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  • Data  (75)
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  • 1
    Publication Date: 2023-01-19
    Keywords: Age; Barium/Calcium ratio; DIVERSE; LA-ICP-MS, Laser-ablation inductively coupled plasma mass spectrometer; Sampling gear, diverse; Species; Standard deviation, relative; USNM_10496
    Type: Dataset
    Format: text/tab-separated-values, 864 data points
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  • 2
    Publication Date: 2023-01-19
    Keywords: Distance; DIVERSE; Greyscale value; Sampling gear, diverse; Species; USNM_10496
    Type: Dataset
    Format: text/tab-separated-values, 3984 data points
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  • 3
    Publication Date: 2023-01-19
    Keywords: Age; DIVERSE; Electron microprobe JEOL JXA-8200; Magnesium/Calcium ratio; Sampling gear, diverse; Species; Standard deviation, relative; USNM_10496
    Type: Dataset
    Format: text/tab-separated-values, 17688 data points
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  • 4
    Publication Date: 2023-01-19
    Keywords: Distance; DIVERSE; Electron microprobe JEOL JXA-8200; Magnesium; Sampling gear, diverse; Species; Standard deviation, relative; Sulfur, total; USNM_10496
    Type: Dataset
    Format: text/tab-separated-values, 26526 data points
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  • 5
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    Unknown
    PANGAEA
    In:  Supplement to: Flöter, Sebastian; Fietzke, Jan; Gutjahr, Marcus; Farmer, Jesse R; Hönisch, Bärbel; Nehrke, Gernot; Eisenhauer, Anton (2019): The influence of skeletal micro-structures on potential proxy records in a bamboo coral. Geochimica et Cosmochimica Acta, 248, 43-60, https://doi.org/10.1016/j.gca.2018.12.027
    Publication Date: 2023-01-19
    Description: Assessing the physicochemical variability of the deeper ocean is currently hampered by limited instrumental time series and proxy records. Bamboo corals (Isididae) form a cosmopolitan family of calcitic deep sea corals that could fill this information gap via geochemical information recorded in their skeletons. Here we evaluate the suitability of high-resolution chemical imaging of bamboo coral skeletons for temperature and nutrient reconstruction. The applied elemental mapping techniques allow to verify the suitability of the chosen transect on the sample section for paleo-reconstructions and enhance the statistical precision of the reconstruction. We measured Mg/Ca via electron microprobe at 1 μm resolution and Ba/Ca via laser ablation ICP-MS at 35 μm resolution in a historic specimen of Keratoisis grayi from the Blake Plateau off Eastern Florida. Long-term growth temperatures of 7.1 ± 3.4 °C (2SD) that are in agreement with recent ambient temperature range can be reconstructed from Mg/Ca ratios provided that anomalously Mg-enriched structural features around the central axis and isolated features related to tissue attachment are avoided for reconstruction. Skeletal Ba/Ca measurements reflect mean seawater barium [Ba]SW concentrations ([Ba]SW = 51 ± 24 nmol kg−1 (2SD)), in agreement with instrumental data (47 nmol kg−1). We show for the first time that Ba/Ca forms concentric structures in a bamboo coral skeleton section. Our investigations suggest that, while bamboo coral skeletons do record environmental parameters in their mean chemical composition, the magnitude of environmental variability reconstructed from high-resolution chemical maps exceeds that expected from instrumental time series. This necessitates additional investigation of the factors driving bamboo coral skeletal composition.
    Keywords: DIVERSE; Sampling gear, diverse; USNM_10496
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 6
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Wall, Marlene; Nehrke, Gernot (2012): Reconstructing skeletal fiber arrangement and growth mode in the coral Porites lutea (Cnidaria, Scleractinia): a confocal Raman microscopy study. Biogeosciences, 9(11), 4885-4895, https://doi.org/10.5194/bg-9-4885-2012
    Publication Date: 2023-02-24
    Description: Confocal Raman microscopy (CRM) mapping was used to investigate the microstructural arrangement and organic matrix distribution within the skeleton of the coral Porites lutea. Relative changes in the crystallographic orientation of crystals within the fibrous fan-system could be mapped, without the need to prepare thin sections, as required if this information is obtained by polarized light microscopy. Simultaneously, incremental growth lines can be visualized without the necessity of etching and hence alteration of sample surface. Using these methods two types of growth lines could be identified: one corresponds to the well-known incremental growth layers, whereas the second type of growth lines resemble denticle finger-like structures (most likely traces of former spines or skeletal surfaces). We hypothesize that these lines represent the outer skeletal surface before another growth cycle of elongation, infilling and thickening of skeletal areas continues. We show that CRM mapping with high spatial resolution can significantly improve our understanding of the micro-structural arrangement and growth patterns in coral skeletons.
    Keywords: Adaman_Sea_coral_reefs; BIOACID; Biological Impacts of Ocean Acidification; Burma Sea, Andaman Sea; Counts; EPOCA; European Project on Ocean Acidification; Event label; Figure; Mediterranean Sea Acidification in a Changing Climate; MedSeA; Sample code/label; Wave number
    Type: Dataset
    Format: text/tab-separated-values, 40431 data points
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  • 7
    Publication Date: 2023-03-02
    Keywords: Arctic Ocean; Crystal size; Date/Time of event; Event label; ICEM; Ice measurement; LA11-ICE; LA11-ICE_20; LA11-ICE_21; LA11-ICE_22; LA11-ICE_27b; Lance; Latitude of event; Longitude of event; Maximum caliper diameter (dmax); Number; Sample ID; Sample position; Sample type; Standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 49 data points
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  • 8
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    Unknown
    PANGAEA
    In:  Supplement to: Hauck, Judith; Gerdes, Dieter; Hillenbrand, Claus-Dieter; Hoppema, Mario; Kuhn, Gerhard; Nehrke, Gernot; Völker, Christoph; Wolf-Gladrow, Dieter A (2012): Distribution and mineralogy of carbonate sediments on Antarctic shelves. Journal of Marine Systems, 90(1), 77-87, https://doi.org/10.1016/j.jmarsys.2011.09.005
    Publication Date: 2023-06-27
    Description: We analyzed 214 new core-top samples for their CaCO3 content from shelves all around Antarctica in order to understand their distribution and contribution to the marine carbon cycle. The distribution of sedimentary CaCO3 on the Antarctic shelves is connected to environmental parameters where we considered water depth, width of the shelf, sea-ice coverage and primary production. While CaCO3 contents of surface sediments are usually low, high(〉 15%) CaCO3 contents occur at shallow water depths (150-200 m) on narrow shelves of the eastern Weddell Sea and at a depth range of 600-900 m on the broader and deeper shelves of the Amundsen, Bellingshausen and western Weddell Seas. Regions with high primary production, such as the Ross Sea and the western Antarctic Peninsula region, have generally low CaCO3 contents in the surface sediments. The predominant mineral phase of CaCO3 on the Antarctic shelves is low-magnesium calcite. With respect to ocean acidification, our findings suggest that dissolution of carbonates in Antarctic shelf sediments may be an important negative feedback only after the onset of calcite undersaturation on the Antarctic shelves. Macrozoobenthic CaCO3 standing stocks do not increase the CaCO3 budget significantly as they are two orders of magnitude lower than the budget of the sediments. This first circumpolar compilation of Antarctic shelf carbonate data does not claim to be complete. Future studies are encouraged and needed to fill data gaps especially in the under-sampled southwest Pacific and Indian Ocean sectors of the Southern Ocean.
    Keywords: ANT-III/2; ANT-IX/3; ANT-V/1; ANT-VI/3; ANT-VII/4; ANT-XIII/3; ANT-XIX/5; ANT-XV/3; ANT-XVII/3; ANT-XXI/2; ANT-XXIII/8; BIOACID; Biological Impacts of Ocean Acidification; Drake Passage; Giant box corer; GKG; Haul 1; Haul 10; Haul 11; Haul 12; Haul 20; Haul 22; Haul 23; Haul 24; Haul 25; Haul 26; Haul 27; Haul 28; Haul 29; Haul 30; Haul 31; Haul 33; Haul 35; Haul 36; Haul 37; Haul 38; Haul 4; Haul 5; Haul 6; Haul 8; Haul 9; Kapp Norvegia; Lazarev Sea; MG; MULT; Multiboxcorer; Multiple investigations; Polarstern; PS06; PS06/120-1; PS06/151-7; PS06/158-1; PS06/196-2; PS06/203-2; PS06/207-3; PS06/208-1; PS09/004-2; PS09/010-3; PS09/020-2; PS09/091-6; PS09/115-3; PS09/119-5; PS09/123-5; PS09/126-5; PS09/132-2; PS09/134-3; PS09/136-4; PS09/138-3; PS09/139-3; PS09/140-3; PS09/141-3; PS09/142-4; PS09/143-3; PS09/145-3; PS09/147-3; PS09/148-3; PS09/149-4; PS09/150-1; PS09/151-3; PS09/152-3; PS09/153-3; PS09/154-3; PS09/155-2; PS09 WWSP86 SIBEX; PS12; PS12/266; PS12/298; PS12/305; PS12/308; PS12/314; PS12/323; PS12/333; PS12/342; PS12/344; PS12/346; PS12/348; PS12/354; PS12/362-2; PS12/372; PS12/378; PS12/384; PS12/387; PS12/396; PS12/418; PS12/437; PS12/503; PS12/512-2; PS14/229-1; PS14/235-1; PS14/241-1; PS14/245-1; PS14/248-1; PS14/249-1; PS14/250-11; PS14/250-8; PS14/274-1; PS14/277-1; PS14/292-1; PS14 EPOS I; PS1579-1; PS1589-1; PS1593-1; PS1594-1; PS1597-1; PS1601-1; PS1604-1; PS1608-1; PS1609-1; PS1610-4; PS1611-1; PS1614-1; PS1621-1; PS1624-1; PS1627-1; PS1628-2; PS1629-1; PS1631-1; PS1632-1; PS1641-1; PS18; PS18/127; PS18/129; PS18/135; PS18/162; PS18/165; PS18/171; PS18/173; PS18/175-8; PS18/179-4; PS18/180-5; PS18/189; PS18/212-7; PS18/216; PS18/220-1; PS18/222; PS1995-1; PS1997-2; PS1998-1; PS2016-3; PS2018-1; PS2024-1; PS2026-2; PS2042-2; PS2063-1; PS2068-1; PS39/002-3; PS39/002-4; PS39/002-6; PS39/002-7; PS39/004-9; PS39/005-13; PS39/005-14; PS39/005-15; PS39/005-6; PS39/006-17; PS39/006-19; PS39/006-20; PS39/006-21; PS39/008-4; PS39/008-5; PS39/008-7; PS39/009-10; PS39/009-11; PS39/009-12; PS39/009-6; PS39/009-9; PS39/024-7; PS39/024-8; PS39/025-8; PS39/026-4; PS39 EASIZ; PS48/047; PS48/048; PS48/063; PS48/065-2; PS48/067; PS48/068; PS48/069; PS48/092; PS48/146; PS48/188; PS48/216; PS48/223; PS48/224; PS48/225; PS48/227; PS48/228; PS48/230; PS48/299; PS48/300; PS48/325; PS48/326; PS48/341; PS48/345; PS48 EASIZ II; PS56/090-1; PS56/098-2; PS56/108-1; PS56/112-1; PS56/113-1; PS56/114-1; PS56/120-1; PS56/121-1; PS56/135-6; PS56/137-1; PS56/148-3; PS56/160-2; PS56/161-2; PS56/162-2; PS56/169-1; PS56/176-2; PS56/177-3; PS56/178-1; PS56/179-1; PS56/180-1; PS56/190-2; PS56/190-3; PS56 EASIZ III; PS61/163-1; PS61/176-1; PS61 LAMPOS; PS65/076-1; PS65/077-1; PS65/080-1; PS65/082-1; PS65/084-1; PS65/105-1; PS65/106-1; PS65/116-1; PS65/124-1; PS65/125-1; PS65/183-1; PS65/185-1; PS65/187-1; PS65/197-1; PS65/199-1; PS65/201-1; PS65/202-1; PS65/282-1; PS65/331-1; PS65 BENDEX; PS69; PS69/693-3; PS69/700-1; PS69/701-1; PS69/703-4; PS69/704-1; PS69/706-3; PS69/709-6; PS69/715-3; PS69/718-7; PS69/722-2; PS69/725-4; Scotia Sea, southwest Atlantic; South Atlantic Ocean; South Pacific Ocean; van Veen Grab; VGRAB; Walther Herwig II; Weddell Sea; Weddell Sea, Larsen-A; Weddell Sea, Larsen-B; WH068/1; WH068/1_089; WH068/1_090; WH068/1_096; WH068/1_100; WH068/1_101; WH068/1_102; WH068/1_106; WH068/1_107; WH068/1_114; WH068/1_116; WH068/1_120; WH068/1_133; WH068/1_137; WH068/1_142; WH068/1_143; WH068/1_148; WH068/1_149; WH068/1_154; WH068/1_155; WH068/1_160; WH068/1_161; WH068/1_165; WH068/1_166; WH068/1_171; WH068/2; WH068/2_266; WH068/2_275; WH068/2_278; WH068/2_287; WH068/2_293; WH068/2_311; WH068/2_312; WH068/2_313; WH068/2_319; WH068/2_320; WH113/1, SIBEX-II; WH113/2, SIBEX-II
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 9
    Publication Date: 2023-05-12
    Keywords: Arctic Ocean; Date/Time of event; Event label; ICEM; Ice measurement; LA11-ICE; LA11-ICE_1; LA11-ICE_11; LA11-ICE_20; LA11-ICE_21; LA11-ICE_22; LA11-ICE_25; LA11-ICE_27a; LA11-ICE_27b; Lance; Latitude of event; Longitude of event; Sea ice thickness; Snow thickness; Snow type; Temperature, air
    Type: Dataset
    Format: text/tab-separated-values, 32 data points
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  • 10
    Publication Date: 2023-05-12
    Keywords: Arctic Ocean; Date/Time of event; Event label; ICEM; Ice measurement; LA11-ICE; LA11-ICE_1; LA11-ICE_11; LA11-ICE_20; LA11-ICE_21; LA11-ICE_22; LA11-ICE_25; LA11-ICE_27a; LA11-ICE_27b; Lance; Latitude of event; Longitude of event; Salinity, brine; Salinity, maximum; Salinity, minimum; Sea ice salinity; Snow salinity; Temperature, ice/snow; Temperature, ice/snow, maximum; Temperature, ice/snow, minimum
    Type: Dataset
    Format: text/tab-separated-values, 107 data points
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