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  • 1
    Publication Date: 2023-01-13
    Description: A detailed survey of a high Arctic fjord (Kongsfjorden, Svalbard),subjected to a large glacier discharge, was carried out from 24 July to 13 August 2016. Field activities addressed the identification ofthe effects of glacier and iceberg melting on the evolution of nutrient, dissolved organic matter and carbonate systems in this coastal marine environment. Complete CTD profiles were collected in 60 marine stations in theinner area of Kongsfjorden, during six oceanographic surveys, by means of CTD downcasts. CTD profiles were acquired with a Seabird 19plus SeaCATprofiler, equipped with a TURNER Cyclops turbidimeter.
    Keywords: Conductivity; CTD, Seabird 19plus; CTD/Rosette; CTD-RO; DATE/TIME; Density, sigma-theta (0); DEPTH, water; ELEVATION; Event label; LATITUDE; LONGITUDE; OCEAN-CERTAIN; Ocean Food-web Patrol – Climate Effects: Reducing Targeted Uncertainties with an Interactive Network; pHinS; pH Tipping Point in Svalbard; Pressure, water; Salinity; Sample code/label; Station label; Survey-1_ITA001; Survey-1_ITA004; Survey-1_ITA008; Survey-1_ITA009bis; Survey-1_ITA019; Survey-2_ITA001; Survey-2_ITA004; Survey-2_ITA006; Survey-2_ITA006bis; Survey-2_ITA008; Survey-2_ITA009; Survey-2_ITA009bis; Survey-2_ITA010; Survey-2_ITA011; Survey-2_ITA014; Survey-2_ITA017; Survey-2_ITA019; Survey-2_PH1; Survey-2_PH4; Survey-2_PH4bis; Survey-2_PH4tris; Survey-3_ITA006BIS; Survey-3_ITA007bis; Survey-3_ITA008; Survey-3_ITA009; Survey-3_ITA009bis; Survey-3_ITA010; Survey-3_ITA010bis; Survey-3_ITA011; Survey-3_ITA017BIS; Survey-3_ITA018BIS; Survey-3_PH10; Survey-3_PH11; Survey-3_PH12; Survey-3_PH4; Survey-3_PH4bis; Survey-3_PH4tris; Survey-4_ITA006BIS; Survey-4_ITA007bis; Survey-4_ITA009bis; Survey-4_ITA010bis; Survey-4_ITA018BIS; Survey-4_ITA018tris; Survey-4_ITA019bis; Survey-4_PH4tris; Survey-5_ITA001; Survey-5_ITA002; Survey-5_ITA004; Survey-5_ITA005; Survey-5_ITA006; Survey-5_ITA008; Survey-5_ITA011; Survey-5_ITA017; Survey-5_ITA019; Survey-5_PH1; Survey-5_PH1bis; Survey-5_PH25; Survey-5_PH26; Survey-6_ITA004; Survey-6_ITA006; Survey-6_ITA008; Survey-6_ITA009; Survey-6_ITA009bis; Survey-6_ITA013; Survey-6_ITA018tris; Survey-6_ITA019; Survey-6_PH1; Survey-6_PH4; Survey-6_PH4bis; Survey-6_PH4tris; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 73113 data points
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  • 2
    Publication Date: 2024-01-16
    Description: Oceanographic data were collected in 60 marine stationsinthe inner area ofKongsfjorden, during six oceanographic surveys (24 July -10 August 2016),by means ofCTD downcastsandbottle sampling.CTD profileswere acquired with a Seabird 19plus SeaCATprofiler,equipped with a TURNER Cyclops turbidimeter. Potential temperature (Θ, ITS-90; °C), salinity (Practical Salinity Scale, PSS-78) and potential density anomaly (σΘ, sigma-theta) were calculated according to McDougall et al. (2010).Seawater samples for chemical analyses were collected using 10 L Niskin bottles at 1-7 depths per station, depending on the depth of the station (9-304 m), withamore intensive sampling of upper layer. Samples for the determination of Dissolved Oxygen (DO;μmol L-1) were drawnin 60 mL borosilicate glass bottles and spiked with Winkler reagents.Samples forthe determination ofmacronutrients (nitrate, NO3-; nitrite, NO2-; reactive silicate, Si(OH)4; orthophosphate, PO43-; μmol L-1), Dissolved Organic Carbon (DOC, μmol L-1) and Nitrogen (DON, μmol L-1) were syringe filtered withprecombusted (450 °C, 4 h) GF/F filters, placed in acid-washed HDPE vials and stored at -20 °C until analysis.Seawater samples for the determination of pH, dissolved inorganic carbon (DIC; μmol kgSW-1) and total alkalinity (TA; μmol kgSW-1) were collected in borosilicate glass bottles. Sample lids were immediately greased (Apiezon L), sealed with positive pressure on the lid, and stored refrigerated (4 °C) in the dark until analysis. The samples were poisoned with 100 μL HgCl2soln. only if they could not be analysed within 24 hour of the collection (Dickson et al., 2007).
    Keywords: Acidification and FTIR; Alkalinity, total; Carbon, inorganic, dissolved; Carbon, organic, dissolved; Colorimetry, flow-segmented (Grasshoff et al. 1983); Conductivity; CTD, Sea-Bird, SBE 19plus; CTD/Rosette; CTD-RO; Date/Time of event; Density, mass density; Density, sigma-theta (0); DEPTH, water; Dissolved oxygen, automated Winkler (Strickland & Parsons, 1972); Elevation of event; Event label; HTCO, Shimadzu TOC-V; ICP, Inductively coupled plasma; Iron, dissolvable; Latitude of event; Longitude of event; Manganese, dissolvable; Nitrate; Nitrite; Nitrogen, total dissolved; OCEAN-CERTAIN; Ocean Food-web Patrol – Climate Effects: Reducing Targeted Uncertainties with an Interactive Network; Oxygen; Oxygen saturation; pH; pHinS; Phosphate; pH Tipping Point in Svalbard; Potentiometric titration; Pressure, water; Salinity; Silicate; Spectrophotometric method (NOVA); Survey-1_ITA001; Survey-1_ITA004; Survey-1_ITA008; Survey-1_ITA009bis; Survey-1_ITA019; Survey-2_ITA001; Survey-2_ITA004; Survey-2_ITA006; Survey-2_ITA006bis; Survey-2_ITA008; Survey-2_ITA009; Survey-2_ITA009bis; Survey-2_ITA010; Survey-2_ITA011; Survey-2_ITA014; Survey-2_ITA017; Survey-2_ITA019; Survey-2_PH1; Survey-2_PH4; Survey-2_PH4bis; Survey-2_PH4tris; Survey-3_ITA007bis; Survey-3_ITA008; Survey-3_ITA009; Survey-3_ITA009bis; Survey-3_ITA010; Survey-3_ITA010bis; Survey-3_PH10; Survey-3_PH12; Survey-3_PH4bis; Survey-3_PH4tris; Survey-4_ITA007bis; Survey-4_ITA009bis; Survey-4_ITA010bis; Survey-4_ITA018tris; Survey-4_ITA019bis; Survey-4_PH4tris; Survey-5_ITA001; Survey-5_ITA002; Survey-5_ITA004; Survey-5_ITA005; Survey-5_ITA006; Survey-5_ITA008; Survey-5_ITA017; Survey-5_ITA019; Survey-5_PH1; Survey-5_PH1bis; Survey-5_PH25; Survey-5_PH26; Survey-6_ITA004; Survey-6_ITA006; Survey-6_ITA008; Survey-6_ITA009; Survey-6_ITA009bis; Survey-6_ITA018tris; Survey-6_ITA019; Survey-6_PH1; Survey-6_PH4; Survey-6_PH4bis; Survey-6_PH4tris; Temperature, water; Temperature, water, potential; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 3506 data points
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  • 3
    Publication Date: 2024-01-16
    Description: Ice samples (1-2 kg) from small icebergs floating in the fjord were collected and returned to the laboratoryin insulated plastic boxes, rinsed with ultra-pure laboratory water and melted in low-density polyethylene bags. The first melt water was discarded, whereas the remaining freshwater was subsampled for the determination of chemical parameters.
    Keywords: Acidification and FTIR; Alkalinity, total; Carbon, inorganic, dissolved; Carbonate chemistry; Date/time end; Date/time start; DEPTH, water; glacier; Iceberg; LATITUDE; LONGITUDE; nutrients; Ocean acidification; OCEAN-CERTAIN; Ocean Food-web Patrol – Climate Effects: Reducing Targeted Uncertainties with an Interactive Network; Oxygen; Oxygen saturation; pHinS; pH Tipping Point in Svalbard; Portable Conductivity-Meter (LF325, WTW); Potentiometric titration; runoff; Sample code/label; Temperature, water; Winkler titration (Parsons et al. 1984)
    Type: Dataset
    Format: text/tab-separated-values, 131 data points
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  • 4
    Publication Date: 2024-01-16
    Description: Freshwater samples and physical parameterswere also collectedin theglacial drainages surrounding the fjordin 55 sampling points. This included supraglacial streams and proglacial watercourses from the moraines to the coast (0-5 km in length). Temperature and conductivityin freshwaterwere measured with a portable Conductivity-Meter (LF325, WTW). For chemical parameters, a 10 L carboy was submerged in streams until the bubbles were removed. Subsamples were then collected using a silicone tube for the determination of nutrients, DOC, DON, DIC, pH and TA.
    Keywords: Acidification and FTIR; Alkalinity, total; Carbon, inorganic, dissolved; Carbon, organic, dissolved; Carbonate chemistry; Colorimetry, flow-segmented (Grasshoff et al. 1983); Comment; Conductivity; CTD, Sea-Bird, SBE 19plus; Date/time end; Date/time start; Density, mass density; Density, sigma-theta (0); DEPTH, water; glacier; HTCO, Shimadzu TOC-V; Iceberg; LATITUDE; LONGITUDE; Nitrate; Nitrite; Nitrogen, total dissolved; nutrients; Ocean acidification; OCEAN-CERTAIN; Ocean Food-web Patrol – Climate Effects: Reducing Targeted Uncertainties with an Interactive Network; pH; pHinS; Phosphate; pH Tipping Point in Svalbard; Portable Conductivity-Meter (LF325, WTW); Potentiometric titration; runoff; Salinity; Sample code/label; Silicate; Station label; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 939 data points
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  • 5
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    In:  Supplement to: Cantoni, Carolina; Clarke, Jennifer; Chiggiato, Jacopo; Achterberg, Eric Pieter; Cozzi, Stefano (2020): Glacial drivers of marine biogeochemistry indicate a future shift to more corrosive conditions in an Arctic fjord. Journal of Geophysical Research: Biogeosciences, https://doi.org/10.1029/2020JG005633
    Publication Date: 2024-01-16
    Description: A detailed survey of a high Arctic fjord (Kongsfjorden, Svalbard), subjected to a large glacier discharge, was carried out from 24 July to 13 August 2016. Field activities addressed the identification of the effects of glacier and iceberg melting on the evolution of nutrient, dissolved organic matter and carbonate systems in this coastal marine environment. Hydrological (CTD downcasts) and biogeochemical (bottle sampling) data were collected during six oceanographic surveys in the inner area of the fjord, in concomitance to the annual phase of maximum air warming. An extensive sampling was also carried out in all glacier drainage systems located around the fjord and from several iceberg samples, in order to characterize all freshwater loads. The dataset includes hydrological data (T, Sal., density) carbonate chemistry data (pH, DIC, TA) and the concentrations of dissolved oxygen (DO), inorganic nutrients (NO3-, NO2-, NH4+, PO43-, SiO2), dissolved organic matter (DOC, DON) and some micronutrients (Fe, Mn).
    Keywords: Carbonate chemistry; glacier; Iceberg; nutrients; Ocean acidification; OCEAN-CERTAIN; Ocean Food-web Patrol – Climate Effects: Reducing Targeted Uncertainties with an Interactive Network; pHinS; pH Tipping Point in Svalbard; runoff
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 6
    Publication Date: 2024-04-20
    Description: The database includes 870 stations sampled during 24 cruises between 2004 and 2017 in the Western Mediterranean Sea mainly on board R/Vs of the Italian National Research Council. It includes bottle data combined with CTD data. In all stations, measurements were carried out with a CTD-rosette system consisting of a CTD SBE 911 plus and a General Oceanics rosette with 24 12-l Niskin Bottles at the observed depth of the bottle sample. Temperature measurements were performed with an SBE-3/F thermometer and conductivity measurements were performed with an SBE-4 sensor. The probes were calibrated before and after the cruise. Samples of nitrate, phosphate and silicate were frozen to -20°C and stored before being analysed in laboratories onshore using standard colorimetric methods. Measurements were subjected to a rigorous quality control and this dataset includes both the original dataset after primary quality control (see "Original version") and the product after secondary quality control (crossover analysis).
    Keywords: Bottle number; Cast number; chemical oceanography; CNR; Cruise/expedition; CTD, Sea-Bird, SBE 19plus; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Dissolved Inorganic Nutrient; LATITUDE; LONGITUDE; Nitrate; Phosphate; physical oceanography; Pressure, water; Quality flag; Salinity; Silicate; Station label; Temperature, water; Temperature, water, potential; Western_Mediterranean; Western Mediterranean Sea; WOCE quality flag
    Type: Dataset
    Format: text/tab-separated-values, 136541 data points
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  • 7
    Publication Date: 2024-05-08
    Description: This global database (CoastDOM v.1) contains both previously published and unpublished measurements of Dissolved organic carbon (DOC), nitrogen (DON) and phosphorus (DOP) in coastal waters. The dataset also contains hydrographic data such as temperature and salinity and, to the extent possible, other biogeochemical variables (e.g., Chlorophyll-a, inorganic nutrients) and the inorganic carbon system (e.g., dissolved inorganic carbon and total alkalinity). The data included were collected from 1978 to 2022 and consist of 62339 data points for DOC, 20360 for DON and 13440 for DOP.
    Keywords: Alkalinity, total; Ammonium; Analytical method; Carbon, inorganic, dissolved; Carbon, organic, dissolved; Carbon, organic, particulate; Chlorophyll a; Coastal waters; Comment; DATE/TIME; DEPTH, water; Dissolved Organic Carbon; Dissolved Organic Matter; dissolved organic nitrogen; dissolved organic phosphorus; ELEVATION; global database;; Hydrogen phosphate; Institution; LATITUDE; Location; LONGITUDE; Nitrate and Nitrite; Nitrogen, organic, dissolved; Nitrogen, particulate; Nitrogen, total dissolved; Phosphorus, organic, dissolved; Phosphorus, particulate; Phosphorus, total dissolved; Principal investigator; Quality flag, alkalinity, total; Quality flag, ammonium; Quality flag, carbon, inorganic, dissolved; Quality flag, carbon, organic, dissolved; Quality flag, carbon, organic, particulate; Quality flag, chlorophyll a; Quality flag, hydrogen phosphate; Quality flag, nitrate and nitrite; Quality flag, nitrogen, particulate; Quality flag, nitrogen, total dissolved; Quality flag, phosphorus, particulate; Quality flag, phosphorus, total dissolved; Reference/source; Salinity; Sample ID; Suspended solids, total; Temperature, water; World Oceans Circulation Experiment (WOCE) quality flags according to Jiang et al. (2022)
    Type: Dataset
    Format: text/tab-separated-values, 1286555 data points
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  • 8
    Publication Date: 2020-04-24
    Description: Freshwater discharge from glaciers is increasing across the Arctic in response to anthropogenic climate change, which raises questions about the potential downstream effects in the marine environment. Whilst a combination of long-term monitoring programmes and intensive Arctic field campaigns have improved our knowledge of glacier–ocean interactions in recent years, especially with respect to fjord/ocean circulation, there are extensive knowledge gaps concerning how glaciers affect marine biogeochemistry and productivity. Following two cross-cutting disciplinary International Arctic Science Committee (IASC) workshops addressing the importance of glaciers for the marine ecosystem, here we review the state of the art concerning how freshwater discharge affects the marine environment with a specific focus on marine biogeochemistry and biological productivity. Using a series of Arctic case studies (Nuup Kangerlua/Godthåbsfjord, Kongsfjorden, Kangerluarsuup Sermia/Bowdoin Fjord, Young Sound and Sermilik Fjord), the interconnected effects of freshwater discharge on fjord–shelf exchange, nutrient availability, the carbonate system, the carbon cycle and the microbial food web are investigated. Key findings are that whether the effect of glacier discharge on marine primary production is positive or negative is highly dependent on a combination of factors. These include glacier type (marine- or land-terminating), fjord–glacier geometry and the limiting resource(s) for phytoplankton growth in a specific spatio-temporal region (light, macronutrients or micronutrients). Arctic glacier fjords therefore often exhibit distinct discharge–productivity relationships, and multiple case-studies must be considered in order to understand the net effects of glacier discharge on Arctic marine ecosystems.
    Print ISSN: 1994-0416
    Electronic ISSN: 1994-0424
    Topics: Geography , Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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