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  • 2020-2024  (3)
  • 2000-2004
  • 2021  (3)
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  • 1
    Publication Date: 2024-02-16
    Description: The project AWI-funded AMUST project aims at understanding at current and future controls of Arctic spring blooms and concurrrent effetcs on biogeochemistry,by combining experimental work with long-term monitoring in April and May each year to study the Kongsfjorden spring bloom. This dataset was also used in the FAABulous project to compare spring bloom phenology in open-water and ice-covered fjords. Environmental as well as biological (stoichiometry and photosynthesis) data from the years 2014, and 2016-2018 for the mid-fjord station KB3 were samples. Furthermore, daily average temperature and salinity from a nearby mooring (see Hop et al. 2019 for details) are provided for the study period.
    Keywords: AMUST; Arctic; Arctic phytoplankton under MUltiple STressors; AWIPEV; AWIPEV_2016-AMUST; AWIPEV_2016-AMUST_KB3; AWIPEV_2017-AMUST; AWIPEV_2017-AMUST_KB3; AWIPEV_2018-AMUST; AWIPEV_2018-AMUST_KB3; Calculated from discrete Chl-specific light limited slopes of PI curves; Calculated from discrete spherical 4pi sensor profiles; Campaign; Chlorophyll a; Chlorophyll a, integrated; DATE/TIME; Depth with 1% of photosynthetic active radiation; Dimethylsulfoniopropionate, integrated; FAABulous; FAABulous: Future Arctic Algae Blooms and their role in the context of climate change; inorganic nutrients; Kongsfjorden; KOP151; Light attenuation, vertical; Light-depended increase in 14C uptake; Mixed layer depth; MON; Monitoring; Net primary production of carbon, integrated; Nitrate, integrated; Phytoplankton; primary production; Station label; Water samples
    Type: Dataset
    Format: text/tab-separated-values, 339 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2024-03-18
    Description: The project AWI-funded AMUST project aims at understanding at current and future controls of Arctic spring blooms and concurrrent effetcs on biogeochemistry,by combining experimental work with long-term monitoring in April and May each year to study the Kongsfjorden spring bloom. This dataset was also used in the FAABulous project to compare spring bloom phenology in open-water and ice-covered fjords. Environmental as well as biological (stoichiometry and photosynthesis) data from the years 2014, and 2016-2018 for the mid-fjord station KB3 were samples. Furthermore, daily average temperature and salinity from a nearby mooring (see Hop et al. 2019 for details) are provided for the study period.
    Keywords: Alkalinity, total; AMUST; Arctic; Arctic phytoplankton under MUltiple STressors; AWIPEV; AWIPEV_2014-AMUST; AWIPEV_2014-AMUST_KB3; AWIPEV_2016-AMUST; AWIPEV_2016-AMUST_KB3; AWIPEV_2017-AMUST; AWIPEV_2017-AMUST_KB3; AWIPEV_2018-AMUST; AWIPEV_2018-AMUST_KB3; Campaign; Carbon, inorganic, total; Carbon, organic, particulate; Carbon, organic, particulate/chlorophyll a ratio; Carbon, organic, particulate/Nitrogen, organic, particulate ratio; Carbon dioxide, partial pressure; Carbon fixation rate; Carbon fixation rate, per chlorophyll a; Chlorophyll a; Connectivity between photosystem II; DATE/TIME; DEPTH, water; Dimethylsulfoniopropionate; Effective absorbance cross-section of photosystem II; FAABulous; FAABulous: Future Arctic Algae Blooms and their role in the context of climate change; Fast repetition rate fluorometry (FRRF) (Kolber & Falkowski, 1993); inorganic nutrients; Kongsfjorden; KOP151; Light saturation point; Maximal absolute electron transfer rate; MON; Monitoring; Nitrate; Nitrogen, organic, particulate; Non photochemical quenching; pH; Phosphate; Photosystem II re-opening rate; Phytoplankton; primary production; Quantum yield efficiency of photosystem II; Salinity; Silicate; Slope; Station label; Temperature, water; Water samples
    Type: Dataset
    Format: text/tab-separated-values, 2454 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2024-05-27
    Description: Ocean acidification (OA) appears to have diverse impacts on calcareous coccolithophores, but the cellular processes underlying these responses are not well understood. Here we use stable boron and carbon isotopes, B/Ca ratios, as well as inorganic and organic carbon production rates to investigate the carbon utilization and the internal pH regulation at the site of calcification in Emiliania huxleyi, Pleurochrysis carterae and Calcidiscus leptoporus cultured over a wide pCO2 range (180 to 1000 μatm). Despite large variability, the geochemistry data indicate species-specific modes of pH control and differences in the utilization of inorganic carbon. Boron isotope data suggest that all three species generally upregulate the pH of the calcification fluid (pHCF) compared to surrounding seawater, which coincides with relatively constant growth rates and cellular ratios of inorganic to organic carbon. Furthermore, species exhibit different strategies in regulating their pHCF, i.e., two species maintain homeostasis (pHCF = ∼ 8.7), while one species shows a constant offset to the surrounding seawater (ΔpH = ∼0.6 units) over the entire tested pCO2 range. In addition to these different strategies, carbon isotope data suggests that high plasticity in the utilization of dissolved inorganic carbon might be an explanation for species-specific differences in coccolithophore responses to OA.
    Keywords: Acid-base regulation; Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Bicarbonate ion; Biomass/Abundance/Elemental composition; Boron/Calcium ratio; Boron/Calcium ratio, standard deviation; Bottles or small containers/Aquaria (〈20 L); Calcidiscus leptoporus; Calcification/Dissolution; Calcifying fluid, pH; Calcifying fluid, pH, standard deviation; Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbon, inorganic, particulate, per cell; Carbon, inorganic, particulate, production per cell; Carbon, organic, particulate, per cell; Carbon, organic, particulate, production per cell; Carbon, organic, particulate, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chromista; Difference δ13C, particulate inorganic carbon and dissolved inorganic carbon; Difference δ13C, particulate inorganic carbon and dissolved inorganic carbon, standard deviation; Difference δ13C, particulate organic carbon and dissolved inorganic carbon; Difference δ13C, particulate organic carbon and dissolved inorganic carbon, standard deviation; Emiliania huxleyi; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Growth rate, standard deviation; Haptophyta; Identification; Iron/Calcium ratio; Iron/Calcium ratio, standard deviation; Laboratory experiment; Laboratory strains; Magnesium/Calcium ratio; Magnesium/Calcium ratio, standard deviation; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Other studied parameter or process; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate inorganic carbon/particulate organic carbon ratio; Particulate inorganic carbon/particulate organic carbon ratio, standard deviation; Particulate inorganic carbon per cell, standard deviation; Pelagos; pH; pH, difference; pH, difference, standard deviation; pH, standard deviation; Phytoplankton; Pleurochrysis carterae; Potentiometric; Potentiometric titration; Primary production/Photosynthesis; Registration number of species; Salinity; Single species; Species; Temperature, water; Temperature, water, standard deviation; Type; Uniform resource locator/link to reference; δ11B; δ11B, standard deviation; δ13C, dissolved inorganic carbon; δ13C, dissolved inorganic carbon, standard deviation; δ13C, particulate inorganic carbon; δ13C, particulate inorganic carbon, standard deviation; δ13C, particulate organic carbon; δ13C, particulate organic carbon, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 1945 data points
    Location Call Number Limitation Availability
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