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  • 1
    Publication Date: 2022-05-25
    Description: © The Author(s), 2018. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Progress in Earth and Planetary Science 5 (2018): 19, doi:10.1186/s40645-018-0167-8.
    Description: The Quaternary hemipelagic sediments of the Japan Sea are characterized by centimeter- to decimeter-scale alternation of dark and light clay to silty clay, which are bio-siliceous and/or bio-calcareous to a various degree. Each of the dark and light layers are considered as deposited synchronously throughout the deeper (〉 500 m) part of the sea. However, attempts for correlation and age estimation of individual layers are limited to the upper few tens of meters. In addition, the exact timing of the depositional onset of these dark and light layers and its synchronicity throughout the deeper part of the sea have not been explored previously, although the onset timing was roughly estimated as ~ 1.5 Ma based on the result of Ocean Drilling Program legs 127/128. Consequently, it is not certain exactly when their deposition started, whether deposition of dark and light layers was synchronous and whether they are correlatable also in the earlier part of their depositional history. The Quaternary hemipelagic sediments of the Japan Sea were drilled at seven sites during Integrated Ocean Drilling Program Expedition 346 in 2013. Alternation of dark and light layers was recovered at six sites whose water depths are 〉 ~ 900 m, and continuous composite columns were constructed at each site. Here, we report our effort to correlate individual dark layers and estimate their ages based on a newly constructed age model at Site U1424 using the best available paleomagnetic datum and marker tephras. The age model is further tuned to LR04 δ18O curve using gamma ray attenuation density (GRA) since it reflects diatom contents that are higher during interglacial high-stands. The constructed age model for Site U1424 is projected to other sites using correlation of dark layers to form a high-resolution and high-precision paleo-observatory network that allows to reconstruct changes in material fluxes with high spatio-temporal resolutions.
    Description: This work was supported by a grant from IODP Exp. 346 After Cruise Research Program, JAMSTEC, awarded to TR, IK, Irino T, Itaki T, ST, KY, SS, and KA and from JSPS KAKENHI grant number 16H01765 awarded to TR.
    Keywords: Quaternary sediments ; Japan Sea ; Inter-site correlation ; High-resolution age model ; IODP ; Expedition 346 ; U1424 ; U1425 ; U1426 ; U1430
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 2
    Publication Date: 2022-05-25
    Description: © The Author(s), 2017. This is the author's version of the work. It is posted here under a nonexclusive, irrevocable, paid-up, worldwide license granted to WHOI. It is made available for personal use, not for redistribution. The definitive version was published in Geochimica et Cosmochimica Acta 213 (2017): 291-307, doi:10.1016/j.gca.2017.06.041.
    Description: Thallium (Tl) isotopes are a new and potentially powerful paleoredox proxy that may track bottom water oxygen conditions based on the global burial flux of manganese oxides. Thallium has a residence time of ~20 thousand years, which is longer than the ocean mixing time, and it has been inferred that modern oxic seawater is conservative with respect to both concentration and isotopes. Marine sources of Tl have nearly identical isotopic values. Therefore, the Tl sinks, adsorption onto manganese oxides and low temperature oceanic crust alteration (the dominant seawater output), are the primary controls of the seawater isotopic composition. For relatively short-term, ~million years, redox events it is reasonable to assume that the dominant mechanism that alters the Tl isotopic composition of seawater is associated with manganese oxide burial because large variability in low temperature ocean crust alteration is controlled by long-term, multi-million years, average ocean crust production rates. This study presents new Tl isotope data for an open ocean transect in the South Atlantic, and depth transects for two euxinic basins (anoxic and free sulfide in the water column), the Cariaco Basin and Black Sea. The Tl isotopic signature of open ocean seawater in the South Atlantic was found to be homogeneous with ε205Tl = -6.0 ± 0.3 (± 2 SD, n = 41) while oxic waters from Cariaco and the Black Sea are -5.6 and -2.2, respectively. Combined with existing data from the Pacific and Arctic Oceans, our Atlantic data establish the conservatism of Tl isotopes in the global ocean. In contrast, partially- and predominantly-restricted basins reveal Tl isotope differences that vary between open-ocean (-6) and continental material (-2) ε205Tl, scaling with the degree of restriction. Regardless of the differences between basins, Tl is quantitatively removed from their euxinic waters below the chemocline. The burial of Tl in euxinic sediments is estimated to be an order of magnitude less than each of the modern ocean outputs and imparts no isotopic fractionation. Thallium removal into pyrite appears to be associated with a small negative fractionation between -1 and -3 ε205Tl, which renders Tl-depleted waters below the chemocline enriched in isotopically-heavy Tl. Due to the quantitative removal of Tl from euxinic seawater, Tl isotope analyses of the authigenic fraction of underlying euxinic sediments from both the Black Sea and Cariaco Basin capture the Tl isotope value of the oxic portion of their respective water column with no net isotope fractionation. Since the Tl isotope composition of seawater is largely dictated by the relative fraction of Mn-oxide burial versus oceanic crust alteration, we contend that the Tl isotope composition of authigenic Tl in black shales, deposited under euxinic conditions but well-connected to the open ocean, can be utilized to reconstruct the Tl isotope composition of seawater, and thus to reconstruct the global history of Mn-oxide burial.
    Description: JDO and SGN would like to thank NSF and NASA for funding; JDO and TJH gratefully acknowledges support from the Agouron Institute Postdoctoral Fellowship Program.
    Keywords: Seawater ; Toarcian ; Global redox ; Anoxia ; Tl ; Reducing
    Repository Name: Woods Hole Open Access Server
    Type: Preprint
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  • 3
    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 Dunlea, A. G., Murray, R. W., Tada, R., Alvarez-Zarikian, C. A., Anderson, C. H., Gilli, A., Giosan, L., Gorgas, T., Hennekam, R., Irino, T., Murayama, M., Peterson, L. C., Reichart, G., Seki, A., Zheng, H., & Ziegler, M. Intercomparison of XRF core scanning results from seven labs and approaches to practical calibration. Geochemistry Geophysics Geosystems, 21(9), (2020): e2020GC009248, doi:10.1029/2020GC009248.
    Description: X‐ray fluorescence (XRF) scanning of marine sediment has the potential to yield near‐continuous and high‐resolution records of elemental abundances, which are often interpreted as proxies for paleoceanographic processes over different time scales. However, many other variables also affect scanning XRF measurements and convolute the quantitative calibrations of element abundances and comparisons of data from different labs. Extensive interlab comparisons of XRF scanning results and calibrations are essential to resolve ambiguities and to understand the best way to interpret the data produced. For this study, we sent a set of seven marine sediment sections (1.5 m each) to be scanned by seven XRF facilities around the world to compare the outcomes amidst a myriad of factors influencing the results. Results of raw element counts per second (cps) were different between labs, but element ratios were more comparable. Four of the labs also scanned a set of homogenized sediment pellets with compositions determined by inductively coupled plasma‐optical emission spectrometry (ICP‐OES) and ICP‐mass spectrometry (MS) to convert the raw XRF element cps to concentrations in two ways: a linear calibration and a log‐ratio calibration. Although both calibration curves are well fit, the results show that the log‐ratio calibrated data are significantly more comparable between labs than the linearly calibrated data. Smaller‐scale (higher‐resolution) features are often not reproducible between the different scans and should be interpreted with caution. Along with guidance on practical calibrations, our study recommends best practices to increase the quality of information that can be derived from scanning XRF to benefit the field of paleoceanography.
    Description: Funding for this research was provided by the U.S. National Science Foundation to R. W. M. (Grant 1130531). USSSP postcruise support was provided to Expedition 346 shipboard participants A. G. D., R. W. M., L. G., C. A. Z., and L. P. Portions of this material are based upon work supported while R. W. M. was serving at the National Science Foundation.
    Keywords: XRF scanning ; Quantitative XRF ; Paleoceanography ; Sedimentary geochemistry ; XRF calibration ; XRF intercomparison
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 4
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    In:  Supplement to: Peterson, Larry C (1984): Recent abyssal benthic foraminiferal biofacies of the eastern equatorial Indian Ocean. Marine Micropaleontology, 8(6), 479-519, https://doi.org/10.1016/0377-8398(84)90010-0
    Publication Date: 2023-06-27
    Description: Study of Recent abyssal benthic foraminifera from core-top samples in the eastern equatorial Indian Ocean has identified distinctive faunas whose distribution patterns reflect the major hydrographic features of the region. Above 3800 m, Indian Deep Water (IDW) is characterized by a diverse and evenly-distributed biofacies to which Globocassidulina subglobosa, Pyrgo spp., Uvigerina peregrina, and Eggerella bradyi are the major contributors. Nuttalides umbonifera and Epistominella exigua are associated with Indian Bottom Water (IBW) below 3800 m. Within the IBW fauna, N. umbonifera and E. exigua are characteristic of two biofacies with independent distribution patterns. Nuttalides umbonifera systematically increases in abundance with increasing water depth. The E. exigua biofacies reaches its greatest abundance in sediments on the eastern flank of the Ninetyeast Ridge and in the Wharton-Cocos Basin. The hydrographic transition between IDW and IBW coincides with the level of transition from waters supersaturated to waters undersaturated with respect to calcite and with the depth of the lysocline. Carbonate saturation levels, possibly combined with the effects of selective dissolution on the benthic foraminiferal populations, best explain the change in faunas across the IDW/IBW boundary and the bathymetric distribution pattern of N. umbonifera. The distribution of the E. exigua fauna cannot be explained with this model. Epistominella exigua is associated with the colder, more oxygenated IBW of the Wharton-Cocos Basin. The distribution of this biofacies on the eastern flank of the Ninetyeast Ridge agrees well with the calculated bathymetric position of the northward flowing deep boundary current which aerates the eastern basins of the Indian Ocean.
    Keywords: GC; Gravity corer; Indian Ocean; Marion Dufresne (1972); MD13; MD77-146; MD77-148; MD77-149; MD77-150; MD77-151; MD77-152; MD77-153; MD77-154; MD77-155; MD77-156; MD77-159; MD77-160; OSIRIS III; PC; Piston corer; RC14; RC14-21TW; RC14-29; RC14-31TW; RC14-33TW; RC14-34TW; RC14-35TW; RC14-36; RC14-37TW; RC14-53TW; RC17; RC17-131TW; RC17-132TW; RC17-135; RC17-136TW; RC17-137TW; Robert Conrad; TC; Trigger corer; V28; V28-352; V28-352TW; V29; V29-3; V29-4; V29-8; V34; V34-48TW; V34-49; V34-50; V34-51; V34-52; V34-53; V34-54; V34-56; V34-58; V34-59; V34-60; Vema
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 5
    Publication Date: 2023-05-12
    Keywords: Factor 1; Factor 2; Factor 3; Principal component analyses (PCA), Q-mode; Species
    Type: Dataset
    Format: text/tab-separated-values, 156 data points
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  • 6
    Publication Date: 2023-05-12
    Keywords: Factor 1; Factor 2; Factor 3; Factor 4; Principal component analyses (PCA), Q-mode; Species
    Type: Dataset
    Format: text/tab-separated-values, 195 data points
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  • 7
    Publication Date: 2023-07-10
    Keywords: Anomalina globulosa; Astrononion echolsi; Bulimina aculeata; Bulimina alazanensis; Cassidulina carinata; Cassidulinoides mexicana; Ceratobulimina pacifica; Cibicidoides cicatricosus; Cibicidoides kullenbergi; Cibicidoides lobatulus; DEPTH, sediment/rock; Eggerella bradyi; Ehrenbergina trigona; Elevation of event; Epistominella exigua; Event label; Fissurina spp.; Foraminifera, benthic agglutinated indeterminata; GC; Globocassidulina subglobosa; Gravity corer; Gyroidina cf. gemma; Gyroidinoides orbicularis; Gyroidinoides soldanii; Gyroidinoides sp.; Hoeglundina elegans; Indian Ocean; Lagena spp.; Laticarinina pauperata; Latitude of event; Lenticulina spp.; Longitude of event; Marion Dufresne (1972); MD13; MD77-146; MD77-148; MD77-149; MD77-150; MD77-151; MD77-152; MD77-153; MD77-154; MD77-155; MD77-156; MD77-159; MD77-160; Melonis pompilioides; Nuttallides umbonifera; Oolina spp.; Oridorsalis umbonatus; Osangularia culter; OSIRIS III; Parafissurina spp.; PC; Piston corer; Planulina wuellerstorfi; Pullenia bulloides; Pullenia simplex; Pyrgo spp.; Quinqueloculina cf. weaveri; Quinqueloculina venusta; RC14; RC14-21TW; RC14-29; RC14-31TW; RC14-33TW; RC14-34TW; RC14-35TW; RC14-36; RC14-37TW; RC14-53TW; RC17; RC17-131TW; RC17-132TW; RC17-135; RC17-136TW; RC17-137TW; Robert Conrad; Siphotextularia catenata; Sphaeroidina bulloides; TC; Trigger corer; Uvigerina peregrina; V28; V28-352; V28-352TW; V29; V29-3; V29-4; V29-8; V34; V34-48TW; V34-49; V34-50; V34-51; V34-52; V34-53; V34-54; V34-56; V34-58; V34-59; V34-60; Vema
    Type: Dataset
    Format: text/tab-separated-values, 1677 data points
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  • 8
    Publication Date: 2023-06-27
    Keywords: Communality; DEPTH, sediment/rock; Elevation of event; Event label; Factor 1; Factor 2; Factor 3; GC; Gravity corer; Indian Ocean; Latitude of event; Longitude of event; Marion Dufresne (1972); MD13; MD77-146; MD77-148; MD77-149; MD77-150; MD77-151; MD77-152; MD77-153; MD77-154; MD77-155; MD77-156; MD77-159; MD77-160; OSIRIS III; PC; Piston corer; Principal component analyses (PCA), Q-mode; RC14; RC14-21TW; RC14-29; RC14-31TW; RC14-33TW; RC14-34TW; RC14-35TW; RC14-36; RC14-37TW; RC14-53TW; RC17; RC17-131TW; RC17-132TW; RC17-135; RC17-136TW; RC17-137TW; Robert Conrad; TC; Trigger corer; V28; V28-352; V28-352TW; V29; V29-3; V29-4; V29-8; V34; V34-48TW; V34-49; V34-50; V34-51; V34-52; V34-53; V34-54; V34-56; V34-58; V34-59; V34-60; Vema
    Type: Dataset
    Format: text/tab-separated-values, 172 data points
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  • 9
    Publication Date: 2023-06-27
    Keywords: Communality; DEPTH, sediment/rock; Elevation of event; Event label; Factor 1; Factor 2; Factor 3; Factor 4; GC; Gravity corer; Indian Ocean; Latitude of event; Longitude of event; Marion Dufresne (1972); MD13; MD77-146; MD77-148; MD77-149; MD77-150; MD77-151; MD77-152; MD77-153; MD77-154; MD77-155; MD77-156; MD77-159; MD77-160; OSIRIS III; PC; Piston corer; Principal component analyses (PCA), Q-mode; RC14; RC14-21TW; RC14-29; RC14-31TW; RC14-33TW; RC14-34TW; RC14-35TW; RC14-36; RC14-37TW; RC14-53TW; RC17; RC17-131TW; RC17-132TW; RC17-135; RC17-136TW; RC17-137TW; Robert Conrad; TC; Trigger corer; V28; V28-352; V28-352TW; V29; V29-3; V29-4; V29-8; V34; V34-48TW; V34-49; V34-50; V34-51; V34-52; V34-53; V34-54; V34-56; V34-58; V34-59; V34-60; Vema
    Type: Dataset
    Format: text/tab-separated-values, 215 data points
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  • 10
    Publication Date: 2023-10-05
    Keywords: Age model; Calcium carbonate; Calcium carbonate, flux; CALYPSO; Calypso Corer; DEPTH, sediment/rock; Isotope dilution inductively coupled plasma mass spectrometry; MD03-2705; North Atlantic; Opal, biogenic silica; Opal, flux; Protactinium/Thorium ratio; Th-normalized; Thorium-230 excess; Thorium-232; Thorium-232, flux; Total sediment, flux; Uranium-238, authigenic; Uranium-238, flux
    Type: Dataset
    Format: text/tab-separated-values, 583 data points
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