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  • 2020-2024  (32)
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  • 1
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    Sea-ice meiofauna (〉10 µm) abundance in Arctic pack ice north of Svalbard during the Polarstern expedition PS92 in 2015 (2020)
    PANGAEA
    Details
    Publication Date: 2023-04-13
    Description: We investigated the taxonomic composition and abundance of sea-ice meiofauna (here heterotrophs 〉10 µm) at eight ice stations on Arctic pack ice north of Svalbard. Sampling was conducted during spring in 2015 by sea-ice coring. The bottom 10 cm of each ice core was investigated for sea-ice meiofauna and abundances of individuals/m² were calculated from counting numbers.
    Keywords: Abundance; Amoebozoa; Arctic; Arctic Ocean; ARK-XXIX/1, TRANSSIZ; Campaign; Ciliophora; DATE/TIME; Event label; Gyrodinium; Harpacticoida; ICE; Ice station; LATITUDE; Location; LONGITUDE; Nauplii; pack ice; Podolampas; Polarstern; Polykrikos; Principal investigator; Protoperidinium; PS92; PS92/019-6; PS92/027-2; PS92/031-2; PS92/032-4; PS92/039-6; PS92/043-4; PS92/046-1; PS92/047-3; Rotifera; sea-ice meiofauna; Station label; Svalbard; sympagic fauna; Tintinnina; Type
    Type: Dataset
    Format: text/tab-separated-values, 120 data points
    Location Call Number Expected Availability
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  • 2
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    Under-ice fauna abundance of Arctic pack ice north of Svalbard during the Polarstern expedition PS92 in 2015 (2020)
    PANGAEA
    Details
    Publication Date: 2023-07-10
    Description: We investigated the taxonomic composition and abundance of under-ice fauna (metazoans 〉300 µm) at fourteen stations in the Arctic Ocean, north of Svalbard. Sampling was conducted during spring in 2015 with the Surface and Under Ice Trawl (SUIT) and the catch of the plankton net (300 µm mesh size) was investigated for under-ice fauna. Abundances of individuals/m² were calculated from counting numbers.
    Keywords: Abundance; Apherusa glacialis; Appendicularia; Arctic; Arctic Ocean; ARK-XXIX/1, TRANSSIZ; Calanus finmarchicus; Calanus glacialis; Calanus hyperboreus; Campaign; Cast number; Chaetognatha; Cirripedia, larvae; Clausocalanidae; Clione limacina; DATE/TIME; Eukrohnia hamata; Eusirus spp.; Event label; Gear; Harpacticoida; Hydrozoa; Isopoda; LATITUDE; Limacina helicina; Location; LONGITUDE; Metridia longa; Nauplii; Oikopleura spp.; Oithona sp.; Onisimus glacialis; Osteichthyes, larvae; pack ice; Paraeuchaeta spp.; Parasagitta elegans; Polarstern; Polychaeta; Principal investigator; PS92; PS92/019-1; PS92/027-1; PS92/028-4; PS92/031-1; PS92/032-12; PS92/038-1; PS92/039-17; PS92/043-23; PS92/044-1; PS92/045-1; PS92/047-1; PS92/048-1; PS92/049-1; PS92/056-2; Station label; SUIT; Surface and under ice trawl; Svalbard; sympagic fauna; Themisto abyssorum; Themisto libellula; Themisto spp.; Thysanoessa longicaudata; Tisbe spp.; Trawling distance; Trochophora, larvae; under-ice fauna; Volume; Xenacoelomorpha; Zoaea, larvae
    Type: Dataset
    Format: text/tab-separated-values, 560 data points
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  • 3
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    Profile of horizontal fish echo sounding during POLARSTERN cruise PS122/2 with links to raw data files (2020)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2023-11-13
    Description: This dataset contains hydroacoustic measurements collected by the Simrad EK60/EK80 echosounder of RV Polarstern during its drift across the Central Arctic Ocean during the MOSAiC expedition (PS122) from October 2019 to October 2020. We provide data for the frequencies 38, 70, 120 and 200 kHz (synchronized), and 18 kHz. The data are uncalibrated raw measurements of acoustic backscatter in the Simrad raw format. The data should only be used after careful consideration of the disclaimer on appropriate scientific use of the data provided with this dataset.
    Keywords: Arctic Ocean; DATE/TIME; Echosounder, Simrad, EK60; EK60_EK80; Fish finder echolot, EK60 / EK80; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/2; PS122/2_14-117; Uniform resource locator/link to raw data file
    Type: Dataset
    Format: text/tab-separated-values, 40473 data points
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  • 4
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    Physical properties of sea ice cores for biogeochemistry studies measured on legs 1 to 3 of the MOSAiC expedition (2022)
    PANGAEA
    Details
    Publication Date: 2024-03-01
    Description: We present sea ice temperature and salinity data from first-year ice (FYI) and second-year ice (SYI) relevant to the temporal development of sea ice permeability and brine drainage efficiency from the early growth phase in October 2019 to the onset of spring warming in May 2020. Our dataset was collected in the central Arctic Ocean during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Expedition in 2019 to 2020. MOSAiC was an international transpolar drift expedition in which the German icebreaker RV Polarstern anchored into an ice floe to gain new insights into Arctic climate over a full annual cycle. In October 2019, RV Polarstern moored to an ice floe in the Siberian sector of the Arctic at 85 degrees north and 137 degrees east to begin the drift towards the North Pole and the Fram Strait via the Transpolar Drift Stream. The data presented here were collected during the first three legs of the expedition, so all the coring activities took place on the same floe. The end dates of legs 1, 2, and 3 were 13 December, 24 February, and 4 June, respectively. The dataset contributed to a baseline study entitled, Deciphering the properties of different Arctic ice types during the growth phase of the MOSAiC floes: Implications for future studies. The study highlights downward directed gas pathways in FYI and SYI by inferring sea ice permeability and potential brine release from several time series of temperature and salinity measurements. The physical properties presented in this paper lay the foundation for subsequent analyses on actual gas contents measured in the ice cores, as well as air-ice and ice-ocean gas fluxes. Sea ice cores were collected with a Kovacs Mark II 9 cm diameter corer. To measure ice temperatures, about 4.5 cm deep holes were drilled into the core (intervals varied by site and leg) . The temperatures were measured by a digital thermometer within minutes after the cores were retrieved. The ice cores were placed into pre-labelled plastic sleeves sealed at the bottom end. The ice cores were transported to RV Polarstern and stored in a -20 degrees Celsius freezer. Each of the cores was sub-sampled, melted at room temperature, and processed for salinity within one or two days. The practical salinity was estimated by measuring the electrical conductivity and temperature of the melted samples using a WTW Cond 3151 salinometer equipped with a Tetra-Con 325 four-electrode conductivity cell. The practical salinity represents the the salinity estimated from the electrical conductivity of the solution. The dataset also contains derived variables, including sea ice density, brine volume fraction, and the Rayleigh number.
    Keywords: AC3; Arctic Amplification; Arctic Ocean; Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic; ARICE; brine; first-year ice; HAVOC; MOSAiC; MOSAiC_BGC; MOSAiC_ECO; MOSAiC_ICE; MOSAiC_SNOW; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; Sea ice; second-year ice; Temperature and Salinity
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 5
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    First-year sea-ice salinity, temperature, density, oxygen and hydrogen isotope composition from the main coring site (MCS-FYI) during MOSAiC legs 1 to 4 in 2019/2020 (2023)
    PANGAEA
    Details
    Publication Date: 2024-03-01
    Description: First-year sea-ice thickness, draft, salinity, temperature, and density were measured during near-weekly surveys at the main first-year ice coring site (MCS-FYI) during the MOSAiC expedition (legs 1 to 4). The ice cores were extracted either with a 9-cm (Mark II) or 7.25-cm (Mark III) internal diameter ice corers (Kovacs Enterprise, US). This data set includes data from 23 coring site visits and were performed from 28 October 2019 to 29 July 2020 at coring locations within 130 m to each other in the MOSAiC Central Observatory. During each coring event, ice temperature was measured in situ from a separate temperature core, using Testo 720 thermometers in drill holes with a length of half-core-diameter at 5-cm vertical resolution. Ice bulk practical salinity was measured from melted core sections at 5-cm resolution using a YSI 30 conductivity meter. Ice density was measured using the hydrostatic weighing method (Pustogvar and Kulyakhtin, 2016) from a density core in the freezer laboratory onboard Polarstern at the temperature of –15°C. Relative volumes of brine and gas were estimated from ice salinity, temperature and density using Cox and Weeks (1983) for cold ice and Leppäranta and Manninen (1988) for ice warmer than –2°C. The data contains the event label (1), time (2), and global coordinates (3,4) of each coring measurement and sample IDs (13, 15). Each salinity core has its manually measured ice thickness (5), ice draft (6), core length (7), and mean snow height (22). Each core section has the total length of its top (8) and bottom (9) measured in situ, as well estimated depth of section top (10), bottom (11), and middle (12). The depth estimates assume that the total length of all core sections is equal to the measured ice thickness. Each core section has the value of its practical salinity (14), isotopic values (16, 17, 18) (Meyer et al., 2000), as well as sea ice temperature (19) and ice density (20) interpolated to the depth of salinity measurements. The global coordinates of coring sites were measured directly. When it was not possible, coordinates of the nearby temperature buoy 2019T66 were used. Ice mass balance buoy 2019T66 installation is described in doi:10.1594/PANGAEA.938134. Brine volume (21) fraction estimates are presented only for fraction values from 0 to 30%. Each core section also has comments (23) describing if the sample is from a false bottom, from rafted ice or has any other special characteristics. Macronutrients from the salinity core, and more isotope data will be published in a subsequent version of this data set.
    Keywords: Arctic; Arctic Ocean; Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic; ARICE; Calculated; Comment; Core length; cores; DATE/TIME; density; Density, ice; Depth, adjusted; Depth, adjusted bottom; Depth, adjusted top; Depth, ice/snow, bottom/maximum; Depth, ice/snow, top/minimum; Deuterium excess; Ecological monitoring; Event label; HAVOC; Hydrostatic weighing; IC; Ice corer; ICEGAUGE; Ice thickness gauge; Isotopic liquid water analyzer; LATITUDE; LONGITUDE; MOSAiC; MOSAiC_ECO; MOSAiC_ICE; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Physical properties; Polarstern; PS122/1; PS122/1_10-19; PS122/1_5-3; PS122/1_6-34; PS122/1_7-6; PS122/1_7-97; PS122/1_8-2; PS122/1_9-6; PS122/1_9-93; PS122/2; PS122/2_17-3; PS122/2_19-7; PS122/2_21-13; PS122/2_23-3; PS122/2_24-8; PS122/3; PS122/3_32-63; PS122/3_35-11; PS122/3_36-21; PS122/3_38-24; PS122/3_39-7; PS122/4; PS122/4_44-134; PS122/4_46-18; PS122/4_47-16; PS122/4_48-23; PS122/4_49-34; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; Salinity; Salinometer, inductive; Sample ID; Sea ice; Sea ice draft; Sea ice salinity; Sea ice thickness; Snow height; Tape measure; Temperature; Temperature, ice/snow; Thermometer; time-series; Volume, brine; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 7847 data points
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  • 6
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    Algal pigment concentrations in the ocean during the Arctic MOSAiC-expedition (2023)
    PANGAEA
    Details
    Publication Date: 2024-03-02
    Description: Algal pigment concentrations were retrieved from ocean samples, during the whole MOSAiC expedition (Multidisciplinary drifting Observatory for the Study of Arctic Climate) in 2019 to 2020. During MOSAiC, RV Polarstern anchored into an ice floe to gain new insights into Arctic climate over a full annual cycle. Ocean data were collected starting with the onset of the study, at 85 degrees north and 137 degrees east, following the drift towards the Fram Strait, and returning to the North Pole in the last leg of the expedition. Ocean samples were collected with a CTD, either from the ship, or from the ice floe in Ocean City (Rabe et al. 2022). Altogether 216 samples have been collected and analysed. After extraction in 90 % acetone, samples were analysed using high-performance liquid chromatography (HPLC) on a Waters system. Algal pigments contain a multiple set of information. Firstly, pigment concentrations can show the presence of algal biomass in the various water masses sampled. Secondly, marker pigments can reveal seasonal and temporal dynamics in algal community structure, by discerning specific algal classes like diatoms, cryptophytes, haptophytes and chlorophytes that have specific roles in biogeochemical cycles. Thirdly, certain pigments are indicative of the (photo)-physiological state of micro-algae and fourth, degradation products of the main chlorophyll a pigment further give an indication about senescence and grazing in the various habitats.
    Keywords: 19'-Hexanoyloxy-4-ketofucoxanthin; 19-Butanoyloxyfucoxanthin; 19-Hexanoyloxyfucoxanthin; Alloxanthin; alpha-Carotene; Arctic Ocean; beta-Carotene; Chlorophyll a, total; Chlorophyll b; Chlorophyll c1+c2; Chlorophyll c3; Comment; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Diadinoxanthin; Diatoxanthin; Dinoxanthin; Echinenone; Event label; Fucoxanthin; Gear; Gyroxanthin diester; High Performance Liquid Chromatography (HPLC); LATITUDE; LONGITUDE; Lutein; Lycopene; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Neoxanthin; Peridinin; Pheophorbides; Polarstern; Prasinoxanthin; PS122/1; PS122/1_10-44; PS122/1_6-58; PS122/1_7-49; PS122/1_8-46; PS122/1_9-50; PS122/2; PS122/2_17-41; PS122/2_18-34; PS122/2_19-56; PS122/2_20-46; PS122/2_21-65; PS122/2_22-47; PS122/2_23-63; PS122/2_25-54; PS122/3; PS122/3_30-40; PS122/3_30-53; PS122/3_31-39; PS122/3_31-59; PS122/3_32-75; PS122/3_33-69; PS122/3_34-77; PS122/3_34-97; PS122/3_35-63; PS122/3_36-81; PS122/3_37-45; PS122/3_38-54; PS122/3_39-51; PS122/3_40-36; PS122/4; PS122/4_44-184; PS122/4_44-67; PS122/4_45-31; PS122/4_46-60; PS122/4_47-60; PS122/4_48-62; PS122/4_49-10; PS122/4_49-25; PS122/4_50-21; PS122/5; PS122/5_59-274; PS122/5_59-306; PS122/5_59-62; PS122/5_59-72; PS122/5_60-69; PS122/5_61-161; PS122/5_63-53; PUMP; Sample code/label; Violaxanthin; Water pump; Zeaxanthin
    Type: Dataset
    Format: text/tab-separated-values, 5633 data points
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  • 7
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    Phaeocystis pouchetii's responses to temperature (2 vs. 6 °C), light (55 vs. 160 µmol photons m-2 s-1) and pCO2 (400 vs. 1000 µatm) (2022)
    PANGAEA
    Details
    Publication Date: 2024-01-26
    Description: We assessed the responses of solitary cells of Arctic Phaeocystis pouchetii (Strain PS78) grown under a matrix of temperature (2°C vs. 6°C), light intensity (55 vs. 160 μmol photons m-2 s-1) and CO2 partial pressures (pCO2; 400 vs. 1000 μatm). Before the experiments, the strain (isolated during Polarstern cruise PS78 in 2011) was kept as stock culture at 1° in 0.2 µm sterile-filtered Arctic seawater (Salinity 33), enriched with vitamins and trace metals according to F/2 medium (Guillard & Ryther, 1962). Nitrate and phosphate were added in concentrations of 100 and 6 µmol L-1, respectively. Experiments were conducted between May 2016 and September 2017 at the Alfred-Wegener-Institute, using standardized media and continuous light exposition. Next to acclimation parameters (growth rates, particulate and dissolved organic carbon and nitrogen, chlorophyll a content), we measured physiological processes in-vivo (electron transport rates and net photosynthesis) using fast-repetition rate fluorometry and membrane-inlet mass spectrometry.
    Keywords: Alkalinity, total; Bottle incubation; calculated from carbonate chemistry using the CO2Sys Excel sheet (Pierrot, Lewis & Wallace, 2006); calculated from chlorophyll a (chl a) and particulate organic carbon (POC) quota; calculated from growth rate and particulate organic carbon (POC) quota; calculated from growth rate and particulate organic nitrogen (PON) quota; calculated from particulate organic carbon (POC) and particulate organic nitrogen (PON) quota; Carbon, inorganic, dissolved; Carbon dioxide, partial pressure; Colorimetric detection, TRAACs continuous flow autoanalyzer, according to the method of Stoll et al. (2001); Coulter counter, Beckman Coulter, Multisizer 3; DATE/TIME; Electron transport rate, relative; Elemental analyzer, EuroVector, EuroEA; EXP; Experiment; Experimental treatment; Fitted parameter using the photosynthesis vs. Irradiance equation from Rokitta & Rost (2012), raw data obtained using a membrane-inlet mass spectrometer (MIMS) as described in Kottmeier, Rokitta & Rost (2016); Fitted parameter using the photosynthesis vs. Irradiance equation from Rokitta & Rost (2012); raw data obtained using a fast-repetition rate fluoremeter (FRRF), FastOcean PTX with FastAct Laboratory system, Chelsea Technologies after Oxborough et al. (201; Fluorometer, Turner Designs, TD-700, using acidification method (Knap et al., 1996); Fram Strait; Identification; Initial slope of the photosynthesis-irradiance curve; Initial slope of the photosynthesis-irradiance curve, relative electron transfer rate per unit light; Light; Light acclimation index; Maximum photosynthesis rate, oxygen, per chlorophyll a; model simulation; pCO2; pCO2 mixed from CO2-free air and pure CO2 with a custom built gas mixing system; pH; pH 826 mobile handheld device, with Aquatrode Plus, Metrohm; Phaeocystis_pouchetii_PS78; Phaeocystis pouchetii; Phaeocystis pouchetii, carbon, organic, particulate/nitrogen, organic, particulate ratio; Phaeocystis pouchetii, chlorophyll a/carbon, organic, particulate ratio; Phaeocystis pouchetii, chlorophyll a quota per cell; Phaeocystis pouchetii, growth rate; Phaeocystis pouchetii, particulate organic carbon production per cell; Phaeocystis pouchetii, particulate organic carbon quota per cell; Phaeocystis pouchetii, particulate organic nitrogen production per cell; Phaeocystis pouchetii, particulate organic nitrogen quota per cell; Phytoplankton; RCP8.5; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Strain; Temperature; Temperature, water; Thermometer, internal, Aquatrode Plus, Metrohm; Treatment: light intensity; Treatment: partial pressure of carbon dioxide; Treatment: temperature; Type of study; Universal light meter & data logger, WALZ, ULM-500, with 4Pi sensor, LI-COR
    Type: Dataset
    Format: text/tab-separated-values, 908 data points
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  • 8
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    Seawater carbonate chemistry and Phaeocystis pouchetii's responses to temperature (2 vs. 6 °C), light (55 vs. 160 µmol photons m-2 s-1) and pCO2 (400 vs. 1000 µatm) (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-15
    Description: We assessed the responses of solitary cells of Arctic Phaeocystis pouchetii (Strain PS78) grown under a matrix of temperature (2°C vs. 6°C), light intensity (55 vs. 160 μmol photons m-2 s-1) and CO2 partial pressures (pCO2; 400 vs. 1000 μatm). Before the experiments, the strain (isolated during Polarstern cruise PS78 in 2011) was kept as stock culture at 1° in 0.2 µm sterile-filtered Arctic seawater (Salinity 33), enriched with vitamins and trace metals according to F/2 medium (Guillard & Ryther, 1962). Nitrate and phosphate were added in concentrations of 100 and 6 µmol L-1, respectively. Experiments were conducted between May 2016 and September 2017 at the Alfred-Wegener-Institute, using standardized media and continuous light exposition. Next to acclimation parameters (growth rates, particulate and dissolved organic carbon and nitrogen, chlorophyll a content), we measured physiological processes in-vivo (electron transport rates and net photosynthesis) using fast-repetition rate fluorometry and membrane-inlet mass spectrometry. In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2022) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2024-01-20.
    Keywords: Alkalinity, total; Aragonite saturation state; Arctic; Bicarbonate ion; Biomass/Abundance/Elemental composition; Bottle incubation; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; calculated from carbonate chemistry using the CO2Sys Excel sheet (Pierrot, Lewis & Wallace, 2006); calculated from chlorophyll a (chl a) and particulate organic carbon (POC) quota; calculated from growth rate and particulate organic carbon (POC) quota; calculated from growth rate and particulate organic nitrogen (PON) quota; calculated from particulate organic carbon (POC) and particulate organic nitrogen (PON) quota; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, organic, particulate, per cell; Carbon, organic, particulate/Nitrogen, organic, particulate ratio; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chlorophyll a/particulate organic carbon ratio; Chlorophyll a per cell; Chromista; Colorimetric detection, TRAACs continuous flow autoanalyzer, according to the method of Stoll et al. (2001); Coulter counter, Beckman Coulter, Multisizer 3; Date/time end; Date/time start; Electron transport rate, relative; Elemental analyzer, EuroVector, EuroEA; EXP; Experiment; Experimental treatment; Fitted parameter using the photosynthesis vs. Irradiance equation from Rokitta & Rost (2012), raw data obtained using a membrane-inlet mass spectrometer (MIMS) as described in Kottmeier, Rokitta & Rost (2016); Fitted parameter using the photosynthesis vs. Irradiance equation from Rokitta & Rost (2012); raw data obtained using a fast-repetition rate fluoremeter (FRRF), FastOcean PTX with FastAct Laboratory system, Chelsea Technologies after Oxborough et al. (201; Fluorometer, Turner Designs, TD-700, using acidification method (Knap et al., 1996); Fram Strait; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth rate; Haptophyta; Initial slope of the photosynthesis-irradiance curve, relative electron transfer rate per unit light; Laboratory experiment; Light; Light acclimation index; Maximum photosynthesis rate, oxygen, per chlorophyll a; Nitrogen, organic, particulate, per cell; OA-ICC; Ocean Acidification International Coordination Centre; Open ocean; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate organic carbon production per cell; pCO2 mixed from CO2-free air and pure CO2 with a custom built gas mixing system; Pelagos; pH; pH 826 mobile handheld device, with Aquatrode Plus, Metrohm; Phaeocystis_pouchetii_PS78; Phaeocystis pouchetii; Phytoplankton; Polar; Primary production/Photosynthesis; Production of particulate organic nitrogen; Replicate; Single species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Strain; Temperature; Temperature, water; Thermometer, internal, Aquatrode Plus, Metrohm; Treatment: light intensity; Treatment: partial pressure of carbon dioxide; Treatment: temperature; Type of study; Universal light meter & data logger, WALZ, ULM-500, with 4Pi sensor, LI-COR
    Type: Dataset
    Format: text/tab-separated-values, 1580 data points
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  • 9
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    Physical properties of sea ice cores from site MCS_FYI measured on legs 1 to 3 of the MOSAiC expedition (2022)
    PANGAEA
    Details
    Publication Date: 2024-03-01
    Description: We present sea ice temperature and salinity data from first-year ice (FYI) and second-year ice (SYI) relevant to the temporal development of sea ice permeability and brine drainage efficiency from the early growth phase in October 2019 to the onset of spring warming in May 2020. Our dataset was collected in the central Arctic Ocean during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Expedition in 2019 to 2020. MOSAiC was an international transpolar drift expedition in which the German icebreaker RV Polarstern anchored into an ice floe to gain new insights into Arctic climate over a full annual cycle. In October 2019, RV Polarstern moored to an ice floe in the Siberian sector of the Arctic at 85 degrees north and 137 degrees east to begin the drift towards the North Pole and the Fram Strait via the Transpolar Drift Stream. The data presented here were collected during the first three legs of the expedition, so all the coring activities took place on the same floe. The end dates of legs 1, 2, and 3 were 13 December, 24 February, and 4 June, respectively. The dataset contributed to a baseline study entitled, Deciphering the properties of different Arctic ice types during the growth phase of the MOSAiC floes: Implications for future studies. The study highlights downward directed gas pathways in FYI and SYI by inferring sea ice permeability and potential brine release from several time series of temperature and salinity measurements. The physical properties presented in this paper lay the foundation for subsequent analyses on actual gas contents measured in the ice cores, as well as air-ice and ice-ocean gas fluxes. Sea ice cores were collected with a Kovacs Mark II 9 cm diameter corer. To measure ice temperatures, about 4.5 cm deep holes were drilled into the core (intervals varied by site and leg) . The temperatures were measured by a digital thermometer within minutes after the cores were retrieved. The ice cores were placed into pre-labelled plastic sleeves sealed at the bottom end. The ice cores were transported to RV Polarstern and stored in a -20 degrees Celsius freezer. Each of the cores was sub-sampled, melted at room temperature, and processed for salinity within one or two days. The practical salinity was estimated by measuring the electrical conductivity and temperature of the melted samples using a WTW Cond 3151 salinometer equipped with a Tetra-Con 325 four-electrode conductivity cell. The practical salinity represents the the salinity estimated from the electrical conductivity of the solution. The dataset also contains derived variables, including sea ice density, brine volume fraction, and the Rayleigh number.
    Keywords: AC3; after Cox & Weeks (1983); Arctic Amplification; Arctic Ocean; Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic; ARICE; brine; DATE/TIME; Density, ice; DEPTH, ice/snow; Estimated from electrical conductivity and temperature of the melted ice samples; Event label; first-year ice; HAVOC; IC; Ice corer; Linear interpolation at the midpoint of the sample based on the measurements from the ice temperature profile; MOSAiC; MOSAiC_BGC; MOSAiC_ECO; MOSAiC_ICE; MOSAiC_SNOW; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_10-19; PS122/1_5-3; PS122/1_6-34; PS122/1_7-6; PS122/1_8-2; PS122/1_9-6; PS122/2; PS122/2_17-3; PS122/2_19-7; PS122/2_21-13; PS122/2_23-3; PS122/2_24-8; PS122/3; PS122/3_32-63; PS122/3_35-11; PS122/3_36-21; PS122/3_38-24; PS122/3_39-7; Rayleigh number; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; Salinity; Sea ice; second-year ice; see comment; Site; Temperature, ice/snow; Temperature and Salinity; Utility; Volume, brine
    Type: Dataset
    Format: text/tab-separated-values, 2653 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 10
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    Physical properties of sea ice cores from site MCS-SYI measured on legs 1 to 3 of the MOSAiC expedition (2022)
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    Publication Date: 2024-03-01
    Description: We present sea ice temperature and salinity data from first-year ice (FYI) and second-year ice (SYI) relevant to the temporal development of sea ice permeability and brine drainage efficiency from the early growth phase in October 2019 to the onset of spring warming in May 2020. Our dataset was collected in the central Arctic Ocean during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Expedition in 2019 to 2020. MOSAiC was an international transpolar drift expedition in which the German icebreaker RV Polarstern anchored into an ice floe to gain new insights into Arctic climate over a full annual cycle. In October 2019, RV Polarstern moored to an ice floe in the Siberian sector of the Arctic at 85 degrees north and 137 degrees east to begin the drift towards the North Pole and the Fram Strait via the Transpolar Drift Stream. The data presented here were collected during the first three legs of the expedition, so all the coring activities took place on the same floe. The end dates of legs 1, 2, and 3 were 13 December, 24 February, and 4 June, respectively. The dataset contributed to a baseline study entitled, Deciphering the properties of different Arctic ice types during the growth phase of the MOSAiC floes: Implications for future studies. The study highlights downward directed gas pathways in FYI and SYI by inferring sea ice permeability and potential brine release from several time series of temperature and salinity measurements. The physical properties presented in this paper lay the foundation for subsequent analyses on actual gas contents measured in the ice cores, as well as air-ice and ice-ocean gas fluxes. Sea ice cores were collected with a Kovacs Mark II 9 cm diameter corer. To measure ice temperatures, about 4.5 cm deep holes were drilled into the core (intervals varied by site and leg) . The temperatures were measured by a digital thermometer within minutes after the cores were retrieved. The ice cores were placed into pre-labelled plastic sleeves sealed at the bottom end. The ice cores were transported to RV Polarstern and stored in a -20 degrees Celsius freezer. Each of the cores was sub-sampled, melted at room temperature, and processed for salinity within one or two days. The practical salinity was estimated by measuring the electrical conductivity and temperature of the melted samples using a WTW Cond 3151 salinometer equipped with a Tetra-Con 325 four-electrode conductivity cell. The practical salinity represents the the salinity estimated from the electrical conductivity of the solution. The dataset also contains derived variables, including sea ice density, brine volume fraction, and the Rayleigh number.
    Keywords: AC3; after Cox & Weeks (1983); Arctic Amplification; Arctic Ocean; Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic; ARICE; brine; DATE/TIME; Density, ice; DEPTH, ice/snow; Estimated from electrical conductivity and temperature of the melted ice samples; Event label; first-year ice; HAVOC; IC; Ice corer; Linear interpolation at the midpoint of the sample based on the measurements from the ice temperature profile; MOSAiC; MOSAiC_BGC; MOSAiC_ECO; MOSAiC_ICE; MOSAiC_SNOW; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_10-16; PS122/1_5-78; PS122/1_6-36; PS122/1_7-9; PS122/1_9-11; PS122/2; PS122/2_20-5; PS122/2_22-7; PS122/2_25-15; PS122/3; PS122/3_33-18; PS122/3_36-4; PS122/3_38-16; PS122/3_39-18; Rayleigh number; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; Salinity; Sea ice; second-year ice; see comment; Site; Temperature, ice/snow; Temperature and Salinity; Utility; Volume, brine
    Type: Dataset
    Format: text/tab-separated-values, 2331 data points
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