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  • Elsevier  (5,804,766)
  • PANGAEA  (422,910)
  • Public Library of Science  (275,023)
  • Blackwell Publishing Ltd  (182,058)
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  • 1
    Publication Date: 2024-06-11
    Description: Highlights • Statistically different gas geochemistry was observed in two adjacent springs. • About 74% of helium was contributed by the mantle. • Excess N2 relative to Ar was attributed to subducted materials and seawater mixing. • Magmatic CO2 has been largely removed by calcite precipitation in the reaction zone. • The residual CO2 may also be supplied by microbial oxidation of alkanes. Gas emissions from hydrothermal systems can serve as indicators of subsurface activity. In addition to gas sources, hydrothermal gas geochemistry is strongly influenced by secondary processes that occur during/after hydrothermal circulation. Here, we observed statistically significant differences in the geochemical characteristics (except for helium isotopes) of bubbling gases discharged from two adjacent vents in the Northern Luzon Arc. Helium (3He/4He = 4.25–7.09 Ra) in both vents was controlled by mixing between mantle and crustal components, where about 74% of helium was contributed by the mantle. Differences in N2/Ar ratios (∼ 300–330) of the two neighboring springs are attributed to subducted materials and seawater mixing (contributing ∼2.5% N2 and Ar), rather than phase separation in the reaction zone. Specifically, Ar was mainly supplied by atmospheric components that dissolved in the percolated seawater with only 8%–9% contributed by the excess radiogenic 40Ar. Excess N2 relative to Ar was mainly supplied by the decomposition of subducted materials (83%–92%) of the South China Sea plate beneath the Philippine Sea Plate. The Lutao gases showed low CO2 concentrations (0.07–22.2 mmol/mol), despite the high 3He/4He ratios indicating a significant contribution of magmatic components. Magmatic CO2 may have been largely consumed by the high Ca Lutao vent fluids via carbonate precipitation in the reaction zone. Alternatively, stable carbon isotope compositions (δ13C) indicate that Lutao CO2 may be supplied by microbial oxidation of alkanes (e.g., CH4 with concentrations of 14.6–173 mmol/mol in the samples), with fractionation factor ΔCO2–CH4 ranging from −15‰ to −25‰ and conversion rates of 〈10%. Up to 65% of the CO2 in the 2016 samples experienced secondary calcite precipitation in the discharge zone. Our results indicate that recycled subducted materials could potentially affect the geochemical characteristics of gases discharged from arc-volcanic systems. In addition, the influence of secondary processes needs to be considered before tracing the sources of hydrothermal fluids and/or gases, especially in shallow-water hydrothermal systems.
    Type: Article , PeerReviewed
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  • 2
    Publication Date: 2024-06-11
    Description: Abundant mineral resources in the deep sea are prospected for mining for the global metal market. Seafloor massive sulphide (SMS) deposits along the Mid-Atlantic Ridge are one of the potential sources for these metals. The extraction of SMS deposits will expose adjacent marine ecosystems to suspended particle plumes charged with elevated concentrations of heavy metals and other potentially toxic compounds. Up to date there is no information about the impact of mining activities on deep-sea benthic ecosystems such as abundant deep-sea sponge grounds in the North Atlantic Ocean. Sponge grounds play a major role in benthic-pelagic coupling and represent an important habitat for a diversity of vertebrates, invertebrates and microorganisms. To simulate the effects of mining plumes on benthic life in the deep sea, we exposed Geodia barretti, a dominant sponge species in the North Atlantic Ocean, and an associated brittle star species from the genus Ophiura spp. to a field-relevant concentration of 30 mg L−1 suspended particles of crushed SMS deposits. Three weeks of exposure to suspended particles of crushed SMS resulted in a tenfold higher rate of tissue necrosis in sponges. All brittle stars in the experiment perished within ten days of exposure. SMS particles were evidently accumulated in the sponge's mesohyl and concentrations of iron and copper were 10 times elevated in SMS exposed individuals. Oxygen consumption and clearance rates were significantly retarded after the exposure to SMS particles, hampering the physiological performance of G. barretti. These adverse effects of crushed SMS deposits on G. barretti and its associated brittle star species potentially cascade in disruptions of benthic-pelagic coupling processes in the deep sea. More elaborate studies are advisable to identify threshold levels, management concepts and mitigation measures to minimize the impact of deep-sea mining plumes on benthic life.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
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  • 3
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-06-10
    Keywords: ARK-XXVI/1; Attenuation, optical beam transmission; AWI_PhyOce; Calculated; Computed; Conductivity; CTD, SEA-BIRD SBE 911plus, SN T1373-C3590; CTD/Rosette; CTD-RO; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; Fluorometer; Fluorometer, Dr. Haardt Instruments; Latitude of event; Longitude of event; North Greenland Sea; Norwegian Sea; Number of observations; Oxygen; Oxygen saturation; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS78; PS78/002-1; PS78/003-1; PS78/009-1; PS78/010-1; PS78/011-1; PS78/012-1; PS78/013-1; PS78/014-1; PS78/019-6; PS78/020-1; PS78/021-1; PS78/022-1; PS78/023-1; PS78/024-1; PS78/025-1; PS78/029-1; PS78/030-1; PS78/031-1; PS78/032-1; PS78/033-1; PS78/034-1; PS78/035-1; PS78/036-1; PS78/037-1; PS78/038-1; PS78/039-1; PS78/040-1; PS78/041-1; PS78/042-1; PS78/043-1; PS78/044-1; PS78/047-1; PS78/048-1; PS78/049-1; PS78/050-1; PS78/051-1; PS78/054-1; PS78/055-1; PS78/056-1; PS78/057-1; PS78/059-1; PS78/060-1; PS78/061-1; PS78/062-1; PS78/063-1; PS78/064-1; PS78/065-1; PS78/066-1; PS78/067-1; PS78/068-1; PS78/069-1; PS78/070-1; PS78/071-1; PS78/072-1; PS78/073-1; PS78/074-1; PS78/075-1; PS78/076-1; PS78/077-1; PS78/078-1; PS78/084-1; PS78/085-1; PS78/087-1; PS78/088-1; PS78/089-1; PS78/092-1; PS78/093-1; PS78/094-1; PS78/095-1; PS78/096-1; PS78/097-1; PS78/098-1; PS78/099-1; PS78/100-1; PS78/101-1; PS78/102-2; PS78/103-1; PS78/104-1; PS78/105-1; PS78/106-1; PS78/107-1; PS78/108-1; PS78/109-1; PS78/110-1; PS78/111-1; PS78/112-1; PS78/113-1; PS78/114-1; PS78/115-1; PS78/116-1; PS78/117-1; PS78/118-1; PS78/119-1; PS78/120-1; PS78/121-1; PS78/122-1; PS78/123-1; PS78/124-1; PS78/125-1; PS78/126-1; PS78/127-2; PS78/130-1; PS78/131-1; PS78/132-1; PS78/133-1; PS78/134-1; PS78/135-1; PS78/136-2; PS78/137-1; Salinity; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 1792889 data points
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  • 4
    Publication Date: 2024-06-10
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD/Rosette; CTD 10; CTD 11; CTD 12; CTD 13; CTD 14; CTD 15; CTD 16; CTD 17; CTD 18; CTD 19; CTD 20; CTD 22; CTD 24; CTD 25; CTD 26; CTD 27; CTD 28; CTD 29; CTD 3; CTD 30; CTD 31; CTD 32; CTD 33; CTD 34; CTD 35; CTD 36; CTD 37; CTD 38; CTD 4; CTD 40; CTD 42; CTD 43; CTD 44; CTD 46; CTD 47; CTD 48; CTD 49; CTD 5; CTD 50; CTD 51; CTD 52; CTD 53; CTD 54; CTD 55; CTD 56; CTD 57; CTD 58; CTD 59; CTD 6; CTD 60; CTD 61; CTD 62; CTD 63; CTD 64; CTD 65; CTD 66; CTD 7; CTD 8; CTD 9; CTD-RO; DATE/TIME; Event label; Image number/name; Individuals per unit volume; M96; M96_1004-1; M96_1012-1; M96_1020-1; M96_1026-1; M96_1034-1; M96_1040-1; M96_1047-1; M96_1054-1; M96_1061-1; M96_1067-1; M96_1084-1; M96_1085-1; M96_622-1; M96_626-1; M96_629-1; M96_632-1; M96_636-1; M96_637-1; M96_640-1; M96_649-1; M96_650-1; M96_654-1; M96_660-1; M96_670-1; M96_680-1; M96_681-1; M96_692-1; M96_701-1; M96_712-1; M96_722-1; M96_728-1; M96_755-1; M96_769-1; M96_777-1; M96_785-1; M96_793-1; M96_800-1; M96_808-1; M96_814-1; M96_823-1; M96_830-1; M96_839-1; M96_847-1; M96_855-1; M96_863-1; M96_871-1; M96_872-1; M96_887-1; M96_905-1; M96_913-1; M96_920-1; M96_937-1; M96_945-1; M96_954-1; M96_962-1; M96_970-1; M96_979-1; M96_985-1; M96_990-1; M96_998-1; Meteor (1986); Particle concentration, fractionated; Particle volume, fractionated; Pressure, water; Profile ID; Sample code/label; Sample elevation; SFB754; Volume
    Type: Dataset
    Format: text/tab-separated-values, 4616044 data points
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  • 5
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    Unknown
    PANGAEA
    In:  Supplement to: Fiedler, Björn; Fietzek, Peer; Vieira, Nuno; Silva, Pericles; Bittig, Henry; Körtzinger, Arne (2013): In Situ CO2 and O2 Measurements on a Profiling Float. Journal of Atmospheric and Oceanic Technology, 30(1), 112-126, https://doi.org/10.1175/JTECH-D-12-00043.1
    Publication Date: 2024-06-10
    Description: In recent years, profiling floats, which form the basis of the successful international Argo observatory, are also being considered as platforms for marine biogeochemical research. This study showcases the utility of floats as a novel tool for combined gas measurements of CO2 partial pressure (pCO2) and O2. These float prototypes were equipped with a small-sized and submersible pCO2 sensor and an optode O2 sensor for highresolution measurements in the surface ocean layer. Four consecutive deployments were carried out during November 2010 and June 2011 near the Cape Verde Ocean Observatory (CVOO) in the eastern tropical North Atlantic. The profiling float performed upcasts every 31 h while measuring pCO2, O2, salinity, temperature, and hydrostatic pressure in the upper 200 m of the water column. To maintain accuracy, regular pCO2 sensor zeroings at depth and surface, as well as optode measurements in air, were performed for each profile. Through the application of data processing procedures (e.g., time-lag correction), accuracies of floatborne pCO2 measurements were greatly improved (10-15 µatm for the water column and 5 µatm for surface measurements). O2 measurements yielded an accuracy of 2 µmol/kg. First results of this pilot study show the possibility of using profiling floats as a platform for detailed and unattended observations of the marine carbon and oxygen cycle dynamics.
    Keywords: Carbon dioxide, partial pressure; CVOO Floater; DATE/TIME; deployment_d4; deployment_d5; deployment_d6; deployment_d7; DEPTH, water; Event label; LATITUDE; LONGITUDE; Nemo float; NFLOAT; off Cape Verde Islands; Oxygen; Pressure, water; Profile ID; Salinity; SOPRAN; Surface Ocean Processes in the Anthropocene; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 509900 data points
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  • 6
    Publication Date: 2024-06-10
    Keywords: 10; 100; 101; 102; 103; 104; 105; 106; 107; 108; 109; 11; 110; 111; 112; 113; 114; 115; 116; 117; 118; 119; 12; 120; 121; 122; 123; 124; 125; 126; 127; 128; 129; 13; 130; 131; 132; 133; 134; 135; 136; 137; 138; 139; 14; 140; 141; 142; 143; 144; 145; 146; 147; 148; 149; 15; 150; 151; 152; 153; 154; 155; 156; 157; 158; 159; 16; 160; 17; 18; 19; 20; 21; 22; 23; 24; 25; 26; 27; 28; 29; 3; 30; 31; 32; 33; 34; 35; 36; 37; 38; 39; 4; 40; 41; 42; 43; 44; 45; 46; 47; 48; 49; 5; 50; 51; 52; 53; 54; 55; 56; 57; 58; 59; 6; 60; 61; 62; 63; 64; 65; 66; 67; 68; 69; 7; 70; 71; 72; 73; 74; 75; 76; 77; 78; 79; 8; 80; 81; 82; 83; 84; 85; 86; 87; 88; 89; 9; 90; 91; 92; 93; 94; 95; 96; 97; 98; 99; Ammonium; Bottle number; Cape Verde; Carbon, organic, particulate; Chlorophyll a; Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Event label; Flag; Fluorescence; Freon-12 (dichlorodifluoromethane); LATITUDE; LONGITUDE; M105; M105_180-1; M105_181-1; M105_182-1; M105_183-1; M105_184-1; M105_185-1; M105_186-1; M105_186-3; M105_187-1; M105_188-1; M105_189-1; M105_190-1; M105_190-3; M105_191-2; M105_192-2; M105_192-3; M105_194-2; M105_195-1; M105_196-1; M105_197-1; M105_198-1; M105_199-1; M105_200-1; M105_201-1; M105_201-3; M105_201-5; M105_202-1; M105_203-1; M105_205-1; M105_206-1; M105_207-2; M105_208-1; M105_209-1; M105_209-3; M105_210-1; M105_211-1; M105_211-3; M105_212-1; M105_213-1; M105_213-2; M105_214-1; M105_215-1; M105_216-1; M105_217-1; M105_218-1; M105_219-1; M105_220-1; M105_221-1; M105_222-1; M105_223-2; M105_224-1; M105_225-2; M105_226-1; M105_227-1; M105_228-1; M105_229-1; M105_230-1; M105_231-1; M105_232-1; M105_232-3; M105_233-1; M105_234-1; M105_235-1; M105_236-1; M105_237-1; M105_238-1; M105_238-3; M105_239-1; M105_240-1; M105_241-1; M105_242-1; M105_243-1; M105_244-1; M105_245-1; M105_246-1; M105_246-3; M105_247-1; M105_248-1; M105_249-1; M105_250-2; M105_251-1; M105_252-1; M105_253-1; M105_254-1; M105_255-1; M105_255-3; M105_256-1; M105_257-1; M105_258-1; M105_259-1; M105_259-3; M105_260-1; M105_261-1; M105_262-1; M105_263-1; M105_264-1; M105_265-1; M105_265-3; M105_266-1; M105_267-1; M105_268-1; M105_269-1; M105_270-1; M105_271-1; M105_272-1; M105_273-1; M105_273-3; M105_274-1; M105_275-1; M105_276-1; M105_277-1; M105_278-1; M105_279-1; M105_280-1; M105_281-1; M105_281-3; M105_282-1; M105_283-1; M105_284-1; M105_285-1; M105_286-4; M105_287-1; M105_288-1; M105_289-1; M105_290-1; M105_291-1; M105_292-1; M105_293-1; M105_294-1; M105_295-1; M105_296-1; M105_296-3; M105_297-1; M105_298-1; M105_299-1; M105_299-3; M105_300-1; M105_301-1; M105_302-2; M105_303-1; M105_304-1; M105_305-1; M105_306-1; M105_307-1; M105_308-1; M105_309-1; M105_310-1; M105_310-3; M105_311-1; M105_312-2; M105_313-1; M105_314-2; M105_315-1; M105_316-1; M105_317-1; M105_318-2; M105_319-1; M105_320-2; Meteor (1986); Nitrate and Nitrite; Nitrogen, organic, particulate; Oxygen; Phosphate; Phosphorus, organic, particulate; Pressure, water; Profile ID; Salinity; Sample code/label; SFB754; Silicate; Station label; Sulfur hexafluoride, SF6; Temperature, water; Trifluoromethyl sulfur pentafluoride
    Type: Dataset
    Format: text/tab-separated-values, 51182 data points
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  • 7
    Publication Date: 2024-06-10
    Keywords: Alkalinity, total; Bottle number; Carbon, inorganic, dissolved; Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD; CTD/Rosette; CTD 1; CTD 10; CTD 11; CTD 12; CTD 13; CTD 14; CTD 15; CTD 16; CTD 17; CTD 18; CTD 19; CTD 2; CTD 20; CTD 21; CTD 22; CTD 23; CTD 24; CTD 25; CTD 26; CTD 27; CTD 28; CTD 29; CTD 3; CTD 30; CTD 31; CTD 32; CTD 33; CTD 34; CTD 35; CTD 36; CTD 37; CTD 38; CTD 39; CTD 4; CTD 40; CTD 41; CTD 42; CTD 43; CTD 44; CTD 45; CTD 46; CTD 47; CTD 48; CTD 49; CTD 5; CTD 50; CTD 51; CTD 52; CTD 53; CTD 54; CTD 55; CTD 56; CTD 57; CTD 58; CTD 59; CTD 6; CTD 60; CTD 61; CTD 62; CTD 63; CTD 64; CTD 65; CTD 66; CTD 67; CTD 68; CTD 69; CTD 7; CTD 70; CTD 71; CTD 72; CTD 74; CTD 75; CTD 76; CTD 77; CTD 78; CTD 79; CTD 8; CTD 81; CTD 82; CTD 9; CTD-RO; DATE/TIME; Event label; Flag; Freon-12 (dichlorodifluoromethane); LATITUDE; LONGITUDE; M116/1; M116/1_473-1; M116/1_475-1; M116/1_476-1; M116/1_477-1; M116/1_478-1; M116/1_479-1; M116/1_480-1; M116/1_481-1; M116/1_482-1; M116/1_483-1; M116/1_484-1; M116/1_485-1; M116/1_486-1; M116/1_487-1; M116/1_488-1; M116/1_489-1; M116/1_490-1; M116/1_491-1; M116/1_492-1; M116/1_493-1; M116/1_494-1; M116/1_495-1; M116/1_496-1; M116/1_497-1; M116/1_498-1; M116/1_499-1; M116/1_500-1; M116/1_501-1; M116/1_502-1; M116/1_503-1; M116/1_504-1; M116/1_505-1; M116/1_506-1; M116/1_507-1; M116/1_508-1; M116/1_509-1; M116/1_510-1; M116/1_511-1; M116/1_512-1; M116/1_513-1; M116/1_514-1; M116/1_515-1; M116/1_516-1; M116/1_517-1; M116/1_518-1; M116/1_519-1; M116/1_520-1; M116/1_521-1; M116/1_522-1; M116/1_523-1; M116/1_524-1; M116/1_525-1; M116/1_526-1; M116/1_527-1; M116/1_528-1; M116/1_529-1; M116/1_530-1; M116/1_531-1; M116/1_532-1; M116/1_533-1; M116/1_534-1; M116/1_535-1; M116/1_536-1; M116/1_537-1; M116/1_538-1; M116/1_539-1; M116/1_540-1; M116/1_541-1; M116/1_542-1; M116/1_543-1; M116/1_544-1; M116/1_545-1; M116/1_547-1; M116/1_548-1; M116/1_549-1; M116/1_550-1; M116/1_551-1; M116/1_552-1; M116/1_554-1; M116/1_555-1; Meteor (1986); Nitrate; Nitrite; OSTRE_IV; Oxygen; Phosphate; Pressure, water; Profile ID; Salinity; SALINO; Salinometer; Sample code/label; SFB754; Silicate; Station label; Sulfur hexafluoride, SF6; Temperature, water; Trifluoromethyl sulfur pentafluoride
    Type: Dataset
    Format: text/tab-separated-values, 47753 data points
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  • 8
    Publication Date: 2024-06-10
    Keywords: ANT-IV/3; AWI_Paleo; Code; CT; DATE/TIME; Date/time end; File name; File size; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; Profile ID; PS08; PS08/3-track; Underway cruise track measurements; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 396 data points
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  • 9
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-06-10
    Keywords: ANT-I/2; AWI_Paleo; CT; Date/time end; Date/time start; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; Profile ID; PS01; PS01/2-track; Swath-mapping system SeaBeam; Underway cruise track measurements; Uniform resource locator/link to graphic
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
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  • 10
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    Unknown
    PANGAEA
    In:  IFM-GEOMAR Leibniz-Institute of Marine Sciences, Kiel University
    Publication Date: 2024-06-10
    Keywords: CTD; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Latitude of event; Longitude of event; POS350; POS350_290-1; Poseidon; Pressure, water; Profile ID; Salinity; Temperature, water; Yoyo1- Station
    Type: Dataset
    Format: text/tab-separated-values, 74800 data points
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