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  • PANGAEA  (94,388)
  • De Gruyter
  • Frontiers Media SA
  • Molecular Diversity Preservation International
  • 2020-2024  (41,510)
  • 2000-2004  (64,385)
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Year
  • 1
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    Abundance of calcareous dinoflagellates of sediment cores from the South Atlantic Ocean (2000)
    PANGAEA
    In:  Supplement to: Esper, Oliver; Zonneveld, Karin A F; Höll, Christine; Karwath, Britta; Schneider, Ralph R; Vink, Annemiek; Weise-Ihlo, Ilka; Willems, Helmut (2000): Reconstruction of palaeoceanographic conditions in the South Atlantic Ocean at the last two Terminations based on calcareous dinoflagllate cysts. International Journal of Earth Sciences, 88(4), 680-693, https://doi.org/10.1007/s005310050297
    Details
    Publication Date: 2024-06-26
    Description: Despite the increasing interest in the South Atlantic Ocean as a key area of the heat exchange between the southern and the northern hemisphere, information about its palaeoceanographic conditions during transitions from glacial to interglacial stages, the so-called Terminations, are not well understood. Herein we attempt to increase this information by studying the calcareous dinoflagellate cysts and the shells of Thoracosphaera heimii (calcareous cysts) of five Late Quaternary South Atlantic Ocean cores. Extremely high accumulation rates of calcareous cysts at the Terminations might be due to a combined effect of increased cyst production and better preservation as result of calm, oligotrophic conditions in the upper water layers. Low relative abundance of Sphaerodinella albatrosiana compared with Sphaerodinella tuberosa in the Cape Basin may be the result of the relatively colder environmental conditions in this region compared with the equatorial Atlantic Ocean with high relative abundance of S. albatrosiana. Furthermore, the predominance of S. tuberosa during glacials and interglacials at the observed site of the western Atlantic Ocean reflects decreased salinity in the upper water layer.
    Keywords: Brazil Basin; Cape Basin; Equatorial Atlantic; GeoB; GeoB1105-4; GeoB1117-2; GeoB1214-1; GeoB2204-2; GeoB3603-2; Geosciences, University of Bremen; Gravity corer (Kiel type); M12/1; M23/3; M34/1; M9/4; Meteor (1986); SFB261; SL; South Atlantic in Late Quaternary: Reconstruction of Budget and Currents; Southern Cape Basin
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 2
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    The last occurrence of Proboscia curvirostris in the North Atlantic marine isotope stage 9-8 (2001)
    PANGAEA
    In:  Supplement to: Koç, Nalân; Labeyrie, Laurent D; Manthé, Sandrine; Flower, Benjamin P; Hodell, David A; Aksu, Ali E (2001): The last occurrence of Proboscia curvirostris in the North Atlantic marine isotope stages 9-8. Marine Micropaleontology, 41(1-2), 9-23, https://doi.org/10.1016/S0377-8398(00)00054-2
    Details
    Publication Date: 2024-06-26
    Description: Well-preserved diatoms are present in high sedimentation rate Pleistocene cores retrieved on Ocean Drilling Program (ODP) Legs 151, 152, 162 and IMAGES cruises of R/V Marion Dufresne from the North Atlantic. Investigation of the stratigraphic occurrence of diatom species shows that the youngest diatom event observed in the area is the last occurrence (LO) of Proboscia curvirostris (Jousé) Jordan and Priddle. P. curvirostris is a robust species that can easily be identified in the sediments, and therefore can be a practical biostratigraphic tool. We have mapped its areal distribution, and found that it stretches from 40°N to 80°N in the North Atlantic. Further, we have correlated the LO P. curvirostris to the oxygen isotope records of six cores to refine the age of this biostratigraphic event. The extinction of P. curvirostris is latitudinally diachronous through Marine Isotope Stages (MIS) 9 to 8 within the North Atlantic. This is closely related to the paleoceanography of the area. P. curvirostris first disappeared within interglacial MIS 9 (324 ka) from the northern areas that are most sensitive to climatic forcing, like the East Greenland current and the sea-ice margin. It survived in mid-North Atlantic until the conditions of the MIS 8 (glaciation) became too severe (260 ka). In the North Pacific at ODP Site 883 the LO P. curvirostris falls within MIS 8. The observed overlap in age between the North Atlantic and the North Pacific strongly suggests that the extinction of P. curvirostris is synchronous between these oceans.
    Keywords: 152-919A; 162-983A; CALYPSO; Calypso Corer; DRILL; Drilling/drill rig; Greenland Sea; Iceland; IMAGES I; Joides Resolution; Leg152; Leg162; Marion Dufresne (1995); MD101; MD952014; MD95-2014; MD952027; MD95-2027; Newfoundland Slope; Ocean Drilling Program; ODP; South Atlantic Ocean
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 3
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    Paleotemperature reconstruction for the past 0.55 Ma of the Subantarctic zone (2003)
    PANGAEA
    In:  Supplement to: Becquey, Sabine; Gersonde, Rainer (2003): A 0.55-Ma paleotemperature record from the Subantarctic zone: Implications for Antarctic Circumpolar Current development. Paleoceanography, 18(1), 1014, https://doi.org/10.1029/2000PA000576
    Details
    Publication Date: 2024-06-26
    Description: Estimates of summer sea surface temperatures (SSSTs) derived from planktic foraminiferal associations using the Modern Analog Technique and combined with isotopic analyses and determination of ice-rafted debris, mirror the Pleistocene evolution of the planktic Subantarctic surface waters in the Atlantic Ocean. The SSSTs indicate that the isotherms that define the modern polar front zone and Subantarctic front, were located at more northerly latitudes (up to 7°) during most of the investigated period, which covers the past 550 kyr. Exceptions are during climatic optima in the early Holocene, at marine isotope stages (MIS) 5.5, 7.1, 7.5, 9.3, and presumably during MIS 11.3 when SSSTs exceeded modern values by 1 –5°C. The close similarity between the SSST and the Vostok temperature indicates strong regional temperature correlation. Both records show that MIS 9.3 was the warmest period during the last 420 kyr whereas SSSTs obtained for MIS 11.3 are overestimated due to strong carbonate dissolution. Spectral analysis corroborates that the initiation of warming in southern high latitudes heralds the start of deglaciation on the Northern Hemisphere.
    Keywords: Agulhas Ridge; ANT-XI/2; AWI_Paleo; KL; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Piston corer (BGR type); Polarstern; PS2489-2; PS2489-2TC; PS28; PS28/256; TC; Trigger corer
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 4
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    Age determinations and sedimentology on cores GIK17940 and 184-1144 (2001)
    PANGAEA
    In:  Supplement to: Bühring, Christian (2001): East Asian Monsoon variability on orbital- and millennial-to-sub-decadal time scales. PhD Thesis, Mathematisch-Naturwissenschaftliche Fakultät der Christian-Albrechts-Universität zu Kiel, Germany, 164 pp, urn:nbn:de:gbv:8-diss-5231
    Details
    Publication Date: 2024-06-26
    Description: Sedimentological, geochemical and paleomagnetic records were employed to reconstruct the history of East Asian Monsoon variability in the South China Sea (SCS) on orbital- and millennial-to-sub-decadal time scales. A detailed magnetostratigraphy for the southern central SCS was established as well as a stable isotope stratigraphy for ODP Site 1144 for the last 1.2 million years in the northern South China Sea. Furthermore a volcanic tephra layer from the southern central SCS could be identified as the Youngest Toba Ash, which thus re-presents an important age marker and was used to reconstruct paleo wind directions during the eruption 74 ka. Special attention was paid to the high- and ultrahigh-frequency variability in the last glacial-interglacial cycle and the Holocene, and to a precise age control of climate changes in general.
    Keywords: 184-1144; 184-1144A; COMPCORE; Composite Core; DRILL; Drilling/drill rig; GIK/IfG; GIK17940-2; Gravity corer (Kiel type); Institute for Geosciences, Christian Albrechts University, Kiel; Joides Resolution; Leg184; MONITOR MONSUN; SL; SO95; Sonne; South China Sea
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 5
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    Physical properties of sediment cores from the Iberian Continental Slope (2000)
    PANGAEA
    In:  Supplement to: Heilemann, Kristina (2000): Hydrodynamische Änderungen des Mittelmeerausstromwassers und deren Abbildung in den Sedimenten des Iberischen Kontinentalhangs. PhD Thesis, Mathematisch-Naturwissenschaftliche Fakultät der Christian-Albrechts-Universität zu Kiel, Germany, 88 pp, urn:nbn:de:gbv:8-diss-4229
    Details
    Publication Date: 2024-06-26
    Description: Climatic changes cause alterations in circulation patterns of the world oceans. The highly saline Mediterranean Outflow Water (MOW), built within the Mediterranean Sea crosses the Strait of Gibraltar in westerly directions, turning north-westward to stick to the Iberian Slope within 600-1500m water depths. Circulation pattern and current speed of the MOW are strongly influenced by climatically induced variations and thus control sedimentation processes along the South- and West - Iberian Continental Slope. Sedimentation characteristics of the investigated area are therefore suitable to reconstruct temporal hydrodynamic changes of the MOW. Detailed investigations on the silt-sized grain distribution, physical properties and hydroacoustic data were performed to recalculate paleo-current-velocities and to understand the sedimentation history in the Golf of Cadiz and the Portuguese Continental Slope. A time model based on d18Odata and 14C-datings of planktic foraminifera allowed the stratigraphical classification of the core material and thus the dating of the current induced sediment layers showing the variations of paleo-current intensities. The evaluation and interpretation of the gathered data sets enabled us to reconstruct lateral and temporal sedimentation patterns of the MOW for the Holocene and the late Pleistocene, back to the Last Glacial Maximum (LGM).
    Keywords: GEOMAR; Giant box corer; GKG; Gravity corer (Kiel type); Gravity corer (Russian type); Helmholtz Centre for Ocean Research Kiel; M39/1; M39/1_02-5; M39/1_02-6; M39/1_03-3; M39/1_04-3; M39/1_08-3; M39/1_15-3; M39/1_16-3; M39/1_17-3; M39/1_18-2; M39/1_22-4; M39/1_29-4; M39/1_29-7; M39/1_29-8; M39/1_36-2; M39/1_36-4; M39/1_37-1; M39/1_58-2; M39/1_59-2; M39008-3; M39016-3; M39017-3; M39022-4; M39029-4; M39029-7; M39029-8; M39036-2; M39058-2; M39059-2; Meteor (1986); RGC; SL
    Type: Dataset
    Format: application/zip, 18 datasets
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  • 6
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    Radiolarian-based paleotemperatures of ODP Site 177-1089 in the Atlantic Sector of the Southern Ocean (2002)
    PANGAEA
    In:  Supplement to: Cortese, Giuseppe; Abelmann, Andrea (2002): Radiolarian-based paleotemperatures during the last 160 kyrs at ODP Site 1089 (Southern Ocean, Atlantic Sector). Palaeogeography, Palaeoclimatology, Palaeoecology, 182(3-4), 259-286, https://doi.org/10.1016/S0031-0182(01)00499-0
    Details
    Publication Date: 2024-06-26
    Description: Two cores, Site 1089 (ODP Leg 177) and PS2821-1, recovered from the same location (40°56'S; 9°54'E) at the Subtropical Front (STF) in the Atlantic Sector of the Southern Ocean, provide a high-resolution climatic record, with an average temporal resolution of less than 600 yr. A multi-proxy approach was used to produce an age model for Core PS2821-1, and to correlate the two cores. Both cores document the last climatic cycle, from Marine Isotopic Stage 6 (MIS 6, ca. 160 kyr BP, ka) to present. Summer sea-surface temperatures (SSSTs) have been estimated, with a standard error of ca. +/-1.16°C, for the down core record by using Q-mode factor analysis (Imbrie and Kipp method). The paleotemperatures show a 7°C warming at Termination II (last interglacial, transition from MIS 6 to MIS 5). This transition from glacial to interglacial paleotemperatures (with maximum temperatures ca. 3°C warmer than present at the core location) occurs earlier than the corresponding shift in delta18O values for benthic foraminifera from the same core; this suggests a lead of Southern Ocean paleotemperature changes compared to the global ice-volume changes, as indicated by the benthic isotopic record. The climatic evolution of the record continues with a progressive temperature deterioration towards MIS 2. High-frequency, millennial-scale climatic instability has been documented for MIS 3 and part of MIS 4, with sudden temperature variations of almost the same magnitude as those observed at the transitions between glacial and interglacial times. These changes occur during the same time interval as the Dansgaard-Oeschger cycles recognized in the delta18Oice record of the GRIP and GISP ice cores from Greenland, and seem to be connected to rapid changes in the STF position in relation to the core location. Sudden cooling episodes ('Younger Dryas (YD)-type' and 'Antarctic Cold Reversal (ACR)-type' of events) have been recognized for both Termination I (ACR-I and YD-I events) and II (ACR-II and YD-II events), and imply that our core is located in an optimal position in order to record events triggered by phenomena occurring in both hemispheres. Spectral analysis of our SSST record displays strong analogies, particularly for high, sub-orbital frequencies, to equivalent records from Vostok (Antarctica) and from the Subtropical North Atlantic ocean. This implies that the climatic variability of widely separated areas (the Antarctic continent, the Subtropical North Atlantic, and the Subantarctic South Atlantic) can be strongly coupled and co-varying at millennial time scales (a few to 10-ka periods), and eventually induced by the same triggering mechanisms. Climatic variability has also been documented for supposedly warm and stable interglacial intervals (MIS 1 and 5), with several cold events which can be correlated to other Southern Ocean and North Atlantic sediment records.
    Keywords: 177-1089; Agulhas Basin; Agulhas Ridge; ANT-IV/3; ANT-IV/4; ANT-IX/2; ANT-IX/4; ANT-VIII/3; ANT-VIII/6; ANT-X/5; ANT-XI/2; ANT-XI/4; Astrid Ridge; Atka Bay; Atlantic Ridge; AWI_Paleo; Brazil Basin; Cape Basin; COMPCORE; Composite Core; Filchner Shelf; Fram Strait; GeoB2004-1; GeoB2007-1; GeoB2008-1; GeoB2016-3; GeoB2018-1; GeoB2019-2; GeoB2021-4; GeoB2022-3; Giant box corer; GKG; Gravity corer (Kiel type); Indian-Antarctic Ridge; Joides Resolution; Lazarev Sea; Leg177; M23/1; Maud Rise; Meteor (1986); Meteor Rise; MIC; MiniCorer; MSN; MUC; MultiCorer; Multiple opening/closing net; Ocean Drilling Program; ODP; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; PLA; Plankton net; Polarstern; PS08; PS08/356; PS08/364; PS08/365; PS08/374; PS08/610; PS1380-1; PS1386-1; PS1387-1; PS1394-1; PS1455-4; PS16; PS16/267; PS16/271; PS16/281; PS16/294; PS16/306; PS16/311; PS16/316; PS16/321; PS16/323; PS16/329; PS16/334; PS16/337; PS16/342; PS16/345; PS16/351; PS16/354; PS16/362; PS16/366; PS16/372; PS16/507; PS16/518; PS16/534; PS16/540; PS16/547; PS16/557; PS1751-2; PS1752-5; PS1755-1; PS1759-1; PS1765-1; PS1768-1; PS1771-4; PS1772-2; PS1773-2; PS1774-1; PS1775-5; PS1776-6; PS1777-7; PS1778-1; PS1779-3; PS1780-1; PS1782-6; PS1783-2; PS1786-2; PS18; PS18/055; PS18/075; PS18/084; PS18/088; PS18/092; PS18/096; PS18/229; PS18/232; PS18/236; PS18/237; PS18/238; PS18/239; PS18/241; PS18/244; PS18/261; PS18/262; PS18/263; PS18/267; PS1805-5; PS18 06AQANTIX_2; PS1813-3; PS1821-5; PS1823-1; PS1825-5; PS1831-5; PS1957-1; PS1967-1; PS1973-1; PS1975-1; PS1977-1; PS1979-1; PS2073-1; PS2076-1; PS2080-1; PS2081-1; PS2082-3; PS2083-2; PS2084-2; PS2087-1; PS2103-2; PS2104-2; PS2105-2; PS2109-3; PS22/690; PS22 06AQANTX_5; PS2254-1; PS2256-4; PS2487-2; PS2488-1; PS2489-4; PS2491-4; PS2492-1; PS2493-3; PS2494-1; PS2495-1; PS2496-2; PS2498-2; PS2557-2; PS2560-3; PS2561-1; PS2562-1; PS2563-3; PS2564-2; PS28; PS28/236; PS28/243; PS28/256; PS28/264; PS28/277; PS28/280; PS28/289; PS28/293; PS28/298; PS28/304; PS30; PS30/004; PS30/023; PS30/030; PS30/038; PS30/043; PS30/048; Shona Ridge; SL; South African margin; South Atlantic; South Atlantic Ocean; South Sandwich Basin; South Sandwich Islands; South Sandwich Trough; Water sample; Weddell Sea; WS
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 7
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    Planktonic foraminifera abundance, stable isotope record and temperature reconstruction of sediment core MD95-2040 (2003)
    PANGAEA
    In:  Supplement to: de Abreu, Lucia; Shackleton, Nicholas J; Schönfeld, Joachim; Hall, Michael A; Chapman, Mark R (2003): Millenial-scale oceanic climate variability off the Western Iberian margin during the last two glacial periods. Marine Geology, 196(1-2), 1-20, https://doi.org/10.1016/S0025-3227(03)00046-X
    Details
    Publication Date: 2024-06-26
    Description: High-resolution palaeoclimate records recovered from the Iberian margin in core MD95-2040 exhibit large fluctuations in oceanographic conditions over the last 190 ka. Large-scale cooling of the surface ocean is indicated by the presence of the polar planktonic foraminifer Neogloboquadrina pachyderma (sinistral), and in some instances the occurrence of ice-rafted debris (IRD). Ice-rafting episodes were prevalent in both of the last two glacials with greater intensity in Stages 2 through 4, than in Stage 6. The six youngest Heinrich events are well defined during the last glacial but detrital carbonate is absent from Heinrich layers HL6, HL5 and HL3. Dansgaard-Oeschger stadial-equivalent sub-millennial IRD deposition events have been detected, in particular during Stage 3, allowing a good match with the cooling displayed in the Greenland ice core (GISP2). Sea-surface temperature off Portugal in Stage 6 was in general warmer than during the last glacial, pointing towards a weaker southward influence of polar water masses. Ice rafting occurred mainly in mid-MIS (Marine Isotope Stage) 6 (between 173 and 153 kyr) as a group of poorly differentiated, short-duration quasi-continuous events, mainly marked by the high abundance of sinistral N. pachyderma. Differences exist in IRD composition relative to the last glacial, with a reduced Canadian-derived detrital carbonate component, combined with an important contribution of volcanic particles. The lower magnitude and higher frequency of these events suggest that the higher temperatures would have induced iceberg waning closer to the source areas.
    Keywords: CALYPSO; Calypso Corer; IMAGES; IMAGES I; International Marine Global Change Study; Marion Dufresne (1995); MD101; MD952040; MD95-2040; Porto Seamount
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 8
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    Aragonite distribution and preservation of sediment cores from the Brazilian Continental Slope (2000)
    PANGAEA
    In:  Supplement to: Gerhardt, Sabine; Groth, H; Rühlemann, Carsten; Henrich, Rüdiger (2000): Aragonite preservation in late Quaternary sediment cores on the Brazilian Continental Slope: implications for intermediate water circulation. International Journal of Earth Sciences, 88(4), 607-618, https://doi.org/10.1007/s005310050291
    Details
    Publication Date: 2024-06-26
    Description: We present late Quaternary records of aragonite preservation determined for sediment cores recovered on the Brazilian Continental Slope (1790-2585 m water depth) where North Atlantic Deep Water (NADW) dominates at present. We have used various indirect dissolution proxies (carbonate content, aragonite/calcite contents, and sand percentages) as well as gastropodal abundances and fragmentation of Limacina inflata to determine the state of aragonite preservation. In addition, microscopic investigations of the dissolution susceptibility of three Limacina species yielded the Limacina Dissolution Index which correlates well with most of the other proxies. Excellent preservation of aragonite was found in the Holocene section, whereas aragonite dissolution gradually increases downcore. This general pattern is attributed to an overall increase in aragonite corrosiveness of pore waters. Overprinted on this early diagenetic trend are high-frequency fluctuations of aragonite preservation, which may be related to climatically induced variations of intermediate water masses.
    Keywords: Brazil Basin; GeoB2204-1; GeoB2204-2; GeoB2205-4; GeoB2207-2; Gravity corer (Kiel type); M23/3; Meteor (1986); MUC; MultiCorer; SFB261; SL; South Atlantic in Late Quaternary: Reconstruction of Budget and Currents
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 9
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    Calcareous dinoflagellate cysts in surface sediments from the Mediterranean Sea (2003)
    PANGAEA
    In:  Supplement to: Meier, K J Sebastian; Willems, Helmut (2003): Calcareous dinoflagellate cysts in surface sediments from the Mediterranean Sea: distribution patterns and influence of main environmental gradients. Marine Micropaleontology, 48(3), 321-354, https://doi.org/10.1016/S0377-8398(03)00028-8
    Details
    Publication Date: 2024-06-26
    Description: The distribution of calcareous dinoflagellate cysts in surface sediments from the Mediterranean Sea was quantitatively analysed. The samples contain 11 cyst species and the vegetative coccoid Thoracosphaera heimii. Cyst abundance increases towards the deeper parts of the basins and is generally higher in the eastern Mediterranean Sea. Three major distribution characteristics exist: (1) different assemblages in oceanic and neritic regions, (2) little agreement with the associations of areas studied so far like the Atlantic Ocean, and (3) a unique oceanic assemblage in the eastern Mediterranean Sea. A gradual change in cyst assemblages from the western to the eastern Mediterranean Sea was observed and statistically compared with the main environmental gradients in the upper water column. Temperature, nitrate concentration and possibly salinity appear to be the most important factors controlling cyst production. Three groups containing cysts with similar environmental preferences can be distinguished: (1) an eastern Mediterranean group related to relatively high temperature and salinity but low nitrate concentration, (2) a group of more or less consistently abundant cosmopolitan species tolerating or even preferring relatively low temperature and salinity but high nitrate concentration, and (3) a group containing species that are possibly adapted to neritic environments and have probably been transported from coastal areas into the studied regions. In contrast to other calcareous plankton, calcareous dinoflagellate cysts correlate strongly with the main environmental gradients in the Mediterranean Sea, bearing a high potential for palaeoenvironmental reconstructions.
    Keywords: 560; 561; 562; 563; 564; 565; 566; 569; 570; 572; 574; 575; 576; 577; 65; 66; 67; 68; 69; 70; 71; 72; 73; 74; 75; 76; 77; 78; 79; 83; 85; 86; 87; 88; 89; 90; Balearic Islands, western Mediterranean Sea; Barcelona Coast; Cyprus; Eastern Mediterranean Sea; Eratosthenes Seamount; GeoB5845-1; GeoB5847-1; GeoTü; Golf of Lion; Greece; Haifa; Ionian Sea; Izmit Bay; Lybia; M40/4; M40/4_MC523; M40/4_MC524; M40/4_MC525; M40/4_MC526; M40/4_MC527; M40/4_MC528; M40/4_MC529; M40/4_MC530; M40/4_MC531; M40/4_MC532; M40/4_MC533; M40/4_MC534; M40/4_MC535; M40/4_MC536; M40/4_MC537; M40/4_MC538; M40/4_MC540A; M40/4_MC540C; M40/4_MC540D; M40/4_MC540E; M40/4_MC540F; M40/4_MC540G; M40/4_MC90; M44/3; M51/3; M51/3_560-1; M51/3_561-4; M51/3_562-5; M51/3_563-5; M51/3_564-2; M51/3_565-1; M51/3_566-3; M51/3_569-3; M51/3_570-2; M51/3_572-2; M51/3_574-2; M51/3_575-6; M51/3_576-3; M51/3_577-1; Malta; Mediterranean Sea, east of Crete; Mediterranean Sea, Ionian Sea; Mediterranean Sea, north of Crete; Mediterranean Sea, southern Pelepones; Mediterranean Sea, southest of Crete; Mediterranean Sea, south of Crete; Mediterranean Sea, Urania Basin; Meteor (1986); MUC; MultiCorer; off NE Spain; Paleoceanography at Tübingen University; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes; Strait of Sicili; Taranto Mare Piccolo; Thermaikos Gulf; Turkey; Tyrrhenian Sea; Zyprus
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 10
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    Size distribution of Holocene planktic foraminifer assemblages (2004)
    PANGAEA
    In:  Supplement to: Schmidt, Daniela N; Renaud, Sabrina; Bollmann, Jörg; Schiebel, Ralf; Thierstein, Hans R (2004): Size distribution of Holocene planktic foraminifer assemblages: biogeography, ecology and adaptation. Marine Micropaleontology, 50(3-4), 319-338, https://doi.org/10.1016/S0377-8398(03)00098-7
    Details
    Publication Date: 2024-06-26
    Description: The size of any organism is influenced by the surrounding ecological conditions. In this study, we investigate the effects of such factors on the size spectra of planktic foraminiferal assemblages from Holocene surface sediments. We analyzed assemblages from 69 Holocene samples, which cover the major physical and chemical gradients of the oceans. On a global scale, the range of sizes in assemblages triples from the poles to the tropics. This general temperature-related size increase is interrupted by smaller sizes at temperatures characteristic of the polar and subtropical fronts, at 2°C and 17°C, respectively, as well as in upwelling areas. On a regional scale, surface water stratification, seasonality and primary productivity are highly correlated with the size patterns. Such environmentally controlled size changes are not only characteristic for entire assemblage, but also for the dominant single species.
    Keywords: 06MT41_3; 269; 661; Agulhas Basin; Agulhas Ridge; Amundsen Basin; Angola Basin; ANT-VIII/3; ANT-VIII/6; ANT-XI/2; ANT-XII/4; Arabian Sea; ARK-VI/2; ARK-VII/1; ARK-VIII/3; Atlantic Ridge; BC; Box corer; Brazil Basin; Cape Basin; CTD/Rosette; CTD-RO; ELT20; ELT20.018-PC; ELT21; ELT21.011-PC; ELT21.014-PC; ELT21.015-PC; ELT33; ELT33.022-PC; ELT48; ELT48.027-PC; ELT48.031-PC; ELT48.036-PC; Eltanin; Equatorial Atlantic; GeoB1048-3; GeoB1104-5; GeoB1204-1; GeoB1212-2; GeoB1709-2; GeoB1710-1; GeoB3915-1; GeoB5142-2; Giant box corer; GIK21736-1 PS15/017; GIK21893-1 PS17/068; GIK21901-2 PS17/076; GIK21912-4 PS17/087; GKG; Greenland Sea; Greenland Slope; INMD; INMD-051BX; INMD-065BX; INMD-104BX; INMD-109BX; INMD-110BX; INMD-115BX; INMD-127BX; KAL; Kasten corer; M12/1; M20/2; M33/1; M33/1_MC398; M34/4; M35/1; M35003-3; M35006-7; M36/4; M36/4_MC440; M41/3; M6/6; M9/4; Melville; Meteor (1986); Meteor Rise; MSN; MUC; MultiCorer; Multiple opening/closing net; Namibia continental slope; North Atlantic; Northeast Brasilian Margin; PC; Piston corer; Polarstern; PS15; PS16; PS16/278; PS16/345; PS16/520; PS16/554; PS17; PS1736-1; PS1754-2; PS1778-1; PS1815-2; PS1829-5; PS1893-1; PS19/194; PS19/198; PS1901-2; PS1912-4; PS19 ARCTIC91; PS2190-3; PS2192-1; PS2487-2; PS2489-4; PS2498-2; PS2676-1; PS2690-1; PS2695-1; PS2703-2; PS28; PS28/236; PS28/256; PS28/304; PS35/056; PS35/151; PS35/158; PS35/195; PS35 06AQANTXII_4; RC08; RC08-91; RC08-94; RC09; RC09-126; RC09-150; RC11; RC11-10; RC11-118; RC1112; RC11-120; RC11-145; RC11-147; RC12; RC12-339; RC13; RC13-38; RC17; RC17-125; RC17-69; Robert Conrad; South Atlantic; Southeast Pacific; Southern East Pacific Rise; V07; V07-67; V10; V10-89; V12; V12-66; V16; V16-209; V20; V20-175; V20-228; V22; V22-211; V22-26; V23; V23-101; V26; V26-46; V27; V27-215; V28; V28-195; Vema; Walvis Ridge; Weddell Sea
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 11
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    Sedimentology of 2 profiles from the Scotia Sea (2000)
    PANGAEA
    In:  Supplement to: Diekmann, Bernhard; Kuhn, Gerhard; Rachold, Volker; Abelmann, Andrea; Brathauer, Uta; Fütterer, Dieter K; Gersonde, Rainer; Grobe, Hannes (2000): Terrigenous sediment supply in the Scotia Sea (Southern Ocean): response to Late Quaternary ice dynamics in Patagonia and on the Antarctic Peninsula. Palaeogeography, Palaeoclimatology, Palaeoecology, 162(3-4), 357-387, https://doi.org/10.1016/S0031-0182(00)00138-3
    Details
    Publication Date: 2024-06-26
    Description: Geochemical and mineralogical compositions of modern and Late Quaternary marine sediments from the Scotia Sea trace sources and transport paths of terrigenous sediment. We discuss downcore variations of compositional data of two sediment cores from the northern and southern Scotia Sea that correlate with fluctuations in magnetic susceptibility. Sediments were derived from very different sources at both localities, as revealed by contrasting clay-mineral assemblages. However, a common feature is the input of more basic and undifferentiated crustal material with the potential of high magnetic susceptibility during glacial periods, indicated by variable quartz/feldspar ratios and major, trace and rare earth elements. Terrigenous sediments mainly originate from nearby terrestrial sources or are introduced through interbasinal sediment transfer from adjacent seas. The observed temporal compositional variations have to be attributed to changes in the relative detrital contributions from the diverse source areas. Ice-mass extensions in southern Patagonia, on the Antarctic Peninsula and adjacent islands likely control the supply of glaciogenic detritus to the open ocean during times of glacial expansion, diluting the sediment input of interbasinal origin. Current transport is mainly responsible for sediment dispersal to the pelagic Scotia Sea and may amplify the glaciological source signals during glacial climate periods, because of a stronger wind forcing of the Antarctic Circumpolar Current.
    Keywords: ANT-X/5; ANT-XI/2; AWI_Paleo; Gravity corer (Kiel type); KL; MIC; MiniCorer; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Piston corer (BGR type); Polarstern; PS22/817; PS22 06AQANTX_5; PS2319-1; PS2515-1; PS2515-3; PS28; PS28/378; Scotia Sea; Scotia Sea, southwest Atlantic; SL
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 12
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    Stable isotope ratios and foraminiferal abundance of sediment cores from the Western Iberian Margin (2003)
    PANGAEA
    In:  Supplement to: Schönfeld, Joachim; Zahn, Rainer; de Abreu, Lucia (2003): Surface to deep water response to rapid climate changes at the western Iberian Margin. Global and Planetary Change, 36(4), 237-264, https://doi.org/10.1016/S0921-8181(02)00197-2
    Details
    Publication Date: 2024-06-26
    Description: Rapid climate changes at the onset of the last deglaciation and during Heinrich Event H4 were studied in detail at IMAGES cores MD95-2039 and MD95-2040 from the Western Iberian margin. A major reorganisation of surface water hydrography, benthic foraminiferal community structure, and deepwater isotopic composition commenced already 540 years before the Last Isotopic Maximum (LIM) at 17.43 cal. ka and within 670 years affected all environments. Changes were initiated by meltwater spill in the Nordic Seas and northern North Atlantic that commenced 100 years before concomitant changes were felt off western Iberia. Benthic foraminiferal associations record the drawdown of deepwater oxygenation during meltwater and subsequent Heinrich Events H1 and H4 with a bloom of dysoxic species. At a water depth of 3380 m, benthic oxygen isotopes depict the influence of brines from sea ice formation during ice-rafting pulses and meltwater spill. The brines conceivably were a source of ventilation and provided oxygen to the deeper water masses. Some if not most of the lower deep water came from the South Atlantic. Benthic foraminiferal assemblages display a multi-centennial, approximately 300-year periodicity of oxygen supply at 2470-m water depth. This pattern suggests a probable influence of atmospheric oscillations on the thermohaline convection with frequencies similar to Holocene climate variations. For Heinrich Events H1 and H4, response times of surface water properties off western Iberia to meltwater injection to the Nordic Seas were extremely short, in the range of a few decades only. The ensuing reduction of deepwater ventilation commenced within 500-600 years after the first onset of meltwater spill. These fast temporal responses lend credence to numerical simulations that indicate ocean-climate responses on similar and even faster time scales.
    Keywords: CALYPSO; Calypso Corer; IMAGES; IMAGES I; International Marine Global Change Study; Marion Dufresne (1995); MD101; MD952039; MD95-2039; MD952040; MD95-2040; Porto Seamount; Western Iberian Margin
    Type: Dataset
    Format: application/zip, 19 datasets
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  • 13
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    Benthic foraminifera assemblages of the Gulf of Aden (2000)
    PANGAEA
    In:  Supplement to: Almogi-Labin, Ahuva; Schmiedl, Gerhard; Hemleben, Christoph; Siman-Tov, R; Segl, Monika; Meischner, Dieter (2000): The influence of the NE winter monsoon on productivity changes in the Gulf of Aden, NW Indian Ocean during the last 530 kyr as recorded by foraminifera. Marine Micropaleontology, 40(3), 295-319, https://doi.org/10.1016/S0377-8398(00)00043-8
    Details
    Publication Date: 2024-06-26
    Description: Benthic and selected planktic foraminifera and stable isotope records were determined in a piston core from the Gulf of Aden, NW Arabian Sea that spans the last 530 ka. The benthic foraminifera were grouped into four principal assemblages using Q-mode Principal Component Analyses. Comparison of each of these assemblages with the fauna of the nearby regions enabled us to identify their specific environmental requirements as a function of variability in food supply and strength of the oxygen minimum zone and by that to use them as indicators of surface water productivity. The benthic foraminiferal productivity indicators coupled with the record of Globigerina bulloides, a planktic foraminifer known to be sensitive to productivity changes in the region, all indicate higher productivity during glacial intervals and productivity similar to present or even reduced during interglacial stages. This trend is opposite to the productivity pattern related to the SW summer monsoon of the Arabian Sea and indicates the role of the NE winter monsoon on the productivity of the Gulf of Aden. A period of exceptionally enhanced productivity is recognized in the Gulf of Aden region between ~60 and 13 kyr indicating the intensification of the NE winter monsoon to its maximal activity. Contemporaneous indication of increased productivity in other parts of the Arabian Sea, unexplained so far by the SW summer monsoon variability, might be related to the intensification of the NE winter monsoon. Another prominent event of high productivity, second in its extent to the last glacial productivity event is recognized between 430 and 460 kyr. These two events seem to correspond to periods of similar orbital positioning of rather low precession (and eccentricity) amplitude for a relatively long period. Glacial boundary conditions seem to control to a large extent the NE winter monsoon variability as also indicated by the dominance of the 100 ka cycle in the investigated time series. Secondary in their importance are the 23 and 41 ka cycles which seem also to contribute to the NE monsoonal variability. Following the identification of productivity events related to the NE winter monsoon in the Gulf of Aden, it is possible now to extend this observation to other parts of the Arabian Sea and consider the contribution of this monsoonal system to the productivity fluctuations preserved in the sedimentary records.
    Keywords: GeoTü; KL; M5/2; M5/2_259KL; M5/2_KL15; Meteor (1986); Paleoceanography at Tübingen University; Piston corer (BGR type)
    Type: Dataset
    Format: application/zip, 8 datasets
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  • 14
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    Shell preservation of Limacina inflata in surface sediments of the Central and South Atlantic (2001)
    PANGAEA
    In:  Supplement to: Gerhardt, Sabine; Henrich, Rüdiger (2001): Shell preservation of Limacina inflata (Pteropoda) in surface sediments from the Central and South Atlantic Ocean: a new proxy to determine the aragonite saturation state of water masses. Deep Sea Research Part I: Oceanographic Research Papers, 48(9), 2051-2071, https://doi.org/10.1016/S0967-0637(01)00005-X
    Details
    Publication Date: 2024-06-26
    Description: Over 300 surface sediment samples from the Central and South Atlantic Ocean and the Caribbean Sea were investigated for the preservation state of the aragonitic test of Limacina inflata. Results are displayed in spatial distribution maps and are plotted against cross-sections of vertical water mass configurations, illustrating the relationship between preservation state, saturation state of the overlying waters, and overall water mass distribution. The microscopic investigation of L. inflata (adults) yielded the Limacina dissolution index (LDX), and revealed three regional dissolution patterns. In the western Atlantic Ocean, sedimentary preservation states correspond to saturation states in the overlying waters. Poor preservation is found within intermediate water masses of southern origin (i.e. Antarctic intermediate water (AAIW), upper circumpolar water (UCDW)), which are distinctly aragonite-corrosive, whereas good preservation is observed within the surface waters above and within the upper North Atlantic deep water (UNADW) beneath the AAIW. In the eastern Atlantic Ocean, in particular along the African continental margin, the LDX fails in most cases (i.e. less than 10 tests of L. inflata per sample were found). This is most probably due to extensive “metabolic” aragonite dissolution at the sediment-water interface combined with a reduced abundance of L. inflata in the surface waters. In the Caribbean Sea, a more complex preservation pattern is observed because of the interaction between different water masses, which invade the Caribbean basins through several channels, and varying input of bank-derived fine aragonite and magnesian calcite material. The solubility of aragonite increases with increasing pressure, but aragonite dissolution in the sediments does not simply increase with water depth. Worse preservation is found in intermediate water depths following an S-shaped curve. As a result, two aragonite lysoclines are observed, one above the other. In four depth transects, we show that the western Atlantic and Caribbean LDX records resemble surficial calcium carbonate data and delta13C and carbonate ion concentration profiles in the water column. Moreover, preservation of L. inflata within AAIW and UCDW improves significantly to the north, whereas carbonate corrosiveness diminishes due to increased mixing of AAIW and UNADW. The close relationship between LDX values and aragonite contents in the sediments shows much promise for the quantification of the aragonite loss under the influence of different water masses. LDX failure and uncertainties may be attributed to (1) aragonite dissolution due to bottom water corrosiveness, (2) aragonite dissolution due to additional CO2 release into the bottom water by the degradation of organic matter based on an enhanced supply of organic matter into the sediment, (3) variations in the distribution of L. inflata and hence a lack of supply into the sediment, (4) dilution of the sediments and hence a lack of tests of L. inflata, or (5) redeposition of sediment particles.
    Keywords: 06MT15_2; 06MT41_3; A240-ML; Amazon Fan; Angola Basin; Argentine Basin; Ascencion Island; AT_II-107_65; ATII_USA; Atlantic Ocean; Atlantis II (1963); BCR; Box corer (Reineck); Brazil Basin; Cape Basin; Ceara Rise; Continental slope off Brazil; Continental Slope off Rio Paraiba do Sul; East Brazil Basin; eastern Abrolhos Bank; Eastern Rio Grande Rise; Equatorial Atlantic; GeoB1000-1; GeoB1001-1; GeoB1004-2; GeoB1006-2; GeoB1008-6; GeoB1009-3; GeoB1010-3; GeoB1011-2; GeoB1012-1; GeoB1013-2; GeoB1014-2; GeoB1015-2; GeoB1015-3; GeoB1016-2; GeoB1017-3; GeoB1018-2; GeoB1019-2; GeoB1020-1; GeoB1021-3; GeoB1022-3; GeoB1023-2; GeoB1024-3; GeoB1025-2; GeoB1026-3; GeoB1027-2; GeoB1028-2; GeoB1029-1; GeoB1030-3; GeoB1033-3; GeoB1034-1; GeoB1035-2; GeoB1035-3; GeoB1036-3; GeoB1037-1; GeoB1039-1; GeoB1040-3; GeoB1041-1; GeoB1043-2; GeoB1044-3; GeoB1046-2; GeoB1047-3; GeoB1048-2; GeoB1101-4; GeoB1102-3; GeoB1103-3; GeoB1104-5; GeoB1106-5; GeoB1108-6; GeoB1109-4; GeoB1110-3; GeoB1111-5; GeoB1112-3; GeoB1113-7; GeoB1115-4; GeoB1116-1; GeoB1117-3; GeoB1118-2; GeoB1119-2; GeoB1120-3; GeoB1203-2; GeoB1206-1; GeoB1207-2; GeoB1208-1; GeoB1209-1; GeoB1210-3; GeoB1211-1; GeoB1213-2; GeoB1215-1; GeoB1216-2; GeoB1217-1; GeoB1218-1; GeoB1220-2; GeoB1306-1; GeoB1307-2; GeoB1308-1; GeoB1309-3; GeoB1310-1; GeoB1311-2; GeoB1312-1; GeoB1313-1; GeoB1314-2; GeoB1315-2; GeoB1401-1; GeoB1403-2; GeoB1404-8; GeoB1406-1; GeoB1414-2; GeoB1415-1; GeoB1417-2; GeoB1418-1; GeoB1419-1; GeoB1420-1; GeoB1421-1; GeoB1501-1; GeoB1506-1; GeoB1508-1; GeoB1511-6; GeoB1512-1; GeoB1513-2; GeoB1516-1; GeoB1522-1; GeoB1523-2; GeoB1612-9; GeoB1701-2; GeoB1702-7; GeoB1703-3; GeoB1704-1; GeoB1707-2; GeoB1713-6; GeoB1715-1; GeoB1717-2; GeoB1718-1; GeoB1724-4; GeoB1726-1; GeoB1726-2; GeoB1728-3; GeoB1729-1; GeoB1901-1; GeoB1903-3; GeoB1904-1; GeoB1906-1; GeoB1907-1; GeoB2002-2; GeoB2003-1; GeoB2004-1; GeoB2016-3; GeoB2018-1; GeoB2019-2; GeoB2021-4; GeoB2022-3; GeoB2102-1; GeoB2104-1; GeoB2108-1; GeoB2109-3; GeoB2111-2; GeoB2112-1; GeoB2116-2; GeoB2117-4; GeoB2118-1; GeoB2119-1; GeoB2119-2; GeoB2122-1; GeoB2123-1; GeoB2124-1; GeoB2125-2; GeoB2126-1; GeoB2127-1; GeoB2130-1; GeoB2201-1; GeoB2202-4; GeoB2202-5; GeoB2204-1; GeoB2205-4; GeoB2206-1; GeoB2207-2; GeoB2208-1; GeoB2212-1; GeoB2213-1; GeoB2215-8; GeoB2216-2; GeoB2801-1; GeoB2802-2; GeoB2803-1; GeoB2804-2; GeoB2805-1; GeoB2806-6; GeoB2807-1; GeoB2808-3; GeoB2812-3; GeoB2813-1; GeoB2814-3; GeoB2817-3; GeoB2818-1; GeoB2819-2; GeoB2820-1; GeoB2821-2; GeoB2822-3; GeoB2824-1; GeoB2825-3; GeoB2826-1; GeoB2827-2; GeoB2828-1; GeoB2829-3; GeoB2830-1; GeoB2903-1; GeoB2904-11; GeoB2905-1; GeoB2906-3; GeoB2907-1; GeoB2908-8; GeoB2909-1; GeoB2910-2; GeoB2911-2; GeoB3108-4; GeoB3116-1; GeoB3117-3; GeoB3118-1; GeoB3119-1; GeoB3131-2; GeoB3137-1; GeoB3138-2; GeoB3149-2; GeoB3150-1; GeoB3151-2; GeoB3167-1; GeoB3168-1; GeoB3174-1; GeoB3177-2; GeoB3201-2; GeoB3202-2; GeoB3203-3; GeoB3205-1; GeoB3206-2; GeoB3207-2; GeoB3208-2; GeoB3209-2; GeoB3211-1; GeoB3216-1; GeoB3216-2; GeoB3217-1; GeoB3218-1; GeoB3219-1; GeoB3220-2; GeoB3221-1; GeoB3227-1; GeoB3228-2; GeoB3229-1; GeoB3230-4; GeoB3231-2; GeoB3232-3; GeoB3233-1; GeoB3236-2; GeoB3237-1; GeoB3702-2; GeoB3703-4; GeoB3704-2; GeoB3705-2; GeoB3706-3; GeoB3707-3; GeoB3708-1; GeoB3709-1; GeoB3710-1; GeoB3711-1; GeoB3712-1; GeoB3713-1; GeoB3807-1; GeoB3826-2; GeoB3910-3; GeoB3911-1; GeoB3912-1; GeoB3912-2; GeoB4305-1; GeoB4313-1; GeoB4314-2; GeoB4315-1; GeoB4401-3; GeoB4407-2; GeoB4411-1; GeoB4414-2; GeoB4418-2; GeoB4420-1; GeoB4421-2; GeoB5002-1; GeoB5004-2; GeoB5006-1; GeoB5007-1; GeoB5008-3; GeoB5110-5; GeoB5112-5; GeoB5115-2; GeoB5116-1; GeoB5117-2; GeoB5120-1; GeoB5121-2; GeoB5130-1; GeoB5132-2; GeoB5133-3; GeoB5134-1; GeoB5135-1; GeoB5136-2; GeoB5137-1; GeoB5138-2; GeoB5139-1; GeoB5140-3; GeoB5142-2; Giant box corer; GIK17836-1; GIK17851-1; GIK17866-1; GIK17884-1; GKG; Gravity corer (Kiel type); Guayana continental slope; Guinea Basin; Hunter Channel; JOPSII-6; JOPSII-8; Kongo delta; Kongo sediment fan; M12/1; M15/2; M16/1; M16/2; M20/1; M20/2; M23/1; M23/2; M23/3; M29/2; M29/3; M34/2; M34/3; M34/4; M35/1; M35002-1; M35003-6; M35004-1; M35005-3; M35006-6; M35008-1; M35010-2; M35012-6; M35013-3; M35014-1; M35015-1; M35018-1; M35019-1; M35020-2; M35023-3; M35024-6; M35025-1; M35026-2; M35030-1; M35031-2; M35033-1; M35034-3; M35035-1; M35039-1; M35052-5; M35053-3; M35054-1; M38/1; M38/2; M41/2; M41/3; M6/6; M9/4; Meteor (1986); MIC; Midatlantic Ridge; Mid Atlantic Ridge; Mid-Atlantic Ridge; MiniCorer; MUC; MultiCorer; Multiple revolver box corer; Namibia Continental Margin; Namibia continental slope; NE-Brazilian continental margin; Niger Sediment Fan; Northeast Brasilian Margin; Northern Brasil-Basin; Northern Cape Basin; Northern Guinea Basin; Northern Rio Grande Rise; Northwestern Vema Channel; off Kunene; off Macaé; off Rio Doce; off Rio Paraiba do Sul; PC; Piston corer; RC11; RC1112; RC11-21; RC11-26; Rio Grande Rise; RKG; Robert Conrad; Romanche fracture zone; Santos Plateau; SFB261; Sierra Leone Rise; SL; SO84; Sonne; South African margin; South Atlantic in Late Quaternary: Reconstruction of Budget and Currents; south of Abrolhos Bank; South of Cape Verde Islands; ST. HELENA HOTSPOT; Uruguay continental margin; V15; V15-157; V20; V20-227; V20-228; V22; V22-38; V24; V24-237; V24-240; V25; V25-56; V26; V26-63; V26-82; van Veen Grab; Vema; VGRAB; Victor Hensen; Walvis Ridge; West Angola Basin; Western Equatorial Atlantic
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 15
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    Sea surface temperature reconstruction for sediment core M35003-4 in the western tropical North Atlantic (2000)
    PANGAEA
    In:  Supplement to: Hüls, Matthias; Zahn, Rainer (2000): Millennial-scale sea surface temperature variability in the western tropical North Atlantic from planktonic foraminiferal census counts. Paleoceanography, 15(6), 659-678, https://doi.org/10.1029/1999PA000462
    Details
    Publication Date: 2024-06-26
    Description: Planktonic foraminiferal census counts are used to construct high-resolution sea surface temperature (SST) and subsurface (thermocline) temperature records at a core site in the Tobago Basin, Lesser Antilles. The record is used to document climatic variability at this tropical site in comparison to middle- and high-latitude sites and to test current concepts of cross-equatorial heat transports as a major player in interhemispheric climate variability. Temperatures are estimated using transfer function and modern analog techniques. Glacial - maximum cooling of 2.5°-3°C is indicated; maximum cooling by 4°C is inferred for isotope stage 3. The SST record displays millennial-scale variability with temperature jumps of up to 3°C and closely tracks the structure of ice-core Dansgaard/Oeschger cycles. SST variations in part of the record run opposite to the SST evolution at high northern latitude sites, pointing to thermohaline circulation and marine heat transport as an important factor driving SST in the tropical and high-latitude Atlantic, both on orbital and suborbital timescales.
    Keywords: GEOMAR; Gravity corer (Kiel type); Helmholtz Centre for Ocean Research Kiel; M35/1; M35003-4; Meteor (1986); SL
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    Format: application/zip, 2 datasets
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  • 16
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    Radionuclides of sediment cores and a sediment trap in the Weddell Sea (2000)
    PANGAEA
    In:  Supplement to: Walter, Hans-Jürgen; Rutgers van der Loeff, Michiel M; Hoeltzen, H; Bathmann, Ulrich (2000): Reduced scavenging of 230Th in the Weddell Sea: implications for paleoceanographic reconstructions in the South Atlantic. Deep Sea Research Part I: Oceanographic Research Papers, 47(7), 1369-1387, https://doi.org/10.1016/S0967-0637(99)00094-1
    Details
    Publication Date: 2024-06-26
    Description: The scavenging of 230Th and 231Pa was investigated in the central Weddell Sea by combining results from a sediment trap and three sediment cores. Scavenging of both radionuclides is closely coupled with the annual cycle of particle fluxes. For 230Th the mean radionuclide flux measured in the trap is only 40% of its expected flux from production in the water column. This value is in excellent agreement with the long-term record in the sediment cores (33-43%). Similar results were obtained for 231Pa, although burial fluxes are generally higher. The data suggest that during the last 130 ka the Weddell Sea has been a net source for both radionuclides, with more than half of the 230Th and about half of the 231Pa being exported. As a consequence, 230Th normalized rain rates (assuming a constant flux equal to the production rate) overestimate the true rain rate in the Weddell Sea by 150%. The laterally transported 230Th and 231Pa activity exits the Weddell Sea to the north, where it is incorporated into the eastward flowing Antarctic Circumpolar Current (ACC). There it is scavenged in addition to local production. During its residence time in the S-Atlantic sector of the ACC about 3/4 of the dissolved 230Th imported from the Weddell Sea is transferred onto particles. Whether this particulate 230Th is entirely deposited in the S-Atlantic or is distributed over a larger area extending into the Indian and Pacific sectors of the ACC remains an open question. In the ACC, Th-normalization therefore leads to an underestimation of fluxes, but the effect is probably less than 50%. Interglacial-glacial shifts in the position of the productive belt are believed to cause temporal and regional variations in the depositon rate for 230Th.
    Keywords: ANT-V/4; ANT-VIII/2; AWI_MarGeoChem; AWI_Paleo; AWI208; Giant box corer; GKG; Gravity corer (Kiel type); Marine Geochemistry @ AWI; Mooring (long time); MOORY; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS10; PS10/818; PS10/820; PS10/824; PS1507-3; PS1508-1; PS1509-2; PS16 06AQANTVIII_2; SL; Weddell Sea
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 17
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    Global compilation of benthic data sets I (2004)
    PANGAEA
    In:  Supplement to: Seiter, Katherina; Hensen, Christian; Schröter, Jürgen; Zabel, Matthias (2004): Organic carbon content in surface sediments-defining regional provinces. Deep Sea Research Part I: Oceanographic Research Papers, 51(12), 2001-2026, https://doi.org/10.1016/j.dsr.2004.06.014
    Details
    Publication Date: 2024-06-26
    Description: Approaches to quantify the organic carbon accumulation on a global scale generally do not consider the small-scale variability of sedimentary and oceanographic boundary conditions along continental margins. In this study, we present a new approach to regionalize the total organic carbon (TOC) content in surface sediments (〈5 cm sediment depth). It is based on a compilation of more than 5500 single measurements from various sources. Global TOC distribution was determined by the application of a combined qualitative and quantitative-geostatistical method. Overall, 33 benthic TOC-based provinces were defined and used to process the global distribution pattern of the TOC content in surface sediments in a 1°x1° grid resolution. Regional dependencies of data points within each single province are expressed by modeled semi-variograms. Measured and estimated TOC values show good correlation, emphasizing the reasonable applicability of the method. The accumulation of organic carbon in marine surface sediments is a key parameter in the control of mineralization processes and the material exchange between the sediment and the ocean water. Our approach will help to improve global budgets of nutrient and carbon cycles.
    Keywords: 0010PG; 0029PG; 0036PG; 0038PG; 01_BC1; 01BOX; 01BOXC; 01BOXG; 02_BC5; 02BOX; 02BOXC; 02BOXG; 03_BC4; 03BOX; 03BOXG; 03MULC; 04_BC4; 04BOX; 04BOXG; 04MULC; 05_BC5; 05BOX; 05BOXG; 05MULC; 06_BC5; 06BOX; 06BOXG; 06MT28_2; 06MULC; 07_BC4; 07BOX; 07BOXG; 07MULC; 08_BC5; 08BOX; 08BOXG; 08MULC; 09_BC1; 09BOX; 09BOXG; 09MULC; 10_BC4; 10103-1B; 10103-8K; 108-663; 108-663A; 108-664; 108-664B; 10BOX; 11_BC8; 110#1, M31/3-110.1_MC2; 11B; 11BC39; 11BOX; 12B; 12BC47-2; 12BOX; 13B; 13BCP56; 13BOX; 14B; 14BOX; 159-959; 159-959C; 159-962; 159-962B; 15B; 167-1011; 167-1018; 167-1019; 167-1020; 167-1021; 16B; 179KG; 17B; 17 m-Lake; 185KG; 186KG; 188KG; 193KG; 194KG; 1BC1-2; 200227; 200228; 200229; 200230; 200231; 201MX; 202KG; 204KG; 209KG; 210MX; 212KG; 215KG; 216KG; 234KG; 236KG; 24#1; 243K; 252KG; 255KG; 26-258A; 264KG; 27#2; 280K; 290KG; 292KG; 2BC5-1; 30#3, SAST; 30#4; 3-14; 371; 373; 375; 376; 377; 379; 380; 381; 382; 383; 386; 388; 39#1; 4#2; 403; 406; 41; 414; 415; 416; 423; 424; 428; 429; 431; 432; 433; 434; 4399-1; 440; 4403-1; 4411-1; 4414-1; 4418-1; 442; 443; 444; 449; 451; 452; 453; 455; 460; 49-407; 4B; 4BC14-2; 4IMP11; 50#4; 53#1; 58#3, CAST; 581, NAST; 5B; 6#2; 603; 637; 641; 655; 655, EAST; 661, EAST; 669; 67#2; 6B; 6BC20-2; 70#1; 76#2; 76#3; 7B; 8-73; 88#1; 8B; 8BC27-3; 92#1; 92#3; 9B; 9BC26; A_EN179-BC1; A_EN179-BC2; A_EN179-BC3; A_EN179-BC4; A_EN179-BC5; A_EN179-BC7; A_EN187-BC1; A_EN187-BC10; A_EN187-BC11; A_EN187-BC3; A_EN187-BC4; A_EN187-BC5; A_EN187-BC6; A_EN187-BC8; A_EN187-BC9; A-10-VG; A-15-VG; A-16-BG; A-17-BG; A-19-VG; A-1-VG; A-20-BG; A-21; A-23-VG; A-24; A-25-BG; A-262; A-27-VG; A-28-BG; A-29-BG; A-30; A-31-VG; A-32; A-33-BG; A-34-BG; A-36-BG; A-37-BG; A-38; A-39; A-40-BG; A-41-BG; A-6-BG; A-7-BG; A84-01; A84-02; A84-03; A84-04; A84-05; A84-06; A84-07; A84-08; A84-09; A84-11; A84-12; A84-13; A84-14; A84-15; A84-17; A84-18; A84-19; A84-21; A84-22; A84-23; A84-24; A84-25; A84-26; A84-27; A84-28; A-8-BG; A-9; Achterwasser; ADEPDCruises; ADS; Agadir Canyon; Agulhas Basin; AK1-10; AK1-12; AK11-880; AK11-882; AK11-918; AK11-927; AK11-928; AK11-929; AK11-981; AK1-2; AK1-3; AK1-5; AK3-100; AK3-101,2; AK3-108; AK3-130; AK3-136; AK3-137; AK3-138; AK3-140; AK3-141; AK3-142; AK3-143; AK3-144; AK3-145; AK3-147; AK3-150,3; AK3-151; AK3-152; AK3-153; AK3-157; AK3-158; AK3-159; AK3-160; AK3-161; AK3-163; AK3-166; AK3-167; AK3-168; AK3-170,2; AK3-171; AK3-175; AK3-185; AK3-203; AK3-205; AK3-208; AK3-209; AK3-210; AK3-51; AK3-52; AK3-53,2; AK3-53,3; AK3-54; AK3-55; AK3-56; AK3-59,2; AK3-87,2; AK3-95; AK3-97; AK3-98; AK3-99; AK40-4306; AK40-4323; AK40-4324; AK40-4333; AK40-4334; AK43-4834; AK43-4877; AK43-4878; AK43-4879; AK43-4880; AK43-4881; AK43-4882; AK43-4889; AK43-4890; AK43-4891; AK43-4896; AK43-4898; AK43-4899; AK43-4900; AK43-4901; AK43-4902; AK43-4903; AK43-4904; AK43-4905; AK43-4907; AK43-4910; AK43-4912; AK43-4923; AK43-4925; AK43-4926; AK43-4928; AK43-4929; AK43-4931; AK43-4933; AK43-4934; AK43-4935; AK43-4936; AK43-4938; AK43-4940; AK43-4943; AK43-4945; AK43-4946; AK43-4949; AK43-4952; AK43-4955; AK43-4956; AK5-327,1; AK5-328,2; AK5-332,2; AK5-333,2; AK5-337,2; AK5-340,2; AK5-345; AK5-351; AK5-352,2; AK5-356; AK5-362; AK5-366,2; AK5-375; AK5-376,2; AK5-377,2; AK5-378; AK5-400,2; AK5-402; AK5-403; AK5-405; AK5-414; AK5-416,2; AK5-419; AK5-421,2; AK6-431-1; AK6-431-2; AK6-435; AK6-436; AK6-439; AK6-440; AK6-441-1; AK6-441-3; AK6-441-6a; AK6-441-7; AK6-441-9; AK6-443-9; Akademik Boris Petrov; Akademik Kurchatov; Akademik Nikolaj Strakhov; Akademik Sergey Vavilov; AKU1; AKU11; AKU3; AKU40; AKU43; AKU5; AKU6; AL63; Alexander von Humboldt; Alkor (1990); ALV76; Alv-ADS; Alv-DOS-1; Alv-DOS-2; Alv-DS-1; Alv-DWD; Alvin; Amazon Fan; Amazon Shelf/Fan; Amundsen Basin; Amundsen Sea; Andromeda; Angola Basin; Angola Benguela Front; Angola Diapir Field; ANIRO; ANIRO-611; ANIRO-613; ANIRO-636; ANIRO-641; ANIRO-645; ANIRO-654; ANIRO-657; ANS2; ANS2-1; ANS2-10; ANS2-11; ANS2-12; ANS2-13; ANS2-14; ANS2-15; ANS2-18; ANS2-19; ANS2-2; ANS2-22; ANS2-23; ANS2-24; ANS2-26; ANS2-27; ANS2-3; ANS2-4; ANS2-5; ANS2-6; ANS2-7; ANS2-8; ANS2-9; Antarctic Ocean; ANT-I/2; ANT-II/3; ANT-II/4; ANT-III/3; ANTIPROD; ANT-IV/1c; ANT-IV/3; ANT-IV/4; ANT-IX/3; ANT-IX/4; ANT-V/4; ANT-VI/3; ANT-VIII/3; ANT-VIII/5; ANT-VIII/6; ANT-X/2; ANT-X/4; ANT-XI/2; ANT-XI/3; ANT-XIV/3; AOS94_1; AOS94_12; AOS94_13; AOS94_16; AOS94_17; AOS94_19; AOS94_21; AOS94_23; AOS94_24; AOS94_25; AOS94_26; AOS94_28; AOS94_30; AOS94_31; AOS94_32; AOS94_33; AOS94_6; AOS94_7; AOS94_8; APSARA4; Arabian Sea; Arctic Ocean; Argentine Basin; Argentine Islands; Argentinian Basin; Argo; ARIES; ARIES-040PG; ARIES-045PG; ARIES-048G; ARK-I/3; ARK-II/5; ARK-III/3; ARK-IV/3; ARK-IX/3; ARK-IX/4; Arkona Basin; ARK-V/2; ARK-V/3b; ARK-VI/2; ARK-VII/1; ARK-VII/3b; ARK-VIII/2; ARK-VIII/3; ARK-XI/1; Arlis Plateau; ASV11; ASV11-1006; ASV11-1006.1; ASV11-1024; ASV11-1026; ASV11-1054; ASV11-829; ASV11-830; ASV11-831; ASV11-833; ASV11-835; ASV11-837; ASV11-838; ASV11-841; ASV11-842; ASV11-844; ASV11-847; ASV11-850; ASV11-853; ASV11-855; ASV11-858; ASV11-860; ASV11-861; ASV11-863; ASV11-865; ASV11-867; ASV11-869; ASV11-873; ASV11-875; ASV11-877; ASV11-879; ASV11-880; ASV11-882; ASV11-883; ASV11-891; ASV11-892; ASV11-894; ASV11-895; ASV11-896; ASV11-897; ASV11-898; ASV11-899; ASV11-900; ASV11-901; ASV11-902; ASV11-987; ASV11-988; ASV12; ASV12_1081-GC; ASV13; ASV13_1018-G; ASV13_1088-G; ASV13_1093-G; ASV13_1094-G; ASV13_1095-G; ASV13_1096-G; ASV13_1097-G; ASV13_1098-G; ASV13_1099-G; ASV13_1101-G; ASV13_1102-G; ASV13_1103-G; ASV13_1104-G; ASV13_1105-G; ASV13_1106-GC; ASV13_1112-G; ASV13_1115-G; ASV13_1117-G; ASV13_1119-G; ASV13_1120-G; ASV13_1121-G; ASV13_1122-G; ASV13_1123-G; ASV13_1124-G; ASV13_1125-G; ASV13_1126-G; ASV13_1127-G; ASV13_1128-G; ASV13_1129-G; ASV13_1132-G; ASV13_1133-G; ASV13_1134-G; ASV13_1135-G; ASV13_1136-G; ASV13_1137-G; ASV13_1139-G; ASV13_1140-G; ASV13_1141-G; ASV13_1142-G; ASV13_1143-G; ASV13_1144-G; ASV13_1145-G; ASV13_1146-G; ASV13_1147-G; ASV13_1148-G; ASV13_1149-G; ASV13_1150-G; ASV13_1151-G; ASV13_1152-G; ASV13_1153-G; ASV13_1154-G; ASV13_1155-G; ASV13_1156-G; ASV13_1158-G; ASV13_1159-G; ASV13_1162-G; ASV13_1163-G; ASV13_1164-G; ASV13_1165-G; ASV13_1201-G; ASV13_1202-G; ATESEPP; Atka Bay; Atlantic Caribbean Margin; Atlantic Ocean; Atlantic Ridge; Aurelia; Aurelia_08_1984; Aurelia_08_1984_01_BC; Aurelia_08_1984_02_BC; Aurelia_08_1984_03_BC; Aurelia_08_1984_04_BC; Aurelia_08_1984_05_BC; Aurelia_08_1984_06_BC; Aurelia_08_1984_07_BC; Aurelia_08_1984_08_BC; Aurelia_08_1984_09_BC; Aurelia_08_1984_11_BC; Aurelia_08_1984_12_BC; Aurelia_08_1984_13_BC; Aurelia_08_1984_14_BC; Aurelia_08_1984_15_BC; Aurelia_08_1984_17_BC; Aurelia_08_1984_18_BC; Aurelia_08_1984_19_BC; Aurelia_08_1984_21_BC; Aurelia_08_1984_22_BC; Aurelia_08_1984_23_BC; Aurelia_08_1984_24_BC; Aurelia_08_1984_25_BC; Aurelia_08_1984_26_BC; Aurelia_08_1984_27_BC; Aurelia_08_1984_28_BC; Auriga; AWI Antarctic Land Expedition; AWI Arctic Land Expedition; B-10-BG; B-11-BG; B-143; B-14-VG; B-16-BG; B-17-BG; B-187; B-18-BG; B-191; B-192; B-19-VG; B-20-VG; B-24-BG; B-26-VG; B-28-BG; B-2-BG; B-33-BG; B-34-BG; B-35-BG; B-37-BG; B-41-BG; B-43-BG; B-44-BG; B-45-BG; B-46-BG; B-4-BG; B-5; B-50-BG; B-51-BG; B-59-BG; B-6; B-61-BG; B-62-BG; B-67-BG; B-69-BG; B-6-VG; B-7; B-70-BG; B-71-BG; B-75-VG; B-76-VG; B-78-BG; B-79-BG; B-7-VG; B-89-BG; B-8-VG; B-9-BG; BA84; BA84-02PC; BA84-03TW; BA84-08GC; Baltic Sea; Bannock; Bannock basin; Barents abyssal plain; Barents Sea; Basalt Sø; Basin-I_BC31; BC; BCORE1; BCORE2; BCORE3; BCORE4; BCORE6; BCORE7; BCR; Bear Island Trough; Bel1; Bel1-611; Bel1-613; Bel1-621; Bel1-636; Bel1-641; Bel1-645; Bel1-654; Bel1-657; Bel2; Bel2-1; Bel2-10; Bel2-100; Bel2-103; Bel2-107; Bel2-11; Bel2-111; Bel2-115; Bel2-12; Bel2-13; Bel2-16; Bel2-18; Bel2-19; Bel2-2; Bel2-20; Bel2-21; Bel2-22; Bel2-24; Bel2-25; Bel2-27; Bel2-28; Bel2-31; Bel2-32; Bel2-33; Bel2-35; Bel2-36; Bel2-37; Bel2-38; Bel2-39; Bel2-4; Bel2-40; Bel2-41; Bel2-42; Bel2-43; Bel2-45; Bel2-47;
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 18
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    Radionuclides in sediment cores of the Atlantic sector of the Southern Ocean (2000)
    PANGAEA
    In:  Supplement to: Frank, Martin; Gersonde, Rainer; Rutgers van der Loeff, Michiel M; Bohrmann, Gerhard; Nürnberg, Christine Caroline; Kubik, Peter W; Suter, Martin; Mangini, Augusto (2000): Similar glacial and interglacial export bioproductivity in the Atlantic sector of the Southern Ocean: multiproxy evidence and implications for atmospheric CO2. Paleoceanography, 15(6), 642-658, https://doi.org/10.1029/2000PA000497
    Details
    Publication Date: 2024-06-26
    Description: We present time series of export productivity proxy data including 230Thex-normalized deposition rates (rain rates) of 10Be, dissolution-corrected biogenic Ba, and biogenic opal as well as authigenic U concentrations which are complemented by rain rates of total (detrital) Fe and sea ice indicating diatom abundances from five sediment cores across the Atlantic sector of the Southern Ocean covering the past 150,000 years. The results suggest that 10Be rain rates and authigenic U concentration cannot serve as quantitative paleoproductivity proxies because they have also been influenced by detrital particle fluxes in the case of 10Be and bulk sedimentation rates (sediment focussing) and deep water oxygenation in the case of U. The combined results of the remaining productivity proxies of this study (rain rates of biogenic opal and biogenic Ba in those sections without authigenic U) and other previously published proxy data from the Southern Ocean (231Pa/230Th and nitrogen isotopes) suggest that a combination of sea ice cover, shallow remineralization depth, and stratification of the glacial water column south of the present position of the Antarctic Polar Front and possibly Fe fertilization north of it have been the main controlling factors of export paleoproductivity in the Southern Ocean over the last 150,000 years. An overall glacial increase of export paleoproductivity is not supported by the data, implying that bioproductivity variations in the Southern Ocean are unlikely to have contributed to the major glacial atmospheric CO2 drawdown observed in ice cores.
    Keywords: ANT-VIII/3; AWI_MarGeoChem; AWI_Paleo; Giant box corer; GKG; Gravity corer (Kiel type); Marine Geochemistry @ AWI; Meteor Rise; MUC; MultiCorer; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS16; PS16/278; PS16/284; PS16/311; PS1754-1; PS1754-2; PS1756-5; PS1756-6; PS1768-1; PS1768-8; SFB261; Shona Ridge; Silicon Cycling in the World Ocean; SINOPS; SL; South Atlantic in Late Quaternary: Reconstruction of Budget and Currents
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 19
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    Ikaite of sediment cores from the Zaire deep-sea fan (2001)
    PANGAEA
    In:  Supplement to: Zabel, Matthias; Schulz, Horst D (2001): Importance of submarine landslides for non-steady state conditions in pore water systems - lower Zaire (Congo) deep-sea fan. Marine Geology, 176(1-4), 87-99, https://doi.org/10.1016/S0025-3227(01)00164-5
    Details
    Publication Date: 2024-06-26
    Description: Most concentration profiles of sulfate in continental margin sediments show constant or continuously increasing gradients from the benthic boundary layer down to the deep sulfate reduction zone. However, a very marked change in this gradient has been observed several meters below the surface at many locations, which has been attributed to anoxic sulfide oxidation or to non-local transport mechanisms of pore waters. The subject of this study is to investigate whether this feature could be better explained by non-steady state conditions in the pore-water system. To this end, data are presented from two gravity cores recovered from the Zaire deep-sea fan. The sediments at this location can be subdivided into two sections. The upper layer, about 10 m thick, consists of stratified pelagic deposits representing a period of continuous sedimentation over the last 190 kyr. It is underlain by a turbidite sequence measuring several meters in thickness, which contains large crystals of authigenic calcium carbonate (ikaite: CaCO3·6H2O). Ikaite delta13C values are indicative of a methane carbon contribution to the CO2 pool. Radiocarbon ages of these minerals, as well as of the adjacent bulk sediments, provide strong evidence that the pelagic sediments have overthrust the lower section as a coherent block. Therefore, the emplacement of a relatively undisturbed sediment package is postulated. Pore-water profiles show the depth of the sulfate–methane transition zone within the turbiditic sediments. By the adaptation of a simple transport-reaction model, it is shown that the change in the geochemical environmental conditions, resulting from this slide emplacement, and the development towards a new steady state are fully sufficient to explain all features related to the pore-water profiles, particularly, [SO4]2- and dissolved inorganic carbon (DIC). The model shows that the downslope transport took place about 300 yr ago.
    Keywords: Congo Fan; GeoB; GeoB1401-4; GeoB4914-3; Geosciences, University of Bremen; Gravity corer (Kiel type); M16/1; M41/1; Meteor (1986); SL; southern Congo fan
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 20
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    Geochemistry of sediments from the upwelling off Morocco (2002)
    PANGAEA
    In:  Supplement to: Freudenthal, Tim; Meggers, Helge; Henderiks, Jorijntje; Kuhlmann, Holger; Moreno, Ana; Wefer, Gerold (2002): Upwelling intensity and filament activity off Morocco during the last 250,000 years. Deep Sea Research Part II: Topical Studies in Oceanography, 49(17), 3655-3674, https://doi.org/10.1016/S0967-0645(02)00101-7
    Details
    Publication Date: 2024-06-26
    Description: The high-productive upwelling area off Morocco is part of one of the four major trade-wind driven continental margin upwelling zones in the world oceans. While coastal upwelling occurs mostly on the shelf, biogenic particles derived from upwelling are deposited mostly at the upper continental slope. Nutrient-rich coastal water is transported within the Cape Ghir filament region at 30°N up to several hundreds of kilometers offshore. Both upwelling intensity and filament activity are dependent on the strength of the summer Trades. This study is aimed to reconstruct changes in trade wind intensity over the last 250,000 years by the analysis of the productivity signal contained in the sedimentary biogenic particles of the continental slope and beneath the Cape Ghir filament. Detailed geochemical and geophysical analyses (TOC, carbonate, C/N, delta13Corg, delta15N, delta13C of benthic foraminifera, delta18O of benthic and planktic foraminifera, magnetic susceptibility) have been carried out at two sites on the upper continental slope and one site located further offshore influenced by the Cape Ghir filament. A second offshore site south of the filament was analyzed (TOC, magnetic susceptibility) to distinguish the productivity signal related to the filament signal from the general offshore variability. Higher productivity during glacial times was observed at all four sites. However, the variability of productivity during glacial times was remarkably different at the filament-influenced site compared to the upwelling-influenced continental slope sites. In addition to climate-related changes in upwelling intensity, zonal shifts of the upwelling area due to sea-level changes have impacted the sedimentary productivity record, especially at the continental slope sites. By comparison with other proxies related to the strength and direction of the prevailing winds (Si/Al ratio as grain-size indicator, pollen) the productivity record at the filament-influenced site reflects mainly changes in trade-wind intensity. Our reconstruction reveals that especially during glacial times trade-wind intensity was increased and showed a strong variability with frequencies related to precession.
    Keywords: Agadir Canyon; Canary Islands Azores Gibraltar Observations; CANIGO; GeoB; GeoB4216-1; GeoB4216-2; GeoB4223-1; GeoB4223-2; GeoB4228-3; GeoB4240-2; Geosciences, University of Bremen; Gravity corer (Kiel type); KOL; M37/1; Meteor (1986); MUC; MultiCorer; Piston corer (Kiel type); SL
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 21
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    Planktonic foraminiferal preservation in Plio/Pleistocene sediments from the western equatorial Atlantic and Caribbean (2003)
    PANGAEA
    In:  Supplement to: Gröger, Matthias; Henrich, Rüdiger; Bickert, Torsten (2003): Variability of silt grain size and planktonic foraminiferal preservation in Plio/Pleistocene sediments from the western equatorial Atlantic and Caribbean. Marine Geology, 201(4), 307-320, https://doi.org/10.1016/S0025-3227(03)00264-0
    Details
    Publication Date: 2024-06-26
    Description: Records of mean sortable silt and planktonic foraminiferal preservation from the Ceará Rise (western equatorial Atlantic) and from the Caribbean are presented to analyze the Pliocene (3.5-2.2 Ma) to Pleistocene (1.6-0.3 Ma) evolution of near-bottom current strength and the carbonate corrosiveness of deep water. During the mid-Pleistocene climate transition (~1 Ma) a drastic decrease in glacial bottom current strength and an increase in carbonate corrosiveness is registered, demonstrating a substantial decrease in the glacial contribution of the Lower North Atlantic Deep Water (LNADW) to the Atlantic Ocean. Also, an increased sensitivity to eccentricity orbital forcing is registered after the MPT. By contrast, carbonate preservation increases considerably in the deep Caribbean in response to a strong and persistent stable contribution of Upper North Atlantic Deep Water (UNADW). We found evidence for the strongest and most stable circulation within the LNADW cell during the Northern Hemisphere cooling period between ~3.2 and 2.75 Ma. This is in agreement with the 'superconveyor model' which postulates that the highest NADW production took place prior to ~2.7 Ma. A considerable decrease in bottom current strength and planktonic foraminiferal preservation is observed synchronous with the first occurrence of large-scale continental ice sheets in the Northern Hemisphere. This documents the final termination of the 'superconveyor' at ca. 2.75 Ma. However, our data do not support a 'superconveyor' in the interval between 3.5 and 3.2 Ma when high-amplitude fluctuations in bottom current flow and preservation in planktonic foraminifera are observed. Because of the great sensitivity of NADW production to changes in surface water salinity, we assume that the high-amplitude fluctuations of LNADW circulation prior to ~3.2 Ma are linked to changes in the Atlantic salinity budget. After 2.75 Ma they are primarily controlled by ice-sheet forcing. In contrast to the stepwise deterioration of planktonic foraminiferal preservation in the western deep Atlantic, a trend toward better preservation from the Pliocene to Pleistocene is observed in the deep Caribbean. This indicates a long-term increase in the contribution of UNADW to the Atlantic Ocean.
    Keywords: 154-927A; 165-999A; Caribbean Sea; DRILL; Drilling/drill rig; GeoB; Geosciences, University of Bremen; Joides Resolution; Leg154; Leg165; Ocean Drilling Program; ODP; South Atlantic Ocean
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 22
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    Chemical composition of tephra from the Greenland-Iceland-Norwegian-Sea (2003)
    PANGAEA
    In:  Supplement to: Wallrabe-Adams, Hans-Joachim; Lackschewitz, Klas Sven (2003): Chemical composition, distribution, and origin of silicic volcanic ash layers in the Greenland–Iceland–Norwegian Sea: explosive volcanism from 10 to 300 ka as recorded in deep-sea sediments. Marine Geology, 193(3-4), 273-293, https://doi.org/10.1016/S0025-3227(02)00661-8
    Details
    Publication Date: 2024-06-26
    Description: Explosive ocean island volcanism in the Greenland-Iceland-Norwegian Sea (GIN Sea) is indicated by marine tephra layers at 10-300 ka. Peaks of explosive volcanism occurred in oxygen isotope stages 8, 7, 5 and 1. The depositional age of the tephra was estimated using the oxygen isotope stratigraphy and dating of marine records. Geochemical analyses of the tephra layers show that all originate from Iceland. Here we report the characteristics of tephra from these major Icelandic events in 30 deep-sea cores from the GIN Sea. Our findings provide constraints on the distribution of tephra from the eruption source. For the Vedde Ash (oxygen isotope stage 1) we estimate a minimum fallout area of 2*10**5 km**2, stretching from central Greenland in the west and southern Sweden in the east, to 71°N in the GIN Sea. The magnitude of the eruption and the regional wind conditions controlled the extent and concentrations of these ash fallout events. Oceanic circulation and differential settling may have affected the distribution and final deposition of ash particles such as bubble wall shards.
    Keywords: 403; ARK-II/5; ARK-VII/1; Atlantic Ocean; Giant box corer; GIK21852-2 PS17/018; GIK21857-2 PS17/024; GIK23059-3; GIK23065-3; GIK23243-1 PS05/431; GIK23244-2 PS05/449; GIK23245-1 PS05/450; GIK23359-4; GKG; Gravity corer (Kiel type); Iceland Sea; KAL; Kasten corer; Kolbeinsey Ridge; M2/2; M7/5; Meteor (1986); Norwegian Sea; PO158/A; Polarstern; POS158/1; POS158/1_0001/1; Poseidon; PS05; PS1243-1; PS1244-2; PS1245-1; PS17; PS1852-2; PS1857-2; SL
    Type: Dataset
    Format: application/zip, 11 datasets
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  • 23
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    Geochemistry and sea-surface temperature reconstruction for sediment cores of the Iberian Margin (2002)
    PANGAEA
    In:  Supplement to: Pailler, Delphine; Bard, Edouard (2002): High frequency palaeoceanographic changes during the past 140000 yr recorded by the organic matter in sediments of the Iberian Margin. Palaeogeography, Palaeoclimatology, Palaeoecology, 181(4), 431-452, https://doi.org/10.1016/S0031-0182(01)00444-8
    Details
    Publication Date: 2024-06-26
    Description: Biogenic records of the marine palaeoproductivity (carbonates, organic carbon, and C37 alkenones) and the molecular stratigraphy of past sea surface temperatures (SSTs; UK'37) were studied at high resolution in two cores of the Iberian Margin. The comparison of these records indicates that the oceanographic conditions switched abruptly during the past 160 kyr between three kinds of regimes. A first regime with high (17-22°C) SST and low productivity typifies the interglacial periods, marine isotopic stages (MIS) 5 and 1. Several periods during MIS 6, 2, and the terminations II and I are characterised by about 4-5°C colder SST and a higher organic matter accumulation, both of which define the second regime. This anticorrelation between SST and marine productivity suggests that these variations are related to the intensity of the coastal upwelling. By contrast with this upwelling behaviour, extremely low biological productivity and very cold SST (6-12°C) occurred during short phases of glacial MIS 6, 4, and 2, and as abrupt events (~1 kyr or less) during MIS 3. The three oceanographic regimes are consistent with micropalaeontological changes in the same cores based on foraminifera and diatoms. The general trend of these hydrologic changes follows the long-term glacial/interglacial cycle, but the millennium scale variability is clearly related to Heinrich events and Dansgaard-Oeschger cycles. Strengthening of the upwelling corresponds probably to an intensification of the subtropical atmospheric circulation over the North Atlantic which was influenced by the presence of continental ice sheets. However, extreme glacial conditions due to massive discharges of icebergs interrupted the upwelling. Interestingly, both terminations II and I coincided with strong but transient intensification of the upwelling.
    Keywords: CALYPSO; Calypso Corer; IMAGES; IMAGES I; International Marine Global Change Study; Marge Ibérique; Marion Dufresne (1995); MD101; MD952040; MD95-2040; MD952042; MD95-2042; Porto Seamount
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 24
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    Age determination and sea-surface reconstruction of sediment cores from the Norwegian Sea (2002)
    PANGAEA
    In:  Supplement to: Dolven, J K; Cortese, Giuseppe; Bjorklund, Kjell R (2002): A high-resolution radiolarian-derived paleotemperature record for the Late Pleistocene-Holocene in the Norwegian Sea. Paleoceanography, 17(4), 1072, https://doi.org/10.1029/2002PA000780
    Details
    Publication Date: 2024-06-26
    Description: Polycystine radiolarians are used to reconstruct summer sea surface temperatures (SSSTs) for the Late Pleistocene-Holocene (600-13,400 14C years BP) in the Norwegian Sea. At 13,200 14C years BP, the SSST was close to the average Holocene SSST (~12°C). It then gradually dropped to 7.1°C in the Younger Dryas. Near the Younger Dryas-Holocene transition (~10,000 14C years BP), the SSST increased 5°C in about 530 years. Four abrupt cooling events, with temperature drops of up to 2.1°C, are recognized during the Holocene: at 9340, 7100 ("8200 calendar years event"), 6400 and 1650 14C years BP. Radiolarian SSSTs and the isotopic signal from the GISP2 ice core are strongly coupled, stressing the importance of the Norwegian Sea as a mediator of heat/precipitation exchange between the North Atlantic, the atmosphere, and the Greenland ice sheet. Radiolarian and diatom-derived SSSTs display similarities, with the former not showing the recently reported Holocene cooling trend.
    Keywords: 79-4; AWI_Paleo; CALYPSO; Calypso Corer; Håkon Mosby; HM79; HM79-4; IMAGES; IMAGES I; International Marine Global Change Study; Late Pleistocene-Holocene; Marion Dufresne (1995); MD101; MD952011; MD95-2011; Norwegian Sea; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; PC; Piston corer; Quaternary Environment of the Eurasian North; QUEEN; Radiolarians; Voring Plateau
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 25
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    Sea-surface temperature reconstruction of sediment cores from the Skagerrak (2003)
    PANGAEA
    In:  Supplement to: Emeis, Kay-Christian; Struck, Ulrich; Blanz, Thomas; Kohly, Alexander; Voss, Maren (2003): Salinity changes in the central Baltic Sea (NW Europe) over the last 10000 years. The Holocene, 13(3), 411-421, https://doi.org/10.1191/0959683603hl634rp
    Details
    Publication Date: 2024-06-26
    Description: We attempt a reconstruction of salinity levels of the central Baltic Sea based on diatom assemblages, the isotopic composition of organic matter and sedimentological expression of anoxia over the last 10 000 years. We use the data to investigate the dependence of salinity levels on climate evolution and isostasy. Changes in salinity of surface and deep waters were most pronounced from 8400 to approximately 5000 cal. BP. Density stratification between salty deep and fresher surface waters caused the frequent development of anoxic conditions and deposition of laminated sediments on large parts of the sea floor in the central Baltic Sea, and dramatic changes in organic carbon-accumulation rates. From 5000 to 3100 cal. BP, the salinity of the basin decreased, oxygenation of deep sea floors was improved, and fertility of the sea surface was significantly reduced. This is reflected by low accumulation rates of organic carbon in bioturbated sediments. Since 2800 cal. BP, salinity rose again and anoxic periods were more common. Even though the major steps in environmental evolution in the Baltic Sea coincide with known patterns of climatic change of the North Atlantic realm over the last 10 000 years, we find no conclusive evidence for synchronous changes or linear responses on submillennial timescales. However, we note that major variations in our salinity records agree with temporal patterns of reconstructed summer warmth and winter precipitation in southern Scandinavia. Both types of record suggest that climate in the mid-Holocene was far from stable. Our data also confirm that climate evolution over the late Holocene had significant impact on environmental conditions in the Baltic Sea.
    Keywords: 225514; 225517; Alexander von Humboldt; AvH94.44.13.2; Baltic Sea; GC; Gravity corer; IOW20007-1; IOW20048-1; IOW225514; IOW225517; KAL; Kasten corer; MUC; MultiCorer; POS204; Poseidon
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 26
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    Sea-surface temperature reconstruction of the South China Sea (2001)
    PANGAEA
    In:  Supplement to: Kienast, Markus; Steinke, Stephan; Stattegger, Karl; Calvert, Stephen E (2001): Synchronous tropical South China Sea SST change and Greenland warming during deglaciation. Science, 291(5511), 2132-2134, https://doi.org/10.1126/science.1057131
    Details
    Publication Date: 2024-06-26
    Description: The tropical ocean plays a major role in global climate. It is therefore crucial to establish the precise phase between tropical and high-latitude climate variability during past abrupt climate events in order to gain insight into the mechanisms of global climate change. Here we present alkenone sea surface temperature (SST) records from the tropical South China Sea that show an abrupt temperature increase of at least 1°C at the end of the last glacial period. Within the recognized dating uncertainties, this SST increase is synchronous with the Bølling warming observed at 14.6 thousand years ago in the Greenland Ice Sheet Project 2 ice core.
    Keywords: GIK18252-3; GIK18287-3; Gravity corer (Kiel type); SL; SO115; SO115_05; SO115_40; Sonne; SUNDAFLUT; Sunda Shelf; Vietnam shelf
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    Format: application/zip, 2 datasets
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  • 27
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    Planktonic foraminiferal and stable oxygen isotope record of Holocene sediments from the Norwegian Sea (2003)
    PANGAEA
    In:  Bjerknes Centre for Climate Research | Supplement to: Risebrobakken, Bjørg; Jansen, Eystein; Andersson, Carin; Mjelde, Eirik; Hevroy, Kjersti (2003): A high-resolution study of Holocene paleoclimatic and paleoceanographic changes in the Nordic Seas. Paleoceanography, 18(1), 1017, https://doi.org/10.1029/2002PA000764
    Details
    Publication Date: 2024-06-26
    Description: High-resolution records from IMAGES core MD95-2011 in the eastern Norwegian Sea provide evidence for relatively large- and small-scale high-latitude climate variability throughout the Holocene. During the early and mid-Holocene a situation possibly driven by consistent stronger westerlies increased the eastward influence of Arctic intermediate and near-surface waters. For the late Holocene a relaxation of the atmospheric forcing resulted in increased influence of Atlantic water. The main changes in Holocene climate show no obvious connection to changing solar irradiance, and spectral analysis reveals no consistent signature for any periodic behavior of Holocene climate at millennial or centennial timescales. There are, however, indications of consistent multidecadal variability.
    Keywords: CALYPSO; Calypso Corer; Giant box corer; GKG; IMAGES; IMAGES I; International Marine Global Change Study; JM97-948/2A; Marion Dufresne (1995); MD101; MD952011; MD95-2011; Voring Plateau
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 28
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    Particle fluxes and composition at two mooring sites in the Polar Front Region (2002)
    PANGAEA
    In:  Supplement to: Fischer, Gerhard; Gersonde, Rainer; Wefer, Gerold (2002): Organic carbon, biogenic silica and diatom fluxes in the marginal winter sea ice zone and in the Polar Front Region: interannual variation and changes in composition. Deep Sea Research Part II: Topical Studies in Oceanography, 49(9-10), 1721-1745, https://doi.org/10.1016/S0967-0645(02)00009-7
    Details
    Publication Date: 2024-06-26
    Description: Particle fluxes and composition were examined over 5 years at two mooring sites in the Polar Front Region (site PF: 50°09.S, 5°50.E) and in the marginal winter sea-ice zone (site BO: 54°30.S, 3°20.W) in the eastern Atlantic Sector of the Southern Ocean. Seasonality, interannual variability and the magnitude of total mass fluxes were higher at site BO compared to PF. Five-year averages and standard deviations (1Sigma) of total mass fluxes were 19.6±18.5 and 24.8±29.9 g m**-2 at PF and BO, respectively. Peak fluxes at site BO occurred in January 1995, but the highest peak was measured in February 1991 (almost 1300 mg m**-2 d**-1) followed by post-bloom sedimentation in March through May. This would imply a time shift of several months between the onset of sea-ice retreat in October and major sedimentation events recorded in January/February with the upper BO traps. At site PF, highest fluxes of about 500 mg m**-2 d**-1 were found between December and March. Blooms at site BO, influenced by sea ice as indicated by diatom species composition, seem to occur more sporadically (e.g., in 1991 and 1995). Annual diatom fluxes were 11.8x10**6 and 20x10**6 valves m**-2 during the deployments PF3 (1990) and BO1 (1991), respectively. At PF3, Fragilariopsis kerguelensis (37%) and Thalassionema nitzschioides fo1 (26.5%) dominated diatom flux, while F. kerguelensis (29%) and sea-ice-related algae (40%) were the main contributors to total diatom flux at site BO. During deployment BO1, the bloom collected in February was characterized by a very high molar Si:C of 8.8 that decreased almost continuously during the post-bloom phase, reaching a value of 1 in May. This change, however, was not documented in diatom species composition. We obtained a significant linear increase of biogenic opal with organic carbon fluxes at site PF and a highly significant but exponential relationship at site BO. Higher annual total mass fluxes were recorded at site BO, primarily due to elevated opal and lithogenic fluxes, corresponding to a higher silicate availability in the southern Antarctic Circumpolar Current. In contrast, higher mean organic carbon fluxes were obtained at site PF in accordance with elevated primary production and biomass. We obtained a three-fold higher molar Si:C ratio (5-year mean) for sinking particles collected with the upper BO traps (Si:C=4.0) compared to the PF (Si:C=1.3), consistent with the general pattern of Si and Fe availability. In particular at site BO, the Si:C ratios were usually high, even when accounting for organic carbon decay and biogenic silica (BSi) dissolution in the upper water column. At this study site, the Si:C ratios increased with lithogenic fluxes.
    Keywords: ANT-V/4; ANT-XII/2; ANT-XII/4; BO1; BO1_trap; BO3; BO3_trap; BO5; Bouvet Island; Center for Marine Environmental Sciences; MARUM; MOOR; Mooring; Mooring (long time); MOORY; PF1; PF3; PF5_trap; PF7; PF8; Polar Front; Polarstern; PS10; PS33; PS35 06AQANTXII_4; South Atlantic Ocean; Trap; TRAP
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    Format: application/zip, 2 datasets
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  • 29
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    Late Glacial/early Holocene benthic foraminifera assemblages, stable isotopes, IRD, magnetic susceptibility, Mn/Fe ratio and vivianite count from Storfjordrenna, western Barents Sea (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: Lateglacial/early Holocene interval from the sediment core JM09-020GC recovered in Storfjordrenna (western Barents Sea) has been studied for benthic foraminifera assemblages, stable isotopes, IRD, vivianite microconcretions, magnetic susceptibility, and elemental composition in order to identify the causes and mechanisms of abrupt climate change during the Younger Dryas. The core was retrieved with R/V Jan Mayen (University of Tromsø – The Arctic University of Norway, UiT) in November 2009 from the Storfjordrenna (76°31489' N, 19°69957' E) at a bottom depth of 253 m. Prior to sediment core opening, the magnetic susceptibility was measured using a loop sensor installed on a GEOTEK Multi Sensor Core Logger at the Department of Geology, UiT. Core sections were stored in the laboratory for one day prior to measurements, thus allowing the sediments to adjust to room temperature and avoiding measurement errors related to temperature changes (Weber et al., 1997). Qualitative element-geochemical measurements were performed with Avaatech X-ray fluorescence (XRF) core scanner using the following settings: 10 kV, 1000 µA, 10-s measuring time, and no filter. Sediment samples for foraminiferal and vivianite analyses were freeze-dried, weighed, and wet sieved using sieves with mesh sizes of 500 µm and 100 µm. The residues were dried, weighed again, and subsequently split on a dry micro-splitter. Where possible, at least 300 specimens of foraminifera were counted in every 1 cm of sediment. Species identification under a binocular microscope (Nikon SMZ1500) was supported using the classification of Loeblich and Tappan (1987), with few exceptions, and percentages of the eight indicator species were applied. The benthic foraminiferal abundance and ice-rafted debris (IRD; grains 〉500 µm) were counted under a stereo-microscope and expressed as flux values (number of specimens/grains cm-2 ka-1) using the bulk sediment density and sediment accumulation rate.
    Keywords: Arctic; Barents Sea; Benthic foraminifera; GC; Gravity corer; Holocene; Jan Mayen; JM09-020GC; JM09702; Stable isotopes; Storfjorden Trough; Svalbard; vivianite; XRF; Younger Dryas
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    Format: application/zip, 7 datasets
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  • 30
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    Paleomagnetic results of sixteen Black Sea cores beween 68.9 and 14.5 ka (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: Paleomagnetic results derived from sixteen Black Sea sediment cores. The natural remanent magnetization (NRM) and the anhysteretic remanent magnetization (ARM) were measured with a 2G Enterprises 755 SRM (cryogenic) long-core magnetometer equipped with a sample holder for eight discrete samples at a separation of 20 cm. The magnetometer's in-line tri-axial alternating field (AF) demagnetizer was used to demagnetize the NRM and ARM of the samples. The NRM was measured after application of AF peak amplitudes of 0, 5, 10, 15, 20, 30, 40, 50, 65, 80, and 100 mT. Directions of the characteristic remanent magnetization (ChRM) were determined by principle component analysis (PCA) according to Kirschvink (1980). The error range of the ChRM is given as the maximum angular deviation (MAD). The ARM was imparted along the samples' z-axis with a static field of 0.05 mT and an AF field of 100 mT. Demagnetization then was performed in steps of 0, 10, 20, 30, 40, 50, 65, and 80 mT. The median destructive field of the ARM (MDFARM) was determined to estimate the coercivity of the sediments. The slope of NRM versus ARM of common demagnetization steps was used to determine the relative paleointensity (rPI). In most cases, demagnetization steps from 20 to 65 mT were used to determine the rPI. Note, in all studied Black Sea sediment cores, samples with SIRM/κ~LF~ ratios 〉10 kAm^-1^ (SIRM: saturated iso-thermal remanent magnetization, κ~LF~: low-field magnetic susceptibility), empirically found to indicate the presence of diagenetically formed greigite, were omitted for paleomagnetic studies. I chrm: characteristic inclination D chrm: characteristic declination Slope-rPI: relative paleointensity determined by slope NRM/ARM during alternating field demagnetization; NRM: natural remanent magnetization, ARM: anhysteretic remanent magnetization
    Keywords: Baltic Sea Research Institute, Warnemünde; Black Sea; GeoForschungszentrum Potsdam; GFZ; IOW; Laschamps; Mono Lake; Norwegian-Greenland Sea; Paleosecular variation
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    Format: application/zip, 16 datasets
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  • 31
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    Time series of atmospheric methane and carbon dioxide concentrations measured during POSEIDON cruise POS533 (2020)
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Details
    Publication Date: 2024-06-26
    Description: The atmospheric CO₂ and CH4 concentrations were monitored throughout the cruise using a cavity ring down spectrometer (CRDS, Picarro G2301-f) and GEOMARs 'Atmospheric Intake System' (AIS).
    Keywords: AIMAC; CT; POS533/1; POS533-track; Poseidon; Underway cruise track measurements
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    Format: application/zip, 23 datasets
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  • 32
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    Stable oxygen isotope and Mg/Ca records from main pathway of Indonesian Throughflow (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: The Indonesian Throughflow (ITF), as the sole low-latitude conduit connecting the Pacific and Indian Oceans, regulates the thermohaline balance between these oceans. Investigating the spatio-temporal variability of the ITF and its relationship to precessional forcing is, thus, crucial for understanding the drivers of tropical climate change. Here, we reconstruct the history of the ITF over the past ~120 kyr, based on high resolution (~400 yr) δ18O and Mg/Ca records of Globigerinoides ruber and Pulleniatina obliquiloculata from Core SO217-18540 retrieved from the Flores Sea upwelling region within the main pathway of the ITF. Comparison of these new records with published paleo-oceanographic and climatological data from the western tropical Pacific suggests that annual mean conditions in the Flores Sea were controlled by the ITF rather than by monsoonal upwelling. Our results further indicate that precessional insolation was a major forcing for the hydrological evolution of the ITF during the past 120 kyr. We suggest that precessional insolation forcing paced ITF variability by modulating the mean state of El Niño-Southern Oscillation-like conditions and latitudinal shifts or expansion/contraction of the Intertropical Convergence Zone.
    Keywords: Cibicidoides wuellerstorfi; Flores Sea; GIK18540-3; Globigerinoides ruber; KL; MAJA; Mg/Ca ratio; Piston corer (BGR type); Pulleniatina obliquiloculata; SO217; SO217_26-3; Sonne; stable oxygen isotope
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    Format: application/zip, 2 datasets
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  • 33
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    Paleomagnetic record (inclination, declination, relative paleo-intensity) in marine sediment core MD01-2414 from the central Okhotsk Sea (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: Okhotsk Sea connects the high latitude Asian continent and North Pacific which plays an important role in modern and long-term glacial–interglacial climate changes linked to subarctic terrestrial and marine systems. On the basis of the marine sediment core MD01-2414 (53°11.77′N, 149°34.80′E, water depth: 1,123 m) taken in the central Okhotsk Sea, we here improve the pre-existing magnetostratigraphy by proposing a new age model, and reconstruct both the terrigenous transport and paleoceanographic variations during the past 1550 thousand years ago (ka). Seventeen geomagnetic excursions are identified from the paleomagnetic directional record. Close to the bottom of the core, an excursion was observed, which is proposed to be the Gilsa event at ~1550 ka. During glacial periods, our records reveal a wide extension of sea ice coverage and low marine productivity. We observed ice-rafted debris from mountain icebergs composed of coarse and high magnetic terrigenous detritus which were transported from the Kamchatka Peninsula to the central Okhotsk basin. Still during glacial periods, the initiation (i.e., at ~900 ka) of the Mid-Pleistocene Transition marks the change to even lower marine productivity, suggesting that sea-ice coverage became larger after this event. During interglacial periods, the sea-ice was either inexistent or at best seasonal in the central Okhotsk Sea; resulting in high marine productivity. The weaker formation of Okhotsk Sea Intermediate Water, lower ventilation, and microbial degradation of organic matter depleted the oxygen concentration in the bottom water and created a reduced environment condition in the sea basin. The freshwater supplied by snow or glacier melting from Siberia and Kamchatka delivered fine grain sediments to Okhotsk Sea. During the super-interglacial periods after the Mid-Brunhes Transition (i.e., Marine Isotope Stages 1, 5e, 9, and 11), strong freshwater discharged from Amur River drainage area associated with active East Asian Summer Monsoon, this phenomenon enhanced the input of fine-grained terrigenous detritus to the central Okhotsk Sea.
    Keywords: environmental magnetism; marine sediments; Mid-Brunhes Transition; mid-Pleistocene transition; Okhotsk Sea; paleomagnetism; Sea ice; Super-interglacial; terrigenous detritus
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    Format: application/zip, 3 datasets
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  • 34
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    EM-Bird ice thickness measurements in the Transpolar Drift during MOSAiC 2019/2020, part 1 (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: Total (snow+ice) thickness measurements obtained during the international Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign using the helicopters on board the research vessels Polarstern and Akademik Fedorov. The data was gathered during 14 flights between October 2019 and July 2020 in the Transpolar Drift on spatial scales up to 80 km distance from the position of the ships. Version 1.0. For details for the processing, please see Henricks & Rohde (2020), Haas et al. (2009) and von Albedyll et al. (2021).
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_5; Akademik Fedorov; Arctic Ocean; EM; HELI; Helicopter; IceSense; Mosaic; MOSAiC; MOSAiC20192020; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122_4_44_127_2020062101; PS122_4_44_128_2020062102; PS122_4_44_130_2020062201; PS122_4_44_95_2020061901; PS122_4_45_38_2020063003; PS122_4_45_54_2020070101; PS122_4_46_40_2020070704; PS122/1_3-5; PS122/3; PS122/3_34-93; PS122/3_34-94; PS122/3_35-91; PS122/3_36-156; PS122/3_37-137; PS122/3_38-112; PS122/4; PS122/4_44-127; PS122/4_44-128; PS122/4_44-130; PS122/4_44-95; PS122/4_45-38; PS122/4_45-54; PS122/4_46-40; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice thickness
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    Format: application/zip, 14 datasets
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  • 35
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    Solar radiation over and under sea ice and drift of sea ice from autonomous measurements from radiation station 2018R4, deployed during Oden_AO18 (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-26
    Description: Solar radiation over and under sea ice was measured by radiation station 2014R4, an autonomous platform, installed on drifting Multi-Year-Ice (MYI) in the Arctic Ocean during Oden_AO18. The resulting time series describes radiation measurements as a function of place and time between 20 August 2018 and 20 December 2018 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of thermistor chain with 208 sensors and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. An underwater lightchain measured counts of red, green and blue light at 49 positions at hourly intervals. All times are given in UTC.
    Keywords: 2018R4; Arctic Ocean; Arctic Ocean 2018, MOCCHA; autonomous platform; AWI_SeaIce; buoy; Conductivity; Current sea ice maps for Arctic and Antarctic; drift; drift ice; Ice mass balance; light chain; meereisportal.de; MIDO; Multidisciplinary Ice-based Distributed Observatory; Oden; Oden_AO2018; Oden_AO2018_2018R4; RAD_S; Radiation Station; Sea Ice Physics @ AWI; solar radiation
    Type: Dataset
    Format: application/zip, 69 datasets
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  • 36
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    Drift trajectories of the main sites of the Distributed Network of MOSAiC 2019/2020 (2021)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-26
    Description: During the “Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC)” in 2019/2020 a Distributed Network (DN) of autonomous stations (buoys) was installed on the sea ice and drifted across the Arctic Ocean. This network consisted of 〉200 individual devices ranging from simple position buoys to complex and interdisciplinary multi-sensor platforms. Most (complex) measurements were performed on sea ice floes (sites or nodes) by co-located instruments. These sites were called medium (M) and large (L) sites. In addition, autonomous instruments were operated in the Central Observatory (CO), which consisted of the research ice breaker Polarstern and the adjacent ice camp. Initially, 4 L and 9 M sites were installed around the CO in a distance of up to 40 km. However, their distances and relative positions changed over time due to the drift of the ice pack over time. Over the course of the MOSAiC expedition, 3 different COs were established because of re-locations of RV Polarstern: CO1 started with the first drift of Polarstern on 04 October 2019; CO2 started with the second drift on 19 June 2020; and CO3 started with the third drift on 21 August 2020.
    Keywords: 2019O4; 2019O6; 2019T66; 2019V4; 2020M26; 2020O10; 2020P225; AF-MOSAiC-1; AF-MOSAiC-1_105; AF-MOSAiC-1_109; AF-MOSAiC-1_112; AF-MOSAiC-1_117; AF-MOSAiC-1_120; AF-MOSAiC-1_124; AF-MOSAiC-1_127; AF-MOSAiC-1_128; AF-MOSAiC-1_77; AF-MOSAiC-1_86; AF-MOSAiC-1_95; Akademik Fedorov; Akademik Tryoshnikov; Arctic Ocean; AT-MOSAiC-1; AT-MOSAiC-1_1; AT-MOSAiC-1_3; AT-MOSAiC-1_4; BUOY_CTD_CHAIN; BUOY_SNOW; Buoy, Drift Towing Ocean Profiler; Buoy; CTD chain; CT; distributed network; drift track; DTOP; Ice Mass Balance buoy, flexibel; Ice-Tethered Profiler; IMBflex; ISVP; ITP; ITP94, 2019W2, PS122/1_1-168; Mosaic; MOSAiC; MOSAiC20192020; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Ocean CTD buoy; OCTDB; Polarstern; PS122/1; PS122/1_1-124; PS122/1_1-139, 2019S94; PS122/1_1-145, 2019S81; PS122/1_1-151, 2019O4; PS122/1_1-153, 2019O6; PS122/1_1-154, 2019O7; PS122/1_1-172, 2019T69; PS122/1_1-275, 2019V1; PS122/1_1-276, 2019V2; PS122/1_1-278, 2019V4; PS122/1_1-314, 2019T67; PS122/1-track; PS122/2; PS122/2-track; PS122/3; PS122/3_28-114; PS122/3-track; PS122/4; PS122/4_43-68; PS122/4-track; PS122/5; PS122/5_58-94; PS122/5-track; SAMS Ice Mass Balance buoy; SIMBA; Snow buoy; Surface velocity profiler; Underway cruise track measurements
    Type: Dataset
    Format: application/zip, 15 datasets
    Location Call Number Expected Availability
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  • 37
    facet.materialart.
    Unknown
    Drift Towing Ocean Profiler (DTOP) data on sea ice, meteorological conditions and drift of sea ice from buoy 2019V3, deployed during MOSAiC 2019/20 (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: Vertical profiles of water temperature, pressure and salinity were measured by the Drift Towing Ocean Profiler (DTOP) buoy 2019V3, a.k.a. 2019C, an autonomous platform, installed on drifting sea ice in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes the vertical profile of the ocean below the sea ice as a function of place and time between 07 October 2019 and 03 August 2020 in sample intervals of 12 hours. In addition, the DTOP measured air temperature, relative humidity and barometric pressure and GPS position at hourly intervals. This instrument was deployed as part of the projects National Key R&D Program of China and The Marine S&T Fund of Shandong Province for Qingdao National Laboratory for Marine Science and Technology.
    Keywords: 2019V3; AF-MOSAiC-1; AF-MOSAiC-1_113; Akademik Fedorov; Arctic Ocean; autonomous platform; buoy; Buoy, Drift Towing Ocean Profiler; Current sea ice maps for Arctic and Antarctic; drift; DTOP; meereisportal.de; MOSAiC; MOSAiC20192020; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; ocean profile; Polarstern; PS122/1_1-277, 2019V3; PS122/4; PS122/4_43-160; Salinity; Temperature
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
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  • 38
    facet.materialart.
    Unknown
    Raw data of CTD buoys 2019O1 to 2019O8 as part of the MOSAiC Distributed Network (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: A set of eight ice-tethered buoy systems (2019O1 to 2019O8) were deployed by the Akademik Fedorov in the Northern Laptev Sea in early October 2019 as part of the MOSAiC Distributed Network. Each buoy consisted of 5 Seabird SBE37IMP Microcat CTDs mounted along an inductive modem tether at depths of 10, 20, 50, 75 and 100m. The buoys were installed on stable sea ice floes (designated as “M-sites”) at a distance of 15-35 km around the main MOSAiC ice camp, and co-located with Snow Buoys, Ice Mass Balance Buoys and D-TOP ocean profilers. The individual instruments were programmed to record oceanographic data internally at 2-minute intervals. The surface unit of the buoy prompted the instruments for an additional measurement every 10 minutes, which was then transmitted to a base station via iridium along with GPS position and time, as well as surface temperature. After a several months long drift through the Central Arctic Ocean, 4 out of 8 buoys were recovered in August 2020, and the internally recorded data from the CTDs were secured. The attached zip archive comprises the unprocessed 10-minute data transmitted by the buoy (.txt file), as well as the 2-minute data downloaded and converted from the 5 individual CTDs after their recovery (either .cap or .cnv). A processed and quality controlled version of this dataset will be supplemented and linked to upon completion. A link to a data paper describing the processing will be given below.
    Keywords: 2019O1; 2019O3; 2019O4; 2019O6; AF-MOSAiC-1; AF-MOSAiC-1_106; AF-MOSAiC-1_110; AF-MOSAiC-1_114; AF-MOSAiC-1_117; AF-MOSAiC-1_121; AF-MOSAiC-1_124; AF-MOSAiC-1_127; AF-MOSAiC-1_131; Akademik Fedorov; Akademik Tryoshnikov; Arctic Ocean; AT-MOSAiC-1; AT-MOSAiC-1_1; AT-MOSAiC-1_4; buoy; eddy; FRAM; FRontiers in Arctic marine Monitoring; mesoscale; MIDO; MOSAiC; MOSAIC_PO; MOSAiC20192020; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Multidisciplinary Ice-based Distributed Observatory; North Greenland Sea; Ocean CTD buoy; oceanography; OCTDB; Polarstern; PS122/1_1-148, 2019O1; PS122/1_1-149, 2019O2; PS122/1_1-150, 2019O3; PS122/1_1-151, 2019O4; PS122/1_1-152, 2019O5; PS122/1_1-153, 2019O6; PS122/1_1-154, 2019O7; PS122/1_1-155, 2019O8; PS122/4; PS122/4_43-149; PS122/4_43-165; Transpolar Drift
    Type: Dataset
    Format: application/zip, 8 datasets
    Location Call Number Expected Availability
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  • 39
    facet.materialart.
    Unknown
    Snowpit raw data collected during the MOSAiC expedition (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: This dataset captures the yearlong evolution of physical properties of the snow cover over Arctic sea ice during the MOSAiC expedition (October 2019-September 2020). It also includes the surface scattering layer that is typical of the melting summer sea ice surface. This dataset is specifically for measurements that were logged as “snowpit events” during MOSAiC. The snowpit events were either detailed point-measurements of vertical snow profiles or horizontally repeated transects, measured at selected locations in designated undisturbed areas. One snowpit event corresponds to one site visit. The snowpits are often co-located with measurements from other MOSAiC teams to improve our understanding of how snow cover affects and interacts with the atmosphere-sea ice-ocean-ecology system. Most snowpits were measured at least bi-weekly to capture the temporal evolution of physical properties of snow. Some snowpits were one-off events to capture interesting and unplanned-for surface conditions. This dataset includes 576 snowpit events, and describes the snow conditions during the entire expedition. Please direct inquiries to; David Wagner (PS122/1), Martin Schneebeli (PS122/2), Amy Macfarlane (PS122/3 and PS122/4), Ruzica Dadic (PS122/5).
    Keywords: Arctic Ocean; Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic; ARICE; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_10-11; PS122/1_10-18; PS122/1_10-5; PS122/1_10-50; PS122/1_10-58; PS122/1_10-70; PS122/1_10-71; PS122/1_10-72; PS122/1_11-23; PS122/1_4-10; PS122/1_5-28; PS122/1_5-35; PS122/1_5-5; PS122/1_6-146; PS122/1_6-147; PS122/1_6-29; PS122/1_6-30; PS122/1_6-41; PS122/1_6-42; PS122/1_6-43; PS122/1_6-44; PS122/1_6-45; PS122/1_6-46; PS122/1_6-47; PS122/1_6-5; PS122/1_6-6; PS122/1_6-65; PS122/1_6-66; PS122/1_6-67; PS122/1_6-68; PS122/1_6-69; PS122/1_6-70; PS122/1_6-75; PS122/1_7-12; PS122/1_7-129; PS122/1_7-32; PS122/1_7-33; PS122/1_7-34; PS122/1_7-35; PS122/1_7-36; PS122/1_7-37; PS122/1_7-38; PS122/1_7-5; PS122/1_7-68; PS122/1_7-69; PS122/1_7-70; PS122/1_7-71; PS122/1_7-72; PS122/1_7-73; PS122/1_7-8; PS122/1_7-87; PS122/1_7-88; PS122/1_8-1; PS122/1_8-27; PS122/1_8-28; PS122/1_8-29; PS122/1_8-30; PS122/1_8-31; PS122/1_8-32; PS122/1_8-68; PS122/1_8-69; PS122/1_8-70; PS122/1_8-78; PS122/1_8-79; PS122/1_9-111; PS122/1_9-117; PS122/1_9-23; PS122/1_9-25; PS122/1_9-3; PS122/1_9-71; PS122/1_9-72; PS122/1_9-73; PS122/1_9-74; PS122/2; PS122/2_16-24; PS122/2_16-44; PS122/2_16-45; PS122/2_16-46; PS122/2_16-62; PS122/2_16-73; PS122/2_16-9; PS122/2_16-90; PS122/2_17-109; PS122/2_17-16; PS122/2_17-43; PS122/2_17-44; PS122/2_17-45; PS122/2_17-46; PS122/2_17-47; PS122/2_17-49; PS122/2_17-89; PS122/2_17-90; PS122/2_17-91; PS122/2_18-107; PS122/2_18-108; PS122/2_18-17; PS122/2_18-47; PS122/2_18-52; PS122/2_18-53; PS122/2_18-54; PS122/2_18-55; PS122/2_18-56; PS122/2_18-66; PS122/2_18-76; PS122/2_18-8; PS122/2_18-9; PS122/2_19-128; PS122/2_19-129; PS122/2_19-131; PS122/2_19-132; PS122/2_19-133; PS122/2_19-134; PS122/2_19-135; PS122/2_19-137; PS122/2_19-141; PS122/2_19-142; PS122/2_19-144; PS122/2_19-145; PS122/2_19-146; PS122/2_19-160; PS122/2_19-161; PS122/2_19-181; PS122/2_19-28; PS122/2_19-35; PS122/2_19-41; PS122/2_19-75; PS122/2_19-9; PS122/2_19-92; PS122/2_20-107; PS122/2_20-108; PS122/2_20-123; PS122/2_20-136; PS122/2_20-137; PS122/2_20-138; PS122/2_20-139; PS122/2_20-140; PS122/2_20-141; PS122/2_20-142; PS122/2_20-143; PS122/2_20-144; PS122/2_20-145; PS122/2_20-164; PS122/2_20-35; PS122/2_20-36; PS122/2_20-4; PS122/2_20-70; PS122/2_20-80; PS122/2_20-83; PS122/2_21-14; PS122/2_21-15; PS122/2_21-158; PS122/2_21-159; PS122/2_21-16; PS122/2_21-170; PS122/2_21-52; PS122/2_21-53; PS122/2_21-72; PS122/2_21-84; PS122/2_21-96; PS122/2_22-43; PS122/2_22-46; PS122/2_22-5; PS122/2_22-6; PS122/2_22-61; PS122/2_22-66; PS122/2_22-67; PS122/2_22-68; PS122/2_22-69; PS122/2_22-73; PS122/2_22-74; PS122/2_23-105; PS122/2_23-2; PS122/2_23-34; PS122/2_23-53; PS122/2_23-73; PS122/2_23-74; PS122/2_23-75; PS122/2_23-76; PS122/2_23-77; PS122/2_23-78; PS122/2_23-79; PS122/2_23-85; PS122/2_23-9; PS122/2_24-112; PS122/2_24-113; PS122/2_24-14; PS122/2_24-15; PS122/2_24-16; PS122/2_24-35; PS122/2_24-56; PS122/2_24-81; PS122/2_24-86; PS122/2_25-105; PS122/2_25-128; PS122/2_25-22; PS122/2_25-23; PS122/2_25-59; PS122/2_25-60; PS122/2_25-61; PS122/2_25-62; PS122/2_25-63; PS122/2_25-80; PS122/2_25-81; PS122/3; PS122/3_29-28; PS122/3_29-29; PS122/3_29-38; PS122/3_29-43; PS122/3_29-50; PS122/3_29-9; PS122/3_30-17; PS122/3_30-25; PS122/3_30-42; PS122/3_30-61; PS122/3_31-55; PS122/3_31-79; PS122/3_32-22; PS122/3_32-41; PS122/3_32-59; PS122/3_32-61; PS122/3_32-88; PS122/3_32-92; PS122/3_32-93; PS122/3_33-102; PS122/3_33-103; PS122/3_33-112; PS122/3_33-113; PS122/3_33-40; PS122/3_33-41; PS122/3_33-42; PS122/3_33-65; PS122/3_33-66; PS122/3_34-2; PS122/3_34-34; PS122/3_34-45; PS122/3_34-46; PS122/3_34-60; PS122/3_34-91; PS122/3_35-111; PS122/3_35-120; PS122/3_35-121; PS122/3_35-23; PS122/3_35-24; PS122/3_35-53; PS122/3_35-56; PS122/3_36-102; PS122/3_36-103; PS122/3_36-104; PS122/3_36-105; PS122/3_36-106; PS122/3_36-107; PS122/3_36-137; PS122/3_36-138; PS122/3_36-14; PS122/3_36-15; PS122/3_36-35; PS122/3_36-99; PS122/3_37-129; PS122/3_37-130; PS122/3_37-131; PS122/3_37-132; PS122/3_37-133; PS122/3_37-156; PS122/3_37-21; PS122/3_37-22; PS122/3_37-39; PS122/3_37-40; PS122/3_37-41; PS122/3_37-56; PS122/3_37-57; PS122/3_37-58; PS122/3_37-68; PS122/3_38-1; PS122/3_38-141; PS122/3_38-142; PS122/3_38-152; PS122/3_38-4; PS122/3_38-51; PS122/3_38-52; PS122/3_38-93; PS122/3_38-94; PS122/3_38-95; PS122/3_38-96; PS122/3_38-97; PS122/3_38-98; PS122/3_39-45; PS122/3_39-46; PS122/3_39-47; PS122/3_39-48; PS122/3_39-87; PS122/3_39-88; PS122/3_39-89; PS122/3_39-90; PS122/3_39-91; PS122/3_39-92; PS122/3_40-14; PS122/3_40-15; PS122/4; PS122/4_44-121; PS122/4_44-122; PS122/4_44-155; PS122/4_44-156; PS122/4_44-157; PS122/4_44-193; PS122/4_44-215; PS122/4_44-216; PS122/4_44-218; PS122/4_44-220; PS122/4_44-249; PS122/4_44-44; PS122/4_44-45; PS122/4_44-46; PS122/4_44-47; PS122/4_45-107; PS122/4_45-108; PS122/4_45-132; PS122/4_45-16; PS122/4_45-17; PS122/4_45-176; PS122/4_45-177; PS122/4_45-179; PS122/4_45-18; PS122/4_45-180; PS122/4_45-181; PS122/4_45-182; PS122/4_45-46; PS122/4_45-62; PS122/4_45-63; PS122/4_45-8; PS122/4_45-86; PS122/4_45-87; PS122/4_45-89; PS122/4_46-104; PS122/4_46-105; PS122/4_46-106; PS122/4_46-107; PS122/4_46-108; PS122/4_46-109; PS122/4_46-110; PS122/4_46-111; PS122/4_46-112; PS122/4_46-135; PS122/4_46-138; PS122/4_46-139; PS122/4_46-140; PS122/4_46-146; PS122/4_46-181; PS122/4_46-187; PS122/4_46-188; PS122/4_46-190; PS122/4_46-191; PS122/4_46-192; PS122/4_46-288; PS122/4_46-29; PS122/4_46-30; PS122/4_46-31; PS122/4_46-32; PS122/4_46-48; PS122/4_46-50; PS122/4_47-156; PS122/4_47-175; PS122/4_47-176; PS122/4_47-177; PS122/4_47-178; PS122/4_47-179; PS122/4_47-22; PS122/4_47-23; PS122/4_47-61; PS122/4_47-66; PS122/4_47-76; PS122/4_47-77; PS122/4_47-97; PS122/4_48-100; PS122/4_48-142; PS122/4_48-143; PS122/4_48-144; PS122/4_48-145; PS122/4_48-146; PS122/4_48-147; PS122/4_48-148; PS122/4_48-177; PS122/4_48-186; PS122/4_48-187; PS122/4_48-188; PS122/4_48-189; PS122/4_48-190; PS122/4_48-191; PS122/4_48-196; PS122/4_48-40; PS122/4_48-41; PS122/4_48-42; PS122/4_48-43; PS122/4_48-44; PS122/4_48-45; PS122/4_48-47; PS122/4_48-58; PS122/4_48-83; PS122/4_48-85; PS122/4_48-86; PS122/4_49-15; PS122/4_49-19; PS122/4_49-20; PS122/4_49-46; PS122/4_49-47; PS122/4_49-48; PS122/4_49-7; PS122/4_49-8; PS122/4_99-56; PS122/4_99-57; PS122/4_99-58; PS122/4_99-59; PS122/4_99-60; PS122/4_99-61; PS122/4_99-62; PS122/4_99-63; PS122/4_99-65; PS122/4_99-66; PS122/4_99-67; PS122/4_99-68; PS122/4_99-69; PS122/4_99-70; PS122/4_99-71; PS122/4_99-72; PS122/4_99-73; PS122/5; PS122/5_59-193; PS122/5_59-204; PS122/5_59-206; PS122/5_59-222; PS122/5_59-235; PS122/5_59-250; PS122/5_59-267; PS122/5_59-268; PS122/5_59-292; PS122/5_59-302; PS122/5_59-303; PS122/5_59-304; PS122/5_59-313; PS122/5_59-314; PS122/5_59-315; PS122/5_59-350; PS122/5_59-351; PS122/5_59-352; PS122/5_59-353; PS122/5_59-354; PS122/5_59-368; PS122/5_60-10; PS122/5_60-117; PS122/5_60-118; PS122/5_60-119; PS122/5_60-120; PS122/5_60-128; PS122/5_60-142; PS122/5_60-143; PS122/5_60-144; PS122/5_60-145; PS122/5_60-168; PS122/5_60-170; PS122/5_60-2; PS122/5_60-24; PS122/5_60-25; PS122/5_60-26; PS122/5_60-43; PS122/5_60-74; PS122/5_60-75; PS122/5_60-76; PS122/5_60-77; PS122/5_60-78; PS122/5_60-91; PS122/5_61-10; PS122/5_61-102; PS122/5_61-103; PS122/5_61-104; PS122/5_61-105; PS122/5_61-132; PS122/5_61-138; PS122/5_61-139; PS122/5_61-140; PS122/5_61-162; PS122/5_61-166; PS122/5_61-167; PS122/5_61-168; PS122/5_61-170; PS122/5_61-198; PS122/5_61-2; PS122/5_61-230; PS122/5_61-231; PS122/5_61-232; PS122/5_61-233; PS122/5_61-234; PS122/5_61-235; PS122/5_61-236; PS122/5_61-237; PS122/5_61-25; PS122/5_61-27; PS122/5_61-28; PS122/5_61-29; PS122/5_61-4; PS122/5_61-5; PS122/5_61-8; PS122/5_61-9; PS122/5_61-97; PS122/5_62-10; PS122/5_62-100; PS122/5_62-101; PS122/5_62-102; PS122/5_62-119; PS122/5_62-123; PS122/5_62-124; PS122/5_62-125; PS122/5_62-126; PS122/
    Type: Dataset
    Format: application/zip, 15 datasets
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  • 40
    facet.materialart.
    Unknown
    Physical oceanography (p-CTD) during the cruise SO269 in South China Sea in August/September 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: This dataset provides 37 CTD profiles measured on board of the German R/V Sonne (cruise SO269) in the northern South China Sea, under the project SOCLIS – South China Sea Natural Laboratory under Climatic and Anthropogenic Stress, in August and September 2019. The 37 profiles of temperature, salinity, dissolved oxygen, fluorescence, turbidity, surface irradiance (SPAR) and Photosynthetically active radiation (PAR), and sound velocity were measured using a CTD Sea-Bird SBE 911 plus, together with oxygen sensor (SBE 43), PAR sensor (Biospherical, QCP-2350 + QSR-2200), and a fluorometer (WET Labs ECO-FLNTU(RT)D). Additionally, dissolved oxygen, potential temperature and sigma-theta (with reference to the surface) were calculated. The 37 additional CTD files complement the physical oceanography dataset (Waniek et al., 2021).
    Keywords: physical oceanography; SOCLIS; South China Sea; South China Sea Natural Laboratory under Climatic and Anthropogenic Stress
    Type: Dataset
    Format: application/zip, 37 datasets
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  • 41
    facet.materialart.
    Unknown
    Temperature and heating induced temperature difference measurements from the modular buoy 2020M26, deployed during MOSAiC 2019/20 (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. 2020M26 (a.k.a. Bruncin IMB042) is an autonomous modular instrument that was installed on drifting sea ice in the Arctic Ocean during the 4th leg of MOSAiC in June 2020. The thermistor chain was 5 m long and included 256 sensors. The resulting time series describes the evolution of temperature and temperature differences after three heating cycles of 4, 20 and 24 s as a function of place, depth and time between 26 June 2020 and 19 August 2020 in sample intervals of 1 hour for temperature and 6 hours for temperature differences. In addition, this modular buoy consisted of sensors measuring position (GPS) and barometric pressure at hourly intervals. The buoy was installed on a ridge, called Jaridge that was studied during leg 4, in the MOSAiC Central Observatory. This instrument was deployed as part of the project Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean (HAVOC), funded by the Research Council of Norway (project number 280292).
    Keywords: 2020M26; Arctic Ocean; autonomous platform; buoy; Current sea ice maps for Arctic and Antarctic; HAVOC; Ice mass balance; Ice Mass Balance buoy, flexibel; IMBflex; meereisportal.de; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/4; PS122/4_43-68; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; solar radiation; Temperature
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 42
    facet.materialart.
    Unknown
    Antiphased dust deposition and productivity in the Antarctic Zone over 1.5 million years (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: The Southern Ocean paleoceanography provides key insights into how iron fertilization and oceanic productivity developed through Pleistocene ice-ages and their role in influencing the carbon cycle. We report the first high-resolution record of dust deposition and ocean productivity for the Antarctic Zone, close to the main dust source, Patagonia. Our deep-ocean records cover the last 1.5 Ma, thus doubling that from Antarctic ice-cores. We find a 5 to 15-fold increase in dust deposition during glacials and a 2 to 5-fold increase in biogenic silica deposition, reflecting higher ocean productivity during interglacials. This antiphasing persisted throughout the last 25 glacial cycles. Dust deposition became more pronounced across the Mid-Pleistocene Transition (MPT) in the Southern Hemisphere, with an abrupt shift suggesting more severe glaciations since ~0.9 Ma. Productivity was intermediate pre-MPT, lowest during the MPT and highest since 0.4 Ma. Generally, glacials experienced extended sea-ice cover, reduced bottom-water export and Weddell Gyre dynamics, which helped lower atmospheric CO2 levels.
    Keywords: Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP
    Type: Dataset
    Format: application/zip, 12 datasets
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    DATA PANGAEA
  • 43
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    The ice mass balance and CT package data of the buoy unmanned ice station collected in Arctic Ocean during the MOSAiC expedition 2019/2020 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: One unmanned ice station (UIS) has been deployed at the L3 site (85.13ºN, 135.68ºE) of the Distributed Network (DN) of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign on 10 October 2019. The UIS is a new prototype of IMB assembled by the Polar Research Institute of China, which consists of two separate units (ice and ocean) to measure physical parameters of the air-snow-sea ice-ocean system. For the ice unit, two acoustic sensors (Campbell SR50A and Teledyne-Benthos PSA916, respectively) are used to measure the relative changes in the position of the air/snow and ice/water interfaces. Thermistors (Maxim Integrated DS28EA00) mounted at 0.03 m spacing along a 4.5-m thermistor chain were used to measure temperature profiles. Air temperature and relative humidity (Vaisala HMP155A), as well as barometric pressure (Vaisala CS106), were measured at 1.5 m height above the initial snow surface. The UIS ocean unit (CT package) consisted of five conductivity & temperature sensors (RBR duo CT), one conductivity, and temperature & depth (pressure) sensor (RBR concerto CTD). The ocean unit were used to measure upper ocean at the depths of about 5-40 m, with the initial depths of 5.4, 10.4, 15.4, 20.4, 25.4, and 40.4 m. The ice and ocean units of UIS were deployed 10 m apart. The initial ice thickness and snow depth at the buoy deployment site were 1.53 and 0.15 m, respectively. The changes in ice thickness was determined using measurements by the underwater acoustic sounder. The measuring noise of the acoustic sounder has been removed. Since the acoustic sensor at the surface was invalid very soon after the deployment, the evolution of the air/snow interface was determined using the temperature profiles. Overall, the measurement accuracy was 0.1 K for temperature, 0.03 m for the snow or ice surface, and 0.01 m for the ice bottom, respectively. After the snow cover melted over, the negative values for the snow depth indicate the onset of ice surface melt. The changes in the depths of CT sensors were estimated based on their initial depths and the depth measured by the CTD at the bottom of CT package. The measurement of the UIS ice unit lasted until 15 June 2020 when the buoy drifted to 82.28°N; while the ocean unit lasted until 28 September 2020 and finally failed at 74.09°N.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_100; Akademik Fedorov; Arctic Ocean; CT package; Mosaic; MOSAiC; MOSAiC20192020; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1_1-263; PS122/4; PS122/4_43-177; Sea ice mass balance; UnIS; Unmanned ice station; Unmanned Ice Station
    Type: Dataset
    Format: application/zip, 5 datasets
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    DATA PANGAEA
  • 44
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    Processed data of CTD buoys 2019O1 to 2019O8 as part of the MOSAiC Distributed Network (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: A set of eight ice-tethered buoy systems (2019O1 to 2019O8) were deployed by the Akademik Fedorov in the Northern Laptev Sea in early October 2019 as part of the MOSAiC Distributed Network. Each buoy consisted of 5 Seabird SBE37IMP Microcat CTDs mounted along an inductive modem tether at depths of 10, 20, 50, 75 and 100m. The CTDs were recording oceanographic data internally at 2-minute intervals. The surface unit of the buoy prompted the instruments for an additional measurement every 10 minutes, which was then transmitted to a base station via iridium along with GPS position and time, as well as surface temperature. After a several months long drift through the Central Arctic Ocean, 4 out of 8 buoys were recovered in August 2020, and the internally recorded data from the CTDs were secured. The 10-minute buoy data and 2-minute CTD data were co-processed and merged into a combined product. A buoy flag indicates whether a measurement was taken by the buoy (1) or was recorded by the CTD itself (0). The data were quality controlled by means of outlier detection using global limits, moving average filters and manual inspection. The dataset was carefully checked for inconsistencies, especially in the salinity. A (slightly modified) quality flagging scheme was applied according to the Ocean Data Standards Volume 3 (UNESCO 2013), where 1 = Good, 2 = Good (Modified), 3 = Questionable, 4 = Bad, 9 = no data. Finally, the data were validated against independent measurements. Details are available in the data paper indicted below.
    Keywords: 2019O1; 2019O3; 2019O4; 2019O6; AF-MOSAiC-1; AF-MOSAiC-1_106; AF-MOSAiC-1_110; AF-MOSAiC-1_114; AF-MOSAiC-1_117; AF-MOSAiC-1_121; AF-MOSAiC-1_124; AF-MOSAiC-1_127; AF-MOSAiC-1_131; Akademik Fedorov; Akademik Tryoshnikov; Arctic Ocean; AT-MOSAiC-1; AT-MOSAiC-1_1; AT-MOSAiC-1_4; buoy; eddy; FRAM; FRontiers in Arctic marine Monitoring; mesoscale; mesoscale eddy; MIDO; MOSAiC; MOSAIC_PO; MOSAiC20192020; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Multidisciplinary Ice-based Distributed Observatory; North Greenland Sea; Ocean CTD buoy; oceanographic time series; oceanography; OCTDB; Polarstern; PS122/1_1-148, 2019O1; PS122/1_1-149, 2019O2; PS122/1_1-150, 2019O3; PS122/1_1-151, 2019O4; PS122/1_1-152, 2019O5; PS122/1_1-153, 2019O6; PS122/1_1-154, 2019O7; PS122/1_1-155, 2019O8; PS122/4; PS122/4_43-149; PS122/4_43-165; Transpolar Drift
    Type: Dataset
    Format: application/zip, 8 datasets
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    DATA PANGAEA
  • 45
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    Temperature and heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy 2020T79, deployed during MOSAiC 2019/20 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA 2020T79 (a.k.a. PRIC_10_07, IRIDIUM number 300234068527600) is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the 3rd leg of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) in April 2020. The buoy was deployed at the new Met City of Central observatory with initial thicknesses of snow and ice of 0.32 and 2.82 m, respectively, on 16 April 2020. The thermistor chain was 5 m long and included 241 sensors with a regular spacing of 2 cm. The depths for the sensors are 66 to -412 cm, referring to the initial interface between snow and ice. The last sensor was used to measure the air temperature at 1 m above the initial snow surface. The resulting time series describes the evolution of temperature and temperature differences after two heating cycles of 30 and 120 s as a function of depth and time between 16 April 2020 and 31 July 2020 in sample intervals of 6 hours for temperature and 24 hours for temperature differences. In addition to temperature, geographic position, barometric pressure, tilt and compass were measured.
    Keywords: 2020T79; 2020T79, PRIC_10_07; Arctic Ocean; MOSAiC; MOSAiC20192020; MOSAiC-ICE; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/3; PS122/3_28-92; PS122/4; PS122/4_43-155; SAMS Ice Mass Balance buoy; Sea ice mass balance; SIMBA; snow; Temperature
    Type: Dataset
    Format: application/zip, 4 datasets
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    DATA PANGAEA
  • 46
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    Tethered balloon-borne measurements of solar radiation during MOSAiC leg 4 in July 2020 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: The tethered balloon system BELUGA (Balloon-bornE moduLar Utility for profilinG the lower Atmosphere) was operated during leg 4 of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC). The balloon was operated from the Balloon Town site in the central observatory, close to RV Polarstern (Shupe et al., 2022). Balloon payload included an extended meteorological package, an ultrasonic anemometer package, a broadband radiation package, the video ice particle sampler, and the cubic aerosol measurement platform. An overview showing the value of the combined observation is displayed by Lonardi et al. (2022). The data processing is described in Pilz et al. (2023). The present dataset covers the solar irradiances measured by the broadband radiation package on 18 flights between 29 June and 27 July 2020.
    Keywords: ABL; AC3; Arctic; Arctic Amplification; Arctic Ocean; BELUGA; Broadband radiation; Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/4; PS122/4_45-141; PS122/4_45-156; PS122/4_46-183; PS122/4_47-165; PS122/4_47-166; PS122/4_47-167; PS122/4_47-168; PS122/4_47-171; PS122/4_47-99; PS122/4_48-131; PS122/4_48-133; PS122/4_48-135; PS122/4_48-139; PS122/4_48-216; PS122/4_48-217; PS122/4_48-218; PS122/4_49-98; Radiation fluxes; solar radiation; Tethered balloon; Tethered balloon system BELUGA; vertical profile
    Type: Dataset
    Format: application/zip, 18 datasets
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    DATA PANGAEA
  • 47
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    Geochemistry of pore water and sediments from Wismar Bay (Germany), southern Baltic Sea (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: Short sediment cores were taken at six stations in Wismar Bay, southern Baltic Sea (Germany) in May 2019 using a Rumohr-Lot device. Our aim in this study was to investigate the role of diagenetic element fluxes and different fresh water sources, including submarine groundwater discharge, on the water column in the bay. Porewaters were extracted from the sediment cores by applying the rhizon technique at a resolution between 2 and 5 cm. The porewaters were analyzed for major and trace metals and selected nutrients using a ICP-OES (iCAP, 7400, Duo Thermo Fischer Scientific), total sulphide by a Specord 40 spectrophotometer (Analytik Jena), dissolved inorganic carbon (DIC) and δ13CDIC using an isotope gas mass spectrometre (MAT 253) coupled to a Gasbench II, and δ18OH2O, and δ2HH2O using a CRDS system (laser cavity-ring-down-spectroscopy, Picarro L2140- I). Sediment cores were further sliced at 2 to 4 cm resolution and each freeze-dried solid subsample was analyzed for contents of total carbon, nitrogen, and sulphur using an Elemental Analyzer (Euro Vector EuroEA 3, 052), inorganic carbon using an Elemental Analyzer multi EA (Analytik Jena), total mercury by a DMA-80 analyzer, and HCl-extractable Pb, Mn and Fe using an ICP-OES (iCAP, 7400, Duo Thermo Fischer Scientific).
    Keywords: DAM sustainMare - MGF Baltic Sea: Exclusion of mobile bottom-contact fishing in marine protected areas of the German Exclusive Economic Zone of the Baltic Sea; MGF_Baltic_Sea; Research Mission of the German Marine Research Alliance (DAM): Protection and sustainable use of marine areas; southern Baltic Sea; Stable isotope; submarine groundwate discharge; sustainMare
    Type: Dataset
    Format: application/zip, 2 datasets
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    DATA PANGAEA
  • 48
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    Spectral radiation fluxes, albedo and transmittance from autonomous measurement from Radiation Station 2020R15, deployed during MOSAiC 2019/20 (2022)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-26
    Description: Solar radiation over and under sea ice was measured by radiation station 2020R15, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 4) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 13 July 2020 and 19 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. This buoy had no own GPS source. It was located at the Central Observertory (CO2) of MOSAiC. The drift track of CO2 is published here: Nicolaus, Marcel; Riemann-Campe, Kathrin; Bliss, Angela; Hutchings, Jennifer K; Granskog, Mats A; Haas, Christian; Hoppmann, Mario; Kanzow, Torsten; Krishfield, Richard A; Lei, Ruibo; Rex, Markus; Li, Tao; Rabe, Benjamin (2021): Drift trajectory of the Central Observatory 2 (CO2) of the Distributed Network of MOSAiC 2019/2020. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.937186
    Keywords: 2020R15; Arctic Ocean; autonomous platform; AWI_SeaIce; buoy; Current sea ice maps for Arctic and Antarctic; drift; meereisportal.de; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/4; PS122/4_43-119; RAD_S; Radiation Station; Sea Ice Physics @ AWI; solar radiation
    Type: Dataset
    Format: application/zip, 5 datasets
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    DATA PANGAEA
  • 49
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    Rock and paleomagnetic data from two sediment cores from the Black Sea for the past 30 ka (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: Rock magnetic and paleomagnetic results covering the past 30 ka were constructed from two sediment cores MSM33_856-1 (MSM33-55-1) and MSM33_855-1 (54-3) from the Black Sea. After the Mediterranean Sea water ingression, finely laminated organic-rich sapropelic sediments and coccolith oozes were deposited in the Black Sea since about 8.3 ka. Relict magnetic minerals in the Black Sea sarpoples are ferrous hemoilmenite, Fe-Mn and Fe-Cr spinels, and magnetite inclusions. In sediments deposited between about 14 and 8 ka, greigite and pyrite were formed in sediments because of the seawater penetration from overlying sediments after the seawater ingression. Before ~14 ka, the Black Sea sediments are dominated by detrital (titano-)magnetite minerals and the sporadically formed greigite which has SIRM/𝜅LF ratios 〉 10 kAm-2. By comparison with detrital (titano-)magnetite samples between 20-30 ka, we found that relict magnetic mineral samples between 0-8.3 ka have similar behavior in recording the geomagnetic field. Moreover, the geomagnetic field variations reconstructed from the Black Sea sapropels are comparable with other validated regional datasets for the past 8.3 ka. The natural remanent magnetization (NRM) and the anhysteretic remanent magnetization (ARM) were measured with a 2G Enterprises 755 SRM (cryogenic) long-core magnetometer equipped with a sample holder for eight discrete samples at a separation of 20 cm. The magnetometer's in-line tri-axial alternating field (AF) demagnetizer was used to demagnetize the NRM and ARM of the samples. The NRM was measured after application of AF peak amplitudes of 0, 5, 10, 15, 20, 30, 40, 50, 65, 80, and 100 mT. Directions of the characteristic remanent magnetization (ChRM) were determined by principle component analysis (PCA) according to Kirschvink (1980). The error range of the ChRM is given as the maximum angular deviation (MAD). The ARM was imparted along the samples' z-axis with a static field of 0.05 mT and an AF field of 100 mT. Demagnetization then was performed in steps of 0, 10, 20, 30, 40, 50, 65, and 80 mT. The median destructive field of the ARM (MDFARM) was determined to estimate the coercivity of the sediments. The slope of NRM versus ARM of common demagnetization steps was used to determine the relative paleointensity (RPI). In most cases, demagnetization steps from 20 to 65 mT were used to determine the RPI.
    Keywords: Baltic Sea Research Institute, Warnemünde; Black Sea; GeoForschungszentrum Potsdam; GFZ; Holocene; IOW; Paleomagnatic Secular Variation (PSV); rock magnetism
    Type: Dataset
    Format: application/zip, 2 datasets
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    DATA PANGAEA
  • 50
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    Quicklook plots for all data obtained from remotely operated vehicle (ROV) surveys during the MOSAiC expedition 2019/20 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020. The horizontal positions in the plots are only the pre-processed version and are not post-processed as described in the comments of the bibliography or as provided in the collection positioning and telemetry.
    Keywords: Arctic Ocean; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_10-113; PS122/1_5-62; PS122/1_6-118; PS122/1_6-16; PS122/1_6-31; PS122/1_7-18; PS122/1_7-55; PS122/1_8-125; PS122/1_9-22; PS122/2; PS122/2_18-10; PS122/2_18-19; PS122/2_18-89; PS122/2_19-115; PS122/2_19-27; PS122/2_20-101; PS122/2_20-23; PS122/2_21-125; PS122/2_21-36; PS122/2_22-107; PS122/2_22-45; PS122/2_23-116; PS122/2_23-29; PS122/2_24-70; PS122/2_24-97; PS122/2_25-104; PS122/2_25-44; PS122/3; PS122/3_29-14; PS122/3_29-65; PS122/3_30-69; PS122/3_31-17; PS122/3_31-75; PS122/3_32-11; PS122/3_32-33; PS122/3_32-34; PS122/3_32-78; PS122/3_33-27; PS122/3_33-83; PS122/3_34-20; PS122/3_35-32; PS122/3_35-95; PS122/3_36-112; PS122/3_36-125; PS122/3_36-24; PS122/3_37-108; PS122/3_37-19; PS122/3_37-20; PS122/3_38-50; PS122/3_38-85; PS122/3_38-91; PS122/3_39-111; PS122/3_39-152; PS122/3_39-20; PS122/3_39-77; PS122/4; PS122/4_44-162; PS122/4_44-191; PS122/4_44-206; PS122/4_45-129; PS122/4_45-149; PS122/4_45-61; PS122/4_46-172; PS122/4_46-174; PS122/4_46-175; PS122/4_46-176; PS122/4_46-177; PS122/4_46-37; PS122/4_47-135; PS122/4_47-31; PS122/4_48-213; PS122/4_48-4; PS122/4_49-105; PS122/5; PS122/5_59-269; PS122/5_59-369; PS122/5_60-165; PS122/5_60-166; PS122/5_60-167; PS122/5_60-28; PS122/5_60-5; PS122/5_61-156; PS122/5_61-200; PS122/5_61-35; PS122/5_62-103; PS122/5_62-165; PS122/5_62-65; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 93 datasets
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    DATA PANGAEA
  • 51
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    Absorbance and spectral absorption coefficient (SAC) parameters from remotely operated vehicle (ROV) surveys during the MOSAiC expedition 2019/20 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: Absorbance and spectral absorption coefficient (SAC) parameters as measured by a VIPER G2 spectral transmissometer (TriOS) mounted in the sensor skid of a remotely operated vehicle (ROV) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020. Data use manufacturer calibration. The path length was 250 mm and the wavelength range 360-750 nm. More technical details can be found here: https://www.trios.de/en/viper.html.
    Keywords: Arctic Ocean; attenuation coefficient; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_10-113; PS122/1_5-62; PS122/1_6-118; PS122/1_6-16; PS122/1_6-31; PS122/1_7-18; PS122/1_7-55; PS122/1_8-125; PS122/1_9-22; PS122/2; PS122/2_18-10; PS122/2_18-19; PS122/2_18-89; PS122/2_19-115; PS122/2_19-27; PS122/2_20-101; PS122/2_20-23; PS122/2_21-125; PS122/2_21-36; PS122/2_22-107; PS122/2_22-45; PS122/2_23-116; PS122/2_23-29; PS122/2_24-70; PS122/2_24-97; PS122/2_25-104; PS122/2_25-44; PS122/3; PS122/3_29-14; PS122/3_29-65; PS122/3_30-69; PS122/3_31-17; PS122/3_31-75; PS122/3_32-11; PS122/3_32-33; PS122/3_32-34; PS122/3_32-78; PS122/3_33-27; PS122/3_33-83; PS122/3_34-20; PS122/3_35-32; PS122/3_35-95; PS122/3_36-112; PS122/3_36-125; PS122/3_36-24; PS122/3_37-108; PS122/3_37-19; PS122/3_37-20; PS122/3_38-50; PS122/3_38-85; PS122/3_38-91; PS122/3_39-111; PS122/3_39-152; PS122/3_39-20; PS122/3_39-77; PS122/4; PS122/4_44-162; PS122/4_44-191; PS122/4_44-206; PS122/4_45-129; PS122/4_45-149; PS122/4_45-61; PS122/4_46-172; PS122/4_46-174; PS122/4_46-175; PS122/4_46-176; PS122/4_46-177; PS122/4_46-37; PS122/4_47-135; PS122/4_47-31; PS122/4_48-213; PS122/4_48-4; PS122/4_49-105; PS122/5; PS122/5_59-269; PS122/5_59-369; PS122/5_60-165; PS122/5_60-166; PS122/5_60-167; PS122/5_60-28; PS122/5_60-5; PS122/5_61-156; PS122/5_61-200; PS122/5_61-35; PS122/5_62-103; PS122/5_62-165; PS122/5_62-65; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 92 datasets
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    DATA PANGAEA
  • 52
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    Total Sky Imager observations during POLARSTERN cruise PS122/4, Longyearbyen - Arctic Ocean (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: The dataset consist of camera shots of the sky. The camera - a total sky imager manufactured by Canon (Powershot) - was mounted at the top of the Research Vessel Polarstern. At the leg4 (from June until August 2020) of the MOSAIC experiment from Longyearbyen - Arctic Ocean this camera shots were taken with a temporal resolution between 1 minute and 16 seconds. The dataset represents the visible projection of weather conditions and cloud cover recorded on the vessel Polarstern in the direction near the zenith. These observations are useful for the interpretation of the atmospheric radiation measurements.
    Keywords: Arctic Ocean; ATMOBS; Atmospheric Observatory; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; OCEANET; Polarstern; PS122/4; PS122/4_43-11; PS122/4_43-145; total sky image
    Type: Dataset
    Format: application/zip, 70 datasets
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    DATA PANGAEA
  • 53
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    Energy content measurements on Arctic zooplankton collected during MOSAiC (PS122) (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: This dataset contains energy content measurements performed on zooplankton collected in the Arctic Ocean during the MOSAiC expedition (PS122) from November 2019 untill September 2020. Energy content measurements were done on Apherusa glacialis, Themisto abyssorum, Chaetognatha, Thysanoessa longicaudata and Calanus hyperboreus. These species are all known prey of polar cod (Boreogadus saida), and their energy content was measured to be included in a bioenergetic model of the growth rate of this predator and to gain insight in the differences between prey species. The meaurements were performed on freeze-dried specimens using a 6725 semi-micro oxygen calorimeter (Parr, USA) connected to a 6772 calorimetric thermometer (Parr, USA).
    Keywords: Arctic; Arctic Ocean; BEAST; bomb-calorimetry; energy density; MOSAiC; MOSAiC_ECO; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Nansen closing net; NN; Polarstern; PS122/1; PS122/1_7-48; PS122/1_7-81; PS122/2; PS122/2_17-40; PS122/2_17-77; PS122/2_18-33; PS122/2_19-16; PS122/2_19-31; PS122/2_20-11; PS122/2_20-16; PS122/2_20-24; PS122/2_21-42; PS122/2_22-24; PS122/3; PS122/3_30-69; PS122/3_31-62; PS122/3_36-112; PS122/3_37-108; PS122/3_39-38; PS122/3_39-55; PS122/4; PS122/4_44-75; PS122/4_45-32; PS122/4_45-55; PS122/4_46-41; PS122/4_47-135; PS122/4_48-213; PS122/4_49-21; PS122/5; PS122/5_61-196; PS122/5_62-90; Remotely operated sensor platform BEAST; Ring net; RN; Zooplankton
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 54
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    Processed 1 minute scintillation measurements from POLARSTERN deck during the MOSAiC expedition with POLARSTERN to the Arctic (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: GNSS Raw Data (doi:10.1594/PANGAEA.956114) from board RV Polarstern during the MOSAiC expedition was processed with scintillation-processing software (see Kriegel et al, 2017). The result is stored in .ascii format and contains for each GNSS satellite in view general information such as C/No, Azimuth and Elevation Angle and basic scintillation measurements such as amplitude and phase scintillation index. Results are provided with 1 minute resolution.
    Keywords: Arctic Ocean; GNSS; GNSS Receiver; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Polarstern; PS122/1; PS122/1_1-3; PS122/1_1-30; PS122/2; PS122/2_14-130; PS122/3; PS122/3_99-89; PS122/4; PS122/4_99-90; PS122/5; PS122/5_58-130
    Type: Dataset
    Format: application/zip, 5 datasets
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    DATA PANGAEA
  • 55
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    Bulk mineral assemblage of sediment cores from Svalbard fjords determined via full pattern QXRD (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: The XRD data has been gained from pulverized and homogenized samples of every 5 cm by KOPRI personal at KOPRI and University of Tromsoe sampling parties. XRD raw measurements were run at Crystallography, Geosciences, University of Bremen in 2018-2020. Measurement conditions: Philips X'Pert Diffractometer, Cu radiation, fixed divergence, secoundary Ni filter, 3-85 ° 2theta, 0.0016° step size, 100 sec calculated step time. XRD mineral assemblage determination were subsequently gained through the QUAX full pattern quantitative determination software (see Vogt et al. 2002 at Pangaea methods wiki). The software allows for differentiation of all minerals. Here, the Fe-oxides and hydroxides were in the focus of the research manuscript. A QXRD investigation allows for not only identification of mineral content but also for detailing authigenic vs. allochthonous minerals, transport of detrital input to the sediment core and the interpretation of the transport processes and the local environment as well as the paleoceanographic reconstruction of the region. Sediment ages are given through the below mentioned data sets. A series of fjord surface sediments were collected from various Svalbard fjord systems during expeditions of RV Helmer Hanssen from UiT The Arctic University of Norway between 2012 and 2019 (Fig. 1). Four gravity cores were retrieved along a 150 km long N‒S transect from the continental shelf off northern Svalbard to the innermost Wijdefjorden: core HH17-1085-GC (hereafter 1085; 80.27°N, 16.21°E, 322 m water depth; continental shelf), HH17-1094-GC (hereafter 1094; 79.74°N, 15.42°E, 148 m water depth; fjord mouth), HH17-1100-GC (hereafter 1100; 79.30°N, 15.78°E, 112 m water depth; central fjord), and HH17-1106-GC (hereafter 1106; 79.00°N, 16.21°E, 160 m water depth; inner fjord)
    Keywords: Full Pattern Quantification with QUAX software; Holocene Research; Korean Polar Institute; Svalbard fjords; XRD
    Type: Dataset
    Format: application/zip, 6 datasets
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    DATA PANGAEA
  • 56
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    Hydrographic data from remotely operated vehicle (ROV) surveys during the MOSAiC expedition 2019/20 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: Conductivity, temperature, and pressure were measured by a Glider Payload CTD (SBE GPCTD, Seabird). Oxygen frequency was measured by an oxygen optode (SBE 43F DO, Seabird). Both instruments were mounted in the sensor skid of a remotely operated vehicle (ROV) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020. Data use manufacturer calibration. The Gibbs SeaWater (GSW) Oceanographic Toolbox of TEOS-10 was used to derive other hydrographic data. The conversion from oxygen frequency to dissolved oxygen concentration was performed using the OOI L2 data product DOCONCF (Vardaro, 2014).
    Keywords: Arctic Ocean; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; GPCTD; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/2; PS122/2_18-10; PS122/2_18-19; PS122/2_18-89; PS122/2_19-115; PS122/2_19-27; PS122/2_20-101; PS122/2_20-23; PS122/2_21-125; PS122/2_21-36; PS122/2_22-107; PS122/2_22-45; PS122/2_23-116; PS122/2_23-29; PS122/2_24-70; PS122/2_24-97; PS122/2_25-104; PS122/2_25-44; PS122/3; PS122/3_29-14; PS122/3_29-65; PS122/3_30-69; PS122/3_31-17; PS122/3_31-75; PS122/3_32-11; PS122/3_32-33; PS122/3_32-34; PS122/3_32-78; PS122/3_33-27; PS122/3_33-83; PS122/3_34-20; PS122/3_35-32; PS122/3_35-95; PS122/3_36-112; PS122/3_36-125; PS122/3_36-24; PS122/3_37-108; PS122/3_37-19; PS122/3_37-20; PS122/3_38-50; PS122/3_38-85; PS122/3_38-91; PS122/3_39-111; PS122/3_39-152; PS122/3_39-20; PS122/3_39-77; PS122/4; PS122/4_44-162; PS122/4_44-191; PS122/4_44-206; PS122/4_45-129; PS122/4_45-149; PS122/4_45-61; PS122/4_46-172; PS122/4_46-174; PS122/4_46-175; PS122/4_46-176; PS122/4_46-177; PS122/4_46-37; PS122/4_47-135; PS122/4_47-31; PS122/4_48-213; PS122/4_48-4; PS122/4_49-105; PS122/5; PS122/5_59-269; PS122/5_59-369; PS122/5_60-165; PS122/5_60-166; PS122/5_60-167; PS122/5_60-28; PS122/5_60-5; PS122/5_61-156; PS122/5_61-200; PS122/5_61-35; PS122/5_62-103; PS122/5_62-165; PS122/5_62-65; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 84 datasets
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    DATA PANGAEA
  • 57
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    Water/ice velocity from remotely operated vehicle (ROV) surveys during the MOSAiC expedition 2019/20 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: Water/ice velocity data and instrument status from a Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to a remotely operated vehicle (ROV) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020. The Aquadopp System Integrator Manual by Nortek AS can be found here: https://sensor.awi.de/rest/sensors/onlineResources/getOnlineResourcesFile/1764/system-integrator-manual_Mar2016.pdf
    Keywords: ADCP; Arctic Ocean; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_10-113; PS122/1_5-62; PS122/1_6-118; PS122/1_6-16; PS122/1_6-31; PS122/1_7-18; PS122/1_7-55; PS122/1_9-22; PS122/2; PS122/2_18-10; PS122/2_18-19; PS122/2_18-89; PS122/2_19-115; PS122/2_19-27; PS122/2_20-101; PS122/2_20-23; PS122/2_21-125; PS122/2_21-36; PS122/2_22-107; PS122/2_22-45; PS122/2_23-116; PS122/2_23-29; PS122/2_24-70; PS122/2_24-97; PS122/2_25-104; PS122/2_25-44; PS122/3; PS122/3_29-14; PS122/3_29-65; PS122/3_30-69; PS122/3_31-17; PS122/3_31-75; PS122/3_32-11; PS122/3_32-33; PS122/3_32-34; PS122/3_32-78; PS122/3_33-27; PS122/3_33-83; PS122/3_34-20; PS122/3_35-32; PS122/3_35-95; PS122/3_36-112; PS122/3_36-125; PS122/3_36-24; PS122/3_37-108; PS122/3_37-19; PS122/3_37-20; PS122/3_38-50; PS122/3_38-85; PS122/3_38-91; PS122/3_39-111; PS122/3_39-152; PS122/3_39-20; PS122/3_39-77; PS122/4; PS122/4_44-162; PS122/4_44-191; PS122/4_44-206; PS122/4_45-129; PS122/4_45-149; PS122/4_45-61; PS122/4_46-172; PS122/4_46-174; PS122/4_46-175; PS122/4_46-176; PS122/4_46-177; PS122/4_46-37; PS122/4_47-135; PS122/4_47-31; PS122/4_48-213; PS122/4_48-4; PS122/4_49-105; PS122/5; PS122/5_59-269; PS122/5_59-369; PS122/5_60-165; PS122/5_60-166; PS122/5_60-167; PS122/5_60-28; PS122/5_60-5; PS122/5_61-156; PS122/5_61-200; PS122/5_61-35; PS122/5_62-103; PS122/5_62-165; PS122/5_62-65; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 184 datasets
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  • 58
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    Alkenone and TEX86 data for MIS 6 to 5 on the Brazilian Margin (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: We generated alkenone- and TEX86- based paleotemperature estimates for MIS 6-5 in core M125-55-7 (offshore Eastern Brazil) to text whether previously generated foraminiferal Mg/Ca SST are seasonaly biased. We find that alkenone and Mg/Ca-temperatures reflect annual mean SST with a transient winter bias of alkenone SST during MIS 5a-c. The winter-bias might relate to increased upwelling activity as indicated by higher abundances of G. bulloides. TEX86 temperatures (despite showing annual mean SST in core tops) deviate by up to 6°C to lower temperatures which we attribute to increased input of terrestrial GDGT during MIS 6 as indicated by an high BIT index and (ii) migration of the TEX86 producers to deeper levels within the water column following changes in vertical particle flux efficiency.
    Keywords: Alkenone; BIT index; foraminifera abundance; M125; M125_445-7; M125-55-7; Meteor (1986); PC; Piston corer; SAMBA; South Atlantic Ocean; TEX86
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 59
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    Temperature and heating induced temperature difference measurements from the sea ice mass balance buoy DTC16 during MOSAiC 2019/2020 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Description: Temperature and heating-induced temperature were measured along a chain of thermistors. Digital Thermistor Chain DTC16 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the MOSAiC expedition on 7 November 2019. The thermistor chain was 4.16 m long and included sensors with a regular spacing of 2 cm. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 7 November 2019 and 27 April 2020 in sample intervals of 6 hours. It also contains manually estimated position of air-snow, snow-ice, and ice-water interfaces. The DTC was installed in deformed second-year ice next to the HSVA stress panels close to RV Polarstern.
    Keywords: Arctic Ocean; autonomous platform; buoy; CTC16; Digital thermistor chain; DTC; DTC16; Ice mass balance; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_1-119; PS122/2; PS122/2_14-101; PS122/4; PS122/4_47-151; Temperature
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 60
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    Dinoflagellate cysts in western equatorial Atlantic surface sediments (2000)
    PANGAEA
    In:  Supplement to: Vink, Annemiek; Zonneveld, Karin A F; Willems, Helmut (2000): Organic-walled dinoflagellate cysts in western equatorial Atlantic surface sediments: Distributions and their relation to environment. Review of Palaeobotany and Palynology, 112(4), 247-286, https://doi.org/10.1016/S0034-6667(00)00046-4
    Details
    Publication Date: 2024-06-26
    Description: In contrast to the wide range of studies carried out in temperate and high-latitude oceanic regions, only a few studies have focused on recent and Holocene organic-walled dinoflagellate cyst assemblages from the tropics. This information is, however, essential for fully understanding the ability of species to adapt to different oceanographic regimes, and ultimately their potential application to local and regional palaeoenvironmental and palaeoceanographic reconstructions. Surface sediment samples of the western equatorial Atlantic Ocean north of Brazil, an area greatly influenced by Amazon River discharge waters, were therefore analysed in detail for their organic-walled dinoflagellate cyst content. A diverse association of 43 taxa was identified, and large differences in cyst distribution were observed. The cyst thanatocoenosis in bottom sediments reflects the seasonal advection of Amazon River discharge water through the Guyana Current and the North Equatorial Countercurrent well into the North Atlantic. To establish potential links between cyst distribution and the environmental conditions of the upper water column, distribution patterns were compared with mean temperature, salinity, density and stratification gradients within the upper water column (0–100 m) over different times of the year, using correspondence analysis and canonical correspondence analysis. The analyses show that differences in these parameters only play a subordinate role in determining species distribution. Instead, nutrient availability, or related factors, dominates the distribution pattern. The only possible indicators of slightly reduced salinities are Trinovantedinium applanatum and Lingulodinium machaerophorum. Four assemblage groups of cyst taxa with similar environmental affinities related to specific water masses/currents can be distinguished and have potential for palaeoenvironmental reconstruction.
    Keywords: Amazon Fan; Amazon Shelf/Fan; Atlantic Caribbean Margin; Bitectatodinium spongium; Brazil Basin; Brigantedinium; Brigantedinium cariacoense; Ceara Rise; Continental slope off Brazil; Counting, dinoflagellate cysts; Dalella chathamensis; DEPTH, sediment/rock; Dinoflagellate cyst indeterminata; Diplopelta symmetrica; Echinidinium aculeatum; Echinidinium delicatum; Echinidinium granulatum; Echinidinium spp.; Echinidinium transparantum; Elevation of event; Equatorial Atlantic; Event label; GeoB; GeoB3809-1; GeoB3810-2; GeoB3812-2; GeoB3822-1; GeoB3825-1; GeoB3826-2; GeoB3827-1; GeoB3906-9; GeoB3908-11; GeoB3909-1; GeoB3910-3; GeoB3911-1; GeoB3912-2; GeoB3913-2; GeoB3914-3; GeoB3916-1; GeoB3918-1; GeoB3925-2; GeoB3935-1; GeoB3936-2; GeoB3937-1; GeoB3938-2; GeoB3939-1; GeoB4306-1; GeoB4311-1; GeoB4319-11; GeoB4401-3; GeoB4404-2; GeoB4408-3; GeoB4412-3; GeoB4417-5; GeoB4418-2; GeoB4423-3; GeoB4424-2; Geosciences, University of Bremen; Guayana continental slope; Impagidinium aculeatum; Impagidinium pallidum; Impagidinium paradoxum; Impagidinium patulum; Impagidinium plicatum; Impagidinium sp.; Impagidinium sphaericum; Impagidinium strialatum; Impagidinium variaseptum; Impagidinium velorum; Latitude of event; Lejeunecysta oliva; Lejeunecysta sabrina; Lingulodinium machaerophorum long; Lingulodinium machaerophorum short; Longitude of event; M34/3; M34/4; M38/1; M38/2; Melitasphaeridium; Meteor (1986); Midatlantic Ridge; Mid Atlantic Ridge; MUC; MultiCorer; Multispinula quanta; Nematosphaeropsis labyrinthus; Nematosphaeropsis lemniscata; Northeast Brasilian Margin; Northern Brasil Basin; Operculodinium; Operculodinium israelianum long; Operculodinium israelianum short; Pentapharsodinium dalei; Pixidinopsis reticulata; Polyspaeridium zoharyi; Protoceratium reticulatum long; Protoceratium reticulatum short; Protoperidinium americanum; Protoperidinium compressum; Protoperidinium nudum; Quenquecuspis concretum; Sample mass; see reference(s); Selenopemphix alticinctum; Slide volume; Spiniferites; Spiniferites bentori; Spiniferites bulloideus; Spiniferites delicatus; Spiniferites hyperacanthus; Spiniferites membranaceus; Spiniferites mirabilis; Spiniferites pachydermus; Spiniferites ramosus; Trinovantedinium capitatum; Tuberculodinium vancampoae; Vema Channel; Votadinium calvum; Votadinium spinosum
    Type: Dataset
    Format: text/tab-separated-values, 1938 data points
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  • 61
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    Stable isotopes, Temperature and foraminifera flux data of trap CB1_trap (2000)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Keywords: Calculated; Calculated, see reference(s); CB1_trap; DATE/TIME; Date/time end; DEPTH, water; Duration, number of days; Foraminifera, planktic, flux; GeoB; Geosciences, University of Bremen; Globigerinoides ruber white, δ13C; Globigerinoides ruber white, δ18O; Limacina inflata, δ13C; Limacina inflata, δ18O; M6/6; Mass spectrometer Finnigan MAT 251; Meteor (1986); Pt-100 temperature sensor, Honchigo, Japan; Sample code/label; SFB261; South Atlantic in Late Quaternary: Reconstruction of Budget and Currents; Temperature, water; Trap; TRAP
    Type: Dataset
    Format: text/tab-separated-values, 153 data points
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    DATA PANGAEA
  • 62
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    Geochemistry of sediment core GeoB1023-4 (2000)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Keywords: Angola Basin; Barium; DEPTH, sediment/rock; Druckaufschluß; GeoB; GeoB1023-4; Geosciences, University of Bremen; Gravity corer (Kiel type); Inductively coupled plasma atomic emission spectroscope (ICP-AES); M6/6; Meteor (1986); SL
    Type: Dataset
    Format: text/tab-separated-values, 61 data points
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  • 63
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    Content of different diatom species in sediment core GIK23400-3 (2000)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Keywords: Actinocyclus curvatulus; Actinocyclus ochotensis; Actinocyclus octonarius; Asteromphalus robustus; Aulacoseira granulata; Chaetoceros spores; Chaetoceros spp.; Coscinodiscus radiatus; Counting, diatoms; Delphineis sp.; DEPTH, sediment/rock; Diatoms; Diatoms, centrales indeterminata; Diatoms, pennales indeterminata; Giant box corer; GIK23400-3; GKG; Global Environmental Change: The Northern North Atlantic; Hemiaulus sp.; Hyalodiscus spp.; M17/1; Meteor (1986); Navicula spp.; Nitzschia spp.; Norwegian-Greenland Sea; Paralia sulcata; Porosira glacialis; Quaternary Environment of the Eurasian North; QUEEN; Rhizosolenia hebetata forma hiemalis; Rhizosolenia hebetata forma semispina; Rhizosolenia styliformis; SFB313; Stephanopyxis spp.; Thalassionema nitzschioides; Thalassiosira angulata; Thalassiosira anguste-lineata; Thalassiosira antarctica; Thalassiosira bioculata; Thalassiosira eccentrica; Thalassiosira gravida; Thalassiosira hyperborea; Thalassiosira latimarginata; Thalassiosira leptopus; Thalassiosira nordenskioeldii; Thalassiosira spores; Thalassiosira spp.; Thalassiothrix longissima
    Type: Dataset
    Format: text/tab-separated-values, 185 data points
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  • 64
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    Susceptibility raw data of sediment core PS2489-2 (2000)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Keywords: Agulhas Ridge; ANT-XI/2; AWI_Paleo; DEPTH, sediment/rock; KL; Multi-Sensor Core Logger, MS2C, 140 mm; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Piston corer (BGR type); Polarstern; PS2489-2; PS28; PS28/256; Susceptibility
    Type: Dataset
    Format: text/tab-separated-values, 1285 data points
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  • 65
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    Ice rafted debris (〉 2 mm gravel) distribution in sediment core PS2821-1 (2000)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-26
    Keywords: ANT-XIV/3; AWI_Paleo; DEPTH, sediment/rock; Ice rafted debris, number of gravel; IRD-Counting (Grobe, 1987); KL; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Piston corer (BGR type); Polarstern; PS2821-1; PS43; PS43/057; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 1654 data points
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  • 66
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    Biogenic opal of sediment core GeoB1008-3 (2004)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Keywords: Angola Basin; DEPTH, sediment/rock; GeoB; GeoB1008-3; Geosciences, University of Bremen; Gravity corer (Kiel type); M6/6; Meteor (1986); Opal, auto analysis (Müller & Schneider, 1993); Opal, biogenic silica; SFB261; Silicon Cycling in the World Ocean; SINOPS; SL; South Atlantic in Late Quaternary: Reconstruction of Budget and Currents
    Type: Dataset
    Format: text/tab-separated-values, 241 data points
    Location Call Number Expected Availability
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  • 67
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    Sea surface temperatures calculated for the last glacial maximum from planktonic foraminifera in sediment cores from the South Atlantic (2004)
    PANGAEA
    In:  Department of Geosciences, Bremen University
    Details
    Publication Date: 2024-06-26
    Keywords: 06MT15_2; 06MT41_3; Amazon Fan; Angola Basin; Argentine Basin; Brazil Basin; Cardno Seamount; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; East Brazil Basin; Eastern Rio Grande Rise; Elevation of event; Equatorial Atlantic; Event label; GeoB; GeoB1008-3; GeoB1016-3; GeoB1031-4; GeoB1034-3; GeoB1041-3; GeoB1101-5; GeoB1105-4; GeoB1112-4; GeoB1115-4; GeoB1117-2; GeoB1309-2; GeoB1312-2; GeoB1408-2; GeoB1413-4; GeoB1417-1; GeoB1419-2; GeoB1501-4; GeoB1503-1; GeoB1505-1; GeoB1515-1; GeoB1523-1; GeoB1701-4; GeoB1903-3; GeoB1905-3; GeoB2016-1; GeoB2019-1; GeoB2021-5; GeoB2109-1; GeoB2117-1; GeoB2125-1; GeoB2202-4; GeoB2204-2; GeoB2819-1; GeoB3104-1; GeoB3117-1; GeoB3175-1; GeoB3176-1; GeoB3801-6; GeoB3808-6; GeoB3813-3; GeoB5112-5; GeoB5115-2; GeoB5121-2; GeoB5133-3; GeoB5140-3; Geosciences, University of Bremen; Giant box corer; GKG; Gravity corer (Kiel type); Guinea Basin; JOPSII-6; KOL; LATITUDE; LONGITUDE; M15/2; M16/1; M16/2; M20/2; M23/1; M23/2; M23/3; M29/2; M34/3; M41/3; M6/6; M9/4; Meteor (1986); Mid Atlantic Ridge; MUC; MultiCorer; NE-Brazilian continental margin; Niger Sediment Fan; Piston corer (Kiel type); Rio Grande Rise; Sea surface temperature, annual mean; Sea surface temperature, January-March; Sea surface temperature, July-September; SL; SO84; Sonne; Southwest Walvis Ridge; ST. HELENA HOTSPOT; Transfer function F271-24-5 (Niebler et al., 1999, in Fischer & Wefer, Springer); Victor Hensen; Walvis Ridge, Southeast Atlantic Ocean; West Angola Basin
    Type: Dataset
    Format: text/tab-separated-values, 225 data points
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  • 68
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    Silt fraction analysis of sediment core PS1170-3 (2000)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-26
    Keywords: ANT-II/3; AWI_Paleo; DEPTH, sediment/rock; Grain size, SEDIGRAPH 5000; Gravity corer (Kiel type); Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS04; PS04/257; PS1170-3; Size fraction 10.309-9.618 µm, 6.6-6.7 phi; Size fraction 11.049-10.309 µm, 6.5-6.6 phi; Size fraction 11.842-11.049 µm, 6.4-6.5 phi; Size fraction 12.691-11.842 µm, 6.3-6.4 phi; Size fraction 13.602-12.691 µm, 6.2-6.3 phi; Size fraction 14.579-13.602 µm, 6.1-6.2 phi; Size fraction 15.625-14.579 µm, 6.0-6.1 phi; Size fraction 16.746-15.625 µm, 5.9-6.0 phi; Size fraction 17.948-16.746 µm, 5.8-5.9 phi; Size fraction 19.237-17.948 µm, 5.7-5.8 phi; Size fraction 2.093-1.953 µm, 8.9-9.0 phi; Size fraction 2.244-2.093 µm, 8.8-8.9 phi; Size fraction 2.405-2.244 µm, 8.7-8.8 phi; Size fraction 2.577-2.405 µm, 8.6-8.7 phi; Size fraction 2.762-2.577 µm, 8.5-8.6 phi; Size fraction 2.960-2.762 µm, 8.4-8.5 phi; Size fraction 20.617-19.237 µm, 5.6-5.7 phi; Size fraction 22.097-20.617 µm, 5.5-5.6 phi; Size fraction 23.683-22.097 µm, 5.4-5.5 phi; Size fraction 25.383-23.683 µm, 5.3-5.4 phi; Size fraction 27.205-25.383 µm, 5.2-5.3 phi; Size fraction 29.157-27.205 µm, 5.1-5.2 phi; Size fraction 3.173-2.960 µm, 8.3-8.4 phi; Size fraction 3.401-3.173 µm, 8.2-8.3 phi; Size fraction 3.645-3.401 µm, 8.1-8.2 phi; Size fraction 3.906-3.645 µm, 8.0-8.1 phi; Size fraction 31.250-29.157 µm, 5.0-5.1 phi; Size fraction 33.493-31.250 µm, 4.9-5.0 phi; Size fraction 35.897-33.493 µm, 4.8-4.9 phi; Size fraction 38.473-35.897 µm, 4.7-4.8 phi; Size fraction 4.187-3.906 µm, 7.9-8.0 phi; Size fraction 4.487-4.187 µm, 7.8-7.9 phi; Size fraction 4.809-4.487 µm, 7.7-7.8 phi; Size fraction 41.235-38.473 µm, 4.6-4.7 phi; Size fraction 44.194-41.235 µm, 4.5-4.6 phi; Size fraction 47.366-44.194 µm, 4.4-4.5 phi; Size fraction 5.154-4.809 µm, 7.6-7.7 phi; Size fraction 5.524-5.154 µm, 7.5-7.6 phi; Size fraction 5.921-5.524 µm, 7.4-7.5 phi; Size fraction 50.766-47.366 µm, 4.3-4.4 phi; Size fraction 54.409-50.766 µm, 4.2-4.3 phi; Size fraction 58.315-54.409 µm, 4.1-4.2 phi; Size fraction 6.346-5.921 µm, 7.3-7.4 phi; Size fraction 6.801-6.346 µm, 7.2-7.3 phi; Size fraction 62.500-58.315 µm, 4.0-4.1 phi; Size fraction 7.289-6.801 µm, 7.1-7.2 phi; Size fraction 7.813-7.289 µm, 7.0-7.1 phi; Size fraction 8.373-7.813 µm, 6.9-7.0 phi; Size fraction 8.974-8.373 µm, 6.8-6.9 phi; Size fraction 9.618-8.974 µm, 6.7-6.8 phi; SL; South Atlantic Ocean
    Type: Dataset
    Format: text/tab-separated-values, 9150 data points
    Location Call Number Expected Availability
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  • 69
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    Silt fraction analysis of sediment core PS1368-1 (2000)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-26
    Keywords: ANT-IV/3; AWI_Paleo; Camp Norway; DEPTH, sediment/rock; Giant box corer; GKG; Grain size, SEDIGRAPH 5000; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS08; PS08/335; PS1368-1; Size fraction 10.309-9.618 µm, 6.6-6.7 phi; Size fraction 11.049-10.309 µm, 6.5-6.6 phi; Size fraction 11.842-11.049 µm, 6.4-6.5 phi; Size fraction 12.691-11.842 µm, 6.3-6.4 phi; Size fraction 13.602-12.691 µm, 6.2-6.3 phi; Size fraction 14.579-13.602 µm, 6.1-6.2 phi; Size fraction 15.625-14.579 µm, 6.0-6.1 phi; Size fraction 16.746-15.625 µm, 5.9-6.0 phi; Size fraction 17.948-16.746 µm, 5.8-5.9 phi; Size fraction 19.237-17.948 µm, 5.7-5.8 phi; Size fraction 2.093-1.953 µm, 8.9-9.0 phi; Size fraction 2.244-2.093 µm, 8.8-8.9 phi; Size fraction 2.405-2.244 µm, 8.7-8.8 phi; Size fraction 2.577-2.405 µm, 8.6-8.7 phi; Size fraction 2.762-2.577 µm, 8.5-8.6 phi; Size fraction 2.960-2.762 µm, 8.4-8.5 phi; Size fraction 20.617-19.237 µm, 5.6-5.7 phi; Size fraction 22.097-20.617 µm, 5.5-5.6 phi; Size fraction 23.683-22.097 µm, 5.4-5.5 phi; Size fraction 25.383-23.683 µm, 5.3-5.4 phi; Size fraction 27.205-25.383 µm, 5.2-5.3 phi; Size fraction 29.157-27.205 µm, 5.1-5.2 phi; Size fraction 3.173-2.960 µm, 8.3-8.4 phi; Size fraction 3.401-3.173 µm, 8.2-8.3 phi; Size fraction 3.645-3.401 µm, 8.1-8.2 phi; Size fraction 3.906-3.645 µm, 8.0-8.1 phi; Size fraction 31.250-29.157 µm, 5.0-5.1 phi; Size fraction 33.493-31.250 µm, 4.9-5.0 phi; Size fraction 35.897-33.493 µm, 4.8-4.9 phi; Size fraction 38.473-35.897 µm, 4.7-4.8 phi; Size fraction 4.187-3.906 µm, 7.9-8.0 phi; Size fraction 4.487-4.187 µm, 7.8-7.9 phi; Size fraction 4.809-4.487 µm, 7.7-7.8 phi; Size fraction 41.235-38.473 µm, 4.6-4.7 phi; Size fraction 44.194-41.235 µm, 4.5-4.6 phi; Size fraction 47.366-44.194 µm, 4.4-4.5 phi; Size fraction 5.154-4.809 µm, 7.6-7.7 phi; Size fraction 5.524-5.154 µm, 7.5-7.6 phi; Size fraction 5.921-5.524 µm, 7.4-7.5 phi; Size fraction 50.766-47.366 µm, 4.3-4.4 phi; Size fraction 54.409-50.766 µm, 4.2-4.3 phi; Size fraction 58.315-54.409 µm, 4.1-4.2 phi; Size fraction 6.346-5.921 µm, 7.3-7.4 phi; Size fraction 6.801-6.346 µm, 7.2-7.3 phi; Size fraction 62.500-58.315 µm, 4.0-4.1 phi; Size fraction 7.289-6.801 µm, 7.1-7.2 phi; Size fraction 7.813-7.289 µm, 7.0-7.1 phi; Size fraction 8.373-7.813 µm, 6.9-7.0 phi; Size fraction 8.974-8.373 µm, 6.8-6.9 phi; Size fraction 9.618-8.974 µm, 6.7-6.8 phi
    Type: Dataset
    Format: text/tab-separated-values, 400 data points
    Location Call Number Expected Availability
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  • 70
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    Unknown
    Silt fraction analysis of sediment core PS1172-1 (2000)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-26
    Keywords: ANT-II/3; AWI_Paleo; DEPTH, sediment/rock; Grain size, SEDIGRAPH 5000; Gravity corer (Kiel type); Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS04; PS04/259; PS1172-1; Size fraction 10.309-9.618 µm, 6.6-6.7 phi; Size fraction 11.049-10.309 µm, 6.5-6.6 phi; Size fraction 11.842-11.049 µm, 6.4-6.5 phi; Size fraction 12.691-11.842 µm, 6.3-6.4 phi; Size fraction 13.602-12.691 µm, 6.2-6.3 phi; Size fraction 14.579-13.602 µm, 6.1-6.2 phi; Size fraction 15.625-14.579 µm, 6.0-6.1 phi; Size fraction 16.746-15.625 µm, 5.9-6.0 phi; Size fraction 17.948-16.746 µm, 5.8-5.9 phi; Size fraction 19.237-17.948 µm, 5.7-5.8 phi; Size fraction 2.093-1.953 µm, 8.9-9.0 phi; Size fraction 2.244-2.093 µm, 8.8-8.9 phi; Size fraction 2.405-2.244 µm, 8.7-8.8 phi; Size fraction 2.577-2.405 µm, 8.6-8.7 phi; Size fraction 2.762-2.577 µm, 8.5-8.6 phi; Size fraction 2.960-2.762 µm, 8.4-8.5 phi; Size fraction 20.617-19.237 µm, 5.6-5.7 phi; Size fraction 22.097-20.617 µm, 5.5-5.6 phi; Size fraction 23.683-22.097 µm, 5.4-5.5 phi; Size fraction 25.383-23.683 µm, 5.3-5.4 phi; Size fraction 27.205-25.383 µm, 5.2-5.3 phi; Size fraction 29.157-27.205 µm, 5.1-5.2 phi; Size fraction 3.173-2.960 µm, 8.3-8.4 phi; Size fraction 3.401-3.173 µm, 8.2-8.3 phi; Size fraction 3.645-3.401 µm, 8.1-8.2 phi; Size fraction 3.906-3.645 µm, 8.0-8.1 phi; Size fraction 31.250-29.157 µm, 5.0-5.1 phi; Size fraction 33.493-31.250 µm, 4.9-5.0 phi; Size fraction 35.897-33.493 µm, 4.8-4.9 phi; Size fraction 38.473-35.897 µm, 4.7-4.8 phi; Size fraction 4.187-3.906 µm, 7.9-8.0 phi; Size fraction 4.487-4.187 µm, 7.8-7.9 phi; Size fraction 4.809-4.487 µm, 7.7-7.8 phi; Size fraction 41.235-38.473 µm, 4.6-4.7 phi; Size fraction 44.194-41.235 µm, 4.5-4.6 phi; Size fraction 47.366-44.194 µm, 4.4-4.5 phi; Size fraction 5.154-4.809 µm, 7.6-7.7 phi; Size fraction 5.524-5.154 µm, 7.5-7.6 phi; Size fraction 5.921-5.524 µm, 7.4-7.5 phi; Size fraction 50.766-47.366 µm, 4.3-4.4 phi; Size fraction 54.409-50.766 µm, 4.2-4.3 phi; Size fraction 58.315-54.409 µm, 4.1-4.2 phi; Size fraction 6.346-5.921 µm, 7.3-7.4 phi; Size fraction 6.801-6.346 µm, 7.2-7.3 phi; Size fraction 62.500-58.315 µm, 4.0-4.1 phi; Size fraction 7.289-6.801 µm, 7.1-7.2 phi; Size fraction 7.813-7.289 µm, 7.0-7.1 phi; Size fraction 8.373-7.813 µm, 6.9-7.0 phi; Size fraction 8.974-8.373 µm, 6.8-6.9 phi; Size fraction 9.618-8.974 µm, 6.7-6.8 phi; SL; South Atlantic Ocean
    Type: Dataset
    Format: text/tab-separated-values, 7450 data points
    Location Call Number Expected Availability
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  • 71
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    Silt fraction analysis of sediment core PS1368-3 (2000)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-26
    Keywords: ANT-IV/3; AWI_Paleo; Camp Norway; DEPTH, sediment/rock; Grain size, SEDIGRAPH 5000; Gravity corer (Kiel type); Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS08; PS08/335; PS1368-3; Size fraction 10.309-9.618 µm, 6.6-6.7 phi; Size fraction 11.049-10.309 µm, 6.5-6.6 phi; Size fraction 11.842-11.049 µm, 6.4-6.5 phi; Size fraction 12.691-11.842 µm, 6.3-6.4 phi; Size fraction 13.602-12.691 µm, 6.2-6.3 phi; Size fraction 14.579-13.602 µm, 6.1-6.2 phi; Size fraction 15.625-14.579 µm, 6.0-6.1 phi; Size fraction 16.746-15.625 µm, 5.9-6.0 phi; Size fraction 17.948-16.746 µm, 5.8-5.9 phi; Size fraction 19.237-17.948 µm, 5.7-5.8 phi; Size fraction 2.093-1.953 µm, 8.9-9.0 phi; Size fraction 2.244-2.093 µm, 8.8-8.9 phi; Size fraction 2.405-2.244 µm, 8.7-8.8 phi; Size fraction 2.577-2.405 µm, 8.6-8.7 phi; Size fraction 2.762-2.577 µm, 8.5-8.6 phi; Size fraction 2.960-2.762 µm, 8.4-8.5 phi; Size fraction 20.617-19.237 µm, 5.6-5.7 phi; Size fraction 22.097-20.617 µm, 5.5-5.6 phi; Size fraction 23.683-22.097 µm, 5.4-5.5 phi; Size fraction 25.383-23.683 µm, 5.3-5.4 phi; Size fraction 27.205-25.383 µm, 5.2-5.3 phi; Size fraction 29.157-27.205 µm, 5.1-5.2 phi; Size fraction 3.173-2.960 µm, 8.3-8.4 phi; Size fraction 3.401-3.173 µm, 8.2-8.3 phi; Size fraction 3.645-3.401 µm, 8.1-8.2 phi; Size fraction 3.906-3.645 µm, 8.0-8.1 phi; Size fraction 31.250-29.157 µm, 5.0-5.1 phi; Size fraction 33.493-31.250 µm, 4.9-5.0 phi; Size fraction 35.897-33.493 µm, 4.8-4.9 phi; Size fraction 38.473-35.897 µm, 4.7-4.8 phi; Size fraction 4.187-3.906 µm, 7.9-8.0 phi; Size fraction 4.487-4.187 µm, 7.8-7.9 phi; Size fraction 4.809-4.487 µm, 7.7-7.8 phi; Size fraction 41.235-38.473 µm, 4.6-4.7 phi; Size fraction 44.194-41.235 µm, 4.5-4.6 phi; Size fraction 47.366-44.194 µm, 4.4-4.5 phi; Size fraction 5.154-4.809 µm, 7.6-7.7 phi; Size fraction 5.524-5.154 µm, 7.5-7.6 phi; Size fraction 5.921-5.524 µm, 7.4-7.5 phi; Size fraction 50.766-47.366 µm, 4.3-4.4 phi; Size fraction 54.409-50.766 µm, 4.2-4.3 phi; Size fraction 58.315-54.409 µm, 4.1-4.2 phi; Size fraction 6.346-5.921 µm, 7.3-7.4 phi; Size fraction 6.801-6.346 µm, 7.2-7.3 phi; Size fraction 62.500-58.315 µm, 4.0-4.1 phi; Size fraction 7.289-6.801 µm, 7.1-7.2 phi; Size fraction 7.813-7.289 µm, 7.0-7.1 phi; Size fraction 8.373-7.813 µm, 6.9-7.0 phi; Size fraction 8.974-8.373 µm, 6.8-6.9 phi; Size fraction 9.618-8.974 µm, 6.7-6.8 phi; SL
    Type: Dataset
    Format: text/tab-separated-values, 3150 data points
    Location Call Number Expected Availability
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  • 72
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    Unknown
    Geochemistry of sediment core GeoB2910-1 (2000)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Keywords: Aluminium; Barium; Barium, biogenic; Barium/Aluminium ratio; Calculated; DEPTH, sediment/rock; GeoB; GeoB2910-1; Geosciences, University of Bremen; Gravity corer (Kiel type); HF/HNO3/H2O2 pressure digestion; M29/3; Meteor (1986); SFB261; Sierra Leone Rise; SL; South Atlantic in Late Quaternary: Reconstruction of Budget and Currents
    Type: Dataset
    Format: text/tab-separated-values, 696 data points
    Location Call Number Expected Availability
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  • 73
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    Unknown
    tab2 (2000)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Keywords: Arctic Ocean; ARK-IV/3; Calcium carbonate; Calculated; Carbon, organic, total; Coarse fraction/modal analysis; DEPTH, sediment/rock; Dissolution index; Element analyser CHN; Elevation of event; Event label; Foraminifera, benthic; Foraminifera, benthic agglutinated; Foraminifera, benthic calcareous marine; Foraminifera, planktic; Foraminifera, planktic indeterminata; GEOMAR; Giant box corer; GIK21516-5 PS11/282-5; GIK21517-9 PS11/285; GIK21518-13 PS11/287-13; GIK21520-9 PS11/310-9; GIK21521-13 PS11/340-13; GIK21522-18 PS11/358-18; GIK21523-14 PS11/362-14; GIK21524-1 PS11/364-1; GIK21525-2 PS11/365-2; GIK21526-12 PS11/370-12; GIK21527-10 PS11/371-10; GIK21528-7 PS11/372-7; GIK21529-7 PS11/376-7; GIK21532-1 PS11/396-1; GIK21534-6 PS11/423-6; GKG; Grain size, sieving; Gravity corer (Kiel type); Helmholtz Centre for Ocean Research Kiel; Latitude of event; Longitude of event; Mica; Nansen Basin; Polarstern; PS11; PS1516-5; PS1517-9; PS1518-13; PS1520-9; PS1521-13; PS1522-18; PS1523-14; PS1524-1; PS1525-2; PS1526-12; PS1527-10; PS1528-7; PS1529-7; PS1532-1; PS1534-6; Quartz; Quaternary Environment of the Eurasian North; QUEEN; Rock fragments; Size fraction 〉 0.063 mm, sand; SL; Sponge spiculae; Svalbard; Yermak Plateau
    Type: Dataset
    Format: text/tab-separated-values, 187 data points
    Location Call Number Expected Availability
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  • 74
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    Unknown
    Geochemistry of sediment core GeoB2910-1 (2000)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Keywords: Ascorbate extraction (Ferdelman, 1988, Master Thesis, University Delaware); Calcium carbonate; Calculated; DEPTH, sediment/rock; Dithionite extraction (Lord, 1980, PhD Thesis Univ Delaware); GeoB; GeoB2910-1; Geosciences, University of Bremen; Gravity corer (Kiel type); HF/HClO4/HNO3 digestion; Inductively coupled plasma atomic emission spectroscope (ICP-AES); Iron; Iron/Titanium ratio; M29/3; Manganese; Manganese/Titanium ratio; Meteor (1986); SFB261; Sierra Leone Rise; SL; South Atlantic in Late Quaternary: Reconstruction of Budget and Currents
    Type: Dataset
    Format: text/tab-separated-values, 690 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 75
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    Unknown
    Physical properties of sediment core PS56/212-1 (2000)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Keywords: ANT-XVII/4; AWI_Paleo; Calculated from density; Calculated from Vp and wet bulk density; Density, wet bulk; DEPTH, sediment/rock; Impedance, specific; KL; Magnetic susceptibility, volume; Multi-Sensor Core Logger/colorscan/scion image; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Piston corer (BGR type); Polarstern; Porosity; PS56; PS56/212-1; South Atlantic; Susceptibility unit, AWI, 140 mm [cor. factor 14.584]; Velocity, compressional, amplitude; Velocity, compressional wave
    Type: Dataset
    Format: text/tab-separated-values, 8642 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 76
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    Unknown
    Physical properties of sediment core PS56/214-1 (2000)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Keywords: ANT-XVII/4; AWI_Paleo; Calculated from density; Calculated from Vp and wet bulk density; Density, wet bulk; DEPTH, sediment/rock; Impedance, specific; KL; Magnetic susceptibility, volume; Multi-Sensor Core Logger/colorscan/scion image; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Piston corer (BGR type); Polarstern; Porosity; PS56; PS56/214-1; South Atlantic; Susceptibility unit, AWI, 140 mm [cor. factor 14.584]; Velocity, compressional, amplitude; Velocity, compressional wave
    Type: Dataset
    Format: text/tab-separated-values, 10502 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 77
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    Unknown
    Susceptibility of sediment core PS1778-5 (2000)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Keywords: ANT-VIII/3; Atlantic Ridge; AWI_Paleo; DEPTH, sediment/rock; Gravity corer (Kiel type); Magnetic susceptibility, volume; Multi-Sensor Core Logger, MSF-point sensor; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS16; PS16/345; PS1778-5; SL
    Type: Dataset
    Format: text/tab-separated-values, 1257 data points
    Location Call Number Expected Availability
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  • 78
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    Unknown
    Susceptibility of sediment core PS2489-2 (2000)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Keywords: Agulhas Ridge; ANT-XI/2; AWI_Paleo; DEPTH, sediment/rock; KL; Magnetic susceptibility, volume; Multi-Sensor Core Logger, MSF-point sensor; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Piston corer (BGR type); Polarstern; PS2489-2; PS28; PS28/256
    Type: Dataset
    Format: text/tab-separated-values, 1271 data points
    Location Call Number Expected Availability
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  • 79
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    Unknown
    LGM, planktic foraminifera (EPILOG version) (2000)
    PANGAEA
    In:  Supplement to: Niebler, Hans-Stefan; Arz, Helge Wolfgang; Donner, Barbara; Mulitza, Stefan; Pätzold, Jürgen; Wefer, Gerold (2003): Sea surface temperatures in the equatorial and South Atlantic Ocean during the Last Glacial Maximum (23–19 ka). Paleoceanography, 18(3), 1069, https://doi.org/10.1029/2003PA000902
    Details
    Publication Date: 2024-06-26
    Description: [1] We used planktic foraminiferal assemblages in 70 sediment cores from the tropical and subtropical South Atlantic Ocean (10°N–37°S) to estimate annual mean sea surface temperatures (SSTs) and seasonality for the Last Glacial Maximum with a modified version of the Imbrie-Kipp transfer function method (IKTF) that takes into account the abundance of rare but temperature sensitive species. In contrast to CLIMAP Project Members [1981], the reconstructed SSTs indicate cooler glacial SSTs in the entire tropical/subtropical South Atlantic with strongest cooling in the upwelling region off Namibia (7–10°C) and smallest cooling (1–2°C) in the western subtropical gyre. In the western Atlantic, our data support recent temperature estimates from other proxies. In the upwelling regions in the eastern Atlantic, our data conflict with SST reconstructions from alkenones, which may be due to an environmental preference of the alkenone-producing algae or to an underestimation of foraminiferal SSTs due to anomalous high abundances of N. pachyderma (sinistral).
    Keywords: 06MT15_2; 06MT41_3; Amazon Fan; Angola Basin; Argentine Basin; Brazil Basin; Candeina nitida; Cape Basin; Counting 〉150 µm fraction; Dentagloborotalia anfracta; DEPTH, sediment/rock; East Brazil Basin; Eastern Rio Grande Rise; Elevation of event; Equatorial Atlantic; Event label; Foraminifera, planktic; GeoB; GeoB1008-3; GeoB1016-3; GeoB1028-5; GeoB1031-4; GeoB1032-3; GeoB1034-3; GeoB1041-3; GeoB1101-5; GeoB1105-4; GeoB1112-4; GeoB1115-4; GeoB1117-2; GeoB1214-1; GeoB1220-1; GeoB1306-1; GeoB1309-2; GeoB1312-2; GeoB1413-4; GeoB1417-1; GeoB1419-2; GeoB1501-4; GeoB1503-1; GeoB1505-1; GeoB1508-4; GeoB1515-1; GeoB1523-1; GeoB1701-4; GeoB1706-2; GeoB1711; GeoB1711-4; GeoB1722-1; GeoB1903-3; GeoB1905-3; GeoB2004-2; GeoB2016-1; GeoB2019-1; GeoB2021-5; GeoB2109-1; GeoB2116-4; GeoB2117-1; GeoB2125-1; GeoB2202-4; GeoB2204-2; GeoB2215-10; GeoB2819-1; GeoB3104-1; GeoB3117-1; GeoB3175-1; GeoB3176-1; GeoB3603-2; GeoB3722-2; GeoB3801-6; GeoB3808-6; GeoB3813-3; GeoB5112-5; GeoB5115-2; GeoB5121-2; GeoB5133-3; GeoB5140-3; Geosciences, University of Bremen; Giant box corer; GKG; Globigerina bulloides; Globigerina calida; Globigerina digitata; Globigerina falconensis; Globigerina quinqueloba; Globigerinella aequilateralis; Globigerinita bradyi; Globigerinita glutinata; Globigerinoides conglobatus; Globigerinoides ruber highspired; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides sacculifer sac; Globigerinoides sacculifer wo sac; Globigerinoides tenellus; Globoquadrina conglomerata; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia menardii flexuosa; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides dextral; Globorotalia truncatulinoides sinistral; Globorotalia tumida; Globorotaloides hexagonus; Globoturborotalita rubescens pink; Globoturborotalita rubescens white; Gravity corer (Kiel type); Guinea Basin; Hastigerina pelagica; Hunter Channel; JOPSII-6; KOL; LATITUDE; LONGITUDE; M12/1; M15/2; M16/1; M16/2; M20/2; M23/1; M23/2; M23/3; M29/2; M34/1; M34/2; M34/3; M41/3; M6/6; M9/4; Meteor (1986); Mid Atlantic Ridge; MUC; MultiCorer; Namibia continental slope; NE-Brazilian continental margin; Neogloboquadrina dutertrei; Neogloboquadrina pachyderma dextral; Neogloboquadrina pachyderma dextral and dutertrei integrade; Neogloboquadrina pachyderma sinistral; Niger Sediment Fan; Northern Cape Basin; Orbulina universa; Piston corer (Kiel type); Pulleniatina obliquiloculata; Rio Grande Rise; SL; SO84; Sonne; South African margin; Southern Cape Basin; Southwest Walvis Ridge; Sphaeroidinella dehiscens; ST. HELENA HOTSPOT; Tenuitella iota; Turborotalita humilis; Victor Hensen; Walvis Ridge; Walvis Ridge, Southeast Atlantic Ocean; West Angola Basin
    Type: Dataset
    Format: text/tab-separated-values, 6559 data points
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  • 80
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    Silt fraction analysis of sediment core PS1384-1 (2000)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-26
    Keywords: ANT-IV/3; Atka Bay; AWI_Paleo; DEPTH, sediment/rock; Giant box corer; GKG; Grain size, SEDIGRAPH 5000; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS08; PS08/360; PS1384-1; Size fraction 10.309-9.618 µm, 6.6-6.7 phi; Size fraction 11.049-10.309 µm, 6.5-6.6 phi; Size fraction 11.842-11.049 µm, 6.4-6.5 phi; Size fraction 12.691-11.842 µm, 6.3-6.4 phi; Size fraction 13.602-12.691 µm, 6.2-6.3 phi; Size fraction 14.579-13.602 µm, 6.1-6.2 phi; Size fraction 15.625-14.579 µm, 6.0-6.1 phi; Size fraction 16.746-15.625 µm, 5.9-6.0 phi; Size fraction 17.948-16.746 µm, 5.8-5.9 phi; Size fraction 19.237-17.948 µm, 5.7-5.8 phi; Size fraction 2.093-1.953 µm, 8.9-9.0 phi; Size fraction 2.244-2.093 µm, 8.8-8.9 phi; Size fraction 2.405-2.244 µm, 8.7-8.8 phi; Size fraction 2.577-2.405 µm, 8.6-8.7 phi; Size fraction 2.762-2.577 µm, 8.5-8.6 phi; Size fraction 2.960-2.762 µm, 8.4-8.5 phi; Size fraction 20.617-19.237 µm, 5.6-5.7 phi; Size fraction 22.097-20.617 µm, 5.5-5.6 phi; Size fraction 23.683-22.097 µm, 5.4-5.5 phi; Size fraction 25.383-23.683 µm, 5.3-5.4 phi; Size fraction 27.205-25.383 µm, 5.2-5.3 phi; Size fraction 29.157-27.205 µm, 5.1-5.2 phi; Size fraction 3.173-2.960 µm, 8.3-8.4 phi; Size fraction 3.401-3.173 µm, 8.2-8.3 phi; Size fraction 3.645-3.401 µm, 8.1-8.2 phi; Size fraction 3.906-3.645 µm, 8.0-8.1 phi; Size fraction 31.250-29.157 µm, 5.0-5.1 phi; Size fraction 33.493-31.250 µm, 4.9-5.0 phi; Size fraction 35.897-33.493 µm, 4.8-4.9 phi; Size fraction 38.473-35.897 µm, 4.7-4.8 phi; Size fraction 4.187-3.906 µm, 7.9-8.0 phi; Size fraction 4.487-4.187 µm, 7.8-7.9 phi; Size fraction 4.809-4.487 µm, 7.7-7.8 phi; Size fraction 41.235-38.473 µm, 4.6-4.7 phi; Size fraction 44.194-41.235 µm, 4.5-4.6 phi; Size fraction 47.366-44.194 µm, 4.4-4.5 phi; Size fraction 5.154-4.809 µm, 7.6-7.7 phi; Size fraction 5.524-5.154 µm, 7.5-7.6 phi; Size fraction 5.921-5.524 µm, 7.4-7.5 phi; Size fraction 50.766-47.366 µm, 4.3-4.4 phi; Size fraction 54.409-50.766 µm, 4.2-4.3 phi; Size fraction 58.315-54.409 µm, 4.1-4.2 phi; Size fraction 6.346-5.921 µm, 7.3-7.4 phi; Size fraction 6.801-6.346 µm, 7.2-7.3 phi; Size fraction 62.500-58.315 µm, 4.0-4.1 phi; Size fraction 7.289-6.801 µm, 7.1-7.2 phi; Size fraction 7.813-7.289 µm, 7.0-7.1 phi; Size fraction 8.373-7.813 µm, 6.9-7.0 phi; Size fraction 8.974-8.373 µm, 6.8-6.9 phi; Size fraction 9.618-8.974 µm, 6.7-6.8 phi
    Type: Dataset
    Format: text/tab-separated-values, 200 data points
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  • 81
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    Station list of METEOR cruise M44/4 (2002)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Keywords: CT; GeoB; Geosciences, University of Bremen; M44/4; M44/4-track; Meteor (1986); Red Sea/Golf of Aden; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 22.6 kBytes
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  • 82
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    Ice rafted debris (〉 2 mm gravel) distribution in sediment core PS1918-2 (2002)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-26
    Keywords: ARK-VII/3b; AWI_Paleo; DEPTH, sediment/rock; Giant box corer; GKG; Greenland Slope; Ice rafted debris, number of gravel; IRD-Counting (Grobe, 1987); Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS17; PS17/241; PS1918-2; Quaternary Environment of the Eurasian North; QUEEN
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 83
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    Ice rafted debris (〉 2 mm gravel) distribution in sediment core PS2553-3 (2002)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-26
    Keywords: ANT-XI/3; AWI_Paleo; Bellingshausen Sea; DEPTH, sediment/rock; Gravity corer (Kiel type); Ice rafted debris, number of gravel; IRD-Counting (Grobe, 1987); Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS2553-3; PS29; PS29/070; SL
    Type: Dataset
    Format: text/tab-separated-values, 997 data points
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  • 84
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    Ice rafted debris (〉 2 mm gravel) distribution in sediment core PS1436-1 (2002)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-26
    Keywords: ANT-IV/4; Argentine Islands; AWI_Paleo; DEPTH, sediment/rock; Giant box corer; GKG; Ice rafted debris, number of gravel; IRD-Counting (Grobe, 1987); Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS08; PS08/509; PS1436-1
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 85
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    Ice rafted debris (〉 2 mm gravel) distribution in sediment core PS2533-1 (2002)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-26
    Keywords: ANT-XI/3; AWI_Paleo; Bellingshausen Sea; DEPTH, sediment/rock; Giant box corer; GKG; Ice rafted debris, number of gravel; IRD-Counting (Grobe, 1987); Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS2533-1; PS29; PS29/040
    Type: Dataset
    Format: text/tab-separated-values, 43 data points
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  • 86
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    Ice rafted debris (〉 2 mm gravel) distribution in sediment core PS2489-2 (2002)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-26
    Keywords: Agulhas Ridge; ANT-XI/2; AWI_Paleo; DEPTH, sediment/rock; Ice rafted debris, number of gravel; IRD-Counting (Grobe, 1987); KL; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Piston corer (BGR type); Polarstern; PS2489-2; PS28; PS28/256
    Type: Dataset
    Format: text/tab-separated-values, 1284 data points
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  • 87
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    Biomass of microzooplankton measured on water bottle samples during POLARSTERN cruise ANT-X/6 (2002)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Keywords: ANT-X/6; Ciliates, biomass as carbon; Ciliates, heterotrophic, biomass as carbon; Ciliates, loricate, biomass as carbon; Ciliates indeterminata, biomass as carbon; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Diatoms, biomass as carbon; Dinoflagellates, biomass as carbon; Elevation of event; Epifluorescence microscopy; Event label; Foraminifera, biomass as carbon; Global Environmental Change: The Northern North Atlantic; Latitude of event; Longitude of event; Phytoplankton, biomass as carbon; Phytoplankton, other, biomass as carbon; Polarstern; Protozoa, biomass as carbon; PS22; PS22/870C2; PS22/877C1; PS22/886C1; PS22/886C2; PS22/891C1; PS22/897C1; PS22/903C1; PS22/909C1; PS22/915C1; PS22/918C1; PS22/930C1; PS22/945C1; PS22/949C1; PS22/953C1; PS22/960C1; PS22/969C1; Quantitative phytoplankton method (Utermöhl, 1958); Radiolarians, biomass as carbon; SFB313; South Atlantic Ocean; Strobilidium spp., biomass as carbon; Strombidium spp., biomass as carbon
    Type: Dataset
    Format: text/tab-separated-values, 1274 data points
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  • 88
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    Ice rafted debris (〉 2 mm gravel) distribution in sediment core PS2541-1 (2002)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-26
    Keywords: ANT-XI/3; AWI_Paleo; Bellingshausen Sea; DEPTH, sediment/rock; Gravity corer (Kiel type); Ice rafted debris, number of gravel; IRD-Counting (Grobe, 1987); Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS2541-1; PS29; PS29/049; SL
    Type: Dataset
    Format: text/tab-separated-values, 426 data points
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  • 89
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    Ice rafted debris (〉 2 mm gravel) distribution in sediment core PS2539-1 (2002)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-26
    Keywords: ANT-XI/3; AWI_Paleo; Bellingshausen Sea; DEPTH, sediment/rock; Gravity corer (Kiel type); Ice rafted debris, number of gravel; IRD-Counting (Grobe, 1987); Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS2539-1; PS29; PS29/047; SL
    Type: Dataset
    Format: text/tab-separated-values, 331 data points
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  • 90
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    Ice rafted debris (〉 2 mm gravel) distribution in sediment core PS2543-1 (2002)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-26
    Keywords: ANT-XI/3; AWI_Paleo; Bellingshausen Sea; DEPTH, sediment/rock; Gravity corer (Kiel type); Ice rafted debris, number of gravel; IRD-Counting (Grobe, 1987); Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS2543-1; PS29; PS29/051; SL
    Type: Dataset
    Format: text/tab-separated-values, 145 data points
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  • 91
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    Ice rafted debris (〉 2 mm gravel) distribution in sediment core PS2542-2 (2002)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-26
    Keywords: ANT-XI/3; AWI_Paleo; Bellingshausen Sea; DEPTH, sediment/rock; Gravity corer (Kiel type); Ice rafted debris, number of gravel; IRD-Counting (Grobe, 1987); Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS2542-2; PS29; PS29/050; SL
    Type: Dataset
    Format: text/tab-separated-values, 220 data points
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  • 92
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    Total foraminifera counts from multinet M31/2_MSN887 (2002)
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    Details
    Publication Date: 2024-06-26
    Keywords: Beella digitata; Berggrenia pumilio; Candeina nitida; Counting, foraminifera, planktic; Dentagloborotalia anfracta; Depth, bottom/max; Depth, top/min; DEPTH, water; Foraminifera, planktic indeterminata; GeoTü; Globigerina bulloides; Globigerina falconensis; Globigerinella adamsi; Globigerinella calida; Globigerinella siphonifera; Globigerinita glutinata; Globigerinita minuta; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber white; Globigerinoides sacculifer; Globoquadrina conglomerata; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides; Globorotalia tumida; Globorotaloides hexagonus; Globoturborotalita rubescens; Globoturborotalita tenella; Hastigerina digitata; Hastigerina pelagica; M31/2; M31/2_MSN887; Meteor (1986); MSN; Multiple opening/closing net; Neogloboquadrina dutertrei; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Orbulina universa; Paleoceanography at Tübingen University; Pulleniatina obliquiloculata; Sample comment; Tenuitella compressa; Tenuitella iota; Tenuitella parkerae; Turborotalita clarkei; Turborotalita humilis; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 1320 data points
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  • 93
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    Total foraminifera counts of multinet SO118_MSN1266 (2002)
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    Details
    Publication Date: 2024-06-26
    Keywords: 43; Arabian Sea; Beella digitata; Berggrenia pumilio; BIGSET-1; Candeina nitida; Counting, foraminifera, planktic; Dentagloborotalia anfracta; Depth, bottom/max; Depth, top/min; DEPTH, water; Foraminifera, planktic indeterminata; GeoTü; Globigerina bulloides; Globigerina falconensis; Globigerinella adamsi; Globigerinella calida; Globigerinella siphonifera; Globigerinita glutinata; Globigerinita minuta; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber white; Globigerinoides sacculifer; Globoquadrina conglomerata; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides; Globorotalia tumida; Globorotaloides hexagonus; Globoturborotalita rubescens; Globoturborotalita tenella; Hastigerina digitata; Hastigerina pelagica; MSN; Multiple opening/closing net; Neogloboquadrina dutertrei; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Orbulina universa; Paleoceanography at Tübingen University; Pulleniatina obliquiloculata; Sample comment; SO118; SO118_MSN1266; Sonne; Tenuitella compressa; Tenuitella iota; Tenuitella parkerae; Turborotalita clarkei; Turborotalita humilis; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 1056 data points
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  • 94
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    Total foraminifera counts from multinet SO119_MSN1282 (2002)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Keywords: Arabian Sea; Beella digitata; Berggrenia pumilio; Candeina nitida; Counting, foraminifera, planktic; Dentagloborotalia anfracta; Depth, bottom/max; Depth, top/min; DEPTH, water; Foraminifera, planktic indeterminata; GeoTü; Globigerina bulloides; Globigerina falconensis; Globigerinella adamsi; Globigerinella calida; Globigerinella siphonifera; Globigerinita glutinata; Globigerinita minuta; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber white; Globigerinoides sacculifer; Globoquadrina conglomerata; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides; Globorotalia tumida; Globorotaloides hexagonus; Globoturborotalita rubescens; Globoturborotalita tenella; Hastigerina digitata; Hastigerina pelagica; JGOFS-IN-2; MSN; Multiple opening/closing net; Neogloboquadrina dutertrei; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Orbulina universa; Paleoceanography at Tübingen University; Pulleniatina obliquiloculata; Sample comment; SO119; SO119_MSN1282; Sonne; Tenuitella compressa; Tenuitella iota; Tenuitella parkerae; Turborotalita clarkei; Turborotalita humilis; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 1056 data points
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  • 95
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    Total foraminifera counts of multinet SO118_MSN1267 (2002)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Keywords: 43; Arabian Sea; Beella digitata; Berggrenia pumilio; BIGSET-1; Candeina nitida; Counting, foraminifera, planktic; Dentagloborotalia anfracta; Depth, bottom/max; Depth, top/min; DEPTH, water; Foraminifera, planktic indeterminata; GeoTü; Globigerina bulloides; Globigerina falconensis; Globigerinella adamsi; Globigerinella calida; Globigerinella siphonifera; Globigerinita glutinata; Globigerinita minuta; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber white; Globigerinoides sacculifer; Globoquadrina conglomerata; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides; Globorotalia tumida; Globorotaloides hexagonus; Globoturborotalita rubescens; Globoturborotalita tenella; Hastigerina digitata; Hastigerina pelagica; MSN; Multiple opening/closing net; Neogloboquadrina dutertrei; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Orbulina universa; Paleoceanography at Tübingen University; Pulleniatina obliquiloculata; Sample comment; SO118; SO118_MSN1267; Sonne; Tenuitella compressa; Tenuitella iota; Tenuitella parkerae; Turborotalita clarkei; Turborotalita humilis; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 1056 data points
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  • 96
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    Total foraminifera counts from multinet SO119_MSN1278 (2002)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Keywords: Arabian Sea; Beella digitata; Berggrenia pumilio; Candeina nitida; Counting, foraminifera, planktic; Dentagloborotalia anfracta; Depth, bottom/max; Depth, top/min; DEPTH, water; Foraminifera, planktic indeterminata; GeoTü; Globigerina bulloides; Globigerina falconensis; Globigerinella adamsi; Globigerinella calida; Globigerinella siphonifera; Globigerinita glutinata; Globigerinita minuta; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber white; Globigerinoides sacculifer; Globoquadrina conglomerata; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides; Globorotalia tumida; Globorotaloides hexagonus; Globoturborotalita rubescens; Globoturborotalita tenella; Hastigerina digitata; Hastigerina pelagica; JGOFS-IN-2; MSN; Multiple opening/closing net; Neogloboquadrina dutertrei; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Orbulina universa; Paleoceanography at Tübingen University; Pulleniatina obliquiloculata; Sample comment; SO119; SO119_MSN1278; Sonne; Tenuitella compressa; Tenuitella iota; Tenuitella parkerae; Turborotalita clarkei; Turborotalita humilis; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 1100 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 97
    facet.materialart.
    Unknown
    Plasm bearing foraminifera counts from multinet M31/2_MSN894 (2002)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Keywords: Beella digitata; Berggrenia pumilio; Candeina nitida; Counting, foraminifera, live (Walton, 1952, Cushman Found Foram Res 3:56-60); Dentagloborotalia anfracta; Depth, bottom/max; Depth, top/min; DEPTH, water; Foraminifera, planktic indeterminata; GeoTü; Globigerina bulloides; Globigerina falconensis; Globigerinella adamsi; Globigerinella calida; Globigerinella siphonifera; Globigerinita glutinata; Globigerinita minuta; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber white; Globigerinoides sacculifer; Globoquadrina conglomerata; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides; Globorotalia tumida; Globorotaloides hexagonus; Globoturborotalita rubescens; Globoturborotalita tenella; Hastigerina digitata; Hastigerina pelagica; M31/2; M31/2_MSN894; Meteor (1986); MSN; Multiple opening/closing net; Neogloboquadrina dutertrei; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Orbulina universa; Paleoceanography at Tübingen University; Pulleniatina obliquiloculata; Sample comment; Tenuitella compressa; Tenuitella iota; Tenuitella parkerae; Turborotalita clarkei; Turborotalita humilis; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 1056 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 98
    facet.materialart.
    Unknown
    Total foraminifera counts from multinet M31/2_MSN895 (2002)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Keywords: Beella digitata; Berggrenia pumilio; Candeina nitida; Counting, foraminifera, planktic; Dentagloborotalia anfracta; Depth, bottom/max; Depth, top/min; DEPTH, water; Foraminifera, planktic indeterminata; GeoTü; Globigerina bulloides; Globigerina falconensis; Globigerinella adamsi; Globigerinella calida; Globigerinella siphonifera; Globigerinita glutinata; Globigerinita minuta; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber white; Globigerinoides sacculifer; Globoquadrina conglomerata; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides; Globorotalia tumida; Globorotaloides hexagonus; Globoturborotalita rubescens; Globoturborotalita tenella; Hastigerina digitata; Hastigerina pelagica; M31/2; M31/2_MSN895; Meteor (1986); MSN; Multiple opening/closing net; Neogloboquadrina dutertrei; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Orbulina universa; Paleoceanography at Tübingen University; Pulleniatina obliquiloculata; Sample comment; Tenuitella compressa; Tenuitella iota; Tenuitella parkerae; Turborotalita clarkei; Turborotalita humilis; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 1320 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 99
    facet.materialart.
    Unknown
    Plasm bearing foraminifera counts from multinet M31/2_MSN892 (2002)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Keywords: Beella digitata; Berggrenia pumilio; Candeina nitida; Counting, foraminifera, live (Walton, 1952, Cushman Found Foram Res 3:56-60); Dentagloborotalia anfracta; Depth, bottom/max; Depth, top/min; DEPTH, water; Foraminifera, planktic indeterminata; GeoTü; Globigerina bulloides; Globigerina falconensis; Globigerinella adamsi; Globigerinella calida; Globigerinella siphonifera; Globigerinita glutinata; Globigerinita minuta; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber white; Globigerinoides sacculifer; Globoquadrina conglomerata; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides; Globorotalia tumida; Globorotaloides hexagonus; Globoturborotalita rubescens; Globoturborotalita tenella; Hastigerina digitata; Hastigerina pelagica; M31/2; M31/2_MSN892; Meteor (1986); MSN; Multiple opening/closing net; Neogloboquadrina dutertrei; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Orbulina universa; Paleoceanography at Tübingen University; Pulleniatina obliquiloculata; Sample comment; Tenuitella compressa; Tenuitella iota; Tenuitella parkerae; Turborotalita clarkei; Turborotalita humilis; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 1056 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 100
    facet.materialart.
    Unknown
    Plasm bearing foraminifera counts from multinet M31/2_MSN896 (2002)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Keywords: Beella digitata; Berggrenia pumilio; Candeina nitida; Counting, foraminifera, live (Walton, 1952, Cushman Found Foram Res 3:56-60); Dentagloborotalia anfracta; Depth, bottom/max; Depth, top/min; DEPTH, water; Foraminifera, planktic indeterminata; GeoTü; Globigerina bulloides; Globigerina falconensis; Globigerinella adamsi; Globigerinella calida; Globigerinella siphonifera; Globigerinita glutinata; Globigerinita minuta; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber white; Globigerinoides sacculifer; Globoquadrina conglomerata; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia theyeri; Globorotalia truncatulinoides; Globorotalia tumida; Globorotaloides hexagonus; Globoturborotalita rubescens; Globoturborotalita tenella; Hastigerina digitata; Hastigerina pelagica; M31/2; M31/2_MSN896; Meteor (1986); MSN; Multiple opening/closing net; Neogloboquadrina dutertrei; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Orbulina universa; Paleoceanography at Tübingen University; Pulleniatina obliquiloculata; Sample comment; Tenuitella compressa; Tenuitella iota; Tenuitella parkerae; Turborotalita clarkei; Turborotalita humilis; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 1056 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
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