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  • PANGAEA  (33)
  • Alfred Wegener Institute for Polar and Marine Research
  • 2020-2024  (33)
Document type
Keywords
Publisher
Years
Year
  • 1
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    Unknown
    PANGAEA
    In:  Supplement to: Overduin, Pier Paul; Schneider von Deimling, Thomas; Miesner, Frederieke; Grigoriev, Mikhail N; Ruppel, Carolyn D; Vasiliev, Alexander A; Lantuit, Hugues; Juhls, Bennet; Westermann, Sebastian (2019): Submarine Permafrost Map in the Arctic Modeled Using 1‐D Transient Heat Flux (SuPerMAP). Journal of Geophysical Research: Oceans, 124(6), 3490-3507, https://doi.org/10.1029/2018JC014675
    Publication Date: 2023-07-19
    Description: This data set contains a first‐order estimate of distribution, thickness and ice-content of submarine permafrost on the Arctic shelf based on a numerical heat transfer model. Our model uses dynamic upper boundary conditions that synthesize Earth System Model air temperature, ice mass distribution and thickness, and global sea level reconstruction and applies globally distributed geothermal heat flux as a lower boundary condition. Sea level reconstruction accounts for differences between marine and terrestrial sedimentation history. Sediment composition and pore water salinity are integrated in the model. Model runs for 450 ka for cross‐shelf transects were used to initialize the model for circumarctic modeling for the past 50 ka.This data set consists of current sea levels, and permafrost depth [m below sea floor(m bsf)], total ice-content [m³ / m²] and enthalpy [MJ / m²] at times 50ka, 25ka and 0a before industrialization for 15892 locations on the Arctic shelf. Additionally zonations for permafrost depth and ice-content are given as layer files. Based on the undertaken sensitivity studies zones with 〈100m permafrost are uncertain, zones with 100-300m are probable, and zones with 〉300m are confident.
    Keywords: Arctic; AWI_PerDyn; Cryosphere; Enthalpy; File format; File name; File size; MULT; Multiple investigations; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; Permafrost; Permafrost Depth; Permafrost Research (Periglacial Dynamics) @ AWI; sea level; Submarine Permafrost; Total Ice Content; trans-Arctic; Uniform resource locator/link to file; Water Depth
    Type: Dataset
    Format: text/tab-separated-values, 16 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2023-11-14
    Description: Current warming, shifting hydrological regimes and accelerated permafrost thaw in the catchment of the Arctic rivers will affect their water biogeochemistry and the ice that covers the river for more than half of the year. The Lena River is the second largest Arctic river and 71 % of its catchment is characterized by continuous permafrost. Large amounts of ice melt water is exported in spring to the Laptev Sea shelf water where it modifies the biogeochemistry of the shelf water. This dataset presents electrical Conductivity, DOC, CDOM, stable water isotopes and major ions in the ice core LD18-BH-8 samples near the Samoylov Island Research Station.
    Keywords: Absorption coefficient, colored dissolved organic matter at given wavelength; Aluminium; AWI_Envi; AWI Arctic Land Expedition; Barium 2+; biogeochemistry; Bromide; Calcium; Calculated; Carbon, organic, dissolved; CDOM; Chloride; Conductivity, electrical; DEPTH, ice/snow; Deuterium excess; DOC; DOM; Fluoride; IC; Ice corer; Inductively coupled plasma optical emission spectrometry (ICP-OES), Perkin-Elmer, Optima 8300DV; Ion chromatography (Thermo-Fischer ICS 2100); Iron; LD18-BH-8; LE08; Lena 2018; Magnesium; major ions; Manganese; Mass spectrometer Finnigan Delta-S/equilibration device; Nitrate; Phosphate; Phosphorus; Polar Terrestrial Environmental Systems @ AWI; Potassium; RU-Land_2018_Lena; Shimadzu TOC-VCPH total organic carbon analyzer; Silicon; Sodium; Spectrophotometer UV/VIS (PerkinElmer Lambda 950); stable water isotopes; Strontium 2+; Sulfate; WTW MultiLab 540; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 21131 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2024-04-12
    Description: Concentrations of dissolved methane were determined in the Lena River, a permafrost lake and in Tiksi Bay, from 2016-2018, in summer and under ice. In addition in winter 2017, also the concentration in the ice cores was determined (Magen et al. 2014). For the winter 2017 samples, also the methane oxidation rate was determined with a radiotracer method (Bussmann et al. 2015).
    Keywords: AWI_PerDyn; dissolved methane; ice cores; methane oxidation rate; Permafrost Research (Periglacial Dynamics) @ AWI; PETA-CARB; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2024-04-20
    Description: The data set includes the light absorption coefficient of colored dissolved organic matter (CDOM) from 200 nm to 700 nm wavelength together with physical oceanographic observations (temperature and salinity) from the Laptev Sea. Sampling was carried out September 2010. During the ship-based expedition, we operated a CTD profiler (conductivity temperature-depth; Seabird 19+) to sample the basic hydrographic parameters. The CTD is operated on a carousel water sampler (SBE 32SC) allowing automated water sampling at pre-selected depths. The data set is part of a multi-year study (different seasons over a period of 9 years: 2010-2019) of the dissolved organic matter (CDOM), which includes observations in marine waters from the coastal zone to the shelf edge of the Laptev Sea and East Siberian Sea, the river Lena and ice and water samples from the land-fast in the south-eastern Laptev Sea.
    Keywords: Absorption coefficient, colored dissolved organic matter at given wavelength; Area/locality; CATS; CATS - The Changing Arctic Transpolar System; CTD, Sea-Bird, SBE 19plus; CTD/Rosette; CTD-RO; DATE/TIME; Depth, bathymetric; DEPTH, water; Dissolved Organic Matter; Event label; Landfast ice; Laptev Sea; Laptev Sea System; LATITUDE; LONGITUDE; LSS; NE10_10-1; NE10_1-1; NE10_13-1; NE10_14; NE10_15-1; NE10_16-1; NE10_17-1; NE10_19-1; NE10_20-1; NE10_2-1; NE10_21-1; NE10_22-1; NE10_23-3; NE10_24-1; NE10_27; NE10_28-1; NE10_29-1; NE10_30-1; NE10_3-1; NE10_32-1; NE10_33-1; NE10_34-4; NE10_35-1; NE10_36-1; NE10_37-1; NE10_38-1; NE10_39-1; NE10_40-1; NE10_4-1; NE10_41-4; NE10_42-1; NE10_43; NE10_45; NE10_5-1; NE10_6-2; NE10_8-1; NE10_9-1; Nikolay Evgenov; River Lena; Salinity; Siberian Shelf Seas; Spectrophotometer, dual beam (Specord200, Jena Analytik); Station label; TD10; Temperature, water; Transdrift-XVII
    Type: Dataset
    Format: text/tab-separated-values, 129866 data points
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2024-04-20
    Description: We present a comprehensive inventory of retrogressive thaw slumps (RTS) for six study sites in the Russian High Arctic covering an area of more than 600 km². The sites are located on the Novaya Zemlya Archipelago, Kolguev Island, Bol'shoy Lyakhovsky Island, and Taymyr Peninsula in ice-rich permafrost characterized by either buried glacial ice or syngenetically formed Yedoma permafrost deposits. This data publication contains geospatial polygon vector files of the individual mapped slumps across multiple time slices. The mapping was performed on multispectral imagery of very high-resolution satellite sensors, including PlanetScope (3m ground resolution), RapidEye (5m), Pléiades (0.5m), and SPOT (1.5m). Cloud free images were acquired between 2011 and 2020 and exist for annual or close-to-annual time steps depending on their availability. Additional data sets such as the ArcticDEM, the Esri Satellite base map, and Tasseled Cap Landsat Trends were used to support the mapping process. The identification and digitization of thaw slumps as polygons (in UTM coordinate reference system) was performed in QGIS 10.3. A total number of 3466 individual RTS were mapped between 2011 or 2013 and 2020. In addition, for the coastal slumps, change distances from headwalls and bluff bases were calculated in ArcMap 10.5 using the Digital Shoreline Analysis System (DSAS) tool version 5 over the study period (2011/2013-2020). Very high-resolution imagery for this study was kindly provided by ESA through Third Party Mission proposal TPM4-ID-54054. We recieved access to the RapidEye imagery via the RapidEye Science Archive (RESA) initiative in the scope of our project 'Thaw Dynamics of Retrogressive Thaw Slumps from High Resolution Images in Siberia (RTStrendr )'. The PlanetScope imagery was recieved in the scope of our project ' Artificial Intelligence for Cold Regions (AI-CORE)'.
    Keywords: AWI_Perma; Climate change; DATE/TIME; Eastern Taymyr Peninsula; Event label; Geospatial vector, shapefiles; Geospatial vector, shapefiles (File Size); High Arctic; ice-rich Permafrost; landslide; LATITUDE; Location; LONGITUDE; mapping; Novaya Zemlya Archipelago; Permafrost; Permafrost coasts; Permafrost Research; permafrost thaw; Retrogressive Thaw Slumps; RTS_BL; RTS_ET; RTS_NK; RTS_NZ; RTS_SK; RTS_WT; Russia; Russian Arctic; Satellite imagery; SATI; Siberia; South Coast of Bol’shoy Lyakhovsky Island; thermokarst; West Coast of Kolguev Island; Western Taymyr Peninsula
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
    Location Call Number Limitation Availability
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  • 6
    Publication Date: 2024-04-27
    Description: This dataset contains hydrographical, biogeochemical and bioptical data from four field campaigns to the Mackenzie Delta region from spring to fall in 2019. Focus of the sampling was put on surface waters to compare with satellite imagery and capture the signal of the Mackenzie River water throughout the coastal waters of the Beaufort Sea. The water samples for the biogeochemical data were taken using pumps or niskin bottles. The repeated sampling focused on the two main outflow regions of the Mackenzie River: Shallow Bay and Mackenzie Bay in the west and Kugmallit Bay in the east as well as on the river channels across the delta. Most sampling locations were revisited four times. Sampling during different seasons was extremely challenging in this region due to uncertain ice cover and broken ice fields during and after ice break-up. Additionally, very shallow water (〈5 m) mandates the use of small draught boats, which was challenging under frequently harsh weather conditions. To tackle these challenges, various sampling platforms were used such as small boats, trucks, ski-doos and hovering helicopter. The campaigns were carried out under the umbrella of the EU Horizon 2020 project Nunataryuk.
    Keywords: biogeochemistry; Biooptics; Coastal waters; hydrographic data; Mackenzie; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation
    Type: Dataset
    Format: application/zip, 13 datasets
    Location Call Number Limitation Availability
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  • 7
    Publication Date: 2024-04-27
    Description: During Leg 1, the CTD (CTD RBR Maestro) was manually lowered in the water through an ice hole. During legs 2 to 4, the CTD (CTD RBR Concerto) was installed on a Seabird Scientific optical package frame. Poor quality profiles, that had been affected by ice-covered sensors, were removed. Atmospheric pressure observed at weather stations near the sampling locations (Aklavik, Inuvik, Shingle Point and Tuktoyaktuk) was used to tare the CTD pressure sensors. The salinity was re-measured on discrete water samples (Sal Lab) using Mettler Toledo Conductivity/Salinity/pH meter.
    Keywords: 1_STN01; 1_STN020; 1_STN040; 1_STN0a; 1_STN0b; 1_STN140alt; 1_STN150alt; 1_STN340alt; 1_STN350; 1_STN360; 1_STN370alt; 1_STN380alt; 1_STN540alt; 1_STN550; 1_STN740; 1_STN810; 1_STN830; 1_STN840; 1_STN850; 1_STN860; 1_STN870; 2_STN030; 2_STN040; 2_STN1030; 2_STN1040; 2_STN1050; 2_STN1060; 2_STN110; 2_STN120; 2_STN140alt; 2_STN150alt; 2_STN310; 2_STN320; 2_STN330; 2_STN340alt; 2_STN350; 2_STN360; 2_STN370; 2_STN380alt_2; 2_STN420; 2_STN430; 2_STN450; 2_STN530; 2_STN540alt; 2_STN550; 2_STN565; 2_STN620; 2_STN630; 2_STN740; 2_STN800; 2_STN810; 2_STN820; 2_STN830; 2_STN840; 2_STN850; 2_STN860; 2_STN870; 2_STN999; 2_STNxxx; 2_XX2; 2_XX3; 3_STN010; 3_STN020; 3_STN030; 3_STN040; 3_STN1030; 3_STN1040; 3_STN1050; 3_STN1060; 3_STN125; 3_STN130; 3_STN130_5m; 3_STN135; 3_STN140alt; 3_STN150alt; 3_STN330; 3_STN340alt; 3_STN350; 3_STN360; 3_STN370alt; 3_STN380; 3_STN740; 3_STN800; 3_STN810; 3_STN820; 3_STN830; 3_STN840; 3_STN850; 3_STN860; 3_STN870; 3_STNR01; 3_STNR02; 3_STNR02_5m; 3_STNR03; 3_STNR04; 3_STNR05; 3_STNR06; 3_STNR07; 3_STNR08; 3_STNR09; 3_STNR09_20m; 3_STNR10; 3_STNR11; 3_STNR12; 3_STNR13; 3_STNxxx; 4_STN010; 4_STN020; 4_STN030; 4_STN040; 4_STN1030; 4_STN1040; 4_STN1050; 4_STN120; 4_STN125; 4_STN130; 4_STN135; 4_STN140alt; 4_STN140alt_2; 4_STN150alt; 4_STN330; 4_STN340alt; 4_STN350; 4_STN360; 4_STN370; 4_STN380alt; 4_STN740; 4_STN800; 4_STN810; 4_STN820; 4_STN830; 4_STN840; 4_STN840_2; 4_STN850; 4_STN860; 4_STN870; 4_STNR01; 4_STNR03; 4_STNR04; 4_STNR05; 4_STNR08; 4_STNR09; 4_STNR12; 4_STNXX4; 4_STNXX4_2; biogeochemistry; Biooptics; Coastal waters; Cruise/expedition; CTD; DATE/TIME; DEPTH, water; Event label; hydrographic data; Laboratory measurement; LATITUDE; LONGITUDE; Mackenzie; Mackenzie Delta, Canada; MULT; Multiple investigations; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; NunaWP4Mackenzie19_1_STN01; NunaWP4Mackenzie19_1_STN020; NunaWP4Mackenzie19_1_STN040; NunaWP4Mackenzie19_1_STN0a; NunaWP4Mackenzie19_1_STN0b; NunaWP4Mackenzie19_1_STN140alt; NunaWP4Mackenzie19_1_STN150alt; NunaWP4Mackenzie19_1_STN340alt; NunaWP4Mackenzie19_1_STN350; NunaWP4Mackenzie19_1_STN360; NunaWP4Mackenzie19_1_STN370alt; NunaWP4Mackenzie19_1_STN380alt; NunaWP4Mackenzie19_1_STN540alt; NunaWP4Mackenzie19_1_STN550; NunaWP4Mackenzie19_1_STN740; NunaWP4Mackenzie19_1_STN810; NunaWP4Mackenzie19_1_STN830; NunaWP4Mackenzie19_1_STN840; NunaWP4Mackenzie19_1_STN850; NunaWP4Mackenzie19_1_STN860; NunaWP4Mackenzie19_1_STN870; NunaWP4Mackenzie19_2_STN030; NunaWP4Mackenzie19_2_STN040; NunaWP4Mackenzie19_2_STN1030; NunaWP4Mackenzie19_2_STN1040; NunaWP4Mackenzie19_2_STN1050; NunaWP4Mackenzie19_2_STN1060; NunaWP4Mackenzie19_2_STN110; NunaWP4Mackenzie19_2_STN120; NunaWP4Mackenzie19_2_STN140alt; NunaWP4Mackenzie19_2_STN150alt; NunaWP4Mackenzie19_2_STN310; NunaWP4Mackenzie19_2_STN320; NunaWP4Mackenzie19_2_STN330; NunaWP4Mackenzie19_2_STN340alt; NunaWP4Mackenzie19_2_STN350; NunaWP4Mackenzie19_2_STN360; NunaWP4Mackenzie19_2_STN370; NunaWP4Mackenzie19_2_STN380alt_2; NunaWP4Mackenzie19_2_STN420; NunaWP4Mackenzie19_2_STN430; NunaWP4Mackenzie19_2_STN450; NunaWP4Mackenzie19_2_STN530; NunaWP4Mackenzie19_2_STN540alt; NunaWP4Mackenzie19_2_STN550; NunaWP4Mackenzie19_2_STN565; NunaWP4Mackenzie19_2_STN620; NunaWP4Mackenzie19_2_STN630; NunaWP4Mackenzie19_2_STN740; NunaWP4Mackenzie19_2_STN800; NunaWP4Mackenzie19_2_STN810; NunaWP4Mackenzie19_2_STN820; NunaWP4Mackenzie19_2_STN830; NunaWP4Mackenzie19_2_STN840; NunaWP4Mackenzie19_2_STN850; NunaWP4Mackenzie19_2_STN860; NunaWP4Mackenzie19_2_STN870; NunaWP4Mackenzie19_2_STN999; NunaWP4Mackenzie19_2_STNxxx; NunaWP4Mackenzie19_2_XX2; NunaWP4Mackenzie19_2_XX3; NunaWP4Mackenzie19_3_STN010; NunaWP4Mackenzie19_3_STN020; NunaWP4Mackenzie19_3_STN030; NunaWP4Mackenzie19_3_STN040; NunaWP4Mackenzie19_3_STN1030; NunaWP4Mackenzie19_3_STN1040; NunaWP4Mackenzie19_3_STN1050; NunaWP4Mackenzie19_3_STN1060; NunaWP4Mackenzie19_3_STN125; NunaWP4Mackenzie19_3_STN130; NunaWP4Mackenzie19_3_STN130_5m; NunaWP4Mackenzie19_3_STN135; NunaWP4Mackenzie19_3_STN140alt; NunaWP4Mackenzie19_3_STN150alt; NunaWP4Mackenzie19_3_STN330; NunaWP4Mackenzie19_3_STN340alt; NunaWP4Mackenzie19_3_STN350; NunaWP4Mackenzie19_3_STN360; NunaWP4Mackenzie19_3_STN370alt; NunaWP4Mackenzie19_3_STN380; NunaWP4Mackenzie19_3_STN740; NunaWP4Mackenzie19_3_STN800; NunaWP4Mackenzie19_3_STN810; NunaWP4Mackenzie19_3_STN820; NunaWP4Mackenzie19_3_STN830; NunaWP4Mackenzie19_3_STN840; NunaWP4Mackenzie19_3_STN850; NunaWP4Mackenzie19_3_STN860; NunaWP4Mackenzie19_3_STN870; NunaWP4Mackenzie19_3_STNR01; NunaWP4Mackenzie19_3_STNR02; NunaWP4Mackenzie19_3_STNR02_5m; NunaWP4Mackenzie19_3_STNR03; NunaWP4Mackenzie19_3_STNR04; NunaWP4Mackenzie19_3_STNR05; NunaWP4Mackenzie19_3_STNR06; NunaWP4Mackenzie19_3_STNR07; NunaWP4Mackenzie19_3_STNR08; NunaWP4Mackenzie19_3_STNR09; NunaWP4Mackenzie19_3_STNR09_20m; NunaWP4Mackenzie19_3_STNR10; NunaWP4Mackenzie19_3_STNR11; NunaWP4Mackenzie19_3_STNR12; NunaWP4Mackenzie19_3_STNR13; NunaWP4Mackenzie19_3_STNxxx; NunaWP4Mackenzie19_4_STN010; NunaWP4Mackenzie19_4_STN020; NunaWP4Mackenzie19_4_STN030; NunaWP4Mackenzie19_4_STN040; NunaWP4Mackenzie19_4_STN1030; NunaWP4Mackenzie19_4_STN1040; NunaWP4Mackenzie19_4_STN1050; NunaWP4Mackenzie19_4_STN120; NunaWP4Mackenzie19_4_STN125; NunaWP4Mackenzie19_4_STN130; NunaWP4Mackenzie19_4_STN135; NunaWP4Mackenzie19_4_STN140alt; NunaWP4Mackenzie19_4_STN140alt_2; NunaWP4Mackenzie19_4_STN150alt; NunaWP4Mackenzie19_4_STN330; NunaWP4Mackenzie19_4_STN340alt; NunaWP4Mackenzie19_4_STN350; NunaWP4Mackenzie19_4_STN360; NunaWP4Mackenzie19_4_STN370; NunaWP4Mackenzie19_4_STN380alt; NunaWP4Mackenzie19_4_STN740; NunaWP4Mackenzie19_4_STN800; NunaWP4Mackenzie19_4_STN810; NunaWP4Mackenzie19_4_STN820; NunaWP4Mackenzie19_4_STN830; NunaWP4Mackenzie19_4_STN840; NunaWP4Mackenzie19_4_STN840_2; NunaWP4Mackenzie19_4_STN850; NunaWP4Mackenzie19_4_STN860; NunaWP4Mackenzie19_4_STN870; NunaWP4Mackenzie19_4_STNR01; NunaWP4Mackenzie19_4_STNR03; NunaWP4Mackenzie19_4_STNR04; NunaWP4Mackenzie19_4_STNR05; NunaWP4Mackenzie19_4_STNR08; NunaWP4Mackenzie19_4_STNR09; NunaWP4Mackenzie19_4_STNR12; NunaWP4Mackenzie19_4_STNXX4; NunaWP4Mackenzie19_4_STNXX4_2; Salinity; Station label; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 699 data points
    Location Call Number Limitation Availability
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  • 8
    Publication Date: 2024-04-27
    Description: Water samples for stable isotopes were collected untreated in 10 mL HDPE vials, sealed tightly, stored in the dark at 4°C. Measurements were conducted at the laboratory facility for stable isotopes at AWI Potsdam using a Finnigan MAT Delta-S mass spectrometer equipped with equilibration units for the online determination of hydrogen and oxygen isotopic composition. The data is given as δD and δ18O values, which is the per mille difference to standard V-SMOW. The deuterium excess (d-excess) is calculated by: d-excess=δD-8.*δ18O. The measurement accuracy for hydrogen and oxygen isotopes was better than ±0.8%¸ and ±0.1%, respectively (Meyer et al., 2000; doi:10.1080/10256010008032939).
    Keywords: 1_STN01; 1_STN020; 1_STN040; 1_STN0a; 1_STN0b; 1_STN140alt; 1_STN150alt; 1_STN340alt; 1_STN350; 1_STN360; 1_STN370alt; 1_STN380alt; 1_STN540alt; 1_STN550; 1_STN740; 1_STN810; 1_STN830; 1_STN840; 1_STN850; 1_STN860; 1_STN870; 2_STN030; 2_STN040; 2_STN1030; 2_STN1040; 2_STN1050; 2_STN1060; 2_STN110; 2_STN120; 2_STN140alt; 2_STN150alt; 2_STN310; 2_STN320; 2_STN330; 2_STN340alt; 2_STN350; 2_STN360; 2_STN370; 2_STN380alt_2; 2_STN420; 2_STN430; 2_STN450; 2_STN530; 2_STN540alt; 2_STN550; 2_STN565; 2_STN620; 2_STN630; 2_STN740; 2_STN800; 2_STN810; 2_STN820; 2_STN830; 2_STN840; 2_STN850; 2_STN860; 2_STN870; 2_STN999; 2_STNxxx; 2_XX2; 2_XX3; 3_STN010; 3_STN020; 3_STN030; 3_STN040; 3_STN1030; 3_STN1040; 3_STN1050; 3_STN1060; 3_STN125; 3_STN130; 3_STN130_5m; 3_STN135; 3_STN140alt; 3_STN150alt; 3_STN330; 3_STN340alt; 3_STN350; 3_STN360; 3_STN370alt; 3_STN380; 3_STN740; 3_STN800; 3_STN810; 3_STN820; 3_STN830; 3_STN840; 3_STN850; 3_STN860; 3_STN870; 3_STNR01; 3_STNR02; 3_STNR02_5m; 3_STNR03; 3_STNR04; 3_STNR05; 3_STNR06; 3_STNR07; 3_STNR08; 3_STNR09; 3_STNR09_20m; 3_STNR10; 3_STNR11; 3_STNR12; 3_STNR13; 3_STNxxx; 4_STN010; 4_STN020; 4_STN030; 4_STN040; 4_STN1030; 4_STN1040; 4_STN1050; 4_STN120; 4_STN125; 4_STN130; 4_STN135; 4_STN140alt; 4_STN140alt_2; 4_STN150alt; 4_STN330; 4_STN340alt; 4_STN350; 4_STN360; 4_STN370; 4_STN380alt; 4_STN740; 4_STN800; 4_STN810; 4_STN820; 4_STN830; 4_STN840; 4_STN840_2; 4_STN850; 4_STN860; 4_STN870; 4_STNR01; 4_STNR03; 4_STNR04; 4_STNR05; 4_STNR08; 4_STNR09; 4_STNR12; 4_STNXX4; 4_STNXX4_2; AWI_Envi; AWI_Perma; biogeochemistry; Biooptics; Calculated; Coastal waters; Cruise/expedition; DATE/TIME; DEPTH, water; Deuterium excess; Event label; hydrographic data; LATITUDE; LONGITUDE; Mackenzie; Mackenzie Delta, Canada; Mass spectrometer Finnigan Delta-S; MULT; Multiple investigations; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; NunaWP4Mackenzie19_1_STN01; NunaWP4Mackenzie19_1_STN020; NunaWP4Mackenzie19_1_STN040; NunaWP4Mackenzie19_1_STN0a; NunaWP4Mackenzie19_1_STN0b; NunaWP4Mackenzie19_1_STN140alt; NunaWP4Mackenzie19_1_STN150alt; NunaWP4Mackenzie19_1_STN340alt; NunaWP4Mackenzie19_1_STN350; NunaWP4Mackenzie19_1_STN360; NunaWP4Mackenzie19_1_STN370alt; NunaWP4Mackenzie19_1_STN380alt; NunaWP4Mackenzie19_1_STN540alt; NunaWP4Mackenzie19_1_STN550; NunaWP4Mackenzie19_1_STN740; NunaWP4Mackenzie19_1_STN810; NunaWP4Mackenzie19_1_STN830; NunaWP4Mackenzie19_1_STN840; NunaWP4Mackenzie19_1_STN850; NunaWP4Mackenzie19_1_STN860; NunaWP4Mackenzie19_1_STN870; NunaWP4Mackenzie19_2_STN030; NunaWP4Mackenzie19_2_STN040; NunaWP4Mackenzie19_2_STN1030; NunaWP4Mackenzie19_2_STN1040; NunaWP4Mackenzie19_2_STN1050; NunaWP4Mackenzie19_2_STN1060; NunaWP4Mackenzie19_2_STN110; NunaWP4Mackenzie19_2_STN120; NunaWP4Mackenzie19_2_STN140alt; NunaWP4Mackenzie19_2_STN150alt; NunaWP4Mackenzie19_2_STN310; NunaWP4Mackenzie19_2_STN320; NunaWP4Mackenzie19_2_STN330; NunaWP4Mackenzie19_2_STN340alt; NunaWP4Mackenzie19_2_STN350; NunaWP4Mackenzie19_2_STN360; NunaWP4Mackenzie19_2_STN370; NunaWP4Mackenzie19_2_STN380alt_2; NunaWP4Mackenzie19_2_STN420; NunaWP4Mackenzie19_2_STN430; NunaWP4Mackenzie19_2_STN450; NunaWP4Mackenzie19_2_STN530; NunaWP4Mackenzie19_2_STN540alt; NunaWP4Mackenzie19_2_STN550; NunaWP4Mackenzie19_2_STN565; NunaWP4Mackenzie19_2_STN620; NunaWP4Mackenzie19_2_STN630; NunaWP4Mackenzie19_2_STN740; NunaWP4Mackenzie19_2_STN800; NunaWP4Mackenzie19_2_STN810; NunaWP4Mackenzie19_2_STN820; NunaWP4Mackenzie19_2_STN830; NunaWP4Mackenzie19_2_STN840; NunaWP4Mackenzie19_2_STN850; NunaWP4Mackenzie19_2_STN860; NunaWP4Mackenzie19_2_STN870; NunaWP4Mackenzie19_2_STN999; NunaWP4Mackenzie19_2_STNxxx; NunaWP4Mackenzie19_2_XX2; NunaWP4Mackenzie19_2_XX3; NunaWP4Mackenzie19_3_STN010; NunaWP4Mackenzie19_3_STN020; NunaWP4Mackenzie19_3_STN030; NunaWP4Mackenzie19_3_STN040; NunaWP4Mackenzie19_3_STN1030; NunaWP4Mackenzie19_3_STN1040; NunaWP4Mackenzie19_3_STN1050; NunaWP4Mackenzie19_3_STN1060; NunaWP4Mackenzie19_3_STN125; NunaWP4Mackenzie19_3_STN130; NunaWP4Mackenzie19_3_STN130_5m; NunaWP4Mackenzie19_3_STN135; NunaWP4Mackenzie19_3_STN140alt; NunaWP4Mackenzie19_3_STN150alt; NunaWP4Mackenzie19_3_STN330; NunaWP4Mackenzie19_3_STN340alt; NunaWP4Mackenzie19_3_STN350; NunaWP4Mackenzie19_3_STN360; NunaWP4Mackenzie19_3_STN370alt; NunaWP4Mackenzie19_3_STN380; NunaWP4Mackenzie19_3_STN740; NunaWP4Mackenzie19_3_STN800; NunaWP4Mackenzie19_3_STN810; NunaWP4Mackenzie19_3_STN820; NunaWP4Mackenzie19_3_STN830; NunaWP4Mackenzie19_3_STN840; NunaWP4Mackenzie19_3_STN850; NunaWP4Mackenzie19_3_STN860; NunaWP4Mackenzie19_3_STN870; NunaWP4Mackenzie19_3_STNR01; NunaWP4Mackenzie19_3_STNR02; NunaWP4Mackenzie19_3_STNR02_5m; NunaWP4Mackenzie19_3_STNR03; NunaWP4Mackenzie19_3_STNR04; NunaWP4Mackenzie19_3_STNR05; NunaWP4Mackenzie19_3_STNR06; NunaWP4Mackenzie19_3_STNR07; NunaWP4Mackenzie19_3_STNR08; NunaWP4Mackenzie19_3_STNR09; NunaWP4Mackenzie19_3_STNR09_20m; NunaWP4Mackenzie19_3_STNR10; NunaWP4Mackenzie19_3_STNR11; NunaWP4Mackenzie19_3_STNR12; NunaWP4Mackenzie19_3_STNR13; NunaWP4Mackenzie19_3_STNxxx; NunaWP4Mackenzie19_4_STN010; NunaWP4Mackenzie19_4_STN020; NunaWP4Mackenzie19_4_STN030; NunaWP4Mackenzie19_4_STN040; NunaWP4Mackenzie19_4_STN1030; NunaWP4Mackenzie19_4_STN1040; NunaWP4Mackenzie19_4_STN1050; NunaWP4Mackenzie19_4_STN120; NunaWP4Mackenzie19_4_STN125; NunaWP4Mackenzie19_4_STN130; NunaWP4Mackenzie19_4_STN135; NunaWP4Mackenzie19_4_STN140alt; NunaWP4Mackenzie19_4_STN140alt_2; NunaWP4Mackenzie19_4_STN150alt; NunaWP4Mackenzie19_4_STN330; NunaWP4Mackenzie19_4_STN340alt; NunaWP4Mackenzie19_4_STN350; NunaWP4Mackenzie19_4_STN360; NunaWP4Mackenzie19_4_STN370; NunaWP4Mackenzie19_4_STN380alt; NunaWP4Mackenzie19_4_STN740; NunaWP4Mackenzie19_4_STN800; NunaWP4Mackenzie19_4_STN810; NunaWP4Mackenzie19_4_STN820; NunaWP4Mackenzie19_4_STN830; NunaWP4Mackenzie19_4_STN840; NunaWP4Mackenzie19_4_STN840_2; NunaWP4Mackenzie19_4_STN850; NunaWP4Mackenzie19_4_STN860; NunaWP4Mackenzie19_4_STN870; NunaWP4Mackenzie19_4_STNR01; NunaWP4Mackenzie19_4_STNR03; NunaWP4Mackenzie19_4_STNR04; NunaWP4Mackenzie19_4_STNR05; NunaWP4Mackenzie19_4_STNR08; NunaWP4Mackenzie19_4_STNR09; NunaWP4Mackenzie19_4_STNR12; NunaWP4Mackenzie19_4_STNXX4; NunaWP4Mackenzie19_4_STNXX4_2; Permafrost Research; Polar Terrestrial Environmental Systems @ AWI; Station label; δ18O; δ Deuterium
    Type: Dataset
    Format: text/tab-separated-values, 709 data points
    Location Call Number Limitation Availability
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  • 9
    Publication Date: 2024-04-27
    Description: The determination of phytoplankton using high performance liquid chromatography (HPLC) is detailed in Hooker et al. (2005; doi:10.1364/AO.44.000553) and Ras et al. (2008; doi:10.5194/bg-5-353-2008). Briefly, the pigments of particles retained on GF/F (0.7 µm) filters were extracted at -20°C with 3 mL methanol (100%). The filter samples were then disrupted using a sonicator and clarified one hour later by vacuum filtration through GF/F filters. The extracts were rapidly analyzed within 24h by HPLC with a complete Agilent Technologies system (comprising LC Chemstation software, a degasser, a binary pump, a refrigerated autosampler, a column thermostat and a diode array detector).
    Keywords: 1_STN01; 1_STN020; 1_STN040; 1_STN0a; 1_STN0b; 1_STN140alt; 1_STN150alt; 1_STN340alt; 1_STN350; 1_STN360; 1_STN370alt; 1_STN380alt; 1_STN540alt; 1_STN550; 1_STN740; 1_STN810; 1_STN830; 1_STN840; 1_STN850; 1_STN860; 1_STN870; 19-Butanoyloxyfucoxanthin; 19-Hexanoyloxyfucoxanthin; 2_STN030; 2_STN040; 2_STN1030; 2_STN1040; 2_STN1050; 2_STN1060; 2_STN110; 2_STN120; 2_STN140alt; 2_STN150alt; 2_STN310; 2_STN320; 2_STN330; 2_STN340alt; 2_STN350; 2_STN360; 2_STN370; 2_STN380alt_2; 2_STN420; 2_STN430; 2_STN450; 2_STN530; 2_STN540alt; 2_STN550; 2_STN565; 2_STN620; 2_STN630; 2_STN740; 2_STN800; 2_STN810; 2_STN820; 2_STN830; 2_STN840; 2_STN850; 2_STN860; 2_STN870; 2_STN999; 2_STNxxx; 2_XX2; 2_XX3; 3_STN010; 3_STN020; 3_STN030; 3_STN040; 3_STN1030; 3_STN1040; 3_STN1050; 3_STN1060; 3_STN125; 3_STN130; 3_STN130_5m; 3_STN135; 3_STN140alt; 3_STN150alt; 3_STN330; 3_STN340alt; 3_STN350; 3_STN360; 3_STN370alt; 3_STN380; 3_STN740; 3_STN800; 3_STN810; 3_STN820; 3_STN830; 3_STN840; 3_STN850; 3_STN860; 3_STN870; 3_STNR01; 3_STNR02; 3_STNR02_5m; 3_STNR03; 3_STNR04; 3_STNR05; 3_STNR06; 3_STNR07; 3_STNR08; 3_STNR09; 3_STNR09_20m; 3_STNR10; 3_STNR11; 3_STNR12; 3_STNR13; 3_STNxxx; 4_STN010; 4_STN020; 4_STN030; 4_STN040; 4_STN1030; 4_STN1040; 4_STN1050; 4_STN120; 4_STN125; 4_STN130; 4_STN135; 4_STN140alt; 4_STN140alt_2; 4_STN150alt; 4_STN330; 4_STN340alt; 4_STN350; 4_STN360; 4_STN370; 4_STN380alt; 4_STN740; 4_STN800; 4_STN810; 4_STN820; 4_STN830; 4_STN840; 4_STN840_2; 4_STN850; 4_STN860; 4_STN870; 4_STNR01; 4_STNR03; 4_STNR04; 4_STNR05; 4_STNR08; 4_STNR09; 4_STNR12; 4_STNXX4; 4_STNXX4_2; Alloxanthin; alpha-Carotene + beta-Carotene; biogeochemistry; Biooptics; Carotenoid pigments, photoprotective; Carotenoid pigments, photoprotective/Carotenoids, total ratio; Carotenoid pigments, photoprotective/Pigments, total; Carotenoid pigments, photosynthetic; Carotenoid pigments, photosynthetic/Carotenoids, total ratio; Carotenoid pigments, photosynthetic/Pigments, total; Carotenoids, total; Chlorophyll, total/Carotenoids, total ratio; Chlorophyll a; Chlorophyll a/Pigments, total; Chlorophyll b; Chlorophyll c; Chlorophyll c2 + chlorophyll c1 + Mg-2,4-divinyl pheoporphyrin; Chlorophyll c3; Chlorophyllide a; Chlorophyll total; Coastal waters; Cruise/expedition; DATE/TIME; DEPTH, water; Diadinoxanthin; Diatoxanthin; Event label; Fucoxanthin; High Performance Liquid Chromatography (HPLC); hydrographic data; LATITUDE; LONGITUDE; Lutein; Mackenzie; Mackenzie Delta, Canada; Monovinyl chlorophyll a; Monovinyl chlorophyll b; MULT; Multiple investigations; Neoxanthin; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; NunaWP4Mackenzie19_1_STN01; NunaWP4Mackenzie19_1_STN020; NunaWP4Mackenzie19_1_STN040; NunaWP4Mackenzie19_1_STN0a; NunaWP4Mackenzie19_1_STN0b; NunaWP4Mackenzie19_1_STN140alt; NunaWP4Mackenzie19_1_STN150alt; NunaWP4Mackenzie19_1_STN340alt; NunaWP4Mackenzie19_1_STN350; NunaWP4Mackenzie19_1_STN360; NunaWP4Mackenzie19_1_STN370alt; NunaWP4Mackenzie19_1_STN380alt; NunaWP4Mackenzie19_1_STN540alt; NunaWP4Mackenzie19_1_STN550; NunaWP4Mackenzie19_1_STN740; NunaWP4Mackenzie19_1_STN810; NunaWP4Mackenzie19_1_STN830; NunaWP4Mackenzie19_1_STN840; NunaWP4Mackenzie19_1_STN850; NunaWP4Mackenzie19_1_STN860; NunaWP4Mackenzie19_1_STN870; NunaWP4Mackenzie19_2_STN030; NunaWP4Mackenzie19_2_STN040; NunaWP4Mackenzie19_2_STN1030; NunaWP4Mackenzie19_2_STN1040; NunaWP4Mackenzie19_2_STN1050; NunaWP4Mackenzie19_2_STN1060; NunaWP4Mackenzie19_2_STN110; NunaWP4Mackenzie19_2_STN120; NunaWP4Mackenzie19_2_STN140alt; NunaWP4Mackenzie19_2_STN150alt; NunaWP4Mackenzie19_2_STN310; NunaWP4Mackenzie19_2_STN320; NunaWP4Mackenzie19_2_STN330; NunaWP4Mackenzie19_2_STN340alt; NunaWP4Mackenzie19_2_STN350; NunaWP4Mackenzie19_2_STN360; NunaWP4Mackenzie19_2_STN370; NunaWP4Mackenzie19_2_STN380alt_2; NunaWP4Mackenzie19_2_STN420; NunaWP4Mackenzie19_2_STN430; NunaWP4Mackenzie19_2_STN450; NunaWP4Mackenzie19_2_STN530; NunaWP4Mackenzie19_2_STN540alt; NunaWP4Mackenzie19_2_STN550; NunaWP4Mackenzie19_2_STN565; NunaWP4Mackenzie19_2_STN620; NunaWP4Mackenzie19_2_STN630; NunaWP4Mackenzie19_2_STN740; NunaWP4Mackenzie19_2_STN800; NunaWP4Mackenzie19_2_STN810; NunaWP4Mackenzie19_2_STN820; NunaWP4Mackenzie19_2_STN830; NunaWP4Mackenzie19_2_STN840; NunaWP4Mackenzie19_2_STN850; NunaWP4Mackenzie19_2_STN860; NunaWP4Mackenzie19_2_STN870; NunaWP4Mackenzie19_2_STN999; NunaWP4Mackenzie19_2_STNxxx; NunaWP4Mackenzie19_2_XX2; NunaWP4Mackenzie19_2_XX3; NunaWP4Mackenzie19_3_STN010; NunaWP4Mackenzie19_3_STN020; NunaWP4Mackenzie19_3_STN030; NunaWP4Mackenzie19_3_STN040; NunaWP4Mackenzie19_3_STN1030; NunaWP4Mackenzie19_3_STN1040; NunaWP4Mackenzie19_3_STN1050; NunaWP4Mackenzie19_3_STN1060; NunaWP4Mackenzie19_3_STN125; NunaWP4Mackenzie19_3_STN130; NunaWP4Mackenzie19_3_STN130_5m; NunaWP4Mackenzie19_3_STN135; NunaWP4Mackenzie19_3_STN140alt; NunaWP4Mackenzie19_3_STN150alt; NunaWP4Mackenzie19_3_STN330; NunaWP4Mackenzie19_3_STN340alt; NunaWP4Mackenzie19_3_STN350; NunaWP4Mackenzie19_3_STN360; NunaWP4Mackenzie19_3_STN370alt; NunaWP4Mackenzie19_3_STN380; NunaWP4Mackenzie19_3_STN740; NunaWP4Mackenzie19_3_STN800; NunaWP4Mackenzie19_3_STN810; NunaWP4Mackenzie19_3_STN820; NunaWP4Mackenzie19_3_STN830; NunaWP4Mackenzie19_3_STN840; NunaWP4Mackenzie19_3_STN850; NunaWP4Mackenzie19_3_STN860; NunaWP4Mackenzie19_3_STN870; NunaWP4Mackenzie19_3_STNR01; NunaWP4Mackenzie19_3_STNR02; NunaWP4Mackenzie19_3_STNR02_5m; NunaWP4Mackenzie19_3_STNR03; NunaWP4Mackenzie19_3_STNR04; NunaWP4Mackenzie19_3_STNR05; NunaWP4Mackenzie19_3_STNR06; NunaWP4Mackenzie19_3_STNR07; NunaWP4Mackenzie19_3_STNR08; NunaWP4Mackenzie19_3_STNR09; NunaWP4Mackenzie19_3_STNR09_20m; NunaWP4Mackenzie19_3_STNR10; NunaWP4Mackenzie19_3_STNR11; NunaWP4Mackenzie19_3_STNR12; NunaWP4Mackenzie19_3_STNR13; NunaWP4Mackenzie19_3_STNxxx; NunaWP4Mackenzie19_4_STN010; NunaWP4Mackenzie19_4_STN020; NunaWP4Mackenzie19_4_STN030; NunaWP4Mackenzie19_4_STN040; NunaWP4Mackenzie19_4_STN1030; NunaWP4Mackenzie19_4_STN1040; NunaWP4Mackenzie19_4_STN1050; NunaWP4Mackenzie19_4_STN120; NunaWP4Mackenzie19_4_STN125; NunaWP4Mackenzie19_4_STN130; NunaWP4Mackenzie19_4_STN135; NunaWP4Mackenzie19_4_STN140alt; NunaWP4Mackenzie19_4_STN140alt_2; NunaWP4Mackenzie19_4_STN150alt; NunaWP4Mackenzie19_4_STN330; NunaWP4Mackenzie19_4_STN340alt; NunaWP4Mackenzie19_4_STN350; NunaWP4Mackenzie19_4_STN360; NunaWP4Mackenzie19_4_STN370; NunaWP4Mackenzie19_4_STN380alt; NunaWP4Mackenzie19_4_STN740; NunaWP4Mackenzie19_4_STN800; NunaWP4Mackenzie19_4_STN810; NunaWP4Mackenzie19_4_STN820; NunaWP4Mackenzie19_4_STN830; NunaWP4Mackenzie19_4_STN840; NunaWP4Mackenzie19_4_STN840_2; NunaWP4Mackenzie19_4_STN850; NunaWP4Mackenzie19_4_STN860; NunaWP4Mackenzie19_4_STN870; NunaWP4Mackenzie19_4_STNR01; NunaWP4Mackenzie19_4_STNR03; NunaWP4Mackenzie19_4_STNR04; NunaWP4Mackenzie19_4_STNR05; NunaWP4Mackenzie19_4_STNR08; NunaWP4Mackenzie19_4_STNR09; NunaWP4Mackenzie19_4_STNR12; NunaWP4Mackenzie19_4_STNXX4; NunaWP4Mackenzie19_4_STNXX4_2; Peridinin; Pheophorbide a, total; Pheophytin a, total; Pigments, accessory/chlorophyll a ratio; Pigments, photosynthetic; Pigments, total; Pigments, total accessory; Pigments, total diagnostic; Prasinoxanthin; Station label; Violaxanthin; Zeaxanthin
    Type: Dataset
    Format: text/tab-separated-values, 4635 data points
    Location Call Number Limitation Availability
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  • 10
    Publication Date: 2024-04-27
    Description: During Leg 1, the CTD (CTD RBR Maestro) was manually lowered in the water through an ice hole with a velocity of less than 0.3 ms-1 and an acquisition frequency of 6 Hz, yielding a vertical resolution of a few centimetres. During legs 2 to 4, the CTD (CTD RBR Concerto) was installed on a Seabird Scientific optical package frame, which was deployed with a velocity of 0.3 m s-1 and an acquisition frequency of 8 Hz. Only data from downcasts were used and poor quality profiles, that had been affected by ice-covered sensors, were removed. Atmospheric pressure observed at weather stations near the sampling locations (Aklavik, Inuvik, Shingle Point and Tuktoyaktuk) was used to tare the CTD pressure sensors. CTD profiles were smoothed and binned to a regular 0.01 m depth grid.
    Keywords: 1_STN01; 1_STN020; 1_STN040; 1_STN0a; 1_STN0b; 1_STN140alt; 1_STN150alt; 1_STN340alt; 1_STN350; 1_STN360; 1_STN370alt; 1_STN380alt; 1_STN540alt; 1_STN550; 1_STN740; 1_STN810; 1_STN830; 1_STN840; 1_STN850; 1_STN860; 1_STN870; 2_STN030; 2_STN040; 2_STN1030; 2_STN1040; 2_STN1050; 2_STN1060; 2_STN110; 2_STN120; 2_STN140alt; 2_STN150alt; 2_STN310; 2_STN320; 2_STN330; 2_STN340alt; 2_STN350; 2_STN360; 2_STN370; 2_STN380alt; 2_STN420; 2_STN430; 2_STN450; 2_STN530; 2_STN540alt; 2_STN550; 2_STN565; 2_STN620; 2_STN630; 2_STN740; 2_STN800; 2_STN810; 2_STN820; 2_STN830; 2_STN840; 2_STN850; 2_STN860; 2_STN870; 2_STN999; 2_STNXX2; 2_STNXX3; 2_STNxxx; 3_STN010; 3_STN020; 3_STN030; 3_STN040; 3_STN1030; 3_STN1040; 3_STN1050; 3_STN1060; 3_STN125; 3_STN130; 3_STN135; 3_STN140alt; 3_STN150alt; 3_STN330; 3_STN340alt; 3_STN350; 3_STN360; 3_STN370alt; 3_STN380; 3_STN740; 3_STN800; 3_STN810; 3_STN820; 3_STN830; 3_STN840; 3_STN850; 3_STN860; 3_STN870; 3_STNR01; 3_STNR02; 3_STNR03; 3_STNR04; 3_STNR05; 3_STNR06; 3_STNR07; 3_STNR08; 3_STNR09; 3_STNR10; 3_STNR11; 3_STNR12; 3_STNR13; 3_STNxxx; 4_STN010; 4_STN020; 4_STN030; 4_STN040; 4_STN1030; 4_STN1040; 4_STN1050; 4_STN120; 4_STN125; 4_STN130; 4_STN135; 4_STN140alt; 4_STN140alt_2; 4_STN150alt; 4_STN330; 4_STN340alt; 4_STN350; 4_STN360; 4_STN370; 4_STN380alt; 4_STN740; 4_STN800; 4_STN810; 4_STN820; 4_STN830; 4_STN840; 4_STN840_2; 4_STN850; 4_STN860; 4_STN870; 4_STNR01; 4_STNR03; 4_STNR04; 4_STNR05; 4_STNR08; 4_STNR09; 4_STNR12; 4_STNShingleTest; 4_STNXX4; biogeochemistry; Biooptics; Coastal waters; Cruise/expedition; CTD; DATE/TIME; DEPTH, water; Event label; Handheldmeter; hydrographic data; LATITUDE; LONGITUDE; Mackenzie; Mackenzie Delta, Canada; MULT; Multiple investigations; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; NunaWP4Mackenzie19_1_STN01; NunaWP4Mackenzie19_1_STN020; NunaWP4Mackenzie19_1_STN040; NunaWP4Mackenzie19_1_STN0a; NunaWP4Mackenzie19_1_STN0b; NunaWP4Mackenzie19_1_STN140alt; NunaWP4Mackenzie19_1_STN150alt; NunaWP4Mackenzie19_1_STN340alt; NunaWP4Mackenzie19_1_STN350; NunaWP4Mackenzie19_1_STN360; NunaWP4Mackenzie19_1_STN370alt; NunaWP4Mackenzie19_1_STN380alt; NunaWP4Mackenzie19_1_STN540alt; NunaWP4Mackenzie19_1_STN550; NunaWP4Mackenzie19_1_STN740; NunaWP4Mackenzie19_1_STN810; NunaWP4Mackenzie19_1_STN830; NunaWP4Mackenzie19_1_STN840; NunaWP4Mackenzie19_1_STN850; NunaWP4Mackenzie19_1_STN860; NunaWP4Mackenzie19_1_STN870; NunaWP4Mackenzie19_2_STN030; NunaWP4Mackenzie19_2_STN040; NunaWP4Mackenzie19_2_STN1030; NunaWP4Mackenzie19_2_STN1040; NunaWP4Mackenzie19_2_STN1050; NunaWP4Mackenzie19_2_STN1060; NunaWP4Mackenzie19_2_STN110; NunaWP4Mackenzie19_2_STN120; NunaWP4Mackenzie19_2_STN140alt; NunaWP4Mackenzie19_2_STN150alt; NunaWP4Mackenzie19_2_STN310; NunaWP4Mackenzie19_2_STN320; NunaWP4Mackenzie19_2_STN330; NunaWP4Mackenzie19_2_STN340alt; NunaWP4Mackenzie19_2_STN350; NunaWP4Mackenzie19_2_STN360; NunaWP4Mackenzie19_2_STN370; NunaWP4Mackenzie19_2_STN380alt; NunaWP4Mackenzie19_2_STN420; NunaWP4Mackenzie19_2_STN430; NunaWP4Mackenzie19_2_STN450; NunaWP4Mackenzie19_2_STN530; NunaWP4Mackenzie19_2_STN540alt; NunaWP4Mackenzie19_2_STN550; NunaWP4Mackenzie19_2_STN565; NunaWP4Mackenzie19_2_STN620; NunaWP4Mackenzie19_2_STN630; NunaWP4Mackenzie19_2_STN740; NunaWP4Mackenzie19_2_STN800; NunaWP4Mackenzie19_2_STN810; NunaWP4Mackenzie19_2_STN820; NunaWP4Mackenzie19_2_STN830; NunaWP4Mackenzie19_2_STN840; NunaWP4Mackenzie19_2_STN850; NunaWP4Mackenzie19_2_STN860; NunaWP4Mackenzie19_2_STN870; NunaWP4Mackenzie19_2_STN999; NunaWP4Mackenzie19_2_STNXX2; NunaWP4Mackenzie19_2_STNXX3; NunaWP4Mackenzie19_2_STNxxx; NunaWP4Mackenzie19_3_STN010; NunaWP4Mackenzie19_3_STN020; NunaWP4Mackenzie19_3_STN030; NunaWP4Mackenzie19_3_STN040; NunaWP4Mackenzie19_3_STN1030; NunaWP4Mackenzie19_3_STN1040; NunaWP4Mackenzie19_3_STN1050; NunaWP4Mackenzie19_3_STN1060; NunaWP4Mackenzie19_3_STN125; NunaWP4Mackenzie19_3_STN130; NunaWP4Mackenzie19_3_STN135; NunaWP4Mackenzie19_3_STN140alt; NunaWP4Mackenzie19_3_STN150alt; NunaWP4Mackenzie19_3_STN330; NunaWP4Mackenzie19_3_STN340alt; NunaWP4Mackenzie19_3_STN350; NunaWP4Mackenzie19_3_STN360; NunaWP4Mackenzie19_3_STN370alt; NunaWP4Mackenzie19_3_STN380; NunaWP4Mackenzie19_3_STN740; NunaWP4Mackenzie19_3_STN800; NunaWP4Mackenzie19_3_STN810; NunaWP4Mackenzie19_3_STN820; NunaWP4Mackenzie19_3_STN830; NunaWP4Mackenzie19_3_STN840; NunaWP4Mackenzie19_3_STN850; NunaWP4Mackenzie19_3_STN860; NunaWP4Mackenzie19_3_STN870; NunaWP4Mackenzie19_3_STNR01; NunaWP4Mackenzie19_3_STNR02; NunaWP4Mackenzie19_3_STNR03; NunaWP4Mackenzie19_3_STNR04; NunaWP4Mackenzie19_3_STNR05; NunaWP4Mackenzie19_3_STNR06; NunaWP4Mackenzie19_3_STNR07; NunaWP4Mackenzie19_3_STNR08; NunaWP4Mackenzie19_3_STNR09; NunaWP4Mackenzie19_3_STNR10; NunaWP4Mackenzie19_3_STNR11; NunaWP4Mackenzie19_3_STNR12; NunaWP4Mackenzie19_3_STNR13; NunaWP4Mackenzie19_3_STNxxx; NunaWP4Mackenzie19_4_STN010; NunaWP4Mackenzie19_4_STN020; NunaWP4Mackenzie19_4_STN030; NunaWP4Mackenzie19_4_STN040; NunaWP4Mackenzie19_4_STN1030; NunaWP4Mackenzie19_4_STN1040; NunaWP4Mackenzie19_4_STN1050; NunaWP4Mackenzie19_4_STN120; NunaWP4Mackenzie19_4_STN125; NunaWP4Mackenzie19_4_STN130; NunaWP4Mackenzie19_4_STN135; NunaWP4Mackenzie19_4_STN140alt; NunaWP4Mackenzie19_4_STN140alt_2; NunaWP4Mackenzie19_4_STN150alt; NunaWP4Mackenzie19_4_STN330; NunaWP4Mackenzie19_4_STN340alt; NunaWP4Mackenzie19_4_STN350; NunaWP4Mackenzie19_4_STN360; NunaWP4Mackenzie19_4_STN370; NunaWP4Mackenzie19_4_STN380alt; NunaWP4Mackenzie19_4_STN740; NunaWP4Mackenzie19_4_STN800; NunaWP4Mackenzie19_4_STN810; NunaWP4Mackenzie19_4_STN820; NunaWP4Mackenzie19_4_STN830; NunaWP4Mackenzie19_4_STN840; NunaWP4Mackenzie19_4_STN840_2; NunaWP4Mackenzie19_4_STN850; NunaWP4Mackenzie19_4_STN860; NunaWP4Mackenzie19_4_STN870; NunaWP4Mackenzie19_4_STNR01; NunaWP4Mackenzie19_4_STNR03; NunaWP4Mackenzie19_4_STNR04; NunaWP4Mackenzie19_4_STNR05; NunaWP4Mackenzie19_4_STNR08; NunaWP4Mackenzie19_4_STNR09; NunaWP4Mackenzie19_4_STNR12; NunaWP4Mackenzie19_4_STNShingleTest; NunaWP4Mackenzie19_4_STNXX4; Salinity; Station label; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 199672 data points
    Location Call Number Limitation Availability
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