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  • 2020-2024  (7)
  • 1980-1984
  • 2023  (7)
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  • 2020-2024  (7)
  • 1980-1984
Year
  • 1
    Publication Date: 2023-08-28
    Description: Manganese nodules and crusts from the Pacific and the Indian oceans were analyzed at Scripps Institution of Oceanography using atomic absorption spectrophotometry (AAS). Samples were ground to 〈 74 microns, pressed into pellets and dried at 110 Degrees Centigrade.
    Keywords: Aluminium; Argo; Arsenic; Atomic absorption spectrophotometry; Barium; BC; BOMDROP; Box corer; Cadmium; Calcium; Carbon; Chromium; CNEXO-A1; CNEXO-A4; CNEXO-B11; CNEXO-B2; CNEXO-B5; CNEXO-B6; CNEXO-B9; Cobalt; Copper; Deposit type; DEPTH, sediment/rock; DODO; DODO-007D; DODO-013D; DOMES Site A, Pacific Ocean; DOMES Site B, Pacific Ocean; DOMES Site C, Pacific Ocean; Dredge; DRG; DSV53P-8; Elevation of event; Event label; FFGR; Free-fall grab; Geochemistry; Halbach4; Identification; Indian Ocean; Iron; Kana Keoki; KKMN7503; Latitude of event; Lead; Lithium; Longitude of event; Magnesium; Manganese; manganese micronodule; manganese nodule; Mercury; MN7503-01G20; Molybdenum; Nickel; NIXO_cruises; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; ocean; Oceanographer; Pacific Ocean; Phosphorus; Potassium; Prospector; Prospector-53; RP6OC75; RP6OC75-18A-36; RP-8-OC-75; RP8OC7503; RP8OC75-46-07; RP8OC75-47-12; RP8OC75-47-13; RP8OC75-48-21; RP8OC75-49-25; RP8OC75-49-27; RP8OC75-50-28; RP8OC75-50-29; RP8OC75-50-30; RP8OC75-50-32; RP8OC75-54-49; RP8OC76; RP-8-OC-76; RP8OC76-14-20; RP8OC76-21-27; RP8OC76-3-8; RP8OC76-6-11; Sample type; sediment; Selenium; Shackleton; Shackleton75/5; Shackleton75/5_1307; Shape; Size; Sodium; Strontium; Sulfur; Texture; Thallium; Thorium; Titanium; Uranium; VA-05/1; VA-05/1_13B; Valdivia (1961); Vanadium; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 863 data points
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  • 2
    Publication Date: 2023-09-26
    Description: For assessing their desulfuration and mineral potential, manganese rich concretions were selected from the stations of the AMC-11-67 cruise performed by ESSA (NOAA) in October 1967 and analysed by the Kennecott Copper Corporation.
    Keywords: AMC11-67; AMC1167-13A; AMC1167-14B; AMC1167-15; AMC1167-16; AMC1167-26; AMC1167-58C; AMC1167-58D; AMC1167-64; AMC1167-68; Blake Plateau, Atlantic Ocean; Boron; Calcium; Cobalt; Copper; Deposit type; Description; Discoverer (1966); Dredge; DRG; Elevation of event; Event label; Geochemistry; Identification; Iron; Latitude of event; Longitude of event; Magnesium; Manganese; manganese micronodule; manganese nodule; Molybdenum; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; ocean; Phosphorus; sediment; Titanium; Vanadium; Wet chemistry
    Type: Dataset
    Format: text/tab-separated-values, 153 data points
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  • 3
    Publication Date: 2023-08-28
    Description: Manganese nodules and crusts from the Pacific Ocean were analyzed at Scripps Institution of Oceanography using X-ray emission spectrometry (XES). Samples were ground to 〈 74 microns, pressed into pellets and dried at 110 Degrees Centigrade. They were analyzed by XES for 400 seconds.
    Keywords: Agassiz; Argo; BC; BENTHIFACE; BNFC02MV; BNFC02MV-015P; BNFC15P; BOMDROP; Box corer; Calcium; CNEXO-A1; CNEXO-A2; CNEXO-A3; CNEXO-A4; CNEXO-A5; CNEXO-B1; CNEXO-B10; CNEXO-B11; CNEXO-B12; CNEXO-B13; CNEXO-B2; CNEXO-B3; CNEXO-B4; CNEXO-B5; CNEXO-B6; CNEXO-B7; CNEXO-B8; CNEXO-B9; Cobalt; Copper; Deposit type; DEPTH, sediment/rock; DODO; DODO-007D; DODO-013D; DOMES Site A, Pacific Ocean; DOMES Site B, Pacific Ocean; DOMES Site C, Pacific Ocean; Dredge; Dredge, pipe; DRG; DRG_P; DSV53P-8; Elevation of event; Event label; FFGR; Free-fall grab; Geochemistry; Grab; GRAB; Halbach4; Identification; Indian Ocean; Iron; Kana Keoki; KKMN7503; Latitude of event; Lead; Longitude of event; Manganese; manganese micronodule; manganese nodule; Melville; Mn-74-01-007-FFG-030; Mn-74-01 IODE; Mn-74-02-13B-BC-002; Mn-74-02 IDOE DOMES; MN7503-01G20; MN76-01, Pleiades; Moana Wave; MW7401; MW7401-07G30; MW7402; MW7402-13BC02; Nickel; NIXO; NIXO_cruises; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; ocean; Oceanographer; Pacific Ocean; PC; Piston corer; PLDS01MV-001D; PLDS04MV-D08; PLDS-1; PLDS-4; Pleiades; Prospector; Prospector-53; RP6OC75; RP6OC75-18A-36; RP-8-OC-75; RP8OC7503; RP8OC75-46-07; RP8OC75-47-12; RP8OC75-47-13; RP8OC75-48-21; RP8OC75-49-25; RP8OC75-49-27; RP8OC75-50-28; RP8OC75-50-29; RP8OC75-50-30; RP8OC75-50-32; RP8OC75-54-49; RP8OC76; RP-8-OC-76; RP8OC76-14-20; RP8OC76-21-27; RP8OC76-3-8; RP8OC76-6-11; Sample type; sediment; Shackleton; Shackleton75/5; Shackleton75/5_1307; Shape; Size; Station 20D08MN7601; STYX_I; STYX01AZ; STYXI-10FF; STYXI-2FF; STYXI-8FF; STYXI-9FF; Texture; VA-05/1; VA-05/1_13B; Valdivia (1961); X-ray emission spectrometry; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 1703 data points
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  • 4
    Publication Date: 2023-08-28
    Description: Manganese nodules from the Pacific Ocean were analyzed at Scripps Institution of Oceanography using X-ray fluorescence. Samples were ground to 〈 74 microns, pressed into pellets and dried at 110 Degrees Centigrade.
    Keywords: BC; Box corer; Cobalt; Copper; Deposit type; DEPTH, sediment/rock; DOMES Site A, Pacific Ocean; DOMES Site B, Pacific Ocean; DOMES Site C, Pacific Ocean; Elevation of event; Event label; Geochemistry; Identification; Iron; Latitude of event; Longitude of event; Manganese; manganese micronodule; manganese nodule; Nickel; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; ocean; Oceanographer; RP-8-OC-75; RP8OC7503; RP8OC75-46-07; RP8OC75-47-12; RP8OC75-47-13; RP8OC75-48-21; RP8OC75-49-25; RP8OC75-49-27; RP8OC75-50-28; RP8OC75-50-29; RP8OC75-50-30; RP8OC75-50-32; RP8OC75-54-49; RP8OC76; RP-8-OC-76; RP8OC76-14-20; RP8OC76-21-27; RP8OC76-3-8; RP8OC76-6-11; Sample type; sediment; Shape; Texture; X-ray fluorescence (XRF); Zinc
    Type: Dataset
    Format: text/tab-separated-values, 1361 data points
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  • 5
    Publication Date: 2024-02-07
    Description: Valdivia Bank (VB) is a Late Cretaceous oceanic plateau formed by volcanism from the Tristan-Gough hotspot at the Mid-Atlantic Ridge (MAR). To better understand its origin and evolution, magnetic data were used to generate a magnetic anomaly grid, which was inverted to determine crustal magnetization. The magnetization model reveals quasi-linear polarity zones crossing the plateau and following expected MAR paleo-locations, implying formation by seafloor spreading over ∼4 Myr during the formation of anomalies C34n-C33r. Paleomagnetism and biostratigraphy data from International Ocean Discovery Program Expedition 391 confirm the magnetic interpretation. Anomaly C33r is split into two negative bands, likely by a westward ridge jump. One of these negative anomalies coincides with deep rift valleys, indicating their age and mechanism of formation. These findings imply that VB originated by seafloor spreading-type volcanism during a plate reorganization, not from a vertical stack of lava flows as expected for a large volcano. Key Points - Valdivia Bank is characterized by quasi-linear magnetic anomalies that are parallel to the inferred paleo-Mid-Atlantic Ridge - Magnetic anomalies imply that the plateau becomes younger E-W consistent with formation via seafloor spreading during anomalies C34n-C33r - Rift valleys, division of C33r, and anomaly curvature imply complex ridge tectonics and a ridge jump
    Type: Article , PeerReviewed
    Format: text
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  • 6
    Publication Date: 2024-02-07
    Description: The uptake of dissolved oxygen from the atmosphere via air-sea gas exchange and its physical transport away from the region of uptake are crucial for supplying oxygen to the deep ocean. This process takes place in a few key regions that feature intense oxygen uptake, deep water formation, and physical oxygen export. In this study we analyze one such region, the Labrador Sea, utilizing the World Ocean Database (WOD) to construct a 65–year oxygen content time series in the Labrador Sea Water (LSW) layer (0–2200 m). The data reveal decadal variability associated with the strength of deep convection, with a maximum anomaly of 27 mol m–2 in 1992. There is no long-term trend in the time series, suggesting that the mean oxygen uptake is balanced by oxygen export out of the region. We compared the time series with output from nine models of the Ocean Model Intercomparison Project phase 1 in the Climate Model Intercomparison Project phase 6, (CMIP6-OMIP1), and constructed a “model score” to evaluate how well they match oxygen observations. Most CMIP6-OMIP1 models score around 50/100 points and the highest score is 57/100 for the ensemble mean, suggesting that improvements are needed. All of the models underestimate the maximum oxygen content anomaly in the 1990s. One possible cause for this is the representation of air-sea gas exchange for oxygen, with all models underestimating the mean uptake by a factor of two or more. Unrealistically deep convection and biased mean oxygen profiles may also contribute to the mismatch. Refining the representation of these processes in climate models could be vital for enhanced predictions of deoxygenation. In the CMIP6-OMIP1 multi-model mean, oxygen uptake has its maximum in 1980–1992, followed by a decrease in 1994–2006. There is a concurrent decrease in export, but oxygen storage also changes between the two periods, with oxygen accumulated in the first period and drained out in the second. Consequently, the change in oxygen export (5%) is much less than that in uptake (28%), suggesting that newly ventilated LSW which remains in the formation region acts to buffer the linkage between air-sea gas exchange and oxygen export.
    Type: Article , PeerReviewed
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  • 7
    Publication Date: 2024-04-08
    Description: The Observing Air–Sea Interactions Strategy (OASIS) is a new United Nations Decade of Ocean Science for Sustainable Development programme working to develop a practical, integrated approach for observing air–sea interactions globally for improved Earth system (including ecosystem) forecasts, CO2 uptake assessments called for by the Paris Agreement, and invaluable surface ocean information for decision makers. Our “Theory of Change” relies upon leveraged multi-disciplinary activities, partnerships, and capacity strengthening. Recommendations from 〉40 OceanObs’19 community papers and a series of workshops have been consolidated into three interlinked Grand Ideas for creating #1: a globally distributed network of mobile air–sea observing platforms built around an expanded array of long-term time-series stations; #2: a satellite network, with high spatial and temporal resolution, optimized for measuring air–sea fluxes; and #3: improved representation of air–sea coupling in a hierarchy of Earth system models. OASIS activities are organized across five Theme Teams: (1) Observing Network Design & Model Improvement; (2) Partnership & Capacity Strengthening; (3) UN Decade OASIS Actions; (4) Best Practices & Interoperability Experiments; and (5) Findable–Accessible–Interoperable–Reusable (FAIR) models, data, and OASIS products. Stakeholders, including researchers, are actively recruited to participate in Theme Teams to help promote a predicted, safe, clean, healthy, resilient, and productive ocean.
    Type: Article , PeerReviewed
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