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  • 1
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    PANGAEA
    In:  Supplement to: Nishioka, Jun; Takeda, Shigenobu; de Baar, Hein J W; Croot, Peter L; Boyé, Marie; Laan, Patrick; Timmermans, Klaas R (2005): Changes in the concentration of iron in different size fractions during an iron enrichment experiment in the open Southern Ocean. Marine Chemistry, 95(1-2), 51-63, https://doi.org/10.1016/j.marchem.2004.06.040
    Publication Date: 2023-05-12
    Description: An in situ iron enrichment experiment was carried out in the Southern Ocean Polar Frontal Zone and fertilized a patch of water within an eddy of the Antarctic Circumpolar Current (EisenEx, Nov. 2000). During the experiment, a physical speciation technique was used for iron analysis in order to understand the changes in iron distribution and size-fractionations, including soluble Fe (〈200 kDa), colloidal Fe (200 kDa-0.2 µm) and labile particle Fe (〉0.2 µm), throughout the development of the phytoplankton bloom. Prior to the first infusion of iron, dissolved (〈0.2 µm) iron concentrations in the ambient surface seawater were extremely low (0.06±0.015 nM) with colloidal iron being a minor fraction. For the iron addition, an acidified FeSO4 solution was released three times over a 23-day period to the eddy. High levels of dissolved iron concentrations (2.0±1.1 nM) were measured in the surface water until 4 days after the first iron infusion. After every iron infusion, when high iron concentrations were observed before storm events, there was a significant correlation between colloidal and dissolved iron concentrations ([Colloidal Fe]=0.7627[Dissolved Fe]+0.0519, R2=0.9346). These results indicate that a roughly constant proportion of colloidal vs. dissolved iron was observed after iron infusion (~76%). Storm events caused a significant decrease in iron concentrations (〈0.61 nM in dissolved iron) and changed the proportions of the three iron size-fractions (soluble, colloidal and labile particle). The changes in each iron size-fraction indicate that colloidal iron was eliminated from surface mixed layer more easily than particulate and soluble fractions. Therefore, particle and soluble iron efficiently remain in the mixed layer, probably due to the presence of suspended particles and naturally dissolved organic ligands. Our data suggest that iron removal through colloidal aggregation during phytoplankton bloom should be considered in the oceanic iron cycle.
    Keywords: A5; Ammonium; ANT-XVIII/2; B3; B4; Bottle number; C3; Colorometric autoanalysis; D3; Date/Time of event; DEPTH, water; E3; EisenEx; Elevation of event; European Iron Enrichment Experiment in the Southern Ocean; Event label; F3; GOFLO; Go-Flo bottles; Iron; Iron, colloidal; Iron, dissolved; Iron, particulate; Iron, soluble; Latitude of event; Longitude of event; Nitrate; Nitrate and Nitrite; Nitrite; Phosphate; Polarstern; PS58/006-4; PS58/007-6; PS58/009-7; PS58/011-7; PS58/012-2; PS58/014-7; PS58/016-2; PS58/020-2; PS58/023-2; PS58/028-2; PS58/031-2; PS58/038-6; PS58/041-3; PS58/045-3; PS58/046-2; PS58/048-2; PS58/049-4; PS58/054-2; PS58/055-2; PS58/061-2; PS58/079-1; PS58/081-2; PS58/083-2; PS58/085-2; PS58/086-2; PS58/088-8; PS58/091-2; PS58/092-2; PS58/100-2; PS58/103-2; PS58/106-4; PS58/107-8; PS58/108-2; PS58 EISENEX; see further details; Silicate; South Atlantic; Spectrophotometry
    Type: Dataset
    Format: text/tab-separated-values, 1891 data points
    Location Call Number Limitation Availability
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  • 2
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    PANGAEA
    In:  Supplement to: Boyé, Marie; Nishioka, Jun; Croot, Peter L; Laan, Patrick; Timmermans, Klaas R; de Baar, Hein J W (2005): Major deviations of iron complexation during 22 days of a mesoscale iron enrichment in the open Southern Ocean. Marine Chemistry, 96(3-4), 257-271, https://doi.org/10.1016/j.marchem.2005.02.002
    Publication Date: 2023-05-12
    Description: The speciation of strongly chelated iron during the 22-day course of an iron enrichment experiment in the Atlantic sector of the Southern Ocean deviates strongly from ambient natural waters. Three iron additions (ferrous sulfate solution) were conducted, resulting in elevated dissolved iron concentrations (Nishioka, J., Takeda, S., de Baar, H.J.W., Croot, P.L., Boye, M., Laan, P., Timmermans, K.R., 2005, Changes in the concentration of iron in different size fractions during an iron enrichment experiment in the open Southern Ocean. Marine Chemistry, doi:10.1016/j.marchem.2004.06.040) and significant Fe(II) levels (Croot, P.L., Laan, P., Nishioka, J., Strass, V., Cisewski, B., Boye, M., Timmermans, K.R., Bellerby, R.G., Goldson, L., Nightingale, P., de Baar, H.J.W., 2005, Spatial and Temporal distribution of Fe(II) and H2O2 during EisenEx, an open ocean mescoscale iron enrichment. Marine Chemistry, doi:10.1016/j.marchem.2004.06.041). Repeated vertical profiles for dissolved (filtrate 〈 0.2 µm) Fe(III)-binding ligands indicated a production of chelators in the upper water column induced by iron fertilizations. Abiotic processes (chemical reactions) and an inductive biologically mediated mechanism were the likely sources of the dissolved ligands which existed either as inorganic amorphous phases and/or as strong organic chelators. Discrete analysis on ultra-filtered samples (〈 200 kDa) suggested that the produced ligands would be principally colloidal in size (〉 200 kDa-〈 0.2 µm), as opposed to the soluble fraction (〈 200 kDa) which dominated prior to the iron infusions. Yet these colloidal ligands would exist in a more transient nature than soluble ligands which may have a longer residence time. The production of dissolved Fe-chelators was generally smaller than the overall increase in dissolved iron in the surface infused mixed layer, leaving a fraction (about 13-40%) of dissolved Fe not bound by these dissolved Fe-chelators. It is suggested that this fraction would be inorganic colloids. The unexpected persistence of such high inorganic colloids concentrations above inorganic Fe-solubility limits illustrates the peculiar features of the chemical iron cycling in these waters. Obviously, the artificial about hundred-fold increase of overall Fe levels by addition of dissolved inorganic Fe(II) ions yields a major disruption of the natural physical-chemical abundances and reactivity of Fe in seawater. Hence the ensuing responses of the plankton ecosystem, while in itself significant, are not necessarily representative for a natural enrichment, for example by dry or wet deposition of aeolian dust. Ultimately, the temporal changes of the Fe(III)-binding ligand and iron concentrations were dominated by the mixing events that occurred during EISENEX, with storms leading to more than an order of magnitude dilution of the dissolved ligands and iron concentrations. This had strongest impact on the colloidal size class (〉 200 kDa-〈 0.2 µm) where a dramatic decrease of both the colloidal ligand and the colloidal iron levels (Nishioka, J., Takeda, S., de Baar, H.J.W., Croot, P.L., Boye, M., Laan, P., Timmermans, K.R., 2005, Changes in the concentration of iron in different size fractions during an iron enrichment experiment in the open Southern Ocean. Marine Chemistry, doi:10.1016/j.marchem.2004.06.040) was observed.
    Keywords: ANT-XVIII/2; Date/Time of event; DEPTH, water; EisenEx; Elevation of event; European Iron Enrichment Experiment in the Southern Ocean; Event label; GOFLO; Go-Flo bottles; Iron, colloidal; Iron, dissolved; Iron, dissolved, conditional complex stability; Iron, dissolved, inorganic; Iron, dissolved organic/dissolved inorganic ratio; Iron, soluble; Iron, soluble, conditional complex stability; Iron-binding ligand, dissolved; Latitude of event; Longitude of event; Polarstern; PS58/007-6; PS58/009-7; PS58/011-7; PS58/014-7; PS58/038-6; PS58/041-3; PS58/045-3; PS58/046-2; PS58/048-2; PS58/049-4; PS58/061-2; PS58/088-8; PS58/091-2; PS58/092-2; PS58/107-8; PS58 EISENEX; South Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 477 data points
    Location Call Number Limitation Availability
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  • 3
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    PANGAEA
    In:  Supplement to: Croot, Peter L; Laan, Patrick; Nishioka, Jun; Strass, Volker H; Cisewski, Boris; Boyé, Marie; Timmermans, Klaas R; Bellerby, Richard G J; Goldson, Laura; Nightingale, Philip D; de Baar, Hein J W (2005): Spatial and temporal distribution of Fe(II) and H2O2 during EisenEx, an open ocean mescoscale iron enrichment. Marine Chemistry, 95(1-2), 65-88, https://doi.org/10.1016/j.marchem.2004.06.041
    Publication Date: 2024-01-19
    Description: Measurements of Fe(II) and H2O2 were carried out in the Atlantic sector of the Southern Ocean during EisenEx, an iron enrichment experiment. Iron was added on three separate occasions, approximately every 8 days, as a ferrous sulfate (FeSO4) solution. Vertical profiles of Fe(II) showed maxima consistent with the plume of the iron infusion. While H2O2 profiles revealed a corresponding minima showing the effect of oxidation of Fe(II) by H2O2, observations showed detectable Fe(II) concentrations existed for up to 8 days after an iron infusion. H2O2 concentrations increased at the depth of the chlorophyll maximum when iron concentrations returned to pre-infusion concentrations (〈80 pM) possibly due to biological production related to iron reductase activity. In this work, Fe(II) and dissolved iron were used as tracers themselves for subsequent iron infusions when no further SF6 was added. EisenEx was subject to periods of weak and strong mixing. Slow mixing after the second infusion allowed significant concentrations of Fe(II) and Fe to exist for several days. During this time, dissolved and total iron in the infusion plume behaved almost conservatively as it was trapped between a relict mixed layer and a new rain-induced mixed layer. Using dissolved iron, a value for the vertical diffusion coefficient Kz=6.7±0.7 cm**2/s was obtained for this 2-day period. During a subsequent surface survey of the iron-enriched patch, elevated levels of Fe(II) were found in surface waters presumably from Fe(II) dissolved in the rainwater that was falling at this time. Model results suggest that the reaction between uncomplexed Fe(III) and O2? was a significant source of Fe(II) during EisenEx and helped to maintain high levels of Fe(II) in the water column. This phenomenon may occur in iron enrichment experiments when two conditions are met: (i) When Fe is added to a system already saturated with regard to organic complexation and (ii) when mixing processes are slow, thereby reducing the dispersion of iron into under-saturated waters.
    Keywords: ANT-XVIII/2; CT; EisenEx; European Iron Enrichment Experiment in the Southern Ocean; Polarstern; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; PS58_transect01; PS58_transect02; PS58_transect03; PS58_transect04; PS58_transect05; PS58_transect06; PS58_transect07; PS58_transect08; PS58_transect09; PS58_transect10; PS58_transect11; PS58 EISENEX; SPP1158; Underway cruise track measurements
    Type: Dataset
    Format: application/zip, 11 datasets
    Location Call Number Limitation Availability
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  • 4
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    PANGAEA
    In:  Supplement to: Sugie, Koji; Endo, H; Suzuki, Koji; Nishioka, Jun; Kiyosawa, H; Yoshimura, T (2013): Synergistic effects of pCO2 and iron availability on nutrient consumption ratio of the Bering Sea phytoplankton community. Biogeosciences, 10(10), 6309-6321, https://doi.org/10.5194/bg-10-6309-2013
    Publication Date: 2024-03-15
    Description: Little is known concerning the effect of CO2 on phytoplankton ecophysiological processes under nutrient and trace element-limited conditions, because most CO2 manipulation experiments have been conducted under elements-replete conditions. To investigate the effects of CO2 and iron availability on phytoplankton ecophysiology, we conducted an experiment in September 2009 using a phytoplankton community in the iron limited, high-nutrient, low-chlorophyll (HNLC) region of the Bering Sea basin . Carbonate chemistry was controlled by the bubbling of the several levels of CO2 concentration (180, 380, 600, and 1000 ppm) controlled air, and two iron conditions were established, one with and one without the addition of inorganic iron. We demonstrated that in the iron-limited control conditions, the specific growth rate and the maximum photochemical quantum efficiency (Fv/Fm) of photosystem (PS) II decreased with increasing CO2 levels, suggesting a further decrease in iron bioavailability under the high-CO2 conditions. In addition, biogenic silica to particulate nitrogen and biogenic silica to particulate organic carbon ratios increased from 2.65 to 3.75 and 0.39 to 0.50, respectively, with an increase in the CO2 level in the iron-limited controls. By contrast, the specific growth rate, Fv/Fm values and elemental compositions in the iron-added treatments did not change in response to the CO2 variations, indicating that the addition of iron canceled out the effect of the modulation of iron bioavailability due to the change in carbonate chemistry. Our results suggest that high-CO2 conditions can alter the biogeochemical cycling of nutrients through decreasing iron bioavailability in the iron-limited HNLC regions in the future.
    Keywords: Alkalinity, total; Ammonium; Aragonite saturation state; Bering_Sea_OA; Bicarbonate ion; Biogenic silica; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, organic, particulate; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chlorophyll a; Community composition and diversity; Coulometric titration; Day of experiment; Entire community; EXP; Experiment; Fluorescence intensity; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Iron, dissolved; Laboratory experiment; Maximum photochemical quantum yield of photosystem II; Maximum photochemical quantum yield of photosystem II, standard deviation; Micro-nutrients; Nitrate and Nitrite; Nitrogen, total, particulate; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Open ocean; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; Percentage; pH; Phosphate; Potentiometric titration; Primary production/Photosynthesis; Salinity; Silicate; Species; Temperate; Temperature, water; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 7241 data points
    Location Call Number Limitation Availability
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  • 5
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    PANGAEA
    In:  Supplement to: Yoshimura, T; Suzuki, Koji; Kiyosawa, H; Ono, Tsuneo; Hattori, Hiroshi; Kuma, Kenshi; Nishioka, Jun (2013): Impacts of elevated CO2 on particulate and dissolved organic matter production: microcosm experiments using iron-deficient plankton communities in open subarctic waters. Journal of Oceanography, 69(5), 601-618, https://doi.org/10.1007/s10872-013-0196-2
    Publication Date: 2024-03-15
    Description: Response of phytoplankton to increasing CO2 in seawater in terms of physiology and ecology is key to predicting changes in marine ecosystems. However, responses of natural plankton communities especially in the open ocean to higher CO2 levels have not been fully examined. We conducted CO2 manipulation experiments in the Bering Sea and the central subarctic Pacific, known as high nutrient and low chlorophyll regions, in summer 2007 to investigate the response of organic matter production in iron-deficient plankton communities to CO2 increases. During the 14-day incubations of surface waters with natural plankton assemblages in microcosms under multiple pCO2 levels, the dynamics of particulate organic carbon (POC) and nitrogen (PN), and dissolved organic carbon (DOC) and phosphorus (DOP) were examined with the plankton community compositions. In the Bering site, net production of POC, PN, and DOP relative to net chlorophyll-a production decreased with increasing pCO2. While net produced POC:PN did not show any CO2-related variations, net produced DOC:DOP increased with increasing pCO2. On the other hand, no apparent trends for these parameters were observed in the Pacific site. The contrasting results observed were probably due to the different plankton community compositions between the two sites, with plankton biomass dominated by large-sized diatoms in the Bering Sea versus ultra-eukaryotes in the Pacific Ocean. We conclude that the quantity and quality of the production of particulate and dissolved organic matter may be altered under future elevated CO2 environments in some iron-deficient ecosystems, while the impacts may be negligible in some systems.
    Keywords: 19-Hexanoyloxyfucoxanthin; Alkalinity, total; Ammonium; Aragonite saturation state; Bacteria; Bering_Sea; Bicarbonate ion; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, organic, dissolved; Carbon, organic, particulate; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Cell density; Ceratium sp.; Chaetoceros sp.; Chlorophyll a; Community composition and diversity; Coscinodiscus sp.; Coulometric titration; Diatoms; Dinobryon balticum; Entire community; Eukaryotes; Event label; EXP; Experiment; Flow cytometry; Fluorescence determination; Fucoxanthin; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gymnodinium sp.; Haptophytes; High Performance Liquid Chromatography (HPLC); Laboratory experiment; Mesodinium rubrum; Micro-nutrients; Neodenticula seminae; Nitrate and Nitrite; Nitrite; Nitrogen, total, particulate; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Open ocean; Parafavella sp.; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; Peridinin; pH; Phosphate; Phosphorus, organic, dissolved; Potentiometric titration; Prorocentrum sp.; Pseudo-nitzschia sp.; Replicate; Rhizosolenia sp.; Salinity; Silicate; Site; Species; Spectrophotometric; subarctic_Pacific; Synechococcus; Temperate; Temperature, water; Thalassiothrix sp.; Time in days; Tropidoneis sp.
    Type: Dataset
    Format: text/tab-separated-values, 6772 data points
    Location Call Number Limitation Availability
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  • 6
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    PANGAEA
    In:  Supplement to: Endo, H; Hattori, Hiroshi; Mishima, Tsubasa; Hashida, Gen; Sasaki, H; Nishioka, Jun; Suzuki, Koji (2017): Phytoplankton community responses to iron and CO2 enrichment in different biogeochemical regions of the Southern Ocean. Polar Biology, 40(11), 2143-2159, https://doi.org/10.1007/s00300-017-2130-3
    Publication Date: 2024-03-15
    Description: The ongoing rise in atmospheric CO2 concentration is causing rapid increases in seawater pCO2levels. However, little is known about the potential impacts of elevated CO2 availability on the phytoplankton assemblages in the Southern Ocean's oceanic regions. Therefore, we conducted four incubation experiments using surface seawater collected from the subantarctic zone (SAZ) and the subpolar zone (SPZ) in the Australian sector of the Southern Ocean during the austral summer of 2011-2012. For incubations, FeCl3 solutions were added to reduce iron (Fe) limitation for phytoplankton growth. Ambient and high (~750 µatm) CO2 treatments were then prepared with and without addition of CO2-saturated seawater, respectively. Non-Fe-added (control) treatments were also prepared to assess the effects of Fe enrichment (overall, control, Fe-added, and Fe-and-CO2-added treatments). In the initial samples, the dominant phytoplankton taxa shifted with latitude from haptophytes to diatoms, likely reflecting silicate availability in the water. Under Fe-enriched conditions, increased CO2 level significantly reduced the accumulation of biomarker pigments in haptophytes in the SAZ and AZ, whereas a significant decrease in diatom markers was only detected in the SAZ. The CO2-related changes in phytoplankton community composition were greater in the SAZ, most likely due to the decrease in coccolithophore biomass. Our results suggest that an increase in CO2, if it coincides with Fe enrichment, could differentially affect the phytoplankton community composition in different geographical regions of the Southern Ocean, depending on the locally dominant taxa and environmental conditions.
    Keywords: 19-Hexanoyloxyfucoxanthin; Alkalinity, total; Alkalinity, total, standard deviation; Antarctic; Aragonite saturation state; Bicarbonate ion; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Cell density; Chlorophyll a; Community composition and diversity; Entire community; Event label; EXP; Experiment; Fucoxanthin; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Initial slope of the photosynthesis-irradiance curve; Inorganic toxins; Laboratory experiment; Light saturated maximum photosynthetic rate; Light saturated maximum photosynthetic rate per Chlorophyll a; Light saturation; Maximum photochemical quantum yield of photosystem II; OA-ICC; Ocean Acidification International Coordination Centre; Open ocean; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; Percentage; pH; pH, standard deviation; Polar; Primary production/Photosynthesis; rbcL gene, copy number, normalized; Replicate; Salinity; Temperate; Temperature, water; Treatment; Type; UM_11_7_cruise_C02; UM_11_7_cruise_C07; UM_11_7_cruise_D07; UM_11_7_cruise_D13
    Type: Dataset
    Format: text/tab-separated-values, 1456 data points
    Location Call Number Limitation Availability
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  • 7
    Publication Date: 2024-04-20
    Description: Data archived here are the external iron input data and model output data discussed in a paper entitled "Slowly sinking particles underlie dissolved iron transport across the Pacific Ocean" submitted to Global Biogeochemical Cycles. The model used in this study was developed by coupling Regional Ocean Modeling System (Shchepetkin and McWilliams, 2005) and Biogeochemical Elemental Cycling model (Moore et al., 2013). The model covers the whole North Pacific Ocean. The model horizontal resolution was set to 1/4° mesh. The external iron input data are iron fluxes due to atmospheric deposition and dissolution from seabed sediments. The model output data are dissolved iron concentrations simulated by the model and were only presented for the data in the intermediate layer (26.6-27.4 sigma-theta divided by 0.02 sigma-theta). The simulated data were regridded 1° mesh to reduce the size of the data. The model was calculated for 100 years and the simulated dissolved iron concentration are in quasi-steady state. For more details about the individual archived data, please refer to README.pdf included in the data. Reference Shchepetkin, A. F., & McWilliams, J. C. (2005). The regional oceanic modeling system (ROMS): A split-explicit, free-surface, topography-following-coordinate oceanic model. Ocean Modelling, 9(4), 347-404. Moore, J. K., Lindsay, K., Doney, S. C., Long, M. C., & Misumi, K. (2013). Marine ecosystem dynamics and biogeochemical cycling in the Community Earth System Model (CESM1-BGC). Journal of Climate, 26, 9291-9312.
    Keywords: Binary Object; Binary Object (File Size); Binary Object (Media Type); File content; iron; nutrients; Ocean Model
    Type: Dataset
    Format: text/tab-separated-values, 24 data points
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  • 8
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
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  • 9
    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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  • 10
    Publication Date: 2018-03-26
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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