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  • PANGAEA  (235,067)
  • 2010-2014  (50,511)
  • 2005-2009  (183,891)
  • 1980-1984  (665)
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  • 1
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    PANGAEA
    In:  Supplement to: Lisiecki, Lorraine E; Raymo, Maureen E (2005): A Pliocene-Pleistocene stack of 57 globally distributed benthic d18O records. Paleoceanography, 20, PA1003, https://doi.org/10.1029/2004PA001071
    Publication Date: 2024-06-18
    Description: We present a 5.3-Myr stack (the ''LR04'' stack) of benthic d18O records from 57 globally distributed sites aligned by an automated graphic correlation algorithm. This is the first benthic delta18O stack composed of more than three records to extend beyond 850 ka, and we use its improved signal quality to identify 24 new marine isotope stages in the early Pliocene. We also present a new LR04 age model for the Pliocene-Pleistocene derived from tuning the delta18O stack to a simple ice model based on 21 June insolation at 65 N. Stacked sedimentation rates provide additional age model constraints to prevent overtuning. Despite a conservative tuning strategy, the LR04 benthic stack exhibits significant coherency with insolation in the obliquity band throughout the entire 5.3 Myr and in the precession band for more than half of the record. The LR04 stack contains significantly more variance in benthic delta18O than previously published stacks of the late Pleistocene as the result of higher resolution records, a better alignment technique, and a greater percentage of records from the Atlantic. Finally, the relative phases of the stack's 41- and 23-kyr components suggest that the precession component of delta18O from 2.7-1.6 Ma is primarily a deep-water temperature signal and that the phase of d18O precession response changed suddenly at 1.6 Ma.
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 2
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    PANGAEA
    In:  Supplement to: Tatters, Avery O; Schnetzer, Astrid; Fu, Feixue; Lie, Alle Y A; Caron, David A; Hutchins, David A (2013): Short- versus long-term responses to changing CO2 in a coastal dinoflagellate bloom: implications for interspecific competitive interactions and community structure. Evolution, 67(7), 1879-1891, https://doi.org/10.1111/evo.12029
    Publication Date: 2024-06-18
    Description: Increasing pCO2 (partial pressure of CO2 ) in an "acidified" ocean will affect phytoplankton community structure, but manipulation experiments with assemblages briefly acclimated to simulated future conditions may not accurately predict the long-term evolutionary shifts that could affect inter-specific competitive success. We assessed community structure changes in a natural mixed dinoflagellate bloom incubated at three pCO2 levels (230, 433, and 765 ppm) in a short-term experiment (2 weeks). The four dominant species were then isolated from each treatment into clonal cultures, and maintained at all three pCO2 levels for approximately 1 year. Periodically (4, 8, and 12 months), these pCO2 -conditioned clones were recombined into artificial communities, and allowed to compete at their conditioning pCO2 level or at higher and lower levels. The dominant species in these artificial communities of CO2 -conditioned clones differed from those in the original short-term experiment, but individual species relative abundance trends across pCO2 treatments were often similar. Specific growth rates showed no strong evidence for fitness increases attributable to conditioning pCO2 level. Although pCO2 significantly structured our experimental communities, conditioning time and biotic interactions like mixotrophy also had major roles in determining competitive outcomes. New methods of carrying out extended mixed species experiments are needed to accurately predict future long-term phytoplankton community responses to changing pCO2 .
    Keywords: Alexandrium sp.; Alkalinity, total; Aragonite saturation state; Bicarbonate ion; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Cell density; Chromista; Coast and continental shelf; Coulometric titration; Coulometry; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gonyaulax sp.; Growth/Morphology; Growth rate; Identification; Incubation duration; Laboratory experiment; Lingulodinium polyedra; Myzozoa; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH meter; Phytoplankton; Potentiometric; Prorocentrum micans; Replicate; Salinity; Species; Species interaction; Temperate; Temperature, water; Treatment; Tropical
    Type: Dataset
    Format: text/tab-separated-values, 5616 data points
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  • 3
    Publication Date: 2024-06-18
    Keywords: AGE; stacked; δ18O, stacked; δ18O, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 4230 data points
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  • 4
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    PANGAEA
    In:  Supplement to: Zubrzycki, Sebastian; Kutzbach, Lars; Grosse, Guido; Desyatkin, Alexey; Pfeiffer, Eva-Maria (2013): Organic carbon and total nitrogen stocks in soils of the Lena River Delta. Biogeosciences, 10(6), 3507-3524, https://doi.org/10.5194/bg-10-3507-2013
    Publication Date: 2024-06-17
    Description: The Lena River Delta, which is the largest delta in the Arctic, extends over an area of 32 000 km**2 and likely holds more than half of the entire soil organic carbon (SOC) mass stored in the seven major deltas in the northern permafrost regions. The geomorphic units of the Lena River Delta which were formed by true deltaic sedimentation processes are a Holocene river terrace and the active floodplains. Their mean SOC stocks for the upper 1 m of soils were estimated at 29 kg/m**2 ± 10 kg/m**2 and at 14 kg/m**2 ± 7 kg/m**2, respectively. For the depth of 1 m, the total SOC pool of the Holocene river terrace was estimated at 121 Tg ± 43 Tg, and the SOC pool of the active floodplains was estimated at 120 Tg ± 66 Tg. The mass of SOC stored within the observed seasonally thawed active layer was estimated at about 127 Tg assuming an average maximum active layer depth of 50 cm. The SOC mass which is stored in the perennially frozen ground at the increment 50-100 cm soil depth, which is currently excluded from intense biogeochemical exchange with the atmosphere, was estimated at 113 Tg. The mean nitrogen (N) stocks for the upper 1 m of soils were estimated at 1.2 kg/m**2 ± 0.4 kg/m**2 for the Holocene river terrace and at 0.9 kg/m**2 ± 0.4 kg/m**2 for the active floodplain levels, respectively. For the depth of 1 m, the total N pool of the river terrace was estimated at 4.8 Tg ± 1.5 Tg, and the total N pool of the floodplains was estimated at 7.7 Tg ± 3.6 Tg. Considering the projections for deepening of the seasonally thawed active layer up to 120 cm in the Lena River Delta region within the 21st century, these large carbon and nitrogen stocks could become increasingly available for decomposition and mineralization processes.
    Type: Dataset
    Format: application/zip, 29 datasets
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  • 5
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    PANGAEA
    In:  Observation de la Terre - Environnement (ACRI-ST), Sophia Antipolis
    Publication Date: 2024-06-17
    Description: In 2005, the International Ocean Colour Coordinating Group (IOCCG) convened a working group to examine the state of the art in ocean colour data merging, which showed that the research techniques had matured sufficiently for creating long multi-sensor datasets (IOCCG, 2007). As a result, ESA initiated and funded the DUE GlobColour project (http://www.globcolour.info/) to develop a satellite based ocean colour data set to support global carbon-cycle research. It aims to satisfy the scientific requirement for a long (10+ year) time-series of consistently calibrated global ocean colour information with the best possible spatial coverage. This has been achieved by merging data from the three most capable sensors: SeaWiFS on GeoEye's Orbview-2 mission, MODIS on NASA's Aqua mission and MERIS on ESA's ENVISAT mission. In setting up the GlobColour project, three user organisations were invited to help. Their roles are to specify the detailed user requirements, act as a channel to the broader end user community and to provide feedback and assessment of the results. The International Ocean Carbon Coordination Project (IOCCP) based at UNESCO in Paris provides direct access to the carbon cycle modelling community's requirements and to the modellers themselves who will use the final products. The UK Met Office's National Centre for Ocean Forecasting (NCOF) in Exeter, UK, provides an understanding of the requirements of oceanography users, and the IOCCG bring their understanding of the global user needs and valuable advice on best practice within the ocean colour science community. The three year project kicked-off in November 2005 under the leadership of ACRI-ST (France). The first year was a feasibility demonstration phase that was successfully concluded at a user consultation workshop organised by the Laboratoire d'Océanographie de Villefranche, France, in December 2006. Error statistics and inter-sensor biases were quantified by comparison with insitu measurements from moored optical buoys and ship based campaigns, and used as an input to the merging. The second year was dedicated to the production of the time series. In total, more than 25 Tb of input (level 2) data have been ingested and 14 Tb of intermediate and output products created, with 4 Tb of data distributed to the user community. Quality control (QC) is provided through the Diagnostic Data Sets (DDS), which are extracted sub-areas covering locations of in-situ data collection or interesting oceanographic phenomena. This Full Product Set (FPS) covers global daily merged ocean colour products in the time period 1997-2006 and is also freely available for use by the worldwide science community at http://www.globcolour.info/data_access_full_prod_set.html. The GlobColour service distributes global daily, 8-day and monthly data sets at 4.6 km resolution for, chlorophyll-a concentration, normalised water-leaving radiances (412, 443, 490, 510, 531, 555 and 620 nm, 670, 681 and 709 nm), diffuse attenuation coefficient, coloured dissolved and detrital organic materials, total suspended matter or particulate backscattering coefficient, turbidity index, cloud fraction and quality indicators. Error statistics from the initial sensor characterisation are used as an input to the merging methods and propagate through the merging process to provide error estimates for the output merged products. These error estimates are a key component of GlobColour as they are invaluable to the users; particularly the modellers who need them in order to assimilate the ocean colour data into ocean simulations. An intensive phase of validation has been undertaken to assess the quality of the data set. In addition, inter-comparisons between the different merged datasets will help in further refining the techniques used. Both the final products and the quality assessment were presented at a second user consultation in Oslo on 20-22 November 2007 organised by the Norwegian Institute for Water Research (NIVA); presentations are available on the GlobColour WWW site. On request of the ESA Technical Officer for the GlobColour project, the FPS data set was mirrored in the PANGAEA data library.
    Keywords: European Node for Global Ocean Colour; GlobColour
    Type: Dataset
    Format: application/zip, 19 datasets
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  • 6
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    Unknown
    PANGAEA
    In:  Supplement to: Mertens, Kenneth Neil; Verhoeven, Koen; Verleye, Thomas; Louwye, Stephen; Amorim, Ana; Ribeiro, Sofia; Deaf, Amr S; Harding, Ian C; De Schepper, Stijn; González, Catalina; Kodrans-Nsiah, Monika; de Vernal, Anne; Henry, Maryse; Radi, Taoufik; Dybkjaer, Karen; Poulsen, Niels E; Feist-Burkhardt, Susanne; Chitolie, Jonah; Heilmann-Clausen, Claus; Londeix, Laurent; Turon, Jean-Louis; Marret, Fabienne; Matthiessen, Jens; McCarthy, Francine M G; Prasad, Vandana; Pospelova, Vera; Hughes, Jane E Kyffin; Riding, James B; Rochon, André; Sangiorgi, Francesca; Welters, Natasja; Sinclair, Natalie; Thun, Christian; Soliman, Ali; Van Nieuwenhove, Nicolas; Vink, Annemiek; Young, Martin (2009): Determining the absolute abundance of dinoflagellate cysts in recent marine sediments: The Lycopodium marker-grain method put to the test. Review of Palaeobotany and Palynology, Review of Palaeobotany and Palynology, 157(3-4), 238-252, https://doi.org/10.1016/j.revpalbo.2009.05.004
    Publication Date: 2024-06-17
    Description: Absolute abundances (concentrations) of dinoflagellate cysts are often determined through the addition of Lycopodium clavatum marker-grains as a spike to a sample before palynological processing. An inter-laboratory calibration exercise was set up in order to test the comparability of results obtained in different laboratories, each using its own preparation method. Each of the 23 laboratories received the same amount of homogenized splits of four Quaternary sediment samples. The samples originate from different localities and consisted of a variety of lithologies. Dinoflagellate cysts were extracted and counted, and relative and absolute abundances were calculated. The relative abundances proved to be fairly reproducible, notwithstanding a need for taxonomic calibration. By contrast, excessive loss of Lycopodium spores during sample preparation resulted in non-reproducibility of absolute abundances. Use of oxidation, KOH, warm acids, acetolysis, mesh sizes larger than 15 µm and long ultrasonication (〉 1 min) must be avoided to determine reproducible absolute abundances. The results of this work therefore indicate that the dinoflagellate cyst worker should make a choice between using the proposed standard method which circumvents critical steps, adding Lycopodium tablets at the end of the preparation and using an alternative method.
    Keywords: Benguela; Celtic_Sea; Center for Marine Environmental Sciences; GeoB; Geosciences, University of Bremen; MARUM; MUC; MultiCorer; North_Sea; North Sea; NW_Africa
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 7
    Publication Date: 2024-06-17
    Keywords: AL374; AL374_507-2; Alkalinity, total; Alkor (1990); Ammonium; Carbon, inorganic, dissolved; CO2BaseSleipner; DEPTH, sediment/rock; ECO2; Flow injection analysis (Hall and Aller 1992); MIC; MiniCorer; Nitrate and Nitrite; Nitrite; Phosphate; Photometer, methylene blue (Cline 1969); Seawater analysis after Grasshoff et al., 1983 (Verlag Chemie GmbH Weinheim); Silicate; Sleipner; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Sulfide; Two-point titration (Edmond 1970)
    Type: Dataset
    Format: text/tab-separated-values, 64 data points
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  • 8
    Publication Date: 2024-06-17
    Keywords: AL374; AL374_515-1; Alkalinity, total; Alkor (1990); Ammonium; Calculated from mass/volume; Carbon, inorganic, dissolved; CO2BaseSleipner; Density, dry bulk; Density, wet bulk; DEPTH, sediment/rock; ECO2; Flow injection analysis (Hall and Aller 1992); Gas chromatography; Methane; Nitrate and Nitrite; Nitrite; Phosphate; Photometer, methylene blue (Cline 1969); Porosity; Seawater analysis after Grasshoff et al., 1983 (Verlag Chemie GmbH Weinheim); Silicate; Sleipner; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Sulfide; Two-point titration (Edmond 1970); van Veen Grab; VGRAB
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
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  • 9
    Publication Date: 2024-06-17
    Keywords: AL374; AL374_518-1; Alkalinity, total; Alkor (1990); Ammonium; Calculated from mass/volume; Carbon, inorganic, dissolved; CO2BaseSleipner; Density, dry bulk; Density, wet bulk; DEPTH, sediment/rock; ECO2; Flow injection analysis (Hall and Aller 1992); Gas chromatography; Methane; Nitrate and Nitrite; Nitrite; Phosphate; Photometer, methylene blue (Cline 1969); Porosity; Seawater analysis after Grasshoff et al., 1983 (Verlag Chemie GmbH Weinheim); Silicate; Sleipner; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Sulfide; Two-point titration (Edmond 1970); van Veen Grab; VGRAB
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
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  • 10
    Publication Date: 2024-06-17
    Keywords: AL374; AL374_517-1; Alkalinity, total; Alkor (1990); Ammonium; Calculated from mass/volume; Carbon, inorganic, dissolved; CO2BaseSleipner; Density, dry bulk; Density, wet bulk; DEPTH, sediment/rock; ECO2; Flow injection analysis (Hall and Aller 1992); Gas chromatography; Methane; Nitrate and Nitrite; Nitrite; Phosphate; Photometer, methylene blue (Cline 1969); Porosity; Seawater analysis after Grasshoff et al., 1983 (Verlag Chemie GmbH Weinheim); Silicate; Sleipner; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Sulfide; Two-point titration (Edmond 1970); van Veen Grab; VGRAB
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
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