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  • 2010-2014  (690,451)
  • 1975-1979  (10)
  • 2013  (690,451)
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  • 1
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    Unknown
    PANGAEA
    In:  Supplement to: Cortese, Giuseppe; Dunbar, Gavin B; Carter, Lionel; Scott, George H; Bowen, M; Bostock, Helen C; Crundwell, Martin P; Hayward, Bruce William; Howard, William R; Martínez, José Ignacio; Moy, Christopher M; Neil, Helen L; Sabaa, Ashwaq T; Sturm, Arne (2013): Southwest Pacific Ocean response to a warmer world: Insights from Marine Isotope Stage 5e. Paleoceanography, 28(3), 585-598, https://doi.org/10.1002/palo.20052
    Publication Date: 2024-06-13
    Description: Paleoceanographic archives derived from 17 marine sediment cores reconstruct the response of the Southwest Pacific Ocean to the peak interglacial, Marine Isotope Stage (MIS) 5e (ca. 125 ka). Paleo-Sea Surface Temperature (SST) estimates were obtained from the Random Forest model-an ensemble decision tree tool-applied to core-top planktonic foraminiferal faunas calibrated to modern SSTs. The reconstructed geographic pattern of the SST anomaly (maximum SST between 120 and 132 ka minus mean modern SST) seems to indicate how MIS 5e conditions were generally warmer in the Southwest Pacific, especially in the western Tasman Sea where a strengthened East Australian Current (EAC) likely extended subtropical influence to ca. 45°S off Tasmania. In contrast, the eastern Tasman Sea may have had a modest cooling except around 45°S. The observed pattern resembles that developing under the present warming trend in the region. An increase in wind stress curl over the modern South Pacific is hypothesized to have spun-up the South Pacific Subtropical Gyre, with concurrent increase in subtropical flow in the western boundary currents that include the EAC. However, warmer temperatures along the Subtropical Front and Campbell Plateau to the south suggest that the relative influence of the boundary inflows to eastern New Zealand may have differed in MIS 5e, and these currents may have followed different paths compared to today.
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 2
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Zubrzycki, Sebastian; Kutzbach, Lars; Grosse, Guido; Desyatkin, Alexey; Pfeiffer, Eva-Maria (2013): Organic carbon and total nitrogen stocks in soils of the Lena River Delta. Biogeosciences, 10(6), 3507-3524, https://doi.org/10.5194/bg-10-3507-2013
    Publication Date: 2024-06-13
    Description: The Lena River Delta, which is the largest delta in the Arctic, extends over an area of 32 000 km**2 and likely holds more than half of the entire soil organic carbon (SOC) mass stored in the seven major deltas in the northern permafrost regions. The geomorphic units of the Lena River Delta which were formed by true deltaic sedimentation processes are a Holocene river terrace and the active floodplains. Their mean SOC stocks for the upper 1 m of soils were estimated at 29 kg/m**2 ± 10 kg/m**2 and at 14 kg/m**2 ± 7 kg/m**2, respectively. For the depth of 1 m, the total SOC pool of the Holocene river terrace was estimated at 121 Tg ± 43 Tg, and the SOC pool of the active floodplains was estimated at 120 Tg ± 66 Tg. The mass of SOC stored within the observed seasonally thawed active layer was estimated at about 127 Tg assuming an average maximum active layer depth of 50 cm. The SOC mass which is stored in the perennially frozen ground at the increment 50-100 cm soil depth, which is currently excluded from intense biogeochemical exchange with the atmosphere, was estimated at 113 Tg. The mean nitrogen (N) stocks for the upper 1 m of soils were estimated at 1.2 kg/m**2 ± 0.4 kg/m**2 for the Holocene river terrace and at 0.9 kg/m**2 ± 0.4 kg/m**2 for the active floodplain levels, respectively. For the depth of 1 m, the total N pool of the river terrace was estimated at 4.8 Tg ± 1.5 Tg, and the total N pool of the floodplains was estimated at 7.7 Tg ± 3.6 Tg. Considering the projections for deepening of the seasonally thawed active layer up to 120 cm in the Lena River Delta region within the 21st century, these large carbon and nitrogen stocks could become increasingly available for decomposition and mineralization processes.
    Type: Dataset
    Format: application/zip, 29 datasets
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  • 3
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Fuhlbruegge, Steffen; Krüger, Kirstin; Quack, Birgit; Atlas, Elliot L; Hepach, Helmke; Ziska, Franziska (2013): Impact of the marine atmospheric boundary layer conditions on VSLS abundances in the eastern tropical and subtropical North Atlantic Ocean. Atmospheric Chemistry and Physics, 13(13), 6345-6357, https://doi.org/10.5194/acp-13-6345-2013
    Publication Date: 2024-06-13
    Description: During the DRIVE (Diurnal and Regional Variability of Halogen Emissions) ship campaign we investigated the variability of the halogenated very short-lived substances (VSLS) bromoform (CHBr3), dibromomethane (CH2Br2) and methyl iodide (CH3I) in the marine atmospheric boundary layer in the eastern tropical and subtropical North Atlantic Ocean during May/June 2010. The highest VSLS mixing ratios were found near the Mauritanian coast and close to Lisbon (Portugal). With backward trajectories we identified predominantly air masses from the open North Atlantic with some coastal influence in the Mauritanian upwelling area, due to the prevailing NW winds. The maximum VSLS mixing ratios above the Mauritanian upwelling were 8.92 ppt for bromoform, 3.14 ppt for dibromomethane and 3.29 ppt for methyl iodide, with an observed maximum range of the daily mean up to 50% for bromoform, 26% for dibromomethane and 56% for methyl iodide. The influence of various meteorological parameters - such as wind, surface air pressure, surface air and surface water temperature, humidity and marine atmospheric boundary layer (MABL) height - on VSLS concentrations and fluxes was investigated. The strongest relationship was found between the MABL height and bromoform, dibromomethane and methyl iodide abundances. Lowest MABL heights above the Mauritanian upwelling area coincide with highest VSLS mixing ratios and vice versa above the open ocean. Significant high anti-correlations confirm this relationship for the whole cruise. We conclude that especially above oceanic upwelling systems, in addition to sea-air fluxes, MABL height variations can influence atmospheric VSLS mixing ratios, occasionally leading to elevated atmospheric abundances. This may add to the postulated missing VSLS sources in the Mauritanian upwelling region (Quack et al., 2007).
    Keywords: 1,1,1,2-Tetrafluoroethane; 1,1,2-Trichloro-1,2,2-trifluoroethane; 1,1-Dichloro-1-fluoroethane; 1,1-Difluoroethane; 1,2-Dibromotetrafluoroethane; 1,2-Dichloroethane; 1,2-Dichlorotetrafluoroethane; 1-Chlor-1,2,2,2-tetrafluorethan; 1-Chloro-1,1-difluoroethane; 23-10; ALTITUDE; Benzene; Bromochlorodifluoromethane; Bromoform; Bromomethane; Carbonyl sulfide; Chlorodibromomethane; Chlorodifluoromethane; Chloroform; Chloromethane; CT; DATE/TIME; Dibromomethane; Dichlorodifluoromethane; Dichloromethane; Dimethyl sulfate; Eastern Tropical North Atlantic; Ethyl nitrate; Event label; Isobutane; Isopentane; Isoprene; Isopropyl nitrate; LATITUDE; LONGITUDE; Methyl acetate; Methyl Chloroform; Methyl iodide; Methyl nitrate; n-Butane; n-Hexane; n-Pentane; n-Propyl nitrate; POS399/2; POS399/2-track; POS399/3; POS399/3-track; Poseidon; Propane; sec-Butyl nitrate; SOPRAN; Surface Ocean Processes in the Anthropocene; Tetrachlormethan; Tetrachloroethylene; Toluene; Trichlorfluormethan; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 7351 data points
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  • 4
    Publication Date: 2024-06-13
    Keywords: AL374; AL374_512-1; Alkor (1990); DATE/TIME; ECO2; Ocean Floor Observation System; OFOS; Oxygen; Oxygen, microelectrode; pH; pH microelectrode (MI-408 Needle, Microelectrodes); Pt-1000 temperature sensor; Sleipner; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 33803 data points
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  • 5
    Publication Date: 2024-06-13
    Keywords: AL374; AL374_496-1; Alkor (1990); DATE/TIME; ECO2; Ocean Floor Observation System; OFOS; Oxygen; Oxygen, microelectrode; pH; pH microelectrode (MI-408 Needle, Microelectrodes); Pt-1000 temperature sensor; Salt Dome Juist; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 23538 data points
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  • 6
    Publication Date: 2024-06-13
    Keywords: AL374; AL374_537-1; Alkor (1990); DATE/TIME; ECO2; Ocean Floor Observation System; OFOS; Oxygen; Oxygen, microelectrode; pH; pH microelectrode (MI-408 Needle, Microelectrodes); Pt-1000 temperature sensor; Sleipner; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 55815 data points
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  • 7
    Publication Date: 2024-06-13
    Keywords: 06MT15_2; 39KL; 47KL; 54KL; 7SL; 90-594_Site; Agassiz; Agulhas Basin; Agulhas Ridge; All5423P; AMPH-011P; AMPH-012G; AMPH-013G; AMPH-016G; AMPH-017G; AMPH-019G; AMPH01AR; AMPH-021G; AMPH-022G; AMPH-023G; AMPH-024G; AMPHITRITE; Angola Basin; ANTIPODE; ANTIPROD; ANT-IX/4; ANTP-226G; ANTP-231G; ANT-VI/3; ANT-VIII/3; ANT-X/4; ANT-X/5; ANT-X/6; ANT-XI/2; ANT-XI/4; APSARA2; APSARA4; AR1-117; AR1-119; AR1-144; AR2-113; AR2-117; AR2-128; AR2-136; AR3-25; AR3-38; AR3-45; AR4-55; AR4-56; AR4-63; Argo; Atlantic Indik Ridge; Atlantic Ocean; Atlantic Ridge; BC; Beella digitata; Bounty Trough, Southwest Pacific; Box corer; Brazil Basin; Candeina nitida; CAP-2-1BG; CAP-3HG; CAP-4BG; CAP-5HG; CAP-6HG; Cape Basin; Cardno Seamount; CH10098P; CH10-98; CIRCE; CIRCE-239; COMPCORE; Composite Core; Congo Fan; CTD, memory; CTD/Rosette; CTD-M; CTD-RO; D206; D84; Depth, bathymetric; DEPTH, sediment/rock; Discovery Seamount; DODO; DODO-117PG; DODO-119PG; DODO-121PB; DODO-126P; DODO-130G; DODO-144G; DODO-173G; DODO-191; DODO-192G; DODO-193; DODO-194; DODO-220V; DW013; DW017; DW026; DW034; DW035; DW036; DW048; DW050; DW058; DW074; DW079; DW082; DW123; DW130; DW134; DW137; DWD-123; DWD-130; DWD-134; DWD-137G; DWD-13HH; DWD-15BG; DWD-17; DWD-26; DWD-34HG; DWD-35HH; DWD-36HG; DWD-48HG; DWD-50HG; DWD-58HH; DWD-74; DWD-79; DWD-82; DWD-89HH; East Brazil Basin; Eastern Equatorial Pacific; Eastern Rio Grande Rise; eastern Romanche Fracture Zone; ELT11.010; ELT11.064; ELT11.089; ELT-1110; ELT-1164; ELT-1189; ELT-1246; Equatorial Atlantic; ERDC; ERDC-092BX; ERDC-102BX; ERDC-108BX; ERDC-112BX; ERDC-120BX; ERDC-123BX; ERDC-125BX; ERDC-128BX; ERDC-129BX; ERDC-131BX; F104; F111; F137; F149; Falkland Islands; FFC; Foraminifera, planktic; Free fall corer; GC; Genesis III, RR9702A; GeoB10008-4; GeoB10010-1; GeoB10022-6; GeoB10024-3; GeoB10025-3; GeoB10026-2; GeoB10027-3; GeoB10028-4; GeoB10029-3; GeoB10031-3; GeoB10033-3; GeoB10034-3; GeoB10036-3; GeoB10038-3; GeoB10039-3; GeoB10040-3; GeoB10041-3; GeoB10042-2; GeoB10044-3; GeoB10047-1; GeoB10049-5; GeoB10050-1; GeoB10058-1; GeoB10059-1; GeoB10061-5; GeoB10063-5; GeoB10064-5; GeoB10065-9; GeoB10067-5; GeoB10068-2; GeoB10069-4; GeoB1009-3; GeoB1015-2; GeoB1017-3; GeoB1025-2; GeoB1026-2; GeoB1027-2; GeoB1028-4; GeoB1029-1; GeoB1030-3; GeoB1031-2; GeoB1032-2; GeoB1033-3; GeoB1034-2; GeoB1035-3; GeoB1036-3; GeoB1039-1; GeoB1040-3; GeoB1041-1; GeoB1104-4; GeoB1105-4; GeoB1106-4; GeoB1108-7; GeoB1109-3; GeoB1110-4; GeoB1111-3; GeoB1112-4; GeoB1113-4; GeoB1114-4; GeoB1116-2; GeoB1117-2; GeoB1203-2; GeoB1204-3; GeoB1207-2; GeoB1208-1; GeoB1209-1; GeoB1210-3; GeoB1211-1; GeoB1215-1; GeoB1216-2; GeoB1217-1; GeoB1218-1; GeoB1220-2; GeoB1306-1; GeoB1307-2; GeoB1308-1; GeoB1309-3; GeoB1310-1; GeoB1311-2; GeoB1312-3; GeoB1313-1; GeoB1314-2; GeoB1403-2; GeoB1407-7; GeoB1408-3; GeoB1413-2; GeoB1414-2; GeoB1415-1; GeoB1418-1; GeoB1419-1; GeoB1420-1; GeoB1702-6; GeoB1704-1; GeoB1705-2; GeoB1710-2; GeoB1711-5; GeoB1712-2; GeoB1713-6; GeoB1716-2; GeoB1719-5a; GeoB1720-4; GeoB1721-4; GeoB1722-3; GeoB1725-1; GeoB1728-3; GeoB1729-1; GeoB2004-1; GeoB2016-3; GeoB2019-2; GeoB2021-4; GeoB7115-1; GeoB7121-1; GeoB7122-2; GeoB7123-1; GeoB7127-1; GeoB7129-1; GeoB7130-1; GeoB7131-1; GeoB7132-1; GeoB7133-1; GeoB7134-1; GeoB7135-1; GeoB7136-1; GeoB7137-2; GeoB7138-1; GeoB7139-1; GeoB7140-1; GeoB7141-1; GeoB7142-2; GeoB7143-1; GeoB7144-1; GeoB7145-1; GeoB7146-1; GeoB7147-1; GeoB7148-1; GeoB7149-1; GeoB7150-1; GeoB7152-1; GeoB7153-1; GeoB7154-2; GeoB7156-1; GeoB7172-3; GeoB7174-2; GeoB7175-4; GeoB7177-2; GeoB7179-1; GeoB7180-1; GeoB7181-1; GeoB7182-1; GeoB7183-1; GeoB7186-1; GeoB7187-1; GeoB7189-1; GeoB7190-1; GeoB7191-1; GeoB7192-1; GeoB7193-1; GeoB7194-1; GeoB7195-1; GeoB7197-1; GeoB7207-1; GeoB7209-2; GeoB7211-1; GeoB7212-1; GeoB7213-1; GeoB7214-1; Giant box corer; GIK16772-1; GIK16773-2; GIK16774-3; GIK16868-2; GIK16870-1; GIK16871-1; GIK16872-1; GKG; Globigerina bulloides; Globigerina falconensis; Globigerinella adamsi; Globigerinella aequilateralis; Globigerinella calida; Globigerinita glutinata; Globigerinita iota; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber; Globigerinoides sacculifer; Globigerinoides tenellus; Globoconella inflata; Globoquadrina conglomerata; Globorotaloides hexagonus; Glomar Challenger; Grab; GRAB; Gravity corer; Gravity corer (Kiel type); GS900937; GS900938; GS900940; Guinea Basin; H211; H347; Hikurangi margin; Hirsutella hirsuta; Hirsutella scitula; Hirsutella theyeri; Horizon; Hunter Channel; Indian Ocean; Islas Orcadas; KL; KR88-01; KR88-03; KR88-05; KR88-06; KR88-07; KR88-10; KR88-11; KR88-12; KR88-13; LATITUDE; Leg90; LONGITUDE; LSDA; LSDA-103V; LSDA-106G; LSDA-107GB; LSDA-113G; LSDA-117G; LSDA-128G; LSDA-129G; LSDA-131G; LSDA-133GB; LSDA-136G; LSDH; LSDH-009V; LSDH-025V; LSDH-033G; LSDH-038V; LSDH-058G; LSDH-062G; LSDH-064PG; LSDH-065G; LSDH-066PG; LSDH-067P; LSDH-068P; LSDH-068PG; LSDH-076P; LSDH-076PG; LSDH-077G; LSDH-078P; LSDH-079P; LUSIAD-A; LUSIAD-H; M12/1; M15/2; M16/1; M20/2; M23/1; M6/5; M6/6; M70-PC-49; M9/4; Marion Dufresne (1972); MD00; MD38; MD65; MD73023; MD73026; MD73029; MD76-005; MD76-009; MD76-010; MD76-011; MD79-254; MD79-257; MD79-260; MD79-261; MD79275; MD79277; MD80-304; MD84-568; MD84-569; MD85663; MD85668; MD88-770; MD88-774; MD88-795; MD90-937; MD90-938; MD90-940; MD94-02; MD94-06; MD94-07; MD94-107; ME0005A; ME0005A-29MC2; Melville; Menardella menardii; Meteor (1986); Meteor Rise; MG3; MIC; Mid Atlantic Ridge; MiniCorer; MONS01AR-MONS08AR; MONSOON; MSN; MSN-104P; MSN-126G; MSN-128G; MSN-135PG; MSN-136G; MSN-137GP; MSN-138G; MSN-45G; MSN-55G; MSN-56PG; MSN-63G; MSN-90G; MSN-92PG; MSN-93G; MUC; MultiCorer; Multiple opening/closing net; Namibia Continental Margin; Namibia continental slope; NEMO; Neogloboquadrina dutertrei; Neogloboquadrina pachyderma dextral; Neogloboquadrina pachyderma sinistral; NOVA05AR-053P; NOVA-A; NOVA-A36; NOVA-A40; NOVA-A53; NOVA-H20; off Chile; off Gabun; Orbulina universa; OSIRIS4; OSIRIS I; P69; PABESIA; Pacific Ocean; PC; Piston corer; Piston corer (BGR type); PLDS-001G; PLDS-1; Pleiades; Polarstern; PROA; PROA-048G; PROA-057G; PROA-066G; PROA-067G; PROA-083P; PROA-084PG; PROA-085P-2; PROA-086PG; PROA-118G; PROA-122G; PROA-124G1; PS12; PS12/557; PS16; PS16/278; PS16/284; PS16/294; PS16/334; PS16/337; PS16/342; PS16/345; PS16/351; PS1654-1; PS1754-2; PS1756-6; PS1759-1; PS1775-5; PS1776-6; PS1777-7; PS1778-1; PS1779-3; PS18; PS18/231; PS18/232; PS18/239; PS18/241; PS18/242; PS18/243; PS18/244; PS18/260; PS18/261; PS18/262; PS18/263; PS18/264; PS2075-3; PS2076-1; PS2083-1; PS2084-2; PS2085-1; PS2086-3; PS2087-1; PS2102-2; PS2103-2; PS2104-1; PS2105-2; PS2106-1; PS21 06AQANTX_4; PS22; PS22/842; PS22/850; PS22/851; PS22/852; PS22/853; PS22/899; PS22/902; PS22/908; PS22/947; PS22/973; PS22 06AQANTX_5; PS2230-1; PS2241-1; PS2242-1; PS2343-1; PS2351-1; PS2352-1; PS2353-2; PS2354-1; PS2366-1; PS2367-1; PS2368-1; PS2372-1; PS2376-1; PS2487-2; PS2489-4; PS2494-1; PS2495-1; PS2496-2; PS2498-2; PS2499-1; PS2500-1; PS2505-1; PS2507-1; PS2508-1; PS2518-2; PS2520-1; PS2557-2; PS2560-4; PS28; PS28/236; PS28/256; PS28/289; PS28/293; PS28/298; PS28/304; PS28/314; PS28/316; PS28/342; PS28/347; PS28/350; PS28/395; PS28/408; PS30; PS30/004; PS30/023; PUCK; Pulleniatina obliquiloculata; Q200; Q203; Q208; Q215; Q216; Q217; Q220; Q575; Q582; Q585; Q859; R657; RC08; RC08-102; RC08-16; RC08-18; RC08-22; RC08-23; RC08-27; RC08-28; RC08-39; RC08-40; RC08-41; RC08-46; RC08-50; RC08-51; RC08-52; RC08-53; RC08-60; RC08-61; RC08-62; RC08-63; RC08-64; RC08-69; RC08-77; RC08-91; RC08-93; RC09; RC09-104; RC09-110; RC09-112; RC09-121; RC09-124; RC09-125; RC09-126; RC09-127; RC09-128; RC09-129; RC09-131; RC09-132; RC09-133; RC09-134; RC09-139; RC09-140; RC09-143; RC09-144; RC09-147; RC09-150; RC10; RC10-114; RC10-115; RC10-117; RC10-131; RC10-135; RC10-139; RC10-140; RC10-141; RC10-142; RC10-143; RC10-144; RC11; RC11-103; RC11-106; RC11-111; RC11-116; RC11-117; RC11-118; RC1112; RC11-120; RC11-121;
    Type: Dataset
    Format: text/tab-separated-values, 51295 data points
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  • 8
    Publication Date: 2024-06-12
    Type: info:eu-repo/semantics/lecture
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  • 9
    Publication Date: 2024-06-12
    Type: info:eu-repo/semantics/other
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  • 10
    Publication Date: 2024-06-12
    Type: info:eu-repo/semantics/lecture
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