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  • 1
    facet.materialart.
    Unknown
    Multi-year particle fluxes in Kongsfjorden, Svalbard (2018)
    Copernicus
    Details
    Publication Date: 2018-05-02
    Description: High latitude regions are warming faster than other areas due to reduction of snow cover, sea ice loss, changes in atmospheric and ocean circulation. The combination of these processes, collectively known as polar amplification, provides an extraordinary opportunity to document the ongoing thermal destabilisation of the terrestrial cryosphere and the release of land-derived material into the aquatic environment. This study presents a six-year time-series (2010–2016) of physical parameters and particles fluxes collected by an oceanographic mooring in Kongsfjorden (Spitsbergen, Svalbard). In recent decades, Kongsfjorden has been experiencing rapid loss of sea ice coverage and retreat of local glaciers as a result of the progressive increase of ocean and air temperatures. The overarching goal of this study was to continuous monitoring the inner fjord particle sinking and to understand to what extent the temporal evolution of particulate fluxes were linked to the progressive changes in both Atlantic and freshwater input. Our data show high peaks of settling particles during warm seasons, in terms of both organic and inorganic matter. The different sources of suspended particles were described as a mixing of glacier carbonate, glacier-silicoclastic and autochthonous marine input. The glacier releasing sediments into the fjord resulted to be the predominant source, while the sediment input by rivers was reduced at the mooring site. Our time-series showed that the seasonal sunlight exerted first-order control on the particulate fluxes in the inner fjord. The marine fraction peaked when the solar radiation was maxima in May–June while the land-derived fluxes exhibited a 1–2 months lag consistent with the maximum air temperature and glacier melting. The inter-annual time-weighted total mass fluxes varied two-order of magnitudes over time, with relatively higher values in 2011, 2013 and 2015. Our results suggest that the land-derived input will remarkably increase over time in a warming scenario. Further studies are therefore needed to understand the future response of the Kongsfjorden ecosystem alterations in respect to the enhanced release of glacier-derived material.
    Print ISSN: 1810-6277
    Electronic ISSN: 1810-6285
    Topics: Biology , Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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    PAPER CURRENT
  • 2
    facet.materialart.
    Unknown
    Water stable isotopes and associated salinity measurements in the Canadian Arctic Archipelago from 17 July – 04 August 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2023-12-31
    Description: The relationship between δ¹⁸O and salinity has been widely studied because it can provide crucial information on the partitioning of isotopes through the hydrological cycle. Current understanding of δ¹⁸O-S characteristics has been used to constrain water cycle models, isotope-enabled atmospheric and ocean models as well as to monitor evaporation (E) and precipitation (P) changes in major ocean basins. However, in the polar regions, where large spatial and temporal variabilities in δ¹⁸O and salinity are expected due to the highly seasonal sea ice melting/formation, river runoff, E-P intensification and rapidly changing summer ice minimum, uncertainties still surround the δ¹⁸O-Salinity relationship. To observe the inputs of freshwater in a poorly-understood, but vastly changing region in the Arctic, we collected matching δ¹⁸O-Salinity data from discrete samples from the surface (bucket sampling) and from profiles (Conductivity, Temperature, Depth (CTD) casts) in the Canadian Arctic Archipelago (CAA) during the Northwest Passage expedition aboard the RV Oden last 17 July – 04 August 2019. Matching δ¹⁸O-Salinity measurements were also obtained from ice core samples as well as from a precipitation event during the cruise. Here, we present more than 200 new and paired δ¹⁸O-Salinity measurements to help represent water mass end-members for freshwater budgeting as well as understanding the changes in the CAA's hydrologic cycle.
    Keywords: CTD profile; ice core isotopes; Northwest Passage Project; NPP; precipitation isotopes; Salinity; surface salinity; water stable isotopes
    Type: Dataset
    Format: application/zip, 4 datasets
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    DATA PANGAEA
  • 3
    facet.materialart.
    Unknown
    Precipitation stable isotopes (¹⁸O and D) and salinity in the Canadian Arctic Archipelago in the summer of 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2023-12-31
    Description: This data contains one (1) geolocated water stable isotope measurement from one (1) rain event on 29 July 2019. Shipboard rain samples were collected in a separatory funnel filled with a layer of mineral oil to prevent evaporation. Water samples were transferred to a 30-mL Nalgene bottles that were filled to the brim. Bottles were tightly closed, sealed with parafilm, and placed inside sampling bags. It was then transported to the Atmosphere, Climate, and Ecosystems lab at the University of Illinois at Chicago for processing. The δ¹⁸O and dD were measured using a Picarro l2130-I CRDS water isotope analyzer with a wire mesh inserted in the vaporizer inlet. Fifteen injections were made for each sample and necessary corrections to address 'memory effect' were employed. Measurements were normalized using the dD and δ¹⁸O values of internal water standards. Header includes event, latitude, longitude, sampling date, campaign, sampling method, location, isotope analyzer, ¹⁸O values (‰) and D values (‰).
    Keywords: CAA; Canadian Arctic Archipelago; Date/Time of event; Isotope analyzer L2130-i, Picarro Inc.; Latitude of event; Longitude of event; Northwest Passage Project; NPP; NPP19precip; Oden; Oden1907; precipitation isotopes; RAIN; Rain water collector; Salinity; water stable isotopes; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
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    DATA PANGAEA
  • 4
    facet.materialart.
    Unknown
    Surface water stable isotopes (¹⁸O and D) and salinity in the Canadian Arctic Archipelago in the summer of 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2023-12-31
    Description: This data contains 63 geolocated water stable isotopes and salinity measurements from the surface of the ocean along the RV Oden cruise track. Surface seawater sampling was conducted using bucket sampling. This was done by throwing a weighted bucket offboard to sample the surface of the ocean every six (6) hours. Chosen times were 5:00, 11:00, 17:00, and 23:00. Multiple readings of sea surface salinity were recorded using a YSI professional series digital probe per sampling Water samples were transferred to a 30-mL Nalgene bottles that were filled to the brim. Bottles were tightly closed, sealed with parafilm, and placed inside sampling bags. Two samples were collected per sampling point, and all measurements were geolocated. A total of 126 samples were collected from 19 July – 04 August 2019. All water samples were transported to the Atmosphere, Climate, and Ecosystems lab at the University of Illinois at Chicago for processing. The δ¹⁸O and dD were measured using a Picarro l2130-I CRDS water isotope analyzer with a wire mesh inserted in the vaporizer inlet to trap salt from the seawater. Fifteen injections were made for each sample and necessary corrections to address 'memory effect' were employed. Measurements were normalized using the dD and δ¹⁸O values of internal water standards. Data table header includes the event, latitude, longitude, sampling date, campaign, sampling method, location, isotope analyzer model, salinity sensor, ¹⁸O values (‰), D values (‰), and salinity values (psu).
    Keywords: BUCKET; Bucket water sampling; CAA; Canadian Arctic Archipelago; Date/Time of event; Event label; Isotope analyzer L2130-i, Picarro Inc.; Latitude of event; Longitude of event; Northwest Passage Project; NPP; NPP19surface_station_1; NPP19surface_station_10; NPP19surface_station_11; NPP19surface_station_12; NPP19surface_station_13; NPP19surface_station_14; NPP19surface_station_15; NPP19surface_station_16; NPP19surface_station_17; NPP19surface_station_18; NPP19surface_station_19; NPP19surface_station_2; NPP19surface_station_20; NPP19surface_station_21; NPP19surface_station_22; NPP19surface_station_23; NPP19surface_station_24; NPP19surface_station_25; NPP19surface_station_26; NPP19surface_station_27; NPP19surface_station_28; NPP19surface_station_29; NPP19surface_station_3; NPP19surface_station_30; NPP19surface_station_31; NPP19surface_station_32; NPP19surface_station_33; NPP19surface_station_34; NPP19surface_station_35; NPP19surface_station_36; NPP19surface_station_37; NPP19surface_station_38; NPP19surface_station_39; NPP19surface_station_4; NPP19surface_station_40; NPP19surface_station_41; NPP19surface_station_42; NPP19surface_station_43; NPP19surface_station_44; NPP19surface_station_45; NPP19surface_station_46; NPP19surface_station_47; NPP19surface_station_48; NPP19surface_station_49; NPP19surface_station_5; NPP19surface_station_50; NPP19surface_station_51; NPP19surface_station_52; NPP19surface_station_53; NPP19surface_station_54; NPP19surface_station_55; NPP19surface_station_56; NPP19surface_station_57; NPP19surface_station_58; NPP19surface_station_59; NPP19surface_station_6; NPP19surface_station_60; NPP19surface_station_61; NPP19surface_station_62; NPP19surface_station_63; NPP19surface_station_7; NPP19surface_station_8; NPP19surface_station_9; Oden; Oden1907; Salinity; surface salinity; water stable isotopes; YSI Professional Plus Multiparameter Instrument; YSI Pro Plus; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 189 data points
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    DATA PANGAEA
  • 5
    facet.materialart.
    Unknown
    Ice core water stable isotopes (¹⁸O and D) and salinity in the Canadian Arctic Archipelago in the summer of 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2023-12-31
    Description: This data contains ten (10) geolocated water stable isotopes and salinity measurements from three (3) sea ice cores collected during the cruise. Sea ice core sampling was conducted for three (3) ice coring stations. A sea ice core drill was used to collect the cores. Total length of each core was recorded as well as the temperature per 10 cm interval. The cores were then sectioned per 20 cm and the sections were thawed in different Marvin bottles. Once thawed, multiple water salinity measurements were taken using a YSI professional series digital probe. Water samples were transferred to a 30-mL Nalgene bottles that were filled to the brim. Bottles were tightly closed, sealed with parafilm, and placed inside sampling bags. A total of ten (10) samples were collected from the ice core collected. All water samples were transported to the Atmosphere, Climate, and Ecosystems lab at the University of Illinois at Chicago for processing. The δ¹⁸O and dD were measured using a Picarro l2130-I CRDS water isotope analyzer with a wire mesh inserted in the vaporizer inlet to trap salt from the seawater. Fifteen injections were made for each sample and necessary corrections to address 'memory effect' were employed. Measurements were normalized using the dD and δ¹⁸O values of internal water standards. Header includes following details: event, core segment (cm), latitude, longitude, sampling date, campaign, sampling method, location, isotope analyzer, salinity sensor, ¹⁸O values (‰), D values (‰), salinity values (psu).
    Keywords: CAA; Canadian Arctic Archipelago; Date/Time of event; Depth, bottom/max; DEPTH, ice/snow; Depth, top/min; Event label; ice core isotopes; Ice drilling corer (Kovacs); Isotope analyzer L2130-i, Picarro Inc.; Latitude of event; Longitude of event; Northwest Passage Project; NPP; NPP19icecore_station_2; NPP19icecore_station_4; NPP19icecore_station_5; Oden; Oden1907; Salinity; water stable isotopes; YSI Professional Plus Multiparameter Instrument; YSI Pro Plus; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 74 data points
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    DATA PANGAEA
  • 6
    facet.materialart.
    Unknown
    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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    DATA PANGAEA
  • 7
    facet.materialart.
    Unknown
    Water column stable isotopes (¹⁸O and D), salinity, and temperature in the Canadian Arctic Archipelago in the summer of 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2024-02-27
    Description: This data contains 125 geolocated water stable isotope, salinity, and temperature measurements from niskin bottle samples at varying depths from 52 Conductivity, Temperature, Depth (CTD) casts along the RV Oden cruise track. The CTD rosette water sampling was conducted following the CLIVAR/GO-SHIP protocol with a 'water cop' keeping track of the sampling order. Sampling for gases goes first, followed by nutrients, water stable isotopes, and then microbiological and DNA sampling during each cast. Samples for water stable isotopes analyses were collected by filling 30-mL Nalgene bottles to the brim. Bottles were closed tightly, sealed with parafilm, and stored in a labeled sample bag. Sampling depths chosen were based on the profile, location, and whether samples were collected for nutrients. Two samples were collected per depth. A total of 250 samples were collected from the 52 CTD casts from 19 July – 04 August 2019. The corresponding salinity and temperature measurements per sampling depth were collected from the CTD data. All water samples were transported to the Atmosphere, Climate, and Ecosystems lab at the University of Illinois at Chicago for processing. The δ¹⁸O and dD were measured using a Picarro l2130-I CRDS water isotope analyzer with a wire mesh inserted in the vaporizer inlet to trap salt from the seawater. Fifteen injections were made for each sample and necessary corrections to address 'memory effect' were employed. Measurements were normalized using the dD and δ¹⁸O values of internal water standards. Data table header includes the event, depth (m) latitude, longitude, sampling date, campaign, sampling method, location, isotope analyzer, salinity and temperature sensor, ¹⁸O values (‰), D values (‰), salinity values (psu), and temperature values (°C).
    Keywords: CAA; Canadian Arctic Archipelago; CTD; CTD, Sea-Bird SBE 911plus; CTD profile; Date/Time of event; DEPTH, water; Event label; Isotope analyzer L2130-i, Picarro Inc.; Latitude of event; Longitude of event; Northwest Passage Project; NPP; NPP19profile_station_1; NPP19profile_station_10; NPP19profile_station_11; NPP19profile_station_12; NPP19profile_station_13; NPP19profile_station_14; NPP19profile_station_15; NPP19profile_station_16; NPP19profile_station_18; NPP19profile_station_19; NPP19profile_station_2; NPP19profile_station_20; NPP19profile_station_21; NPP19profile_station_23; NPP19profile_station_24; NPP19profile_station_25; NPP19profile_station_26; NPP19profile_station_27; NPP19profile_station_28; NPP19profile_station_29; NPP19profile_station_30; NPP19profile_station_31; NPP19profile_station_32; NPP19profile_station_34; NPP19profile_station_35; NPP19profile_station_36; NPP19profile_station_39; NPP19profile_station_40; NPP19profile_station_41; NPP19profile_station_43; NPP19profile_station_45; NPP19profile_station_46; NPP19profile_station_5; NPP19profile_station_51; NPP19profile_station_52; NPP19profile_station_6; NPP19profile_station_7; NPP19profile_station_8; NPP19profile_station_9; Oden; Oden1907; Salinity; Temperature, water; water stable isotopes; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 500 data points
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    DATA PANGAEA
  • 8
    facet.materialart.
    Unknown
    Physical oceanography based on Ocean City CTD during POLARSTERN cruise PS122 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: This data set contains the hydrographic profile data collected with a CTD rosette in a shelter on the ice (Ocean City) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC). The CTD is an SBE911plus with 12 bottles, 5 liters each, operated with a small winch and crane in the shelter on the ice. The data set contains calibrated and quality-controlled parameters (temperature, conductivity, oxygen and their derived variables) as well as only pre-cruise calibrated parameters where no post-cruise calibration or quality control was applied (all other). CDOM fluorescence data are the exception. Quality control was performed but data have to be handled with care, as the sensor seems to have broken down during leg 3 such that no post-cruise calibration could be applied. The data are provided as text file (all cruise legs in one file) as well as in netCDF format (one file per cruise leg). The accuracy for salinity and conductivity is 0.004 while the accuracy for temperature is 0.002. Additional information on the sensor used for the final data set, the water depth as well as the availability of profile or bottle data is given in a separate info-text-file. Contact: Sandra.Tippenhauer@awi.de Quality flags are given based on paragraph 6. "Quality flags" from https://www.seadatanet.org/content/download/596/file/SeaDataNet_QC_procedures_V2_%28May_2010%29.pdf. QC flag meanings: 0 = unknown, 1 = good_data, 2 = probably good_data, 3 = probably bad data, 4 = bad data set to nan. This work was carried out and data was produced as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020. We thank all persons involved in the expedition of the Research Vessel Polarstern during MOSAiC in 2019-2020 (AWI_PS122_00) as listed in Nixdorf et al. (2021).
    Keywords: Advective Pathways of nutrients and key Ecological substances in the ARctic; APEAR; Arctic Ocean; Attenuation, optical beam transmission; AWI_PhyOce; Chlorophyll a; Conductivity; CTD; CTD, Seabird; CTD, Sea-Bird, SBE 911plus; CTD, Sea-Bird, SBE 911plus, measured with Temperature sensor, Sea-Bird, SBE3plus; CTD, Sea-Bird, SBE 911plus; Calculation according to Bittig et al. (2018); CTD, Sea-Bird, SBE 911plus; Calculation according to McDougall and Barker (2011); CTD, Sea-Bird, SBE 911plus; measured with Conductivity sensor, Sea-Bird, SBE 4; CTD, Sea-Bird, SBE 911plus; measured with Dissolved oxygen sensor, Sea-Bird, SBE 43; CTD, Sea-Bird, SBE 911plus; measured with Fluorometer, Turner Designs, Cyclops-6k 2160-000-R; CTD, Sea-Bird, SBE 911plus; measured with Fluorometer, WET Labs, ECO FLRTD; CTD, Sea-Bird, SBE 911plus; measured with PAR sensor, Biospherical Instruments Inc., QCP2300-HP; CTD, Sea-Bird, SBE 911plus; measured with SPAR Sensor, Biospherical Instruments Inc., QCR2200; CTD, Sea-Bird, SBE 911plus; measured with Transmissometer, WET Labs, C-Star; CTD/Rosette; CTD-R; CTD-RO; DATE/TIME; Density, potential anomaly; DEPTH, water; Event label; Fluorescence, colored dissolved organic matter; HAVOC; LATITUDE; LONGITUDE; MOSAiC; MOSAIC_PO; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; Oxygen, dissolved; Oxygen saturation; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS122/1; PS122/1_10-129; PS122/1_10-14; PS122/1_10-26; PS122/1_10-33; PS122/1_10-45; PS122/1_11-17; PS122/1_11-24; PS122/1_11-40; PS122/1_4-37; PS122/1_5-40; PS122/1_5-46; PS122/1_5-59; PS122/1_5-8; PS122/1_6-122; PS122/1_6-17; PS122/1_6-18; PS122/1_6-38; PS122/1_7-15; PS122/1_7-40; PS122/1_7-41; PS122/1_7-96; PS122/1_8-16; PS122/1_8-18; PS122/1_9-113; PS122/1_9-28; PS122/1_9-36; PS122/1_9-37; PS122/1_9-46; PS122/1_9-47; PS122/1_9-48; PS122/1_99-78; PS122/1_99-79; PS122/1_99-81; PS122/1_99-82; PS122/2; PS122/2_16-54; PS122/2_16-64; PS122/2_16-94; PS122/2_17-18; PS122/2_17-78; PS122/2_17-8; PS122/2_18-16; PS122/2_18-25; PS122/2_18-81; PS122/2_18-91; PS122/2_19-123; PS122/2_19-18; PS122/2_19-4; PS122/2_19-42; PS122/2_19-89; PS122/2_20-109; PS122/2_20-17; PS122/2_20-2; PS122/2_20-33; PS122/2_21-1; PS122/2_21-101; PS122/2_21-114; PS122/2_21-128; PS122/2_21-26; PS122/2_22-18; PS122/2_22-3; PS122/2_22-49; PS122/2_22-71; PS122/2_23-17; PS122/2_23-4; PS122/2_23-70; PS122/2_24-47; PS122/2_25-26; PS122/2_25-4; PS122/2_99-83; PS122/2_99-84; PS122/2_99-85; PS122/3; PS122/3_29-74; PS122/3_29-8; PS122/3_30-38; PS122/3_30-9; PS122/3_31-18; PS122/3_31-81; PS122/3_32-12; PS122/3_32-75; PS122/3_32-77; PS122/3_33-69; PS122/3_33-71; PS122/3_33-80; PS122/3_33-82; PS122/3_34-17; PS122/3_34-38; PS122/3_34-65; PS122/3_34-67; PS122/3_34-76; PS122/3_34-77; PS122/3_35-25; PS122/3_35-60; PS122/3_35-62; PS122/3_35-63; PS122/3_35-77; PS122/3_35-92; PS122/3_36-115; PS122/3_36-17; PS122/3_36-19; PS122/3_36-59; PS122/3_36-81; PS122/3_36-83; PS122/3_36-85; PS122/3_37-116; PS122/3_37-14; PS122/3_37-15; PS122/3_37-45; PS122/3_37-46; PS122/3_37-88; PS122/3_38-100; PS122/3_38-31; PS122/3_38-5; PS122/3_38-54; PS122/3_38-55; PS122/3_38-69; PS122/3_39-16; PS122/3_39-51; PS122/3_39-52; PS122/3_39-54; PS122/3_39-69; PS122/3_39-70; PS122/3_39-82; PS122/3_99-87; Quality flag, attenuation; Quality flag, chlorophyll; Quality flag, conductivity; Quality flag, conservative water temperature; Quality flag, density; Quality flag, fluorescence, colored dissolved organic matter; Quality flag, irradiance; Quality flag, oxygen; Quality flag, rhodamine; Quality flag, salinity; Quality flag, surface irradiance; Quality flag, water temperature; Radiation, photosynthetically active; Radiation, photosynthetically active, surface; Rhodamine; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; Salinity; Salinity, absolute; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); Temperature, water; Temperature, water, conservative; Temperature, water, potential; WAOW; Why is the deep Arctic Ocean Warming?
    Type: Dataset
    Format: text/tab-separated-values, 1345775 data points
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    DATA PANGAEA
  • 9
    facet.materialart.
    Unknown
    CO2 flux measurements by chambers on sea ice during expedition PS122 (MOSAiC Legs 1−5) to the central Arctic in October 2019−September 2020 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-25
    Description: The CO2 fluxes were measured over the surfaces of snow, ice, water with LI-COR 8100-104 chambers connected to a LI-8100A soil CO2 flux system (LI-COR Inc., USA) during expedition PS122 (MOSAiC Legs 1−5) to the central Arctic in October 2019−September 2020. A chamber was connected via a closed loop to an infrared gas analyzer (LI-8100A, LI-COR Inc., USA) to measure CO2 concentrations with an air pump at a rate of 3 L min−1 during 20-minute intervals. Power was supplied by a battery (8012−254, Optima Batteries Inc., USA). We also used a Teflon-coated metal chamber (0.50 m in diameter and 0.30 m high with a serrated bottom edge) (Nomura et al., 2010, 2012). Every 5 or 10 minutes during an experiment, about 500 mL of air was collected from the chamber using a 50-mL glass syringe with a three-way valve and then transferred to a 3000-mL Tedlar bag (AAK 3L, GL Sciences Inc., Japan). After collection, air samples were quickly transported in a dark container to a laboratory onboard the R/V Polarstern, which was moored near our sampling site. The CO2 concentrations were measured with a CO2 analyzer (Picarro 2132-i, Los Gatos Research Inc., USA) used for continuous measurements of atmospheric CO2/CH4 concentrations on board. The CO2 fluxes (in mmol C m−2 day−1) (a negative value indicates CO2 being absorbed from the atmosphere) were calculated with LI-COR software (model: LI8100PC Client v.3.0.1.) based on the changes of the CO2 concentrations within the headspace of the LI-COR 8100−104 chambers. For the metal chamber, we took into account the changes of CO2 concentrations and the volume of the chamber (Nomura et al., 2010, 2012) to calculate the CO2 fluxes. The detection limit of this system was about +0.1 mmol C m−2 day−1 (Nomura et al., 2010; 2018). An inter-comparison experiment between the metal chamber and the LI-COR 8100−104 chamber in the home laboratory indicated good agreement (Nomura et al., 2022). Data obtained with both methods were therefore comparable. When the surface of the melt ponds/leads was frozen, flux measurements were made over the frozen surface. Then, a 1 m x 1 m hole was cut with a hand saw, and chambers were installed over the water surface with buoyant material (Nomura et al., 2020; 2022). In addition, chambers were installed over snow/slush/frost flower surface, and ice surface after removing snow by shovel. We conducted water mixing experiments at St. 4 (melt pond) on September 2, 2020 and at the ROV lead site on September 5, 2020 to understand how the carbonate chemistry and CO2 fluxes responded to changes in the marine environment caused by agitation in the melt pond and lead by wind and movement of sea ice. We measured the fluxes between the atmosphere and the surfaces of the melt ponds and leads using a floating metal chamber. After the measurements, the water in the melt ponds or leads was mixed for 30 minutes by two persons using a shovel and an oar. After mixing, the pre-mixing measurements were repeated.
    Keywords: Air-sea ice CO2/CH4 flux chamber system; Arctic Ocean; Carbon dioxide, flux; Cavity Ring-Down Spectrometer (CRDS), PICARRO, G2132-i; Chamber for gas sampling; CHAMGAS; CO2_CH4-FC; CO2 flux; Condition; DATE/TIME; Event label; gas exchange; IC; Ice corer; LATITUDE; LONGITUDE; Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_10-46; PS122/1_10-47; PS122/1_5-71; PS122/1_7-50; PS122/1_8-67; PS122/2; PS122/2_19-158; PS122/2_23-106; PS122/3; PS122/3_31-15; PS122/3_32-101; PS122/3_32-103; PS122/3_35-142; PS122/3_35-144; PS122/3_36-180; PS122/3_36-181; PS122/3_38-146; PS122/3_39-112; PS122/4; PS122/4_46-155; PS122/4_47-120; PS122/5; PS122/5_60-146; PS122/5_60-17; PS122/5_60-260; PS122/5_60-61; PS122/5_61-131; PS122/5_61-6; PS122/5_63-324; Sea ice; seasonal variability; Site; Snow depth; Snow sampler glove; SSG; Type of chamber
    Type: Dataset
    Format: text/tab-separated-values, 2394 data points
    Location Call Number Expected Availability
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  • 10
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    Unknown
    Physical oceanography water bottle samples based on ship CTD during POLARSTERN cruise PS122 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-13
    Description: This data set contains the hydrographic water sample data collected with the ship based CTD rosette during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC). The CTD is an SBE911plus with 24 bottles, 12 liters each, operated with a winch and crane on the side of Polarstern. The data set contains calibrated and quality-controlled parameters (temperature, conductivity, oxygen and their derived variables) as well as only pre-cruise calibrated parameters where no post-cruise calibration or quality control was applied (all other). CDOM fluorescence data are the exception. Quality control was performed but data have to be handled with care, as the sensor seems to have broken down during leg 3 such that no post-cruise calibration could be applied. Due to issues during processing SPAR data is missing in the bottle data. The data are provided as text file (all cruise legs in one file) as well as in netCDF format (one file per cruise leg). The accuracy for salinity and conductivity is 0.004 while the accuracy for temperature is 0.002. Additional information on the sensor used for the final data set, the water depth as well as the availability of profile or bottle data is given in a separate info-text-file. Contact: Sandra.Tippenhauer@awi.de. Quality flags are given based on paragraph 6. "Quality flags" from https://www.seadatanet.org/content/download/596/file/SeaDataNet_QC_procedures_V2_%28May_2010%29.pdf. QC flag meanings: 0 = unknown, 1 = good_data, 2 = probably good_data, 3 = probably bad data, 4 = bad data set to nan. This work was carried out and data was produced as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020. We thank all persons involved in the expedition of the Research Vessel Polarstern during MOSAiC in 2019-2020 (AWI_PS122_00) as listed in Nixdorf et al. (2021).
    Keywords: Advective Pathways of nutrients and key Ecological substances in the ARctic; APEAR; Arctic Ocean; Attenuation, optical beam transmission; AWI_PhyOce; Bottle number; Chlorophyll a; Conductivity; CTD; CTD, Sea-Bird, SBE 911plus; CTD, Sea-Bird, SBE 911plus, measured with Temperature sensor, Sea-Bird, SBE3plus; CTD, Sea-Bird, SBE 911plus; Calculation according to Bittig et al. (2018); CTD, Sea-Bird, SBE 911plus; Calculation according to McDougall and Barker (2011); CTD, Sea-Bird, SBE 911plus; measured with Conductivity sensor, Sea-Bird, SBE 4; CTD, Sea-Bird, SBE 911plus; measured with Dissolved oxygen sensor, Sea-Bird, SBE 43; CTD, Sea-Bird, SBE 911plus; measured with Fluorometer, Turner Designs, Cyclops-6k 2160-000-R; CTD, Sea-Bird, SBE 911plus; measured with Fluorometer, WET Labs, ECO FLRTD; CTD, Sea-Bird, SBE 911plus; measured with PAR sensor, Biospherical Instruments Inc., QCP2300-HP; CTD, Sea-Bird, SBE 911plus; measured with Transmissometer, WET Labs, C-Star; CTD/Rosette; CTD-RO; DATE/TIME; Density, potential anomaly; DEPTH, water; Event label; Fluorescence, colored dissolved organic matter; HAVOC; LATITUDE; LONGITUDE; MOSAiC; MOSAIC_PO; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; Oxygen, dissolved; Oxygen saturation; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS122/1; PS122/1_10-41; PS122/1_10-44; PS122/1_10-60; PS122/1_10-64; PS122/1_2-68; PS122/1_6-58; PS122/1_6-79; PS122/1_6-81; PS122/1_7-47; PS122/1_7-49; PS122/1_7-80; PS122/1_8-43; PS122/1_8-46; PS122/1_8-71; PS122/1_8-98; PS122/1_9-50; PS122/1_9-61; PS122/1_9-67; PS122/1_9-87; PS122/2; PS122/2_16-21; PS122/2_16-34; PS122/2_17-39; PS122/2_17-41; PS122/2_17-64; PS122/2_17-68; PS122/2_18-32; PS122/2_18-34; PS122/2_18-57; PS122/2_18-74; PS122/2_19-55; PS122/2_19-56; PS122/2_19-76; PS122/2_19-77; PS122/2_20-45; PS122/2_20-46; PS122/2_20-71; PS122/2_20-73; PS122/2_21-64; PS122/2_21-65; PS122/2_22-42; PS122/2_22-47; PS122/2_22-63; PS122/2_23-46; PS122/2_23-63; PS122/2_24-2; PS122/2_24-4; PS122/2_25-52; PS122/2_25-54; PS122/2_25-71; PS122/2_25-73; PS122/3; PS122/3_30-53; PS122/3_30-64; PS122/3_31-39; PS122/3_31-59; PS122/3_31-63; PS122/3_40-36; PS122/3_42-32; PS122/4; PS122/4_44-184; PS122/4_44-187; PS122/4_44-202; PS122/4_44-67; PS122/4_44-76; PS122/4_45-100; PS122/4_45-121; PS122/4_45-3; PS122/4_45-31; PS122/4_45-48; PS122/4_45-53; PS122/4_45-75; PS122/4_45-79; PS122/4_45-82; PS122/4_45-85; PS122/4_45-9; PS122/4_45-96; PS122/4_46-15; PS122/4_46-2; PS122/4_46-35; PS122/4_46-56; PS122/4_46-60; PS122/4_46-83; PS122/4_46-87; PS122/4_46-91; PS122/4_47-108; PS122/4_47-52; PS122/4_47-60; PS122/4_48-121; PS122/4_48-15; PS122/4_48-155; PS122/4_48-29; PS122/4_48-60; PS122/4_48-62; PS122/4_48-96; PS122/4_49-10; PS122/4_49-14; PS122/4_49-2; PS122/4_49-25; PS122/4_49-36; PS122/4_49-5; PS122/4_50-21; PS122/4_50-52; PS122/5; PS122/5_59-138; PS122/5_59-149; PS122/5_59-272; PS122/5_59-274; PS122/5_59-305; PS122/5_59-306; PS122/5_59-357; PS122/5_59-363; PS122/5_59-62; PS122/5_59-72; PS122/5_60-67; PS122/5_60-69; PS122/5_60-89; PS122/5_61-128; PS122/5_61-159; PS122/5_61-161; PS122/5_61-189; PS122/5_61-211; PS122/5_62-38; PS122/5_62-4; PS122/5_62-66; PS122/5_62-88; PS122/5_62-91; PS122/5_63-100; PS122/5_63-110; PS122/5_63-111; PS122/5_63-35; PS122/5_63-53; Quality flag, attenuation; Quality flag, chlorophyll; Quality flag, conductivity; Quality flag, conservative water temperature; Quality flag, density; Quality flag, fluorescence, colored dissolved organic matter; Quality flag, irradiance; Quality flag, oxygen; Quality flag, rhodamine; Quality flag, salinity; Quality flag, water temperature; Radiation, photosynthetically active; Rhodamine; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; Salinity; Salinity, absolute; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); Temperature, water; Temperature, water, conservative; Temperature, water, potential; WAOW; Why is the deep Arctic Ocean Warming?
    Type: Dataset
    Format: text/tab-separated-values, 86269 data points
    Location Call Number Expected Availability
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