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  • 2020-2024  (6,309)
  • 2010-2014  (20,680)
  • 2000-2004
  • 1995-1999
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  • 1
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    Zoobenthos and sediments time series at List Reede, Sylt, Germany, 2003 to 2019 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored over 17 years for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, always during preceeded high tide. Granulometric sediment composition was analysed from a sub-sample of each box-core using a diffraction laser particle-size analyser. Macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. The amount of shell detritus was quantified as wet-weight in the benthos samples. From 2003 to 2007 sampling was approximatively monthly and from 2008 to 2013 seasonally. When a new ship with larger drought was put into operation, the number of sampling sites needed to be reduced to 33 from 2014 onwards and sampling frequency was only once per year in autumn.
    Keywords: AWI_Coast; Coastal Ecology @ AWI; Macrobenthos; sediment analysis; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: application/zip, 34 datasets
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 2
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    Topsoil isotopic composition (δ2H) from the catchment of lake Khar Nuur, Mongolia (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-13
    Keywords: Altai Mountains, Mongolia; compound-specific biomarker isotopes; DEPTH, soil; Depth, soil, maximum; Depth, soil, minimum; Event label; GASC; Gas chromatograph; KN_2H_A1; KN_2H_A10; KN_2H_A11; KN_2H_A12; KN_2H_A13; KN_2H_A2; KN_2H_A3; KN_2H_A4; KN_2H_A5; KN_2H_A6; KN_2H_A7; KN_2H_A8; KN_2H_A9; lake surface sediments; LATITUDE; LONGITUDE; Mongolia; n-Alkane C27, δD; n-Alkane C27, δD, standard deviation; n-Alkane C31, δD; n-Alkane C31, δD, standard deviation; Sample ID; SOIL; Soil profile; topsoils
    Type: Dataset
    Format: text/tab-separated-values, 65 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 3
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    Stable oxygen and carbon isotopes of planktic and benthic foraminifera from the Lardos SW hill section, Rhodes, Greece (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-13
    Description: Stable oxygen and carbon isotopes were measured on (i) the planktic foraminifera species Globigerinoides ruber (white) and alternatively, in samples in which G. ruber was lacking, on Globigerinoides conglobatus; and (ii) the benthic foraminifera species Cibicidoides pachyderma and alternatively, in samples in which C. pachyderma was lacking, on Cibicides lobatulus. 10–15 planktic and 4-6 benthic specimens of the fraction 〉250 μm were selected. Additionally, attention was paid to select specimens of similar size to minimise influences of metabolic effects and changing preferential habitats during ontogeny. For cleaning and removal of sediment, the selected foraminifera were cracked between two glass plates, transferred to a sample cup, covered with ethanol and immerged into an ultrasonic bath for 5–10 s. The sediment brought into suspension was decanted. The procedure was repeated until the ethanol remained clear after the ultrasonic bath. The cleaned foraminifera were reacted with 100% phosphoric acidat 75 °C using a Kiel III online carbonate preparation line connected to a ThermoFinnigan 252 mass spectrometer (Geochemical Laboratory of the GeoZentrum Nordbayern,Germany). Isotopic data are expressed in per mil relative to V-PDB by assigning a δ18O-value of -2.20 ‰ to NBS19, using the standard δ-notation. The reproducibility was checked by replicate analysis of laboratory standards and was found to be better than ±0.05 for δ18O and δ13C (1σ).
    Keywords: Benthic and planktonic foraminifera; Greece; Rhodes; stable oxygen and carbon isotopes
    Type: Dataset
    Format: application/zip, 4 datasets
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 4
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    Physicochemical parameters of the water column for the sample stations of the Weser river campaign 2016 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-14
    Description: A key task in understanding and mapping the complex mass transport pathways and potential transformation processes of contaminants in coastal regions such as the German Bight is to determine and evaluate the most significant contribution sources into coastal areas. Rivers represent one key input source within this context. As part of a river campaign in June 2016, sediment and freshwater samples were taken from the Weser river and its tributaries to identify their elemental and isotopic fingerprint and to investigate potential inputs to the German Bight. At every sampling station physicochemical parameters of the water column were measured directly after sampling with respective probes of a multimeter covering pH, dissolved oxygen, temperature and conductivity.
    Keywords: Conductivity, electrical; Date/Time of event; Event label; Helmholtz-Zentrum Hereon; Hereon; Latitude of event; Longitude of event; Multimeter; Oxygen, dissolved; pH; pH sensor; Sample code/label; Station label; Temperature, water; Water sample; WESER_2016; WESER_2016_Stat_1_1; WESER_2016_Stat_10_1; WESER_2016_Stat_11_1; WESER_2016_Stat_12_1; WESER_2016_Stat_13_1; WESER_2016_Stat_14_1; WESER_2016_Stat_15_1; WESER_2016_Stat_16_1; WESER_2016_Stat_17_1; WESER_2016_Stat_18_1; WESER_2016_Stat_19_1; WESER_2016_Stat_2_1; WESER_2016_Stat_20_1; WESER_2016_Stat_23_1; WESER_2016_Stat_24_1; WESER_2016_Stat_25_1; WESER_2016_Stat_26_1; WESER_2016_Stat_27_1; WESER_2016_Stat_28_1; WESER_2016_Stat_29_1; WESER_2016_Stat_3_1; WESER_2016_Stat_30_1; WESER_2016_Stat_31_1; WESER_2016_Stat_32_1; WESER_2016_Stat_33_1; WESER_2016_Stat_34_1; WESER_2016_Stat_35_1; WESER_2016_Stat_36_1; WESER_2016_Stat_37_1; WESER_2016_Stat_38_1; WESER_2016_Stat_4_1; WESER_2016_Stat_5_1; WESER_2016_Stat_6_1; WESER_2016_Stat_7_1; WESER_2016_Stat_8_1; WESER_2016_Stat_9_1; Weser_S_01; Weser_S_02; Weser_S_03; Weser_S_04; Weser_S_05; Weser_S_06; Weser_S_07; Weser_S_08; Weser_S_09; Weser_S_10; Weser_S_11; Weser_S_12; Weser_S_13; Weser_S_14; Weser_S_15; Weser_S_16; Weser_S_17; Weser_S_18; Weser_S_19; Weser_S_20; Weser_S_23; Weser_S_24; Weser_S_25; Weser_S_26; Weser_S_27; Weser_S_28; Weser_S_29; Weser_S_30; Weser_S_31; Weser_S_32; Weser_S_33; Weser_S_34; Weser_S_35; Weser_S_36; Weser_S_37; Weser_S_38; Weser, Germany, Europe; WS
    Type: Dataset
    Format: text/tab-separated-values, 213 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 5
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    Physicochemical parameters of the water column for the sample stations of the Ems river campaign 2016 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-14
    Description: In order to understand and map the complex mass transport pathways and possible transformation processes of contaminants in coastal regions such as the German Bight, the main coastal contributors must be identified and evaluated. In this context, rivers represent a major input source. In the framework of a river campaign from 20.06.16 till 25.06.2016, sediment and freshwater samples of the Ems and its tributaries were taken to determine their elemental and isotopic fingerprint and to investigate possible inputs into the German Bight. All sediment samples were obtained using a Van Veen grab sampler and were analyzed for their grain size distribution by laser diffraction.
    Keywords: Conductivity, electrical; Date/Time of event; EM2016_Stat_1_1; EM2016_Stat_10_1; EM2016_Stat_11_1; EM2016_Stat_12_1; EM2016_Stat_13_1; EM2016_Stat_14_1; EM2016_Stat_15_1; EM2016_Stat_16_1; EM2016_Stat_17_1; EM2016_Stat_18_1; EM2016_Stat_19_1; EM2016_Stat_2_1; EM2016_Stat_20_1; EM2016_Stat_21_1; EM2016_Stat_22_1; EM2016_Stat_23_1; EM2016_Stat_24_1; EM2016_Stat_25_1; EM2016_Stat_26_1; EM2016_Stat_27_1; EM2016_Stat_3_1; EM2016_Stat_4_1; EM2016_Stat_5_1; EM2016_Stat_6_1; EM2016_Stat_7_1; EM2016_Stat_8_1; EM2016_Stat_9_1; EMS_2016; Ems_S_01; Ems_S_02; Ems_S_03; Ems_S_04; Ems_S_05; Ems_S_06; Ems_S_07; Ems_S_08; Ems_S_09; Ems_S_10; Ems_S_11; Ems_S_12; Ems_S_13; Ems_S_14; Ems_S_15; Ems_S_16; Ems_S_17; Ems_S_18; Ems_S_19; Ems_S_20; Ems_S_21; Ems_S_22; Ems_S_23; Ems_S_24; Ems_S_25; Ems_S_26; Ems_S_27; Ems, Germany, Europe; Event label; Helmholtz-Zentrum Hereon; Hereon; Latitude of event; Longitude of event; Multimeter; Oxygen, dissolved; pH; Sample code/label; Station label; Temperature, water; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 162 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 6
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    Oceanic surface water isotopic compositions calibrated data from POLARSTERN cruise PS93.2 (ARK-XXIX/2.2) (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: Isotopic measurements of seawater sampled on-board Polarstern research vessel
    Keywords: Arctic; ARK-XXIX/2.2; AWI_Envi; CT; d18O; DATE/TIME; Deuterium excess; ISOARC; Isotope signature of water vapour over the Arctic Ocean; LATITUDE; LONGITUDE; Polarstern; Polar Terrestrial Environmental Systems @ AWI; PS93.2; PS93.2-track; surface water; Underway cruise track measurements; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 63 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 7
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2012 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 1098 individuals from the five sampling dates in 2012.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; Disc diameter; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 5490 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 8
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2013 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 669 individuals from the three sampling dates in 2013.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; Disc diameter; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 2370 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 9
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2017 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 259 individuals from the 2017 sampling.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 1160 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 10
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2016 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 253 individuals from the 2016 sampling.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 1070 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 11
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    Oceanic surface water isotopic compositions calibrated data from POLARSTERN cruise PS100 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-17
    Description: Isotopic measurements of seawater sampled on-board Polarstern research vessel
    Keywords: ARK-XXX/2, GN05; AWI_Envi; CT; d18O; DATE/TIME; dD; Deuterium excess; ISOARC; Isotope signature of water vapour over the Arctic Ocean; LATITUDE; LONGITUDE; ocean; Polarstern; Polar Terrestrial Environmental Systems @ AWI; PS100; PS100-track; surface water; Underway cruise track measurements; water isotopes; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 141 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 12
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2003 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 1629 individuals from the four sampling dates in 2003.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; Disc diameter; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 6430 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 13
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2004 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 3198 individuals from the 11 sampling dates in 2004.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; Disc diameter; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 12290 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 14
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2005 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 15918 individuals from the 10 sampling dates in 2005.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; Disc diameter; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 14645 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 15
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2006 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 1990 individuals from the nine sampling dates in 2006.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; Disc diameter; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 7955 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 16
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2007 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 3555 individuals from the 10 sampling dates in 2007.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; Disc diameter; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 11565 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 17
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2009 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 734 individuals from the three sampling dates in 2009.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; Disc diameter; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 2645 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 18
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2010 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 672 individuals from the three sampling dates in 2010.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; Disc diameter; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 2760 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 19
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2011 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 1018 individuals from the five sampling dates in 2011.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; Disc diameter; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 4565 data points
    Location Call Number Expected Availability
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  • 20
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2008 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 1072 individuals from the five sampling dates in 2008.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; Disc diameter; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 3830 data points
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  • 21
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2014 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 1055 individuals from the 2014 sampling.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; Disc diameter; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 1605 data points
    Location Call Number Expected Availability
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  • 22
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2015 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 294 individuals from the 2015 sampling.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 1074 data points
    Location Call Number Expected Availability
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  • 23
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2018 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 120 individuals from the 2018 sampling.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 510 data points
    Location Call Number Expected Availability
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  • 24
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    Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2019 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 134 individuals from the 2019 sampling.
    Keywords: AWI_Coast; Body length; Carapace width; Coastal Ecology @ AWI; DATE/TIME; DEPTH, water; Diameter, including arms; German Bight Wadden Sea; LATITUDE; List_Reede; Lister_Ley; Location; LONGITUDE; Long-term time series Sylt; Macrobenthos; MULT; Multiple investigations; Number of individuals per size class; Sample code/label; Shell diameter; Shell length; Species; Time-Series Data; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 655 data points
    Location Call Number Expected Availability
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  • 25
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    Radiocarbon data of high molecular weight fatty acids from sediment core ARA04C/37 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-22
    Keywords: 37GVC1; AGE; ARA04C; ARA04C/37; Araon; Arctic Ocean; Beaufort Sea; BICYCLE-SE carbon cycle model; Biomarker; Blank- and methyl-corrected; DEPTH, sediment/rock; Fraction modern carbon; Fraction modern carbon, standard deviation; GC; Gravity corer; Radiocarbon analysis (14C); radiocarbon isotope (Fm); Rock-Eval; Sample material
    Type: Dataset
    Format: text/tab-separated-values, 45 data points
    Location Call Number Expected Availability
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  • 26
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    Radiocarbon data of bulk organic carbon from sediment core ARA04C/37 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-22
    Keywords: 37GVC1; AGE; ARA04C; ARA04C/37; Araon; Arctic Ocean; Beaufort Sea; BICYCLE-SE carbon cycle model; Biomarker; DEPTH, sediment/rock; Fraction modern carbon; Fraction modern carbon, standard deviation; GC; Gravity corer; Radiocarbon analysis (14C); radiocarbon isotope (Fm); Rock-Eval; Sample material
    Type: Dataset
    Format: text/tab-separated-values, 144 data points
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  • 27
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    Impact of Indian Ocean surface temperature gradient reversals on the Indian Summer Monsoon over the last 26 kyr (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-06
    Description: The 26,000-year long time-series analyzed in a marine sediment core from the northern Bay of Bengal includes Mg/Ca-based SST estimates, Ba/Ca-based mixed layer salinity estimates, and estimates of ice-volume corrected d18O of the mixed layer. The data are provide new insights into the control of Indian Summer Monsoon over the last 26,000 years, including a strong influence of zonal and meridional SST gradient changes within the tropical Indian Ocean on Indian Summer Monsoon variability.
    Keywords: Ba/Ca-based salinitt estimates; Bay of Bengal; Holocene climate variability; Indian Monsoon; Indian Ocean Dipole; last deglaciation; Last Glacial Maximum; Mg/Ca-based paleotemperatures; runoff; Salinity; Temperature
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Expected Availability
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  • 28
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    Aerosol lithium concentration data from the Indian and Pacific ocean (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-04
    Description: A total of 125 aerosol samples were analysed for their lithium concentrations and deposition flux. Daily aerosol samples were collected from the Pacific Ocean during CLIVAR-CO2 Repeat Hydrography Sections P16 and P2. The P16 section follows 150°-152°W and was divided into two legs, a southern leg from 17°S to 71°S in January-February 2005, and a northern leg from 16°S to 56°N in February-March 2006. CLIVAR-CO2 section P2 from Japan to San Diego, along 30°N, was visited in June-August 2004. The aerosol data from both CLIVAR-CO2 sections include aerosol lithium concentration measured following digestion in HF:HNO3:HCl mixture and corrected for sea-salt contributions (Li xs total), the P16 data also includes aerosol lithium extracted with ultrapure deionised water (≥18 MΩ) by pulling 100 mL of deionised water within ten seconds through the filter (Li xs MQ). Aerosol lithium deposition flux was calculated based on the local rain rate.
    Keywords: aerosol; Cruise/expedition; DATE/TIME; Indian Ocean; LATITUDE; Lithium; Lithium, flux; Lithium, soluble; LONGITUDE; Pacific Ocean; Precipitation, annual, mean; Sinking velocity
    Type: Dataset
    Format: text/tab-separated-values, 999 data points
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  • 29
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    Physical properties of sediments in the Norwegian Trough measured on short cores taken between 1992 and 1996 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-02
    Description: Wet bulk density, dry bulk density, porosity, water content and water saturation of sediments from the Norwegian Trough were determined on short cores taken between 1992 and 1996. On the cruises 17-25 July 1992 (station 2-55) and 1-6 July 1993 (station 56-75) in the easternmost part of the Skagerrak, cores were taken with a Niemistö corer. Plastic liners (length 76 cm, outer diameter 63 mm, inner diameter 59 mm) were placed in the corer with holes drilled every five centimetres downwards. These holes were sealed with tape before sampling. After the sample was taken, the tape was removed. In most cases, there was water along the inside of the plastic liner. This water was allowed to drain before sub-samples were taken. Then plastic syringes without a tip were carefully inserted into each hole, and 10 ml of wet sediment was taken out. The sub-samples were then pressed out of the syringes into plastic bags that had been weighed in advance and stored in a refrigerator until they were measured in the laboratory. Upon arrival at the laboratory, the plastic bags with samples were weighed, the weight of the plastic bags was deducted, and the weight of 10 ml of the wet sample was noted. The weight of the dry sample was found by transferring the sample material onto a pre-weighted ceramic bowl before it was weighed again, then drying the bowl with sample in drying cabinet at 70 degrees C for 24 hours, and finally weighing the bowl with sample after drying. The weight of 10 ml of dry sample corresponds to the difference before and after drying. On the cruises 5-16 June 1994 (stations 76-133), 17-24 July 1995 (stations 135-180) and 9-19 September 1996 (stations 181-286), cores were taken with a multicorer. Plastic liners (length 61 cm, outer diameter 63 mm, inner diameter 59 mm) were placed in the corer, which after sampling was closed at both ends with rubber caps to prevent water in the core and on top of the core from leaking out or to evaporate. The cores were then transported to the laboratory in an upright position and stored as such until they were opened. After removing the rubber cap on top of the core, the water was drained by drilling holes in the plastic liner just above the top of the sediment. Lying in a rack, the core was then divided lengthwise with a circular saw by sawing through the plastic liner on both sides of the core. A thin string was then pulled in the saw gap through the sediment and the core split in two halves. Metal rings of known weight and volume were used to take sub-samples. The ring (approx. 2 cm in diameter) was gently pressed into the sediment at certain depths in the middle of one of the core halves, until the ring was full, and then gently tilted out with a spatula. The ends were levelled with a wire saw or spatula, and the excess sediment was discarded. The wet sample plus ring was weighed immediately after the sediment on the outside of the metal ring was removed. The sample was then pressed out into a pre-weighed porcelain bowl. Then the weight of bowl plus wet sample was measured, and the weight of wet sample was determined. The sample was dried in a porcelain bowl in a heating cabinet at 105 degrees C for 24 hours, before the sample plus bowl was weighed again and the dry weight was determined. More details on the methods can be found in Rise and Bøe (1995) and Bøe and Rise (1997).
    Keywords: 10; 100; 101; 102; 103; 104; 105; 106; 107; 108; 109; 11; 110; 111; 112; 113; 114; 115; 116; 117; 118; 119; 12; 120; 121; 122; 123; 127; 128; 129; 13; 130; 131; 132; 133; 135; 136; 137; 138; 139; 14; 140; 141; 142; 143; 144; 145; 146; 147; 148; 149; 15; 150; 151; 152; 153; 154; 155; 156; 157; 158; 16; 160; 161; 162; 163; 164; 165; 166; 166B; 167; 169; 17; 170; 171; 172; 173; 175; 176; 177; 178; 179; 18; 180; 181; 182; 183; 184; 185; 186; 188; 189; 19; 190; 191; 192; 193; 194; 195; 196; 197; 198; 199; 2; 200; 201; 203; 205; 206; 207; 208; 209; 21; 210; 211; 212; 213; 214; 215; 216; 22; 220; 221; 222; 223; 224; 225; 226; 227; 228; 229; 23; 230; 231; 232; 235; 236; 237; 238; 239; 24; 240; 241; 242; 243; 244; 245; 246; 247; 25; 251; 252; 253; 254; 255; 256; 257; 258; 259; 26; 260; 261; 262; 263; 264; 268; 269; 27; 270; 271; 272; 273; 274; 275; 276; 277; 28; 280; 281; 282; 283; 284; 285; 286; 29; 3; 30; 31; 32; 33; 34; 35; 36; 37; 38; 39; 4; 40; 41; 42; 43; 44; 45; 46; 47; 48; 49; 5; 50; 51; 52; 53; 54; 55; 56; 57; 58; 59; 6; 60; 61; 62; 63; 64; 65; 66; 67; 68; 69; 7; 70; 71; 72; 73; 74; 75; 76; 77; 78; 79; 8; 80; 81; 82; 83; 84; 85; 86; 87; 88; 89; 9; 90; 91; 92; 93; 94; 95; 96; 97; 98; 99; Date/Time of event; Density, dry bulk; Density, wet bulk; DEPTH, sediment/rock; dry bulk density; Event label; Håkon Mosby; HM9205; HM9205_10; HM9205_11; HM9205_12; HM9205_13; HM9205_14; HM9205_15; HM9205_16; HM9205_17; HM9205_18; HM9205_19; HM9205_2; HM9205_21; HM9205_22; HM9205_23; HM9205_24; HM9205_25; HM9205_26; HM9205_27; HM9205_28; HM9205_29; HM9205_3; HM9205_30; HM9205_31; HM9205_32; HM9205_33; HM9205_34; HM9205_35; HM9205_36; HM9205_37; HM9205_38; HM9205_39; HM9205_4; HM9205_40; HM9205_41; HM9205_42; HM9205_43; HM9205_44; HM9205_45; HM9205_46; HM9205_47; HM9205_48; HM9205_49; HM9205_5; HM9205_50; HM9205_51; HM9205_52; HM9205_53; HM9205_54; HM9205_55; HM9205_6; HM9205_7; HM9205_8; HM9205_9; HM9307; HM9307_56; HM9307_57; HM9307_58; HM9307_59; HM9307_60; HM9307_61; HM9307_62; HM9307_63; HM9307_64; HM9307_65; HM9307_66; HM9307_67; HM9307_68; HM9307_69; HM9307_70; HM9307_71; HM9307_72; HM9307_73; HM9307_74; HM9307_75; HM9404; HM9404_100; HM9404_101; HM9404_102; HM9404_103; HM9404_104; HM9404_105; HM9404_106; HM9404_107; HM9404_108; HM9404_109; HM9404_110; HM9404_111; HM9404_112; HM9404_113; HM9404_114; HM9404_115; HM9404_116; HM9404_117; HM9404_118; HM9404_119; HM9404_120; HM9404_121; HM9404_122; HM9404_123; HM9404_127; HM9404_128; HM9404_129; HM9404_130; HM9404_131; HM9404_132; HM9404_133; HM9404_76; HM9404_77; HM9404_78; HM9404_79; HM9404_80; HM9404_81; HM9404_82; HM9404_83; HM9404_84; HM9404_85; HM9404_86; HM9404_87; HM9404_88; HM9404_89; HM9404_90; HM9404_91; HM9404_92; HM9404_93; HM9404_94; HM9404_95; HM9404_96; HM9404_97; HM9404_98; HM9404_99; HM9506; HM9506_135; HM9506_136; HM9506_137; HM9506_138; HM9506_139; HM9506_140; HM9506_141; HM9506_142; HM9506_143; HM9506_144; HM9506_145; HM9506_146; HM9506_147; HM9506_148; HM9506_149; HM9506_150; HM9506_151; HM9506_152; HM9506_153; HM9506_154; HM9506_155; HM9506_156; HM9506_157; HM9506_158; HM9506_160; HM9506_161; HM9506_162; HM9506_163; HM9506_164; HM9506_165; HM9506_166; HM9506_166B; HM9506_167; HM9506_169; HM9506_170; HM9506_171; HM9506_172; HM9506_173; HM9506_175; HM9506_176; HM9506_177; HM9506_178; HM9506_179; HM9506_180; HM9606; HM9606_181; HM9606_182; HM9606_183; HM9606_184; HM9606_185; HM9606_186; HM9606_188; HM9606_189; HM9606_190; HM9606_191; HM9606_192; HM9606_193; HM9606_194; HM9606_195; HM9606_196; HM9606_197; HM9606_198; HM9606_199; HM9606_200; HM9606_201; HM9606_203; HM9606_205; HM9606_206; HM9606_207; HM9606_208; HM9606_209; HM9606_210; HM9606_211; HM9606_212; HM9606_213; HM9606_214; HM9606_215; HM9606_216; HM9606_220; HM9606_221; HM9606_222; HM9606_223; HM9606_224; HM9606_225; HM9606_226; HM9606_227; HM9606_228; HM9606_229; HM9606_230; HM9606_231; HM9606_232; HM9606_235; HM9606_236; HM9606_237; HM9606_238; HM9606_239; HM9606_240; HM9606_241; HM9606_242; HM9606_243; HM9606_244; HM9606_245; HM9606_246; HM9606_247; HM9606_251; HM9606_252; HM9606_253; HM9606_254; HM9606_255; HM9606_256; HM9606_257; HM9606_258; HM9606_259; HM9606_260; HM9606_261; HM9606_262; HM9606_263; HM9606_264; HM9606_268; HM9606_269; HM9606_270; HM9606_271; HM9606_272; HM9606_273; HM9606_274; HM9606_275; HM9606_276; HM9606_277; HM9606_280; HM9606_281; HM9606_282; HM9606_283; HM9606_284; HM9606_285; HM9606_286; Latitude of event; Longitude of event; MUC; MultiCorer; NC; Niemistoe corer; North Sea; Norwegian Trough, North Sea; porosity; Porosity; Saturation; Skagerrak; Station label; water content; Water content, sediment; water saturation; wet bulk density
    Type: Dataset
    Format: text/tab-separated-values, 6366 data points
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  • 30
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    Solid phase concentrations in the sediment at 5 sites along a water depth transect in the Gulf of Mexico (Louisiana continental shelf) (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-03
    Description: All sediments were freeze-dried and the porosity was determined from the weight loss upon freeze drying. To determine the total elemental concentrations of aluminum (Al), Co, Fe, Mn, Ni, and S, ca. 125 mg of sediment was digested in 2.5 ml mixed acid (HNO3:HClO4; 2:3) and 2.5 ml 40% HF at 90◦C. After fuming off the acids, the residue was redissolved in 4.5% HNO3. The solutions were subsequently analyzed on an ICP-OES. The analytical uncertainty based on duplicates and triplicates was 〈1% for Al, 〈4.2% for Co, 〈1.6% for Fe, 〈2.5% for Mn, 〈2.3% for Ni, and 〈1.7% for S. A subsample of circa 300 mg was decalcified with 2 wash steps of 1M HCl and subsequently dried, powdered and analyzed for carbon (C) using an elemental analyser (Fisons Instrumentsmodel NA 1500 NCS). Organic C content was determined after correction for the weight loss following decalcification. The analytical uncertainty based on duplicates and triplicates was 〈0.07 wt%.
    Keywords: 64PE434_1; 64PE434_2; 64PE434_3; 64PE434_4; 64PE434_5; 64PE434_NICO_Leg7; Aluminium, total; Carbon, organic; Cobalt, total; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Event label; Gulf of Mexico; Inductively Coupled Plasma - Optical Emission Spectrometry (ICP-OES); Iron; Iron, total; Iron ascorbic acid extraction; Iron disulfide; Iron II, ferrous iron; Iron monosulfide; Iron oxides; Manganese, total; Nickel, total; Pelagia; Porosity; Station 1; Station 2; Station 3; Station 4; Station 5; Sulfur, total; Surface water sample; SWS
    Type: Dataset
    Format: text/tab-separated-values, 1511 data points
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  • 31
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    Porewater concentrations of ammonium, nitrite, nitrate, sulfate, hydrogen sulfide, dissolved iron and dissolved manganese at 5 sites along a water depth transect in the Gulf of Mexico (Louisiana continental shelf) (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-03
    Description: Porewater samples for NH4+, NO3- , and NO2- were analyzed on board with Quattro gas-segmented continuous flow analysers using the indophenolblue method (NH+4), and the sulphanyl-amide method (NOx). Porewater sulfide was determined spectrophotometrically using phenylenediamine and ferric chloride. Porewater samples for SO4 2- were analyzed by ion-chromatography. Dissolved Fe and Mn were analyzed by Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES; Spectro Arcos). Porewater concentrations were around or below the detection limit (0.5 and 0.8 μmol L−1, respectively) and are therefore not presented.
    Keywords: 64PE434_1; 64PE434_2; 64PE434_3; 64PE434_4; 64PE434_5; 64PE434_NICO_Leg7; Ammonium; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Event label; Gulf of Mexico; Hydrogen sulfide; Inductively Coupled Plasma - Optical Emission Spectrometry (ICP-OES); Ion chromatography; Iron, dissolved; Manganese, dissolved; Nitrate; Nitrite; Pelagia; see description in data abstract; Station 1; Station 2; Station 3; Station 4; Station 5; Sulfate; Surface water sample; SWS
    Type: Dataset
    Format: text/tab-separated-values, 839 data points
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  • 32
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    Surface sediment and topsoil biomarker isotope data from Lake Khar Nuur and its catchment, Mongolia (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-13
    Description: The compound-specific hydrogen isotopic composition (δ2H) of n-alkanes well reflect hydrological conditions in lake sediments, but the spatial distribution of the δ2H signal of terrestrial and aquatic n - alkanes within lakes is not systematically investigated so far. Therefore, we analyzed compound-specific δ2H of terrestrial and aquatic n-alkanes of 46 surface sediment samples from Lake Khar Nuur, a semi-arid and high-altitude lake in the Mongolian Altai (2,486 m a.s.l.; 48°37'22.9N, 88°56'42.5E). Additionally, we analyzed the terrestrial δ2H signal of 13 topsoils from the catchment. Lake surface sediments were recovered from the lake floor with a Van Veen Grab sampler and topsoils (0-5 cm) were sampled as a mixed samples of three subsamples from each site during a fieldtrip in July 2018. Sample extraction procedure is described in detail by Strobel et al. (in revision). Compound-specific δ2H was analyzed for the terrestrial n-alkane C31 (δ2HC31) in the topsoil and surface sediment samples, whereas δ2H of the aquatic C23 (δ2HC23) was analyzed in the lake surface sediments. One topsoil site is grown by Betula nana (L.) showing C27 as the dominant chain-length, which was target for compound-specific δ2H measurements at this site (δ2HC27). All δ2H measurements were carried out on an IsoPrime visION isotope ratio mass spectrometer coupled to an Agilent 7890A GC via a GC5 pyrolysis/combustion interface operating in pyrolysis mode with a Cr (ChromeHD) reactor at 1050 °C.
    Keywords: compound-specific biomarker isotopes; lake surface sediments; Mongolia; topsoils
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 33
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    Limnological, sedimentological, mineralogical and geological data of 76 aquatic ecosystems of the northern Neotropics (from Yucatán Peninsula Mexico to Nicaragua) sampled in 2013 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-14
    Description: Here, we present 23 water physical (temperature, dissolved oxygen, pH, conductivity) and chemical (major anions Cl-, SO42-, CO32-, HCO3- and cations Ca2+, K+, Mg2+, Na+), sedimentological (total carbon (TC), total inorganic carbon (TIC), total organic carbon (TOC), total nitrogen (TN)), mineralogical (quartz, carbonate, phyllosilicates and feldspars) and geological (altitude, bedrock type and age of sediments) variables of aquatic systems of the Northern Neotropical region. Sampling was conducted in 76 aquatic systems during July-October 2013, coinciding with the rainy season in the region. Sampling sites are located on the Yucatán Peninsula Mexico (n=28), Guatemala (n=26), El Salvador (n=14), Honduras (n=5) and Nicaragua (n=3). We aim to identify limnological regions based on the measured variables and to infer the influence of geodiversity in observed patterns. Water physical and chemical variables were measured in situ with a WTW Multi Set 350i multiparameter probe at a water depth of 0.5 m. Water samples for analysis of major anions and cations were collected at water depths of 0.5 m below surface. TC and TN in sediments contents were determined by combustion with a LECO TruSpec Macro CHN analyzer. TIC was quantified with a Woesthoff Carmhograph C-16. TOC was calculated by subtracting TIC from TC. Qualitative and semi-quantitative mineralogical compounds were examined by x-ray diffraction with a RIGAKU Miniflex600. ArcGIS software was used to identify geological attributes of sampling sites such as bedrock and age of sediments. Altitude, latitude, and longitude were determined with the navigator Garmin GPSmap 60c.
    Keywords: ArcGIS software; Bedrock type; Bicarbonate ion; Calcium; Calculated by subtracting TIC from TC; Carbon, inorganic, total; Carbon, organic, total; Carbon, total; Carbonate; Carbonate, Intensity; Chloride; Conductivity, electrolytic; DATE/TIME; DEPTH, water; Device type; ELEVATION; Epoch; Event label; Feldspar, Intensity; LATITUDE; LECO TruSpec Macro CHN analyzer; Limnolgy; LONGITUDE; Magnesium; mineralogy; MULT; Multiple investigations; Nitrogen, total; northern Neotropical region; northern Neotropics; Oxygen; pH; Phyllosilicates, Intensity; Potassium; Quartz, intensity; Sample ID; Sedimentology; Sodium; Sulfate; Temperature, water; Woesthoff Carmhograph C-16; WTW Multi Set 350i multiparameter probe; X-ray diffraction (RIGAKU Miniflex600); YP-GSHN-2013; YP-GSHN-2013_ALE; YP-GSHN-2013_AMA; YP-GSHN-2013_APA; YP-GSHN-2013_ARA; YP-GSHN-2013_ATI; YP-GSHN-2013_BAC; YP-GSHN-2013_CAL; YP-GSHN-2013_CAMP; YP-GSHN-2013_CAN; YP-GSHN-2013_CAO; YP-GSHN-2013_CH1; YP-GSHN-2013_CH2; YP-GSHN-2013_CHA; YP-GSHN-2013_CHI; YP-GSHN-2013_COA; YP-GSHN-2013_COL; YP-GSHN-2013_COM; YP-GSHN-2013_CSAB; YP-GSHN-2013_DIE; YP-GSHN-2013_EMI; YP-GSHN-2013_ENC; YP-GSHN-2013_ESP; YP-GSHN-2013_GLO; YP-GSHN-2013_GMI; YP-GSHN-2013_GRA; YP-GSHN-2013_GUI; YP-GSHN-2013_ILO; YP-GSHN-2013_IPA; YP-GSHN-2013_ITZ; YP-GSHN-2013_JOC; YP-GSHN-2013_JOS; YP-GSHN-2013_JUA; YP-GSHN-2013_JUC; YP-GSHN-2013_KAN; YP-GSHN-2013_LAC; YP-GSHN-2013_LCH1; YP-GSHN-2013_LCH2; YP-GSHN-2013_MAD; YP-GSHN-2013_MAG; YP-GSHN-2013_MAN; YP-GSHN-2013_MAS; YP-GSHN-2013_MET; YP-GSHN-2013_MIG; YP-GSHN-2013_MIS; YP-GSHN-2013_MU1; YP-GSHN-2013_MU2; YP-GSHN-2013_MUY; YP-GSHN-2013_NAG; YP-GSHN-2013_NEG; YP-GSHN-2013_NIC; YP-GSHN-2013_NOH; YP-GSHN-2013_OLO; YP-GSHN-2013_OQU; YP-GSHN-2013_OXO; YP-GSHN-2013_PE1; YP-GSHN-2013_PET; YP-GSHN-2013_PIN; YP-GSHN-2013_PO1; YP-GSHN-2013_PO2; YP-GSHN-2013_QUE; YP-GSHN-2013_ROS; YP-GSHN-2013_SAB; YP-GSHN-2013_SAC; YP-GSHN-2013_SAL; YP-GSHN-2013_SEN; YP-GSHN-2013_SEP; YP-GSHN-2013_SIJ; YP-GSHN-2013_SIL; YP-GSHN-2013_TEK; YP-GSHN-2013_TIC; YP-GSHN-2013_VAL; YP-GSHN-2013_VER; YP-GSHN-2013_YAL; YP-GSHN-2013_YAX; YP-GSHN-2013_YOJ; YP-GSHN-2013_YUM
    Type: Dataset
    Format: text/tab-separated-values, 1652 data points
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  • 34
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    Radiocarbon age measurements on foraminifera from sediment core OR1-1218-C2-BC (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Description: Radiocarbon ages measured on different sample types from the marine sediment core OR1-1218-C2-BC which was retrieved from the southern South China Sea using a box corer. Onboard the ship, the core was separated into several sub-cores of which nine sub-core were analysed. Bulk samples contain 1/3 of 200 individual foraminifera (~800 µg) picked from the nine sub-cores at discrete depths (0 - 2, 6 - 8, 10 - 12, 16 - 18, 22 - 24, 28 - 30 and 32 - 34 cm.). Additional small number samples are based on 5 specimens with ten replications for two depths (6 - 8 and 36 - 37 cm) from sub-core 1. The data are used to estimate the sediment accumulation rate and the vertical extent of the sediment mixing. Additionally, the data are used to assess the intensity of the sediment mixing and the three-dimensional age-heterogeneity within the core.
    Keywords: AWI_Envi; AWI_SPACE; Foraminifera; marine; Polar Terrestrial Environmental Systems @ AWI; radiocarbon; sediment; Space-time structure of climate change @ AWI
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 35
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    Temperature, Salinity, pH, oxygen and chlorophyll measurements in the Oddewatt oyster reef in 2020 (2022)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2023-03-16
    Description: Temperature, Salinity, pH, oxygen and chlorophyll data was collected with a Hydrolab HL7 multi parameter sonde installed on an oyster table in the Oddewatt oyster reef in Königshafen, Sylt, Germany (55.028483, 8.433876). The table and sonde surface during low tide.
    Keywords: abiotic parameters; Chlorophyll a; DATE/TIME; DEPTH, water; HydroLab HL7; Königshafen; Königshafen, Sylt, Germany; Oxygen, dissolved; Oxygen saturation; OysterBed_2020; pH; Salinity; Temperature, water; Waddensea
    Type: Dataset
    Format: text/tab-separated-values, 58880 data points
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  • 36
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    Western tropical South Atlantic sea surface temperature for the Last Interglacial based on Mg/Ca in shells of Globigerinoides ruber (white) from sediment core GL-1180 (2022)
    PANGAEA
    Details
    Publication Date: 2023-04-08
    Description: The Last Interglacial (LIG, 129-116 thousand years ago) is an excellent case study for global warming scenarios and a target for proxy-model comparisons. The LIG global average sea surface temperature (SST) was ~0.5°C higher than pre-industrial (PI). Despite the global average, tropical SST compilations and model simulations show a negative anomaly in LIG SST relative to PI. Here, we present a LIG SST record from marine sediment core GL-1180 retrieved from the western tropical South Atlantic (WTSA). The SST record is based on Mg/Ca ratios of planktonic foraminifera Globigerinoides ruber (white).
    Keywords: AGE; Core; CORE; DEPTH, sediment/rock; Derived from measurements in shells of Globigerinoides ruber (white); GL1180; GL-1180; Globigerinoides ruber; Globigerinoides ruber white, Aluminium/Calcium ratio; Globigerinoides ruber white, Iron/Calcium ratio; Globigerinoides ruber white, Manganese/Calcium ratio; Last Interglacial; Mg/Ca-based sea surface temperature; Sea surface temperature; Sea surface temperature, standard error; western tropical Atlantic; western tropical South Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 210 data points
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  • 37
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    Borehole temperature measurements and drilling data at MeBo200 drill sites in the Black Sea and the South China Sea (2022)
    PANGAEA
    Details
    Publication Date: 2023-04-27
    Description: Drilling data and borehole temperature data for one MARUM-MeBo200 drill site in the Black Sea (GeoB22605-1) and three MARUM-MeBo200 drill sites in the South China Sea (GeoB23213-1, GeoB23231-1, GeoB23234-1). Drilling data contain time, drilling depth and flush water flow rate, that is assumed to have an impact on the temperature distribution within the borehole. Borehole temperature data were measured at the end of the drilling operation with an autonomous borehole logging tool during trip out of the drill string. The temperature data sets contain time, depth of temperature sensor, and event descriptions that refer to the end of flush water operation as well as to the operation of the logging tool.
    Keywords: Drilling data; MeBo200
    Type: Dataset
    Format: application/zip, 8 datasets
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  • 38
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    Glacier surface velocities of Kesselwandferner, 2020/2021 (2022)
    PANGAEA
    Details
    Publication Date: 2023-04-27
    Description: Glacier surface velocities are measured on four neighbouring glaciers in the Ötztal Alps (Austria). Measurements of the annual horizontal flow velocity (Δs/a [m/a]) on Hintereisferner (HEF) were started in 1885 at stone lines (cross-profiles). Annual values for the stone lines are given as mean values from the stones at the cross-profiles. On Kesselwandferner, the annual horizontal (Δs/a [m/a]) and vertical velocities (Δv/a [m/a], positive upwards and negative downwards) are measured at ablation and accumulation stakes since 1965. On Taschachferner (TSF) and Gepatschferner (GPF), the records of annual and subseasonal horizontal flow velocities at ablation stakes were started in 2009. This data series is a continuation of: doi:10.1594/PANGAEA.896741
    Keywords: DATE/TIME; GLAC; Glacial flow, horizontal; Glacial flow, vertical; Glacial flow velocity, horizontal, annual; Kesselwandferner; Kesselwandferner, Ötztaler Alpen, Austria; KWF; LATITUDE; Line; LONGITUDE; Sampling/measurements on glacier; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; Years
    Type: Dataset
    Format: text/tab-separated-values, 64 data points
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  • 39
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    Glacier surface velocities of Hintereisferner, 2020/2021 (2022)
    PANGAEA
    Details
    Publication Date: 2023-04-27
    Description: Glacier surface velocities are measured on four neighbouring glaciers in the Ötztal Alps (Austria). Measurements of the annual horizontal flow velocity (Δs/a [m/a]) on Hintereisferner (HEF) were started in 1885 at stone lines (cross-profiles). Annual values for the stone lines are given as mean values from the stones at the cross-profiles. On Kesselwandferner, the annual horizontal (Δs/a [m/a]) and vertical velocities (Δv/a [m/a], positive upwards and negative downwards) are measured at ablation and accumulation stakes since 1965. On Taschachferner (TSF) and Gepatschferner (GPF), the records of annual and subseasonal horizontal flow velocities at ablation stakes were started in 2009. This data series is a continuation of: doi:10.1594/PANGAEA.896741
    Keywords: DATE/TIME; Glacial flow velocity, horizontal, annual; HEF; Hintereisferner; Hintereisferner, Ötztaler Alpen, Austria; LATITUDE; Line; LONGITUDE; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; Years
    Type: Dataset
    Format: text/tab-separated-values, 7 data points
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  • 40
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    Glacier surface velocities of Gepatschferner and Taschachferner, 2020/2021 (2022)
    PANGAEA
    Details
    Publication Date: 2023-04-27
    Description: Glacier surface velocities are measured on four neighbouring glaciers in the Ötztal Alps (Austria). Measurements of the annual horizontal flow velocity (Δs/a [m/a]) on Hintereisferner (HEF) were started in 1885 at stone lines (cross-profiles). Annual values for the stone lines are given as mean values from the stones at the cross-profiles. On Kesselwandferner, the annual horizontal (Δs/a [m/a]) and vertical velocities (Δv/a [m/a], positive upwards and negative downwards) are measured at ablation and accumulation stakes since 1965. On Taschachferner (TSF) and Gepatschferner (GPF), the records of annual and subseasonal horizontal flow velocities at ablation stakes were started in 2009. This data series is a continuation of: doi:10.1594/PANGAEA.896741
    Keywords: Austria; DATE/TIME; Event label; Gepatschferner; GLAC; Glacial flow velocity, horizontal, annual; LATITUDE; LONGITUDE; Number; Sampling/measurements on glacier; Taschachferner_E; Tirol, Austria; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; Years
    Type: Dataset
    Format: text/tab-separated-values, 70 data points
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  • 41
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    Borehole temperature measurements at MeBo200 drill site GeoB22605-1, Black Sea (2022)
    PANGAEA
    Details
    Publication Date: 2023-04-27
    Description: Borehole temperature measurements at site GeoB22605-1 were performed with the sea floor drill rig MARUM-MeBo200 during research expedition M142 in November 2017 at the Danube Deep Sea fan in the Black Sea. A platinum resistance sensor integrated in the 1343 Slimhole Memory Acoustic Tool developed by ANTARES Datasystems GmbH was used to measure the temperature of the fluid within the borehole with 103 mm diameter. The temperature range is –20 to +80 °C, the absolute accuracy within the limits of the measuring range is about 1 °C. The resolution of the temperature measurements is about 0.003 °C. Temperatures were logged with a frequency of 0.5 Hz by a memory adapter with an integrated clock that was synchronized with GPS-time. Borehole logging was conducted during trip out of the drill string. When the drilling operation was completed and the drill string was lifted by about 3.5 m the logging string was dropped into the drill string. After landing on the drill bit the logging string together with the drill string were tripped out of borehole. The depth control system of the drill rig was used to calculate the sensor depth with an accuracy of 0.1%.
    Keywords: Black Sea; borehole logging; Borehole temperature; Center for Marine Environmental Sciences; Comment; DATE/TIME; DEPTH, sediment/rock; Depth temperature sensor; GeoB22605-1; M142; M142_06-1; MARUM; MeBo; MeBo200; Meteor (1986); Temperature, technical
    Type: Dataset
    Format: text/tab-separated-values, 20786 data points
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  • 42
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    Sedimentary hydrodynamic processes under low-oxygen conditions: implications for past, present, and future oceans (2022)
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Description: The Benguela Upwelling System is situated between 18°S and 26°S and is characterized by seasonally variable upwelling cells, elevated surface primary and secondary productivity, high sedimentary organic carbon concentrations (up to 20 %), and locally stable bottom water anoxia. Between 2014 and 2019, surface sediment cores were collected, subsampled, and analysed using geochemical and sedimentological tools. For the grain size fractionation, a combined sieve-centrifuge-filtering approach was developed to create seven fractions (〉 250, 250-200, 200-125, 125-63, 63-10, 10-2, ≤ 2.0 µm) and the density fractionation followed a centrifugation sequence to yield four fractions using sodium polytungstate (NaW) heavy liquid (≤ 1.6, 1.6-2.0, 2.0-2.5, 〉 2.5 g cm-3) (cf., Wakeham et al., 2009, https://doi.org/10.1016/j.marchem.2009.08.005). The bulk surface sediment and each fraction were analysed for TOC (%), radiocarbon age (F14C), and surface area (m2 g-1). Together with literature data, these samples are used to test and illustrate a novel hypothesis on sediment hydrodynamic properties in oxygen-depleted environments.
    Keywords: Benguela Upwelling System; density fractionation; grain size analysis; radiocarbon isotope (Fm); SLOB; Total Organic Carbon
    Type: Dataset
    Format: application/zip, 16 datasets
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  • 43
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    In situ Be-10, Al-26, and Ne-21 measurements of detrital river sediment in central Cuba (2022)
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Description: We measured the concentration of in situ Be-10 and Al-26 in quartz separated from medium (250-850 micron) detrital river sand collected from 22 watersheds in central Cuba. Samples were collected in summer 2018 from watersheds ranging in size from 2 to 730 km². Be and Al extraction was completed at the University of Vermont Community Cosmogenic Facility and accelerator mass spectrometer measurements were made at PRIME Lab. Many of the sampled basins are low slope (average 〈 1 degree) and underlain by marine rocks. Samples are from the same locations as published chemical weathering rates inferred from dissolved loads in river water (Bierman et al. 2020).
    Keywords: Caribbean; Cosmogenic nuclide; cosmogenic radionuclides; erosion; erosion rate; Tropical; tropics
    Type: Dataset
    Format: application/zip, 12 datasets
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  • 44
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    Biological soil quality of the DOK long-term field experiment from spring samples 2019 (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-27
    Keywords: Alkaline Phophatase activity in p-nitrophenol per soil dry mass; alkaline phosphatase activity; Carbon/Nitrogen ratio; composted manure; Depth, bottom/max; DEPTH, soil; Depth, top/min; Elemental analyser; farming systems; Linear regression; long−term field experiment; Metabolic quotient per soil microbial biomass-carbon; Microbial biomass as carbon per soil dry mass; Microbial biomass as nitrogen per soil dry mass; Nitrogen, soil; Organic carbon, soil; organic matter input quality; pH; Plot; Principal component 1; Principal component 2; see further details; soil basal respiration; Soil basal respiration per soil dry mass; soil microbial biomass; Soil microbial biomass per soil organic carbon; soil organic carbon; Soil organic carbon, flux; SOILS; Soil sample; Switzerland; Therwil_DOK_trial
    Type: Dataset
    Format: text/tab-separated-values, 1536 data points
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  • 45
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    Biannual soil organic carbon of the DOK long-term field experiment (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-27
    Keywords: alkaline phosphatase activity; composted manure; Depth, bottom/max; DEPTH, soil; Depth, top/min; farming systems; long−term field experiment; Organic carbon, soil; organic matter input quality; Plot; see further details; soil basal respiration; soil microbial biomass; soil organic carbon; SOILS; Soil sample; Switzerland; Therwil_DOK_trial
    Type: Dataset
    Format: text/tab-separated-values, 2165 data points
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  • 46
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    Whole rock major and chalcophile element composition as well as measurments of standard materials from samples at the Niuatahi caldera (Table S4) (2022)
    PANGAEA
    Details
    Publication Date: 2023-04-24
    Keywords: #436; #439; #440; Aluminium oxide; Antimony; Arsenic; Barium; Bismuth; Cadmium; Calcium oxide; Cobalt; Copper; Elevation of event; Event label; hydrothermal deep sea vents; ICP-MS; in-situ mineral geochemistry; Iron oxide, total; Latitude of event; Lead; Longitude of event; Magnesium oxide; Manganese oxide; Material; Molybdenum; Nickel; Pb isotopes; Phosphorus pentoxide; Potassium oxide; Remote operated vehicle; ROV; Sample code/label; Selenium; Silicon dioxide; SO263; SO263_069; SO263_071; SO263_082; SO263_097; SO263_103; Sodium oxide; Sonne_2; Sulfur isotopes; Television-Grab; Tellurium; Thallium; Titanium dioxide; Tonga Rift; TVG; X-ray fluorescence (XRF); Zinc
    Type: Dataset
    Format: text/tab-separated-values, 112 data points
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  • 47
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    Water chemistry of a Lagrangian sampling of Inland Elbe 2020 (MOSES Hydrological Extremes) (2022)
    PANGAEA
    Details
    Publication Date: 2023-04-22
    Description: The MOSES test campaign ELBE 2020 includes activities along the middle reaches to the tidal Elbe river and the German Bight. The inland Elbe river part of the campaign covers physico-chemical parameters from various sites along the Elbe River and its main tributaries. The sampling was conducted in a Langrangian way according to travel time, particularly between Aug 04 to Aug 12. Discharge in Magdeburg was 241 m³/s which is about mean low discharge (231 m³/s). Physico-chemical parameters as well as nutrients were sampled using the research vessel ALBIS from Schmilka (km 4, German border) to Geestacht (km 585, close to Hamburg). The targets were water quality measurement by multiparameter probes and chemical analyses, the detection of phytoplankton growth and decrease of dissolved nutrients along the river.
    Keywords: 2020ELBE_el00400l; 2020ELBE_el00400m; 2020ELBE_el00400r; 2020ELBE_el05450l; 2020ELBE_el05450m; 2020ELBE_el05450r; 2020ELBE_el08800l; 2020ELBE_el08800m; 2020ELBE_el08800r; 2020ELBE_el10700l; 2020ELBE_el10700m; 2020ELBE_el10700r; 2020ELBE_el15450l; 2020ELBE_el15450m; 2020ELBE_el15450r; 2020ELBE_el17260l-MST; 2020ELBE_el17260m; 2020ELBE_el17260r; 2020ELBE_el19900muend; 2020ELBE_el25800l; 2020ELBE_el25800m; 2020ELBE_el25800r; 2020ELBE_el25900muend; 2020ELBE_el28700l; 2020ELBE_el28700m; 2020ELBE_el28700r; 2020ELBE_el29070muend; 2020ELBE_el31800l; 2020ELBE_el31800m; 2020ELBE_el31800r; 2020ELBE_el32653l; 2020ELBE_el32653m; 2020ELBE_el32653r; 2020ELBE_el35100l; 2020ELBE_el35100m; 2020ELBE_el35100r; 2020ELBE_el38800l; 2020ELBE_el38800m; 2020ELBE_el38800r; 2020ELBE_el42225l; 2020ELBE_el42225m; 2020ELBE_el42225r; 2020ELBE_el43800muend; 2020ELBE_el45490l; 2020ELBE_el45490m; 2020ELBE_el45490r; 2020ELBE_el47500l; 2020ELBE_el47500m; 2020ELBE_el47500r; 2020ELBE_el50600l; 2020ELBE_el50600m; 2020ELBE_el50600r; 2020ELBE_el53600l; 2020ELBE_el53600m; 2020ELBE_el53600r; 2020ELBE_el57040l; 2020ELBE_el57040m; 2020ELBE_el57040r; 2020ELBE_el58550l; 2020ELBE_el58550m; 2020ELBE_el58550r; Ammonium-nitrogen; Area/locality; Breitenhagen links; Breitenhagen mitte; Breitenhagen rechts; Carbon, inorganic, dissolved; Carbon, inorganic, total; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon analyzer; CFA; Chlorophyll a; Conductivity, electrical; Continuous Flow Analysis; Date/Time of event; DIMA-IC; Distance; Doemitz, li; Doemitz, re; Dommitzsch Mitte; Dommitzsch rechts; drought; Elbe; Elbe Dresden CarolaBruecke links; Elbe Dresden CarolaBruecke Mitte; Elbe Dresden CarolaBruecke rechts; Elbe km 388.0 Tangermuende links; Elbe km 388.0 Tangermuende rechts; Elbe km 506, Doemitz, mitte; Elbe MD links, km 318, MD Westerhuesen; Elbe Riesa Bruecke links; Elbe Riesa Bruecke Mitte; Elbe Riesa Bruecke rechts; Elbe Roެau mitte, km 258; Elbe Torgau Bruecke links; Elbe Torgau Bruecke Mitte; Elbe Torgau Bruecke rechts; Event label; Faehre Werben Elbe km 422,25 links; Faehre Werben Elbe km 422,25 Mitte; Faehre Werben Elbe km 422,25 rechts; Geestacht links; Geestacht rechts; Geesthacht; Havel Muendung; HPLCO; hydrological extremes; Lauenburg links; Lauenburg Mitte; Lauenburg rechts; Magdeburg mitte; Magdeburg Neue StromBruecke links; Magdeburg Neue StromBruecke Mitte; Magdeburg Neue StromBruecke rechts; Magdeburg rechts km 318; Messstation Dommitzsch, links Strom-km 172,6; Modular Observation Solutions for Earth Systems; MOSES; Mulde Muendung; MULT; Multiple investigations; Neu Darchau links; Neu Darchau mitte; Neu Darchau rechts; Nitrate-nitrogen; Nitrite-nitrogen; Nitrogen, organic, particulate; nutrients; Oxygen, dissolved; pH; Phosphorus, reactive soluble; Phosphorus, total; Photometry; Phytoplankton; Pigments analysis by HPLC (UV and FLD); River Elbe; Rogaetz links; Rogaetz mitte; Rogaetz rechts; Roެau links; Roެau rechts; AutoBruecke - Hochwasserprobenahme; Saale Muendung Elbekilometer 290,7; Schmilka links; Schmilka mitte; Schmilka rechts; Schnackenburg links; Schnackenburg mitte; Schnackenburg rechts; Schwarze Elster Muendung; Silicon; Tangermuende, Mitte km 388,0; Temperature, water; Turbidity (Nephelometric turbidity unit); Wittenberge, links; Wittenberge, mitte; Wittenberge, rechts; YSI 610 Handheld Multiparameter Instrument; Zehren links; Zehren mitte; Zehren rechts
    Type: Dataset
    Format: text/tab-separated-values, 1339 data points
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  • 48
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    Soil organic carbon over 42 years of organic and conventional farming and biological soil quality in year 42 of the DOK long-term field experiment (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-27
    Description: The DOK trial in Therwil (CH), compares bioorganic (BIOORG), biodynamic (BIODYN) and integrated (CONFYM) farming systems at two farmyard manure intensities corresponding to 0.7 and 1.4 livestock units per hectare with a purely mineral fertilized system (CONMIN) and an unfertilized control (NOFERT) since 1978. The treatments differ in plant protection and receive farming system specific organic matter inputs differing in rate and quality. SOC contents increased in BIODYN 1.4, less in BIOORG 1.4, and were stable in CONFYM 1.4. Enhanced biological soil quality under organic and particularly biodynamic management highlights the immanent relation between soil biology and SOC changes. Systems fertilized with manure of 0.7 livestock units and CONMIN lost SOC, but loss was highest in NOFERT. The impact on soil quality was only detectable after 20 years of continuous management. We conclude that recycling of the manure from 1.4 livestock units per hectare allows to maintain SOC levels and that the investment in producing manure compost from the same number of livestock is needed to enhance SOC levels and improve biological soil quality. The data come from 96 field plots (8 farming systems, 3 subplots with crops from a temporally shifted 7-year crop rotation, 4 replicates). Soil organic carbon was analysed in archived samples from 0-20 cm every second year between 1982 and 2018. Soil quality as assessed by pH, SOC, Ntot, soil microbial biomass C and N, soil basal respiration and alkaline phosphatase activity was measured in the 42nd year of the trial in 0-20 cm samples taken in spring 2019.
    Keywords: alkaline phosphatase activity; composted manure; farming systems; long−term field experiment; organic matter input quality; soil basal respiration; soil microbial biomass; soil organic carbon
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 49
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    Radiolarian based subsurface temperatures in sediment core MD11-3353 (360kyrs record) (2022)
    PANGAEA
    Details
    Publication Date: 2023-03-30
    Description: In the Southern Ocean (SO), climate-driven latitudinal migrations of the Antarctic Circumpolar Current (ACC) frontal system impact large-scale ocean circulation and primary productivity. Latitudinal migrations may not have been identical in all SO basins due to the presence or absence of regional bathymetric obstacles. The Antarctic Polar Front (APF), defined by the 3–5 ◦C surface temperature range and the 2 ◦C subsurface temperature minimum at 200 m, is particularly important for nutrient redistribution and biodiversity, influencing the soft tissue carbon pump in the modern SO. However, previous assessments of its migrations in the past, mostly based on a single metric or indirect observations, were not always robust. Here, we combine a new proxy for subsurface temperature (sub-ST) reconstructions based on radiolarian assemblages (sub-STrad), with relative abundance variations of key radiolarian species, and sea-surface temperatures (SST) reconstructions, based on diatom assemblages (SSTdiat), to refine estimations of the past mean APF locations in the Kerguelen Plateau (KP) region. Data from three sediment cores on a south (55◦S) to north (47◦S) transect are used to trace the mean APF locations for three climate states, glacials, peak-interglacials and mild-interglacials. Our results suggest that the APF, presently located south of Kerguelen Islands, shifted by 6–7 degrees of latitude and was located north of the KP during all glacial periods of the last 360 kyrs. This suggests that the ACC major flow interacted less with the bottom topography relative to its modern counterpart, probably resulting in less mixing of the water column over and in the lee of the KP. We propose that this process participated in the isolation of Antarctic surface waters (AASW) and in the reduction of macro-nutrient supply, thus resulting in lower regional productivity. During the warmer-than-present early interglacial periods, the APF probably migrated south by ~5 degrees of latitude relative to its modern position, to pass through the Fawn Trough. Contrary to glacial periods, the APF was forced in an “S” shape while the ACC main flow was constrained against the northern tip of the KP. In this configuration, a stronger interaction between the ACC, its associated fronts, and topography is expected, resulting in more mixing of the water column over and east of the KP. Congruently, siliceous productivity was probably restrained to latitudes south of the Fawn Trough.
    Keywords: AGE; Calculated from radiolarians; CALYPSO2; Calypso Corer II; DEPTH, sediment/rock; INDIEN SUD 2; Kerguelen; Marion Dufresne (1995); MD11-3353; MD185; Radiolarian; Sea sub-surface temperature; subsurface temperatures; transfer function
    Type: Dataset
    Format: text/tab-separated-values, 470 data points
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  • 50
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    Wet chemical surface ozone measurements during Walther Herwig transit cruise to Antarctica in 1977 (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: This cuise was the transit to the 2. German Antarctic Expedition 1977/1978 with Walter Herwig II.
    Keywords: CT; DATE/TIME; Electrochemical concentration cell (ECC) (Atmannspacher 1971); LATITUDE; LONGITUDE; Ozone; Underway cruise track measurements; Walther Herwig II; WH030-transit; WH030-transit-track
    Type: Dataset
    Format: text/tab-separated-values, 500 data points
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  • 51
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    Wet chemical surface ozone measurements during Walter Herwig cruises in 1980 and 1981 (WH044 and transits) (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: Building on the experiences and results of the previous two Antarctic voyages with FFS "Walther Herwig" 1975/76 and 1977/78, in the spring of 1981 the third voyage of this ship to the Southern Ocean took place. The transit to and from Antarctica are included here as well. After leaving Montevideo on January 20, 1981 FFS "Walther Herwig" took part in the international FIBEX program.
    Keywords: CT; DATE/TIME; Electrochemical concentration cell (ECC) (Atmannspacher 1971); LATITUDE; LONGITUDE; Ozone; Underway cruise track measurements; Walther Herwig II; WH044; WH044-track; WH044-transit-start; WH89, FIBEX, 2 legs
    Type: Dataset
    Format: text/tab-separated-values, 744 data points
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  • 52
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    Wet chemical surface ozone measurements during Anton Dohrn cruise 104 in 1980 (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: The voyage of the fishing research vessel Anton Dohrn was mainly in an east-west direction. The changes in the mixing ratio of ozone are mainly due to meteorological processes. The device worked reliably. The supervisor was U. Kaminski (DWD).
    Keywords: AD104A; AD104A-track; AD104B; AD104B-track; Anton Dohrn; CT; DATE/TIME; Electrochemical concentration cell (ECC) (Atmannspacher 1971); Event label; LATITUDE; LONGITUDE; Ozone; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 374 data points
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  • 53
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    Wet chemical surface ozone measurements during Walter Herwig cruises WH082 and WH085 in 1987 (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: This dataset contains the surface ozone measurements conducted during Walther Herwig cruises WH082 and WH085 in 1987. The ozone mixing ratios during WH082 showed strong variations, which can be attributed to meteorological features, most likely stratospheric intrusions. During WH085 there were relatively little variations.
    Keywords: CT; DATE/TIME; Electrochemical concentration cell (ECC) (Atmannspacher 1971); Event label; LATITUDE; LONGITUDE; Ozone; Underway cruise track measurements; Walther Herwig II; WH082; WH082-track; WH085A; WH085A-track; WH085B; WH085B-track; WH130A; WH130B
    Type: Dataset
    Format: text/tab-separated-values, 2255 data points
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  • 54
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    Processed PIRATA current meter mooring (KPO_0560) (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: Processed data from 8 instruments deployed in a current meter mooring in the equatorial Atlantic. Instrument 1 was an ADCP and instruments 2 to 8 vector averaging current meters (VACM).
    Keywords: Current velocity, east-west; Current velocity, north-south; DATE/TIME; DEPTH, water; Flag; KPO_0560; MOOR; Mooring; Pressure, water; Sample code/label
    Type: Dataset
    Format: text/tab-separated-values, 410408 data points
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  • 55
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    Nitrogen turnover in the Ems estuary 2014 (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: We measured dissolved and particular inorganic nitrogen concentrations in the Ems estuary (Germany). The sampling campaign was conducted on three days in August 2014 (05.08.2014– 07.08.2014) on board of the German research vessel Ludwig Prandtl. Water samples were taken regularly along the salinity gradient of the estuary irrespective of the state of the tide 2 m below the surface. For stations S276 to S280, only the Ferrybox measurements were taken 2 m below the surface. The water samples were taken by a Niskin-Bottle 2 m above the bottom. The water samples were filtered immediately and stored frozen for analysis of dissolved inorganic nutrient and nitrate stable isotope composition. Filtered samples for suspended particular matter (SPM) concentration, particular carbon and nitrogen content of SPM and nitrogen stable isotope composition of SPM were dried at 50°C and also stored frozen. An onboard membrane pump provided the on-line in situ FerryBox system with water from 2 m below the surface. It continuously measured oxygen, salinity, and temperature during our cruise. More information can be found in Sanders and Laanbroek (2018). The aims of the cruise were 1) to study spatial segregation of nitrogen turnover, 2) to identify the dominant nitrogen turnover processes in the water column and 3) to investigate controlling factors of the nitrogen cycle along the Ems estuary.
    Keywords: Carbon, total, particulate; Carbon/Nitrogen ratio; Continuous flow analyser (AA3, Seal Analytics, Germany); Date/Time of event; DEPTH, water; Elemental analyser; Element analyser, Carlo Erba NA2500, coupled with an isotope ratio mass spectrometerFinnigan MAT 252; Ems estuary; Event label; Helmholtz-Zentrum Hereon; Hereon; Latitude of event; Longitude of event; LP201408; LP201408_S274; LP201408_S275; LP201408_S276; LP201408_S277; LP201408_S278; LP201408_S279; LP201408_S280; LP201408_S281; LP201408_S282; LP201408_S283; LP201408_S284; LP201408_S285; LP201408_S286; LP201408_S287; LP201408_S288; LP201408_S289; LP201408_S290; Ludwig Prandtl; Measurement as N2O using isotope-ratio mass spectrometry (IRMS). Bacterial conversion to N2O, so called Denitrifier-method (according to Sigman et al. 2001; Casciotti et al. 2002). Average of the measurement of 2 replicates; Nitrogen, particulate; Nitrogen in ammonium; Nitrogen in nitrate; Nitrogen in nitrite; On-line-in-situ FerryBox-System (Pertersen et al. 2001); Oxygen; Salinity; Sample ID; Sample method; Station label; Suspended particulate matter; Temperature, water; Water sample; WS; δ15N; δ15N, nitrate; δ18O, nitrate
    Type: Dataset
    Format: text/tab-separated-values, 366 data points
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  • 56
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    Wet chemical surface ozone measurements during Walther Herwig cruise WH068 in 1985 (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: This dataset contains the ozone measurements conducted during Walther Herwig cruise WH068 in January-April 1985 and includes the transits to and from this cruise. The ozone minimum at 8°S on the return trip is striking. Here, under conditions of low vertical exchange and high solar radiation, ozone may have been decomposed by photolysis
    Keywords: CT; DATE/TIME; Electrochemical concentration cell (ECC) (Atmannspacher 1971); Event label; LATITUDE; LONGITUDE; Ozone; Underway cruise track measurements; Walther Herwig II; WH068/1; WH068/1-track; WH068/2; WH068/2-track; WH113/1, SIBEX-II; WH113/2, SIBEX-II
    Type: Dataset
    Format: text/tab-separated-values, 2850 data points
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  • 57
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    Physical oceanography from mooring KPO_0727 (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: Current velocity data from an equatorial mooring in the Atlantic( 0°N, 35°W ). The aim was to study the equatorial deep jets. Included is data from 4 rotor current meters (Aanderaa RCM 8). These instruments were incorporated in WHOI mooring 938 .
    Keywords: Current velocity, east-west; Current velocity, north-south; DATE/TIME; DEPTH, water; Flag; KPO_0727; MOOR; Mooring; Pressure, water; Sample code/label; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 292520 data points
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  • 58
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    Processed TACE current meter mooring (KPO_0562) (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: Processed and merged (filtered, subsampled and interpolated) data from two ADCPs in a current meter mooring in the equatorial Atlantic.
    Keywords: Current velocity, east-west; Current velocity, north-south; DATE/TIME; DEPTH, water; Flag; KPO_0562; MOOR; Mooring; Pressure, water; Sample code/label
    Type: Dataset
    Format: text/tab-separated-values, 160048 data points
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  • 59
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    Meteorology data collected at Punta Arenas Airport in 2019 and 2020 (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: Dataset contains measurements of meteorological parameters including temperature, wind direction, wind speed and relative humidity, cloud coverage, and cloud height. Data were collected at the Punta Arenas Airport (53.01 S, 70.85 W) from SYNOP (surface synoptic observations).
    Keywords: Cloud base height; Cloud coverage; DATE/TIME; Humidity, relative; PAC_2019_2020_Met; Punta Arenas, Chile; SYNOP (surface synoptic observations); Temperature, air; Wind direction, true; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 74712 data points
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  • 60
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    Surface site density of INP (ns) as a function of temperature, based on samples taken close to Punta Arena in 2019 and 2020 (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: Dataset contains the surface site density of INP (ns) as a function of temperature.
    Keywords: Ice active surface site density; measured using PM10 filters; PAC_2019_2020_INP; Punta Arenas, Chile; Temperature, technical
    Type: Dataset
    Format: text/tab-separated-values, 6378 data points
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  • 61
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    Surface site density of INP (ns) after heating as a function of temperature, based on samples taken close to Punta Arena in 2019 and 2020 (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: Dataset contains the surface site density of INP (ns) as a function of temperature. Aforehand, the samples have been heated at 95 °C for 1 hour.
    Keywords: Ice active surface site density; measured using PM10 filters; PAC_2019_2020_INP; Punta Arenas, Chile; Temperature, technical
    Type: Dataset
    Format: text/tab-separated-values, 3224 data points
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  • 62
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    Total organic carbon profile of the well-log ES-1 drilled at the Espírito Santo basin (western South Atlantic) for the Late Cretaceous (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: Rock samples for TOC were dried at 40 ºC and then grounded to a fine powder with subsequent carbonate dissolution with HCl and organic-carbon combustion using a LECO WR 112 Carbon Analyser.
    Keywords: Carbon, organic, total; Carbon analyser, LECO; Depth, well; Espirito_Santo_Basin; Late Cretaceous; Milankovitch forcing; orbital tuning; South Atlantic; western South Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 1026 data points
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  • 63
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    Post infra-red, infra-red stimulated luminescence (PostIR-IRSL) dates of fluvial and marine Terraces along the lower Santa Ynez River, California (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Keywords: AGE; Age, error; Dose rate; Equivalent dose; Equivalent dose, uncertainty; Estimated; Event label; Ft3; Ft5_footwall; Ft5_hanging_wall; Ft7; Gamma spectrometry; Gamma spectroscopy; Metal pipe; Mt1; Mt4; Number; PostIR-IRSL protocol adopted from Buylaert et al. (2009) and Rhodes (2015); Potassium; Potassium, error; Sample comment; Sample ID; Santa Ynez River, California, USA; Thorium; Thorium, error; Uranium; Uranium, error
    Type: Dataset
    Format: text/tab-separated-values, 186 data points
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  • 64
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    In-situ mineral, bulk sulfide-sulfate, S- and Pb isotope, and whole rock major and chalcophile element data from the submarine Niuatahi hydrothermal system, Lau basin, Tonga rear-arc (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: The samples used in this study were recovered from active hydrothermal venting at the seafloor at the Niuatahi caldera, Lau basin, Tonga rear-arc, observed during research cruise SO263. The dataset was collected in order to define the magmatic and hydrothermal processes leading to spatially selective trace element enrichment within submarine caldera-hosted black smoker systems. The in-situ data was measured by electron probe micro analyzer and laser ablation inductively coupled mass spectrometry. The sulfur- and Pb isotope composition of hydrothermal sulfide separates were analysed by a Flash EA IsoLink elemental analyzer interfaced to a ThermoScientific Delta V Advantage isotope ratio mass spectrometer and a a Thermo-Fisher Neptune Plus multicollector inductively coupled mass spectrometer, respectively. Bulk sulfide-sulfate composition was determined by an Agilent 735 inductively coupled mass spectrometer, inductively coupled optical emission spectroscopy and instrumental neutron activation analysis. The whole rock/glass major and chalcophile element contents were measured by a Spectro XEPOS He-x-ray fluorescences spectrometer, a JEOL JXA-8200 Superprobe electron probe micro analyzer, a Thermo Fisher Scientific X-Series 2 quadrupole inductively coupled mass spectrometer, and a PSA Millenium Excalibur 10.055 continuous flow hydride-generation atomic fluorescence spectrometer. All analyses except the bulk sulfide-sulfate and S isotope measurements were carried out at the GeoZentrum Nordbayern, Friedrich-Alexander University, Germany, which were measured at Activation Labs in Ontario, Canada, and the Westfälische Wilhelms-University, Münster, Germany, respectively. The dataset gives a detailed insight into the magmatic and hydrothermal evolution and processes controlling seafloor black-smoker-style mineralization.
    Keywords: hydrothermal deep sea vents; in-situ mineral geochemistry; Pb isotopes; Sulfur isotopes
    Type: Dataset
    Format: application/zip, 8 datasets
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  • 65
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    Freshwater and sediment data of the entire Ems river and its tributaries sampled during summer 2016 (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: In order to understand and map the complex mass transport pathways and possible transformation processes of contaminants in coastal regions such as the German Bight, the main contributors must be identified and evaluated. In this context, rivers represent a major input source. In the framework of a river campaign from 20.06.16 till 25.06.2016, sediment and freshwater samples of the Ems and its tributaries were taken to determine their elemental and isotopic fingerprint and to investigate possible inputs into the German Bight.
    Keywords: Helmholtz-Zentrum Hereon; Hereon
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 66
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    Freshwater and sediment data of the entire Weser river and its tributaries sampled during summer 2016 (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: A key task in understanding and mapping the complex mass transport pathways and potential transformation processes of contaminants in coastal regions such as the German Bight is to determine and evaluate the most significant contribution sources into coastal areas. Rivers represent one key input source within this context. As part of a river campaign in June 2016, sediment and freshwater samples were taken from the Weser river and its tributaries to identify their elemental and isotopic fingerprint and to investigate potential inputs to the German Bight.
    Keywords: Helmholtz-Zentrum Hereon; Hereon
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 67
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    Late Cretaceous cyclostratigraphy for the subtropical western South Atlantic, Espírito Santo Basin (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: Well-log data was acquired in a Late Cretaceous section of the Espírito Santo basin (western South Atlantic). Cyclostratigraphic techniques were used to explore the eventual pacing of orbital cycles in the deposition of sequences. The frequency ratio method was used to interpret the orbital cycles and based on this a long-eccentricity signal was interpreted and extracted to create a floating time-scale. Using a seismic horizon associated Cretaceous-Paleogene transition, a strong shift in the natural gamma-ray data was anchored to an age of 66.0 Ma producing an anchored astronomical time-scale placed between late Albian and early Ypresian.
    Keywords: Late Cretaceous; Milankovitch forcing; orbital tuning; South Atlantic
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 68
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    Processed TACE current meter mooring (KPO_0563) (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: Processed and merged (filtered, subsampled and interpolated) data from two ADCPs in a current meter mooring in the equatorial Atlantic.
    Keywords: Current velocity, east-west; Current velocity, north-south; DATE/TIME; DEPTH, water; Flag; KPO_0563; MOOR; Mooring; Pressure, water; Sample code/label
    Type: Dataset
    Format: text/tab-separated-values, 139552 data points
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  • 69
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    Processed PIRATA current meter mooring (KPO_0561) (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: Processed data from 8 instruments deployed in a current meter mooring in the equatorial Atlantic. Instrument 1 was an ADCP and instruments 2 to 8 vector averaging current meters (VACM).
    Keywords: Current velocity, east-west; Current velocity, north-south; DATE/TIME; DEPTH, water; Flag; KPO_0561; MOOR; Mooring; Pressure, water; Sample code/label
    Type: Dataset
    Format: text/tab-separated-values, 225008 data points
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  • 70
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    Wet chemical surface ozone measurements during YMER cruise Y80 in June-August 1980 (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: To mark the centenary of Swedish polar explorer Nordenskjöld's research trip, Sweden hosted a new research trip to the polar region between Franz Josef Land, Svalbard and Greenland. The icebreaker Ymer, which otherwise operates in the Baltic Sea, was used for this purpose. Several containers were set up on the prow in front of the bridge. The ozone device was installed in an air chemistry laboratory container on the port side, from where the intake line was routed to the railing mounted above. The voyage was mostly in the pack-ice belt and the crew was instructed to keep the ship bow-to-wind whenever possible so that air-chemical measurements with long sampling times remained undisturbed. The device was stable. On the return trip to Stockholm, the wind was mostly unfavorable, so that south of 70°N hardly any usable data could be obtained.
    Keywords: CT; DATE/TIME; Electrochemical concentration cell (ECC) (Atmannspacher 1971); LATITUDE; LONGITUDE; Ozone; Underway cruise track measurements; Y80-track; Ymer; YMER-80
    Type: Dataset
    Format: text/tab-separated-values, 1978 data points
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  • 71
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    Wet chemical surface ozone measurements during Walther Herwig cruise WH030 in Antarctica and cruise WH031 in 1978 (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: The Antarctic Expedition 1977/78 of the Federal Republic of Germany was carried out by the Bundesforschungsanstalt für Fischerei in Hamburg and the Institut für Meereskunde, Universität Kiel with the vessel Walter Herwig (WH030).
    Keywords: CT; DATE/TIME; Electrochemical concentration cell (ECC) (Atmannspacher 1971); LATITUDE; LONGITUDE; Ozone; Underway cruise track measurements; Walther Herwig II; WH030B; WH030B-track; WH031; WH031-start; WH75/2; WH76
    Type: Dataset
    Format: text/tab-separated-values, 1429 data points
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  • 72
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    Temperature of the ground, measured near surface, at Etna volcano (N-E Rift), Italy, hourly recorded in situ from 2009 to 2012 (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: The dataset consists of temperature measurements of the porous ground (loose volcanic breccia). The temperature data were acquired for 3 years, from 30 September 2009 to 14 September 2012. Name of the station BTL, site location Latitude: 37.780675° Longitude: 15.008787°. BTL station was located at a distance of about 120 m (meters) from the fumarole vents that developed at an altitude of about 2470 m a.s.l. (above sea level) on Mt. Etna's North-East Rift. Approximate location of the fumarole vents: 33S 500740E; 4181593N. The volcanic feature that suggested the label for the monitoring station (BTL) is the neighbor “Bottoniera Line of craters”, on the northern flank of Etna. The temperature data have been recorded on a vertical line of four PT1000 sensors (temperature range of –40 °C to 150 °C, accuracy ±0.2 °C, resolution ±0.1 °C); the distance between each sensor was 0.15 m, thus the total depth of the monitored profile was 0.60 meter. A data-logger (model EBRO EBI 2T-313 four-channel) protected by a watertight case, acquired and stored data every hour, for about three years. The stored data file was downloaded once, at the end of the monitoring period, and none touched the probes in the monitored site during the monitoring period of time. The uploaded file includes all the raw measurements for the temperature profiles showing a linear correlation (R2) higher than 0.990 because these have been used by the author for further evaluations of the heat flux from the ground, possibly related to the volcanic activity (Diliberto et al., 2018 (doi:10.1007/s00445-018-1198-0); Diliberto & Gennaro, 2022(doi:10.3390/app12094471)). The profiles of temperature showing a not ideal linear fitting (R2 lower than 0.990) have been filtered out from the dataset.
    Keywords: BTL_Monitoring-2009-2012; DATE/TIME; diffuse outgassing; Monitoring station; MONS; Mount Etna, Sicily, Italia; Pt-1000 temperature sensor; steam convection; Temperature, in rock/sediment; thermal monitoring; transition periods; volcanic activity
    Type: Dataset
    Format: text/tab-separated-values, 65196 data points
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  • 73
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    Data of the Garchinger Heide 1984-1993-2018: processed data species (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Keywords: Bavaria, Germany; BM; Botanical mapping; Botany; Ecology & Environment; Garchinger_Heide_X03M01; Garchinger_Heide_X03M02; Garchinger_Heide_X03M03; Garchinger_Heide_X03M04; Garchinger_Heide_X03M05; Garchinger_Heide_X03M06; Garchinger_Heide_X03M07; Garchinger_Heide_X03M08; Garchinger_Heide_X03M09; Garchinger_Heide_X03M10; Garchinger_Heide_X03M11; Garchinger_Heide_X03M12; Garchinger_Heide_X03M13; Garchinger_Heide_X03M14; Garchinger_Heide_X03M15; Garchinger_Heide_X03M16; Garchinger_Heide_X03M17; Garchinger_Heide_X03M18; Garchinger_Heide_X03N01; Garchinger_Heide_X03N02; Garchinger_Heide_X03N03; Garchinger_Heide_X03N04; Garchinger_Heide_X03N05; Garchinger_Heide_X03N06; Garchinger_Heide_X03S01; Garchinger_Heide_X03S02; Garchinger_Heide_X03S03; Garchinger_Heide_X03S04; Garchinger_Heide_X03S05; Garchinger_Heide_X03S06; Garchinger_Heide_X03S07; Garchinger_Heide_X03S08; Garchinger_Heide_X03S09; Garchinger_Heide_X03S10; Garchinger_Heide_X03S11; Garchinger_Heide_X03S12; Garchinger_Heide_X03S13; Garchinger_Heide_X03S14; Garchinger_Heide_X03S15; Garchinger_Heide_X03S16; Garchinger_Heide_X03S17; Garchinger_Heide_X03S18; Garchinger_Heide_X18I1; Garchinger_Heide_X18I10; Garchinger_Heide_X18I11; Garchinger_Heide_X18I12; Garchinger_Heide_X18I13; Garchinger_Heide_X18I14; Garchinger_Heide_X18I15; Garchinger_Heide_X18I16; Garchinger_Heide_X18I17; Garchinger_Heide_X18I18; Garchinger_Heide_X18I19; Garchinger_Heide_X18I2; Garchinger_Heide_X18I20; Garchinger_Heide_X18I21; Garchinger_Heide_X18I22; Garchinger_Heide_X18I23; Garchinger_Heide_X18I24; Garchinger_Heide_X18I25; Garchinger_Heide_X18I26; Garchinger_Heide_X18I27; Garchinger_Heide_X18I3; Garchinger_Heide_X18I4; Garchinger_Heide_X18I5; Garchinger_Heide_X18I6; Garchinger_Heide_X18I7; Garchinger_Heide_X18I8; Garchinger_Heide_X18I9; Garchinger_Heide_X18II1; Garchinger_Heide_X18II14; Garchinger_Heide_X18II2; Garchinger_Heide_X18II3; Garchinger_Heide_X18II4; Garchinger_Heide_X18II5; Garchinger_Heide_X18II6; Garchinger_Heide_X18II7; Garchinger_Heide_X18II8; Garchinger_Heide_X18III1; Garchinger_Heide_X18III16; Garchinger_Heide_X18III2; Garchinger_Heide_X18III3; Garchinger_Heide_X18M01; Garchinger_Heide_X18M02; Garchinger_Heide_X18M03; Garchinger_Heide_X18M04; Garchinger_Heide_X18M05; Garchinger_Heide_X18M06; Garchinger_Heide_X18M07; Garchinger_Heide_X18M08; Garchinger_Heide_X18M09; Garchinger_Heide_X18M10; Garchinger_Heide_X18M11; Garchinger_Heide_X18M12; Garchinger_Heide_X18M13; Garchinger_Heide_X18M14; Garchinger_Heide_X18M15; Garchinger_Heide_X18M16; Garchinger_Heide_X18M17; Garchinger_Heide_X18M18; Garchinger_Heide_X18N01; Garchinger_Heide_X18N02; Garchinger_Heide_X18N03; Garchinger_Heide_X18N04; Garchinger_Heide_X18N05; Garchinger_Heide_X18N06; Garchinger_Heide_X18S01; Garchinger_Heide_X18S02; Garchinger_Heide_X18S03; Garchinger_Heide_X18S04; Garchinger_Heide_X18S05; Garchinger_Heide_X18S06; Garchinger_Heide_X18S07; Garchinger_Heide_X18S08; Garchinger_Heide_X18S09; Garchinger_Heide_X18S10; Garchinger_Heide_X18S11; Garchinger_Heide_X18S12; Garchinger_Heide_X18S13; Garchinger_Heide_X18S14; Garchinger_Heide_X18S15; Garchinger_Heide_X18S16; Garchinger_Heide_X18S17; Garchinger_Heide_X18S18; Garchinger_Heide_X73I1; Garchinger_Heide_X73I10; Garchinger_Heide_X73I11; Garchinger_Heide_X73I12; Garchinger_Heide_X73I13; Garchinger_Heide_X73I14; Garchinger_Heide_X73I15; Garchinger_Heide_X73I16; Garchinger_Heide_X73I17; Garchinger_Heide_X73I18; Garchinger_Heide_X73I19; Garchinger_Heide_X73I2; Garchinger_Heide_X73I20; Garchinger_Heide_X73I21; Garchinger_Heide_X73I22; Garchinger_Heide_X73I23; Garchinger_Heide_X73I24; Garchinger_Heide_X73I25; Garchinger_Heide_X73I26; Garchinger_Heide_X73I27; Garchinger_Heide_X73I3; Garchinger_Heide_X73I4; Garchinger_Heide_X73I5; Garchinger_Heide_X73I6; Garchinger_Heide_X73I7; Garchinger_Heide_X73I8; Garchinger_Heide_X73I9; Garchinger_Heide_X73II1; Garchinger_Heide_X73II14; Garchinger_Heide_X73II2; Garchinger_Heide_X73II3; Garchinger_Heide_X73II4; Garchinger_Heide_X73II5; Garchinger_Heide_X73II6; Garchinger_Heide_X73II7; Garchinger_Heide_X73II8; Garchinger_Heide_X73III1; Garchinger_Heide_X73III16; Garchinger_Heide_X73III2; Garchinger_Heide_X73III3; Garchinger_Heide_X84I1; Garchinger_Heide_X84I10; Garchinger_Heide_X84I11; Garchinger_Heide_X84I12; Garchinger_Heide_X84I13; Garchinger_Heide_X84I14; Garchinger_Heide_X84I15; Garchinger_Heide_X84I16; Garchinger_Heide_X84I17; Garchinger_Heide_X84I18; Garchinger_Heide_X84I19; Garchinger_Heide_X84I2; Garchinger_Heide_X84I20; Garchinger_Heide_X84I21; Garchinger_Heide_X84I22; Garchinger_Heide_X84I23; Garchinger_Heide_X84I24; Garchinger_Heide_X84I25; Garchinger_Heide_X84I26; Garchinger_Heide_X84I27; Garchinger_Heide_X84I3; Garchinger_Heide_X84I4; Garchinger_Heide_X84I5; Garchinger_Heide_X84I6; Garchinger_Heide_X84I7; Garchinger_Heide_X84I8; Garchinger_Heide_X84I9; Garchinger_Heide_X84II1; Garchinger_Heide_X84II14; Garchinger_Heide_X84II2; Garchinger_Heide_X84II3; Garchinger_Heide_X84II4; Garchinger_Heide_X84II5; Garchinger_Heide_X84II6; Garchinger_Heide_X84II7; Garchinger_Heide_X84II8; Garchinger_Heide_X84III1; Garchinger_Heide_X84III16; Garchinger_Heide_X84III2; Garchinger_Heide_X84III3; Garchinger_Heide_X93I1; Garchinger_Heide_X93I10; Garchinger_Heide_X93I11; Garchinger_Heide_X93I12; Garchinger_Heide_X93I13; Garchinger_Heide_X93I14; Garchinger_Heide_X93I15; Garchinger_Heide_X93I16; Garchinger_Heide_X93I17; Garchinger_Heide_X93I18; Garchinger_Heide_X93I19; Garchinger_Heide_X93I2; Garchinger_Heide_X93I20; Garchinger_Heide_X93I21; Garchinger_Heide_X93I22; Garchinger_Heide_X93I23; Garchinger_Heide_X93I24; Garchinger_Heide_X93I25; Garchinger_Heide_X93I26; Garchinger_Heide_X93I27; Garchinger_Heide_X93I3; Garchinger_Heide_X93I4; Garchinger_Heide_X93I5; Garchinger_Heide_X93I6; Garchinger_Heide_X93I7; Garchinger_Heide_X93I8; Garchinger_Heide_X93I9; Garchinger_Heide_X93II1; Garchinger_Heide_X93II14; Garchinger_Heide_X93II2; Garchinger_Heide_X93II3; Garchinger_Heide_X93II4; Garchinger_Heide_X93II5; Garchinger_Heide_X93II6; Garchinger_Heide_X93II7; Garchinger_Heide_X93II8; Garchinger_Heide_X93III1; Garchinger_Heide_X93III16; Garchinger_Heide_X93III2; Garchinger_Heide_X93III3; Plant species frequency: countings after Raunkiaer (1918); Ratio; Species
    Type: Dataset
    Format: text/tab-separated-values, 14036 data points
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  • 74
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    Current speed and acoustic backscatter data measured with a Bottom Boundary (BOBO) lander at the Gardar Drift in the North Atlantic (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-31
    Description: To monitor particle fluxes and near bottom hydrographic variability a modified version of the benthic Bottom Boundary (BOBO) lander was deployed at 57° 29.09 N, 27° 54.53 W on the Gardar Drift at a water depth of 2630 m. The deployment lasted from 16/09/2007 to 19/09/2008. Current velocity (S and W; cm/s) and acoustic backscatter (counts) were monitored at 15-min intervals using an upward looking RD Instruments 1200-kHz ADCP. These are the data from 6.65 m above the seafloor. Full details about the deployment can be found in Jonkers et al., 2010 (doi:10.1016/j.dsr.2010.05.005).
    Keywords: Acoustic Doppler Current Profiler (ADCP), Teledyne-RDI, 1200 kHz; Backscatter; Benthic bottom boundary lander; BOBO lander; contourite; current meter; Current velocity, east-west; Current velocity, north-south; DATE/TIME; Echo intensity, relative; Gardar_Drift
    Type: Dataset
    Format: text/tab-separated-values, 106053 data points
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  • 75
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    Estimated autumn precipitation anomalies in the Central Pyrenees between 1500 and 2002 CE, based on the varved sediments of Lake Montcortès (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: The Mediterranean region is expected to be highly impacted by global warming. To better understand and predict shifts in its current climate system, climate time series covering seasonal-to-century scale climate variability are needed. Here we provide a dataset containing a high-resolution reconstruction of autumn precipitation variability for the Central Pyrenees that spans the 1500-2002 CE period. This dataset is based on calcite sublayer width of varved sediments of lake Montcortès. Sediment cores MON12-3A-1G and MON12-2A-1G were retrieved from the deepest basin of the lake. Large-scale thin sections of sediment (120 mm X 35 mm) were extracted and calcite varve sublaminae counted and characterised. The age-depth model was built by combining varve counting and radiometric dating (210Pb, 137Cs and 14C). Long-term trend of the raw calcite width series was removed with a low pass filter by fitting a cubic smoothing spline of 67% of the series length. To find out how well the smoothed calcite series and instrumental regional precipitation match up with each other, correlation and cross correlation methods were applied. Highest correlation values were obtained with autumn precipitation anomalies for the entire calibration period (1900-2002) and for the two halve subperiods (1910–1956 and 1957–2002). The applied statistical tests yield highly significant results. The obtained regression model explained 15.5% (R2-value for the full calibration period) of the September to November precipitation variability. The obtained transfer function allowed inferring past autumn precipitation from calcium carbonate sublayer thickness at annual resolution. The reconstructed series (PPT-SON) provides the first estimations of regional autumn precipitation shifts in the Central Pyrenees since 1500 CE.
    Keywords: Age model, varve counting; Autumn precipitation; Calculated; Climate warming; Confidence interval lower limit; Confidence interval upper limit; DATE/TIME; Endogenic calcite; Little Ice Age; MON12-2A-1G; MON12-3A-1G; Precipitation anomaly, September-November; Precipitation reconstruction, transfer function-based approach; Ratio; SEDCO; Sediment corer; transfer function; Varve thickness, calcite sub-layer
    Type: Dataset
    Format: text/tab-separated-values, 4004 data points
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  • 76
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    Millennial variations of atmospheric CO2 during the early Holocene (11.7–7.4 ka), based on Siple Dome ice core (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: We present a new high-resolution record of atmospheric CO2 from the Siple Dome ice core, Antarctica over the early Holocene (11.7–7.4 ka) that quantifies natural CO2 variability on millennial timescales under interglacial climate conditions. We reconstructed atmospheric CO2 concentrations with ages between 11.7 and 9.0 ka from the Siple Dome ice core. 247 individual ice samples from 99 depth intervals were measured by needle cracker dry extraction and gas chromatography methods at Seoul National University (SNU). To extend the record to 7.4 ka, we made a composite dataset using a previous CO2 record from the Siple Dome ice core covering 9.0–7.4 ka measured by the needle cracker system at Oregon State University (OSU) (Ahn et al., 2014, https://doi.org/10.1002/2013gl058177). To make a composite record of atmospheric CO2, we tested for bias between the two data sets. Siple Dome samples from 7 depth intervals between 538.55–490. 16 samples were analysed at both laboratories (Ahn et al., 2014, https://doi.org/10.1002/2013gl058177). The SNU measurements were higher than the OSU measurements by 0.3±0.7 ppm (1σ) on average, indicating that the SNU and OSU results agree well. The small offset of 0.3 ppm was added to OSU data before combining them with the SNU results. The Siple Dome samples are placed on the improved Siple Dome chronology developed by Yang et al. (2017, https://doi.org/10.1594/PANGAEA.880561), which is aligned with the Greenland Ice Core Chronology, 2005 (GICC05) using the synchronization of CH4 and δ18Oatm time series.
    Keywords: AGE; Antarctica; carbon dioxide; Carbon dioxide; Carbon dioxide, standard error; DEPTH, ice/snow; Early Holocene; Ice_core_diverse; Ice core; ICEDRILL; Ice drill; Reference/source; Sampling/drilling ice; Siple_Dome; Siple Coast; Siple Dome
    Type: Dataset
    Format: text/tab-separated-values, 612 data points
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  • 77
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    Rock temperature variability in the alpine cryosphere (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: In a context of cryosphere degradation caused by climate warming, rock temperature is one of the main driving factors of rockfalls that occur on high-elevation mountain slopes. In order to improve the knowledge of this critical relationship, it is necessary to increase measurement capability of rock temperature and its variability in different lithological and slope/aspect conditions, and also to increase local scale studies, increasing the quality and the comparability of the data. Rock temperature data, acquired from July 2018 to July 2022 in an alpine experimental glacial basin (https://deims.org/f8718e56-fb4d-49a3-92a9-3670e7f10ee9), in different two temperature monitoring sites (TMS) with the same lithological conditions (calc-schists) but in two different aspect conditions (South and North), at an elevation range from 2653 to 2667 m a.s.l, are present. The temperature data have been acquired by using six MadgeTech MicroTemp Data Logger (MT), metrologically referenced and with known measurement uncertainty (0.098 °C).
    Keywords: Bessanese_TMS1; Bessanese_TMS3; Bessanese high-elevation experimental site; DATE/TIME; Elevation of event; European Alps; Event label; Italy; Latitude of event; Longitude of event; measurement uncertainty; Miniaturized temperature logger; MTL; Rockfall; rock temperature; Temperature, in rock/sediment; Temperature logger, MicroTemp (MadgeTech)
    Type: Dataset
    Format: text/tab-separated-values, 316206 data points
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  • 78
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    Blank data for beryllium measurements (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Keywords: Accelerator mass spectrometry (AMS); Beryllium-10/Beryllium-9, uncertainty; Beryllium-10/Beryllium-9 ratio; Caribbean; Cosmogenic nuclide; cosmogenic radionuclides; DATE/TIME; erosion; erosion rate; Identification; Sample comment; Sample ID; Tropical; tropics
    Type: Dataset
    Format: text/tab-separated-values, 36 data points
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  • 79
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    Salt tracer measurement in the Jamtal valley (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Keywords: DATE/TIME; Discharge; GLAC; Glaciers Austria; Hidden.Ice; Hidden.Ice – Changing debris cover on Eastern Alpine glaciers: Quantification and hydrological impacts; Jamtalferner; JTF; LTER; Salt dilution, runoff; Sampling/measurements on glacier; Silvretta, Eastern Alps, Austria
    Type: Dataset
    Format: text/tab-separated-values, 40 data points
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  • 80
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    Water level and flow velocity in the Jamtal valley, 2019 (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Keywords: DATE/TIME; Discharge; Flow velocity, water; GLAC; Glaciers Austria; Hidden.Ice; Hidden.Ice – Changing debris cover on Eastern Alpine glaciers: Quantification and hydrological impacts; Jamtalferner; JTF; LTER; Sampling/measurements on glacier; Silvretta, Eastern Alps, Austria; Water level
    Type: Dataset
    Format: text/tab-separated-values, 69700 data points
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  • 81
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    Water level and flow velocity in the Jamtal valley, 2021 (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Keywords: DATE/TIME; Discharge; Flow velocity, water; GLAC; Glaciers Austria; Hidden.Ice; Hidden.Ice – Changing debris cover on Eastern Alpine glaciers: Quantification and hydrological impacts; Jamtalferner; JTF; LTER; Sampling/measurements on glacier; Silvretta, Eastern Alps, Austria; Water level
    Type: Dataset
    Format: text/tab-separated-values, 87248 data points
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  • 82
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    Stable carbon and oxygen isotope ratios of planktic foraminifera of sediment core MD03-2707 (120-138 ka) (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Keywords: AGE; benthic and planktonic foraminifers; carbon isotope anomaly; eastern equaterial Atlantic; Globigerinoides ruber pink, δ18O; MD03-2707; oyxgen and carbon isotopes; PC; Piston corer; Sea surface temperature; SST from Mg/Ca ratios; trace elements; δ18O, seawater, reconstructed
    Type: Dataset
    Format: text/tab-separated-values, 270 data points
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  • 83
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    Laboratory particle size measurements of hollow glass microsphere products 'Potters 25P45' and '3M K1' (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: We commissioned laboratory evaluations of several available hollow glass microsphere products. Particle Technology Laboratories made particle size measurements for 3M™ K1 and Potters Sphericel™ 25P45 hollow glass microspheres (HGMs). The measurements were made in August 2020 at PTL's laboratory in Downers Grove, IL. The purpose of the measurements was to evaluate widely available hollow glass microsphere materials obtainable from multiple sources for effectiveness in reducing ice melt. A further purpose was to select materials for evaluation in field experiments and to compare size distributions. A further purpose was to determine the percentage of particles below 10 microns for evaluation for safety. A further purpose was to compare particle size measurements with reflectivity measurements. The measurements were made by laser diffraction using a Malvern Mastersizer 3000 (Particle Technology Laboratories, Downers Grove, IL). Particles were delivered with dry sample introduction due to the buoyancy of the particles in typical solvents used for particle size measurement. The lowest venturi setting was used to avoid damage and breakage to the microspheres during sample measurement. Optical microscopy of the samples after particle size measurement confirmed the integrity of the particles through the laser diffraction measurement.
    Keywords: Grain size, Mastersizer 3000, Malvern Instrument Inc.; Ice Melt; Laboratory Test; Material; Number; Particles; Particle size; Pond Test; Quantitative Measurement; SAM; Surface Albedo Modification; Temperature; Volume
    Type: Dataset
    Format: text/tab-separated-values, 1010 data points
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  • 84
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    Pond measurements of ice and snow thickness, temperature profile and solar radiation in 2021, close to Lake Elmo (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Continuous observations were made of ice thickness, snow thickness, ice, and water temperatures at 1 ft increments of levels in the pond from surface to bottom, ambient temperatures above the ice surface, incoming shortwave and longwave radiation of the test and control sections. The observations were made from January 13, 2021 to March 20th 2021. The pond used for these observations is situated near Lake Elmo, Minnesota, USA. The pond consists of an artificial excavation lined with 0.045 EDPM film over a geofabric base. The shape is essentially conical with a nominal diameter of 100 ft, depth of 6 ft, and a slope of 1 to 4. A simple bisection using plastic sheeting was made to provide for a single control section and a single test section. The data was collected to experimentally determine effects of surface albedo modification on ice melt and thermodynamic processes of a freshwater pond. In this experiment we applied a coating of reflective hollow glass microspheres to a test section, while leaving a control section unmodified. The data was used to compare the rates of ice melt, albedo and pond water and ice temperatures and energy changes of the test and control section to determine the effectiveness of the surface albedo modification using hollow glass microspheres. To collect data, we used nominally identical sets of instruments for the test and control sides of the pond, to measure temperature, incoming and reflected longwave and shortwave radiation, ice thickness. Each suite was made up of a Raspberry Pi 4B+, two strings of DS18B20 temperature sensors, an apogee SN-500 net radiometer as well as an ice thickness gauge made up of an upwards facing blue robotics Ping sonar positioned in the water below the ice and a snow thickness gauge made up of a downwards facing MaxBotix in-air ultrasonic sensor. The radiometers were positioned on suspension cables along the southwest-northeast axis of the pond about 1 m above the ice and about 4,5 m from the center of the pond. The ice thickness gauges were each positioned about 3.3 meters from the pond center, towards the north on the control side and towards the west on the test side. The temperature sensor strings were of different lengths and designed to measure the temperature of the water in the deeper and more shallow areas of the pond. The longer string used for the deeper, more central area was made up of 7 temperature sensors, one in air close to the termination at the Raspberry Pi, and then 6 others coming up from the bottom each spaced about a foot from one another. The deep sensor strings were deployed through holes drilled in the ice about 2.4 m from the center in the southwest and northeast directions. The strings were positioned so that the topmost sensor of the bottom 6 was at the ice-air interface when testing began in January, and the bottom most sensor was weighed down and close to the bottom.. The shorter temperature sensor string was made up of 4 temperature sensors, each spaced about a foot from one another and positioned closer to the edge of the pond where the topmost sensor was at the ice-air interface and the bottom sensor was close to the bottom. These shallower sensor strings were again deployed via holes drilled in the ice, at about 5.5 m from the pond center in the same directions.
    Keywords: Albedo, fraction; DATE/TIME; Date/Time local; Digital thermometer (DS18B20, Maxim Integrated Products); Four component net radiometer SN-500 (Apogee, Utah); Ice Melt; Ice thickness; Laboratory Test; Long-wave radiation; MULT; Multiple investigations; Pond_NearLakeElmo_2021; Pond Test; Quantitative Measurement; SAM; Short-wave radiation; Snow depth; Sonic height ranger, MaxBotix HRXL MaxSonar WRS; Surface Albedo Modification; Temperature; Temperature, air; Temperature, water; Upward looking sonar (ULS)
    Type: Dataset
    Format: text/tab-separated-values, 348137 data points
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  • 85
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    Laboratory particle reflectivity measurements of hollow glass microsphere products 'Potters 25P45' and '3M K1' (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: We commissioned laboratory evaluations of several available hollow glass microsphere products. Covalent Metrology made reflectivity measurements for 3M™ K1 and Potters Sphericel™ 25P45 hollow glass microspheres (HGMs). The measurements were made from August 25 to September 11, 2020 at Covalent Metrology in Sunnyvale, CA. The purpose of the measurements was to evaluate widely available hollow glass microsphere materials obtainable from multiple sources for effectiveness in reducing ice melt. A further purpose was to select materials for evaluation in field experiments and compare laboratory results with results from field experiments. A further purpose was to determine the effect of water on reflectivity. While the particles are known to have high reflectivity in their dry state, it was unknown how much the reflectivity might decrease if particles are embedded in the ice or on the surface of water, since the refractive index of water (n=1.33 at 589 nm) is closer to the refractive index of glass (n ~1.52, depending on glass composition) than the refractive index of air (n=1.00). The reflectivity of the HGM materials was measured with a Perkin-Elmer 1050 UV-Vis-NIR Spectrometer at 5 nm resolution using a 150mm integrating sphere to collect the diffuse reflectance. Samples were placed on the reflectance sample plate inside a Spectrosil® Far UV quartz cuvette of fixed pathlength (Starna Type 20 short path length, demountable). To measure the change in reflectivity with varying layer thicknesses of hollow glass microsphere materials, HGM were loaded into cuvettes with pathlengths varying from 0.2mm to 1 mm in thickness. Measurements of the reflectivity of the cuvette were taken on just the cuvette alone, then measurements were made with the cuvette loaded with material. The reflectivity of the cuvette alone was subtracted from these measurements to provide measurements of the material reflectivity. The silica material was loaded into the cuvette and a doctor blade method was used to remove excess material in the well. The cuvette was sealed and placed onto the integrating sphere port with the cuvette well facing the incident light. The HGM material was loaded into the cuvette and a doctor blade method was used to remove excess material in the well. The cuvette was sealed and placed onto the integrating sphere port with the cuvette well facing the incident light. To measure the reflectivity of HGM in water, a few droplets of water were deposited onto the sample after doctor blading, taking care not to disturb or overly saturate the layer. Due to the hydrophilic nature of these materials, the surfaces appeared to be fully wet. The UV-Vis reflectivity of the K1 and 25P45 hollow glass microspheres was measured as a function of optical path length and of the surrounding medium. While the particles are known to have high reflectivity in their dry state, it was unknown how much the reflectivity might decrease if particles are embedded in the ice or on the surface of water as the ice begins to melt, since the refractive index of water (n=1.33 at 589 nm) is closer to the refractive index of glass (n ~1.52, depending on glass composition) than the refractive index of air (n=1.00).
    Keywords: Ice Melt; Laboratory Test; Length; Material; Medium; Pond Test; Quantitative Measurement; Reflectance; SAM; Surface Albedo Modification; Temperature; Test set; UV/Vis/NIR Spectrophotometer, Perkin-Elmer LAMBDA 1050; Wavelength
    Type: Dataset
    Format: text/tab-separated-values, 27060 data points
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  • 86
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    δ18O and δ13C at distance-from-top of stalagmite and Oxcal deposition model interpolated ages with 95% confidence ranges (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Here are presented Mulu, Borneo (4°6'N, 114°53'E) Secret Cave stalagmite SC02 d18O and d13C values over Termination 1, published in Buckingham et al. (2022). This study reports a d18O and d13C record for the portion of SC02 104.1 to 182.4 mm distance from top of stalagmite. The d18O record spans the full deglaciation, and reveals for the first time distinct d18O variations connected with the Bølling-Allerød onset and the Younger Dryas event.
    Keywords: Borneo; Calculated; Calendar age, maximum/old; Calendar age, mean; Calendar age, minimum/young; d13C; d18O; Deglaciation; DISTANCE; Growth rate; Mass spectrometer ThermoFisher Delta V; OxCal 4.4 Poisson-process deposition model feature; precipitation; rain; SC02; Speleothem sample; SPS; stalagmite; Termination I; tropics; Younger Dryas; δ13C, calcite; δ18O, calcite
    Type: Dataset
    Format: text/tab-separated-values, 612 data points
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  • 87
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    Ice surface measurements from Larsen blue ice area, East Antarctica (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Blue ice areas (BIAs) have several advantages for reconstructing past climate. However, the complicated ice flow in the areas hinders constraining the age. We apply state-of-the-art techniques and show that the ages cover the last deglaciation for Larsen BIA. Our study demonstrates that Larsen BIA in Northern Victoria Land helps in reconstructing the past climate during the last deglaciation. This data set presents gas composition (CO2, CH4, N2O, δ18Oatm, δ15N-N2, δO2/N2, δAr/N2), stable water isotopes (δ2Hice, δ18Oice), and the chronology of Larsen BIA. The ice cores were collected in January 2019 in Northern Victoria Land, East Antarctica. Gas composition analysis was conducted at Seoul National University and National Institute of Polar Research. Stable water isotopes were analyzed at Korea Polar Research Institute. Data sets were also published as a supplement of Lee et al. (2022) titled with “Chronostratigraphy of Larsen blue ice area in Northern Victoria Land, East Antarctica, and its implications for paleoclimate”, The Cryosphere.
    Keywords: Age model, WD2014; Antarctic ice core chronology (AICC2012); blue ice area; carbon dioxide; Core section label; d15N-N2; d18Oatm; Deuterium excess; Distance; Ice age; Ice core; Isotope ratio mass spectrometry; Larsen; Larsen_BIA_2019; Methane; nitrous oxide; stable water isotopes; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 742 data points
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  • 88
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    Ice age uncertainty in ice cores from Larsen blue ice area, East Antarctica (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Blue ice areas (BIAs) have several advantages for reconstructing past climate. However, the complicated ice flow in the areas hinders constraining the age. We apply state-of-the-art techniques and show that the ages cover the last deglaciation for Larsen BIA. Our study demonstrates that Larsen BIA in Northern Victoria Land helps in reconstructing the past climate during the last deglaciation. This data set presents gas composition (CO2, CH4, N2O, δ18Oatm, δ15N-N2, δO2/N2, δAr/N2), stable water isotopes (δ2Hice, δ18Oice), and the chronology of Larsen BIA. The ice cores were collected in January 2019 in Northern Victoria Land, East Antarctica. Gas composition analysis was conducted at Seoul National University and National Institute of Polar Research. Stable water isotopes were analyzed at Korea Polar Research Institute. Data sets were also published as a supplement of Lee et al. (2022) titled with “Chronostratigraphy of Larsen blue ice area in Northern Victoria Land, East Antarctica, and its implications for paleoclimate”, The Cryosphere.
    Keywords: blue ice area; carbon dioxide; d15N-N2; d18Oatm; Ice age; Ice age, standard deviation; Ice core; Larsen; Larsen_BIA_2019; Methane; nitrous oxide; stable water isotopes
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 89
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    Properties of ice core #23 from Larsen blue ice area, East Antarctica (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Blue ice areas (BIAs) have several advantages for reconstructing past climate. However, the complicated ice flow in the areas hinders constraining the age. We apply state-of-the-art techniques and show that the ages cover the last deglaciation for Larsen BIA. Our study demonstrates that Larsen BIA in Northern Victoria Land helps in reconstructing the past climate during the last deglaciation. This data set presents gas composition (CO2, CH4, N2O, δ18Oatm, δ15N-N2, δO2/N2, δAr/N2), stable water isotopes (δ2Hice, δ18Oice), and the chronology of Larsen BIA. The ice cores were collected in January 2019 in Northern Victoria Land, East Antarctica. Gas composition analysis was conducted at Seoul National University and National Institute of Polar Research. Stable water isotopes were analyzed at Korea Polar Research Institute. Data sets were also published as a supplement of Lee et al. (2022) titled with “Chronostratigraphy of Larsen blue ice area in Northern Victoria Land, East Antarctica, and its implications for paleoclimate”, The Cryosphere.
    Keywords: Age model, WD2014; Antarctic ice core chronology (AICC2012); blue ice area; carbon dioxide; d15N-N2; d18Oatm; DEPTH, ice/snow; Deuterium excess; Ice age; Ice core; Isotope ratio mass spectrometry; Larsen; Larsen_BIA_2019; Methane; nitrous oxide; stable water isotopes; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 260 data points
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  • 90
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    Unknown
    Ice properties at core depth 1.95 m in ice cores from Larsen blue ice area, East Antarctica (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Blue ice areas (BIAs) have several advantages for reconstructing past climate. However, the complicated ice flow in the areas hinders constraining the age. We apply state-of-the-art techniques and show that the ages cover the last deglaciation for Larsen BIA. Our study demonstrates that Larsen BIA in Northern Victoria Land helps in reconstructing the past climate during the last deglaciation. This data set presents gas composition (CO2, CH4, N2O, δ18Oatm, δ15N-N2, δO2/N2, δAr/N2), stable water isotopes (δ2Hice, δ18Oice), and the chronology of Larsen BIA. The ice cores were collected in January 2019 in Northern Victoria Land, East Antarctica. Gas composition analysis was conducted at Seoul National University and National Institute of Polar Research. Stable water isotopes were analyzed at Korea Polar Research Institute. Data sets were also published as a supplement of Lee et al. (2022) titled with “Chronostratigraphy of Larsen blue ice area in Northern Victoria Land, East Antarctica, and its implications for paleoclimate”, The Cryosphere.
    Keywords: Age model, WD2014; Antarctic ice core chronology (AICC2012); blue ice area; carbon dioxide; Core section number; d15N-N2; d18Oatm; Deuterium excess; Distance; Ice age; Ice core; Isotope ratio mass spectrometry; Larsen; Larsen_BIA_2019; Methane; nitrous oxide; stable water isotopes; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 315 data points
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  • 91
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    Unknown
    Gas age uncertainty in ice cores from Larsen blue ice area, East Antarctica (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Blue ice areas (BIAs) have several advantages for reconstructing past climate. However, the complicated ice flow in the areas hinders constraining the age. We apply state-of-the-art techniques and show that the ages cover the last deglaciation for Larsen BIA. Our study demonstrates that Larsen BIA in Northern Victoria Land helps in reconstructing the past climate during the last deglaciation. This data set presents gas composition (CO2, CH4, N2O, δ18Oatm, δ15N-N2, δO2/N2, δAr/N2), stable water isotopes (δ2Hice, δ18Oice), and the chronology of Larsen BIA. The ice cores were collected in January 2019 in Northern Victoria Land, East Antarctica. Gas composition analysis was conducted at Seoul National University and National Institute of Polar Research. Stable water isotopes were analyzed at Korea Polar Research Institute. Data sets were also published as a supplement of Lee et al. (2022) titled with “Chronostratigraphy of Larsen blue ice area in Northern Victoria Land, East Antarctica, and its implications for paleoclimate”, The Cryosphere.
    Keywords: blue ice area; carbon dioxide; d15N-N2; d18Oatm; Gas age; Gas age, standard deviation; Ice core; Larsen; Larsen_BIA_2019; Methane; nitrous oxide; stable water isotopes
    Type: Dataset
    Format: text/tab-separated-values, 24 data points
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  • 92
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    CO2 in ice core #23 from Larsen blue ice area, East Antarctica (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Blue ice areas (BIAs) have several advantages for reconstructing past climate. However, the complicated ice flow in the areas hinders constraining the age. We apply state-of-the-art techniques and show that the ages cover the last deglaciation for Larsen BIA. Our study demonstrates that Larsen BIA in Northern Victoria Land helps in reconstructing the past climate during the last deglaciation. This data set presents gas composition (CO2, CH4, N2O, δ18Oatm, δ15N-N2, δO2/N2, δAr/N2), stable water isotopes (δ2Hice, δ18Oice), and the chronology of Larsen BIA. The ice cores were collected in January 2019 in Northern Victoria Land, East Antarctica. Gas composition analysis was conducted at Seoul National University and National Institute of Polar Research. Stable water isotopes were analyzed at Korea Polar Research Institute. Data sets were also published as a supplement of Lee et al. (2022) titled with “Chronostratigraphy of Larsen blue ice area in Northern Victoria Land, East Antarctica, and its implications for paleoclimate”, The Cryosphere.
    Keywords: blue ice area; carbon dioxide; Carbon dioxide; d15N-N2; d18Oatm; DEPTH, ice/snow; Ice core; Isotope ratio mass spectrometry; Larsen; Larsen_BIA_2019; Methane; nitrous oxide; stable water isotopes
    Type: Dataset
    Format: text/tab-separated-values, 102 data points
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  • 93
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    Unknown
    Delta age in ice cores from Larsen blue ice area, East Antarctica (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Blue ice areas (BIAs) have several advantages for reconstructing past climate. However, the complicated ice flow in the areas hinders constraining the age. We apply state-of-the-art techniques and show that the ages cover the last deglaciation for Larsen BIA. Our study demonstrates that Larsen BIA in Northern Victoria Land helps in reconstructing the past climate during the last deglaciation. This data set presents gas composition (CO2, CH4, N2O, δ18Oatm, δ15N-N2, δO2/N2, δAr/N2), stable water isotopes (δ2Hice, δ18Oice), and the chronology of Larsen BIA. The ice cores were collected in January 2019 in Northern Victoria Land, East Antarctica. Gas composition analysis was conducted at Seoul National University and National Institute of Polar Research. Stable water isotopes were analyzed at Korea Polar Research Institute. Data sets were also published as a supplement of Lee et al. (2022) titled with “Chronostratigraphy of Larsen blue ice area in Northern Victoria Land, East Antarctica, and its implications for paleoclimate”, The Cryosphere.
    Keywords: Age, difference; Age, difference error; Age model, WD2014; blue ice area; carbon dioxide; Core section number; d15N-N2; d18Oatm; Distance; Gas age; Ice core; Larsen; Larsen_BIA_2019; Methane; nitrous oxide; stable water isotopes
    Type: Dataset
    Format: text/tab-separated-values, 170 data points
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  • 94
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    Unknown
    CO2 in ice cores at core depth 1.95 m from Larsen blue ice area, East Antarctica (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Blue ice areas (BIAs) have several advantages for reconstructing past climate. However, the complicated ice flow in the areas hinders constraining the age. We apply state-of-the-art techniques and show that the ages cover the last deglaciation for Larsen BIA. Our study demonstrates that Larsen BIA in Northern Victoria Land helps in reconstructing the past climate during the last deglaciation. This data set presents gas composition (CO2, CH4, N2O, δ18Oatm, δ15N-N2, δO2/N2, δAr/N2), stable water isotopes (δ2Hice, δ18Oice), and the chronology of Larsen BIA. The ice cores were collected in January 2019 in Northern Victoria Land, East Antarctica. Gas composition analysis was conducted at Seoul National University and National Institute of Polar Research. Stable water isotopes were analyzed at Korea Polar Research Institute. Data sets were also published as a supplement of Lee et al. (2022) titled with “Chronostratigraphy of Larsen blue ice area in Northern Victoria Land, East Antarctica, and its implications for paleoclimate”, The Cryosphere.
    Keywords: blue ice area; carbon dioxide; Carbon dioxide; Core section number; d15N-N2; d18Oatm; Ice core; Isotope ratio mass spectrometry; Larsen; Larsen_BIA_2019; Methane; nitrous oxide; stable water isotopes
    Type: Dataset
    Format: text/tab-separated-values, 70 data points
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  • 95
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    Temperature and accumulation rate in ice cores from Larsen blue ice area, East Antarctica (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Blue ice areas (BIAs) have several advantages for reconstructing past climate. However, the complicated ice flow in the areas hinders constraining the age. We apply state-of-the-art techniques and show that the ages cover the last deglaciation for Larsen BIA. Our study demonstrates that Larsen BIA in Northern Victoria Land helps in reconstructing the past climate during the last deglaciation. This data set presents gas composition (CO2, CH4, N2O, δ18Oatm, δ15N-N2, δO2/N2, δAr/N2), stable water isotopes (δ2Hice, δ18Oice), and the chronology of Larsen BIA. The ice cores were collected in January 2019 in Northern Victoria Land, East Antarctica. Gas composition analysis was conducted at Seoul National University and National Institute of Polar Research. Stable water isotopes were analyzed at Korea Polar Research Institute. Data sets were also published as a supplement of Lee et al. (2022) titled with “Chronostratigraphy of Larsen blue ice area in Northern Victoria Land, East Antarctica, and its implications for paleoclimate”, The Cryosphere.
    Keywords: Accumulation rate in ice equivalent per year; AGE; blue ice area; carbon dioxide; Core section number; d15N-N2; d18Oatm; Ice core; Larsen; Larsen_BIA_2019; Methane; nitrous oxide; stable water isotopes; Temperature, ice/snow; Temperature, uncertainty
    Type: Dataset
    Format: text/tab-separated-values, 170 data points
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  • 96
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    Basic information (row identifier) of the DOK long-term field experiment (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Keywords: alkaline phosphatase activity; Block; Clay; composted manure; Depth, bottom/max; DEPTH, soil; Depth, top/min; farming systems; long−term field experiment; Number; organic matter input quality; Plot; Replicates; soil basal respiration; soil microbial biomass; soil organic carbon; SOILS; Soil sample; Subplot; Switzerland; Therwil_DOK_trial; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 1056 data points
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  • 97
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    Gas properties at core depth 1.95 m in ice cores from Larsen blue ice area, East Antarctica (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Blue ice areas (BIAs) have several advantages for reconstructing past climate. However, the complicated ice flow in the areas hinders constraining the age. We apply state-of-the-art techniques and show that the ages cover the last deglaciation for Larsen BIA. Our study demonstrates that Larsen BIA in Northern Victoria Land helps in reconstructing the past climate during the last deglaciation. This data set presents gas composition (CO2, CH4, N2O, δ18Oatm, δ15N-N2, δO2/N2, δAr/N2), stable water isotopes (δ2Hice, δ18Oice), and the chronology of Larsen BIA. The ice cores were collected in January 2019 in Northern Victoria Land, East Antarctica. Gas composition analysis was conducted at Seoul National University and National Institute of Polar Research. Stable water isotopes were analyzed at Korea Polar Research Institute. Data sets were also published as a supplement of Lee et al. (2022) titled with “Chronostratigraphy of Larsen blue ice area in Northern Victoria Land, East Antarctica, and its implications for paleoclimate”, The Cryosphere.
    Keywords: Age model, WD2014; Antarctic ice core chronology (AICC2012); blue ice area; carbon dioxide; Carbon dioxide; Core section number; d15N-N2; d18Oatm; Distance; Gas age; Ice core; Isotope ratio mass spectrometry; Larsen; Larsen_BIA_2019; Methane; nitrous oxide; Nitrous oxide; stable water isotopes; δ15N, gas; δ18O; δ Argon/Nitrogen ratio; δ Oxygen/Nitrogen ratio
    Type: Dataset
    Format: text/tab-separated-values, 383 data points
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  • 98
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    Gas properties in ice core #23 from Larsen blue ice area, East Antarctica (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Blue ice areas (BIAs) have several advantages for reconstructing past climate. However, the complicated ice flow in the areas hinders constraining the age. We apply state-of-the-art techniques and show that the ages cover the last deglaciation for Larsen BIA. Our study demonstrates that Larsen BIA in Northern Victoria Land helps in reconstructing the past climate during the last deglaciation. This data set presents gas composition (CO2, CH4, N2O, δ18Oatm, δ15N-N2, δO2/N2, δAr/N2), stable water isotopes (δ2Hice, δ18Oice), and the chronology of Larsen BIA. The ice cores were collected in January 2019 in Northern Victoria Land, East Antarctica. Gas composition analysis was conducted at Seoul National University and National Institute of Polar Research. Stable water isotopes were analyzed at Korea Polar Research Institute. Data sets were also published as a supplement of Lee et al. (2022) titled with “Chronostratigraphy of Larsen blue ice area in Northern Victoria Land, East Antarctica, and its implications for paleoclimate”, The Cryosphere.
    Keywords: Age model, WD2014; Antarctic ice core chronology (AICC2012); blue ice area; carbon dioxide; Carbon dioxide; d15N-N2; d18Oatm; DEPTH, ice/snow; Gas age; Ice core; Isotope ratio mass spectrometry; Larsen; Larsen_BIA_2019; Methane; nitrous oxide; Nitrous oxide; stable water isotopes; δ15N, gas; δ18O; δ Argon/Nitrogen ratio; δ Oxygen/Nitrogen ratio
    Type: Dataset
    Format: text/tab-separated-values, 383 data points
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  • 99
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    Meteorological measurements in 2021, close to Lake Elmo (2022)
    PANGAEA
    Details
    Publication Date: 2023-02-01
    Description: Continuous observations were made of weather conditions at the pond, including temperature, wind velocity, wind direction, solar radiation, humidity, and rainfall. The observations were made from February 3rd, 2021 to March 21th 2021, The pond used for these observations is situated in Lake Elmo, Minnesota, USA, the pond center located at 45.0220, -92.8916. An Ambient Weather Model WS-2902C observing station was situated on the North-East side of the pond, about 2 m from the nominal shoreline. The data was collected to experimentally determine effects of surface albedo modification on ice melt and thermodynamic processes of a freshwater pond. In this experiment we applied a coating of reflective hollow glass microspheres to a test section, while leaving a control section unmodified. The data was used to develop a thermodynamic model of the pond using weather conditions to model heat flows and to confirm snowfall events. The Ambient Weather observing station transmits its readings via WiFi to a WS-2902C receiver which is connected wirelessly to the Internet, and the readings are stored for one year. These data points were downloaded and processed.
    Keywords: AWS_NearLakeElmo_2021; DATE/TIME; Dew/frost point; Humidity, relative; Ice Melt; Irradiance; Laboratory Test; Pond Test; Precipitation, cumulated; Pressure, atmospheric; Quantitative Measurement; SAM; Surface Albedo Modification; Temperature; Temperature, air; Weather_STA1; Weather station, Ambient Weather, WS-2902C; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 9024 data points
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  • 100
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    Water level and flow velocity in the Jamtal valley, 2020 (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Keywords: DATE/TIME; Discharge; Flow velocity, water; GLAC; Glaciers Austria; Hidden.Ice; Hidden.Ice – Changing debris cover on Eastern Alpine glaciers: Quantification and hydrological impacts; Jamtalferner; JTF; LTER; Sampling/measurements on glacier; Silvretta, Eastern Alps, Austria; Water level
    Type: Dataset
    Format: text/tab-separated-values, 105452 data points
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