ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
Collection
Keywords
Years
  • 1
  • 2
    Publication Date: 2024-02-07
    Description: This study presents recent observations to quantify oceanic heat fluxes along the continental slope of the Eurasian part of the Arctic Ocean, in order to understand the dominant processes leading to the observed along-track heat loss of the Arctic Boundary Current (ABC). We investigate the fate of warm Atlantic Water (AW) along the Arctic Ocean continental margin of the Siberian Seas based on 11 cross-slope conductivity, temperature, depth transects and direct heat flux estimates from microstructure profiles obtained in summer 2018. The ABC loses on average urn:x-wiley:21699275:media:jgrc24332:jgrc24332-math-0006(108) J m−2 per 100 km during its propagation along the Siberian shelves, corresponding to an average heat flux of 47 W m−2 out of the AW layer. The measured vertical heat flux on the upper AW interface of on average 10 W m−2 in the deep basin, and 3.7 W m−2 above the continental slope is larger than previously reported values. Still, these heat fluxes explain less than 20% of the observed heat loss within the boundary current. Heat fluxes are significantly increased in the turbulent near-bottom layer, where AW intersects the continental slope, and at the lee side of a topographic irregularity. This indicates that mixing with ambient colder water along the continental margins is an important contribution to AW heat loss. Furthermore, the cold halocline layer receives approximately the same amount of heat due to upward mixing from the AW, compared to heat input from the summer-warmed surface layer above. This underlines the importance of both surface warming and increased vertical mixing in a future ice-free Arctic Ocean in summer.
    Type: Article , PeerReviewed
    Format: text
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 3
    Publication Date: 2024-01-31
    Description: Snow height was measured by the Snow Depth Buoy 2018S75, an autonomous platform, drifting on Arctic sea ice, deployed during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV (TICE). The resulting time series describes the evolution of snow depth as a function of place and time between 13 September 2018 and 15 August 2020 in sample intervals of 1 hour. The Snow Depth Buoy consists of four independent sonar measurements representing the area (approx. 10 m**2) around the buoy. The buoy was installed on multi year ice. In addition to snow depth, geographic position (GPS), barometric pressure, air temperature, and an internal ice temperature were measured. Negative values of snow height occur if surface ablation continues into the sea ice. Thus, these measurements describe the position of the sea ice surface relative to the original snow-ice interface. Differences between single sensors indicate small-scale variability of the snow pack around the buoy. The data set has been processed, including the removal of obvious inconsistencies (missing values). Records without any snow depth may still be used for sea ice drift analyses.
    Keywords: 2018S75; Akademik Tryoshnikov; AT2018, TICE, NABOS; autonomous platform; AWI_SeaIce; buoy; BUOY_SNOW; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; LATITUDE; LONGITUDE; meereisportal.de; MIDO; Multidisciplinary Ice-based Distributed Observatory; Pressure, atmospheric; Sea Ice Physics @ AWI; Snow buoy; snow depth; Snow height; Temperature, air; Temperature, technical; Transdrift-XXIV; WMO-ID 2501647
    Type: Dataset
    Format: text/tab-separated-values, 59281 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 4
    Publication Date: 2024-01-31
    Description: Snow height was measured by the Snow Depth Buoy 2018S77, an autonomous platform, drifting on Arctic sea ice, deployed during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV (TICE). The resulting time series describes the evolution of snow depth as a function of place and time between 11 September 2018 and 14 March 2020 in sample intervals of 1 hour. The Snow Depth Buoy consists of four independent sonar measurements representing the area (approx. 10 m**2) around the buoy. The buoy was installed on multi year ice. In addition to snow depth, geographic position (GPS), barometric pressure, air temperature, and an internal ice temperature were measured. Negative values of snow height occur if surface ablation continues into the sea ice. Thus, these measurements describe the position of the sea ice surface relative to the original snow-ice interface. Differences between single sensors indicate small-scale variability of the snow pack around the buoy. The data set has been processed, including the removal of obvious inconsistencies (missing values). Records without any snow depth may still be used for sea ice drift analyses.
    Keywords: 2018S77; Akademik Tryoshnikov; AT2018, TICE, NABOS; autonomous platform; AWI_SeaIce; buoy; BUOY_SNOW; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; LATITUDE; LONGITUDE; meereisportal.de; MIDO; Multidisciplinary Ice-based Distributed Observatory; Pressure, atmospheric; Sea Ice Physics @ AWI; Snow buoy; snow depth; Snow height; Temperature, air; Temperature, technical; Transdrift-XXIV; WMO-ID 2501651
    Type: Dataset
    Format: text/tab-separated-values, 52057 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 5
    Publication Date: 2024-01-31
    Description: Snow height was measured by the Snow Depth Buoy 2018S72, an autonomous platform, drifting on Arctic sea ice, deployed during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV (TICE). The resulting time series describes the evolution of snow depth as a function of place and time between 13 September 2018 and 14 May 2020 in sample intervals of 1 hour. The Snow Depth Buoy consists of four independent sonar measurements representing the area (approx. 10 m**2) around the buoy. The buoy was installed on multi year ice. In addition to snow depth, geographic position (GPS), barometric pressure, air temperature, and an internal ice temperature were measured. Negative values of snow height occur if surface ablation continues into the sea ice. Thus, these measurements describe the position of the sea ice surface relative to the original snow-ice interface. Differences between single sensors indicate small-scale variability of the snow pack around the buoy. The data set has been processed, including the removal of obvious inconsistencies (missing values). Records without any snow depth may still be used for sea ice drift analyses.
    Keywords: 2018S72; Akademik Tryoshnikov; AT2018, TICE, NABOS; autonomous platform; AWI_SeaIce; buoy; BUOY_SNOW; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; LATITUDE; LONGITUDE; meereisportal.de; MIDO; Multidisciplinary Ice-based Distributed Observatory; Pressure, atmospheric; Sea Ice Physics @ AWI; Snow buoy; snow depth; Temperature, air; Temperature, technical; Transdrift-XXIV; WMO-ID 2501643
    Type: Dataset
    Format: text/tab-separated-values, 43779 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 6
    Publication Date: 2024-01-31
    Description: Snow height was measured by the Snow Depth Buoy 2018S71, an autonomous platform, drifting on Arctic sea ice, deployed during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV (TICE). The resulting time series describes the evolution of snow depth as a function of place and time between 15 September 2018 and 26 December 2019 in sample intervals of 1 hour. The Snow Depth Buoy consists of four independent sonar measurements representing the area (approx. 10 m**2) around the buoy. The buoy was installed on multi year ice. In addition to snow depth, geographic position (GPS), barometric pressure, air temperature, and an internal ice temperature were measured. Negative values of snow height occur if surface ablation continues into the sea ice. Thus, these measurements describe the position of the sea ice surface relative to the original snow-ice interface. Differences between single sensors indicate small-scale variability of the snow pack around the buoy. The data set has been processed, including the removal of obvious inconsistencies (missing values). Records without any snow depth may still be used for sea ice drift analyses.
    Keywords: 2018S71; Akademik Tryoshnikov; AT2018, TICE, NABOS; autonomous platform; AWI_SeaIce; buoy; BUOY_SNOW; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; LATITUDE; LONGITUDE; meereisportal.de; MIDO; Multidisciplinary Ice-based Distributed Observatory; Pressure, atmospheric; Sea Ice Physics @ AWI; Snow buoy; snow depth; Snow height; Temperature, air; Temperature, technical; Transdrift-XXIV; WMO-ID 2501641
    Type: Dataset
    Format: text/tab-separated-values, 46540 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 7
    Publication Date: 2024-01-31
    Description: Snow height was measured by the Snow Depth Buoy 2018S73, an autonomous platform, drifting on Arctic sea ice, deployed during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV (TICE). The resulting time series describes the evolution of snow depth as a function of place and time between 11 September 2018 and 03 April 2020 in sample intervals of 1 hour. The Snow Depth Buoy consists of four independent sonar measurements representing the area (approx. 10 m**2) around the buoy. The buoy was installed on multi year ice. In addition to snow depth, geographic position (GPS), barometric pressure, air temperature, and an internal ice temperature were measured. Negative values of snow height occur if surface ablation continues into the sea ice. Thus, these measurements describe the position of the sea ice surface relative to the original snow-ice interface. Differences between single sensors indicate small-scale variability of the snow pack around the buoy. The data set has been processed, including the removal of obvious inconsistencies (missing values). Records without any snow depth may still be used for sea ice drift analyses.
    Keywords: 2018S73; Akademik Tryoshnikov; AT2018, TICE, NABOS; autonomous platform; AWI_SeaIce; buoy; BUOY_SNOW; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; LATITUDE; LONGITUDE; meereisportal.de; MIDO; Multidisciplinary Ice-based Distributed Observatory; Pressure, atmospheric; Sea Ice Physics @ AWI; Snow buoy; snow depth; Snow height; Temperature, air; Temperature, technical; Transdrift-XXIV; WMO-ID 2501645
    Type: Dataset
    Format: text/tab-separated-values, 55790 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 8
    Publication Date: 2024-01-31
    Description: Snow height was measured by the Snow Depth Buoy 2018S74, an autonomous platform, drifting on Arctic sea ice, deployed during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV (TICE). The resulting time series describes the evolution of snow depth as a function of place and time between 14 September 2018 and 27 May 2020 in sample intervals of 1 hour. The Snow Depth Buoy consists of four independent sonar measurements representing the area (approx. 10 m**2) around the buoy. The buoy was installed on multi year ice. In addition to snow depth, geographic position (GPS), barometric pressure, air temperature, and an internal ice temperature were measured. Negative values of snow height occur if surface ablation continues into the sea ice. Thus, these measurements describe the position of the sea ice surface relative to the original snow-ice interface. Differences between single sensors indicate small-scale variability of the snow pack around the buoy. The data set has been processed, including the removal of obvious inconsistencies (missing values). Records without any snow depth may still be used for sea ice drift analyses.
    Keywords: 2018S74; Akademik Tryoshnikov; AT2018, TICE, NABOS; autonomous platform; AWI_SeaIce; buoy; BUOY_SNOW; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; LATITUDE; LONGITUDE; meereisportal.de; MIDO; Multidisciplinary Ice-based Distributed Observatory; Pressure, atmospheric; Sea Ice Physics @ AWI; Snow buoy; snow depth; Snow height; Temperature, air; Temperature, technical; Transdrift-XXIV; WMO-ID 2501644
    Type: Dataset
    Format: text/tab-separated-values, 73725 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 9
    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
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 10
    Publication Date: 2024-03-22
    Description: The data set comprised the dissolved organic carbon (DOC), total dissolved nitrogen (TDN), DOC/TDN and the specific ultraviolet absorbance (SUVA254) for MOSAiC expedition, and the CDOM parameters (spectral slope S275 295, the absorption coefficient aCDOM(350) and the biological index (BIX), the fluorescence index (FI) and humification index (HIX) ), together with five parallel factor analysis (PARAFAC) components for the MOSAiC, N ICE2015 and TA19_4 expeditions. Additionally, the salinity for Lead water samples was also included in this dataset.
    Keywords: Absorption coefficient, colored dissolved organic matter at 350 nm; Arctic Ocean; Bering Strait; Biological index; Carbon, organic, dissolved; Carbon, organic, dissolved/Nitrogen, total, dissolved ratio; CDOM; Comment; Cruise/expedition; CTD; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; DOC; East Siberian Sea; EEMs; Event label; Fluorescence index; Hand pump; HP; Humification index; Intensity; Lance; Laptev Sea; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; N-ICE2015; N-ICE2015_On-ice_CTD-001; N-ICE2015_On-ice_CTD-002; N-ICE2015_On-ice_CTD-004; N-ICE2015_On-ice_CTD-005; N-ICE2015_On-ice_CTD-006; N-ICE2015_On-ice_CTD-007; N-ICE2015_On-ice_CTD-009; N-ICE2015_On-ice_CTD-010; N-ICE2015_On-ice_CTD-011; N-ICE2015_On-ice_CTD-012; N-ICE2015_On-ice_CTD-014; N-ICE2015_On-ice_CTD-015; N-ICE2015_On-ice_CTD-020; N-ICE2015_On-ice_CTD-021; N-ICE2015_On-ice_CTD-022; N-ICE2015_On-ice_CTD-023; N-ICE2015_On-ice_CTD-028; N-ICE2015_On-ice_CTD-029; N-ICE2015_On-ice_CTD-031; N-ICE2015_On-ice_CTD-032; N-ICE2015_On-ice_CTD-036; N-ICE2015_On-ice_CTD-041; N-ICE2015_On-ice_CTD-047; N-ICE2015_On-ice_CTD-048; N-ICE2015_On-ice_CTD-052; N-ICE2015_On-ice_CTD-053; N-ICE2015_On-ice_CTD-055; N-ICE2015_On-ice_CTD-057; N-ICE2015_On-ice_CTD-059; N-ICE2015_On-ice_CTD-062; N-ICE2015_On-ice_CTD-065; N-ICE2015_On-ice_CTD-066; N-ICE2015_On-ice_CTD-067; N-ICE2015_On-ice_CTD-068; N-ICE2015_On-ice_CTD-070; N-ICE2015_On-ice_CTD-072; N-ICE2015_On-ice_CTD-073; N-ICE2015_On-ice_CTD-074; N-ICE2015_On-ice_CTD-075; N-ICE2015_On-ice_CTD-077; N-ICE2015_On-ice_CTD-078; N-ICE2015_On-ice_CTD-082; N-ICE2015_On-ice_CTD-083; N-ICE2015_On-ice_CTD-084; N-ICE2015_On-ice_CTD-085; N-ICE2015_On-ice_CTD-089; N-ICE2015_On-ice_CTD-091; N-ICE2015_On-ice_CTD-092; N-ICE2015_Ship_CTD-002; N-ICE2015_Ship_CTD-006; N-ICE2015_Ship_CTD-009; N-ICE2015_Ship_CTD-010; N-ICE2015_Ship_CTD-022; N-ICE2015_Ship_CTD-026; N-ICE2015_Ship_CTD-029; N-ICE2015_Ship_CTD-032; N-ICE2015_Ship_CTD-036; N-ICE2015_Ship_CTD-039; N-ICE2015_Ship_CTD-042; N-ICE2015_Ship_CTD-044; N-ICE2015_Ship_CTD-045; N-ICE2015_Ship_CTD-046; N-ICE2015_Ship_CTD-047; N-ICE2015_Ship_CTD-048; N-ICE2015_Ship_CTD-049; N-ICE2015_Ship_CTD-050; N-ICE2015_Ship_CTD-051; Nitrogen, total dissolved; Norwegian Young sea ICE cruise; Ocean and sea region; Optical spectroscopy; PARAFAC; PM19_113; PM19_117; PM19_119; PM19_120; PM19_122; PM19_124; PM19_129; PM19_133; PM19_135; PM19_137; PM19_139; PM19_140; PM19_160; PM19_161; PM19_162; PM19_163; PM19_164; PM19_165; PM19_166; PM19_167; PM19_168; PM19_169; PM19_170; PM19_171; PM19_172; PM19_173; PM19_174; PM19_175; PM19_176; PM19_177; PM19_178; PM19_179; PM19_180; PM19_181; PM19_184; PM19_193; PM19_194; PM19_195; PM19_196; PM19_197; PM19_198; PM19_199; Polarstern; Professor Multanovskiy; PS122/1; PS122/1_10-44; PS122/1_7-49; PS122/1_9-50; PS122/2; PS122/2_17-41; PS122/2_18-34; PS122/2_19-55; PS122/2_19-56; PS122/2_20-45; PS122/2_20-46; PS122/2_21-64; PS122/2_21-65; PS122/2_22-47; PS122/2_23-63; PS122/2_25-54; PS122/3; PS122/3_30-41; PS122/3_30-53; PS122/3_33-70; PS122/3_33-71; PS122/3_36-81; PS122/3_36-83; PS122/3_36-84; PS122/3_37-45; PS122/3_37-46; PS122/3_37-47; PS122/3_38-54; PS122/3_39-51; PS122/3_39-52; PS122/3_39-53; PS122/3_40-36; PS122/4; PS122/4_44-184; PS122/4_45-100; PS122/4_45-3; PS122/4_45-31; PS122/4_45-75; PS122/4_45-79; PS122/4_45-82; PS122/4_45-85; PS122/4_45-96; PS122/4_46-60; PS122/4_47-60; PS122/4_48-62; PS122/4_49-14; PS122/4_49-25; PS122/5; PS122/5_59-291; PS122/5_59-306; PS122/5_59-391; PS122/5_59-393; PS122/5_59-62; PS122/5_59-72; PS122/5_60-131; PS122/5_60-22; PS122/5_60-223; PS122/5_60-69; PS122/5_61-161; PS122/5_62-91; Salinity; see abstract; Specific ultraviolet absorbance normalized to DOC, 254 nm, per mass carbon; Spectral slope of colored dissolved organic matter absorption, 275-295 nm; Transarktika-2019_Leg4; Transpolar Drift
    Type: Dataset
    Format: text/tab-separated-values, 13360 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...