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  • Cambridge University Press  (16,444)
  • American Chemical Society (ACS)
  • PANGAEA
  • 2020-2023  (21)
  • 1985-1989  (14,161)
  • 1960-1964  (3,825)
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  • 1
    Publication Date: 2022-06-22
    Description: Pliocene–Quaternary faults are relevant structures with which to constrain the seismotectonic context and contribute to the evaluation of the seismic hazard of a region. Many of these faults, however, do not show clear surface evidence even when releasing earthquakes. For these reasons they can be extremely dangerous as they receive relatively little attention and can be difficult to identify. From among the various surface geology studies and/or palaeoseismological investigations, we focus our attention on the integration of different datasets such as seismic reflection profiles, surface kinematic data and the relocation of seismological data, which make it possible to identify and characterize active faults whose dimension and earthquake potential would otherwise not be large enough to make them identifiable. We take as an example the Montespertoli NE-trending fault in southern Tuscany (central Italy) with which we associate the 2016 M=3.9 Castelfiorentino earthquake. This structure is part of a wider (in the order of 15–20 km) crustal-scale shear zone, which may be responsible for strong historical earthquakes in the area.
    Description: Published
    Description: 853 - 872
    Description: 4T. Sismicità dell'Italia
    Description: JCR Journal
    Keywords: active faults ; seismic faults ; Earthquakes ; strike-slip faults ; inner Northern Apennines ; solid earth
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 2
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    Cambridge University Press
    Publication Date: 2022-10-26
    Description: © The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in McNichol, A., Key, R., & Guilderson, T. Global ocean radiocarbon programs. Radiocarbon, (2022): 1–13, https://doi.org/10.1017/rdc.2022.17.
    Description: The importance of studying the radiocarbon content of dissolved inorganic carbon (DI14C) in the oceans has been recognized for decades. Starting with the GEOSECS program in the 1970s, 14C sampling has been a part of most global survey programs. Early results were used to study air-sea gas exchange while the more recent results are critical for helping calibrate ocean general circulation models used to study the effects of climate change. Here we summarize the major programs and discuss some of the important insights the results are starting to provide.
    Description: Authors received funding from the National Science Foundation OCE-85865400 (APM) and a Woods Hole Oceanographic Technical Staff Award (APM).
    Keywords: Dissolved inorganic carbon ; Ocean models ; Oceanography ; Radiocarbon
    Repository Name: Woods Hole Open Access Server
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  • 3
    Publication Date: 2022-10-26
    Description: © The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Druffel, E., Beaupre, S., Grotheer, H., Lewis, C., McNichol, A., Mollenhauer, G., & Walker, B. Marine organic carbon and radiocarbon – present and future challenges. Radiocarbon, (2022): 1-17, https://doi.org/10.1017/RDC.2021.105.
    Description: We discuss present and developing techniques for studying radiocarbon in marine organic carbon (C). Bulk DOC (dissolved organic C) Δ14C measurements reveal information about the cycling time and sources of DOC in the ocean, yet they are time consuming and need to be streamlined. To further elucidate the cycling of DOC, various fractions have been separated from bulk DOC, through solid phase extraction of DOC, and ultrafiltration of high and low molecular weight DOC. Research using 14C of DOC and particulate organic C separated into organic fractions revealed that the acid insoluble fraction is similar in 14C signature to that of the lipid fraction. Plans for utilizing this methodology are described. Studies using compound specific radiocarbon analyses to study the origin of biomarkers in the marine environment are reviewed and plans for the future are outlined. Development of ramped pyrolysis oxidation methods are discussed and scientific questions addressed. A modified elemental analysis (EA) combustion reactor is described that allows high particulate organic C sample throughput by direct coupling with the MIniCArbonDAtingSystem.
    Keywords: CSRA ; Dissolved organic carbon ; Methodology ; Organic carbon ; Radiocarbon
    Repository Name: Woods Hole Open Access Server
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  • 4
    Publication Date: 2022-10-26
    Description: © The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Priscu, J. C., Kalin, J., Winans, J., Campbell, T., Siegfried, M. R., Skidmore, M., Dore, J. E., Leventer, A., Harwood, D. M., Duling, D., Zook, R., Burnett, J., Gibson, D., Krula, E., Mironov, A., McManis, J., Roberts, G., Rosenheim, B. E., Christner, B. C., Kasic, K., Fricker, H. A., Lyons, W. B., Barker, J., Bowling, M., Collins, B., Davis, C., Gagnon, A., Gardner, C., Gustafson, C., Kim, O-S., Li, W., Michaud, A., Patterson, M. O., Tranter, M., Ryan Venturelli, R., Trista Vick-Majors, T., & Elsworth, C. Scientific access into Mercer Subglacial Lake: scientific objectives, drilling operations and initial observations. Annals of Glaciology, 62(85–86), (2021): 340–352, https://doi.org/10.1017/aog.2021.10.
    Description: The Subglacial Antarctic Lakes Scientific Access (SALSA) Project accessed Mercer Subglacial Lake using environmentally clean hot-water drilling to examine interactions among ice, water, sediment, rock, microbes and carbon reservoirs within the lake water column and underlying sediments. A ~0.4 m diameter borehole was melted through 1087 m of ice and maintained over ~10 days, allowing observation of ice properties and collection of water and sediment with various tools. Over this period, SALSA collected: 60 L of lake water and 10 L of deep borehole water; microbes 〉0.2 μm in diameter from in situ filtration of ~100 L of lake water; 10 multicores 0.32–0.49 m long; 1.0 and 1.76 m long gravity cores; three conductivity–temperature–depth profiles of borehole and lake water; five discrete depth current meter measurements in the lake and images of ice, the lake water–ice interface and lake sediments. Temperature and conductivity data showed the hydrodynamic character of water mixing between the borehole and lake after entry. Models simulating melting of the ~6 m thick basal accreted ice layer imply that debris fall-out through the ~15 m water column to the lake sediments from borehole melting had little effect on the stratigraphy of surficial sediment cores.
    Description: This material is based upon work supported by the US National Science Foundation, Section for Antarctic Sciences, Antarctic Integrated System Science program as part of the interdisciplinary (Subglacial Antarctic Lakes Scientific Access (SALSA): Integrated study of carbon cycling in hydrologically-active subglacial environments) project (NSF-OPP 1543537, 1543396, 1543405, 1543453 and 1543441). Ok-Sun Kim was funded by the Korean Polar Research Institute. We are particularly thankful to the SALSA traverse personnel for crucial technical and logistical support. The United States Antarctic Program enabled our fieldwork; the New York Air National Guard and Kenn Borek Air provided air support; UNAVCO provided geodetic instrument support. Hot water drilling activities, including repair and upgrade modifications of the WISSARD hot water drill system, for the SALSA project were supported by a subaward from the Ice Drilling Program of Dartmouth College (NSF-PLR 1327315) to the University of Nebraska-Lincoln. J. Lawrence assisted with manuscript preparation. Finally, we are grateful to C. Dean, the SALSA Project Manager, and R. Ricards, SALSA Project Coordinator at McMurdo Station, for their organizational skills, and B. Huber of Lamont-Doherty Earth Observatory for providing the SBE39 PT sensors and the Nortek Aquadopp current meter and assisting with interpretation of the data. B. Huber also provided helpful input on programing and calibrating the SBE19PlusV2 6112 CTD.
    Keywords: Antarctic glaciology ; Basal ice ; Biogeochemistry ; Glacial sedimentology ; Subglacial lakes
    Repository Name: Woods Hole Open Access Server
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  • 5
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    PANGAEA
    In:  EPIC3INTERACT Webinar on Data Repositories, Online, 2022-05-12Bremerhaven, PANGAEA
    Publication Date: 2022-10-04
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 6
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    Cambridge University Press
    In:  EPIC3Climate Change 2022: Impacts, adaptation and vulnerability. Contribution of the WGII to the 6th assessment report of the intergovernmental panel on climate change, ,, IPCC AR6 WGII, https://www.ipcc.ch/report/ar6/wg2/downloads/report/IPCC_AR6_WGII_FinalDraft_Chapter03.pdf, Cambridge University Press
    Publication Date: 2022-08-23
    Repository Name: EPIC Alfred Wegener Institut
    Type: Inbook , NonPeerReviewed
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  • 7
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    Cambridge University Press
    In:  EPIC3Climate Change 2022: Impacts, adaptation and vulnerability. Contribution of the WGII to the 6th assessment report of the intergovernmental panel on climate change, IPCC AR6 WGII, Climate Change 2022: Impacts, adaptation and vulnerability. Contribution of the WGII to the 6th assessment report of the intergovernmental panel on climate change, IPCC AR6 WGII, https://www.ipcc.ch/report/ar6/wg2/downloads/report/IPCC_AR6_WGII_FinalDraft_Chapter02.pdf, Cambridge University Press, 5 p., pp. 22-26
    Publication Date: 2022-06-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: Inbook , peerRev
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  • 8
    Publication Date: 2022-07-20
    Description: © The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Tan, S., Pratt, L. J., Voet, G., Cusack, J. M., Helfrich, K. R., Alford, M. H., Girton, J. B., & Carter, G. S. Hydraulic control of flow in a multi-passage system connecting two basins. Journal of Fluid Mechanics, 940, (2022): A8, https://doi.org/10.1017/jfm.2022.212.
    Description: When a fluid stream in a conduit splits in order to pass around an obstruction, it is possible that one branch will be critically controlled while the other remains not so. This is apparently the situation in Pacific Ocean abyssal circulation, where most of the northward flow of Antarctic bottom water passes through the Samoan Passage, where it is hydraulically controlled, while the remainder is diverted around the Manihiki Plateau and is not controlled. These observations raise a number of questions concerning the dynamics necessary to support such a regime in the steady state, the nature of upstream influence and the usefulness of rotating hydraulic theory to predict the partitioning of volume transport between the two paths, which assumes the controlled branch is inviscid. Through the use of a theory for constant potential vorticity flow and accompanying numerical model, we show that a steady-state regime similar to what is observed is dynamically possible provided that sufficient bottom friction is present in the uncontrolled branch. In this case, the upstream influence that typically exists for rotating channel flow is transformed into influence into how the flow is partitioned. As a result, the partitioning of volume flux can still be reasonably well predicted with an inviscid theory that exploits the lack of upstream influence.
    Description: This work was supported by the National Science Foundation under grants OCE-1029268, OCE-1029483, OCE-1657264, OCE-1657795, OCE-1657870 and OCE-1658027.
    Repository Name: Woods Hole Open Access Server
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  • 9
    Publication Date: 2022-10-26
    Description: © The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Xu, L., Roberts, M., Elder, K., Hansman, R., Gagnon, A., & Kurz, M. Radiocarbon in dissolved organic carbon by UV oxidation: an update of procedures and blank characterization at NOSAMS. Radiocarbon, 64(1), (2022): 195-199, https://doi.org/10.1017/rdc.2022.4.
    Description: This note describes improvements of UV oxidation method that is used to measure carbon isotopes of dissolved organic carbon (DOC) at the National Ocean Sciences Accelerator Mass Spectrometry Facility (NOSAMS). The procedural blank is reduced to 2.6 ± 0.6 μg C, with Fm of 0.42 ± 0.10 and δ13C of –28.43 ± 1.19‰. The throughput is improved from one sample per day to two samples per day.
    Description: We gratefully acknowledge support from the U.S. National Science Foundation, via NSF-OCE-1755125.
    Keywords: Blank ; Dissolved organic carbon ; Radiocarbon ; UV-oxidation
    Repository Name: Woods Hole Open Access Server
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  • 10
    Publication Date: 2022-09-22
    Description: This dataset contains PISM simulation results of the Antarctic Ice Sheet based on code release v1.0-paleo-ensemble (https://doi.org/10.5281/zenodo.3574033). PISM is the open-source Parallel Ice Sheet Model developed mainly at UAF, USA and PIK, Germany. See documentation in https://www.pism.io. These are additional netCDF data from the same ensemble simulations already stored in doi:10.1594/PANGAEA.909728. 1) 1000-year snapshots since 125000 years before present, of ice thickness, bed topography, change in bed topography, floating/grounded mask, surface elevation, basal melt rate and vertically averaged velocity magnitude (SIA+SSA) (16GB) 2) 5000-year snapshots since 125000 years before present, SSA velocity components in x and y direction (8GB)
    Type: info:eu-repo/semantics/workingPaper
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  • 11
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    Cambridge University Press
    In:  EPIC3Antarctic Science, Cambridge University Press, 33(6), pp. 575-595, ISSN: 0954-1020
    Publication Date: 2022-01-13
    Description: The waters along the West Antarctic Peninsula (WAP) have experienced warming and increased freshwater inputs from melting sea ice and glaciers in recent decades. Challenges exist in understanding the consequences of these changes on the inorganic carbon system in this ecologically important and highly productive ecosystem. Distributions of dissolved inorganic carbon (CT), total alkalinity (AT) and nutrients revealed key physical, biological and biogeochemical controls of the calcium carbonate saturation state (Ωaragonite) in different water masses across the WAP shelf during the summer. Biological production in spring and summer dominated changes in surface water Ωaragonite (ΔΩaragonite up to +1.39; ∼90%) relative to underlying Winter Water. Sea-ice and glacial meltwater constituted a minor source of AT that increased surface water Ωaragonite (ΔΩaragonite up to +0.07; ∼13%). Remineralization of organic matter and an influx of carbon-rich brines led to cross-shelf decreases in Ωaragonite in Winter Water and Circumpolar Deep Water. A strong biological carbon pump over the shelf created Ωaragonite oversaturation in surface waters and suppression of Ωaragonite in subsurface waters. Undersaturation of aragonite occurred at 〈 ∼1000 m. Ongoing changes along the WAP will impact the biologically driven and meltwater-driven processes that influence the vulnerability of shelf waters to calcium carbonate undersaturation in the future.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev , info:eu-repo/semantics/article
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  • 12
    Publication Date: 2022-10-26
    Description: © The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Baker, M. G., Aster, R. C., Wiens, D. A., Nyblade, A., Bromirski, P. D., Gerstoft, P., & Stephen, R. A. Teleseismic earthquake wavefields observed on the Ross Ice Shelf. Journal of Glaciology, 67(261), (2021): 58-74, https://doi.org/10.1017/jog.2020.83.
    Description: Observations of teleseismic earthquakes using broadband seismometers on the Ross Ice Shelf (RIS) must contend with environmental and structural processes that do not exist for land-sited seismometers. Important considerations are: (1) a broadband, multi-mode ambient wavefield excited by ocean gravity wave interactions with the ice shelf; (2) body wave reverberations produced by seismic impedance contrasts at the ice/water and water/seafloor interfaces and (3) decoupling of the solid Earth horizontal wavefield by the sub-shelf water column. We analyze seasonal and geographic variations in signal-to-noise ratios for teleseismic P-wave (0.5–2.0 s), S-wave (10–15 s) and surface wave (13–25 s) arrivals relative to the RIS noise field. We use ice and water layer reverberations generated by teleseismic P-waves to accurately estimate the sub-station thicknesses of these layers. We present observations consistent with the theoretically predicted transition of the water column from compressible to incompressible mechanics, relevant for vertically incident solid Earth waves with periods longer than 3 s. Finally, we observe symmetric-mode Lamb waves generated by teleseismic S-waves incident on the grounding zones. Despite their complexity, we conclude that teleseismic coda can be utilized for passive imaging of sub-shelf Earth structure, although longer deployments relative to conventional land-sited seismometers will be necessary to acquire adequate data.
    Description: This research was supported by NSF grants PLR-1142518, 1141916, 1142126, 1246151, 1246416 and OPP-1744852 and 1744856.
    Keywords: Glacier geophysics ; Ice shelves ; Seismology
    Repository Name: Woods Hole Open Access Server
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  • 13
    Publication Date: 2022-05-27
    Description: © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Tison, J.-L., Maksym, T., Fraser, A. D., Corkill, M., Kimura, N., Nosaka, Y., Nomura, D., Vancoppenolle, M., Ackley, S., Stammerjohn, S., Wauthy, S., Van der Linden, F., Carnat, G., Sapart, C., de Jong, J., Fripiat, F., & Delille, B. Physical and biological properties of early winter Antarctic sea ice in the Ross Sea. Annals of Glaciology, 61(83), (2020): 241–259, https://doi.org/10.1017/aog.2020.43.
    Description: This work presents the results of physical and biological investigations at 27 biogeochemical stations of early winter sea ice in the Ross Sea during the 2017 PIPERS cruise. Only two similar cruises occurred in the past, in 1995 and 1998. The year 2017 was a specific year, in that ice growth in the Central Ross Sea was considerably delayed, compared to previous years. These conditions resulted in lower ice thicknesses and Chl-a burdens, as compared to those observed during the previous cruises. It also resulted in a different structure of the sympagic algal community, unusually dominated by Phaeocystis rather than diatoms. Compared to autumn-winter sea ice in the Weddell Sea (AWECS cruise), the 2017 Ross Sea pack ice displayed similar thickness distribution, but much lower snow cover and therefore nearly no flooding conditions. It is shown that contrasted dynamics of autumnal-winter sea-ice growth between the Weddell Sea and the Ross Sea impacted the development of the sympagic community. Mean/median ice Chl-a concentrations were 3–5 times lower at PIPERS, and the community status there appeared to be more mature (decaying?), based on Phaeopigments/Chl-a ratios. These contrasts are discussed in the light of temporal and spatial differences between the two cruises.
    Description: S. Stammerjohn was supported by the PIPERS and LTER Programs of the U.S. National Science Foundation, ANT-1341606 (S. Stammerjohn and J. Cassano, U Colorado) and ANT-0823101 (H. Ducklow, LDEO/Columbia University), respectively. Steve Ackley (UTSA) was supported by the PIPERS program of the U.S. National Science Foundation ANT-1341717 and by NASA Grant 80NSSC19M0194 to the Center for Adv. Meas. in Extreme Environments at UTSA.Ted Maksym (WHOI) was supported by the PIPERS program of the U.S. National Science Foundation ANT-1341513. This research was supported by the Belgian F.R.S-FNRS (project ISOGGAP and IODIne, contract T.0268.16 and J.0262.17, respectively). Fanny Van der Linden, Sarah Wauthy, Gauthier Carnat, Célia Sapart and Bruno Delille are PhD students, postdoctoral researchers and research associate, respectively, of the Belgian F.R.S.-FNRS. This work was also supported by the Australian Government's Cooperative Research Centre program through the Antarctic Climate & Ecosystems Cooperative Research Centre, and by the Australian Research Council's Special Research Initiative for Antarctic Gateway Partnership (Project ID SR140300001). Daiki Nomura was supported by grants from the Japan Society for the Promotion of Science (#17H04715) and the National Institute for Polar Research through Project Research KP-303 (ROBOTICA) and #28-14.
    Keywords: Antarctic glaciology ; biogeochemistry ; sea ice
    Repository Name: Woods Hole Open Access Server
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  • 14
    Publication Date: 2022-10-26
    Description: © The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in [Schiller, C. M., Whitlock, C., Elder, K. L., Iverson, N. A., & Abbott, M. B. Erroneously old radiocarbon ages from terrestrial pollen concentrates in Yellowstone Lake, Wyoming, USA. Radiocarbon, 63(1), (2021): 321-342, https://doi.org/10.1017/RDC.2020.118.
    Description: Accelerator mass spectrometry (AMS) dating of pollen concentrates is often used in lake sediment records where large, terrestrial plant remains are unavailable. Ages produced from chemically concentrated pollen as well as manually picked Pinaceae grains in Yellowstone Lake (Wyoming) sediments were consistently 1700–4300 cal years older than ages established by terrestrial plant remains, tephrochronology, and the age of the sediment-water interface. Previous studies have successfully utilized the same laboratory space and methods, suggesting the source of old-carbon contamination is specific to these samples. Manually picking pollen grains precludes admixture of non-pollen materials. Furthermore, no clear source of old pollen grains occurs on the deglaciated landscape, making reworking of old pollen grains unlikely. High volumes of CO2 are degassed in the Yellowstone Caldera, potentially introducing old carbon to pollen. While uptake of old CO2 through photosynthesis is minor (F14C approximately 0.99), old-carbon contamination may still take place in the water column or in surficial lake sediments. It remains unclear, however, what mechanism allows for the erroneous ages of highly refractory pollen grains while terrestrial plant remains were unaffected. In the absence of a satisfactory explanation for erroneously old radiocarbon ages from pollen concentrates, we propose steps for further study.
    Description: This research was supported by NSF Grant No. 1515353 to C. Whitlock and sampling in Yellowstone National Park was conducted under permits YELL-SCI-0009 and YELL-SCI-5054.
    Keywords: AMS dating ; Chronology ; Contamination ; Paleoecology ; Pine
    Repository Name: Woods Hole Open Access Server
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  • 15
    Publication Date: 2022-10-26
    Description: © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Hughen, K. A., & Heaton, T. J. Updated Cariaco Basin C-14 calibration dataset from 0-60 cal kyr BP. Radiocarbon, 62(4), (2020): 1001-1043, doi:10.1017/RDC.2020.53.
    Description: We present new updates to the calendar and radiocarbon (14C) chronologies for the Cariaco Basin, Venezuela. Calendar ages were generated by tuning abrupt climate shifts in Cariaco Basin sediments to those in speleothems from Hulu Cave. After the original Cariaco-Hulu calendar age model was published, Hulu Cave δ18O records have been augmented with increased temporal resolution and a greater number of U/Th dates. These updated Hulu Cave records provide increased accuracy as well as precision in the final Cariaco calendar age model. The depth scale for the Ocean Drilling Program Site 1002D sediment core, the primary source of samples for 14C dating, has been corrected to account for missing sediment from a core break, eliminating age-depth anomalies that afflicted the earlier calendar age models. Individual 14C dates for the Cariaco Basin remain unchanged from previous papers, although detailed comparisons of the Cariaco calibration dataset to those from Hulu Cave and Lake Suigetsu suggest that the Cariaco marine reservoir age may have shifted systematically during the past. We describe these recent changes to the Cariaco datasets and provide the data in a comprehensive format that will facilitate use by the community.
    Description: K.A. Hughen was supported by funds from U.S. NSF grant #OCE-1657191, and by the Investment in Science Fund at WHOI. T.J. Heaton is supported by a Leverhulme Trust Fellowship RF-2019-140\9, “Improving the Measurement of Time Using Radiocarbon”.
    Keywords: Calibration ; Climate ; Radiocarbon
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  • 16
    Publication Date: 2022-10-20
    Description: © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Ackley, S. F., Perovich, D. K., Maksym, T., Weissling, B., & Xie, H. Surface flooding of Antarctic summer sea ice. Annals of Glaciology, 61(82), (2020): 117-126, doi:10.1017/aog.2020.22.
    Description: The surface flooding of Antarctic sea ice in summer covers 50% or more of the sea-ice area in the major summer ice packs, the western Weddell and the Bellingshausen-Amundsen Seas. Two CRREL ice mass-balance buoys were deployed on the Amundsen Sea pack in late December 2010 from the icebreaker Oden, bridging the summer period (January–February 2011). Temperature records from thermistors embedded vertically in the snow and ice showed progressive increases in the depth of the flooded layer (up to 0.3–0.35 m) on the ice cover during January and February. While the snow depth was relatively unchanged from accumulation (〈10 cm), ice thickness decreased by up to a meter from bottom melting during this period. Contemporaneous with the high bottom melting, under-ice water temperatures up to 1°C above the freezing point were found. The high temperature arises from solar heating of the upper mixed layer which can occur when ice concentration in the local area falls and lower albedo ocean water is exposed to radiative heating. The higher proportion of snow ice found in the Amundsen Sea pack ice therefore results from both winter snowfall and summer ice bottom melt found here that can lead to extensive surface flooding.
    Description: This work was supported by the National Science Foundation grant to UTSA, ANT-0839053-Sea Ice System in Antarctic Summer (S.F. Ackley, H. Xie and B. Weissling), and to WHOI, ANT-1341513 (T. Maksym), and by the NASA Center for Advanced Measurements in Extreme Environments or NASA-CAMEE at UTSA, NASA #80NSSC19M0194 (S.F. Ackley, H. Xie, B.Weissling).
    Keywords: Ice/ocean interactions ; Sea ice ; Sea-ice growth and decay ; Snow/ice surface processes
    Repository Name: Woods Hole Open Access Server
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  • 17
    Publication Date: 2022-10-26
    Description: © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Reimer, P. J., Austin, W. E. N., Bard, E., Bayliss, A., Blackwell, P. G., Ramsey, C. B., Butzin, M., Cheng, H., Edwards, R. L., Friedrich, M., Grootes, P. M., Guilderson, T. P., Hajdas, I., Heaton, T. J., Hogg, A. G., Hughen, K. A., Kromer, B., Manning, S. W., Muscheler, R., Palmer, J. G., Pearson, C., van der Plicht, J., Reimer, R. W., Richards, D. A., Scott, E. M., Southon, J. R., Turney, C. S. M., Wacker, L., Adolphi, F., Buentgen, U., Capano, M., Fahrni, S. M., Fogtmann-Schulz, A., Friedrich, R., Koehler, P., Kudsk, S., Miyake, F., Olsen, J., Reinig, F., Sakamoto, M., Sookdeo, A., & Talamo, S. The Intcal20 Northern Hemisphere radiocarbon age calibration curve (0-55 cal kBP). Radiocarbon, 62(4), (2020): 725-757, doi:10.1017/RDC.2020.41.
    Description: Radiocarbon (14C) ages cannot provide absolutely dated chronologies for archaeological or paleoenvironmental studies directly but must be converted to calendar age equivalents using a calibration curve compensating for fluctuations in atmospheric 14C concentration. Although calibration curves are constructed from independently dated archives, they invariably require revision as new data become available and our understanding of the Earth system improves. In this volume the international 14C calibration curves for both the Northern and Southern Hemispheres, as well as for the ocean surface layer, have been updated to include a wealth of new data and extended to 55,000 cal BP. Based on tree rings, IntCal20 now extends as a fully atmospheric record to ca. 13,900 cal BP. For the older part of the timescale, IntCal20 comprises statistically integrated evidence from floating tree-ring chronologies, lacustrine and marine sediments, speleothems, and corals. We utilized improved evaluation of the timescales and location variable 14C offsets from the atmosphere (reservoir age, dead carbon fraction) for each dataset. New statistical methods have refined the structure of the calibration curves while maintaining a robust treatment of uncertainties in the 14C ages, the calendar ages and other corrections. The inclusion of modeled marine reservoir ages derived from a three-dimensional ocean circulation model has allowed us to apply more appropriate reservoir corrections to the marine 14C data rather than the previous use of constant regional offsets from the atmosphere. Here we provide an overview of the new and revised datasets and the associated methods used for the construction of the IntCal20 curve and explore potential regional offsets for tree-ring data. We discuss the main differences with respect to the previous calibration curve, IntCal13, and some of the implications for archaeology and geosciences ranging from the recent past to the time of the extinction of the Neanderthals.
    Description: We would like to thank the National Natural Science Foundation of China grants NSFC 41888101 and NSFC 41731174, the 111 program of China (D19002), U.S. NSF Grant 1702816, and the Malcolm H. Wiener Foundation for support for research that contributed to the IntCal20 curve. The work on the Swiss and German YD trees was funded by the German Science foundation and the Swiss National Foundation (grant number: 200021L_157187). The operation in Aix-en-Provence is funded by the EQUIPEX ASTER-CEREGE, the Collège de France and the ANR project CARBOTRYDH (to EB). The work on the correlation of tree ring 14C with ice core 10Be was partially supported by the Swedish Research Council and the Knut and Alice Wallenberg foundation. M. Butzin was supported by the German Federal Ministry of Education and Research (BMBF) as Research for Sustainable Development (FONA; http://www.fona.de) through the PalMod project (grant number: 01LP1505B). S. Talamo and M. Friedrich are funded by the European Research Council under the European Union’s Horizon 2020 Research and Innovation Programme (grant agreement No. 803147-RESOLUTION, awarded to ST). CA. Turney would like to acknowledge support of the Australian Research Council (FL100100195 and DP170104665). P. Reimer and W. Austin acknowledge the support of the UKRI Natural Environment Research Council (Grant NE/M004619/1). T.J. Heaton is supported by a Leverhulme Trust Fellowship RF-2019-140\9. Other datasets and the IntCal20 database were created without external support through internal funding by the respective laboratories. We also would like to thank various institutions that provided funding or facilities for meetings.
    Keywords: Calibration curve ; Radiocarbon ; IntCal20
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  • 18
    Publication Date: 2022-05-26
    Description: © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Heaton, T. J., Koehler, P., Butzin, M., Bard, E., Reimer, R. W., Austin, W. E. N., Ramsey, C. B., Grootes, P. M., Hughen, K. A., Kromer, B., Reimer, P. J., Adkins, J., Burke, A., Cook, M. S., Olsen, J., & Skinner, L. C. Marine20-the marine radiocarbon age calibration curve (0-55,000 cal BP). Radiocarbon, 62(4), (2020): 779-820, doi:10.1017/RDC.2020.68.
    Description: The concentration of radiocarbon (14C) differs between ocean and atmosphere. Radiocarbon determinations from samples which obtained their 14C in the marine environment therefore need a marine-specific calibration curve and cannot be calibrated directly against the atmospheric-based IntCal20 curve. This paper presents Marine20, an update to the internationally agreed marine radiocarbon age calibration curve that provides a non-polar global-average marine record of radiocarbon from 0–55 cal kBP and serves as a baseline for regional oceanic variation. Marine20 is intended for calibration of marine radiocarbon samples from non-polar regions; it is not suitable for calibration in polar regions where variability in sea ice extent, ocean upwelling and air-sea gas exchange may have caused larger changes to concentrations of marine radiocarbon. The Marine20 curve is based upon 500 simulations with an ocean/atmosphere/biosphere box-model of the global carbon cycle that has been forced by posterior realizations of our Northern Hemispheric atmospheric IntCal20 14C curve and reconstructed changes in CO2 obtained from ice core data. These forcings enable us to incorporate carbon cycle dynamics and temporal changes in the atmospheric 14C level. The box-model simulations of the global-average marine radiocarbon reservoir age are similar to those of a more complex three-dimensional ocean general circulation model. However, simplicity and speed of the box model allow us to use a Monte Carlo approach to rigorously propagate the uncertainty in both the historic concentration of atmospheric 14C and other key parameters of the carbon cycle through to our final Marine20 calibration curve. This robust propagation of uncertainty is fundamental to providing reliable precision for the radiocarbon age calibration of marine based samples. We make a first step towards deconvolving the contributions of different processes to the total uncertainty; discuss the main differences of Marine20 from the previous age calibration curve Marine13; and identify the limitations of our approach together with key areas for further work. The updated values for ΔR, the regional marine radiocarbon reservoir age corrections required to calibrate against Marine20, can be found at the data base http://calib.org/marine/.
    Description: We would like to thank Jeremy Oakley and Richard Bintanja for informative discussions during the development of this work. T.J. Heaton is supported by a Leverhulme Trust Fellowship RF-2019-140\9, “Improving the Measurement of Time Using Radiocarbon”. M Butzin is supported by the German Federal Ministry of Education and Research (BMBF), as Research for Sustainability initiative (FONA); www.fona.de through the PalMod project (grant numbers: 01LP1505B, 01LP1919A). E. Bard is supported by EQUIPEX ASTER-CEREGE and ANR CARBOTRYDH. Meetings of the IntCal Marine Focus group have been supported by Collège de France. Data are available on the PANGAEA database at doi:10.159/ANGAEA.914500.
    Keywords: Bayesian modeling ; calibration ; carbon cycle ; computer model ; marine environment
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  • 19
    Publication Date: 2022-10-26
    Description: © The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Roberts, Mark L., Elder, Kathryn L., Jenkins, William J., Gagnon, Alan R., Xu, Li, Hlavenka, Joshua D., & Longworth, Brett E. C-14 Blank Corrections for 25-100 mu G samples at the National Ocean Sciences AMS Laboratory. Radiocarbon, 61(5), (2019): 1403-1411, Doi: 10.1017/RDC.2019.74.
    Description: Replicate radiocarbon (14C) measurements of organic and inorganic control samples, with known Fraction Modern values in the range Fm = 0–1.5 and mass range 6 μg–2 mg carbon, are used to determine both the mass and radiocarbon content of the blank carbon introduced during sample processing and measurement in our laboratory. These data are used to model, separately for organic and inorganic samples, the blank contribution and subsequently “blank correct” measured unknowns in the mass range 25–100 μg. Data, formulas, and an assessment of the precision and accuracy of the blank correction are presented.
    Description: This work is supported by a Cooperative Agreement (OCE-1755125) with the U.S. National Science Foundation.
    Keywords: AMS ; AMS dating ; Blank corrections
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  • 20
    Publication Date: 2022-10-26
    Description: © The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Baker, M. G., Aster, R. C., Anthony, R. E., Chaput, J., Wiens, D. A., Nyblade, A., Bromirski, P. D., Gerstoft, P., & Stephen, R. A. Seasonal and spatial variations in the ocean-coupled ambient wavefield of the Ross Ice Shelf. Journal of Glaciology, 65(254), (2019): 912-925, doi:10.1017/jog.2019.64.
    Description: The Ross Ice Shelf (RIS) is host to a broadband, multimode seismic wavefield that is excited in response to atmospheric, oceanic and solid Earth source processes. A 34-station broadband seismographic network installed on the RIS from late 2014 through early 2017 produced continuous vibrational observations of Earth's largest ice shelf at both floating and grounded locations. We characterize temporal and spatial variations in broadband ambient wavefield power, with a focus on period bands associated with primary (10–20 s) and secondary (5–10 s) microseism signals, and an oceanic source process near the ice front (0.4–4.0 s). Horizontal component signals on floating stations overwhelmingly reflect oceanic excitations year-round due to near-complete isolation from solid Earth shear waves. The spectrum at all periods is shown to be strongly modulated by the concentration of sea ice near the ice shelf front. Contiguous and extensive sea ice damps ocean wave coupling sufficiently so that wintertime background levels can approach or surpass those of land-sited stations in Antarctica.
    Description: This research was supported by NSF grants PLR-1142518, 1141916, 1142126, 1246151 and 1246416. JC was additionally supported by Yates funds in the Colorado State University Department of Mathematics. PDB also received support from the California Department of Parks and Recreation, Division of Boating and Waterways under contract 11-106-107. We thank Reinhard Flick and Patrick Shore for their support during field work, Tom Bolmer in locating stations and preparing maps, and the US Antarctic Program for logistical support. The seismic instruments were provided by the Incorporated Research Institutions for Seismology (IRIS) through the PASSCAL Instrument Center at New Mexico Tech. Data collected are available through the IRIS Data Management Center under RIS and DRIS network code XH. The PSD-PDFs presented in this study were processed with the IRIS Noise Tool Kit (Bahavar and others, 2013). The facilities of the IRIS Consortium are supported by the National Science Foundation under Cooperative Agreement EAR-1261681 and the DOE National Nuclear Security Administration. The authors appreciate the support of the University of Wisconsin-Madison Automatic Weather Station Program for the data set, data display and information; funded under NSF grant number ANT-1543305. The Ross Ice Shelf profiles were generated using the Antarctic Mapping Tools (Greene and others, 2017). Regional maps were generated with the Generic Mapping Tools (Wessel and Smith, 1998). Topography and bathymetry data for all maps in this study were sourced from the National Geophysical Data Center ETOPO1 Global Relief Model (doi:10.7289/V5C8276M). We thank two anonymous reviewers for suggestions on the scope and organization of this paper.
    Keywords: Antarctic glaciology ; Ice shelves ; Seismology
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  • 21
    Publication Date: 2022-10-21
    Description: © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Ackley, S. F., Stammerjohn, S., Maksym, T., Smith, M., Cassano, J., Guest, P., Tison, J., Delille, B., Loose, B., Sedwick, P., DePace, L., Roach, L., & Parno, J. Sea-ice production and air/ice/ocean/biogeochemistry interactions in the Ross Sea during the PIPERS 2017 autumn field campaign. Annals of Glaciology, 61(82), (2020): 181-195, doi:10.1017/aog.2020.31.
    Description: The Ross Sea is known for showing the greatest sea-ice increase, as observed globally, particularly from 1979 to 2015. However, corresponding changes in sea-ice thickness and production in the Ross Sea are not known, nor how these changes have impacted water masses, carbon fluxes, biogeochemical processes and availability of micronutrients. The PIPERS project sought to address these questions during an autumn ship campaign in 2017 and two spring airborne campaigns in 2016 and 2017. PIPERS used a multidisciplinary approach of manned and autonomous platforms to study the coupled air/ice/ocean/biogeochemical interactions during autumn and related those to spring conditions. Unexpectedly, the Ross Sea experienced record low sea ice in spring 2016 and autumn 2017. The delayed ice advance in 2017 contributed to (1) increased ice production and export in coastal polynyas, (2) thinner snow and ice cover in the central pack, (3) lower sea-ice Chl-a burdens and differences in sympagic communities, (4) sustained ocean heat flux delaying ice thickening and (5) a melting, anomalously southward ice edge persisting into winter. Despite these impacts, airborne observations in spring 2017 suggest that winter ice production over the continental shelf was likely not anomalous.
    Description: NSF supported PIPERS award numbers: ANT-1341717 (S.F. Ackley, UTSA); ANT-1341513 (E. Maksym, WHOI); ANT-1341606 (S. Stammerjohn and J. Cassano, U Colorado); ANT-1341725 (P. Guest, NPS). P. Sedwick was supported by NSF ANT-1543483. S.F. Ackley was also supported by NASA Grant 80NSSC19M0194 to the Center for Advanced Measurements in Extreme Environments at UTSA. S. Stammerjohn was also supported by the LTER Program under NFS award number ANT-0823101 (H. Ducklow, LDEO/Columbia University). Additional support was by the Belgian F.R.S-FNRS (project ISOGGAP and IODIne, contract T.0268.16 and J.0262.17, respectively). Bruno Delille is a research associate of the F.R.S.-FNRS. Terra-Sar-X quicklook imagery was coordinated by Kathrin Hoeppner at DLR, and Andy Archer (with the Antarctic Support Contractor) provided selected (cloud-free) MODIS scenes and daily maps of AMSR2 sea-ice concentration.
    Keywords: Atmosphere/ice/ocean interactions ; Ice/ocean interactions ; Sea ice ; Sea-ice growth and decay
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    In:  EPIC3Abschlußbericht DFG-Projekt Sp296/1., Bremerhaven, PANGAEA
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    In:  EPIC3AWI/Polarstern, cruise report ANT-VIII/3., Bremerhaven, PANGAEA
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    In:  EPIC3Diploma Thesis, Institut und Museum für Geologie und Paläontologie der Georg-August-Universität zu Göttingen, Bremerhaven, PANGAEA, 126 p.
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    In:  EPIC3Efficiancy of phospholipid analysis in determining microbial biomass in sediments. Applied and Environmental Microbiology, 55, Bremerhaven, PANGAEA, 2888, 2 p.
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    In:  EPIC3Spectral Mapping Project (Mapping Species Variability in Global Climate) (SPECMAP)., Bremerhaven, PANGAEA
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    In:  EPIC3Institute of Oceanographic Sciences Deacon Laboratory, Cruise Report, No. 205, Bremerhaven, PANGAEA, 34 p.
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 51
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    PANGAEA
    In:  EPIC3DSDP (1989): Data from the Deep Sea Drilling Project. Sediment, hard rock and reference files, National Geophysical Data Center, National Environmental Satellite, Data and Information Service, National Oceanic and Atmospheric Administration, U.S. Departme, Bremerhaven, PANGAEA
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 52
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    PANGAEA
    In:  P.P. Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow
    Publication Date: 2023-07-09
    Keywords: Actinocyclus ehrenbergii; Actinoptychus bipunctatus; Actinoptychus undulatus; Akademik Mstislav Keldysh; AMK7; AMK7-699; AMK7-700; AMK7-705; AMK7-707; AMK7-718; AMK7-720; AMK7-728; AMK7-740; AMK7-761; AMK7-763; AMK7-764; AMK7-765; AMK7-773; AMK7-775; AMK7-779; AMK7-781; AMK7-798; AMK7-814; AMK7-815; AMK7-816; AMK7-822; AMK7-829; AMK7-841; AMK7-847; AMK7-852; AMK7-854; Archive of Ocean Data; ARCOD; Biddulphia alternans; Biddulphia reticulata trigona; Biddulphia tuomeyi; Coscinodiscus crenulatus; Coscinodiscus nodulifer; Coscinodiscus pseudoincertus; Coscinodiscus radiatus; Coscinodiscus sp.; DEPTH, sediment/rock; Dictyocha fibula; Diploneis bombus; Diploneis smithii; Elevation of event; Ethmodiscus rex; Event label; Gulf of Aden; Hemidiscus cuneiformis; Latitude of event; Longitude of event; Melosira granulata; Microscopy; MULT; Multiple investigations; Navicula hennedyi; Nitzschia marina; Paralia sulcata; Planktoniella sol; Pseudoeunotia doliolus; Rhizosolenia bergonii; Rhizosolenia sp.; Roperia tesselata; Roperia tesselata ovata; Stephanodiscus astraea; Stephanopyxis sp.; Stephanopyxis turris; Thalassionema nitzschioides; Thalassiosira lineata; Thalassiosira oestrupii; Thalassiosira sp.
    Type: Dataset
    Format: text/tab-separated-values, 1255 data points
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  • 53
    Publication Date: 2023-07-07
    Keywords: 14C uptake; Akademik Mstislav Keldysh; AMK7; AMK7-690; AMK7-780; AMK7-814; AMK7-843; AMK7-860; AMK7-863; AMK7-866; Archive of Ocean Data; ARCOD; Dark assimilation rate, carbon dioxide, sediment; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Elevation of event; Event label; Gulf of Aden; Latitude of event; Longitude of event; MULT; Multiple investigations; Oxidation reduction (RedOx) potential; Potentiometric
    Type: Dataset
    Format: text/tab-separated-values, 55 data points
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  • 54
    Publication Date: 2023-07-10
    Keywords: 81-552A; 81-553A; Antimony; Barium; Caesium; Cerium; Chromium; Cobalt; Deep Sea Drilling Project; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Europium; Event label; Glomar Challenger; Hafnium; Instrumental neutron activation analysis (INAA); Lanthanum; Leg81; Neodymium; Nickel; North Atlantic/PLATEAU; Rubidium; Samarium; Sample code/label; Sample code/label 2; Scandium; Strontium; Tantalum; Terbium; Thorium; Uranium; Ytterbium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
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  • 55
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    PANGAEA
    In:  Institute of Geological Sciences, National Academy of Sciences of Ukraine
    Publication Date: 2023-07-10
    Keywords: Analysis; Archive of Ocean Data; ARCOD; Atlantic Ocean; AV28_4155/A; AV28_4155/C; Calculated; Cobalt; Dredge; DRG; Elevation of event; Elevation of event 2; Event label; Iron; Iron oxide, Fe2O3; Iron oxide, FeO; Latitude of event; Latitude of event 2; Longitude of event; Longitude of event 2; Manganese; Manganese/Iron ratio; Manganese dioxide; Manganese oxide; Nickel; Phosphorus; Sample position; Wet chemistry
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
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  • 56
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    PANGAEA
    In:  Institute of Geological Sciences, National Academy of Sciences of Ukraine
    Publication Date: 2023-07-10
    Keywords: Analysis; Archive of Ocean Data; ARCOD; Atlantic Ocean; AV28_4074; AV28_4077; Calculated; Cobalt; Elevation of event; Event label; GC; Grab; GRAB; Gravity corer; Iron; Latitude of event; Longitude of event; Manganese; Manganese/Iron ratio; Manganese dioxide; Manganese oxide; Nickel; Phosphorus; Sample position; Wet chemistry
    Type: Dataset
    Format: text/tab-separated-values, 70 data points
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  • 57
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    PANGAEA
    In:  Institute of Geological Sciences, National Academy of Sciences of Ukraine
    Publication Date: 2023-07-10
    Keywords: Analysis; Archive of Ocean Data; ARCOD; Atlantic Ocean; AV28_4239; AV28_4247; AV28_4248; Calculated; Dredge; DRG; Elevation of event; Elevation of event 2; Event label; GC; Gravity corer; Iron; Iron oxide, Fe2O3; Latitude of event; Longitude of event; Manganese; Manganese/Iron ratio; Manganese dioxide; Manganese oxide; Phosphorus; Sample position; Wet chemistry
    Type: Dataset
    Format: text/tab-separated-values, 63 data points
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  • 58
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    PANGAEA
    In:  Institute of Geological Sciences, National Academy of Sciences of Ukraine
    Publication Date: 2023-07-10
    Keywords: Analysis; Archive of Ocean Data; ARCOD; Atlantic Ocean; AV28_4250; AV28_4252; Calculated; Dredge; DRG; Elevation of event; Elevation of event 2; Event label; Iron; Iron oxide, Fe2O3; Iron oxide, FeO; Latitude of event; Longitude of event; Manganese; Manganese/Iron ratio; Manganese dioxide; Manganese oxide; Phosphorus; Phosphorus pentoxide; Sample type; Wet chemistry
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
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  • 59
    Publication Date: 2023-07-10
    Keywords: 12-112; Actinocyclus divisus; Actinoptychus senarius; Arachnoidiscus spp.; Asterolampra schmidtii; Asterolampra sp.; Asteromphalus oligocenicus; Azpeitia oligocenica; Azpeitia vetustissima; Azpeitia voluta; Cestodiscus pulchellus; Cestodiscus sp.; Coscinodiscus argus; Coscinodiscus asteromphalus; Coscinodiscus marginatus; Coscinodiscus obscurus; Coscinodiscus oculus-iridis; Coscinodiscus radiatus; Coscinodiscus sp.; Coscinodiscus symbolophorus; Cymatosira biharensis; Deep Sea Drilling Project; Diatom abundance; Diatom preservation; Diatoms indeterminata; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Ethmodiscus sp.; Glomar Challenger; Goniothecium decoratum; Hemiaulus cf. malleolus; Hemiaulus polycystinorum; Hemiaulus sp.; Leg12; Melosira architecturalis; Melosira sulcata; North Atlantic; Pleurosigma sp.; Polaria sp.; Pseudorocella barbadensis; Pseudotriceratium chenevieri; Pyxilla group; Rhaphoneis interposita; Rhaphoneis sp.; Rhizosolenia hebetata; Rhizosolenia massiva; Rhizosolenia sp.; Riedelia spp.; Rocella praenitida; Rocella vigilans; Sample code/label; Sceptroneis grunowii; Sceptroneis humuncia; Sceptroneis mayenica; Sceptroneis talwanii; Stephanogonia sp.; Stephanopyxis grunowii; Stephanopyxis marginata; Stephanopyxis megopora; Stephanopyxis sp.; Stephanopyxis superba; Stephanopyxis turris; Stictodiscus spp.; Synedra jouseana; Synedra sp.; Thalassiosira eccentrica; Thalassiosira irregulata; Thalassiothrix longissima; Triceratium cellulosum; Triceratium condecorum; Trinacria excavata; Trinacria sp.
    Type: Dataset
    Format: text/tab-separated-values, 1580 data points
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  • 60
    Publication Date: 2023-07-18
    Keywords: 90-593; Calculated; Deep Sea Drilling Project; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Gephyrocapsa spp.; Glomar Challenger; Leg90; Sample code/label; South Pacific/Tasman Sea/PLATEAU; Δδ13C; δ18O, adjusted/corrected; δ18O, reconstructed
    Type: Dataset
    Format: text/tab-separated-values, 412 data points
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  • 61
    Publication Date: 2023-07-11
    Keywords: AT_II-107_22; ATII_USA; Atlantis II (1963); DEPTH, sediment/rock; GC; Gravity corer; Neogloboquadrina pachyderma sinistral, δ13C; Neogloboquadrina pachyderma sinistral, δ18O; Size fraction
    Type: Dataset
    Format: text/tab-separated-values, 24 data points
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  • 62
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    PANGAEA
    In:  Geologisch-Paläontologisches Institut, Christian-Albrechts-Universität, Kiel
    Publication Date: 2023-08-28
    Keywords: Aluminium oxide; BCR; Box corer (Reineck); Calcium oxide; Cobalt; Copper; Date/Time of event; Deposit type; DEPTH, sediment/rock; Description; Dredge; DRG; Elevation of event; Event label; FFGR; Free-fall grab; GIK17168-1; GIK17169-1; GIK17170-1; GIK17174-1; GIK17175-1; GIK17177-1; GIK17178-1; GIK17179-1; GIK17180-1; GIK17181-1; GIK17182-1; GIK17187-1; GIK17194-1; GIK17197-1; GIK17200-1; GIK17201-1; Iron; KAL; Kasten corer; Latitude of event; Lead; Longitude of event; Magnesium oxide; Manganese; Mariana arc/Philippine Basin; MARIANA I; Nickel; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Phosphorus pentoxide; Potassium oxide; Sample code/label; Silicon dioxide; SO57; SO57_77KG; Sonne; Titanium dioxide; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 272 data points
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  • 63
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    PANGAEA
    In:  Supplement to: Sorem, Ronald K (1989): Manganese nodules as ore - Research methods and applications. Marine Mining, 8(2), 185-200, https://store.pangaea.de/Projects/NOAA-MMS/Sorem_MnOreResearchMethods.pdf
    Publication Date: 2023-08-28
    Description: The environmental conditions and processes that result in the origin and growth of marine manganese nodules have been of interest to both science and industry for more than 100 years, yet they are still poorly understood. The best way to investigate the significant internal features of whole nodules is to study their polished cross sections by the methods of ore microscopy. In this report, basic principles of ore microscopy are reviewed and methods of making good sections from difficult materials are described. The use of "map" photographs and mineral identification by X-ray analysis of microsamples are recommended.
    Keywords: BC; Box corer; Date/Time of event; Deposit type; DEPTH, sediment/rock; DOMES Site C, Pacific Ocean; Elevation of event; Event label; Latitude of event; Longitude of event; Mass; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Oceanographer; Position; Quantity of deposit; RP8OC76; RP-8-OC-76; RP8OC76-10-15; RP8OC76-11-16; RP8OC76-12-18; RP8OC76-13-19; RP8OC76-14-20; RP8OC76-15-21; RP8OC76-1-6; RP8OC76-16-22; RP8OC76-17-23; RP8OC76-18-24; RP8OC76-19-25; RP8OC76-21-27; RP8OC76-22-28; RP8OC76-2-7; RP8OC76-3-8; RP8OC76-4-9; RP8OC76-5-10; RP8OC76-6-11; RP8OC76-7-12; RP8OC76-8-13; RP8OC76-9-14; Sample ID; Size; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 669 data points
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  • 64
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    PANGAEA
    In:  Supplement to: Le Suave, Raymond; Pichocki, C; Pautot, Guy; Hoffert, Michel; Morel, Yann; Voisset, Michel; Monti, S; Amossé, J; Kosakevitch, A (1989): Geological and mineralogical study of Co-rich ferromanganese crusts from a submerged atoll in the Tuamotu Archipelago (French Polynesia). Marine Geology, 87(2-4), 227-247, https://doi.org/10.1016/0025-3227(89)90063-7
    Publication Date: 2023-08-28
    Description: The Tuamotu Archipelago in French Polynesia is a Co-rich ferromanganese crust province. The NODCO I survey (1986) provided detailed data on Co-rich crusts in this environment through the exploration of a restricted zone in the vicinity of Niau Island on the southern flank of the archipelago. This flat zone is a fossil atoll which, under the action of subsidence and tectonic movements, has collapsed to a water depth of 1000 m. The plateau is partially filled with coralline sediments. Outcrops of ferromanganese crusts, associated with rare nodules and slabs, are located on the inner side of the coral reef which bounds the ancient lagoon. The successive episodes of plateau history have been recorded in the different growth periods of the ferromanganese crusts. The crusts, nodules and slabs belong to the same morphological, mineralogical and geochemical family. Cobalt contents vary from 0.7 to 1.3%. The highest values belong to the thinnest ferromanganese crusts which are located on the flanks of the plateau. Average Ni contents are about 0.5% and Cu contents about 0.1%; Pt contents vary from 0.2 to 1.3 ppm. Platinum and Co are enriched in the outermost oxide zone of the crusts. Poorly crystallized -MnO2 is the dominant mineralogical phase. Cobalt enrichment seems to be related to -MnO2 particle size. The greatest contents are located in the finest material where the particle size is less than 0.1 m. Cobalt-rich crusts of the Niau Zone have the same characteristics as the Co-rich crusts from the Equatorial North Pacific. They differ in original setting: the reefal environment in the Niau Zone is superficial, overlying a volcanic substrate.
    Keywords: NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 65
    Publication Date: 2023-08-28
    Description: During the Equamarge II cruise (February 4 to March 21, 1988), on board the R. V. "Jean Charcot", 12.500 kms of continuous geophysical profiling have been recorded along three sectors of the Equatorial Atlantic. Two segments ofthe West African transform margin have been intensively surveyed off Guinea and off Ivory Coast and Ghana. The active Romanche fracture zone has been surveyed in details on a distance of about 100 kms. These data (multibeam bathymetry, continuous seismic profiling, magnetism and gravity) have been supplemented by 16 geological stations (dredging and coring). This report gives a synthetic review of the onboard analysis and allows to better understand the geological structures of the three surveyed areas.
    Keywords: Atlantic Ocean; Comment; Core; CORE; Deposit type; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Description; Dredge; DRG; Elevation of event; Equamarge_II; EQUM-DR3; EQUM-DR4; EQUM-DR8; EQUM-E88-DR5; EQUM-KS1; EQUM-KS2; EQUM-KS4; Event label; Identification; Jean Charcot; Latitude of event; Longitude of event; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Position; Quantity of deposit; Sediment type; Size; Substrate type; Visual description
    Type: Dataset
    Format: text/tab-separated-values, 84 data points
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  • 66
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    PANGAEA
    In:  Supplement to: SCRIPPS Institution of Oceanography (1989): ROUNDABOUT Cruise (R/V Thomas Washington) - Descriptions of cores and dredges, Scripps Institute of Oceanography (SIO). Scripps Institution of Oceanography, UC San Diego, unpublished, 105 pp, https://www.ngdc.noaa.gov/mgg/curator/data/thomas_washington/roundabout/roundabout_log.pdf
    Publication Date: 2023-08-28
    Description: The cores described are taken during the R/V Thomas Washington ROUNDABOUT Cruise from May 1988 until March 1989 by the Scripps Institute of Oceanography. A total of 159 cores and dredges were recovered and are available at Scripps Institute of Oceanography for sampling and study.
    Keywords: Comment; Date/Time of event; Deposit type; DEPTH, sediment/rock; Description; Dredge, rock; DRG_R; Elevation of event; Event label; Latitude of event; Longitude of event; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Pacific Ocean; Position; Quantity of deposit; RNDB02WT-001D; RNDB02WT-002D; RNDB02WT-003D; RNDB02WT-004D; RNDB06WT-005D; RNDB06WT-006D; RNDB06WT-008D; RNDB06WT-009D; RNDB06WT-010D; RNDB06WT-012D; RNDB06WT-013D; RNDB-10D; RNDB10WT-049D; RNDB10WT-051D; RNDB10WT-052D; RNDB10WT-053D; RNDB10WT-054D; RNDB10WT-055D; RNDB10WT-056D; RNDB10WT-057D; RNDB10WT-058D; RNDB10WT-059D; RNDB10WT-060D; RNDB10WT-061D; RNDB10WT-063D; RNDB10WT-064D; RNDB10WT-065D; RNDB10WT-066D; RNDB10WT-067D; RNDB10WT-068D; RNDB10WT-069D; RNDB10WT-071D; RNDB10WT-072D; RNDB10WT-073D; RNDB-114D; RNDB-115D; RNDB-118D; RNDB-119D; RNDB-120D; RNDB-12D; RNDB-13D; RNDB15WT-079D; RNDB15WT-080D; RNDB15WT-081D; RNDB15WT-083D; RNDB15WT-084D; RNDB15WT-086D; RNDB15WT-094D; RNDB15WT-095D; RNDB15WT-114D; RNDB15WT-115D; RNDB15WT-118D; RNDB15WT-119D; RNDB15WT-120D; RNDB-1D; RNDB-2D; RNDB-3D; RNDB-49D; RNDB-4D; RNDB-51D; RNDB-52D; RNDB-53D; RNDB-54D; RNDB-55D; RNDB-56D; RNDB-57D; RNDB-58D; RNDB-59D; RNDB-5D; RNDB-60D; RNDB-61D; RNDB-63D; RNDB-64D; RNDB-65D; RNDB-66D; RNDB-67D; RNDB-68D; RNDB-69D; RNDB-6D; RNDB-71D; RNDB-72D; RNDB-73D; RNDB-79D; RNDB-80D; RNDB-81D; RNDB-83D; RNDB-84D; RNDB-86D; RNDB-8D; RNDB-94D; RNDB-95D; RNDB-9D; ROUNDABOUT; Sample ID; Sediment type; Size; Substrate type; Thomas Washington; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 365 data points
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  • 67
    Publication Date: 2023-08-28
    Keywords: Aluminium; Calcium; Cerium; Cobalt; Copper; DEPTH, sediment/rock; Dredge; DRG; Europium; Event label; Gold; Identification; Ion coupled plasma spectrometry (ICP); Iron; Jean Charcot; Lanthanum; Lutetium; Manganese; NDC1-DR01; NDC1-DR02; NDC1-DR03; NDC1-DR04; NDC1-DR05; NDC1-DR06; NDC1-DR12; NDC1-DR13; Nickel; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; NODCO1; Pacific Ocean; Palladium; Phosphorus; Platinum; Rhodium; Silicon; Spark-high voltage emission spectrometer; Ytterbium
    Type: Dataset
    Format: text/tab-separated-values, 139 data points
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  • 68
    Publication Date: 2023-08-28
    Keywords: Deposit type; DEPTH, sediment/rock; Description; Dredge; DRG; Elevation of event; Event label; Identification; Jean Charcot; Latitude of event; Longitude of event; NDC1-DR01; NDC1-DR02; NDC1-DR03; NDC1-DR04; NDC1-DR05; NDC1-DR06; NDC1-DR08; NDC1-DR12; NDC1-DR13; NDC1-DR14; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; NODCO1; Pacific Ocean; Position; Quantity of deposit; Sediment type; Size; Substrate type; Visual description
    Type: Dataset
    Format: text/tab-separated-values, 128 data points
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  • 69
    Publication Date: 2023-10-21
    Keywords: Area/locality; Conductivity, average; Depth, bottom/max; ELEVATION; Heat flow; LATITUDE; LONGITUDE; Method comment; Number; Sample, optional label/labor no; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 424 data points
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  • 70
    Publication Date: 2023-07-10
    Keywords: Ammodiscus lavidus; Ammodiscus pacificus; Ammotium planissimum; BC; Bolivina argentea; Bolivina minuta; Bolivina pacifica; Bolivina spissa; Box corer; Bulimina mexicana; Buliminella elegantissima; Buliminella tenuata; California Basins; Cancris inaequalis; Cassidulina delicata; Cassidulina laevigata; Cassidulina sp.; Chilostomella ovoidea; Cibicidoides fletcheri; Counting 〉125 µm fraction; Cribrostomoides advenum; Cribrostomoides aff. evolutum; Cribrostomoides evolutum; Cribrostomoides lenticulare; Cribrostomoides subglobosum; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Eggerella advena; Eggerella sp.; Ehrenbergina compressa; Epistominella smithi; Foraminifera, benthic indeterminata; Foraminifera, benthic living; Foraminifera, benthic specimens; Fursenkoina apertura; Fursenkoina bramletti; Fursenkoina delicatula; Fursenkoina seminuda; Globobulimina hoeglundi; Globobulimina pacifica; Globobulimina spinifera; Globocassidulina subglobosa; Gyroidina gemma; Hippocrepina sp.; Hoeglundina elegans; Lagena laevis; Loxostomum pseudobeyrichii; Nonionella fragilis; Nonionella stella; Nonion sp.; Nouria polymorphinoides; Planulina ariminensis; Pullenia salisburyi; Pyrgo murrhina; Quinqueloculina sp.; Reophax dentaliniformis; Reophax excentricus; Reophax horridus; Reophax scorpiurus; Reophax sp.; Rosalina columbiensis; Rotaliammina kelletae; Saccammina longicollis; SW_3a; Trochammina charlottensis; Trochammina globigeriniformis; Trochammina pacifica; Trochammina sp.; Uvigerina curticosta; Valvulineria araucana
    Type: Dataset
    Format: text/tab-separated-values, 520 data points
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  • 71
    Publication Date: 2023-07-10
    Keywords: Ammodiscus lavidus; Ammodiscus pacificus; Ammotium planissimum; BC; Bolivina argentea; Bolivina minuta; Bolivina pacifica; Bolivina spissa; Box corer; Bulimina mexicana; Buliminella elegantissima; Buliminella tenuata; California Basins; Cancris inaequalis; Cassidulina delicata; Cassidulina laevigata; Cassidulina sp.; Chilostomella ovoidea; Cibicidoides fletcheri; Counting 〉125 µm fraction; Cribrostomoides advenum; Cribrostomoides aff. evolutum; Cribrostomoides evolutum; Cribrostomoides lenticulare; Cribrostomoides subglobosum; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Eggerella advena; Eggerella sp.; Ehrenbergina compressa; Epistominella smithi; Foraminifera, benthic indeterminata; Foraminifera, benthic living; Foraminifera, benthic specimens; Fursenkoina apertura; Fursenkoina bramletti; Fursenkoina delicatula; Fursenkoina seminuda; Globobulimina hoeglundi; Globobulimina pacifica; Globobulimina spinifera; Globocassidulina subglobosa; Gyroidina gemma; Hippocrepina sp.; Hoeglundina elegans; Lagena laevis; Loxostomum pseudobeyrichii; Nonionella fragilis; Nonionella stella; Nonion sp.; Nouria polymorphinoides; Planulina ariminensis; Pullenia salisburyi; Pyrgo murrhina; Quinqueloculina sp.; Reophax dentaliniformis; Reophax excentricus; Reophax horridus; Reophax scorpiurus; Reophax sp.; Rosalina columbiensis; Rotaliammina kelletae; Saccammina longicollis; SW_3b; Trochammina charlottensis; Trochammina globigeriniformis; Trochammina pacifica; Trochammina sp.; Uvigerina curticosta; Valvulineria araucana
    Type: Dataset
    Format: text/tab-separated-values, 455 data points
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  • 72
    Publication Date: 2023-07-10
    Keywords: 32-303A; Astacolus sp.; Deep Sea Drilling Project; Dentalina sp.; DEPTH, sediment/rock; Dorothia conula; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Eoguttulina bilocularis; Epoch; Glomar Challenger; Glomospira variabilis; Glomospirella gaultina; Leg32; Lenticulina sp.; Nodosaria sp.; North Pacific/BASIN; Praedorothia ouachensis; Protomarssonella kummi; Pseudonodosaria humilis; Radiolarians abundance; Sample code/label; Saracenaria sp.; Tritaxia tricarinata; Vaginulina sp.
    Type: Dataset
    Format: text/tab-separated-values, 51 data points
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  • 73
    Publication Date: 2023-07-10
    Keywords: 43-384; Ammobaculites sp.; Choffatella decipiens; Coskinolina sp.; Deep Sea Drilling Project; DEPTH, sediment/rock; Dorothia subtrocha; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Echinoidea spiculae; Epoch; Gastropoda; Glomar Challenger; Leg43; Lingulina sp.; North Atlantic/RIDGE; Orbitolinoides sp.; Ostracoda; Sample code/label; Spiroplectammina mordenensis; Triloculina sp.; Tristix acutangulus; Trocholina paucigranulata; Trocholina sp.; Valvulineria infracretacea; Verneuilinoides sp.
    Type: Dataset
    Format: text/tab-separated-values, 18 data points
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  • 74
    Publication Date: 2023-07-10
    Keywords: 32-306; Aptychi abundance; Astacolus sp.; Citharina sp.; Deep Sea Drilling Project; Dentalina sp.; DEPTH, sediment/rock; Dorothia conula; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Echinoidea spiculae; Eoguttulina bilocularis; Epoch; Gaudryina dividens; Gavelinella barremiana; Globigerinelloides sp.; Globulina pigmea; Glomar Challenger; Glomospira variabilis; Glomospirella gaultina; Gubkinella graysonensis; Gyroidinoides aff. nitida; Haplophragmoides sp.; Hedbergella sp.; Hyperammina gaultina; Inoceramus prisms; Leg32; Lenticulina quenstedti/ouachensis; Lenticulina sp.; Lingulina sp.; Lingulina umbra; Lithology/composition/facies; Marginulina inaequalis; Marginulinopsis vetusta; Marssonella oxycona; Nodosaria sp.; North Pacific/CONT RISE; Osangularia brotzeni; Ostracoda; Palmula sp.; Pleurostomella obtusa; Praedorothia ouachensis; Praedorothia zedlerae; Pseudoclavulina gaultina; Quinqueloculina sp.; Radiolarians abundance; Ramulina spandeli; Rotalipora sp.; Sample code/label; Saracenaria sp.; Schackoina sp.; Spirillina polygyrata; Spirobolivina australis; Spiroplectammina gandolfii; Spiroplectammina losangica; Triloculina sp.; Tristix acutangulus; Vaginulina sp.; Vaginulinopsis sp.; Valvulineria loetterlei
    Type: Dataset
    Format: text/tab-separated-values, 1166 data points
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  • 75
    Publication Date: 2023-07-10
    Keywords: 11-100; Ammobaculites sp.; Ammobaculites suprajurassicus; Ammodiscus granulosus; Aptychi abundance; Astacolus fraasi; Astacolus sp.; Bigenerina arcuata; Bigenerina jurassica; Bullopora rostrata; Conorboides pygmaea; Deep Sea Drilling Project; Dentalina sp.; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Echinoidea spiculae; Eoguttulina bilocularis; Eoguttulina liassica; Epoch; Fish remains; Formation; Gastropoda; Globulina pigmea; Glomar Challenger; Glomospira variabilis; Glomospirella gaultina; Haplophragmium sp.; Haplophragmoides sp.; Holothuroidea remains; Hyperammina gaultina; Jaculella depressa; Lagenammina lagenaria; Leg11; Lenticulina cf. aeolia; Lenticulina nodosa; Lenticulina quenstedti; Lenticulina sp.; Lingulina dentaliniformis; Lingulina franconica; Lingulina longiscata; Lingulina ovalis; Lingulina sp.; Lingulina umbra; Lituotuba sp.; Marginulina minuta; Marginulina resupinata; Marginulinopsis matutina; Marginulinopsis phragmites; Nodosaria jurassica; Nodosaria nitidula; North Atlantic/BASIN; Ophiuroidea remains; Ophthalmidium oxfordianum; Ophthalmidium rotula; Ostracoda; Paalzowella turbinella; Paleogaudryina magharaensis; Palmula crepidularis; Palmula pseudoparallela; Palmula sp.; Porifera spiculae; Pseudomarssonella dumortieri; Pseudonodosaria humilis; Quinqueloculina egmontensis; Radiolarians abundance; Ramulina spandeli; Ramulina suevica; Reophax helveticus; Rhyncholitha; Saccocoma remains; Sample code/label; Serpula sp.; Sorosphaera scanica; Spirillina polygyrata; Subdelloidina sp.; Textulariopsis jurassica; Tolypammina sp.; Tristix tunassica; Trochammina sp.; Trocholina valdensis; Vaginulina sp.; Verneuilinoides sp.
    Type: Dataset
    Format: text/tab-separated-values, 745 data points
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  • 76
    Publication Date: 2023-07-10
    Keywords: 11-105; Ammobaculites sp.; Ammodiscus granulosus; Ammodiscus sp.; Aptychi abundance; Astacolus erucaeformis; Astacolus fraasi; Astacolus involvens; Astacolus rasus; Bigenerina arcuata; Bigenerina jurassica; Bullopora rostrata; Deep Sea Drilling Project; Dentalina debilis; Dentalina spp.; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Echinoidea spiculae; Eoguttulina bilocularis; Eoguttulina liassica; Eoguttulina oolithica; Epistomina mosquensis; Epistomina uhligi; Epoch; Fish remains; Globulina pigmea; Glomar Challenger; Glomospira irregularis; Glomospira variabilis; Haplophragmium aff. subaequale; Haplophragmoides sp.; Holothuroidea remains; Ichthyolaria nikitini; Ichthyolaria sp.; Jaculella depressa; Kalamopsis grzybowskii; Leg11; Lenticulina bochardi; Lenticulina cf. aeolia; Lenticulina quenstedti; Lenticulina sp.; Lingulina dentaliniformis; Lingulina franconica; Lingulina laevissima; Lingulina longiscata; Lingulina loryi; Lingulina umbra; Marginulina denudata; Marginulina flaccida; Marginulina frankeana; Marginulina inaequalis; Marginulina minuta; Marginulina resupinata; Marginulina sardoa; Marginulinopsis enodis; Marginulinopsis epicharis; Marginulinopsis informis; Marginulinopsis matutina; Nodobacularia bulbifera; Nodosaria corallina; Nodosaria nitidula; Nodosaria raphanistriformis; Nodosaria seminuda; Nodosaria sp.; North Atlantic/HILL; Ophthalmidium oxfordianum; Ophthalmidium rotula; Ostracoda; Paleogaudryina magharaensis; Palmula beierana; Palmula polypora; Palmula primordialis; Pseudomarssonella dumortieri; Pseudonodosaria humilis; Pseudonodosaria sp.; Radiolarians abundance; Ramulina spandeli; Ramulina suevica; Reophax helveticus; Reophax sp.; Rhyncholitha; Saccocoma remains; Sample code/label; Spirillina polygyrata; Thurammina canaliculata; Tolypammina sp.; Trochammina canningensis; Vaginulina jurensis; Vaginulina manubrium; Vaginulina simplex; Vaginulina sp.
    Type: Dataset
    Format: text/tab-separated-values, 756 data points
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  • 77
    Publication Date: 2023-07-10
    Keywords: 27-261; Ammodiscus granulosus; Ammodiscus nussbachensis; Ammodiscus sp.; Arenoturrispirillina jeletzkyi; Bathysiphon vitta; Bigenerina jurassica; Citharina cuneata; Deep Sea Drilling Project; Dentalina debilis; Dentalina sp.; Dentalina succincta; DEPTH, sediment/rock; Dorothia sp.; Dorothia spissa; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Epoch; Fish remains; Glomar Challenger; Glomospira irregularis; Glomospira variabilis; Haplophragmium euides; Hyperammina gaultina; Ichthyolaria pyrus; Indian Ocean//PLAIN; Jaculella depressa; Leg27; Lenticulina eichenbergi; Lenticulina sp.; Marginulina denudata; Marginulina resupinata; Marginulina sardoa; Nodosaria apheilolocula; Nodosaria manubrium; Ostracoda; Palmula primordialis; Pelosina crassa; Porifera spiculae; Pseudonodosaria humilis; Radiolarians abundance; Reophax helveticus; Sample code/label; Textulariopsis jurassica; Trochammina abrupta; Trochammina canningensis; Trochammina quinqueloba; Verneuilinoides neocomiensis; Verneuilinoides sp.
    Type: Dataset
    Format: text/tab-separated-values, 697 data points
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  • 78
    Publication Date: 2023-07-10
    Keywords: 32-304; Ammodiscus granulosus; Astacolus sp.; Bathysiphon sp.; Citharina sp.; Deep Sea Drilling Project; Dentalina sp.; DEPTH, sediment/rock; Dorothia conula; Dorothia spissa; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Eggerella sp.; Eoguttulina bilocularis; Epoch; Gaudryina sp.; Glomar Challenger; Glomospira variabilis; Glomospirella gaultina; Hyperammina gaultina; Leg32; Lenticulina sp.; Lingulina loryi; Lingulina nodulosa; Lingulina umbra; Marginulina sp.; Marginulinopsis vetusta; Nodosaria sp.; North Pacific/BASIN; Ostracoda; Praedorothia ouachensis; Protomarssonella kummi; Pseudonodosaria humilis; Radiolarians abundance; Ramulina spandeli; Sample code/label; Saracenaria sp.; Trochammina sp.; Vaginulina sp.
    Type: Dataset
    Format: text/tab-separated-values, 93 data points
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  • 79
    Publication Date: 2023-07-10
    Keywords: 41-370; Astacolus schloenbachi; Bigenerina jurassica; Citharina sp.; Deep Sea Drilling Project; Dentalina debilis; Dentalina sp.; Dentalina tenuistriata; DEPTH, sediment/rock; Dorothia sp.; Dorothia spissa; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Epoch; Fish remains; Gavelinella bettenstaedti; Globigerinelloides sp.; Globulina pigmea; Glomar Challenger; Glomospirella gaultina; Guttulina subsphaerica; Haplophragmium sp.; Haplophragmoides sp.; Hyperammina gaultina; Leg41; Lenticulina deilmanni; Lenticulina nodosa; Lenticulina saxonica; Lenticulina sp.; Lingulina loryi; Marginulina inaequalis; Marginulina inepta; Marginulinopsis matutina; Marginulinopsis robusta; Nodosaria nitidula; North Atlantic/BASIN; Ophiuroidea remains; Ostracoda; Palmula crepidularis; Palmula sp.; Praedorothia ouachensis; Pseudonodosaria humilis; Radiolarians abundance; Ramulina tappanae; Sample code/label; Saracenaria crassicosta; Schackoina sp.; Spirillina polygyrata; Textulariopsis sp.; Tristix acutangulus; Vaginulina perfoliata; Vaginulina sp.
    Type: Dataset
    Format: text/tab-separated-values, 528 data points
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  • 80
    Publication Date: 2023-07-10
    Keywords: 44-391C; Ammodiscus granulosus; Aptychi abundance; Astacolus rasus; Astacolus schloenbachi; Astacolus sp.; Bigenerina antiquissima; Bigenerina arcuata; Citharina cuneata; Conorboides hofkeri; Conorboides pygmaea; Deep Sea Drilling Project; Dentalina sp.; DEPTH, sediment/rock; Dorothia spissa; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Echinoidea spiculae; Eoguttulina bilocularis; Epistomina uhligi; Epoch; Fish remains; Formation; Gavelinella barremiana; Globigerinelloides sp.; Globuligerina oxfordiana; Glomar Challenger; Glomospira variabilis; Glomospirella gaultina; Haplophragmium euides; Hedbergella sp.; Hyperammina gaultina; Leg44; Lenticulina bochardi; Lenticulina deilmanni; Lenticulina eichenbergi; Lenticulina quenstedti; Lenticulina roemeri; Lenticulina sp.; Lingulina franconica; Lingulina loryi; Lingulina nodulosa; Lingulina sp.; Lingulina umbra; Lithology/composition/facies; Marginulina inepta; Marginulina linearis; Marginulina minuta; Marginulina trunculata; Marginulinopsis antiquata; Marginulinopsis vetusta; Neobulimina atlantica; Nodosaria nitidula; North Atlantic/BASIN; Ophthalmidium rotula; Ostracoda; Palmula humilis; Porifera spiculae; Praedorothia ouachensis; Protomarssonella kummi; Psammosphaera sp.; Pseudonodosaria humilis; Pseudonodosaria tenuis; Pyrulina cylindroides; Quinqueloculina minima; Radiolarians abundance; Reophax helveticus; Sample code/label; Spirillina polygyrata; Textulariopsis sp.; Tristix acutangulus; Trochammina canningensis; Trocholina sp.
    Type: Dataset
    Format: text/tab-separated-values, 900 data points
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  • 81
    Publication Date: 2023-07-10
    Keywords: 13-120; Ammodiscus granulosus; Astacolus cephalotus; Astacolus erucaeformis; Astacolus sp.; Bigenerina arcuata; Deep Sea Drilling Project; Dentalina sp.; DEPTH, sediment/rock; Dorothia filiformis; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Echinoidea spiculae; Epoch; Fish remains; Gaudryina sp.; Glomar Challenger; Glomospira variabilis; Glomospirella gaultina; Guttulina subsphaerica; Haplophragmium aequale; Haplophragmium euides; Haplophragmoides concavus; Hyperammina gaultina; Leg13; Lenticulina nodosa; Lenticulina sp.; Lingulina loryi; Lingulina umbra; Marginulinopsis matutina; Marginulinopsis vetusta; Nodosaria nitidula; North Atlantic/BANK; Ostracoda; Palmula sp.; Pseudonodosaria humilis; Pyrulina cylindroides; Ramulina spandeli; Reophax aff. helveticus; Sample code/label; Vaginulina linearis; Vaginulina sp.; Verneuilinoides neocomiensis
    Type: Dataset
    Format: text/tab-separated-values, 70 data points
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  • 82
    Publication Date: 2023-07-10
    Keywords: 32-305; Astacolus sp.; Conorotalites aptiensis; Deep Sea Drilling Project; Dentalina debilis; Dentalina sp.; DEPTH, sediment/rock; Dorothia conula; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Echinoidea spiculae; Eggerella sp.; Eoguttulina bilocularis; Epoch; Fish remains; Gaudryina compacta; Gaudryina dividens; Gaudryina mendrisiensis; Gavelinella barremiana; Globigerinelloides sp.; Glomar Challenger; Gubkinella graysonensis; Guttulina pygmaea; Gyroidinoides aff. nitida; Hedbergella sp.; Leg32; Lenticulina sp.; Lingulina sp.; Lingulina umbra; Lithology/composition/facies; Marginulina sp.; Marginulinopsis vetusta; Marssonella oxycona; Nodosaria sp.; North Pacific/CONT RISE; Osangularia brotzeni; Ostracoda; Pleurostomella obtusa; Porifera spiculae; Praedorothia ouachensis; Pseudoclavulina gaultina; Pseudonodosaria humilis; Radiolarians abundance; Ramulina spandeli; Rotalipora sp.; Sample code/label; Saracenaria sp.; Spirillina polygyrata; Spiroplectammina gandolfii; Spiroplectammina losangica; Ticinella sp.; Triloculina sp.; Tristix acutangulus; Tritaxia tricarinata; Vaginulina recta; Vaginulina sp.; Valvulineria loetterlei
    Type: Dataset
    Format: text/tab-separated-values, 1250 data points
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  • 83
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    Unknown
    PANGAEA
    In:  Supplement to: Eleftheriou, Anastasios; Basford, D J (1989): The macrobenthic infauna of the offshore northern North Sea. Journal of the Marine Biological Association of the United Kingdom, 69(1), 123-143, https://doi.org/10.1017/S0025315400049158
    Publication Date: 2023-08-05
    Description: Between 1980 and 1985 ninety-seven stations were sampled by Smith-Mclntyre grab from the offshore northern section of the North Sea. Four hundred and nine infaunal species were identified from the 76 selected macrofaunal stations. The number of species per station varied from 25 to 80 with a maximum abundance of 9,600 individuals m**2. The biomass ranged from 0.13 to 18.86 g dry weight m**2. At most stations, however, biomass varied between 1 and 4 g dry weight m**2. Diversity and abundance were highest in the 120–140 m zone, characterised by fine sand containing variable amounts of silt. The highest biomasses were recorded in two areas; firstly where stronger currents predominate and the sediments are coarser (east of Shetland and west of the Norwegian Trough), and secondly in the fine sandy deposits of the centrally located area. In the silty sediments (Fladen Ground and smaller depressions) there was a predominantly subsurface deposit-feeding community, whereas in the coarser area east of the Shetlands carnivores predominated. Over the remaining area surface deposit feeders were dominant.
    Keywords: MarGIS
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 84
    Publication Date: 2023-08-05
    Keywords: Benthos; Benthos, other; Counting; Crustacea; DEPTH, sediment/rock; Echinodermata; LATITUDE; LONGITUDE; Mollusca; Polychaeta; Sample code/label; Species richness
    Type: Dataset
    Format: text/tab-separated-values, 988 data points
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  • 85
    Publication Date: 2023-08-05
    Keywords: Counting; Occurrence; Score; Species
    Type: Dataset
    Format: text/tab-separated-values, 200 data points
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  • 86
    Publication Date: 2023-07-24
    Keywords: 94-607_Site; AGE; Calcium carbonate; Cibicidoides spp., δ13C; Cibicidoides spp., δ18O; COMPCORE; Composite Core; Deep Sea Drilling Project; DEPTH, sediment/rock; DSDP; DSDP/ODP/IODP sample designation; Glomar Challenger; Leg94; Mass spectrometer Finnigan MAT 251; North Atlantic/FLANK; Sample code/label; Uvigerina spp., δ13C; Uvigerina spp., δ18O
    Type: Dataset
    Format: text/tab-separated-values, 1352 data points
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  • 87
    Publication Date: 2023-07-24
    Keywords: 94-607_Site; AGE; Cibicidoides spp., δ13C; Cibicidoides spp., δ18O; COMPCORE; Composite Core; Deep Sea Drilling Project; DEPTH, sediment/rock; DSDP; DSDP/ODP/IODP sample designation; Glomar Challenger; Leg94; Mass spectrometer Finnigan MAT 251; North Atlantic/FLANK; Sample code/label; Uvigerina spp., δ13C; Uvigerina spp., δ18O
    Type: Dataset
    Format: text/tab-separated-values, 1383 data points
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  • 88
    Publication Date: 2023-07-11
    Keywords: Cadmium/Calcium ratio; DEPTH, sediment/rock; GC; Gravity corer; KN714-15; Neogloboquadrina pachyderma sinistral, δ13C; Neogloboquadrina pachyderma sinistral, δ18O; Size fraction
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
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  • 89
    Publication Date: 2023-11-09
    Keywords: Adercotryma glomeratum; Ammobaculites foliaceoum; Astrammina rara; Astrononion gallowayi; Bolivina arctica; Bolivina spathulata; Brizalina pseudopunctata; Buccella frigida; Bulimina marginata; Buliminella hensoni; Cassidulina laevigata; Cassidulina reniforme; Cassidulina subglobosa; Cibicides lobatulus; Counting 〉63 µm fraction; Cribrostomoides subglobosum; Dendrophyra arborescens; Dentalina spp.; DEPTH, sediment/rock; Eggerella advena; Elphidium bartletti; Elphidium excavatum forma clavata; Elphidium subarcticum; Eoeponides pulchella; Epistominella takayanagii; Event label; Fissurina spp.; Foraminifera, benthic agglutinated indeterminata; Foraminifera, benthic specimens; Foraminifera, planktic; Fursenkoina fusiformis; Fursenkoina pauciloculata; Globobulimina auriculata; Haynesina orbicularis; HUD85-027-16; HUD85-027-16TC; Hyperammina elongata; Islandiella islandica; Islandiella teretis; Labrador Sea; Lagena spp.; Laryngosigma hyalascidia; Lenticulina spp.; Miliolina subrotundra; Nonion barleeanum; Nonionella labradorica; Number of species; Nuttallides umbonifera; Oolina hexagona; Oridorsalis umbonatus; Patellina corrugata; PC; Piston corer; Planulina wuellerstorfi; Psammosphaera fusca; Pseudopolymorphina novangliae; Pullenia subcarinata; Pyrgo williamsoni; Quinqueloculina arctica; Quinqueloculina culturata; Quinqueloculina seminulum; Quinqueloculina stalkeri; Recurvoides scitulum; Reophax arcticus; Reophax scotti; Rhabdammina agglutissima; Rhizammina algaeformis; Saccammina difflugiformis; Stetsonia horvathi; TC; Textularia wiesneri; Trigger corer; Triloculina trihedra; Trochammina globigeriniformis; Uvigerina peregrina; Valvulineria arctica; Valvulineria laevigata
    Type: Dataset
    Format: text/tab-separated-values, 6901 data points
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  • 90
    Publication Date: 2023-11-09
    Keywords: Adercotryma glomeratum; Astacolus crepidulus; Astacolus insolitus; Astrononion gallowayi; Bolivina arctica; Bolivina pseudoplicata; Bolivina robusta; Bolivina spathulata; Bolivina subspinescens; Brizalina pseudopunctata; Buccella frigida; Bulimina exilis; Bulimina gibba; Bulimina notovata; Buliminella hensoni; Carterina spiculotesta; Cassidulina reniforme; Cassidulina subglobosa; Cassidulinoides bradyi; Cibicides lobatulus; Cibicides pseudoungerianus; Cibicides robertsonianus; Cibicides subhaidingerii; Counting 〉63 µm fraction; Cribrostomoides crassimargo; Cribrostomoides subglobosum; Dentalina spp.; DEPTH, sediment/rock; Discopulvinulina spp.; Discorbis spp.; Eggerella advena; Eggerella bradyi; Elphidium bartletti; Elphidium excavatum; Elphidium excavatum forma clavata; Elphidium excavatum forma excavatum; Elphidium incertum; Elphidium subarcticum; Elphidium ustulatum; Epistominella exigua; Eponides bradyi; Eponides tumidulus; Event label; Fissurina spp.; Foraminifera, benthic specimens; Fursenkoina fusiformis; Globobulimina auriculata; Globobulimina spp.; Glomospira gordialis; Guttulina spp.; Gyroidina soldanii; Haynesina orbicularis; Hoeglundina elegans; HUD84-030-04; HUD84-030-04TC; Hyalinea balthica; Hyperammina spp.; Hyperammina subnodosa; Islandiella teretis; Karreriella apicularis; Karreriella bradyi; Labrador Sea; Lagena spp.; Lenticulina spp.; Miliolina spp.; Nodosaria lamnulifera; Nodosaria spp.; Nonion barleeanum; Nonionella turgida; Number of species; Nuttallides umbonifera; Oolina spp.; Ophthalmidium acutimargo; Oridorsalis umbonatus; Patellina corrugata; PC; Piston corer; Planulina spp.; Planulina wuellerstorfi; Psammosphaera fusca; Pseudopolymorphina novangliae; Pullenia bulloides; Pullenia subcarinata; Pyrgo williamsoni; Pyrulina gutta; Quinqueloculina agglutinans; Quinqueloculina culturata; Quinqueloculina seminulum; Reophax bacillaris; Reophax scorpiurus; Rhizammina algaeformis; Rhizammina spp.; Robertinoides charlottensis; Saccammina difflugiformis; Saccammina sphaerica; Sigmoilopsis schlumbergeri; Siphotextularia rolshauseni; Sphaeroidina bulloides; Spiroplectammina biformis; Stetsonia horvathi; TC; Tosaia hanzawai; Trifarina fluens; Trigger corer; Triloculina arctica; Triloculina trihedra; Trochammina nana; Trochammina pacifica; Trochammina spp.; Trochamminella atlantica; Uvigerina asperula; Uvigerina peregrina; Valvulineria arctica
    Type: Dataset
    Format: text/tab-separated-values, 7519 data points
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  • 91
    Publication Date: 2023-11-09
    Keywords: Adercotryma glomeratum; Ammobaculites agglutinans; Ammobaculites foliaceoum; Amphacorinella spp.; Amphistegina gibbosa; Astacolus crepidulus; Astacolus spp.; Bolivina arctica; Bolivina cf. subspinescens; Brizalina pseudopunctata; Buccella frigida; Bulimina aculeata; Bulimina elegantissima; Bulimina marginata; Cassidulina reniforme; Cassidulina subglobosa; Chilostomella oolina; Cibicides lobatulus; Cibicides refulgens; Cibicides robertsonianus; Cibicides subglobosum; Counting 〉63 µm fraction; Dentalina guttifera; Dentalina intorta; Dentalina ittai; Dentalina spp.; DEPTH, sediment/rock; Ehrenbergina trigona; Elphidium bartletti; Elphidium excavatum; Elphidium excavatum forma gunteri; Elphidium groenlandicum; Elphidium subarcticum; Eoeponidella pulchella; Epistominella exigua; Epistominella umbonifera; Eponides bradyi; Eponides tumidulus; Event label; Fissurina spp.; Foraminifera, benthic specimens; Fursenkoina fusiformis; Glabratella wrightii; Globobulimina auriculata; Globobulimina spp.; Globoloculina spp.; Glomospira gordialis; Guttulina spp.; Gyroidina soldanii; Haynesina orbicularis; Hoeglundina elegans; HUD84-030-01; HUD84-030-01TC; Hyperammina spp.; Islandiella islandica; Islandiella teretis; Karreriella apicularis; Karreriella bradyi; Lagena spp.; Lenticulina gibba; Lenticulina sp.; Marginulina obesa; Miliolina chuckchiensis; Nodosaria spp.; Nonion barleeanum; Nonion labradoricum; Number of species; Oolina spp.; Ophtalium acutimarge; Oridorsalis umbonatus; Orthomorphina retrorsa; Patellina corrugata; PC; Piston corer; Planulina wuellerstorfi; Pseudopolymorphina novangliae; Pullenia bulloides; Pullenia subcarinata; Pyrgo williamsoni; Quinqueloculina seminulum; Recurvoides turbinatus; Reophax bacillaris; Reophax nodulosus; Reophax scorpiurus; Reussella spp.; Robertinoides charlottensis; Rosalina spp.; Saccammina difflugiformis; Saccammina sphaerica; Stainforthia concava; Stainforthia fusiformis; Stetsonia horvathi; TC; Textularia torquata; Tosaia hanzawai; Trifarina fluens; Trifarina spp.; Trigger corer; Triloculina arctica; Triloculina subcarinata; Triloculina trihedra; Trochammina spp.; Trochammina squamata; Uvigerina asperula; Uvigerina peregrina; Vaginulina spp.
    Type: Dataset
    Format: text/tab-separated-values, 14647 data points
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  • 92
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: de Lange, Gert J; Middelburg, Jack J; Poorter, R; Shofiyah, S (1989): Ferromanganese encrustations on the seabed west of Misool, eastern Indonesia. Netherlands Journal of Sea Research, 24(4), 541-553, https://doi.org/10.1016/0077-7579(89)90132-4
    Publication Date: 2023-08-28
    Description: The chemical analyses of ferromanganese encrustations found on the seabed west of Misool, eastern Indonesia, indicate that these deposits formed in a way different from that of world-wide occurring manganese nodules. Ferromanganese coated pebbles and fragments that were found in the deeper parts of the study area probably originate from nearby ridges. The ferromanganese crust on the upper part of a dolomite fragment of ?30 kg is likely to be formed by hydrogenous processes, whereas that from the lower part seems to be formed by diagenetic processes mainly. These assumptions are supported by pore-water data from two box cores taken in the same area. The manganese and iron profiles versus depth in these cores indicate a high flux of these metals to the uppermost sediment layer, and possibly into the overlying bottom water. Factor analysis for the principal components of the microprobe analytical results of the mainly hydrogenous ferromanganese crust demonstrates a strong correlation of manganese with the trace metals, of iron with phosphorus and an antipathetic relationship between iron and manganese. Similar results have also been reported for abyssal manganese nodules in the world oceans. Factor analysis for the principal components of the analytical data obtained for the diagenetic ferromanganese crust results in a clear dolomite (Ca/Mg) dilution factor only.
    Keywords: BC; Box corer; Celebes Sea; Comment; Date/Time of event; Deposit type; DEPTH, sediment/rock; Description; Elevation of event; Event label; Latitude of event; Longitude of event; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Position; Quantity of deposit; Sample ID; Sediment type; Size; Snellius-II_G4; Snellius-II_legG4/M3; Snellius-II_legG4/M4; Snellius-II_legG4/M5; Snellius-II_legG4/M6; Snellius-II_legG4/M9; Substrate type; Tyro; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 44 data points
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  • 93
    Publication Date: 2023-08-05
    Keywords: Benthos, biomass, dry mass; Benthos, other, biomass, dry mass; Crustacea, biomass, dry mass; DEPTH, sediment/rock; Echinodermata, biomass, dry mass; LATITUDE; LONGITUDE; Mollusca, biomass, dry mass; Polychaeta, biomass, dry mass; Sample code/label
    Type: Dataset
    Format: text/tab-separated-values, 532 data points
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  • 94
    Publication Date: 2023-07-24
    Keywords: 81-552A; AGE; Cibicidoides spp., δ13C; Cibicidoides spp., δ18O; Deep Sea Drilling Project; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP; Glomar Challenger; Leg81; Mass spectrometer VG Micromass 602; North Atlantic/PLATEAU
    Type: Dataset
    Format: text/tab-separated-values, 190 data points
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  • 95
    Publication Date: 2023-07-24
    Keywords: adjusted for vital effect; AGE; Cibicidoides spp., δ13C; Uvigerina spp., δ18O
    Type: Dataset
    Format: text/tab-separated-values, 150 data points
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  • 96
    Publication Date: 2023-07-10
    Keywords: Akademik Nikolaj Strakhov; ANS1; ANS1-13-D; ANS1-14-D; Archive of Ocean Data; ARCOD; Central Atlantic; Cerium; Chromium; Cobalt; Dredge; DRG; Element analysis, neutron activation (NAA); Elevation of event; Elevation of event 2; Europium; Event label; Hafnium; Lanthanum; Latitude of event; Longitude of event; Lutetium; Niobium; Rubidium; Samarium; Sample code/label; Scandium; Strontium; Tantalum; Tellurium; Terbium; Thorium; Vanadium; Ytterbium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 140 data points
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  • 97
    Publication Date: 2023-07-10
    Keywords: Akademik Nikolaj Strakhov; ANS1; ANS1-18-D; Archive of Ocean Data; ARCOD; Central Atlantic; Cerium; Chromium; Cobalt; Dredge; DRG; Element analysis, neutron activation (NAA); Europium; Hafnium; Lanthanum; Lutetium; Niobium; Rubidium; Samarium; Sample code/label; Scandium; Strontium; Tantalum; Tellurium; Terbium; Thorium; Ytterbium; Yttrium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 100 data points
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  • 98
    facet.materialart.
    Unknown
    PANGAEA
    In:  P.P. Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow
    Publication Date: 2023-07-10
    Keywords: Akademik Mstislav Keldysh; AMK7; AMK7-786; Archive of Ocean Data; ARCOD; Braarudosphaera bigelowii; Ceratolithus cristatus; Chiasmolithus sp.; Coccoliths; Coccolithus pelagicus; Cretarhabdus crenulatus; Cyclococcolithus leptoporus; DEPTH, sediment/rock; Discoaster aulakos; Discoaster pentaradiatus; Discoaster trinidadensis; Discolithina japonica; Emiliania huxleyi; Epoch; Gephyrocapsa oceanica; Gephyrocapsa protohuxleyi; Gulf of Aden; Helicopontosphaera kamptneri; Microscopy; MULT; Multiple investigations; Nannofossil zone; Oolithotus antillarum; Prediscosphaera sp.; Rhabdosphaera clavigera; Scapholithus fossilis; Scyphosphaera apsteinii; Syracosphaera pulchra; Umbellosphaera tenuis; Umbilicosphaera mirabilis
    Type: Dataset
    Format: text/tab-separated-values, 575 data points
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  • 99
    Publication Date: 2023-07-10
    Keywords: Akademik Nikolaj Strakhov; ANS1; ANS1-18-D; ANS1-20-D; ANS1-28-T; Archive of Ocean Data; ARCOD; Central Atlantic; Cerium; Chromium; Cobalt; Dredge; DRG; Element analysis, neutron activation (NAA); Elevation of event; Elevation of event 2; Europium; Event label; GC; Gravity corer; Hafnium; Lanthanum; Latitude of event; Longitude of event; Lutetium; Niobium; Rubidium; Samarium; Sample code/label; Scandium; Strontium; Tantalum; Tellurium; Terbium; Thorium; Ytterbium; Yttrium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 80 data points
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  • 100
    Publication Date: 2023-07-10
    Keywords: 12-112; Blackites spinosus; Calcidiscus protoannulus; Cepekiella lumina; Chiasmolithus altus; Chiasmolithus expansus; Chiasmolithus oamaruensis; Chiasmolithus solitus; Coccolithus pelagicus; Coronocyclus nitescens; Craterolithus hoerstgensis; Cribrocentrum reticulatum; Cruciplacolithus cribellum; Cyclicargolithus abisectus; Cyclicargolithus floridanus; Deep Sea Drilling Project; Discoaster barbadiensis; Discoaster deflandrei; Discoaster saipanensis; Discoaster sublodoensis; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Ellipsolithus lajollaensis; Epoch; Ericsonia fenestrata; Ericsonia formosa; Glomar Challenger; Goniolithus fluckigeri; Helicosphaera bramlettei; Helicosphaera compacta; Helicosphaera perch-nielseniae; Helicosphaera recta; Helicosphaera seminulum; Helicosphaera sp.; Isthmolithus recurvus; Lanternithus minutus; Leg12; Markalius inversus; Nannofossil abundance; Nannofossils preservation; Nannofossil zone; Nannofossil Zone; Martini, 1971; Neococcolithes dubius; North Atlantic; Pedinocyclus larvalis; Pemma spp.; Pontosphaera multipora; Pontosphaera spp.; Pyrocyclus inversus; Pyrocyclus orangensis; Reticulofenestra bisecta; Reticulofenestra daviesii; Reticulofenestra dictyoda; Reticulofenestra lockeri; Reticulofenestra onusta; Reticulofenestra spp.; Reticulofenestra umbilicus; Rhabdosphaera inflata; Rhabdosphaera tenuis; Rhabdosphaera vitrea; Sample code/label; Sphenolithus moriformis; Sphenolithus predistentus; Sphenolithus radians; Striatococcolithus pacificanus; Toweius pertusus; Transversopontis pulcher; Transversopontis pulcheroides; Transversopontis sigmoidalis; Zygrhablithus bijugatus
    Type: Dataset
    Format: text/tab-separated-values, 1921 data points
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