzer, while the CH4 samples were analyzed manually in a chromatograph gas with flame ionization detector (Agilent Model 6850 GC-Fid) with a Restek RT QS-Bond column (30 meters 053 mm ID, 20 μm Film) with a temperature of 40ºC and a column flow of 4mL min-1. Meanwhile, nutrient samples with micromolar concentration (≥ 1 µM) were analyzed using standard colorimetric techniques (Grasshoff et al., 1983) in a Seal AA3 segmented flow auto-analyzer, whereas when the nutrient concentration was submicromolar (〈 1 µM) for samples of nitrite, nitrate, and phosphate in the gyre, the Seal AA3 segmented flow autoanalyzer was used coupled to two 50 cm Liquid waveridge capillary cells (LWCC, Type II), which allowed to increase the sensitivity of the detection spectrophotometric (Troncoso et al., 2018).
    Keywords: AGS 61 Cabo de Hornos; CIMAR_21; CIMAR-21_01_CTD; CIMAR-21_03_CTD; CIMAR-21_06_CTD; CIMAR-21_09_CTD; CIMAR-21_11_CTD; CIMAR-21_13_CTD; CIMAR-21_16_CTD; CIMAR-21_18_CTD; CIMAR-21_20_CTD; CIMAR-21_24_CTD; CIMAR-21_26_CTD; CIMAR-21_30_CTD; CIMAR-21_40_CTD; CIMAR-21_46_CTD; CIMAR-21_59_CTD; CIMAR-21_64_CTD; CIMAR-21_66_CTD; CIMAR-21_71_CTD; CIMAR-21_79_CTD; CTD/Rosette; CTD-RO; CTD with attached oxygen sensor; DATE/TIME; DEPTH, water; Eastern South Pacific ocean; Event label; Gas chromatograph, Agilent 6850, coupled with a flame ionization detector; Gas chromatograph (Shimadzu 17A) with an electron capture detector (ECD); Greenhouse gases; Instrument; LATITUDE; LONGITUDE; Methane; Nitrate; Nitrite; nitrous oxide; Nitrous oxide, dissolved; nutrients; Oxygen; Phosphate; Salinity; SEAL AA3 segmented flow autoanalyzer; SEAL AA3 segmented flow autoanalyzer coupled to two 50 cm Liquid waveridge capillary cells (LWCC, Type II); Silicic acid; South Pacific Ocean; Station label; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 2157 data points
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  • 9
    Publication Date: 2023-08-05
    Description: Nitrous oxide (N2O) is an important atmospheric trace gas involved in tropospheric warming and stratospheric ozone depletion. The ocean is a net source of this gas, contributing around 25% of global N2O sources, although this emission is highly variable. It is the case of eastern South Pacific, a region with marked zonal gradients, ranging from highly productive and suboxic conditions in coastal upwelling systems to oligotrophic and oxygenated conditions in the subtropical gyre. Indeed, South Pacific Ocean has the largest permanent anticyclonic oceanic gyre which has been described as the most oligotrophic zone in the world ocean. Nitrous oxide concentration in the water column was measured on a transect crossing the Subtropical South Pacific Gyre during the BIOSOPE cruise (austral spring, 2004). This dataset includes nitrous oxide and nutrient concentrations at different depths from French program BIOSOPE, funded by the Centre National de la Recherche Scientifique (CNRS), the Institut des Sciences de l'Univers (INSU), the Centre National d'Etudes Spatiales (CNES), the European Space Agency (ESA), The National Aeronautics and Space Administration (NASA) and the Natural Sciences and Engineering Research Council of Canada (NSERC). Nitrous oxide measurements belong to Concepción University.
    Keywords: Basis of event; BIOSOPE; BIOSOPE_GYR6; BIOSOPE_HLN10; BIOSOPE_HLN11; BIOSOPE_HLN12; BIOSOPE_HLN13; BIOSOPE_HLN14; BIOSOPE_HLN15; BIOSOPE_HLN16; BIOSOPE_HLN17; BIOSOPE_HLN2; BIOSOPE_HLN3; BIOSOPE_HLN4; BIOSOPE_HLN5; BIOSOPE_HLN6; BIOSOPE_HLN7; BIOSOPE_HLN8; BIOSOPE_HLN9; BIOSOPE_Marq5; BIOSOPE_STA4; Campaign of event; Central Pacific; central South Pacific; CTD, Seabird; CTD, Sea-Bird, SBE43; CTD-R; Date/Time of event; Density, mass density; DEPTH, water; Discrete Analyzer (DA); Dissolved nitrous oxide; Event label; L Atalante; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrous oxide, dissolved; Nitrous oxide saturation; Oxygen; Phosphate; Salinity; Silicate; subtropical area; Technicon Autoanalyser (Tréguer & Le Corre, 1975); Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 719 data points
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  • 10
    facet.materialart.
    Unknown
    PANGAEA
    In:  Departamento de Oceanografia, Universidad de Concepción | Supplement to: Carrasco, Cristina; Karstensen, Johannes; Farías, Laura (2017): On the Nitrous Oxide Accumulation in Intermediate Waters of the Eastern South Pacific Ocean. Frontiers in Marine Science, 4, https://doi.org/10.3389/fmars.2017.00024
    Publication Date: 2023-12-16
    Description: Nitrous oxide (N2O) is a powerful greenhouse gas principally produced by nitrification and denitrification in the marine environment. Observations were made in the eastern South Pacific (ESP), between 10º and 60°S, and ~75° to 88°W, from intermediate waters targeting Antarctic Intermediate Water (AAIW) at potential density of 27.0-27.1 kg m-3. Between 60° to 20°S, a gradual equatorward increase of N2O from 8 to 26 nmol L-1 was observed at density 27.0-27.1 kg m-3 where AAIW penetrates. Positive correlations were found between apparent N2O production (∆N2O) and O2 utilization (AOU), and between ∆N2O and NO3-, which suggested that local N2O production is predominantly produced by nitrification. Closer to the equator, between 20° and 10°S at AAIW core, a strong N2O increase up to 75 nmol L-1 was observed. Because negative correlations were found between ∆N2O vs. NO3- and ∆N2O vs. N* (a Nitrogen deficit index) and because ∆N2O and AOU do not follow a linear trend, we suspect that, in addition to nitrification, denitrification also takes place in N2O cycling. By making use of water mass mixing analyses, we show that an increase in N2O occurs in the region where high oxygen from AAIW merges with low oxygen from Equatorial Subsurface Water (ESSW), creating favorable conditions for local N2O production. We conclude that the non-linearity in the relationship between N2O and O2 is a result of mixing between two water masses with very different source characteristics, paired with the different time frames of nitrification and denitrification processes that impact water masses en route before they finally meet and mix in the ESP region.
    Keywords: Abate Molina; BiG_RAPA-1; BiG_RAPA-2; BiG_RAPA-3; BiG_RAPA-4; BiG RAPA; Biogeochemical Gradients: Role in Arranging Planktonic Assemblages; BIOSOPE; BIOSOPE-1; BIOSOPE-11; BIOSOPE-15; BIOSOPE-19; BIOSOPE-49; BIOSOPE-7; Cruise/expedition; CTD/Rosette; CTD-O probe; CTD-RO; DATE/TIME; Density, mass density; DEPTH, water; Dissolved oxygen, automated Winkler (Strickland & Parsons, 1972); Event label; Galathea_10-1; Galathea_11-1; Galathea_12-2; Galathea_13-2; Galathea_14-2; Galathea_15-2; Galathea_16-2; Galathea_17-2; Galathea_18-2; Galathea_19-2; Galathea_20-2; Galathea_21-3; Galathea_22-3; Galathea_23-3; Galathea_24-3; Galathea_25-3; Galathea_26-3; Galathea_27-3; Galathea_28-3; Galathea_29-3; Galathea_30-3; Galathea_3-1; Galathea_31-10; Galathea_31-11; Galathea_31-3; Galathea_31-4; Galathea_31-5; Galathea_31-6; Galathea_31-7; Galathea_31-8; Galathea_31-9; Galathea_4-1; Galathea_5-1; Galathea_6-1; Galathea_7-1; Galathea_8-1; Galathea_9-1; Galathea 3; Greenhouse gases; HDMS Vaedderen; Headspace Gas Chromatography, Perkin-Elmer; Knorr; KNR182-7; KNR182-7-CTD100; KNR182-7-CTD26; KNR182-7-CTD27; KNR182-7-CTD40; KNR182-7-CTD49; KNR182-7-CTD53; KNR182-7-CTD62; KNR182-7-CTD65; KNR182-7-CTD69; KNR182-7-CTD73; KNR182-7-CTD76; KNR182-7-CTD81; KNR182-7-CTD84; KNR182-7-CTD88; KNR182-7-CTD9; KNR182-7-CTD93; KNR182-7-CTD96; KNR182-9; KNR182-9-CTD1; KNR182-9-CTD10; KNR182-9-CTD13; KNR182-9-CTD14; KNR182-9-CTD15; KNR182-9-CTD16; KNR182-9-CTD17; KNR182-9-CTD18; KNR182-9-CTD3; KNR182-9-CTD4; KNR182-9-CTD5; KNR182-9-CTD6; KNR182-9-CTD7; KNR182-9-CTD8; KNR182-9-CTD9; L Atalante; Latitude of event; Longitude of event; Melville; Mirai; MOBIO; MOBIO-2006-15; MOBIO-2006-16; MOBIO-2006-18; MOBIO-2006-19; MOBIO-2006-20; MOBIO-2006-25; MOBIO-2006-26; MOBIO-2006-27; MOBIO-2006-28; MOBIO-2006-29; MOBIO-2006-30; MOBIO-2006-34; MOBIO-2006-35; MOBIO-2006-37; MOBIO-2006-38; MOBIO-2006-39; MOBIO-2006-4; MOBIO-2006-40; MOBIO-2006-43; MOBIO-2006-47; MOBIO-2006-48; MOBIO-2006-49; MOBIO-2006-5; MOBIO-2006-50; MOBIO-2006-6; MOBIO-2006-7; MOBIO-2006-8; MR03-K04-10; MR03-K04-14; MR03-K04-18; MR03-K04-22; MR03-K04-3; MR03-K04 Leg1; nitrate; Nitrate; nitrite; Nitrite; nitrogen cycle; nitrous oxide; Nitrous oxide, dissolved; oceanography; Oxygen; Phosphate; Salinity; Seawater analysis after Grasshoff et al., 1983 (Verlag Chemie GmbH Weinheim); silicate; Silicate; Station label; Temperature; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 11930 data points
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