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  • Data  (157)
  • PANGAEA  (157)
  • Cambridge University Press
  • Springer Nature
  • 2010-2014  (157)
  • 1980-1984
  • 1940-1944
  • 2012  (157)
  • 1942
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Source
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Publisher
  • PANGAEA  (157)
  • Cambridge University Press
  • Springer Nature
Years
  • 2010-2014  (157)
  • 1980-1984
  • 1940-1944
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  • 1
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    Charcoal records of two sediment cores off SW Africa (2012)
    PANGAEA
    In:  Supplement to: Daniau, Anne-Laure; Bartlein, Patrick J; Harrison, S P; Prentice, Iain Colin; Brewer, Simon; Friedlingstein, Pierre; Harrison-Prentice, T I; Inoue, J; Izumi, K; Marlon, Jennifer R; Mooney, Scott D; Power, Mitchell J; Stevenson, J; Tinner, Willy; Andric, M; Atanassova, J; Behling, Hermann; Black, M; Blarquez, O; Brown, K J; Carcaillet, C; Colhoun, Eric A; Colombaroli, Daniele; Davis, Basil A S; D'Costa, D; Dodson, John; Dupont, Lydie M; Eshetu, Z; Gavin, D G; Genries, A; Haberle, Simon G; Hallett, D J; Hope, Geoffrey; Horn, S P; Kassa, T G; Katamura, F; Kennedy, L M; Kershaw, A Peter; Krivonogov, S; Long, C; Magri, Donatella; Marinova, E; McKenzie, G Merna; Moreno, P I; Moss, Patrick T; Neumann, F H; Norstrom, E; Paitre, C; Rius, D; Roberts, Neil; Robinson, G S; Sasaki, N; Scott, Louis; Takahara, H; Terwilliger, V; Thevenon, Florian; Turner, R; Valsecchi, V G; Vannière, Boris; Walsh, M; Williams, N; Zhang, Yancheng (2012): Predictability of biomass burning in response to climate changes. Global Biogeochemical Cycles, 26(4), https://doi.org/10.1029/2011GB004249
    Details
    Publication Date: 2024-05-27
    Description: We analyze sedimentary charcoal records to show that the changes in fire regime over the past 21,000 yrs are predictable from changes in regional climates. Analyses of paleo- fire data show that fire increases monotonically with changes in temperature and peaks at intermediate moisture levels, and that temperature is quantitatively the most important driver of changes in biomass burning over the past 21,000 yrs. Given that a similar relationship between climate drivers and fire emerges from analyses of the interannual variability in biomass burning shown by remote-sensing observations of month-by-month burnt area between 1996 and 2008, our results signal a serious cause for concern in the face of continuing global warming.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 2 datasets
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    DATA PANGAEA
  • 2
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    Global distributions of picophytoplankton abundance and biomass - Gridded data product (NetCDF) - Contribution to the MAREDAT World Ocean Atlas of Plankton Functional Types (2012)
    PANGAEA
    Details
    Publication Date: 2023-03-27
    Description: The smallest marine phytoplankton, collectively termed picophytoplankton, have been routinely enumerated by flow cytometry since the late 1980s, during cruises throughout most of the world ocean. We compiled a database of 40,946 data points, with separate abundance entries for Prochlorococcus, Synechococcus and picoeukaryotes. We use average conversion factors for each of the three groups to convert the abundance data to carbon biomass. After gridding with 1° spacing, the database covers 2.4% of the ocean surface area, with the best data coverage in the North Atlantic, the South Pacific and North Indian basins. The average picophytoplankton biomass is 12 ± 22 µg C L-1 or 1.9 g C m-2. We estimate a total global picophytoplankton biomass, excluding N2-fixers, of 0.53 - 0.74 Pg C (17 - 39 % Prochlorococcus, 12 - 15 % Synechococcus and 49 - 69 % picoeukaryotes). Future efforts in this area of research should focus on reporting calibrated cell size, and collecting data in undersampled regions.
    Keywords: MAREMIP; MARine Ecosystem Model Intercomparison Project
    Type: Dataset
    Format: application/zip, 6.6 MBytes
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    DATA PANGAEA
  • 3
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    Results from Purgatory Conglomerate investigations (2012)
    PANGAEA
    In:  Supplement to: McPherren, Eric D; Kuiper, Yvette D (2013): The effects of Dissolution–Precipitation Creep on quartz fabrics within the Purgatory Conglomerate, Rhode Island. Journal of Structural Geology, 51, 105-117, https://doi.org/10.1016/j.jsg.2013.03.002
    Details
    Publication Date: 2023-01-13
    Description: Quartz Crystallographic Preferred Orientation (CPO) patterns are most commonly a result of deformation by dislocation creep. We investigated whether Dissolution-Precipitation Creep (DPC) a process that occur at lower differential stresses and temperatures, may result in CPO in quartz. Within the Purgatory Conglomerate, DPC led to quartz dissolution along cobble surfaces perpendicular to the shortening direction, and quartz precipitation in overgrowths at the ends of the cobbles (strain shadows), parallel to the maximum extension direction. The Purgatory Conglomerate is part of the SE Narragansett basin where strain intensity increases from west to east and is associated with top-to-the-west transport and folding during the Alleghanian orogeny. Quartz c-axis orientations as revealed by Electron Backscatter Diffraction (EBSD) methods, were random in all analyzed domains within the cobbles and strain shadows irrespective of the intensity of strain or metamorphic grade of the sample. Quartz dissolution probably occurred exclusively along the cobbles' margins, leaving the remaining grains unaffected by DPC. The fact that quartz precipitated in random orientations may indicate that the strain shadows were regions of little or no differential stress.
    Keywords: Black Point, Rhode Island, USA; Geological sample; GEOS; Hill Point, Rhode Island, USA; Purgatory Chasm, Newport, Rhode Island, USA; Site_1; Site_2; Site_3
    Type: Dataset
    Format: application/zip, 3 datasets
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    DATA PANGAEA
  • 4
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    Appendix A: Cobble sample images (2012)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Keywords: Black Point, Rhode Island, USA; Event label; File format; File size; Geological sample; GEOS; Hill Point, Rhode Island, USA; Purgatory Chasm, Newport, Rhode Island, USA; Site_1; Site_2; Site_3; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 9 data points
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  • 5
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    Appendix B: Cobble dimensions and orientations of the Purgatory Conglomerate (2012)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Keywords: -; Black Point, Rhode Island, USA; Event label; Geological sample; GEOS; Hill Point, Rhode Island, USA; Plunge; Purgatory Chasm, Newport, Rhode Island, USA; Sample code/label; Site_1; Site_2; Site_3; Trend; x/y ratio; X Axis; y/z ratio; Y Axis; Z Axis
    Type: Dataset
    Format: text/tab-separated-values, 733 data points
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    DATA PANGAEA
  • 6
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    Cobble shapes and shape change in Purgatory Conglomerate (2012)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Keywords: -; average; Black Point, Rhode Island, USA; Calculated; Change; delta; Event label; Geological sample; GEOS; Hill Point, Rhode Island, USA; Purgatory Chasm, Newport, Rhode Island, USA; Site_1; Site_2; Site_3; Volume; x/y ratio; X Axis; y/z ratio; Y Axis; Z Axis
    Type: Dataset
    Format: text/tab-separated-values, 45 data points
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    DATA PANGAEA
  • 7
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    (Table S4) Geochemistry Cenomanian-Turonian sediments from DSDP Hole 93-603B (2012)
    PANGAEA
    Details
    Publication Date: 2023-09-30
    Keywords: 93-603B; Aluminium; Deep Sea Drilling Project; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Glomar Challenger; Iron; Iron/Aluminium ratio; Leg93; Molybdenum; Replicates; Sample code/label; δ56Fe; δ56Fe, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 306 data points
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  • 8
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    (Table 1) Eocene fish debris, Nd-Sr isotopic compositions of chemically treated fish debris and H202-leach fractions from IODP Exp 302 (2012)
    PANGAEA
    Details
    Publication Date: 2023-09-30
    Keywords: 302-M0002A; 302-M0004A; 302-M0004B; ACEX-M2A; ACEX-M4A; ACEX-M4B; AGE; Arctic Coring Expedition, ACEX; Arctic Ocean; CCGS Captain Molly Kool (Vidar Viking); Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Depth comment; Event label; Exp302; ICP-MS, see further details; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Neodymium-143/Neodymium-144 ratio; Neodymium-143/Neodymium-144 ratio, error; Rubidium-87/Strontium-86 ratio; Samarium-147/Neodymium-144 ratio; Sample code/label; Sample comment; Sample type; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, error; ε-Neodymium, standard deviation; ε-Neodymium (0)
    Type: Dataset
    Format: text/tab-separated-values, 290 data points
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  • 9
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    (Table S7) Geochemistry of Cenomanian-Turonian sediments from section Tarfaya S75 (2012)
    PANGAEA
    Details
    Publication Date: 2023-09-30
    Keywords: Aluminium; HEIGHT above ground; Iron; Iron/Aluminium ratio; Molybdenum; Replicates; S75; Sample code/label; δ56Fe; δ56Fe, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 161 data points
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    DATA PANGAEA
  • 10
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    Nd-Sr isotopes in fossil fish debris from IODP Exp302 (2012)
    PANGAEA
    In:  Supplement to: Gleason, James D; Thomas, Deborah J; Moore, Theodore C; Blum, Joel D; Owen, Robert M; Haley, Brian A (2009): Early to middle Eocene history of the Arctic Ocean from Nd-Sr isotopes in fossil fish debris, Lomonosov Ridge. Paleoceanography, 24(2), PA2215, https://doi.org/10.1029/2008PA001685
    Details
    Publication Date: 2023-09-30
    Description: Strontium and neodymium radiogenic isotope ratios in early to middle Eocene fossil fish debris (ichthyoliths) from Lomonosov Ridge (Integrated Ocean Drilling Program Expedition 302) help constrain water mass compositions in the Eocene Arctic Ocean between 55 and 45 Ma. The inferred paleodepositional setting was a shallow, offshore marine to marginal marine environment with limited connections to surrounding ocean basins. The new data demonstrate that sources of Nd and Sr in fish debris were distinct from each other, consistent with a salinity-stratified water column above Lomonosov Ridge in the Eocene. The 87Sr/86Sr values of ichthyoliths (0.7079 - 0.7087) are more radiogenic than Eocene seawater, requiring brackish to fresh water conditions in the environment where fish metabolized Sr. The 87Sr/86Sr variations probably record changes in the overall balance of river Sr flux to the Eocene Arctic Ocean between 55 and 45 Ma and are used here to reconstruct surface water salinity values. The eNd values of ichthyoliths vary between -5.7 and -7.8, compatible with periodic (or intermittent) supply of Nd to Eocene Arctic intermediate water (AIW) from adjacent seas. Although the Norwegian-Greenland Sea and North Atlantic Ocean were the most likely sources of Eocene AIW Nd, input from the Tethys Sea (via the Turgay Strait in early Eocene time) and the North Pacific Ocean (via a proto-Bering Strait) also contributed.
    Keywords: Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP
    Type: Dataset
    Format: application/zip, 2 datasets
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    DATA PANGAEA
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