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  • PANGAEA  (421,807)
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  • 101
    Publication Date: 2024-02-23
    Description: Time series of currents, salinity (conductivity), temperature Chlorophyl-a and CDOM were obtained in the period May- June 2014 by use of a McLane ice-tethered profiler in Young Sound, Greenland. At YS05 (74.238 N, 20.188 W) the mooring consisted of a 600 kHz downward-looking Nortek Aquadopp ADCP and an SBE 52-MP CTD (accuracy temperature ±0.002 C and conductivity ±0.0003 Sm-1) and WetLab ECO triplet (Cholorphyll-a and CDOM). Velocities were corrected for magnetic deviation (18.5o). The water column sampling spanned between 1.5 and 30 m depth every 30 min. The ADCP was set to sample 80 bins (bin size of 0.5 m) and each bin consisted of a 1 min ensemble average of 60 pings. The first and last bins were centred at 1m and 41 m depth. Only bins between 2.5 and 30 m were adequately measured. For further details see Boone et al., 2017 (Circulation and fjord-shelf exchange during the ice-covered period in Young Sound-Tyrolerfjord, Northwest Greenland (74 N). Estuar. Coast. Shelf Sci., 15, 194-205. https://doi.org/10.1016/j.ecss.2017.06.021).
    Keywords: Current velocity, east-west; Current velocity, north-south; DATE/TIME; DEPTH, water; Event label; Fluorescence, chlorophyll; Fluorescence, colored dissolved organic matter; Fluorometer, WET Labs ECO 3-Triplet; Hydrographic time series; ice-covered conditions; LATITUDE; LONGITUDE; MOOR; Moored Profiler CTD, Sea-Bird, SBE 52-MP; Mooring; Nortek Acoustic Wave and Current Profiler (AWAC); Pressure, water; Salinity; Temperature, water; Young Sound, Greenland; Young Sound-Greenland; YS05
    Type: Dataset
    Format: text/tab-separated-values, 284915 data points
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  • 102
    Publication Date: 2024-02-23
    Description: CTD data was obtained in the period April-June 2014 in Young Sound, Greenland. CTD casts were performed using an SBE-19 plus CTD (accuracy: ±0.005 C and ±0.0005 Sm-1) which was lowered through ice-drilled holes. In total, 4 transects were performed and covered from the mouth to the head of the fjord. Standardized routines of Seabird software were used on the data set for quality control and bin averaging. The data sets consist of profiles of practical salinity, temperature, potential temperature, dissolved oxygen, fluorescence, turbidity, and irradiance (PAR). For further details see Boone et al., 2017 (Circulation and fjord-shelf exchange during the ice-covered period in Young Sound-Tyrolerfjord, Northwest Greenland (74o N). Estuar. Coast. Shelf Sci., 15, 194-205. https://doi.org/10.1016/j.ecss.2017.06.021).
    Keywords: CTD, Sea-Bird, SBE 19plus; CTD data; DATE/TIME; DEPTH, water; Event label; Fluorescence; ice-covered conditions; LATITUDE; LONGITUDE; Oxygen, dissolved; Pressure, water; Radiation, photosynthetically active; Salinity; Sample elevation; Temperature, water; Temperature, water, potential; Turbidity (Formazin Turbidity Unit); Young Sound, Greenland; Young Sound-Greenland; YS-001; YS-002; YS-003; YS-004; YS-005; YS-006; YS-007; YS-008; YS-009; YS-010; YS-011; YS-012; YS-013; YS-014; YS-015; YS-016; YS-017; YS-018; YS-019; YS-020; YS-021; YS-022; YS-023; YS-024; YS-025; YS-026; YS-027; YS-028; YS-029; YS-030; YS-031; YS-032; YS-033; YS-034; YS-035; YS-036; YS-037; YS-038; YS-039; YS-040; YS-041; YS-042; YS-043; YS-044; YS-045; YS-046; YS-047; YS-048; YS-049; YS-050; YS-051; YS-052; YS-053; YS-054; YS-055; YS-056; YS-057; YS-058; YS-059; YS-060; YS-061; YS-062; YS-063; YS-064; YS-065; YS-066; YS-067; YS-068; YS-069; YS-070; YS-071; YS-072; YS-073; YS-074; YS-075; YS-076; YS-077; YS-078; YS-079; YS-080; YS-081; YS-082; YS-083; YS-084; YS-085; YS-086; YS-087; YS-088; YS-089; YS-090; YS-091; YS-092; YS-093; YS-094; YS-095; YS-096; YS-097; YS-098; YS-099; YS-100; YS-101; YS-102; YS-103; YS-104; YS-105; YS-106; YS-107; YS-108; YS-109; YS-110; YS-111; YS-112; YS-113; YS-114; YS-115; YS-116; YS-117; YS-118; YS-119; YS-120; YS-121; YS-122; YS-123; YS-124; YS-125; YS-126; YS-127; YS-128; YS-129; YS-130; YS-131; YS-132
    Type: Dataset
    Format: text/tab-separated-values, 191889 data points
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  • 103
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    PANGAEA
    In:  GeoSphere Austria
    Publication Date: 2024-02-23
    Keywords: Amount of cloud layer 1; Amount of cloud layer 2; Amount of cloud layer 3; Anemometer; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cloud base height code, layer 1; Cloud base height code, layer 2; Cloud base height code, layer 3; Cloud layer 1; Cloud layer 2; Cloud layer 3; Code; DATE/TIME; Dew/frost point; High cloud; HYGRO; Hygrometer; Low/middle cloud amount; Low cloud; Middle cloud; Monitoring station; MONS; Past weather1; Past weather2; Present weather; SON; Sonnblick; Station pressure; Temperature, air; Thermometer; Total cloud amount; Visibility sensor; Visual observation; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 5666 data points
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  • 104
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    PANGAEA
    In:  GeoSphere Austria
    Publication Date: 2024-02-23
    Keywords: Amount of cloud layer 1; Amount of cloud layer 2; Amount of cloud layer 3; Anemometer; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cloud base height code, layer 1; Cloud base height code, layer 2; Cloud base height code, layer 3; Cloud layer 1; Cloud layer 2; Cloud layer 3; Code; DATE/TIME; Dew/frost point; High cloud; HYGRO; Hygrometer; Low/middle cloud amount; Low cloud; Middle cloud; Monitoring station; MONS; Past weather1; Past weather2; Present weather; SON; Sonnblick; Station pressure; Temperature, air; Thermometer; Total cloud amount; Visibility sensor; Visual observation; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 5309 data points
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  • 105
    Publication Date: 2024-02-23
    Keywords: 35MF20120125, OISO_21, INDIEN SUD 2; AGE; Anhysteretic susceptibility/magnetic susceptibility; Calypso square corer; CASQ; Cryogenic magnetometer, 2G Enterprises; DEPTH, sediment/rock; last deglaciation; magnetic parameters; Magnetic susceptibility; Marion Dufresne (1995); MD12-3396Cq; MD189; mineralogic parameters; Station 6, MD189-3396
    Type: Dataset
    Format: text/tab-separated-values, 730 data points
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  • 106
    Publication Date: 2024-02-23
    Keywords: 35MF20120125, OISO_21, INDIEN SUD 2; AGE; Calypso square corer; CASQ; Clay; DEPTH, sediment/rock; Diatoms; Grain size, Mastersizer S, Malvern Instrument Inc.; last deglaciation; magnetic parameters; Marion Dufresne (1995); MD12-3396Cq; MD189; mineralogic parameters; Silt; Station 6, MD189-3396
    Type: Dataset
    Format: text/tab-separated-values, 372 data points
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  • 107
    Publication Date: 2024-02-23
    Description: Time series data of physical oceanography (seawater conductivity, temperature, pressure, salinity) and ocean current velocities were obtained from mooring M6 on the upper part (500 m isobath) of the continental slope, just east of the Filchner Trough in the southern Weddell Sea in February 2017 - February 2021. The mooring was deployed during the WAPITI expedition on James Clark Ross (JR16004), and recovered during the COSMUS expedition with Polarstern (PS124). The attached archive contains data from 1 RCM7 (24 meters above bottom (mab herafter) and sampling interval (sint hereafter) 2h), 5 SBE56 (25, 59, 74, 126, 202 mab, sint: 120 s), 3 SBE37 (34, 99, 176 mab, sint: 600 s), 1 RDI ADCP 150 kHz (235 mab, upwardlooking, sint: 1h), 1 SBE39 (15 mab, sint: 900s). Mooring diagrams and information about data processing are provided
    Keywords: ADCP; Antarctica; AWI_PhyOce; Continental Slope; Current velocity, east-west; Current velocity, north-south; DATE/TIME; DEPTH, water; Filchner Region; Filchner Trough; GPF 19-2_039, COSMUS; James Clark Ross; JR16004; JR16004_160; JR16004_160, PS124_99-1; LATITUDE; LONGITUDE; M6_MOOR_WeddellSea; M6, M6_MOOR_WeddellSea; MOOR; Mooring; oceanographic moorings; oceanographic time series; Physical Oceanography @ AWI; Polarstern; PS124; PS124_99-1; Temperature and Salinity; WAPITI; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 1014334 data points
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  • 108
    Publication Date: 2024-02-23
    Description: Time series data of physical oceanography (seawater conductivity, temperature, pressure, salinity) and ocean current velocities were obtained from mooring M6 on the upper part (500 m isobath) of the continental slope, just east of the Filchner Trough in the southern Weddell Sea in February 2017 - February 2021. The mooring was deployed during the WAPITI expedition on James Clark Ross (JR16004), and recovered during the COSMUS expedition with Polarstern (PS124). The attached archive contains data from 1 RCM7 (24 meters above bottom (mab herafter) and sampling interval (sint hereafter) 2h), 5 SBE56 (25, 59, 74, 126, 202 mab, sint: 120 s), 3 SBE37 (34, 99, 176 mab, sint: 600 s), 1 RDI ADCP 150 kHz (235 mab, upwardlooking, sint: 1h), 1 SBE39 (15 mab, sint: 900s). Mooring diagrams and information about data processing are provided
    Keywords: ADCP; Antarctica; AWI_PhyOce; Continental Slope; DATE/TIME; DEPTH, water; Filchner Region; Filchner Trough; GPF 19-2_039, COSMUS; James Clark Ross; JR16004; JR16004_160; JR16004_160, PS124_99-1; LATITUDE; LONGITUDE; M6_MOOR_WeddellSea; M6, M6_MOOR_WeddellSea; MOOR; Mooring; oceanographic moorings; oceanographic time series; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS124; PS124_99-1; Salinity; Temperature, water; Temperature and Salinity; WAPITI; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 6733598 data points
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  • 109
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    PANGAEA
    In:  GeoSphere Austria
    Publication Date: 2024-02-23
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Hukseflux, SR30, SN 16078, WRMC No. 75044; Pyranometer, Hukseflux, SR30, SN 6352, WRMC No. 75043; Pyrgeometer, Kipp & Zonen, CGR4, SN 130580, WRMC No. 75045; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9120, WRMC No. 75042; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 809720 data points
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  • 110
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    PANGAEA
    In:  GeoSphere Austria
    Publication Date: 2024-02-23
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Hukseflux, SR30, SN 16078, WRMC No. 75044; Pyranometer, Hukseflux, SR30, SN 6352, WRMC No. 75043; Pyrgeometer, Kipp & Zonen, CGR4, SN 130580, WRMC No. 75045; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9120, WRMC No. 75042; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 807573 data points
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  • 111
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    PANGAEA
    In:  GeoSphere Austria
    Publication Date: 2024-02-23
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Hukseflux, SR30, SN 2302, WRMC No. 75040; Pyranometer, Hukseflux, SR30, SN 6355, WRMC No. 75039; Pyrgeometer, Kipp & Zonen, CGR4, SN 100175, WRMC No. 75041; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9119, WRMC No. 75038; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 807735 data points
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  • 112
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    PANGAEA
    In:  GeoSphere Austria
    Publication Date: 2024-02-23
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Hukseflux, SR30, SN 16078, WRMC No. 75044; Pyranometer, Hukseflux, SR30, SN 6352, WRMC No. 75043; Pyrgeometer, Kipp & Zonen, CGR4, SN 130580, WRMC No. 75045; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9120, WRMC No. 75042; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 810296 data points
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  • 113
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    PANGAEA
    In:  GeoSphere Austria
    Publication Date: 2024-02-23
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Hukseflux, SR30, SN 16078, WRMC No. 75044; Pyranometer, Hukseflux, SR30, SN 6352, WRMC No. 75043; Pyrgeometer, Kipp & Zonen, CGR4, SN 130580, WRMC No. 75045; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9120, WRMC No. 75042; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 713297 data points
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  • 114
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    PANGAEA
    In:  GeoSphere Austria
    Publication Date: 2024-02-23
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Hukseflux, SR30, SN 16078, WRMC No. 75044; Pyranometer, Hukseflux, SR30, SN 6352, WRMC No. 75043; Pyrgeometer, Kipp & Zonen, CGR4, SN 130580, WRMC No. 75045; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9120, WRMC No. 75042; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 832140 data points
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  • 115
    Publication Date: 2024-02-06
    Description: Samples were collected between May and August 1993 with US Coast Gard vessel Polar Sea and RV Polarstern. Multicorers were deployed within the Northeast Water (NEW) Polynya, and subcores of 16.67 cm² area x 3 cm depth were used for subsampling. Further processing of sampling is described in Jensen, 1992.
    Keywords: 115; 119; 138; 145; 155; 165; 179; 18; 217; 231; 232; 234; 258; 30; 32; 59; 60; 77; 80; 95; ARK-IX/2; ARK-IX/3; Basis of event; Campaign of event; Counted; Date/Time of event; Event label; Global Environmental Change: The Northern North Atlantic; Latitude of event; Longitude of event; meiofauna; MULT; Multiple investigations; NEGIS; Nematoda, number of species; NEW Polynya; Northeast Water Polynya; Polarstern; PS25/018; PS25/030; PS25/032; PS25/059; PS25/060; PS25/077; PS25/080; PS25/095; PS25 NEW; PS26/115; PS26/119; PS26/138; PS26/145; PS26/155; PS26/165; PS26/179; PS26/217; PS26/231; PS26/232; PS26/234; PS26/258; PS26 NEW; sediment; SFB313; Species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Station label
    Type: Dataset
    Format: text/tab-separated-values, 4520 data points
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  • 116
    Publication Date: 2024-02-06
    Description: This study examined the growth response of juvenile turbot (Scophthalmus maximus) to diets with graded fishmeal (FM) replacement with plant, animal, and emerging protein sources (PLANT, PAP, and MIX) in comparison to a commercial-like diet (CTRL). The feeding experiment was carried out from April to July 2019 in the Centre for Aquaculture Research (ZAF) at the Alfred Wegener Institute for Polar and Marine research in Bremerhaven, Germany. The juvenile turbot (Scophthalmus maximus) were purchased from France Turbot (L'Épine, France) and acclimated to the recirculating aquaculture system (RAS) for 2 weeks prior to starting the 16 weeks experimental trial. To elucidate the effects of the protein sources and the level of FM replacement on the nutritional status of the fish, glycogen, free glucose and lipid content of liver and muscle tissue were determined at the end of the experiment (t4). Following the procedure described by Keppler and Decker (1988), glycogen content was determined photometrically after enzymatic hydrolysis of glycogen to glucose. Briefly, filet and liver samples (3 individual fish per tank; 15 fish per diet in total) were grinded under liquid nitrogen, and approx. 200 mg tissue was homogenised in 5×volume of icecold 0.6 M perchloric acid (PCA) (w:v). After one cycle of 20 s at 6000 rpm and 3 °C using Precellys 24 (Bertin Technologies, France), samples were sonicated for 2 min at 0 °C and 360 W (Branson Ultrasonics Sonifier 450; Fisher Scientific, Germany), and homogenates were immediately divided for the analysis of total and free glucose concentrations.
    Keywords: by-product; Enzymatic analysis according to Keppler and Decker (1988); Experiment; Fish measuring board; glucose; glycogen; Identification; insect meal; Laboratory balance, Sartorius, Cubis; Laboratory experiment; Lipid; Location; Method comment; Sample ID; Sampling date/time, experiment; Scophthalmus maximus, liver glucose, per wet mass; Scophthalmus maximus, liver glycogen, per wet mass; Scophthalmus maximus, liver mass; Scophthalmus maximus, mass; Scophthalmus maximus, muscle glucose, per wet mass; Scophthalmus maximus, muscle glycogen, per wet mass; Scophthalmus maximus, total length; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Tank number; Time point, descriptive; Treatment; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 1140 data points
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  • 117
    Publication Date: 2024-02-06
    Description: During the Arctic Land Expedition Perma-X in West Alaska (2022-07-28 -- 2022-08-21), several LiDAR scans were acquired using a backpack laser scanning system (GreenValley LiBackpack DGC50). The surveys were carried out on the Baldwin Peninsula and on the Seward Peninsula. The goal of the campaign was to quantify permafrost landscape change by mapping various permafrost thaw features such as thaw slumps, gullies, and degraded ice wedge polygons. These features are predominantly less than 1 km2 in size. The 3D point cloud data from the LiDAR backpack were used to generate Digital Elevation Models (DEMs) of the thaw features. The point cloud processing workflow for these DEMs included point cloud georeferencing, filtering, and ground classification. In total, 15 DEMs were derived at different locations during this campaign. In addition to change detection, the accurate field data are suitable for model parameterization and validation from Earth observation data.
    Keywords: AK-Land_2022_NWAlaska; AK-Land_2022_NWAlaska_BAP22A_01; AK-Land_2022_NWAlaska_BAP22A_02; AK-Land_2022_NWAlaska_BAP22B_01; AK-Land_2022_NWAlaska_BAP22B_03; AK-Land_2022_NWAlaska_BAP22B_04; AK-Land_2022_NWAlaska_BAP22C_01; AK-Land_2022_NWAlaska_BAP22C_02; AK-Land_2022_NWAlaska_BAP22D_01; AK-Land_2022_NWAlaska_BAP22D_02; AK-Land_2022_NWAlaska_BAP22H_01; AK-Land_2022_NWAlaska_BAP22H_02; AK-Land_2022_NWAlaska_CSP22F_01; AK-Land_2022_NWAlaska_CSP22F_02; AK-Land_2022_NWAlaska_CSP22F_03; AK-Land_2022_NWAlaska_CSP22F_04; AWI Arctic Land Expedition; BAP22A; BAP22B; BAP22C; BAP22D; BAP22H; Coordinate reference system; CSP22F; Data type; DATE/TIME; DEM; Event label; Feature; Gear; Ice-wedge Polygons; Identification; LATITUDE; Latitude, northbound; Latitude, southbound; LONGITUDE; Longitude, eastbound; Longitude, westbound; permafrost thaw features; Perma-X; Perma-X Scan Alaska 2022; point clouds; Raster graphic, GeoTIFF format; Raster graphic, GeoTIFF format (File Size); Resolution; Site; Terrestrial laser scanning (TLS); thaw slump; thermo-erosion gullies; Wearable LiDAR Scanning System, GreenValley, LiBackpack DGC50; West Alaska
    Type: Dataset
    Format: text/tab-separated-values, 180 data points
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  • 118
    Publication Date: 2024-02-06
    Description: Multibeam data were collected with RV Polarstern along the route of cruise PS138 and data acquisition was continuously monitored during the survey. Multibeam sonar system was Teledyne/Atlas Hydrosweep DS3. SVPs were retrieved from CTD data from other working groups on board. SVPs were processed with HydrOffice SoundSpeedManager (https://www.hydroffice.org/soundspeed/main) and extended with World Ocean Atlas 18 (https://www.ncei.noaa.gov/archive/accession/NCEI-WOA18). SVP data were applied during acquisition. Multibeam data are unprocessed and may contain outliers and blunders and should not be used for grid calculations and charting projects without further editing. The raw multibeam sonar data in Teledyne/Atlas multibeam processing format (.asd) were recorded with Teledyne/Atlas Parastore software as well as Teledyne Reson format (.s7k) in Teledyne PDS. Raw data files can be processed using software packages like CARIS HIPS/SIPS. For updated vessel configuration files check further details.
    Keywords: ArcWatch-1; Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; CTD/Rosette; CTD-RO; Data file recording distance; Data file recording duration; DATE/TIME; DS3; ELEVATION; Event label; Extracted with MB-System; File content; LATITUDE; LONGITUDE; Multibeam Echosounder; Number of pings; Polarstern; PS138; PS138_0_Underway-28; PS138_115-1; PS138_145-1; PS138_168-1; PS138_172-1; PS138_174-1; PS138_19-1; PS138_193-1; PS138_195-1; PS138_196-1; PS138_201-1; PS138_207-1; PS138_2-1; PS138_218-1; PS138_22-1; PS138_26-1; PS138_40-1; PS138_69-1; PS138_90-1; Ship speed; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; Swath-mapping system Atlas Hydrosweep DS-3
    Type: Dataset
    Format: text/tab-separated-values, 26459 data points
    Location Call Number Expected Availability
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  • 119
    Publication Date: 2024-02-06
    Description: Multibeam data were collected with RV Polarstern along the route of cruise PS137 and data acquisition was continuously monitored during the survey. Multibeam sonar system was Teledyne/Atlas Hydrosweep DS3. SVPs were retrieved from CTD data from other working groups on board. SVPs were processed with HydrOffice SoundSpeedManager (https://www.hydroffice.org/soundspeed/main) and extended with World Ocean Atlas 18 (https://www.ncei.noaa.gov/archive/accession/NCEI-WOA18). SVP data were applied during acquisition. Multibeam data are unprocessed and may contain outliers and blunders and should not be used for grid calculations and charting projects without further editing. The raw multibeam sonar data in Teledyne/Atlas multibeam processing format (.asd) were recorded with Teledyne/Atlas Parastore software as well as Teledyne Reson format (.s7k) in Teledyne PDS. Raw data files can be processed using software packages like CARIS HIPS/SIPS. For updated vessel configuration files check further details.
    Keywords: ALOIS; Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; CTD/Rosette; CTD-RO; CTD-yoyo; Data file recording distance; Data file recording duration; DATE/TIME; DS3; ELEVATION; Event label; Extracted with MB-System; File content; LATITUDE; LONGITUDE; Multibeam Echosounder; Number of pings; Polarstern; PS137; PS137_0_Underway-54; PS137_10-1; PS137_1-1; PS137_12-1; PS137_14-1; PS137_18-1; PS137_22-1; PS137_26-1; PS137_28-1; PS137_33-1; PS137_36-1; PS137_4-1; PS137_41-1; PS137_49-1; PS137_52-1; PS137_55-1; PS137_58-1; PS137_6-1; PS137_61-1; Ship speed; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; Swath-mapping system Atlas Hydrosweep DS-3; Yoyo-CTD
    Type: Dataset
    Format: text/tab-separated-values, 15595 data points
    Location Call Number Expected Availability
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  • 120
    Publication Date: 2024-02-07
    Description: Subsurface nutrients on the Scotian Shelf, an ocean region at the convergence of the subpolar and subtropical western boundary currents (i.e., Labrador Current and Gulf Stream), are chiefly modulated by upstream shelf and slope waters. Yet little is known about long-term fluctuations in the advective transport of nutrients to the shelf. To examine the relationships between subsurface nutrient concentrations and dominant slope water masses at the Scotian Shelf break, we assembled all available hydrographic data (temperature, salinity) and dissolved nutrient data (nitrate, phosphate, silicate) for the period 1975-2020. Hydrographic and nutrient data were extracted from the Fisheries and Oceans Canada (DFO) data archives MEDS (Marine Environmental Data Section Archive; DFO, 2023a) and BioChem (DFO, 2023b; Devine et al., 2014), respectively, and predominantly include data from current DFO programs (e.g., Atlantic Zone Monitoring Program (AZMP)) and legacy datasets. Hydrographic data consist of vertical water column profiles collected using a conductivity-temperature-depth (CTD) profiler, generally mounted to a rosette sampler equipped with Niskin bottles for discrete water and nutrient sampling (Mitchel et al., 2002). Nutrient (nitrate, phosphate, silicate) measurements generally followed well established colorimetric techniques outlined in detail in the AZMP sampling protocol (Mitchell et al., 2002). Only nutrient data that passed initial quality control (i.e., BioChem quality flags of 1 and 0) are included in the datasets provided here (see Devine et al., 2014 for details on quality control (QC) procedures). In addition to hydrographic and nutrient parameters, datasets further include information on designated regions (e.g., WSS: Western Scotian Shelf, CSS: Central Scotian Shelf, ESS: Eastern Scotian Shelf) as defined in Lehmann et al (2023).
    Keywords: Compilation; Cruise/expedition; Data ID; Data source; DATE/TIME; DEPTH, water; hydrography; LATITUDE; Location; LONGITUDE; Nitrate; Northwest Atlantic; nutrients; Phosphate; Salinity; Scotian Shelf; Silicate; Station label; Temperature, water; Uniform resource locator/link to source data file
    Type: Dataset
    Format: text/tab-separated-values, 1457858 data points
    Location Call Number Expected Availability
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  • 121
    Publication Date: 2024-02-07
    Description: Multibeam bathymetry raw data were recorded in the South Atlantic and Indian Ocean during cruise MSM59/2_Transit that took place between 2016-12-26 and 2016-12-28 on a transit from Port Luis, Mauritius to Cape Town, South Africa. Data were collected outside EEZs using a vessel mounted Kongsberg EM122. This data is part of the DAM (German Marine Research Alliance) underway research data project. Underway data are collected continuously on German research vessels and can include data from transits or from the entire cruise and are shared in line with the FAIR principles.
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; EM122; EM122 multibeam echosounder; Event label; Extracted from file; Extracted with MB-System; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; Maria S. Merian; MSM59/2_Transit; MSM59/2_Transit_0_Underway-1; Multibeam; Number of pings; raw data; Ship speed; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude
    Type: Dataset
    Format: text/tab-separated-values, 1676 data points
    Location Call Number Expected Availability
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  • 122
    Publication Date: 2024-02-07
    Description: At each station two vertical net tows were taken from the water column using a 20 μm plankton net (438-030, Hydro-Bios, Kiel, Germany) for analyses of plankton and phycotoxins. The depth of the hauls was fixed to 0 – 30 m. The collected net tow concentrates were adjusted to 1 L with filtered seawater. 150 mL aliquots were filtered under gentle vacuum (〈 0.2 bar) through 1 μm pore-size polycarbonate filters (Whatman, USA) for DNA analysis. DNA from the filters was immediately extracted by using 5% Chelex buffer (Tanabe et al. 2016). For detection of eukaryotic species, universal primers for 18S rRNA gene V7-V9 variable region (18S-V7F: TGGAGYGATHTGTCTGGTTDATTCCG and 18S-V9R: TCACCTACGGAWACCTTGTTACG; modified from Tanabe et al. 2016) were used. The procedures and techniques, applicable to the treatment of the obtained sequences, selection and taxonomic identification of operational taxonomic units (OTUs), were administered according to the workflow described in Dzhembekova et al. (2017). Taxonomic assignment was performed using BLAST against a sequence database downloaded from GenBank.
    Keywords: According to Schoch et al. (2020); Basic Local Alignment Search Tool; BLAST; chlorophyll-a; Code; Country; CTD profile; Date/Time of event; Depth, bottom/max; Depth, top/min; Event label; Genetic lineage; HAB species; Identity; isolated strains; Latitude of event; Location; Longitude of event; MULT; Multiple investigations; net tows; NOC; Nutrient data; PHYCOB; PHYCOB_1; PHYCOB_10; PHYCOB_11; PHYCOB_12; PHYCOB_13; PHYCOB_14; PHYCOB_15; PHYCOB_16; PHYCOB_17; PHYCOB_18; PHYCOB_19; PHYCOB_2; PHYCOB_20; PHYCOB_21; PHYCOB_22; PHYCOB_23; PHYCOB_3; PHYCOB_4; PHYCOB_5; PHYCOB_6; PHYCOB_7; PHYCOB_8; PHYCOB_9; phycotoxins; POC; Provenance/source; Reads; Species; Tübitak Marmara; vitamin B12
    Type: Dataset
    Format: text/tab-separated-values, 8272 data points
    Location Call Number Expected Availability
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  • 123
    Publication Date: 2024-02-07
    Description: 1 L samples for further phytoplankton analysis were collected from Nansen bottles installed on a SeaBird CTD Rosette from 3 layers of the water column (usually surface, termocline and deep chlorophyll maximum). The samples were preserved onboard with 20 mL formaldehyde and concentrated in the laboratory by the sedimentation method down to aprox. 30 mL. The method relies on settling and removing the supernatant in two stages, once every two weeks (Moncheva & Parr, 2010). The determination and counting of species cells in the analyzed sample fraction (1 mL) was performed under the plankton inverted microscope using 20x or 40x objectives (Moncheva, 2008). With the primary data thus obtained, the abundance (cells/L) and wet biomass (mg/m³) were calculated for each species/the highest taxonomic level that was possible to identify. The names of the identified species have been updated according to WORMS (WoRMS Editorial Board, 2022).
    Keywords: Biomass, wet mass per volume; chlorophyll-a; Class; Code; Country; CTD profile; Date; Date/Time of event; Depth, bottom/max; Depth, top/min; Event label; Family; HAB species; Investigator; isolated strains; Kingdom; Latitude of event; Location; Longitude of event; MULT; Multiple investigations; net tows; NOC; Nutrient data; Order; PHYCOB; PHYCOB_1; PHYCOB_10; PHYCOB_11; PHYCOB_12; PHYCOB_13; PHYCOB_14; PHYCOB_15; PHYCOB_16; PHYCOB_17; PHYCOB_18; PHYCOB_19; PHYCOB_2; PHYCOB_20; PHYCOB_21; PHYCOB_22; PHYCOB_23; PHYCOB_3; PHYCOB_4; PHYCOB_5; PHYCOB_6; PHYCOB_7; PHYCOB_8; PHYCOB_9; phycotoxins; Phylum; POC; Provenance/source; Scientific name; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Total counts; Tübitak Marmara; vitamin B12; Year of analysis
    Type: Dataset
    Format: text/tab-separated-values, 35829 data points
    Location Call Number Expected Availability
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  • 124
    Publication Date: 2024-02-07
    Keywords: according to Garcia & Gordon; chlorophyll-a; Comment; Conductivity; CTD profile; DATE/TIME; Density, mass density; Density, sigma-theta (0); Depth, bathymetric; DEPTH, water; Event label; File name; Flag; Fluorescence; HAB species; Investigator; isolated strains; ITS-90, temperature scale; LATITUDE; LI-COR Biospherical PAR Sensor; LONGITUDE; MULT; Multiple investigations; net tows; NOC; Nutrient data; Oxygen, dissolved; Oxygen raw; Oxygen saturation; Oxygen sensor, SBE 43; PHYCOB; PHYCOB_1; PHYCOB_10; PHYCOB_11; PHYCOB_12; PHYCOB_13; PHYCOB_14; PHYCOB_15; PHYCOB_16; PHYCOB_17; PHYCOB_18; PHYCOB_19; PHYCOB_2; PHYCOB_20; PHYCOB_21; PHYCOB_22; PHYCOB_23; PHYCOB_3; PHYCOB_4; PHYCOB_5; PHYCOB_6; PHYCOB_7; PHYCOB_8; PHYCOB_9; phycotoxins; POC; Pressure, water; Quality flag, conductivity; Quality flag, density; Quality flag, fluorescence; Quality flag, irradiance; Quality flag, oxygen; Quality flag, salinity; Quality flag, turbidity; Quality flag, water depth; Quality flag, water pressure; Quality flag, water temperature; Radiation, photosynthetically active; Salinity; Station label; Strain gauge; Temperature, water; Tübitak Marmara; Turbidity (Nephelometric turbidity unit); Turbidity Meter, WET Labs ECO ECO-AFL/F; Type; vitamin B12
    Type: Dataset
    Format: text/tab-separated-values, 237286 data points
    Location Call Number Expected Availability
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  • 125
    Publication Date: 2024-02-07
    Description: Phycotoxins (Fuat Dursun, Bernd Krock): An 8 L aliquot of pooled water from surface water, 10 m depth and the thermocline was filtered through 5 μm polycarbonate filters for azaspiracid and karlotoxin determination. The filters were extracted by repeated rinsing with methanol, the methanolic extracts were transferred to centrifugation filters and filtered at a cutt-off of 0.45 μm by centrifugation. Filtrates were transferred into analytical glass vials for posterior LC-MS/MS determination at AWI. Net tows of each station were combined and ajusted to 1 L with filtrated seawater. Aliquots of 200 mL, 50 mL, and 20 mL were taken for DNA analysis, Cell isolation, and fixation, respectively. The remaining aliquot of the net tow concentrate was filtered through a filter array of 200, 50, and 20 μm meshes. The residue of each mesh was rinsed with filtrated seawater into a centrifugation tube, homogenized by shaking, and divided into two aliquots. Both aliquots of each size fraction were centrifuged at maximum speed for 15 min. After centrifugation, supernatants were decanted and the remaining cell pellets resuspended with a small volume of filtrated seawater and transferred to cryovials containing ceramic beads. The samples were centrifuged again and supernatants carefully removed with a pipette. To one of the two size fraction aliquots 500 μL methanol was added and the same volume of dilute acetic acid to the other. All samples were homogenized with FastPrep instrument by reciprocal shaking at maximum speed and homogenated were centrifuged. After centrifugation, the toxin containing extracts were removed and transferred to centrifugation filters. The extracts were filtered by centrifugation and the filtered extracts were transferred into analytical glass vials for LC-MS/MS and LC-FLD determination, respectively, in the home lab.
    Keywords: chlorophyll-a; CTD profile; Depth, bottom/max; Depth, top/min; Event label; Goniodomin A per net tow; Gonyautoxins 2/3 per net tow; HAB species; isolated strains; Latitude of event; Liquid Chromatography with tandem mass spectrometry (LC-MS/MS); Longitude of event; MULT; Multiple investigations; net tows; NOC; Nutrient data; Pectenotoxin 2 per net tow; Pectenotoxin 2sa per net tow; PHYCOB; PHYCOB_1; PHYCOB_10; PHYCOB_11; PHYCOB_12; PHYCOB_13; PHYCOB_14; PHYCOB_15; PHYCOB_16; PHYCOB_17; PHYCOB_18; PHYCOB_19; PHYCOB_2; PHYCOB_20; PHYCOB_21; PHYCOB_22; PHYCOB_23; PHYCOB_3; PHYCOB_4; PHYCOB_5; PHYCOB_6; PHYCOB_7; PHYCOB_8; PHYCOB_9; phycotoxins; POC; Sample ID; Tübitak Marmara; vitamin B12; Yessotoxin 1061 per net tow; Yessotoxin 1131 per net tow; Yessotoxin 1155 per net tow; Yessotoxin 1173 per net tow; Yessotoxin 1273 per net tow; Yessotoxin 1405 per net tow; Yessotoxin per net tow
    Type: Dataset
    Format: text/tab-separated-values, 322 data points
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  • 126
    Publication Date: 2024-02-07
    Description: Nitrite and nitrate as nitrogen (NO3+NO2), ammonium as nitrogen (NH4+), ortho-phosphate as phosphorus (o-PO4) and silica (SiO2) analyzes were measured by a QuAAtro39 Continuous Segmented Flow Analyzer consisting of an autosampler, a peristaltic pump, a chemistry manifold, a detector and data acquisition software. This protocol is in accordance with standard methods for the examination of water and wastewater. Dissolved oxygen (DO) was measured by using the Winkler method, in which a divalent manganese solution and strong alkali are added sequentially to the samples. Thus, dissolved oxygen rapidly oxidizes an equivalent amount of divalent manganese to basic hydroxides of higher valency states. With the presence of iodide ions in acidic conditions, the oxidized manganese reverts to its divalent state, and meanwhile, the iodine equivalent to the dissolved oxygen in the sample is released. This released iodine is titrated with a standardized thiosulfate solution and the dissolved oxygen value in the sample is calculated by potentiometric measurement using Metrohm 905 Titrando automatic titrator system. Dissolved oxygen samples are taken and analyzed in duplicate. The relative percent difference (RPD) of duplicates did not exceed 4.3% (Average is 0.62%). All results were also compared with the CTD dissolved oxygen data. pH measurements of sea waters were measured in lab by Mettler Toledo SevenMulti pH meter. The pH meter was calibrated every two days with the calibration standards at the values of 7.00 and 9.21. During the measurements, the pH values were recorded together with the current sample temperature values.
    Keywords: Ammonium; Continuous Segmented Flow Analyzer, SEAL Analytical, QuAAtro39; Date/Time of event; DEPTH, water; Event label; Latitude of event; Longitude of event; MULT; Multiple investigations; Nitrate and Nitrite; Nutrient data; Oxygen, dissolved; pH; pH meter, Mettler Toledo, SevenMulti; Phosphate; PHYCOB; PHYCOB_1; PHYCOB_10; PHYCOB_11; PHYCOB_12; PHYCOB_13; PHYCOB_14; PHYCOB_15; PHYCOB_16; PHYCOB_17; PHYCOB_18; PHYCOB_19; PHYCOB_2; PHYCOB_20; PHYCOB_21; PHYCOB_22; PHYCOB_23; PHYCOB_3; PHYCOB_4; PHYCOB_5; PHYCOB_6; PHYCOB_7; PHYCOB_8; PHYCOB_9; Silicate; Titration, Winkler; Tübitak Marmara
    Type: Dataset
    Format: text/tab-separated-values, 672 data points
    Location Call Number Expected Availability
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  • 127
    Publication Date: 2024-02-07
    Description: The data set was acquired during the PHYCOB cruise in the frame of the Eurofleets+ programme (https://www.eurofleets.eu/2021/10/22/phycob-an-international-oceanographic-expedition-into-the-western-black-sea-coordinated-by-the-alfred-wegner-institut-helmholtz-zentrum-fur-polar-und-meeresforschung-awi/) within the Regional call in the territorrial waters of Romania and Bulgaria in the Western Baltic Sea from 11th to 17th September 2021. The aim of the cruise was to assess the occurrence of potentially harmfal algae and their associated phycotoxins in the Black Sea and the accompanying environmental parameters. Sampling was performed by CTD casts and Rosette water sampling in addition to vertical phytoplankton net hauls from 30 m depth to surface. The determined parameters include the following: Quantitative phytoplankton cell counts in water samples, qulitative determination of toxigenic species next generation sequencing data in plankton net concentrates, monoclonanal cultures established from water sample isolates, phycotoxins in plankton net concentrates, inorganic nitruinets (nitrate/nitrite, phosphate, silicate) , vitamin B12, particulate organic carbon, particulate organic nitrogen, flowcytometry data, and CTD data (temperature, salinity, chlorophyll-a, oxygen, turbidity, radiance).
    Keywords: chlorophyll-a; CTD profile; HAB species; isolated strains; net tows; NOC; Nutrient data; phycotoxins; POC; vitamin B12
    Type: Dataset
    Format: application/zip, 8 datasets
    Location Call Number Expected Availability
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  • 128
    Publication Date: 2024-02-07
    Description: Subsurface nutrients on the Scotian Shelf, an ocean region at the convergence of the subpolar and subtropical western boundary currents (i.e., Labrador Current and Gulf Stream), are chiefly modulated by upstream shelf and slope waters. Yet little is known about long-term fluctuations in the advective transport of nutrients to the shelf. To examine the relationships between subsurface nutrient concentrations and dominant slope water masses at the Scotian Shelf break, we assembled all available hydrographic data (temperature, salinity) and dissolved nutrient data (nitrate, phosphate, silicate) for the period 1975-2020. Hydrographic and nutrient data were extracted from the Fisheries and Oceans Canada (DFO) data archives MEDS (Marine Environmental Data Section Archive; DFO, 2023a) and BioChem (DFO, 2023b; Devine et al., 2014), respectively, and predominantly include data from current DFO programs (e.g., Atlantic Zone Monitoring Program (AZMP)) and legacy datasets. Hydrographic data consist of vertical water column profiles collected using a conductivity-temperature-depth (CTD) profiler, generally mounted to a rosette sampler equipped with Niskin bottles for discrete water and nutrient sampling (Mitchel et al., 2002). Nutrient (nitrate, phosphate, silicate) measurements generally followed well established colorimetric techniques outlined in detail in the AZMP sampling protocol (Mitchell et al., 2002). Only nutrient data that passed initial quality control (i.e., BioChem quality flags of 1 and 0) are included in the datasets provided here (see Devine et al., 2014 for details on quality control (QC) procedures). In addition to hydrographic and nutrient parameters, datasets further include information on designated regions (e.g., WSS: Western Scotian Shelf, CSS: Central Scotian Shelf, ESS: Eastern Scotian Shelf) as defined in Lehmann et al (2023).
    Keywords: Compilation; Cruise/expedition; CTD; Data ID; Data source; DATE/TIME; DEPTH, water; hydrography; LATITUDE; Location; LONGITUDE; Name; Northwest Atlantic; Salinity; Scotian Shelf; Temperature, water; Uniform resource locator/link to source data file
    Type: Dataset
    Format: text/tab-separated-values, 17375611 data points
    Location Call Number Expected Availability
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  • 129
    Publication Date: 2024-02-07
    Description: At each station two vertical net tows were taken from the water column using a 20 μm plankton net (438-030, Hydro-Bios, Kiel, Germany) for analyses of plankton and phycotoxins. The depth of the hauls was fixed to 0 - 30 m. The collected net tow concentrates were adjusted to 1 L with filtered seawater. 50 mL aliquots were fixed with formaldehyde solution, buffered to pH 8-8.2 with disodiumtetraborate (4% final concentration) for microscopic analyses of phytoplankton. Taxonomic identification and cell counts of the net samples were done under inverted microscope (Nikon Eclipse TE2000-U) connected to a video-interactive image analysis system (L.U.C.I.A, Version 4.8, Laboratory Imaging Ltd, Prague, Czech Republic) at 400 × magnification in Sedgwick-Rafter counting chambers. Only dinoflagellates species and the diatom Pseudo-nitzschia genus were considered during the analyses. 400 cells were counted from each sample, while rare and large species were checked in the whole counting chamber (Moncheva and Parr 2010). Cell abundance was expressed in cells per net tow. Taxonomic nomenclature was according to the on-line data-base of World Register of Marine Species (WoRMS) http://www.marinespecies.org/. The QC/QA of the data was performed following the quality control Guidelines for phytoplankton (Moncheva 2010). IOC-UNESCO Taxonomic Reference List of Harmful Micro Algae was used as a reference database of toxic microalgal species selection.
    Keywords: chlorophyll-a; Class; Code; Comment; Country; Counts; CTD profile; Date; Depth, bottom/max; Depth, top/min; Event label; Family; Genus; HAB species; Investigator; isolated strains; Kingdom; LATITUDE; Location; LONGITUDE; MULT; Multiple investigations; net tows; NOC; Nutrient data; Order; PHYCOB; PHYCOB_1; PHYCOB_10; PHYCOB_11; PHYCOB_12; PHYCOB_13; PHYCOB_14; PHYCOB_15; PHYCOB_16; PHYCOB_17; PHYCOB_18; PHYCOB_19; PHYCOB_2; PHYCOB_20; PHYCOB_21; PHYCOB_22; PHYCOB_23; PHYCOB_3; PHYCOB_4; PHYCOB_5; PHYCOB_6; PHYCOB_7; PHYCOB_8; PHYCOB_9; phycotoxins; Phylum; POC; Provenance/source; Sample ID; Scientific name; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Tübitak Marmara; vitamin B12; Year of analysis
    Type: Dataset
    Format: text/tab-separated-values, 22397 data points
    Location Call Number Expected Availability
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  • 130
    Publication Date: 2024-02-07
    Description: Samples for biological and chemical parameters were collected at the surface (3m), pyrocline, and the deep chlorophyll a maximum using the CTD (Conductivity, Temperature, and Depth) rosette outfitted with Niskin bottles. Nitrite and nitrate (NO3-+NO2-) referred to as Nox, ortho-phosphate as phosphorus (o-PO43-) and silica (SiO2) were analysed using a QuAAtro39 Continuous Segmented Flow Analyzer. Size fractionated chlorophyll a was collected by filtering water through 0.2 µm and 2 µm polycarbonate filters and frozen on board to be analysed later in the lab using standard fluorometric techniques. Duplicate particulate organic carbon and nitrogen (POC and PON) samples were collected on pre- combusted GF/F glass fiber filters, and stored frozen at -20°C until subsequent analysis on anelemental analyser in the lab. Whole water samples were preserved with 10% buffered formalin (1 % v/v final) and analyzed by flow cytometry to assess picoplankton densities. Abundance of heterotrophic bacteria (stained with SYBR Green I), phycoerythrin-containing picocyanobacteria, and photosynthetic picoeukaryotes were quantified using a Beckson Dickson Accuri C6 Flowcytometer using fluorescence patterns and particle size from side angle light scatter.
    Keywords: [RVSS]; Carbon, organic, particulate; Carbon/Nitrogen, molar ratio; chlorophyll-a; Chlorophyll a, size fraction 〈 2 µm; Chlorophyll a, size fraction 〉 2 µm; Chlorophyll a, total; CTD, Seabird; CTD profile; CTD-R; Cyanobacteria; DEPTH, water; Event label; HAB species; Heterotrophic prokaryotes; isolated strains; MULT; Multiple investigations; net tows; Nitrate and Nitrite; Nitrogen, organic, particulate; NOC; Nutrient data; Oxygen, dissolved; Phosphate; PHYCOB; PHYCOB_1; PHYCOB_10; PHYCOB_11; PHYCOB_12; PHYCOB_13; PHYCOB_14; PHYCOB_15; PHYCOB_16; PHYCOB_17; PHYCOB_18; PHYCOB_19; PHYCOB_2; PHYCOB_20; PHYCOB_21; PHYCOB_22; PHYCOB_23; PHYCOB_3; PHYCOB_4; PHYCOB_5; PHYCOB_6; PHYCOB_7; PHYCOB_8; PHYCOB_9; phycotoxins; Picoeukaryotes; POC; Rosette Vertical Sampling System; Salinity; Silicate; Temperature, water; Tübitak Marmara; vitamin B12; Vitamin B12
    Type: Dataset
    Format: text/tab-separated-values, 1129 data points
    Location Call Number Expected Availability
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  • 131
    Publication Date: 2024-02-07
    Description: On board microscopic analyses of live net tow (vertical net tows of the upper water column from 30 m depth with a 20 µm mesh-size phytoplankton net) and rosette water samples was performed to characterise the plankton communities, and to document the dinophyte species composition by photo- and video recording. In addition, these samples were used to establish various algal cultures by manual isolation of single cells into 96 well plates filled with 0.3 ml of filtered seawater from the sampling site. Plates were incubated at 20 °C and moderate light intensity (50 µE m-2 s-1), and successfully growing strains were then upscaled into 70 ml plastic culture flasks for further taxonomical and toxicological characterization.
    Keywords: chlorophyll-a; CTD profile; DEPTH, water; Event label; HAB species; Incubation of single cells at 20 °C and moderate light intensity; isolated strains; Latitude of event; Longitude of event; MULT; Multiple investigations; net tows; NOC; Nutrient data; PHYCOB; PHYCOB_1; PHYCOB_10; PHYCOB_11; PHYCOB_13; PHYCOB_15; PHYCOB_16; PHYCOB_18; PHYCOB_19; PHYCOB_2; PHYCOB_20; PHYCOB_3; PHYCOB_4; PHYCOB_5; PHYCOB_6; PHYCOB_8; PHYCOB_9; phycotoxins; POC; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Strain; Tübitak Marmara; vitamin B12
    Type: Dataset
    Format: text/tab-separated-values, 150 data points
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  • 132
    Publication Date: 2024-02-06
    Description: Benthic polychaetes were sampled on the NEG shelf between July - August 1992 with the United States Coast Guard Cutter (USCGC) Polar Sea, and between May and August 1992 with USCGC Polar Sea and R/V Polarstern (ARKVIII/2). Boxcorers (US NEL-Mark III, 0.25 m²) were deployed in 2-5 replicates per station and from each boxcore 3 replicate subcores (6 cm diameter x 15 cm deep), subsequently sieved over a 500 µm mesh sieve, fixed with 6 % buffered formaldehyde and stained with Rose Bengal. Individuals were identified to family level, or the lowest possible taxonomic level, and counted. Individuals were identified to the lowest possible taxonomic level and counted.
    Keywords: 119; 145; 177; 218; 238; 271; 273; Annelida; ARK-IX/3; Basis of event; Campaign of event; Counted; Date/Time of event; Event label; Family; Latitude of event; Longitude of event; Macrofauna; MULT; Multiple investigations; NEGIS; NEWP_P2; NEWP_P25; NEWP_P29; NEWP_P3; NEWP_P36; NEWP_P4; NEWP_P42; NEWP_P43; NEWP_P56; NEWP_P62; NEWP_P63; NEWP_P64; NEWP_P65; NEWP_P72; NEWP_P73; NEWP_P75; NEWP_X63; NEWP_X67; NEWP_X80; NEWP_X93; NEWP_X98; NEWP92; NEWP93; NEW Polynya; Northeast Water Polynya; Optional event label; P2; P25; P29; P3; P36; P4; P42; P43; P56; P62; P63; P64; P65; P72; P73; P75; Polar Sea; Polarstern; Polychaeta; PS26/119; PS26/145; PS26/177; PS26/218; PS26/238; PS26/271; PS26/273; PS26 NEW; sediment; Species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Station label; X63; X67; X80; X93; X98
    Type: Dataset
    Format: text/tab-separated-values, 8477 data points
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  • 133
    Publication Date: 2024-02-06
    Description: This study examined the growth response of juvenile turbot (Scophthalmus maximus) to diets with graded fishmeal (FM) replacement with plant, animal, and emerging protein sources (PLANT, PAP, and MIX) in comparison to a commercial-like diet (CTRL). The feeding experiment was carried out from April to July 2019 in the Centre for Aquaculture Research (ZAF) at the Alfred Wegener Institute for Polar and Marine research in Bremerhaven, Germany. The juvenile turbot (Scophthalmus maximus) were purchased from France Turbot (L'Épine, France) and acclimated to the recirculating aquaculture system (RAS) for 2 weeks prior to starting the 16 weeks experimental trial. To elucidate the effects of the protein sources and the level of FM replacement on the nutritional status of the fish lipid content of liver and muscle tissue were determined at the end of the experiment (t4). Muscle and liver samples (3 individual fish per tank; 15 fish per diet in total) were grinded under liquid nitrogen. Due to small volume, the individual samples of liver and muscle were pooled (n=5 tanks per diet) for the crude lipid content. Following the method of Folch et al. (1957) and Postel et al. (2000), the lipids in the muscle and liver tissue were extracted with 2:1 dichloromethanemethanol (v/v) and an aqueous solution of 0.88% potassium chloride (KCl) (w:v). Crude lipid content was determined gravimetrically to the nearest 0.001 g and calculated as the percentage of lipids of tissue wet weight.
    Keywords: by-product; Experiment; glucose; glycogen; Identification; insect meal; Laboratory balance, Sartorius, Secura 5102-1S; Laboratory experiment; Lipid; Location; Method comment; Sample ID; Sampling date/time, experiment; Scophthalmus maximus, liver lipid, per dry mass; Scophthalmus maximus, muscle lipid, per dry mass; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Tank number; Time point, descriptive; Treatment; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 280 data points
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  • 134
    Publication Date: 2024-02-05
    Description: The TRIAXUS ROTV (Remotely Operated Towed Vehicle, MacArtney) is a towed and undulating system which is equipped with a SEABIRD FASTCAT, SBE 49, AANDERAA OXYGEN OPTODE 4330 F, a SEASCAN SUNADeep Nitrate Sensor, a Turner Chl a sensor and a Seascan Video Plankton Recorder (VPR). It measures: seawater temperatures, salinity, dissolved oxygen, nitrate concentrations, Chlorophyll a in the water column. The Videoplanktonrecorder detects particles and organisms in the water column. Trichodesmium colonies were identified using a deep learning software.
    Keywords: Benguela Upwelling System; Chlorophyll a; CTD-TRIAXUS; DATE/TIME; DEPTH, water; Distance; Event label; Fluorometer, Turner Design, C6 Cyclops; Haul; LATITUDE; LONGITUDE; M153; M153_19-3; M153_56-2; Meteor (1986); Nitrate; Nitrate sensor, SBE Deep SUNA; Oxygen; Oxygen optode, Aanderaa type 4330F; Pumped CTD (SBE 49 FastCAT); Salinity; Temperature, water; TRAFFIC; Triaxus; Trichodesmium; Trichodesmium sp.; Trophic Transfer Efficiency in the Benguela Current; Video plankton recorder, Seascan; followed by deep learning software, Python 3.7
    Type: Dataset
    Format: text/tab-separated-values, 1319248 data points
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  • 135
    Publication Date: 2024-02-05
    Description: This raster dataset, in Cloud Optimized GeoTIFF format (COG), provides information on land surface changes at the pan-arctic scale. Multispectral Landsat-5 TM, Landsat-7 ETM+, and Landsat-8 OLI imagery (cloud-cover less than 80%, months July and August) was used for detecting disturbance trends (associated with abrupt permafrost degradation) between 2003 and 2022. For each satellite image we calculated the Tasseled Cap multi-spectral index to translate the spectral reflectance signal to the semantic information Brightness, Greenness, and Wetness. In order to characterize change information, we calculated the linear trend of the Brightness, Greenness and Wetness over two decades on the individual pixel level. The final map product therefore contains information on the direction and magnitude of change for all three Tasseled Cap parameters in 30m spatial resolution across the pan-arctic permafrost domain. Features detected include coastal erosion, lake drainage, infrastructure expansion, and fires. The general processing methodology was developed by Fraser et al. 2014 and adapted and expanded by Nitze et al. 2016 and Nitze et al. 2018. Here we upscaled the processing to the circum-arctic permafrost region and the recent 20-year period from 2003 through 2022. The service covers the permafrost region up to 81° North: Alaska (USA), Canada, Greenland, Iceland, Norway, Sweden, Finland, Russia, Mongolia, and China. For Russia and China, regions not containing permafrost were excluded. The data has been processed in Google EarthEngine within the research projects ERC PETA-CARB, ESA CCI+ Permafrost, NSF Permafrost Discovery Gateway, and EU Arctic PASSION. The dataset is a contribution to the 'Panarctic requirements-driven Permafrost Service' of the Arctic PASSION project (see references). Changes in the Tasseled Cap indices Brightness, Greenness, and Wetness are displayed in the image bands red, green, and blue, respectively. Here, coastal erosion (a trend of a land surface transitioning to a water surface) is depicted in dark blue colors, while coastal accretion (a trend of a water surface transitioning to a land surface) is depicted in bright orange colors. Drained lakes appear in bright yellow or orange colors, depending on the soil conditions and vegetation regrowth. Fire scars are a further common feature, which can appear in different colors, depending on the time of the fire and pre-fire land cover. The data can be explored via the Arctic Landscape EXplorer (ALEX, see references) and is available as a public web map service (WMS, see references), both hosted by Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research.
    Keywords: Arctic_PASSION; Arctic_PASSION_Permafrost_Service; Arctic PASSION; Binary Object; Binary Object (File Size); Binary Object (Media Type); CCI Permafrost; Circum-arctic permafrost region; Coastline change; Earth observation; ESA_CCI_Permafrost_CCN2; ESA GlobPermafrost; File content; GlobPermafrost; Horizontal datum; Lake change; Lake drainage; Land cover change; Latitude, northbound; Latitude, southbound; Longitude, eastbound; Longitude, westbound; Multispectral index; NSF Permafrost Discovery Gateway; Pan-Arctic observing System of Systems: Implementing Observations for societal Needs; Permafrost_Discovery_Gateway; PETA-CARB; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; Raster cell size; River bank erosion; SAT; satellite data; Satellite remote sensing; Shore erosion; Thaw slumping; thermokarst
    Type: Dataset
    Format: text/tab-separated-values, 16 data points
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  • 136
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_20-1; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 137
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_23-9; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 138
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_22-7; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 26 data points
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  • 139
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_23-8; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 140
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_22-4; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 40 data points
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  • 141
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_20-2; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 142
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-02-10
    Description: Raw data acquired by position sensors on board RV Heincke during expedition HE629 were processed to receive a validated master track which can be used as reference of further expedition data. During HE629 the inertial navigation system IXSEA PHINS III and the GPS receivers Trimble Marine SPS461 and SAAB R5 SUPREME NAV were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
    Keywords: 1 sec resolution; HE629; HE629-track; Heincke; RoboLeaks
    Type: Dataset
    Format: application/zip, 29.2 MBytes
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  • 143
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_20-2; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 144
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_22-6; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 145
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_23-12; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 146
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_22-6; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 147
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_22-5; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 148
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_22-6; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 149
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_20-2; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 32 data points
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  • 150
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_23-11; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 151
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_22-7; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 152
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_23-10; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 153
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_20-3; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 154
    Publication Date: 2024-01-11
    Description: This dataset contains bulk geochemical information (TOC, S, Tmax, Hydrogen and Oxygen Indices), relative and absolute abundances of selected plant wax and bacterial hopanoid biomarkers as well as stable carbon and hydrogen isotope signatures of selected compounds. Samples were analysed with a Leco C/S analyser, a Rock-Eval 6 pyrolysis unit, a gas chromatograph-triple quad mass spectrometer and gas chromatograph isotope ratio mass spectrometer (for d13C and d2H). The samples originate from two onshore outcrops at the Stenkul Fiord (Ellesmere Island) and are mostly coal samples of the lignite thermal maturity stage. The age of the samples are Paleogene and cover the Paleocene Eocene Thermal Maximum (PETM; Margaret Formation), and they were taken in 2017 (BGR CASE 19 expedition). The data were generated to reconstruct the terrestrial paleovenvironment in this high-latitude setting. More information on the studied sections can be found elswhere (Reinhardt et al., 2022).
    Keywords: 17alpha,21beta-homohopane, δ13C; 17beta,21beta-homohopane, δ13C; 2-methyl hop-17(21)-ene/hop-17(21)-ene ratio; Biomarkers; Carbon, organic, total; Carbon Preference Index, n-Alkanes; CASE19; Diterpenoids, total, per unit mass total organic carbon; Element analyser CS, LECO; Ellesmere Island; Epoch; Gas chromatography - Isotope ratio mass spectrometer (GC-IRMS); Gas chromatography triple quadrupole mass spectrometry (GC-QQQ-MS); Hop-17(21)-ene, per unit mass total organic carbon; Hop-17(21)-ene, δ13C; Hopanoids; Hopene, total, per unit mass total organic carbon; Hydrogen index, mass HC, per unit mass total organic carbon; Isopimarane, per unit mass total organic carbon; Isopimarane, δ13C; Location; LR17_Stenkul_Fiord_earlyEocene; n-Alkane, average chain length; n-Alkane, sum, per unit mass total organic carbon; n-Alkane C25, δD; n-Alkane C27, δD; n-Alkane C29, δD; n-Alkane C31, δ13C; neohop-13(18)-ene, δ13C; Nor-Isopimarane, δ13C; OUTCROP; Outcrop sample; Oxygen index, mass CO2, per unit mass total organic carbon; PETM; Pyrolysis temperature maximum; Rock-Eval analysis; Sample ID; SECTION, height; Site; Stable carbon and hydrogen isotopes of plant-waxes; Stable carbon isotope (δ13C); Sulfur, total; δ Deuterium, n-alkane; δ Deuterium, n-alkane, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 781 data points
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  • 155
    Publication Date: 2024-01-11
    Description: This dataset contains bulk geochemical information (TOC, S, Tmax, Hydrogen and Oxygen Indices), relative and absolute abundances of selected plant wax and bacterial hopanoid biomarkers as well as stable carbon and hydrogen isotope signatures of selected compounds. Samples were analysed with a Leco C/S analyser, a Rock-Eval 6 pyrolysis unit, a gas chromatograph-triple quad mass spectrometer and gas chromatograph isotope ratio mass spectrometer (for d13C and d2H). The samples originate from two onshore outcrops at the Stenkul Fiord (Ellesmere Island) and are mostly coal samples of the lignite thermal maturity stage. The age of the samples are Paleogene and cover the Paleocene Eocene Thermal Maximum (PETM; Margaret Formation), and they were taken in 2017 (BGR CASE 19 expedition). The data were generated to reconstruct the terrestrial paleovenvironment in this high-latitude setting. More information on the studied sections can be found elswhere (Reinhardt et al., 2022).
    Keywords: 2-methyl hop-17(21)-ene/hop-17(21)-ene ratio; Biomarkers; Carbon, organic, total; Carbon Preference Index, n-Alkanes; CASE19; Diterpenoids, total, per unit mass total organic carbon; Element analyser CS, LECO; Ellesmere Island; Epoch; Gas chromatography - Isotope ratio mass spectrometer (GC-IRMS); Gas chromatography triple quadrupole mass spectrometry (GC-QQQ-MS); Hop-17(21)-ene, per unit mass total organic carbon; Hop-17(21)-ene, δ13C; Hopanoids; Hopene, total, per unit mass total organic carbon; Hydrogen index, mass HC, per unit mass total organic carbon; Isopimarane, per unit mass total organic carbon; Location; LR17_Stenkul_Fiord_EAST; n-Alkane, average chain length; n-Alkane, sum, per unit mass total organic carbon; OUTCROP; Outcrop sample; Oxygen index, mass CO2, per unit mass total organic carbon; PETM; Pyrolysis temperature maximum; Rock-Eval analysis; Sample ID; SECTION, height; Site; Stable carbon and hydrogen isotopes of plant-waxes; Stable carbon isotope (δ13C); Sulfur, total
    Type: Dataset
    Format: text/tab-separated-values, 141 data points
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  • 156
    Publication Date: 2024-01-16
    Description: Since 1991, the first author has been running a project to study ice height change, flow velocity and deformation using GNSS ground measurements at Swiss Camp near the equilibrium line in the western margin of the Greenland Ice Sheet. The data so far came from 12 campaigns in the period 1991 to 2014, i.e. on average every two years. Recently, the HEIM-group has crossed the Greenland Ice Sheet from east to west with sleds and also determined the surface heights in 2021, it was also possible to measure the Swiss Camp area. The measurements in 2021 were made using kinematic GNSS at one-second intervals, which were evaluated using the Precise Point Positioning (PPP) method. With their results, it was now possible to extend the height change to 30 years and thus form a unique long-term time series.
    Keywords: Distance, relative, X; Distance, relative, Y; ELEVATION; kinematic GPS; ORDINAL NUMBER; Precise Point Positioning (PPP); surface heigts; Swiss_camp_2021_106-99
    Type: Dataset
    Format: text/tab-separated-values, 130864 data points
    Location Call Number Expected Availability
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  • 157
    Publication Date: 2024-01-09
    Description: Divergent sea ice motion breaks the ice and opens fractures and leads. Depending on the air temperature, those open-water areas can quickly refreeze. The open water or thin ice in leads play a crucial role in the heat and gas exchange between the ocean and the atmosphere, impacting atmospheric, ecological, and oceanic processes. Leads can be detected from space, using different types of instruments, e.g., thermal infrared, passive microwave, active microwave, or optical sensors. The retrieval methods have different sensitivities, especially concerning the minimum lead width and the maximum ice thickness, different spatial resolutions, and different limits. We presented a time series of lead fractions from different lead products (Oct 2019 - May 2020) along the drift of the Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition in the Transpolar Drift. We compared 7 different lead products based on 1. accumulated divergence derived from SAR images, 2. divergence in linear kinematic features, 3. classified SAR data, 4. thermal infrared data from MODIS, 5. passive microwave data from AMSR-2, 6. radar altimetry from CryoSat-2 (lead fractions and total lead count), and 7. thermal infrared data from helicopter surveys. We extracted daily lead fractions in a circle with a radius of 50 km along the drift of MOSAiC. Data is available from 5 October 2019 to 15 May 2020 with shorter time series for some of the sensors. We found that the mean lead fractions varied by 1 magnitude across different lead products due to different physical lead and sea ice properties observed by the sensors and methodological factors such as spatial resolution. Thus, the choice of lead product should align with the specific application. Each file contains time and lead fraction for a circular area (radius 50 km) around the MOSAiC position of the particular time stamp. The thermal infrared data from helicopter surveys are available from doi:10.1594/PANGAEA.951569.
    Keywords: Arctic Ocean; CSV text file; CSV text file (File Size); CSV text file (MD5 Hash); CT; File content; leads; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Ocean-ice-atmosphere interaction; Open-water fraction; Polarstern; PS122/1; PS122/1-track; PS122/2; PS122/2-track; PS122/3; PS122/3-track; PS122/4; PS122/4-track; PS122/5; PS122/5-track; sea ice deformation; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 14 data points
    Location Call Number Expected Availability
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  • 158
    Publication Date: 2024-01-26
    Description: We examined the growth response of a brackish snail (Hydrobiidae) against multiple temperature treatments in a mesocosm located beside the Alfred Wegener Institute Wadden Sea Station on Sylt (55°01′19.2″N, 8°26′17.7″E). Bulk sediments were collected south of Pellworm (54° 31' 55.83"N, 8° 42' 40.36"E) at low tide on March 22, 2022, transferred to mesh-lined crates and introduced to mesocosm tanks (170 cm × 85 cm × 1800 L). Experimental warming treatments were conducted using three heaters per tank (Titanium heater 500 W, Aqua Medic, Bissendorf, Germany). The full specifications for the mesocosms are already published (Pansch et al., 2016). Throughout the experimental warming period, four sampling events (March 30, April 25, May 24, June 20) were conducted to core sediments. Sediment cores were washed and sieved (1mm mesh size) to disaggregate infauna. Individuals were separated for the common hydrobiid mudsnail, which were subsequently imaged in groups on a typical petri plate under stereomicroscopy. A semi-automatic object segmentation and size measurement approach was developed to rapidly differentiate and measure individuals from images. Segmentation was highly accurate and precise against manual length measurements (end-to-end; mm) collected in ImageJ for 4595 snails. Scaling the segmentation method across the full dataset estimated 〉40,000 snails and presented a complex species-specific response to warming. The enclosed dataset represents all raw, processed, and segmented images (n= 3201) produced by this study.
    Keywords: Computer vision; DAM sustainMare - iSeal: Trans- and interdisciplinary Social-ecological network analysis based on long-term monitoring, experimental data and stakeholders' assessment; File type; Gastropods; Identification; Image, specimens; Image, specimens (File Size); Image, specimens (MD5 Hash); Image, specimens (Media Type); Image number/name; Image segmentation; iSeal; Magnification; MESO; mesocosm experiment; Mesocosm experiment; Method comment; Object Based Image Analysis; Research Mission of the German Marine Research Alliance (DAM): Protection and sustainable use of marine areas; Resolution; Sample code/label; Sampling date/time, experiment; Stereo microscope, Nikon, SMZ18; coupled with Microscope camera, Nikon, DS-Fi3 [5.39 megapixels, LED base light with oblique coherent contrast]; sustainMare; Sylt_Mesocosm_2022; Tank number; Taxon/taxa, unique identification; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Treatment: temperature description; Type; Type of study; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 44814 data points
    Location Call Number Expected Availability
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  • 159
    Publication Date: 2024-03-04
    Description: Raw multibeam bathymetry data were recorded on RV METEOR during M131 using Kongsberg EM 710 multibeam echosounder. The cruise took place between 7.10.2016 - 12.11.2016, (Recife, Brasil - Walvis Bay, Angola) in the Atlantic Ocean. Data were recorded in the Angola EEZ and throughout the whole time spend outside EEZs in areas shallower than 1500m with an approximate average depth of around 400m. To enhance MBES data accuracy, real-time measurement by SV-Profiler at transducer depth were directly applied during acquisition with SIS Seafloor Information System. Data are unprocessed and can therefore contain incorrect depth measurements (artifacts) if not further processed. Note that refraction errors can be expected due to the lack of proper SVP. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. Ancillary sound velocity profiles (SVP) from the cruise are also archived at BSH, and these files have been added to the dataset. Data acquisition and provision were accomplished to support hydrographic and current measurements along 11°S across the Atlantic, hydrographic and current cross-shelf sections in the Benguela upwelling system, microstructure measurements, mooring service, glider deployments and recoveries and sediment samples. Data publication is done through work package 2 of the EU Horizon 2020 project iAtlantic- Integrated Assessment of Atlantic Marine Ecosystem in Space and Time (https://www.iatlantic.eu/).
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); Comment; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; EM710; EM710 multibeam echosounder; Event label; Extracted from file; Extracted with MB-System; File content; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; M131; M131_0_Underway-2; Meteor (1986); Multibeam Echosounder; Number of pings; SACUS/SACUS-II; Ship speed; Southwest African Coastal Upwelling System and Benguela Niños; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude
    Type: Dataset
    Format: text/tab-separated-values, 33328 data points
    Location Call Number Expected Availability
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  • 160
    Publication Date: 2024-03-04
    Description: Over the past 30 years, the significant increasing exploitation of Rare Earth Elements (REEs) for their use in new technologies (e.g. low-carbon energy, multimedia, medicine) has led to their release into the environment. The occurrence of these emerging contaminants in the environment leads to major health and environmental issues. In the last decade, a growing number of studies have observed the presence of anthropogenic REEs in freshwater and marine aquatic organisms. However, limited information is currently available regarding the natural levels of REE concentrations in aquatic organisms. A global understanding of these natural levels is therefore essential to: i) understand the natural biogeochemical cycles of REEs; ii) gain better insights into the risks of exposure associated with anthropogenic REEs; and iii) determine research perspectives by evaluating current knowledge gaps. This dataset compiles concentrations for the 14 stable REEs, from lanthanum (La) to lutetium (Lu), and sum of REE concentrations (∑REE). These data were compiled from 102 articles published over the last 50 years, between April 1973 and January 2023. These articles provided at least one concentration value for one REE in one aquatic organism, regardless of the analyzed tissue (e.g. whole organism, leaf, liver, shell). A total of 15,710 concentration data were compiled for aquatic organisms. The REE concentrations were compiled for in situ aquatic organisms (expressed in µg.kg-1). The available concentration data for water (n=2105; in µg.l-1) and sediment samples (n=1125; in µg.kg-1) from these studies were also compiled. These field data span across a global scale, encompassing both freshwater and marine ecosystems. The REE concentrations were associated with various biological parameters (e.g. Phylum, Species, Habitat, Tissues) and spatial parameters (e.g. Ecosystem, Area). For each of these parameters, the most precise information was obtained from the published articles providing these data. Additionally, the data were classified based on the presence or absence of environmental REE contamination at the sampling site. Further complementary information is available in the dataset (ReadMe tab). The reference for each of the cited articles is also provided in the dataset (References tab).
    Keywords: Achary_etal_2020_1; Akagi_Edanami_2017_2; Akagi_Edanami_2017_3; Akagi_Edanami_2017_4; Akagi_etal_2004_5; Akagi_etal_2004_6; Akagi_etal_2004_7; Alhassan_Aljahdali_2021_10; Alhassan_Aljahdali_2021_11; Alhassan_Aljahdali_2021_12; Alhassan_Aljahdali_2021_13; Alhassan_Aljahdali_2021_8; Alhassan_Aljahdali_2021_9; Amyot_etal_2017_14; Amyot_etal_2017_15; Amyot_etal_2017_16; Amyot_etal_2017_17; Amyot_etal_2017_18; Amyot_etal_2017_19; Amyot_etal_2017_20; Amyot_etal_2017_21; Amyot_etal_2017_22; Amyot_etal_2017_23; Amyot_etal_2017_24; Amyot_etal_2017_25; Amyot_etal_2017_26; Amyot_etal_2017_27; Andrade_etal_2020_28; Andrade_etal_2020_29; Andrade_etal_2020_30; Aquatic organisms; Atlantic Ocean; Australia; Baffin Bay; Barrat_etal_2022_31; Battuello_etal_2017_32; Bau_etal_2010_33; Bau_etal_2010_34; Bau_etal_2010_35; Benaltabet_etal_2021_36; Bermuda; Blinova_etal_2021_37; Blinova_etal_2021_38; Blinova_etal_2021_39; Blinova_etal_2021_40; Blinova_etal_2021_41; Blinova_etal_2021_42; Bonnail_etal_2017_43; Bonnail_etal_2017_44; Bonnail_etal_2017_45; Bonnail_etal_2017_46; Bosco-Santos_etal_2017_47; Brazil; Briant_etal_2021_48; Briant_etal_2021_49; Briant_etal_2021_50; Briant_etal_2021_51; Briant_etal_2021_52; Briant_etal_2021_53; Briant_etal_2021_54; Briant_etal_2021_55; Briant_etal_2021_56; Briant_etal_2021_57; Briant_etal_2021_58; Briant_etal_2021_59; Briant_etal_2021_60; Briant_etal_2021_61; Briant_etal_2021_62; Briant_etal_2021_63; Briant_etal_2021_64; Briant_etal_2021_65; Briant_etal_2021_66; Briant_etal_2021_67; Briant_etal_2021_68; Briant_etal_2021_69; Briant_etal_2021_70; Briant_etal_2021_71; Briant_etal_2021_72; Briant_etal_2021_73; Briant_etal_2021_74; Briant_etal_2021_75; Briant_etal_2021_76; Briant_etal_2021_77; Briant_etal_2021_78; Bustamante_Miramand_2005_79; Bustamante_Miramand_2005_80; Campbell_etal_2005_81; Canada; Chile; China; Colombia; Compilation; Costas_etal_2010_82; Costas-Rodríguez_etal_2010_83; Costas-Rodríguez_etal_2010_84; Costas-Rodríguez_etal_2010_85; Costas-Rodríguez_etal_2010_86; Costas-Rodríguez_etal_2010_87; Cowgill_1973_88; Cowgill_1973_89; Cuba; Dang_etal_2023_100; Dang_etal_2023_101; Dang_etal_2023_102; Dang_etal_2023_103; Dang_etal_2023_104; Dang_etal_2023_105; Dang_etal_2023_106; Dang_etal_2023_107; Dang_etal_2023_108; Dang_etal_2023_109; Dang_etal_2023_110; Dang_etal_2023_111; Dang_etal_2023_112; Dang_etal_2023_113; Dang_etal_2023_114; Dang_etal_2023_115; Dang_etal_2023_116; Dang_etal_2023_117; Dang_etal_2023_118; Dang_etal_2023_119; Dang_etal_2023_120; Dang_etal_2023_121; Dang_etal_2023_122; Dang_etal_2023_123; Dang_etal_2023_124; Dang_etal_2023_90; Dang_etal_2023_91; Dang_etal_2023_92; Dang_etal_2023_93; Dang_etal_2023_94; Dang_etal_2023_95; Dang_etal_2023_96; Dang_etal_2023_97; Dang_etal_2023_98; Dang_etal_2023_99; Daud_etal_2014_125; Daud_etal_2014_126; Denmark; Egypt; Escobedo_Mondragón_etal_2021_127; Escobedo_Mondragón_etal_2023_128; Estonia; Evangelista_etal_2023_129; Evangelista_etal_2023_130; Fallon_etal_2002_131; Fallon_etal_2002_132; Field-collected samples; Figueiredo_etal_2018_133; Figueiredo_etal_2021_134; Figueiredo_etal_2021_135; Figueiredo_etal_2021_136; Figueiredo_etal_2021_137; Figueiredo_etal_2021_138; Figueiredo_etal_2021_139; Figueiredo_etal_2022_140; Figueiredo_etal_2022_141; Figueiredo_etal_2022_142; Figueiredo_etal_2022_143; Figueiredo_etal_2022_144; Figueiredo_etal_2022_145; France; Fu_etal_2000_146; Fu_etal_2000_147; Fuad_etal_2013_148; Fuad_etal_2013_149; Fuad_etal_2013_150; Fuad_etal_2013_151; Fuad_etal_2013_152; Fuad_etal_2013_153; Fuad_etal_2013_154; Fuad_etal_2013_155; Fuad_etal_2013_156; Fuad_etal_2013_157; Fuad_etal_2013_158; Fuad_etal_2013_159; Fuad_etal_2013_160; Fuad_etal_2013_161; Garcia-Cegarra_etal_2020_162; Gaudry_etal_2007_163; Gaudry_etal_2007_164; Gaudry_etal_2007_165; Gaudry_etal_2007_166; Gaudry_etal_2007_167; Gaudry_etal_2007_168; Gaudry_etal_2007_169; Gaudry_etal_2007_170; Gaudry_etal_2007_171; Gaudry_etal_2007_172; Gaudry_etal_2007_173; Gaudry_etal_2007_174; Gaudry_etal_2007_175; Gaudry_etal_2007_176; Gaudry_etal_2007_177; Gaudry_etal_2007_178; Gaudry_etal_2007_179; Gaudry_etal_2007_180; Germany; Global-scale; Hauser-Davis_etal_2023_181; Helsingen_2011_182; Helsingen_2011_183; Helsingen_2011_184; Helsingen_2011_185; Helsingen_2011_186; Helsingen_2011_187; Hou_Yan_1998_188; Hou_Yan_1998_189; Hou_Yan_1998_190; Hou_Yan_1998_191; Ichihashi_etal_2001_192; India; Ireland; Italy; Japan; Jiao_etal_2021_193; Jiao_etal_2021_194; Jiao_etal_2021_195; Jordan; Jupiter_2008_196; Jupiter_2008_197; Kano_etal_2002_198; Kano_etal_2002_199; Kasper-Zubillaga_etal_2010_200; Katsallah_etal_2013_201; King George Island, Antarctica; Kiribati; Laboratory measurement; Lavezzo_etal_2020_202; Lavezzo_etal_2020_203; Le_Goff_etal_2019_204; Le_Goff_etal_2019_205; Leonard_etal_2019_206; Leonard_etal_2019_207; Leonard_etal_2019_208; Leonard_etal_2019_209; Li_etal_2016_210; Liu_etal_2011_211; Liu_etal_2011_212; Lobus_2016_213; Lobus_2016_214; Lobus_etal_2018_215; Lobus_etal_2018_216; Lobus_etal_2018_217; Lobus_etal_2018_218; Lobus_etal_2019_219; Lobus_etal_2019_220; Lobus_etal_2019_221; Lobus_etal_2019_222; Lobus_etal_2019_223; Lobus_etal_2019_224; Lobus_etal_2021_225; Lobus_etal_2021_226; Lobus_etal_2021_227; Lortholarie_etal_2020_228; Lortholarie_etal_2020_229; Lortholarie_etal_2020_230; Lortholarie_etal_2020_231; Ma_etal_2019_232; Ma_etal_2019_233; Ma_etal_2019_234; Ma_etal_2019_235; Ma_etal_2019_236; Ma_etal_2019_237; Ma_etal_2019_238; Ma_etal_2019_239; Ma_etal_2019_240; Ma_etal_2019_241; Ma_etal_2019_242; Ma_etal_2019_243; Ma_etal_2019_244; Ma_etal_2019_245; Ma_etal_2019_246; Ma_etal_2019_247; Ma_etal_2019_248; Ma_etal_2019_249; Ma_etal_2019_250; Ma_etal_2019_251; Ma_etal_2019_252; Ma_etal_2019_253; Ma_etal_2019_254; Ma_etal_2019_255; Ma_etal_2019_256; Ma_etal_2019_257; Ma_etal_2019_258; Ma_etal_2019_259; MacMillan_etal_2017_260; MacMillan_etal_2017_261; MacMillan_etal_2019_262; MacMillan_etal_2019_263; MacMillan_etal_2019_264; MacMillan_etal_2019_265; Malaysia; Mayfield_Fairbrother_2015_266; Merschel_Bau_2015_267; Merschel_Bau_2015_268; Merschel_Bau_2015_269; Merschel_Bau_2015_270; Merschel_Bau_2015_271; Merschel_Bau_2015_272; Merschel_Bau_2015_273; Merschel_Bau_2015_274; Merschel_Bau_2015_275; Merschel_Bau_2015_276; Mexico; Moermond_etal_2001_277; Mohammed_etal_2012_278; Mohammed_etal_2012_279; Morocco; Mouchi_etal_2020_280; Mouchi_etal_2020_281; Mouchi_etal_2020_282; Mouchi_etal_2020_283; Nassar_etal_2017_284; Nassar_etal_2017_285; Neira_2019_286; Neira_2019_287; Netherlands; New Zealand; Nigeria; Orani_etal_2022_288; Palacios-Torres_etal_2020_289; Palmer_etal_2006_290; Palmer_etal_2006_291; Palmer_etal_2006_292; Palmer_etal_2006_293; Papua New Guinea; Parisi_etal_2017_294; Parisi_etal_2017_295; Pastorino_etal_2020_296; Pastorino_etal_2020_297; Pastorino_etal_2020_298; Pastorino_etal_2020_299; Pastorino_etal_2020_300; Pastorino_etal_2020_301; Pastorino_etal_2021_302; Pavlov_etal_2015_303; Pereto_etal_2020_304; Pereto_etal_2020_305; Pernice_etal_2009_306; Pernice_etal_2009_307; Picone_etal_2022_308; Picone_etal_2022_309; Poland; Ponnurangam_etal_2016_310; Ponnurangam_etal_2016_311; Ponnurangam_etal_2016_312; Portugal; Pratas_etal_2017_313; REEs; Reindl_etal_2021_316; Reindl_etal_2021_317; Reindl_Falkowska_2021_314; Reindl_Falkowska_2021_315; Rodríguez-Velarte_etal_2022_318; Rodríguez-Velarte_etal_2022_319; Rodríguez-Velarte_etal_2022_320; Russia; Sakamoto_etal_2008_321; Sakamoto_etal_2008_322; Sakamoto_etal_2008_323; Sakamoto_etal_2008_324; Sakamoto_etal_2008_325; Saudi Arabia; Seabrook_2020_326; Seabrook_2020_327; Seabrook_2020_328; Seabrook_2020_329; Seabrook_2020_330; Seabrook_2020_331; Seabrook_2020_332; Seabrook_2020_333; Seabrook_2020_334; Seabrook_2020_335; Sena_etal_2022_336; Sena_etal_2022_337; Sena_etal_2022_338; Sena_etal_2022_339; Sena_etal_2022_340; Sena_etal_2022_341; Sena_etal_2022_342; Sena_etal_2022_343; Sena_etal_2022_344; Sholkovitz_Shen_1995_345; Sholkovitz_Shen_1995_346; South Africa;
    Type: Dataset
    Format: application/zip, 460.7 kBytes
    Location Call Number Expected Availability
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  • 161
    Publication Date: 2024-03-05
    Description: Multiproxy analysis (including magnetic susceptibility, diffuse spectral reflectance, elemental geochemistry and grain size) of five sediment piston cores (COR1404-001PC, COR1404-003PC, COR1404-006PC, COR1404-008PC and COR1404-011PC) in order to characterize the evolution of sedimentary environments and depositional history of the Gulf of San Jorge (Patagonia, Argentina) since the Last Glacial Maximum. The data were collected on board the R/V Coriolis II during the MARGES (Marine Geology of the Gulf of San Jorge) expedition (January 29 to March 4, 2014) as part of the PROMESSe (PROgrama Multidisciplinario para el Estudio del ecosistema y la geología marina del golfo San Jorge y las costas de las provincias de Chubut y Santa Cruz) project. Color reflectance, pXRF and magnetic susceptibility were performed at 1-cm intervals on freshly split core sections using a GEOTEK Multi-Sensor Core Logger. Prior to grain size analysis, the five piston cores were evenly sampled every 8 cm with a refined sampling at 4-cm intervals for basal sections of cores COR1404-003PC, COR1404-006PC and COR1404-008PC. Grain size analysis of sediment samples was carried out on the detrital fraction using a Beckman Coulter LS 13 320 particle size analyser. The age-depth models were generated with radiocarbon ages calibrated using the software CALIB version 7.1, the Marine13 calibration curve and a marine regional reservoir correction (ΔR) of 0. The “best fit” linearly interpolated age-depth models were constructed with the Bayesian statistical approach of the BACON v2.2 package of the R software.
    Keywords: age depth model; elemental geochemistry; Grain size data; Gulf of San Jorge; magnetic susceptibility; Patagonia
    Type: Dataset
    Format: application/zip, 5 datasets
    Location Call Number Expected Availability
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  • 162
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; Calculated; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, sun elevation; Sea Ice Physics @ AWI; snow depth; solar radiation; Transmittance; Transmittance, photosynthetically active; Transmittance at 320 nm; Transmittance at 321 nm; Transmittance at 322 nm; Transmittance at 323 nm; Transmittance at 324 nm; Transmittance at 325 nm; Transmittance at 326 nm; Transmittance at 327 nm; Transmittance at 328 nm; Transmittance at 329 nm; Transmittance at 330 nm; Transmittance at 331 nm; Transmittance at 332 nm; Transmittance at 333 nm; Transmittance at 334 nm; Transmittance at 335 nm; Transmittance at 336 nm; Transmittance at 337 nm; Transmittance at 338 nm; Transmittance at 339 nm; Transmittance at 340 nm; Transmittance at 341 nm; Transmittance at 342 nm; Transmittance at 343 nm; Transmittance at 344 nm; Transmittance at 345 nm; Transmittance at 346 nm; Transmittance at 347 nm; Transmittance at 348 nm; Transmittance at 349 nm; Transmittance at 350 nm; Transmittance at 351 nm; Transmittance at 352 nm; Transmittance at 353 nm; Transmittance at 354 nm; Transmittance at 355 nm; Transmittance at 356 nm; Transmittance at 357 nm; Transmittance at 358 nm; Transmittance at 359 nm; Transmittance at 360 nm; Transmittance at 361 nm; Transmittance at 362 nm; Transmittance at 363 nm; Transmittance at 364 nm; Transmittance at 365 nm; Transmittance at 366 nm; Transmittance at 367 nm; Transmittance at 368 nm; Transmittance at 369 nm; Transmittance at 370 nm; Transmittance at 371 nm; Transmittance at 372 nm; Transmittance at 373 nm; Transmittance at 374 nm; Transmittance at 375 nm; Transmittance at 376 nm; Transmittance at 377 nm; Transmittance at 378 nm; Transmittance at 379 nm; Transmittance at 380 nm; Transmittance at 381 nm; Transmittance at 382 nm; Transmittance at 383 nm; Transmittance at 384 nm; Transmittance at 385 nm; Transmittance at 386 nm; Transmittance at 387 nm; Transmittance at 388 nm; Transmittance at 389 nm; Transmittance at 390 nm; Transmittance at 391 nm; Transmittance at 392 nm; Transmittance at 393 nm; Transmittance at 394 nm; Transmittance at 395 nm; Transmittance at 396 nm; Transmittance at 397 nm; Transmittance at 398 nm; Transmittance at 399 nm; Transmittance at 400 nm; Transmittance at 401 nm; Transmittance at 402 nm; Transmittance at 403 nm; Transmittance at 404 nm; Transmittance at 405 nm; Transmittance at 406 nm; Transmittance at 407 nm; Transmittance at 408 nm; Transmittance at 409 nm; Transmittance at 410 nm; Transmittance at 411 nm; Transmittance at 412 nm; Transmittance at 413 nm; Transmittance at 414 nm; Transmittance at 415 nm; Transmittance at 416 nm; 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    Type: Dataset
    Format: text/tab-separated-values, 738492 data points
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  • 163
    Publication Date: 2024-03-05
    Keywords: 138-849; AGE; Alkenone; Calculated from UK'37 (Müller et al, 1998); Calculated from UK'37 (Tierney & Tingley 2018); COMPCORE; Composite Core; Eastern Equatorial Pacific; Joides Resolution; Leg138; North Pacific Ocean; ODP Site 846; Sea surface temperature
    Type: Dataset
    Format: text/tab-separated-values, 386 data points
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  • 164
    Publication Date: 2024-03-05
    Keywords: 321-U1338; AGE; Alkenone; Calculated from UK'37 (Müller et al, 1998); Calculated from UK'37 (Tierney & Tingley 2018); COMPCORE; Composite Core; Eastern Equatorial Pacific; Exp321; Joides Resolution; ODP Site 846; Pacific Equatorial Age Transect II / Juan de Fuca; Sea surface temperature
    Type: Dataset
    Format: text/tab-separated-values, 424 data points
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  • 165
    Publication Date: 2024-03-05
    Keywords: 138-849; According to Herbert et al. (2021); AGE; Alkenone; Alkenone, C37, logarithm; Alkenone, C37 per unit sediment mass; Calculated; COMPCORE; Composite Core; Eastern Equatorial Pacific; Joides Resolution; Leg138; North Pacific Ocean; ODP Site 846; Sea surface temperature
    Type: Dataset
    Format: text/tab-separated-values, 388 data points
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  • 166
    Publication Date: 2024-03-05
    Keywords: 321-U1338; According to Herbert et al. (2021); AGE; Alkenone; Alkenone, C37, logarithm; Alkenone, C37 per unit sediment mass; Calculated; COMPCORE; Composite Core; Eastern Equatorial Pacific; Exp321; Joides Resolution; ODP Site 846; Pacific Equatorial Age Transect II / Juan de Fuca; Sea surface temperature
    Type: Dataset
    Format: text/tab-separated-values, 426 data points
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  • 167
    Publication Date: 2024-03-05
    Keywords: 138-846; According to Herbert et al. (2021); Accumulation rate, alkenone C37; AGE; Alkenone; Alkenone, C37, logarithm; Calculated; COMPCORE; Composite Core; Eastern Equatorial Pacific; Joides Resolution; Leg138; ODP Site 846; Sea surface temperature; South Pacific Ocean
    Type: Dataset
    Format: text/tab-separated-values, 1056 data points
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  • 168
    Publication Date: 2024-03-05
    Keywords: 138-849; According to Herbert et al. (2021); Accumulation rate, alkenone C37; AGE; Alkenone; Alkenone, C37, logarithm; Calculated; COMPCORE; Composite Core; Eastern Equatorial Pacific; Joides Resolution; Leg138; North Pacific Ocean; ODP Site 846; Sea surface temperature
    Type: Dataset
    Format: text/tab-separated-values, 388 data points
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  • 169
    Publication Date: 2024-03-05
    Keywords: 321-U1338; According to Herbert et al. (2021); Accumulation rate, alkenone C37; AGE; Alkenone; Alkenone, C37, logarithm; Calculated; COMPCORE; Composite Core; Eastern Equatorial Pacific; Exp321; Joides Resolution; ODP Site 846; Pacific Equatorial Age Transect II / Juan de Fuca; Sea surface temperature
    Type: Dataset
    Format: text/tab-separated-values, 422 data points
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  • 170
    Publication Date: 2024-03-05
    Keywords: 138-846; A205402GC; A210804; Alkenone; Argo; BC; Box corer; COMPCORE; Composite Core; Core; CORE; core top; DEPTH, sediment/rock; DWBG-143; DWBG-144; Eastern Equatorial Pacific; Equatorial East Pacific; Event label; GC; Gravity corer; Hakuho-Maru; HY06; Joides Resolution; KH-03-1; Knorr; KNR073-04-003; KNR073-04-008; KNR073-04-009; KNR073-04-010; KNR182-9; KNR182-9-MC15; KNR195-05-005-10-GGC; KNR195-05-14-35-GGC; KNR195-05-GGC005-10; KNR195-05-GGC14-35; KNR195-5; KNR195-5-MC12; KNR195-5-MC18; KNR195-5-MC22; KNR195-5-MC25; KNR195-5-MC33; KNR195-5-MC34; KNR733P; KNR73-4GC-008; KNR73-4GC-009; KNR73-4GC-010; Latitude of event; Leg138; Literature based; Longitude of event; ME0005A; ME0005A-25MC5; Melville; MODIS; MUC; MultiCorer; NEMO; P6702-11G; P6702-52G; Pacific Ocean; PC; Piston corer; PLDS-068BX; PLDS-070BX; PLDS-072BX; PLDS-074BX; PLDS-077BX; PLDS-090BX; PLDS-3; Pleiades; RC11; RC1112; RC11-238; RC13; RC13-108; Reference/source; Robert Conrad; Sample ID; SCAN; SCAN-095G; Sea surface temperature; South Pacific Ocean; SST; Thomas Washington; TR163-22; TR163-31; Uniform resource locator/link to reference; V19; V19-28; V19-30; V21; V21-30; Vema; VNTR01; VNTR01-10GC; VNTR01-13GC; VNTR01-9PC; Y69-71P; YALOC69; Yaquina
    Type: Dataset
    Format: text/tab-separated-values, 210 data points
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  • 171
    Publication Date: 2024-03-05
    Keywords: 138-846; A205402GC; A210804; Alkenone; Argo; BC; Box corer; Calculated; Chlorophyll, logarithm; Chlorophyll total; COMPCORE; Composite Core; Core; CORE; core top; DEPTH, sediment/rock; DWBG-143; DWBG-144; Eastern Equatorial Pacific; Equatorial East Pacific; Event label; GC; Gravity corer; Hakuho-Maru; HY06; Joides Resolution; KH-03-1; Knorr; KNR073-04-003; KNR073-04-008; KNR073-04-009; KNR073-04-010; KNR182-9; KNR182-9-MC15; KNR195-05-005-10-GGC; KNR195-05-14-35-GGC; KNR195-05-GGC005-10; KNR195-05-GGC14-35; KNR195-5; KNR195-5-MC12; KNR195-5-MC18; KNR195-5-MC22; KNR195-5-MC25; KNR195-5-MC33; KNR195-5-MC34; KNR733P; KNR73-4GC-008; KNR73-4GC-009; KNR73-4GC-010; Latitude of event; Leg138; Literature based; Longitude of event; ME0005A; ME0005A-25MC5; Melville; MODIS; MUC; MultiCorer; NEMO; P6702-11G; P6702-52G; Pacific Ocean; PC; Piston corer; PLDS-068BX; PLDS-070BX; PLDS-072BX; PLDS-074BX; PLDS-077BX; PLDS-090BX; PLDS-3; Pleiades; RC11; RC1112; RC11-238; RC13; RC13-108; Reference/source; Robert Conrad; Sample ID; SCAN; SCAN-095G; Sea surface temperature; South Pacific Ocean; SST; Thomas Washington; TR163-22; TR163-31; Uniform resource locator/link to reference; V19; V19-28; V19-30; V21; V21-30; Vema; VNTR01; VNTR01-10GC; VNTR01-13GC; VNTR01-9PC; Y69-71P; YALOC69; Yaquina
    Type: Dataset
    Format: text/tab-separated-values, 210 data points
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  • 172
    Publication Date: 2024-03-05
    Keywords: 138-846; A205402GC; A210804; Alkenone; Alkenone, C37 per unit sediment mass; Argo; BC; Box corer; COMPCORE; Composite Core; Core; CORE; core top; DEPTH, sediment/rock; DWBG-143; DWBG-144; Eastern Equatorial Pacific; Equatorial East Pacific; Event label; GC; Gravity corer; Hakuho-Maru; HY06; Joides Resolution; KH-03-1; Knorr; KNR073-04-003; KNR073-04-008; KNR073-04-009; KNR073-04-010; KNR182-9; KNR182-9-MC15; KNR195-05-005-10-GGC; KNR195-05-14-35-GGC; KNR195-05-GGC005-10; KNR195-05-GGC14-35; KNR195-5; KNR195-5-MC12; KNR195-5-MC18; KNR195-5-MC22; KNR195-5-MC25; KNR195-5-MC33; KNR195-5-MC34; KNR733P; KNR73-4GC-008; KNR73-4GC-009; KNR73-4GC-010; Latitude of event; Leg138; Literature based; Longitude of event; ME0005A; ME0005A-25MC5; Melville; MODIS; MUC; MultiCorer; NEMO; P6702-11G; P6702-52G; Pacific Ocean; PC; Piston corer; PLDS-068BX; PLDS-070BX; PLDS-072BX; PLDS-074BX; PLDS-077BX; PLDS-090BX; PLDS-3; Pleiades; RC11; RC1112; RC11-238; RC13; RC13-108; Reference/source; Robert Conrad; Sample ID; SCAN; SCAN-095G; Sea surface temperature; South Pacific Ocean; SST; Thomas Washington; TR163-22; TR163-31; Uniform resource locator/link to reference; V19; V19-28; V19-30; V21; V21-30; Vema; VNTR01; VNTR01-10GC; VNTR01-13GC; VNTR01-9PC; Y69-71P; YALOC69; Yaquina
    Type: Dataset
    Format: text/tab-separated-values, 147 data points
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  • 173
    Publication Date: 2024-03-05
    Keywords: 138-846; A205402GC; A210804; Alkenone; Argo; BC; Box corer; Coccolithaceae, biomass; COMPCORE; Composite Core; Core; CORE; core top; DEPTH, sediment/rock; DWBG-143; DWBG-144; Eastern Equatorial Pacific; Equatorial East Pacific; Event label; GC; Gravity corer; Hakuho-Maru; HY06; Joides Resolution; KH-03-1; Knorr; KNR073-04-003; KNR073-04-008; KNR073-04-009; KNR073-04-010; KNR182-9; KNR182-9-MC15; KNR195-05-005-10-GGC; KNR195-05-14-35-GGC; KNR195-05-GGC005-10; KNR195-05-GGC14-35; KNR195-5; KNR195-5-MC12; KNR195-5-MC18; KNR195-5-MC22; KNR195-5-MC25; KNR195-5-MC33; KNR195-5-MC34; KNR733P; KNR73-4GC-008; KNR73-4GC-009; KNR73-4GC-010; Latitude of event; Leg138; Literature based; Longitude of event; ME0005A; ME0005A-25MC5; Melville; MODIS; MUC; MultiCorer; NEMO; P6702-11G; P6702-52G; Pacific Ocean; PC; Piston corer; PLDS-068BX; PLDS-070BX; PLDS-072BX; PLDS-074BX; PLDS-077BX; PLDS-090BX; PLDS-3; Pleiades; RC11; RC1112; RC11-238; RC13; RC13-108; Reference/source; Robert Conrad; Sample ID; SCAN; SCAN-095G; Sea surface temperature; South Pacific Ocean; SST; Thomas Washington; TR163-22; TR163-31; Uniform resource locator/link to reference; V19; V19-28; V19-30; V21; V21-30; Vema; VNTR01; VNTR01-10GC; VNTR01-13GC; VNTR01-9PC; Y69-71P; YALOC69; Yaquina
    Type: Dataset
    Format: text/tab-separated-values, 166 data points
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  • 174
    Publication Date: 2024-03-05
    Description: This dataset includes stable hydrogen isotope compositions of palmitic acid (n-fatty acid C16) of Core MSM12/2-05-01 from the eastern Labrador Sea, indicating sea surface salinity.
    Keywords: AGE; Biomarkers; Coarse fraction; DEPTH, sediment/rock; Foraminifera; Gas chromatography - isotope ratio mass spectrometry (GC-IRMS); GC; Gravity corer; Ice Sheet; Irminger Current; Labrador Sea; Maria S. Merian; MSM12/2; MSM12/2_647-1; MSM12/2-05-01; n-fatty acid C16, δD; n-fatty acid C16, δD, standard error; Sea surface; XRF
    Type: Dataset
    Format: text/tab-separated-values, 52 data points
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  • 175
    Publication Date: 2024-03-05
    Description: This dataset includes the percentage of fractions above 63 microns of Core MSM12/2-05-01 from the eastern Labrador Sea. Here, we show the record representing the last 50 ka.
    Keywords: AGE; Biomarkers; Coarse fraction; DEPTH, sediment/rock; Foraminifera; GC; Gravity corer; Ice Sheet; Irminger Current; Labrador Sea; Maria S. Merian; MSM12/2; MSM12/2_647-1; MSM12/2-05-01; Sea surface; Size fraction 〉 0.063 mm, sand; Wet sieving; XRF
    Type: Dataset
    Format: text/tab-separated-values, 114 data points
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  • 176
    Publication Date: 2024-03-05
    Description: This dataset includes concentration and accumulation rates of highly branched isoprenoid and sterols of Core MSM12/2-05-01 from the eastern Labrador Sea. Here, we show the records representing the last 50 ka. IP25 indicates sea ice algae production. Dinosterol and brassicasterol indicate open-water phytoplankton productivity.
    Keywords: Accumulation rate, Cibicidoides wuellerstorfi; Accumulation rate, Epistominella exigua; Accumulation rate, Melonis barleeanus; Accumulation rate, number of benthic foraminifera; AGE; Biomarkers; Calculated; Cibicidoides wuellerstorfi; Coarse fraction; Counting 〉125 µm fraction; DEPTH, sediment/rock; Epistominella exigua; Foraminifera; Foraminifera, benthic; GC; Gravity corer; Ice Sheet; Irminger Current; Labrador Sea; Maria S. Merian; Melonis barleeanus; MSM12/2; MSM12/2_647-1; MSM12/2-05-01; Sea surface; XRF
    Type: Dataset
    Format: text/tab-separated-values, 1131 data points
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  • 177
    Publication Date: 2024-03-05
    Description: This dataset includes the number, abundance, and accumulation rates of total planktic foraminifera of Core MSM12/2-05-01 from the eastern Labrador Sea. The number, percentages, and accumulation rates of dominant planktic foraminifera species are also included. Here, we show the records representing the last 50 ka. Changes in foraminifera assemblages indicate changes in water mass characteristics.
    Keywords: Accumulation rate, Globigerina bulloides; Accumulation rate, Neogloboquadrina pachyderma sinistral; Accumulation rate, planktic foraminifera by number; Accumulation rate, Turborotalita quinqueloba; AGE; Biomarkers; Calculated; Coarse fraction; Counting 〉125 µm fraction; DEPTH, sediment/rock; Foraminifera; Foraminifera, planktic; GC; Globigerina bulloides; Gravity corer; Ice Sheet; Irminger Current; Labrador Sea; Maria S. Merian; MSM12/2; MSM12/2_647-1; MSM12/2-05-01; Neogloboquadrina pachyderma sinistral; Sea surface; Turborotalita quinqueloba; XRF
    Type: Dataset
    Format: text/tab-separated-values, 1167 data points
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  • 178
    Publication Date: 2024-03-05
    Description: This dataset includes concentration and accumulation rates of alkenone, the percentage of C37:4, and SST calculation based on the alkenone concentration of Core MSM12/2-05-01 from the eastern Labrador Sea. Here, we show the records representing the last 50 ka. The total alkenone content, %C37:4, and SSTs indicate open-water phytoplankton productivity, meltwater inflow, and sea surface temperatures, respectively.
    Keywords: Accumulation rate, alkenones; AGE; Alkenone, C37:4; Alkenone, per unit mass total organic carbon; Biomarkers; Calculated; Calculated from UK37 (Filippova et al., 2016); Coarse fraction; DEPTH, sediment/rock; Foraminifera; Gas chromatography - Flame Ionization Detection (GC-FID); GC; Gravity corer; Ice Sheet; Irminger Current; Labrador Sea; Maria S. Merian; MSM12/2; MSM12/2_647-1; MSM12/2-05-01; Sea surface; Sea surface temperature, summer; XRF
    Type: Dataset
    Format: text/tab-separated-values, 715 data points
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  • 179
    Publication Date: 2024-03-01
    Description: Ex situ total oxygen uptake (DOU) at the sediment water interface was assessed on the Northeast Greenland shelf with R/V Polarstern during PS109 between September and October 2017 using a camera-equipped multiple corer (TV-MUC; core area 0.007 m2). Upon arrival on deck, part of the overlying water of three MUC cores was collected and stored separately at in situ temperature. The remaining overlying water was adjusted to 10m above the sediment by gently pushing the sediment upwards by avoiding a disturbance of the surface sediment. The cores were then placed in a temperature-controlled water bath in the ship-board laboratory which had been adjusted to the in-situ temperature at the seafloor (information was retrieved from ship-board sensors). A magnetic stirrer was deployed in order to homogenise the overlying water, and a small air pump gently aerated the water. After the assessment of diffusive oxygen uptake (DOU) by microprofiling, total oxygen uptake (TOU) was measured. The air pump was removed to ensure no air bubbles in the overlying water, and the cores were closed air tight. The oxygen concentration was measured continuously in the overlying water every 60 seconds for approximately 48hours (at least 36h). Total sediment oxygen flux was determined as the decrease in oxygen concentration in the water phase, which was read from the continuous oxygen sensor data. The oxygen sensors had been two-point calibrated using oxygen-saturated water and anoxic solution of sodium dithionite. The incubation was terminated at ≤ 80% initial [O2]. TOU fluxes were calculated from the initial linear decrease in O2 concentration versus time (first 30 h) in the enclosed overlying water body (Glud et al., 1994, doi:10.1016/0967-0637(94)90072-8).
    Keywords: ARK-XXXI/4; Date/Time of event; Elevation of event; Event label; ex situ; FRAM; FRontiers in Arctic marine Monitoring; Latitude of event; Longitude of event; Multicorer with television; Oxygen Logger (Firesting O2-C4) equipped with robust oxygen optode, Pyroscience, Firesting; Oxygen uptake, total; Oxygen uptake, total, standard deviation; Polarstern; PS109; PS109_105-1; PS109_115-2; PS109_122-1; PS109_125-1; PS109_139-2; PS109_154-1; PS109_19-2; PS109_36-2; PS109_45-3; PS109_76-1; PS109_84-2; PS109_85-1; PS109_93-2; Replicates; total oxygen uptake (TOU); TVMUC
    Type: Dataset
    Format: text/tab-separated-values, 38 data points
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  • 180
    Publication Date: 2024-03-01
    Description: This data set contains airborne gravity data across central Dronning Maud Land, East Antarctica, acquired during the austral summer of 2009/2010 and within the project 'West-East Gondwana Amalgamation and its Separation' (WEGAS). The data span the offshore Astrid Ridge, and parts of the Nivl and Lazarev ice shelves. The survey was conducted using a ZLS Ultrasys Lacoste & Romberg Air/Sea gravimeter S56 installed into - and operated with - the research aircraft Polar 5. Base readings were performed with a handheld gravity meter at the base station Novolazarevskaja and in Cape Town. A ground speed of 130 knots and a time-domain filter of 220 s leads to a spatial resolution of around 7 km. The average crossover error after bias adjustment is 4.2 mGal. When citing this data set, please also cite the associated manuscript: Eisermann, H., Eagles, G. & Jokat, W. Coastal bathymetry in central Dronning Maud Land controls ice shelf stability. Sci Rep 14, 1367 (2024). https://doi.org/10.1038/s41598-024-51882-2.
    Keywords: AC; airborne gravity; Aircraft; Antarctica; Antarctica, East; Astrid Ridge; DATE/TIME; Event label; Free-air gravity anomaly; Gravity; Height; LATITUDE; Lazarev Ice Shelf; Line; LONGITUDE; Nivl Ice Shelf; PGM17 (NGA's Preliminary Geopotential Model 2017); POLAR 5; WEGAS_2009/10; WEGAS_2009/10_02; WEGAS_2009/10_03; WEGAS_2009/10_04; WEGAS_2009/10_05; WEGAS_2009/10_06; WEGAS_2009/10_07; WEGAS_2009/10_08; WEGAS_2009/10_09; WEGAS_2009/10_10; WEGAS_2009/10_11; WEGAS_2009/10_12; WEGAS_2009/10_13; WEGAS_2009/10_14; WEGAS_2009/10_16; WEGAS_2009/10_17; WEGAS_2009/10_18; WEGAS_2009/10_19; WEGAS_2009/10_20; WEGAS_2009/10_21; WEGAS offshore
    Type: Dataset
    Format: text/tab-separated-values, 128088 data points
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  • 181
    Publication Date: 2024-03-05
    Description: Vegetated coastal ecosystems have been increasingly recognized for their capacity to sequester organic carbon in their soils and sediments under the term blue carbon. The vegetation of these habitats shows specific adaptations to severe abiotic soil conditions, particularly, waterlogging and salinity, and supports therefore ecosystem functioning and services. Wadden Sea salt marshes in Schleswig-Holstein (Germany) have been utilized for high density sheep grazing over centuries. At the beginning of the 1990s, in many parts of salt marshes livestock densities were reduced and the maintenance of the anthropogenic drainage system was ceased. In 2012, 17 years after the change of land utilization, the contents, densities, and accumulation rates of surface soil carbon were investigated at 50 sampling positions with different elevations along eight transects in Wadden Sea mainland salt marshes at Hamburger Hallig, Schleswig-Holstein, Germany, under different livestock grazing regimes (ungrazed, moderately grazed, intensively grazed). Surface soil was collected in 150 permanent plots (2 m * 2 m) at 50 sampling positions, covering a salt marsh area of 1050 ha. The carbon contents, pH, and bulk density were determined from dried soil. The elevations of the 150 permanent plots were measured and annual vertical accretion rates were calculated from 17 years sedimentation monitoring. This study was supported by the BASSIA project (Biodiversity, management, and ecosystem functions of salt marshes in the Wadden Sea National Park of Schleswig-Holstein), funded by the Bauer-Hollmann Foundation and Universität Hamburg.
    Keywords: Agrostis stolonifera, cover; Armeria maritima, cover; Artemisia maritima, cover; Aster tripolium, cover; Atriplex littoralis, cover; Atriplex portulacoides, cover; Atriplex prostrata, cover; blue carbon; Calculated; Climate change; DATE/TIME; Density, dry bulk; Depth, soil, maximum; Distance; ELEVATION; Elymus athericus, cover; Elymus repens, cover; Festuca rubra, cover; Glaux maritima, cover; inorganic and organic carbon stock; Inorganic carbon, soil; Juncus gerardii, cover; Limonium vulgare, cover; Livestock density; Multi parameter analyser, Eijkelkamp, 18.28; Optical levelling instrument; Organic carbon, soil; pH; Plantago coronopus, cover; Plantago maritima, cover; Plot of land; Potentilla anserina, cover; Puccinellia maritima, cover; Salicornia europaea, cover; Sample position; Sea level rise; Soil corer; Sonchus asper, cover; Sonchus sp., cover; Spartina anglica, cover; Spergularia maritima, cover; SSC_2012_HH-SH-G; Suaeda maritima, cover; tidal wetland; TMAP Wadden Sea Vegetation Database (Stock 2012); Total organic carbon (TOC) analyzer, Elementar, Liqui-TOC; coupled with extension module, Elementar, soliTIC; Triglochin maritima, cover; Vegetation, cover; Vegetation type; Vertical accretion rate, annual mean; Wadden Sea, Germany
    Type: Dataset
    Format: text/tab-separated-values, 5300 data points
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  • 182
    Publication Date: 2024-03-05
    Description: The Global Coastal Permeability Database (CoPerm) contains both the input and output data of the Global Coastal Permeability Model developed by Tschaikowski (2024, doi:10.5281/zenodo.10438737). The model assigns the coastal permeability for each shoreline segment of the global shoreline vector created by Roger Sayre (2023, doi:10.5066/P91ZCSGM) with a 30-meter resolution and covering a spatial extent of 180.0°W to 180.0°E longitude and 60.8°S to 83.7°N latitude. The coastline is separated into three sections (A: coastal aquifer, B: immediate shoreline, C: shallow seafloor); permeability values and ranges are provided for each section. Permeability values were derived by categorizing each shoreline segment into a permeability class and assigning corresponding values and ranges based on input parameters and decision trees (Moosdorf et al., submitted). The input parameters were obtained from 14 global datasets, which were merged in GIS as features to each shoreline segment. The merging techniques are described in detail in the provided technical appendix.
    Keywords: Binary Object; Binary Object (File Size); Binary Object (Media Type); Coastal hydrogeology; Coastal permeability; COASTGUARD; coastline; Global coastal groundwater dynamics in a changing climate; Global hydrogeology; Modeled; permeability; saltwater intrusion; submarine groundwater discharge
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
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  • 183
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; Snow height; solar radiation; Tilt angle, X; Tilt angle, Y
    Type: Dataset
    Format: text/tab-separated-values, 29044 data points
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  • 184
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 90079 data points
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  • 185
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 53713 data points
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  • 186
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 36366 data points
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  • 187
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; Calculated; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; Irradiance, upward, reflected at sea ice surface; Irradiance, upward, reflected at sea ice surface, photosythetically active; Irradiance, upward, reflected at sea ice surface, photosythetically active, absolute; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, sun elevation; Sea Ice Physics @ AWI; snow depth; solar radiation; Spectral irradiance, upward, reflected at sea ice surface at 320 nm; Spectral irradiance, upward, reflected at sea ice surface at 321 nm; Spectral irradiance, upward, reflected at sea ice surface at 322 nm; Spectral irradiance, upward, reflected at sea ice surface at 323 nm; Spectral irradiance, upward, reflected at sea ice surface at 324 nm; Spectral irradiance, upward, reflected at sea ice surface at 325 nm; Spectral irradiance, upward, reflected at sea ice surface at 326 nm; Spectral irradiance, upward, reflected at sea ice surface at 327 nm; Spectral irradiance, upward, reflected at sea ice surface at 328 nm; Spectral irradiance, upward, reflected at sea ice surface at 329 nm; Spectral irradiance, upward, reflected at sea ice surface at 330 nm; Spectral irradiance, upward, reflected at sea ice surface at 331 nm; Spectral irradiance, upward, reflected at sea ice surface at 332 nm; Spectral irradiance, upward, reflected at sea ice surface at 333 nm; Spectral irradiance, upward, reflected at sea ice surface at 334 nm; Spectral irradiance, upward, reflected at sea ice surface at 335 nm; Spectral irradiance, upward, reflected at sea ice surface at 336 nm; Spectral irradiance, upward, reflected at sea ice surface at 337 nm; Spectral irradiance, upward, reflected at sea ice surface at 338 nm; Spectral irradiance, upward, reflected at sea ice surface at 339 nm; Spectral irradiance, upward, reflected at sea ice surface at 340 nm; Spectral irradiance, upward, reflected at sea ice surface at 341 nm; Spectral irradiance, upward, reflected at sea ice surface at 342 nm; Spectral irradiance, upward, reflected at sea ice surface at 343 nm; Spectral irradiance, upward, reflected at sea ice surface at 344 nm; Spectral irradiance, upward, reflected at sea ice surface at 345 nm; Spectral irradiance, upward, reflected at sea ice surface at 346 nm; Spectral irradiance, upward, reflected at sea ice surface at 347 nm; Spectral irradiance, upward, reflected at sea ice surface at 348 nm; Spectral irradiance, upward, reflected at sea ice surface at 349 nm; Spectral irradiance, upward, reflected at sea ice surface at 350 nm; Spectral irradiance, upward, reflected at sea ice surface at 351 nm; Spectral irradiance, upward, reflected at sea ice surface at 352 nm; Spectral irradiance, upward, reflected at sea ice surface at 353 nm; Spectral irradiance, upward, reflected at sea ice surface at 354 nm; Spectral irradiance, upward, reflected at sea ice surface at 355 nm; Spectral irradiance, upward, reflected at sea ice surface at 356 nm; Spectral irradiance, upward, reflected at sea ice surface at 357 nm; Spectral irradiance, upward, reflected at sea ice surface at 358 nm; Spectral irradiance, upward, reflected at sea ice surface at 359 nm; Spectral irradiance, upward, reflected at sea ice surface at 360 nm; Spectral irradiance, upward, reflected at sea ice surface at 361 nm; Spectral irradiance, upward, reflected at sea ice surface at 362 nm; Spectral irradiance, upward, reflected at sea ice surface at 363 nm; Spectral irradiance, upward, reflected at sea ice surface at 364 nm; Spectral irradiance, upward, reflected at sea ice surface at 365 nm; Spectral irradiance, upward, reflected at sea ice surface at 366 nm; Spectral irradiance, upward, reflected at sea ice surface at 367 nm; Spectral irradiance, upward, reflected at sea ice surface at 368 nm; Spectral irradiance, upward, reflected at sea ice surface at 369 nm; Spectral irradiance, upward, reflected at sea ice surface at 370 nm; Spectral irradiance, upward, reflected at sea ice surface at 371 nm; Spectral irradiance, upward, reflected at sea ice surface at 372 nm; Spectral irradiance, upward, reflected at sea ice surface at 373 nm; Spectral irradiance, upward, reflected at sea ice surface at 374 nm; Spectral irradiance, upward, reflected at sea ice surface at 375 nm; Spectral irradiance, upward, reflected at sea ice surface at 376 nm; Spectral irradiance, upward, reflected at sea ice surface at 377 nm; Spectral irradiance, upward, reflected at sea ice surface at 378 nm; Spectral irradiance, upward, reflected at sea ice surface at 379 nm; Spectral irradiance, upward, reflected at sea ice surface at 380 nm; Spectral irradiance, upward, reflected at sea ice surface at 381 nm; Spectral irradiance, upward, reflected at sea ice surface at 382 nm; Spectral irradiance, upward, reflected at sea ice surface at 383 nm; Spectral irradiance, upward, reflected at sea ice surface at 384 nm; Spectral irradiance, upward, reflected at sea ice surface at 385 nm; Spectral irradiance, upward, reflected at sea ice surface at 386 nm; Spectral irradiance, upward, reflected at sea ice surface at 387 nm; Spectral irradiance, upward, reflected at sea ice surface at 388 nm; Spectral irradiance, upward, reflected at sea ice surface at 389 nm; Spectral irradiance, upward, reflected at sea ice surface at 390 nm; Spectral irradiance, upward, reflected at sea ice surface at 391 nm; Spectral irradiance, upward, reflected at sea ice surface at 392 nm; Spectral irradiance, upward, reflected at sea ice surface at 393 nm; Spectral irradiance, upward, reflected at sea ice surface at 394 nm; Spectral irradiance, upward, reflected at sea ice surface at 395 nm; Spectral irradiance, upward, reflected at sea ice surface at 396 nm; Spectral irradiance, upward, reflected at sea ice surface at 397 nm; Spectral irradiance, upward, reflected at sea ice surface at 398 nm; Spectral irradiance, upward, reflected at sea ice surface at 399 nm; Spectral irradiance, upward, reflected at sea ice surface at 400 nm; Spectral irradiance, upward, reflected at sea ice surface at 401 nm; Spectral irradiance, upward, reflected at sea ice surface at 402 nm; Spectral irradiance, upward, reflected at sea ice surface at 403 nm; Spectral irradiance, upward, reflected at sea ice surface at 404 nm; Spectral irradiance, upward, reflected at sea ice surface at 405 nm; Spectral irradiance, upward, reflected at sea ice surface at 406 nm; Spectral irradiance, upward, reflected at sea ice surface at 407 nm; Spectral irradiance, upward, reflected at sea ice surface at 408 nm; Spectral irradiance, upward, reflected at sea ice surface at 409 nm; Spectral irradiance, upward, reflected at sea ice surface at 410 nm; Spectral irradiance, upward, reflected at sea ice surface at 411 nm; Spectral irradiance, upward, reflected at sea ice surface at 412 nm; Spectral irradiance, upward, reflected at sea ice surface at 413 nm; Spectral irradiance, upward, reflected at sea ice surface at 414 nm; Spectral irradiance, upward, reflected at sea ice surface at 415 nm; Spectral irradiance, upward, reflected at sea ice surface at 416 nm; Spectral irradiance, upward, reflected at sea ice surface at 417 nm; Spectral irradiance, upward, reflected at sea ice surface at 418 nm; Spectral irradiance, upward, reflected at sea ice surface at 419 nm; Spectral irradiance, upward, reflected at sea ice surface at 420 nm; Spectral irradiance, upward, reflected at sea ice surface at 421 nm; Spectral irradiance, upward, reflected at sea ice surface at 422 nm; Spectral irradiance, upward, reflected at sea ice surface at 423 nm; Spectral irradiance, upward, reflected at sea ice surface at 424 nm; Spectral
    Type: Dataset
    Format: text/tab-separated-values, 955680 data points
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  • 188
    Publication Date: 2024-03-05
    Keywords: 138-846B; 138-846C; AGE; Alkenone; Aluminium oxide; Barium sulfate; Calcium carbonate; Calibrated after Weltje & Tjallingi (2008); Date/Time of event; Depth, composite; DRILL; Drilling/drill rig; Eastern Equatorial Pacific; Event label; Iron oxide, Fe2O3; Joides Resolution; Latitude of event; Leg138; Longitude of event; Manganese oxide; ODP Site 846; Sample code/label; Sea surface temperature; Silicon dioxide; South Pacific Ocean; Titanium dioxide
    Type: Dataset
    Format: text/tab-separated-values, 75384 data points
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  • 189
    Publication Date: 2024-03-05
    Keywords: AGE; Biomarkers; Carbon, inorganic, total; Carbon, organic, total; Coarse fraction; DEPTH, sediment/rock; Element analyser CHN, LECO; Foraminifera; GC; Gravity corer; Ice Sheet; Irminger Current; Labrador Sea; Maria S. Merian; MSM12/2; MSM12/2_647-1; MSM12/2-05-01; Sea surface; XRF
    Type: Dataset
    Format: text/tab-separated-values, 406 data points
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  • 190
    Publication Date: 2024-03-05
    Description: This dataset includes the IRD concentration of Core MSM12/2-05-01 from the eastern Labrador Sea. Here, we show the record representing the last 50 ka. IRD concentration is used for iceberg discharge.
    Keywords: AGE; Biomarkers; Calculated; Coarse fraction; DEPTH, sediment/rock; Foraminifera; GC; Gravity corer; Ice rafted debris; Ice Sheet; Irminger Current; Labrador Sea; Maria S. Merian; MSM12/2; MSM12/2_647-1; MSM12/2-05-01; Sea surface; XRF
    Type: Dataset
    Format: text/tab-separated-values, 101 data points
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  • 191
    Publication Date: 2024-03-05
    Keywords: Amundsen Sea; Antarctica; Chlorite; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Elevation of event; Event label; Glaciomarine; Illite; KAL; Kaolinite; Kasten corer; Latitude of event; Longitude of event; Marine Sediment Core; Nathaniel B. Palmer; NBP19-02; NBP19-02_KC04; NBP19-02_KC15; NBP19-02_KC19; Smectite; Thwaites Glacier; X-ray diffraction (XRD)
    Type: Dataset
    Format: text/tab-separated-values, 258 data points
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  • 192
    Publication Date: 2024-03-05
    Description: This dataset includes concentration and accumulation rates of highly branched isoprenoid and sterols of Core MSM12/2-05-01 from the eastern Labrador Sea. Here, we show the records representing the last 50 ka. IP25 indicates sea ice algae production. Dinosterol and brassicasterol indicate open-water phytoplankton productivity.
    Keywords: 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane, per unit mass total organic carbon; 24-Methylcholesta-5,22E-dien-3beta-ol, per unit mass total organic carbon; 4alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol, per unit mass total organic carbon; Accumulation rate, 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane; Accumulation rate, 24-Methylcholesta-5,22E-dien-3beta-ol; Accumulation rate, 4alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol; AGE; Biomarkers; Calculated; Coarse fraction; DEPTH, sediment/rock; Foraminifera; Gas chromatography - Mass spectrometry (GC-MS); GC; Gravity corer; Ice Sheet; Irminger Current; Labrador Sea; Maria S. Merian; MSM12/2; MSM12/2_647-1; MSM12/2-05-01; Sea surface; XRF
    Type: Dataset
    Format: text/tab-separated-values, 1161 data points
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  • 193
    Publication Date: 2024-03-05
    Description: This dataset includes XRD (Dolomite) contents of Core MSM12/2-05-01 from the eastern Labrador Sea, indicating detrital carbonate from the Laurentide Ice Sheet.
    Keywords: AGE; Biomarkers; Coarse fraction; DEPTH, sediment/rock; Dolomite; Foraminifera; GC; Gravity corer; Ice Sheet; Irminger Current; Labrador Sea; Maria S. Merian; MSM12/2; MSM12/2_647-1; MSM12/2-05-01; Sea surface; X-ray diffraction (XRD); XRF
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 194
    facet.materialart.
    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 29012 data points
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  • 195
    facet.materialart.
    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-29
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Monitoring station; MONS; Pressure, atmospheric; SYO; Syowa; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 267840 data points
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  • 196
    facet.materialart.
    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 24245 data points
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  • 197
    facet.materialart.
    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-29
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Monitoring station; MONS; Pressure, atmospheric; SYO; Syowa; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 263041 data points
    Location Call Number Expected Availability
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  • 198
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    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-29
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Monitoring station; MONS; Pressure, atmospheric; SYO; Syowa; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 257782 data points
    Location Call Number Expected Availability
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  • 199
    facet.materialart.
    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 25033 data points
    Location Call Number Expected Availability
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  • 200
    facet.materialart.
    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 23254 data points
    Location Call Number Expected Availability
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