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  • 1
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    Unknown
    PANGAEA
    In:  Supplement to: Bi, Rong; Chen, Xi; Zhang, Jing; Ishizaka, Joji; Zhuang, Yanpei; Jin, Haiyan; Zhang, Hailong; Zhao, Meixun (2018): Water Mass Control on Phytoplankton Spatiotemporal Variations in the Northeastern East China Sea and the Western Tsushima Strait Revealed by Lipid Biomarkers. Journal of Geophysical Research: Biogeosciences, 123(4), 1318-1332, https://doi.org/10.1002/2017JG004340
    Publication Date: 2023-11-07
    Description: Continental margin ecosystems in the western North Pacific Ocean are subject to strong climate forcing and anthropogenic impacts. To evaluate mechanisms controlling phytoplankton biomass and community structure variations in marginal sea-open ocean boundary regions, brassicasterol, dinosterol and C37 alkenones were measured in suspended particles in summer and autumn from 2012 to 2013 in the northeastern East China Sea and the western Tsushima Strait (NEECS-WTS). In summer, the concentrations of brassicasterol (40 - 1535 ng L-1) and dinosterol (4.2 - 94 ng L-1) were higher in the southwest of Cheju Island, while C37 alkenones (0 - 30 ng L-1) were higher in the south of Cheju Island. In autumn, brassicasterol (12 - 106 ng L-1), dinosterol (2.4 - 21 ng L-1) and C37 alkenones (0.7 - 7.0 ng L-1) were higher in the southwest of Cheju Island and the WTS, and higher C37 alkenones also occurred in the Okinawa Trough. Correlation analysis of biomarkers and environmental conditions (temperature, salinity and inorganic nutrient concentrations) clearly demonstrated that phytoplankton biomass and community structure variations can be well elucidated by water masses as indexed by temperature and salinity. High nutrients from the Changjiang River were the main cause of high biomass in summer, while nutrients from subsurface water were likely the key factor regulating phytoplankton biomass in open ocean water stations in autumn. This study indicates that mechanisms controlling phytoplankton biomass in marginal sea-open ocean boundary regions should be classified by various water masses with different nutrient concentrations, instead of by geography.
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2023-11-07
    Keywords: Chlorophyll a; DEPTH, water; East China Sea; ECS_1; ECS_11; ECS_12; ECS_13; ECS_14; ECS_17; ECS_18; ECS_2; ECS_22; ECS_23; ECS_24; ECS_3; ECS_7; ECS_8; ECS_9; Event label; Japan Sea; Latitude of event; Longitude of event; MULT; Multiple investigations; Nitrogen, inorganic, dissolved; Phosphorus, inorganic, dissolved; Salinity; Silicon; Temperature, water; Yellow Sea
    Type: Dataset
    Format: text/tab-separated-values, 862 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2023-11-07
    Keywords: Density, sigma-theta (0); DEPTH, water; East China Sea; ECS_1; ECS_11; ECS_12; ECS_13; ECS_14; ECS_17; ECS_18; ECS_2; ECS_22; ECS_23; ECS_24; ECS_3; ECS_7; ECS_8; ECS_9; Event label; Japan Sea; Latitude of event; Longitude of event; MULT; Multiple investigations; Salinity; Temperature, water, potential; Yellow Sea
    Type: Dataset
    Format: text/tab-separated-values, 7950 data points
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2023-11-07
    Keywords: 24-Methylcholesta-5,22E-dien-3beta-ol of water; 4alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol of water; Alkenones/lipid biomarkers ratio; Alkenones of water; Brassicasterol/lipid biomarkers ratio; Chlorophyll a; Dinosterol/lipid biomarkers ratio; East China Sea; ECS_1; ECS_11; ECS_12; ECS_13; ECS_14; ECS_17; ECS_18; ECS_2; ECS_22; ECS_23; ECS_24; ECS_3; ECS_7; ECS_8; ECS_9; ECS_A07; ECS_B2; ECS_Buoy-1; ECS_Buoy-2; ECS_CK-10; ECS_CK-3; ECS_CK-6; ECS_F06; ECS_F07; ECS_F08; ECS_F09; ECS_F10; ECS_F11; ECS_F12; ECS_FP01; ECS_FP02; ECS_FP03; ECS_FP04; ECS_FP06; ECS_GN-1; ECS_GN-5; ECS_GS-2; ECS_GS-6; ECS_GW-2; ECS_GW-7; ECS_HR10; ECS_HR11; ECS_HR2; ECS_HR6; ECS_HR8; ECS_HR9; ECS_I-2; ECS_LS1; ECS_LS2; ECS_MC1; ECS_MC4; ECS_MT4; ECS_MT5; ECS_P07; ECS_P08; ECS_P09; ECS_P11; ECS_TE-2; ECS_TE-5; ECS_TE-8; ECS_TW-1; ECS_TW-3; ECS_TW-6; ECS_YS1; ECS_YS2; ECS_Z3; Event label; Japan Sea; Latitude of event; Longitude of event; MULT; Multiple investigations; Nitrogen, inorganic, dissolved; Phosphorus, inorganic, dissolved; Salinity; Season; Silicon; Sum lipid biomarkers of water; Temperature, water; Yellow Sea
    Type: Dataset
    Format: text/tab-separated-values, 867 data points
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2024-02-10
    Description: A dataset of 42 collected surface sediment samples from the East Siberian Sea by analysis of Arctic sea ice (IP25) and open water phytoplankton biomarkers (Brassicasterol, Dinosterol, HBI-III and HBI-IV). Terrigenous sterols (campesterol and β-sitosterol) data in this region are also included in the dataset. All biomarkers are based on TOC calculations.
    Keywords: 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane, per unit mass total organic carbon; 24-ethylcholest-5-en-3beta-ol, per unit mass total organic carbon; 24-Methylcholest-5-en-3beta-ol, per unit mass total organic carbon; 24-Methylcholesta-5,22E-dien-3beta-ol, per unit mass total organic carbon; 4alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol, per unit mass total organic carbon; Akademik M.A. Lavrentiev; Arctic Estuary; BC; Box corer; Carbon, organic, total; East Siberian Sea; Elevation of event; Event label; Highly branched isoprenoids, diunsatured, per unit mass total organic carbon; Highly branched isoprenoids (E), triunsatured, per unit mass total organic carbon; Highly branched isoprenoids (Z), triunsatured, per unit mass total organic carbon; IP25; Latitude of event; Longitude of event; LV77; LV77-10; LV77-11; LV77-12; LV77-14; LV77-15; LV77-16; LV77-17; LV77-18; LV77-19; LV77-2; LV77-20; LV77-21; LV77-22; LV77-23; LV77-24; LV77-25; LV77-26; LV77-27; LV77-28; LV77-29; LV77-3; LV77-30; LV77-31; LV77-32; LV77-33; LV77-34; LV77-35; LV77-36; LV77-38; LV77-39; LV77-4; LV77-40; LV77-41; LV77-42; LV77-43; LV77-44; LV77-45; LV77-5; LV77-6; LV77-7; LV77-8; LV77-9; Nitrogen, total; PIP25 index; sea ice proxy
    Type: Dataset
    Format: text/tab-separated-values, 420 data points
    Location Call Number Limitation Availability
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  • 6
    Publication Date: 2024-02-10
    Description: The PIP25 indexes calculated by IP25 and phytoplankton biomarkers (Brassicasterol, Dinosterol, HBI-III) in the East Siberian Sea. The calculation methods based on Mueller et al., 2015.
    Keywords: Akademik M.A. Lavrentiev; Arctic Estuary; BC; Box corer; East Siberian Sea; Elevation of event; Event label; IP25; Latitude of event; Longitude of event; LV77; LV77-10; LV77-11; LV77-12; LV77-14; LV77-15; LV77-16; LV77-17; LV77-18; LV77-19; LV77-2; LV77-20; LV77-21; LV77-22; LV77-23; LV77-24; LV77-25; LV77-26; LV77-27; LV77-28; LV77-29; LV77-3; LV77-30; LV77-31; LV77-32; LV77-33; LV77-34; LV77-35; LV77-36; LV77-38; LV77-39; LV77-4; LV77-40; LV77-41; LV77-42; LV77-43; LV77-44; LV77-45; LV77-5; LV77-6; LV77-7; LV77-8; LV77-9; Phytoplankton biomarker Brassicasterol IP25 index; Phytoplankton biomarker C25 HBI (Z) triene IP25 index; Phytoplankton biomarker Dinosterol IP25 index; PIP25 index; Sea ice concentration, spring; Sea ice concentration, summer; sea ice proxy
    Type: Dataset
    Format: text/tab-separated-values, 252 data points
    Location Call Number Limitation Availability
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  • 7
    Publication Date: 2024-02-10
    Description: We provide a dataset of 42 newly collected surface sediment samples from the East Siberian Sea by analysis of Arctic sea ice (IP25) and open water phytoplankton biomarkers (Brassicasterol, Dinosterol, HBI-III and HBI-IV). Terrigenous sterols (campesterol and β-sitosterol) data in this region are also included in the dataset. All biomarkers are based on TOC calculations.
    Keywords: Arctic Estuary; East Siberian Sea; IP25; PIP25 index; sea ice proxy
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Limitation Availability
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  • 8
    Publication Date: 2024-02-10
    Description: The PIP25 indexes calculated by IP25 and phytoplankton biomarkers (Brassicasterol, Dinosterol, HBI-III) in the East Siberian Sea. To better understand the riverine influence, we compared the data set with and without samples that influenced by riverine input. In this dataset, the estuarine samples (surface salinity 〈 25) are removed. The calculation methods based on Mueller et al., 2015.
    Keywords: Akademik M.A. Lavrentiev; Arctic Estuary; BC; Box corer; East Siberian Sea; Elevation of event; Event label; IP25; Latitude of event; Longitude of event; LV77; LV77-10; LV77-11; LV77-12; LV77-14; LV77-15; LV77-2; LV77-21; LV77-22; LV77-23; LV77-24; LV77-25; LV77-26; LV77-27; LV77-28; LV77-29; LV77-3; LV77-30; LV77-31; LV77-4; LV77-5; LV77-6; LV77-7; LV77-8; LV77-9; Phytoplankton biomarker Brassicasterol IP25 index; Phytoplankton biomarker C25 HBI (Z) triene IP25 index; Phytoplankton biomarker Dinosterol IP25 index; PIP25 index; Sea ice concentration, spring; Sea ice concentration, summer; sea ice proxy
    Type: Dataset
    Format: text/tab-separated-values, 144 data points
    Location Call Number Limitation Availability
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  • 9
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    Unknown
    PANGAEA
    In:  Supplement to: Zhang, Jiangyong; Wang, Pinxian; Li, Qianyu; Cheng, Xinrong; Jin, Haiyan; Zhang, Shiying (2007): Western equatorial Pacific productivity and carbonate dissolution over the last 550 kyr: Foraminiferal and nannofossil evidence from ODP Hole 807A. Marine Micropaleontology, 64(3-4), 121-140, https://doi.org/10.1016/j.marmicro.2007.03.003
    Publication Date: 2024-04-11
    Description: We analyzed foraminiferal and nannofossil assemblages and stable isotopes in samples from ODP Hole 807A on the Ontong Java Plateau in order to evaluate productivity and carbonate dissolution cycles over the last 550 kyr (kilo year) in the western equatorial Pacific. Our results indicate that productivity was generally higher in glacials than during interglacials, and gradually increased since MIS 13. Carbonate dissolution was weak in deglacial intervals, but often reached a maximum during interglacial to glacial transitions. Carbonate cycles in the western equatorial Pacific were mainly influenced by changes of deep-water properties rather than by local primary productivity. Fluctuations of the estimated thermocline depth were not related to glacial to interglacial alternations, but changed distinctly at ~280 kyr. Before that time the thermocline was relatively shallow and its depth fluctuated at a comparatively high amplitude and low frequency. After 280 kyr, the thermocline was deeper, and its fluctuations were at lower amplitude and higher frequency. These different patterns in productivity and thermocline variability suggest that thermocline dynamics probably were not a controlling factor of biological productivity in the western equatorial Pacific Ocean. In this region, upwelling, the influx of cool, nutrient-rich waters from the eastern equatorial Pacific or of fresh waters from rivers have probably never been important, and their influence on productivity has been negligible over the studied period. Variations in the inferred productivity in general are well correlated with fluctuations in the eolian flux as recorded in the northwestern Pacific, a proxy for the late Quaternary history of the central East Asian dust flux into the Pacific. Therefore, we suggest that the dust flux from the central East Asian continent may have been an important driver of productivity in the western Pacific.
    Keywords: 130-807A; DRILL; Drilling/drill rig; Joides Resolution; Leg130; Ocean Drilling Program; ODP; West equatorial Pacific Ocean
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Limitation Availability
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  • 10
    Publication Date: 2024-04-11
    Keywords: 130-807A; Anomalinoides globulosus; Astaculus spp.; Astrononion novozealandicum; Bolivina sp.; Bulimina aculeata; Bulimina alazanensis; Cassidulina laevigata; Cassidulina sp.; Chilostomella oolina; Cibicides mediocris; Cibicides voltziana; Cibicidoides bradyi; Cibicidoides kullenbergi; Cibicidoides pseudoungerianus; Cibicidoides sp.; Cibicidoides wuellerstorfi; Counting 〉154 µm fraction; Cribrostomoides sp.; Dentalina spp.; DEPTH, sediment/rock; DRILL; Drilling/drill rig; Eggerella bradyi; Ehrenbergina trigona; Epistominella exigua; Epistominella rugosa; Favocassidulina favus; Fissurina spp.; Foraminifera, benthic; Foraminifera, benthic indeterminata; Fursenkoina bradyi; Fursenkoina bramletti; Fursenkoina sp.; Gavelinopsis lobatulus; Globocassidulina subglobosa; Gyroidina orbicularis; Gyroidinoides lamarckiana; Gyroidinoides neosoldanii; Gyroidinoides nodus; Gyroidinoides soldanii; Gyroidinoides sp.; Hoeglundina elegans; Hormosina spp.; Joides Resolution; Karreriella bradyi; Karreriella spp.; Lagena spp.; Laticarinina pauperata; Leg130; Lenticulina submamilligera; Martinottiella communis; Melonis barleeanus; Melonis pompilioides; Nodosaria inflexa; Nonionella sp.; Nonionellina sp.; Ocean Drilling Program; ODP; Oolina spp.; Ophthalmidium pusillum; Oridorsalis sp.; Oridorsalis umbonatus; Osangularia culter; Pleurostomella sp.; Pullenia bulloides; Pullenia quinqueloba; Pyrgo comata; Pyrgo depressa; Pyrgo lucernula; Pyrgo murrhina; Pyrgo serrata; Pyrgo sp.; Pyrgo williamsoni; Pyrulina spp.; Quadrimorphina trigona; Quinqueloculina seminulum; Quinqueloculina venusta; Rosalina columbiensis; Sigmoilina schlumbergeri; Siphotextularia spp.; Sphaeroidina bulloides; Split; Stainforthia complanata; Textularia sp.; Triloculina frigida; Uvigerina hispida; Uvigerina hispidocostata; Uvigerina peregrina; Uvigerina proboscidea; Uvigerina sp.; West equatorial Pacific Ocean
    Type: Dataset
    Format: text/tab-separated-values, 14685 data points
    Location Call Number Limitation Availability
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