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  • 2020-2024  (11)
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  • 1
    Publication Date: 2023-10-28
    Description: Diatom assemblage of sediment core M77/2_003-2
    Keywords: Actinocyclus curvatulus; Actinocyclus exiguus; Actinocyclus octonarius; Actinocyclus spp.; Actinoptychus senarius; Actinoptychus spp.; Actinoptychus vulgaris; Alveus marinus; Amphiascus minutus; Amphora spp.; Asteromphalus arachne; Azpeitia africana; Azpeitia nodulifera; Azpeitia tabularis; Biddulphia alternans; Biddulphia spp.; Cerataulina pelagica; Chaetoceros; Chaetoceros cinctus; Chaetoceros diadema; Chaetoceros didymus; Chaetoceros lorenzianus; Chaetoceros spp.; Climate - Biogeochemistry Interactions in the Tropical Ocean; Cocconeis californica; Cocconeis costata; Cocconeis dirupta; Cocconeis distans; Cocconeis placentula; Cocconeis scutellum; Cocconeis spp.; Coscinodiscus asteromphalus; Coscinodiscus centralis; Coscinodiscus concinnus; Coscinodiscus radiatus; Coscinodiscus spp.; Cyclotella spp.; Cyclotella striata; Cyclotella stylorum; Cymbella pusilla; Delphineis karstenii; DEPTH, sediment/rock; diatoms; Diatoms; Diploneis spp.; Discoaster spp.; Ditylum brightwellii; Eucampia spp.; Eunotia spp.; Eunotogramma debile; Fragilariopsis doliolus; Glyphodesmis distans; Grammatophora spp.; Hemiaulus spp.; Hemidiscus cuneiformis; M77/2; M77/2_003-2; M77/2_636-1; Meteor (1986); Minidiscus chilensis; Navicula spp.; Nitzschia bicapitata; Nitzschia gandersheimiensis; Nitzschia interruptestriata; Nitzschia ovalis; Nitzschia sicula; Odontella spp.; Paralia sulcata; PC; Peru; Phytoliths; Piston corer; Plagiogramma tessalatum; Plagiogrammopsis vanheurckii; Planktonellia sol; Pleurosigma spp.; Proboscia alata; Pseudogomphonema spp.; Pseudo-nitzschia pungens; Pseudosolenia calcar-avis; Radiolarians; Rhizosolenia acicularis; Rhizosolenia acuminata; Rhizosolenia bergonii; Rhizosolenia castracanei; Rhizosolenia clevei; Rhizosolenia decipiens; Rhizosolenia hyalina; Rhizosolenia imbricata; Rhizosolenia spp.; Roperia tessellata; SFB754; Silicoflagellates; Skeletonema costatum; Sponge spiculae; Stephanopyxis spp.; Thalassionema bacillaris; Thalassionema nitzschioides; Thalassionema nitzschioides var. capitulata; Thalassionema nitzschioides var. claviformis; Thalassionema nitzschioides var. inflata; Thalassionema nitzschioides var. lanceolata; Thalassionema nitzschioides var. nitzschioides; Thalassionema nitzschioides var. parva; Thalassiosira eccentrica; Thalassiosira leptopus; Thalassiosira oestrupii; Thalassiosira pacifica; Thalassiosira spp.; Thalassiothrix longissima; Trachyneis spp.
    Type: Dataset
    Format: text/tab-separated-values, 8295 data points
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  • 2
    Publication Date: 2023-10-28
    Description: The dataset comprises all d30Si signatures and biogenic opal content (%) of core M772_003-2 off Peru
    Keywords: AGE; biogenic opal; Climate - Biogeochemistry Interactions in the Tropical Ocean; DEPTH, sediment/rock; Diatoms, δ30Si; M77/2; M77/2_003-2; M77/2_636-1; Meteor (1986); Opal, biogenic silica; PC; Peru; Piston corer; Sample code/label; SFB754; Standard deviation; δ30Si, biogenic silica
    Type: Dataset
    Format: text/tab-separated-values, 486 data points
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  • 3
    Publication Date: 2023-11-24
    Description: In this study we present dissolved and particulate silicon isotope results in surface waters obtained as part of the GEOTRACES central Arctic Ocean section GN04 (2015) onboard POLARSTERN cruise PS94 (ARK-XXIX/3). The aim of the study was to investigate in more detail the influence of the Transpolar Drift on the Si cycle in the AO comparing areas with and without its influence.
    Keywords: Arctic Ocean; ARK-XXIX/3; Calculated, see Comment; Cast number; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Event label; GEOTRACES; Global marine biogeochemical cycles of trace elements and their isotopes; In situ pump; ISP; LATITUDE; LONGITUDE; Number of measurements; Polarstern; PS94; PS94/032-8; PS94/032-9; PS94/040-3; PS94/050-5; PS94/050-8; PS94/058-3; PS94/058-5; PS94/069-5; PS94/081-5; PS94/081-7; PS94/081-9; PS94/096-5; PS94/096-7; PS94/101-6; PS94/101-7; PS94/101-9; PS94/117-4; PS94/117-6; PS94/117-7; PS94/125-5; PS94/125-7; PS94/125-8; Quality flag; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); Silicon isotopes; Station label; δ29Si, biogenic silica; δ29Si, silicon dissolved; δ29Si, standard deviation; δ30Si, biogenic silica; δ30Si, silicon dissolved; δ30Si, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 414 data points
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  • 4
    Publication Date: 2023-11-24
    Description: In this study we present dissolved and particulate silicon isotope results from intermediate to deep waters obtained as part of the GEOTRACES central Arctic Ocean section GN04 (2015) onboard POLARSTERN cruise PS94 (ARK-XXIX/3). The aim of the study was to investigate the relative influence of water mass mixing and particle flux on the Si cycle in the Arctic Ocean.
    Keywords: Arctic Ocean; ARK-XXIX/3; Cast number; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Event label; GEOTRACES; Global marine biogeochemical cycles of trace elements and their isotopes; In situ pump; ISP; LATITUDE; LONGITUDE; Polarstern; PS94; PS94/032-7; PS94/032-8; PS94/032-9; PS94/040-1; PS94/040-3; PS94/050-1; PS94/050-4; PS94/050-5; PS94/050-8; PS94/058-1; PS94/058-3; PS94/068-1; PS94/069-4; PS94/070-1; PS94/081-2; PS94/081-5; PS94/081-9; PS94/096-2; PS94/096-5; PS94/096-7; PS94/101-2; PS94/101-5; PS94/101-6; PS94/101-7; PS94/117-2; PS94/117-4; PS94/117-7; PS94/125-2; PS94/125-5; PS94/125-8; Quality flag; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); Silicon isotopes; Station label; δ30Si, biogenic silica; δ30Si, silicon dissolved; δ30Si, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 505 data points
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  • 5
    Publication Date: 2024-04-18
    Description: The dataset comprises all d30Si signatures (bSiO2 and Coscinodiscus) of surface sediments off Peru
    Keywords: biogenic opal; Climate - Biogeochemistry Interactions in the Tropical Ocean; DEPTH, water; Event label; LATITUDE; LONGITUDE; M77/1; M77/1_420-1; M77/1_450-1; M77/1_462-1; M77/1_469-1; M77/1_471-1; M77/1_482-1; M77/1_543-1; M77/1_615-1; M77/1_620-1; M77/1_623-1; M77/2; M77/2_002-5; M77/2_005-5; M77/2_022-2; M77/2_028-2; M77/2_029-5; M77/2_045-3; M77/2_050-1; M77/2_052-3; M77/2_053-1; M77/2_060-1; M77/2_062-2; M77/2_067-2; M77/2_076-2; M77/2_635-6; M77/2_649-1; M77/2_669; M77/2_685; M77/2_692; M77/2_717; M77/2_727; M77/2_734; M77/2_736; M77/2_756; M77/2_762; M77/2_776; M77/2_800; Meteor (1986); MUC; MultiCorer; Multicorer with television; Peru; SFB754; Standard deviation; TVMUC; δ30Si; δ30Si, biogenic silica
    Type: Dataset
    Format: text/tab-separated-values, 67 data points
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  • 6
    Publication Date: 2023-02-08
    Description: Benthic fluxes of dissolved silica (Si) from sediments into the water column are driven by the dissolution of biogenic silica (bSiO2) and terrigenous Si minerals and modulated by the precipitation of authigenic Si phases. Each of these processes has a specific effect on the isotopic composition of silica dissolved in sediment pore waters such that the determination of pore water δ30Si values can help to decipher the complex Si cycle in surface sediments. In this study, the δ30Si signatures of pore fluids and bSiO2 in the Guaymas Basin (Gulf of California) were analyzed, which is characterized by high bSiO2 accumulation and hydrothermal activity. The δ30Si signatures were investigated in the deep basin, in the vicinity of a hydrothermal vent field, and at an anoxic site located within the pronounced oxygen minimum zone (OMZ). The pore fluid δ30Sipf signatures differ significantly depending on the ambient conditions. Within the basin, δ30Sipf is essentially uniform averaging +1.2 ± 0.1 ‰ (1SD). Pore fluid δ30Sipf values from within the OMZ are significantly lower (0.0 ± 0.5 ‰, 1SD), while pore fluids close to the hydrothermal vent field are higher (+2.0 ± 0.2 ‰, 1SD). Reactive transport modelling results show that the δ30Sipf is mainly controlled by silica dissolution (bSiO2 and terrigenous phases) and Si precipitation (authigenic aluminosilicates). Precipitation processes cause a shift to high pore fluid δ30Sipf signatures, most pronounced at the hydrothermal site. Within the OMZ however, additional dissolution of isotopically depleted Si minerals (e.g. clays) facilitated by high mass accumulation rates of terrigenous material (MARterr) is required to promote the low δ30Sipf signatures while precipitation of authigenic aluminosilicates seems to be hampered by high water / rock ratios. Guaymas OMZ δ30Sipf values are markedly different from those of the Peruvian OMZ, the only other marine setting where Si isotopes have been investigated to constrain early diagenetic processes. These differences highlight the fact that δ30Sipf signals in OMZs worldwide are not alike and each setting can result in a range of δ30Sipf values as a function of the environmental conditions. We conclude that the benthic silica cycle is more complex than previously thought and that additional Si isotope studies are needed to decipher the controls on Si turnover in marine sediment and the role of sediments in the marine silica cycle.
    Type: Article , PeerReviewed
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  • 7
    Publication Date: 2024-02-07
    Description: The development of stable barium (Ba) isotope measurements provides a novel tool to investigate the geochemical cycling of Ba in the ocean and its sediments. In sediment pore waters, gradients of dissolved Ba concentrations result from various diagenetic processes. The distribution and fractionation of Ba isotopes in the pore waters are expected to further improve our understanding of these early diagenetic control mechanisms. Here, we present pore water profiles of dissolved stable Ba isotopic signatures (δ138Bapw) from shallow water sediments covering the entire Pearl River Estuary (PRE) in Southern China. We find pronounced depth-dependent Ba isotope variations generally showing a shift from heavy to light δ138Bapw signatures from the sediment surface down to 15 cm depth. These gradients are well reproduced by a diffusion-reaction model, which generates an apparent fractionation factor (138ε) of −0.60 ± 0.10‰ pointing to preferential removal of low-mass Ba isotopes from the pore water during solution-solid phase interactions. Consequently, the combined diagenetic processes induce the highest δ138Bapw values of +0.5 to +0.7‰ in the pore waters of the topmost sediment layer. Although the detrital fraction dominates the Ba content in the PRE surface sediments, the determined gradients of pore water Ba isotopes, together with concentration variations of Ba and other redox-sensitive elements such as manganese (Mn), show that non-detrital excess Ba carriers including Mn oxides and authigenic barite clearly affect the post-depositional Ba dynamics. Stable Ba isotopes are thus a potentially powerful tracer of Ba geochemistry during early sediment diagenesis in estuarine depositional environments. Key Points We present a data set of dissolved stable Ba isotopic compositions in surface sediment pore waters of a large river estuary Pore water Ba isotope values generally decrease with increasing sediment depth, reflecting post-depositional Ba isotope fractionation A diffusion-reaction model predicts the distribution and fractionation of stable Ba isotopes in the sediment pore waters well
    Type: Article , PeerReviewed
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  • 8
    Publication Date: 2024-02-07
    Description: The global silicon (Si) cycle plays a critical role in regulating the biological pump and the carbon cycle in the oceans. A promising tool to reconstruct past dissolved silicic acid (DSi) concentrations is the silicon isotope signature of radiolaria (δ 30 Si rad ), siliceous zooplankton that dwells at subsurface and intermediate water depths. However, to date, only a few studies on sediment δ 30 Si rad records are available. To investigate its applicability as a paleo proxy, we compare the δ 30 Si rad of different radiolarian taxa and mixed radiolarian samples from surface sediments off Peru to the DSi distribution and its δ 30 Si signatures (δ 30 Si DSi ) along the coast between the equator and 15°S. Three different radiolarian taxa were selected according to their specific habitat depths of 0–50 m ( Acrosphaera murrayana ), 50–100 m ( Dictyocoryne profunda/truncatum ), and 200–400 m ( Stylochlamydium venustum ). Additionally, samples containing a mix of species from the bulk assemblage covering habitat depths of 0 to 400 m have been analyzed for comparison. We find distinct δ 30 Si rad mean values of +0.70 ± 0.17‰ ( Acro ; 2 SD), +1.61 ± 0.20 ‰ ( Dictyo ), +1.19 ± 0.31 ‰ ( Stylo ) and +1.04 ± 0.19 ‰ (mixed radiolaria). The δ 30 Si values of all individual taxa and the mixed radiolarian samples indicate a significant ( p 〈 0.05) inverse relationship with DSi concentrations of their corresponding habitat depths. However, only δ 30 Si of A. murrayana are correlated to DSi concentrations under normally prevailing upwelling conditions. The δ 30 Si of Dictyocoryne sp., Stylochlamydium sp., and mixed radiolaria are significantly correlated to the lower DSi concentrations either associated with nutrient depletion or shallower habitat depths. Furthermore, we calculated the apparent Si isotope fractionation between radiolaria and DSi (Δ 30 Si ∼ 30 ε = δ 30 Si rad − δ 30 Si DSi ) and obtained values of −1.18 ± 0.17 ‰ ( Acro ), −0.05 ± 0.25 ‰ ( Dictyo ), −0.34 ± 0.27 ‰ ( Stylo ), and −0.62 ± 0.26 ‰ (mixed radiolaria). The significant differences in Δ 30 Si between the order of Nassellaria ( A. murrayana ) and Spumellaria ( Dictyocoryne sp. and Stylochlamydium sp.) may be explained by order-specific Si isotope fractionation during DSi uptake, similar to species-specific fractionation observed for diatoms. Overall, our study provides information on the taxon-specific fractionation factor between radiolaria and seawater and highlights the importance of taxonomic identification and separation to interpret down-core records.
    Type: Article , PeerReviewed
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    Format: archive
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  • 9
    Publication Date: 2024-02-07
    Description: During most of the year, diatom production in the ice-covered Central Arctic Ocean (CAO) is limited by light availability and nutrient supply. Therefore, biological production is thought to be generally low, with higher biological production at the sea ice edge and over partially ice-free shelf areas. The major surface ocean current in the CAO is the Transpolar Drift (TPD), which transports sea ice and water from the rivers and shelves of the Laptev and the East Siberian Seas across the CAO toward the Fram Strait, carrying high amounts of terrestrial-derived material over long distances. We used Si isotopes (δ30Si) to better understand the difference between lower and higher biological production areas and how the TPD potentially affects the Si cycle in the CAO. Our data show low dissolved Si concentrations ([DSi]) paired with high values of δ30Si-DSi in all surface samples indicating fractionation by diatoms. Specifically, outside the TPD influence, all nutrients were depleted and supply was limited due to stratified conditions, thus preventing further phytoplankton growth in the area during the sampling time in late summer-early fall. In contrast, under the TPD influence, diatom primary production was limited by low nitrate and strongly limited by light due to the presence of sea ice, even though [DSi] values were much higher than outside the TPD. Based on δ30Si, we could identify low but measurable DSi utilization in the TPD, potentially highlighting the importance of sea ice-attached diatoms transported to the CAO via the TPD for the Si cycle in this region. Key Points - Primary production and silicon utilization outside the Transpolar Drift are higher than under its influence due to more light availability - Primary production and lateral water transport under the Transpolar Drift influence were identified from silicon isotope composition - The Transpolar Drift delivers high dissolved silicon to the surface Arctic Ocean, a unique feature not seen in any other open ocean
    Type: Article , PeerReviewed
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  • 10
    Publication Date: 2023-06-29
    Description: The use of the silicon isotope composition of dissolved silicon (δ30Si-DSi) to understand the marine silicon cycle has been increasing in recent years. Here we present δ30Si-DSi and δ30Si of biogenic silica (δ30Si-bSiO2) in the intermediate to deep waters of the Central Arctic Ocean (AO) aiming at investigating in more detail the relative influence of water mass mixing and particle flux on the Si cycle in the AO. Comparing the δ30Si-DSi with the water mass composition derived from Optimum Multiparameter (OMP) analysis, we were able to test the influence of the water masses in the δ30Si-DSi distribution. We were able to show the dominant Atlantic Water (AW) influence at the stations close to the Fram Strait (station 32 and 40, δ30Si-DSi = 1.51 ± 0.11‰, 2SEM, n = 3) and the only small δ30Si-DSi modification when compared to the endmember value from a previous study (δ30Si-DSi = 1.55‰). The Dense Arctic Atlantic Water, dominating from 200 to 500 m water depth (except for stations 32 and 40, where it was present only at 500 m), was marked by heavier δ30Si-DSi of 1.62 ± 0.06‰ (2SEM, n = 21). This is probably due to the influence of entraining equally dense water from the shelves. Due to productivity and Si utilization on the shelves, both water and bSiO2, that were transported laterally into the Central AO, were characterized by higher δ30Si, with δ30Si-bSiO2 of 1.64 ± 0.13‰ (2SEM, n = 7). Particle dissolution at greater depths did not play a major role in the δ30Si-DSi of deep waters due to the low bSiO2 concentrations at these greater depths. Outflowing water masses from the AO present different δ30Si-DSi, with lower values around 1.46‰ originating from the Central AO influencing predominantly DSOW and ISOW, and higher values around 2‰ originating from the Canadian AO influencing predominantly LSW. Those signatures correspond with the δ30Si-DSi found in the North Atlantic. Consequently, the AO potentially presents several isotopically different endmembers that contribute to the deep water formed in the North Atlantic.
    Type: Article , PeerReviewed
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