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  • 1
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    Unknown
    Trace metal and black carbon data in seawater samples taken in southern California during the 2017 Thomas Fire (2021)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Keywords: Ammonia; black carbon; Black carbon, dissolved; Cadmium; Carbon, organic, dissolved; Chlorophyll a; Cobalt; Copper; Date/Time of event; DEPTH, water; Event label; Iron; Latitude of event; Lead; Longitude of event; Manganese; Nickel; Nitrate and Nitrite; Phosphate; Replicates; Salinity; Santa Barbara Basin; Santa Barbara Basin, California, United States of America; SBB_SW-1; SBB_SW-2; SBB_SW-3; SBB_SW-4; SBB_SW-5; SBB_SW-6; SBB_SW-7; SBB_SW-8; Silicate; SW-1; SW-2; SW-3; SW-4; SW-5; SW-6; SW-7; SW-8; Temperature, water; Thomas Fire; trace metals; Ventura River; wildfire; Zinc; δ13C, chlorophyll a; δ13C, chlorophyll a, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 164 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 2
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    Unknown
    Trace metal and black carbon data in river water samples taken in southern California during the 2017 Thomas Fire (2021)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Keywords: black carbon; Black carbon, dissolved; Cadmium; Calculated; Carbon, organic, dissolved; Cobalt; Comment; Copper; Date/Time of event; Discharge; Event label; Height; Iron; Latitude of event; Lead; Longitude of event; Manganese; Nickel; Santa Barbara Basin; Thomas Fire; Time in hours; trace metals; Ventura River; Ventura River, California, United States of America; VR-1; VR-10; VR-11; VR-12; VR-13; VR-2; VR-3; VR-4; VR-5; VR-6; VR-7; VR-8; VR-9; wildfire; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 287 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 3
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    Trace metal and black carbon data in aerosol, seawater, and floodwater samples taken in southern California during the 2017 Thomas Fire (2021)
    PANGAEA
    Details
    Publication Date: 2023-07-11
    Description: Aerosol, seawater, and floodwater samples were taken during the 2017 California Thomas Fire and subsequent flash flood event. These samples were used to examine how fire-flood sequences affect metal and black carbon delivery to coastal waters, such as the Santa Barbara Basin (SBB). On day 11 of the Thomas Fire, aerosols sampled at sea level under a smoke plume over the SBB found high levels of PM2.5, levoglucosan, and black carbon (average: 49 μg/m^3, 1.05 μg/m^3, 14.93 μg/m^3, respectively) and both soluble and total aerosol metal concentrations were consistent with a forest fire signature. Metal, nutrient, and chlorophyll a concentrations in surface seawater (average: 2.42 nM Fe, 0.14 µM phosphate, and 0.44 µgChla/L) were similar to concentrations during non-fire conditions, thus we could not establish fire-related increases in the SBB surface waters. On days 37 to 40 of the fire, before, during, and after a flash flood in the Ventura River, dissolved organic carbon, dissolved black carbon, and dissolved metal concentrations were positively correlated with discharge. Our findings confirm that black carbon and metals were released by the Thomas Fire and transported by both atmospheric and fluvial pathways.
    Keywords: black carbon; Santa Barbara Basin; Thomas Fire; trace metals; Ventura River; wildfire
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 4
    facet.materialart.
    Unknown
    Trace metal and black carbon data in aerosol samples taken in southern California during the 2017 Thomas Fire (2021)
    PANGAEA
    Details
    Publication Date: 2023-07-11
    Keywords: black carbon; Black carbon, aerosol; Cadmium; Cadmium, soluble; Cobalt; Cobalt, soluble; Copper; Copper, soluble; Date/time end; Date/time start; Iron; Iron, soluble; Lead; Lead, soluble; Levoglucosan; Manganese; Manganese, soluble; Manganese, total; Nickel; Nickel, soluble; Particulate matter, 〈 2.5 µm; Sample ID; Sample volume; Santa_Barbara_Basin_Aerosols; Santa Barbara Basin; Size fraction; Thomas Fire; trace metals; Ventura River; wildfire; Zinc; Zinc, soluble
    Type: Dataset
    Format: text/tab-separated-values, 383 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 5
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    Metal data collected during the Tara Pacific Expedition 2016-2018 (2022)
    PANGAEA
    Details
    Publication Date: 2024-01-06
    Description: The Tara Pacific expedition (2016-2018) sampled coral ecosystems around 32 islands in the Pacific Ocean, and sampled the surface of oceanic waters at 249 locations, resulting in the collection of nearly 58,000 samples. The expedition was designed to systematically study corals, fish, plankton, and seawater, and included the collection of samples for advanced biogeochemical, molecular, and imaging analysis. Here we provide the total dissolvable (i.e. acidified unfiltered whole seawater) Fe, Zn, Mn, Ni, Cd, Co, Cu, and Pb concentrations for 242 surface seawater samples. Trace metal analyses were performed with the goals of characterizing the surface seawater trace metal distribution across the open ocean and coastal regions in both the Atlantic and Pacific, and exploring metal-dependent ecosystem structure and metabolism. Some of the findings include high concentrations of iron (Fe) and manganese (Mn) in several regions, such as the North Atlantic Ocean and near the South Pacific islands, possibly due to Saharan dust and hydrothermal vent input, respectively. Elevated lead (Pb) was found in the North Pacific near southeast Asia, where anthropogenic sources may contribute. We also observe interbasin differences in concentrations for most of the metals, such as cobalt (Co), which is relatively high in the North Atlantic in comparison to the Pacific, perhaps due to dust deposition or continental weathering. There are also intrabasin differences in metal concentrations between oligotrophic and upwelling regions, exemplified by the higher cadmium (Cd) concentrations near the Peruvian coast, likely due to upwelling. Overall we captured high-resolution trace metal data that depicts the nuances in the metal distribution of the global ocean.
    Keywords: Bottle, multi level trace metal; Cadmium, dissolved; Cobalt, dissolved; Comment; Copper, dissolved; Depth, bottom/max; Depth, top/min; DEPTH, water; Environmental feature; Event label; Fondation Tara Expeditions; FondTara; HANDHELD-BOW-POLE; INLINE-PUMP; Iron, dissolved; Lead, dissolved; Manganese, dissolved; MLTM; Nickel, dissolved; OA000-I00-S00; OA000-I10-S01; OA000-I10-S02; OA000-I14-S00; OA000-I18-S03; OA000-I21-S01; OA000-I21-S02; OA000-I31-S00; OA001-I00-S00; OA002-I00-S00; OA003-I00-S00; OA004-I00-S00; OA005-I00-S00; OA006-I00-S00; OA009-I00-S00; OA010-I00-S00; OA011-I00-S00; OA012-I00-S00; OA013-I00-S00; OA014-I00-S00; OA015-I00-S00; OA016-I00-S00; OA017-I00-S00; OA018-I00-S00; OA019-I00-S00; OA020-I00-S00; OA021-I00-S00; OA022-I00-S00; OA023-I00-S00; OA024-I00-S00; OA025-I00-S00; OA026-I00-S00; OA027-I00-S00; OA028-I00-S00; OA029-I03-S00; OA030-I03-S00; OA031-I00-S00; OA032-I00-S00; OA033-I00-S00; OA039-I00-S00; OA040-I00-S00; OA041-I04-S00; OA042-I04-S00; OA043-I04-S00; OA044-I04-S00; OA045-I00-S00; OA046-I00-S00; OA047-I00-S00; OA048-I05-S00; OA049-I05-S00; OA050-I05-S00; OA051-I00-S00; OA052-I00-S00; OA053-I06-S00; OA054-I06-S00; OA055-I06-S00; OA056-I00-S00; OA057-I00-S00; OA058-I00-S00; OA061-I07-S00; OA062-I00-S00; OA063-I08-S00; OA064-I08-S00; OA065-I00-S00; OA066-I09-S00; OA067-I09-S00; OA068-I10-S00; OA069-I10-S00; OA070-I10-S00; OA071-I10-S00; OA072-I11-S00; OA073-I11-S00; OA074-I11-S00; OA075-I12-S00; OA076-I12-S00; OA077-I12-S00; OA078-I00-S00; OA079-I00-S00; OA080-I13-S00; OA081-I13-S00; OA082-I13-S00; OA083-I13-S00; OA084-I00-S00; OA085-I00-S00; OA086-I00-S00; OA087-I00-S00; OA088-I00-S00; OA089-I14-S00; OA090-I14-S00; OA091-I14-S00; OA092-I15-S00; OA093-I15-S00; OA094-I00-S00; OA095-I16-S00; OA096-I00-S00; OA097-I00-S00; OA098-I00-S00; OA099-I00-S00; OA100-I00-S00; OA101-I00-S00; OA102-I00-S00; OA103-I00-S00; OA104-I00-S00; OA105-I00-S00; OA106-I00-S00; OA107-I00-S00; OA108-I00-S00; OA109-I00-S00; OA110-I00-S00; OA111-I00-S00; OA112-I00-S00; OA113-I00-S00; OA114-I00-S00; OA115-I00-S00; OA116-I00-S00; OA117-I00-S00; OA118-I00-S00; OA119-I00-S00; OA120-I00-S00; OA121-I00-S00; OA122-I00-S00; OA123-I00-S00; OA124-I00-S00; OA125-I00-S00; OA126-I00-S00; OA127-I18-S00; OA128-I18-S00; OA129-I18-S00; OA130-I18-S00; OA131-I00-S00; OA132-I00-S00; OA133-I00-S00; OA134-I00-S00; OA135-I00-S00; OA136-I00-S00; OA137-I00-S00; OA139-I00-S00; OA140-I19-S00; OA141-I19-S00; OA142-I19-S00; OA143-I19-S00; OA144-I00-S00; OA145-I20-S00; OA146-I20-S00; OA147-I00-S00; OA148-I21-S00; OA149-I21-S00; OA150-I00-S00; OA151-I00-S00; OA152-I00-S00; OA153-I00-S00; OA154-I00-S00; OA155-I22-S00; OA156-I23-S00; OA157-I23-S00; OA158-I23-S00; OA159-I23-S00; OA160-I24-S00; OA161-I24-S00; OA162-I24-S00; OA163-I00-S00; OA164-I00-S00; OA165-I00-S00; OA166-I25-S00; OA167-I26-S00; OA168-I26-S00; OA169-I00-S00; OA170-I27-S00; OA171-I27-S00; OA172-I28-S00; OA173-I00-S00; OA174-I00-S00; OA175-I00-S00; OA176-I00-S00; OA177-I00-S00; OA178-I00-S00; OA179-I00-S00; OA180-I00-S00; OA181-I00-S00; OA182-I00-S00; OA184-I00-S00; OA185-I00-S00; OA186-I00-S00; OA187-I00-S00; OA188-I00-S00; OA189-I00-S00; OA190-I29-S00; OA191-I29-S00; OA192-I00-S00; OA193-I00-S00; OA194-I00-S00; OA195-I00-S00; OA196-I00-S00; OA197-I00-S00; OA198-I00-S00; OA199-I00-S00; OA200-I00-S00; OA201-I00-S00; OA202-I00-S00; OA203-I00-S00; OA204-I00-S00; OA205-I00-S00; OA206-I00-S00; OA207-I00-S00; OA208-I00-S00; OA209-I00-S00; OA210-I00-S00; OA211-I00-S00; OA212-I00-S00; OA213-I00-S00; OA214-I00-S00; OA216-I30-S00; OA217-I00-S00; OA218-I00-S00; OA221-I31-S00; OA223-I00-S00; OA224-I00-S00; OA225-I00-S00; OA226-I00-S00; OA227-I00-S00; OA228-I00-S00; OA229-I00-S00; OA230-I32-S00; OA232-I32-S00; OA233-I00-S00; OA234-I00-S00; OA235-I00-S00; OA236-I00-S00; OA237-I00-S00; OA238-I00-S00; OA240-I00-S00; OA241-I00-S00; OA242-I00-S00; OA243-I00-S00; OA244-I00-S00; OA245-I00-S00; OA246-I00-S00; OA247-I00-S00; OA249-I00-S00; Pacific; Quality control; Sample code/label; Sample comment; Sample ID; surface seawater; SV Tara; TARA_20160529T1635Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160530T1630Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160531T1345Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160601T1629Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160602T1436Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160604T1445Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160605T1850Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160608T1605Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160609T1734Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160610T1502Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160611T1513Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160613T1430Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160614T1325Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160615T1643Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160616T1906Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160617T1920Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160618T1702Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160619T1928Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160620T2234Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160621T1710Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160622T1700Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160623T1715Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160624T2100Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160625T1800Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160626T1800Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160627T1350Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160706T2202Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160712T1649Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160816T2000Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160817T2124Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160818T2253Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160819T2150Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160819T2355Z_D_O-SRF_INLINE-PUMP; TARA_20160820T2229Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160822T2300Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160823T2325Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160824T2325Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160825T2355Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160828T0013Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160828T1845Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160829T1944Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160830T1644Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160831T0515Z_N_I-SRF_HANDHELD-BOW-POLE; TARA_20160831T1723Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160908T0615Z_N_I-SRF_HANDHELD-BOW-POLE; TARA_20160909T2325Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160910T1615Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160911T1802Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160912T1712Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160917T1520Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160917T2237Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160919T0110Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160919T1708Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160920T2340Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160921T0603Z_N_I-SRF_HANDHELD-BOW-POLE; TARA_20160928T0751Z_N_I-SRF_HANDHELD-BOW-POLE; TARA_20160929T0110Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160929T1905Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20161001T1721Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20161111T0102Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161111T1810Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20161112T1810Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161118T0317Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161119T1921Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20161120T1915Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161120T2155Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161127T0232Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161127T2023Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161128T0826Z_N_I-SRF_HANDHELD-BOW-POLE; TARA_20161130T0206Z_D_S-SRF_HANDHELD-BOW-POLE; TARA_20161201T0215Z_D_S-SRF_HANDHELD-BOW-POLE; TARA_20161203T1902Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161204T0303Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161204T1723Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161228T0551Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161228T2150Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161229T2310Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20170103T0931Z_N_I-SRF_HANDHELD-BOW-POLE; TARA_20170103T2210Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20170104T2118Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20170105T2251Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20170106T0955Z_N_I-SRF_HANDHELD-BOW-POLE; TARA_20170106T2245Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20170112T0647Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20170112T2125Z_D_I-SRF_HANDHELD-
    Type: Dataset
    Format: text/tab-separated-values, 14588 data points
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  • 6
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    The GEOTRACES Intermediate Data Product 2017 (2018)
    In:  EPIC3Chemical Geology, 493, pp. 210-223, ISSN: 00092541
    Details
    Publication Date: 2018-08-13
    Description: The GEOTRACES Intermediate Data Product 2017 (IDP2017) is the second publicly available data product of the international GEOTRACES programme, and contains data measured and quality controlled before the end of 2016. The IDP2017 includes data from the Atlantic, Pacific, Arctic, Southern and Indian oceans, with about twice the data volume of the previous IDP2014. For the first time, the IDP2017 contains data for a large suite of biogeochemical parameters as well as aerosol and rain data characterising atmospheric trace element and isotope (TEI) sources. The TEI data in the IDP2017 are quality controlled by careful assessment of intercalibration results and multi-laboratory data comparisons at crossover stations. The IDP2017 consists of two parts: (1) a compilation of digital data for more than 450 TEIs as well as standard hydrographic parameters, and (2) the eGEOTRACES Electronic Atlas providing an on-line atlas that includes more than 590 section plots and 130 animated 3D scenes. The digital data are provided in several formats, including ASCII, Excel spreadsheet, netCDF, and Ocean Data View collection. Users can download the full data packages or make their own custom selections with a new on-line data extraction service. In addition to the actual data values, the IDP2017 also contains data quality flags and 1-σ data error values where available. Quality flags and error values are useful for data filtering and for statistical analysis. Metadata about data originators, analytical methods and original publications related to the data are linked in an easily accessible way. The eGEOTRACES Electronic Atlas is the visual representation of the IDP2017 as section plots and rotating 3D scenes. The basin-wide 3D scenes combine data from many cruises and provide quick overviews of large-scale tracer distributions. These 3D scenes provide geographical and bathymetric context that is crucial for the interpretation and assessment of tracer plumes near ocean margins or along ridges. The IDP2017 is the result of a truly international effort involving 326 researchers from 25 countries. This publication provides the critical reference for unpublished data, as well as for studies that make use of a large cross-section of data from the IDP2017. This article is part of a special issue entitled: Conway GEOTRACES - edited by Tim M. Conway, Tristan Horner, Yves Plancherel, and Aridane G. González.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 7
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    The Transpolar Drift as a Source of Riverine and Shelf-Derived Trace Elements to the Central Arctic Ocean (2020)
    In:  EPIC3Journal of Geophysical Research: Oceans, 125(5), pp. e2019JC015920
    Details
    Publication Date: 2020-07-09
    Description: Abstract A major surface circulation feature of the Arctic Ocean is the Transpolar Drift (TPD), a current that transports river-influenced shelf water from the Laptev and East Siberian Seas toward the center of the basin and Fram Strait. In 2015, the international GEOTRACES program included a high-resolution pan-Arctic survey of carbon, nutrients, and a suite of trace elements and isotopes (TEIs). The cruises bisected the TPD at two locations in the central basin, which were defined by maxima in meteoric water and dissolved organic carbon concentrations that spanned 600 km horizontally and ~25�50 m vertically. Dissolved TEIs such as Fe, Co, Ni, Cu, Hg, Nd, and Th, which are generally particle-reactive but can be complexed by organic matter, were observed at concentrations much higher than expected for the open ocean setting. Other trace element concentrations such as Al, V, Ga, and Pb were lower than expected due to scavenging over the productive East Siberian and Laptev shelf seas. Using a combination of radionuclide tracers and ice drift modeling, the transport rate for the core of the TPD was estimated at 0.9 ± 0.4 Sv (106 m3 s�1). This rate was used to derive the mass flux for TEIs that were enriched in the TPD, revealing the importance of lateral transport in supplying materials beneath the ice to the central Arctic Ocean and potentially to the North Atlantic Ocean via Fram Strait. Continued intensification of the Arctic hydrologic cycle and permafrost degradation will likely lead to an increase in the flux of TEIs into the Arctic Ocean.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 8
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    The GEOTRACES Intermediate Data Product 2014 (2015)
    In:  EPIC3Marine Chemistry, 177, pp. 1-8, ISSN: 03044203
    Details
    Publication Date: 2018-03-26
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 9
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    The {GEOTRACES} Intermediate Data Product 2014 (2015)
    In:  EPIC3Marine Chemistry, 177, P, pp. 1 - 8
    Details
    Publication Date: 2016-02-29
    Description: Abstract The {GEOTRACES} Intermediate Data Product 2014 (IDP2014) is the first publicly available data product of the international {GEOTRACES} programme, and contains data measured and quality controlled before the end of 2013. It consists of two parts: (1) a compilation of digital data for more than 200 trace elements and isotopes (TEIs) as well as classical hydrographic parameters, and (2) the eGEOTRACES Electronic Atlas providing a strongly inter-linked on-line atlas including more than 300 section plots and 90 animated 3D scenes. The {IDP2014} covers the Atlantic, Arctic, and Indian oceans, exhibiting highest data density in the Atlantic. The {TEI} data in the {IDP2014} are quality controlled by careful assessment of intercalibration results and multi-laboratory data comparisons at cross-over stations. The digital data are provided in several formats, including {ASCII} spreadsheet, Excel spreadsheet, netCDF, and Ocean Data View collection. In addition to the actual data values the {IDP2014} also contains data quality flags and 1-� data error values where available. Quality flags and error values are useful for data filtering. Metadata about data originators, analytical methods and original publications related to the data are linked to the data in an easily accessible way. The eGEOTRACES Electronic Atlas is the visual representation of the {IDP2014} data providing section plots and a new kind of animated 3D scenes. The basin-wide 3D scenes allow for viewing of data from many cruises at the same time, thereby providing quick overviews of large-scale tracer distributions. In addition, the 3D scenes provide geographical and bathymetric context that is crucial for the interpretation and assessment of observed tracer plumes, as well as for making inferences about controlling processes.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 10
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    The marine biogeochemistry of zinc isotopes (2007)
    Massachusetts Institute of Technology and Woods Hole Oceanographic Institution
    Details
    Publication Date: 2022-05-25
    Description: Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy at the Massachusetts Institute of Technology and the Woods Hole Oceanographic Institution June 2007
    Description: Zinc (Zn) stable isotopes can record information about important oceanographic processes. This thesis presents data on Zn isotopes in anthropogenic materials, hydrothermal fluids and minerals, cultured marine phytoplankton, natural plankton, and seawater. By measuring Zn isotopes in a diverse array of marine samples, we hope to understand how Zn isotopes are fractionated in the oceans and how Zn isotopes may be used as tracers of marine biogeochemical processes. Common forms of anthropogenic Zn had δ66Zn from +0.08‰ to +0.32‰, a range similar to Zn ores and terrigenous materials. Larger variations were discovered in hydrothermal fluids and minerals, with hydrothermal fluids ranging in δ66Zn from 0.02‰ to +0.93‰, and chimney minerals ranging from -0.09‰ to +1.17‰. Lower-temperature vent systems had higher δ66Zn values, suggesting that precipitation of isotopically light Zn sulfides drives much of the Zn isotope fractionation in hydrothermal systems. In cultured diatoms, a relationship was discovered between Zn transport by either high-affinity or low-affinity uptake pathways, and the magnitude of Zn isotope fractionation. We established isotope effects of δ66Zn = -0.2‰ for high-affinity uptake and δ66Zn = -0.8‰ for low-affinity uptake. This work is the first to describe the molecular basis for biological fractionation of transition metals. Biological fractionation of Zn isotopes under natural conditions was investigated by measuring Zn isotopes in plankton collected in the Peru Upwelling Region and around the world. Seawater dissolved Zn isotopes also reflect the chemical and biological cycling of Zn. The δ66Zn of deep seawater in the North Pacific and North Atlantic is about 0.5‰, and the dissolved δ66Zn gets lighter in the upper water column. This is unexpected based our observations of a biological preference for uptake of light Zn isotopes, and suggests that Zn transport to deep waters may occur by Zn adsorption to sinking particles rather than as primary biological Zn. The thesis, by presenting data on several important aspects of Zn isotope cycling in the oceans, lays the groundwork for further use of Zn isotopes as a marine biogeochemical tracer.
    Description: This research was funded by NSF Research Grants OCE-0002273 and OCE-0326689, the Martin Family Society Fellowship for Sustainability, the Woods Hole Ocean Ventures Fund, and Arunas and Pam Chesonis through an MIT Earth Systems Initiative Ignition Grant.
    Keywords: Zinc ; Isotopes ; Biogeochemical cycles ; Atlantis (Ship : 1996-) Cruise AT11-2
    Repository Name: Woods Hole Open Access Server
    Type: Thesis
    Format: application/pdf
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