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  • Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu  (12)
  • Wiley  (2)
  • 1
    Publication Date: 2024-02-07
    Description: Early studies revealed relationships between barium (Ba), particulate organic carbon and silicate, suggesting applications for Ba as a paleoproductivity tracer and as a tracer of modern ocean circulation. But, what controls the distribution of barium (Ba) in the oceans? Here, we investigated the Arctic Ocean Ba cycle through a one-of-a-kind data set containing dissolved (dBa), particulate (pBa), and stable isotope Ba ratio (δ138Ba) data from four Arctic GEOTRACES expeditions conducted in 2015. We hypothesized that margins would be a substantial source of Ba to the Arctic Ocean water column. The dBa, pBa, and δ138Ba distributions all suggest significant modification of inflowing Pacific seawater over the shelves, and the dBa mass balance implies that ∼50% of the dBa inventory (upper 500 m of the Arctic water column) was supplied by nonconservative inputs. Calculated areal dBa fluxes are up to 10 μmol m−2 day−1 on the margin, which is comparable to fluxes described in other regions. Applying this approach to dBa data from the 1994 Arctic Ocean Survey yields similar results. The Canadian Arctic Archipelago did not appear to have a similar margin source; rather, the dBa distribution in this section is consistent with mixing of Arctic Ocean-derived waters and Baffin Bay-derived waters. Although we lack enough information to identify the specifics of the shelf sediment Ba source, we suspect that a sedimentary remineralization and terrigenous sources (e.g., submarine groundwater discharge or fluvial particles) are contributors.
    Type: Article , PeerReviewed
    Format: text
    Format: text
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  • 2
    Publication Date: 2022-05-25
    Description: Dataset: GP15 Ba Isotope Ratios Leg 2
    Description: This dataset reports barium isotope ratios (δ138Ba) in small size fraction particles Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from October to November 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/834066
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736949
    Description: 2021-12-31
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2022-05-25
    Description: Dataset: GN01 Dissolved Ba Cd Cu Ga Mn Ni and V
    Description: Dissolved Ba, Cd, Cu, Ga, Mn, Ni, and V concentration data from the US GEOTRACES Arctic Expedition (GN01, HLY1502) from August to October 2015. Clean seawater samples were collected using a GEOTRACES CTD referred to as GT-C/12L GoFlo. Additional near surface samples were collected using either a small boat or through the ice using Teflon coated Tygon tubing and a trace metal clean pump (IWAKI, model WMD-30LFY-115). This dataset also includes selected stable Ba isotope analyses. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/772645
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736949, NSF Division of Ocean Sciences (NSF OCE) OCE-1436312
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2022-05-25
    Description: Dataset: GP15 Ba Isotope Ratios Leg 1
    Description: This dataset reports barium isotope ratios (δ138Ba) in small size fraction particles from Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/834052
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736949
    Description: 2021-12-31
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2022-10-31
    Description: Dataset: Particulate and dissolved Lake Superior geochemistry
    Description: Particles are important vectors of nutrients, carbon, and several trace metals within large bodies of water. Broadly speaking, particle distributions can be classified into three major groups on the basis of their multi-element geochemistry: biogenic (organic matter-associated phases and tests); lithogenic (highly refractory rock-derived materials); and authigenic (formed in situ below the euphotic zone). We collected particulate samples spanning the full water column of Lake Superior at Stations FWM (46.998528, -91.246250) and WM (47.331611, -89.821389) during the height of 2015 summer thermal stratification (cruise BH15-11). We analyzed particle leachates for their multi-element geochemistry using ICP-MS (inductively-coupled plasma mass spectrometry) at the Woods Hole Oceanographic Institution Plasma Facility. We report elemental concentrations in Lake Superior particulate matter in (nano or pico) moles per liter, defined by a 0.44 um filter cutoff. Lithogenic cycles are resolved by Al, Fe, Ti, V, and Y; biogenic phases by Ca, Cd, P, and Sr; and authigenic processes by Ba, Cd, and Mn. Several elements exhibit hybrid-type distributions depending on the depth range under investigation. Also reported are stable barium-isotopic distributions for particulate and total dissolvable Ba, measured using multiple-collector ICP-MS and reported relative to NIST SRM 3104a in permill. For a complete list of measurements, refer to the supplemental document 'Field_names.pdf', and a full dataset description is included in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: http://www.bco-dmo.org/dataset/680091
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1430015, NSF Division of Ocean Sciences (NSF OCE) OCE-1443577
    Keywords: Lake Superior ; Particulate profiles ; Trace elements ; Barium isotopic distributions
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 6
    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 Farrell, U. C., Samawi, R., Anjanappa, S., Klykov, R., Adeboye, O. O., Agic, H., Ahm, A.-S. C., Boag, T. H., Bowyer, F., Brocks, J. J., Brunoir, T. N., Canfield, D. E., Chen, X., Cheng, M., Clarkson, M. O., Cole, D. B., Cordie, D. R., Crockford, P. W., Cui, H., Dahl, T. W., Mouro, L. D., Dewing, K., Dornbos, S. Q., Drabon, N., Dumoulin, J. A., Emmings, J. F., Endriga, C. R., Fraser, T. A., Gaines, R. R., Gaschnig, R. M., Gibson, T. M., Gilleaudeau, G. J., Gill, B. C., Goldberg, K., Guilbaud, R., Halverson, G. P., Hammarlund, E. U., Hantsoo, K. G., Henderson, M. A., Hodgskiss, M. S. W., Horner, Tristan J., Husson, J. M., Johnson, B., Kabanov, P., Brenhin K. C., Kimmig, J., Kipp, M. A., Knoll, A. H., Kreitsmann, T., Kunzmann, M., Kurzweil, F., LeRoy, M. A., Li, C., Lipp, A. G., Loydell, D. K., Lu, X., Macdonald, F. A., Magnall, J. M., Mänd, K., Mehra, A., Melchin, M. J., Miller, A. J., Mills, N. T., Mwinde, C. N., O'Connell, B., Och, L. M., Ossa Ossa, F., Pagès, A., Paiste, K., Partin, C. A., Peters, S. E., Petrov, P., Playter, T. L., Plaza-Torres, S., Porter, Susannah M., Poulton, S. W., Pruss, S. B., Richoz, S., Ritzer, S. R., Rooney, A. D., Sahoo, S. K., Schoepfer, S. D., Sclafani, J. A., Shen, Y., Shorttle, O., Slotznick, S. P., Smith, E. F., Spinks, S., Stockey, R. G., Strauss, J. V., Stüeken, E. E., Tecklenburg, S., Thomson, D., Tosca, N. J., Uhlein, G. J., Vizcaíno, M. N., Wang, H., White, T., Wilby, P. R., Woltz, C. R., Wood, R. A., Xiang, L., Yurchenko, I. A., Zhang, T., Planavsky, N. J., Lau, K. V., Johnston, D. T., Sperling, E. A., The Sedimentary Geochemistry and Paleoenvironments Project. Geobiology. 00, (2021): 1– 12,https://doi.org/10.1111/gbi.12462.
    Description: Geobiology explores how Earth's system has changed over the course of geologic history and how living organisms on this planet are impacted by or are indeed causing these changes. For decades, geologists, paleontologists, and geochemists have generated data to investigate these topics. Foundational efforts in sedimentary geochemistry utilized spreadsheets for data storage and analysis, suitable for several thousand samples, but not practical or scalable for larger, more complex datasets. As results have accumulated, researchers have increasingly gravitated toward larger compilations and statistical tools. New data frameworks have become necessary to handle larger sample sets and encourage more sophisticated or even standardized statistical analyses. In this paper, we describe the Sedimentary Geochemistry and Paleoenvironments Project (SGP; Figure 1), which is an open, community-oriented, database-driven research consortium. The goals of SGP are to (1) create a relational database tailored to the needs of the deep-time (millions to billions of years) sedimentary geochemical research community, including assembling and curating published and associated unpublished data; (2) create a website where data can be retrieved in a flexible way; and (3) build a collaborative consortium where researchers are incentivized to contribute data by giving them priority access and the opportunity to work on exciting questions in group papers. Finally, and more idealistically, the goal was to establish a culture of modern data management and data analysis in sedimentary geochemistry. Relative to many other fields, the main emphasis in our field has been on instrument measurement of sedimentary geochemical data rather than data analysis (compared with fields like ecology, for instance, where the post-experiment ANOVA (analysis of variance) is customary). Thus, the longer-term goal was to build a collaborative environment where geobiologists and geologists can work and learn together to assess changes in geochemical signatures through Earth history.
    Description: We thank the donors of The American Chemical Society Petroleum Research Fund for partial support of SGP website development (61017-ND2). EAS is funded by National Science Foundation grant (NSF) EAR-1922966. BGS authors (JE, PW) publish with permission of the Executive Director of the British Geological Survey, UKRI.
    Keywords: Consortium ; Database ; Earth history ; Geochemistry ; Website
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 7
    Publication Date: 2022-05-27
    Description: Dataset: GP15 Ba Isotope Ratios Leg 1
    Description: This dataset reports barium isotope ratios (δ138Ba) in small size fraction particles from Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/834052
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736949
    Description: 2021-12-31
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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  • 8
    Publication Date: 2022-05-27
    Description: Dataset: GN01 Dissolved Ba Cd Cu Ga Mn Ni and V
    Description: Dissolved Ba, Cd, Cu, Ga, Mn, Ni, and V concentration data from the US GEOTRACES Arctic Expedition (GN01, HLY1502) from August to October 2015. Clean seawater samples were collected using a GEOTRACES CTD referred to as GT-C/12L GoFlo. Additional near surface samples were collected using either a small boat or through the ice using Teflon coated Tygon tubing and a trace metal clean pump (IWAKI, model WMD-30LFY-115). This dataset also includes selected stable Ba isotope analyses. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/772645
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736949, NSF Division of Ocean Sciences (NSF OCE) OCE-1436312
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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  • 9
    Publication Date: 2022-05-27
    Description: Dataset: GP15 Ba Isotope Ratios Leg 2
    Description: This dataset reports barium isotope ratios (δ138Ba) in small size fraction particles Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from October to November 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/834066
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736949
    Description: 2021-12-31
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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  • 10
    Publication Date: 2022-05-27
    Description: Dataset: BH15-11 Underway data
    Description: Underway data for Blue Heron cruise BH15-11 in the western arm of Lake Superior from August 2015 (Early Career Great Lakes research project, Novel Nutrient Paleoproxy project). Underway surface sampling was collected aboard the RV Blue Heron during cruise BH15-11, which sailed from Duluth MN to Duluth MN during August 2015. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/709669
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1430015, NSF Division of Ocean Sciences (NSF OCE) OCE-1443577
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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