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  • PANGAEA  (34,743)
  • Wiley-Blackwell  (9,885)
  • Cambridge University Press
  • University of Chicago Press
  • 2020-2024  (35,041)
  • 1950-1954  (13,031)
Collection
Keywords
Publisher
Language
Years
Year
  • 1
    facet.materialart.
    Unknown
    Conductivity, temperature, and depth measurements at the RMS Titanic wreck and Nargeolet-Fanning Ridge, Northwest Atlantic, in summer 2022 (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-04
    Description: To gain information on the physical parameters of deep water in the Northwest Atlantic, CTD measurements were taken during seven dives to the RMS Titanic wreck (front of bow approx. 41.7330181, -49.9460561; 3816 m water depth) and one dive to the Nargeolet-Fanning Ridge (approx. 41.5980514, -49.4386889; 2896 m water depth) during the OceanGate expedition aboard the AHTS Horizon Arctic, 15 June - 25 July 2022. The CTD measurements of the water column down to a maximum water depth of 3853 m were conducted using a Valeport MIDAS SVX2 6000 unit attached to the submersible Titan for the duration of each dive and provided standard data for conductivity, temperature, and pressure. Conductivity and temperature data were used to compute salinity.
    Keywords: Conductivity; CTD; CTD, Valeport, MIDAS SVX2 6000, mounted on submersible; CTD-MIDAS_SVX2-SUB; CTD profile; DATE/TIME; Deep sea; Density, sigma-theta (0); Depth; DEPTH, water; Doppler velocity log (DVL), Sonardyne, mounted on submersible; DVL_Sonardyne_SUB; Event label; Horizon Arctic (AHTS); iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; LATITUDE; LONGITUDE; Newfoundland; Northwest Atlantic; Number of observations; NW Atlantic; OceanGate; Pressure, water; Salinity; Sigma theta (calculated, using CTD salinity); Temperature; Temperature, water; Titan-2022-C2_0073; Titan-2022-C2_0075; Titan-2022-C2_0076; Titan-2022-C2_0079; Titan-2022-C2_0080; Titan-2022-C2_0081; Titan-2022-C2_0082; Titan-2022-C2_0083
    Type: Dataset
    Format: text/tab-separated-values, 1242327 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 2
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    Unknown
    Abundance and biomass of Calanus spp. on western North Atlantic Shelves (2020)
    PANGAEA
    Details
    Publication Date: 2024-07-03
    Keywords: 1; 1.1; 1.2; 1.3; 1.4; 1.5; 10.1; 11; 11.1; 1121; 12.1; 2; 2.1; 2.2; 2.3; 2.4; 2.5; 2.6; 21; 3; 3.1; 3.2; 3.3; 3.4; 3.5; 3.6; 3.7; 3.8; 3.9; 31; 4; 4.1; 4.2; 4.3; 4.4; 4.5; 4.6; 4.7; 4.8; 4.9; 41; 5; 5.1; 5.2; 5.3; 5.4; 5.5; 5.6; 5.7; 51; 6; 6.1; 6.2; 6.3; 6.4; 6.5; 6.6; 6.7; 61; 6681; 7; 7.1; 7.2; 7.3; 7.4; 7.5; 7.6; 7.7; 8; 8.1; 8.2; 8.3; 8.4; 8.5; 8.6; 8.7; 800; 851; 9; 9.1; 9.2; 9.3; 9.4; 9.5; Atlantic Zone Monitoring Program; AZMP; AZMP_1.1; AZMP_1.2; AZMP_1.3; AZMP_1.4; AZMP_1.5; AZMP_10.1; AZMP_11; AZMP_11.1; AZMP_1121; AZMP_12.1; AZMP_2.1; AZMP_2.2; AZMP_2.3; AZMP_2.4; AZMP_2.5; AZMP_2.6; AZMP_21; AZMP_3.1; AZMP_3.2; AZMP_3.3; AZMP_3.4; AZMP_3.5; AZMP_3.6; AZMP_3.7; AZMP_3.8; AZMP_3.9; AZMP_31; AZMP_4.1; AZMP_4.2; AZMP_4.3; AZMP_4.4; AZMP_4.5; AZMP_4.6; AZMP_4.7; AZMP_4.8; AZMP_4.9; AZMP_41; AZMP_5; AZMP_5.1; AZMP_5.2; AZMP_5.3; AZMP_5.4; AZMP_5.5; AZMP_5.6; AZMP_5.7; AZMP_51; AZMP_6; AZMP_6.1; AZMP_6.2; AZMP_6.3; AZMP_6.4; AZMP_6.5; AZMP_6.6; AZMP_6.7; AZMP_6.8; AZMP_61; AZMP_6681; AZMP_7; AZMP_7.1; AZMP_7.2; AZMP_7.3; AZMP_7.4; AZMP_7.5; AZMP_7.6; AZMP_7.7; AZMP_8; AZMP_8.1; AZMP_8.2; AZMP_8.3; AZMP_8.4; AZMP_8.5; AZMP_8.6; AZMP_8.7; AZMP_800; AZMP_851; AZMP_9; AZMP_9.1; AZMP_9.2; AZMP_9.3; AZMP_9.4; AZMP_9.5; AZMP_BB01; AZMP_BB02; AZMP_BB03; AZMP_BB04; AZMP_BB05; AZMP_BB06; AZMP_BB07; AZMP_BB08; AZMP_BB09; AZMP_BB10; AZMP_BB11; AZMP_BB12; AZMP_BB13; AZMP_BB14; AZMP_BB15; AZMP_BBL-01; AZMP_BBL-02; AZMP_BBL-03; AZMP_BBL-04; AZMP_BBL-05; AZMP_BBL-06; AZMP_BBL-07; AZMP_CSL1; AZMP_CSL2; AZMP_CSL3; AZMP_CSL4; AZMP_CSL5; AZMP_CSL6; AZMP_FC01; AZMP_FC02; AZMP_FC03; AZMP_FC04; AZMP_FC05; AZMP_FC06; AZMP_FC07; AZMP_FC09; AZMP_FC10; AZMP_FC12; AZMP_FC13; AZMP_FC14; AZMP_FC15; AZMP_FC17; AZMP_FC18; AZMP_FC20; AZMP_FC21; AZMP_FC23; AZMP_FC24; AZMP_FC26; AZMP_FC29; AZMP_FC30; AZMP_FC31; AZMP_FC33; AZMP_FC35; AZMP_FC37; AZMP_HL-01; AZMP_HL-02; AZMP_HL-03; AZMP_HL-04; AZMP_HL-05; AZMP_HL-06; AZMP_HL-07; AZMP_LL-01; AZMP_LL-02; AZMP_LL-03; AZMP_LL-04; AZMP_LL-05; AZMP_LL-06; AZMP_LL-07; AZMP_LL-08; AZMP_LL-09; AZMP_MFD-SETNO049; AZMP_MFD-SETNO668; AZMP_MFD-SETNO916; AZMP_notassigned; AZMP_P5; AZMP_Riki-01; AZMP_Riki-02; AZMP_SEGB01; AZMP_SEGB02; AZMP_SEGB03; AZMP_SEGB04; AZMP_SEGB05; AZMP_SEGB06; AZMP_SEGB07; AZMP_SEGB08; AZMP_SEGB09; AZMP_SEGB10; AZMP_SEGB11; AZMP_SEGB12; AZMP_SEGB13; AZMP_SEGB14; AZMP_SEGB15; AZMP_SEGB16; AZMP_SEGB17; AZMP_SEGB19; AZMP_Shediac; AZMP_ShediacValley; AZMP_ShediacValleyMFD-SETNO668; AZMP_SI01; AZMP_SI02; AZMP_SI03; AZMP_SI04; AZMP_SI05; AZMP_SI06; AZMP_SI08; AZMP_SI09; AZMP_SI10; AZMP_SI12; AZMP_SI13; AZMP_STN27; AZMP_TASO1; AZMP_TASO2; AZMP_TASO3; AZMP_TASO4; AZMP_TASO5; AZMP_TBB1; AZMP_TBB2; AZMP_TBB3; AZMP_TBB4; AZMP_TBB5; AZMP_TBB6; AZMP_TBB7; AZMP_TCEN1; AZMP_TCEN2; AZMP_TCEN3; AZMP_TCEN4; AZMP_TCEN5; AZMP_TDC1; AZMP_TDC2; AZMP_TDC3; AZMP_TDC4; AZMP_TDC5; AZMP_TDC6; AZMP_TESL1; AZMP_TESL2; AZMP_TESL3; AZMP_TESL4; AZMP_TESL5; AZMP_TESL6; AZMP_TESL7; AZMP_TIDM1; AZMP_TIDM10; AZMP_TIDM2; AZMP_TIDM3; AZMP_TIDM4; AZMP_TIDM5; AZMP_TIDM6; AZMP_TIDM7; AZMP_TIDM8; AZMP_TIDM9; AZMP_TSI1; AZMP_TSI2; AZMP_TSI3; AZMP_TSI4; AZMP_TSI5; AZMP_TSI6; B; BB01; BB02; BB03; BB04; BB05; BB06; BB07; BB08; BB09; BB10; BB11; BB12; BB13; BB14; BB15; BBL-01; BBL-02; BBL-03; BBL-04; BBL-05; BBL-06; BBL-07; BT01_01; BT01_02; BT01_03; BT01_04; BT02_01; BT02_02; BT02_03; BT03_01; BT03_02; BT03_03; BT03_04; BT03_05; BT04_01; BT04_02; BT04_03; BT10_01; BT10_02; BT10_04; BT11_01; BT11_02; BT11_03; BT15.01.1; BT15.01.2; BT15.01.3; BT15.01.4; BT15.02.1; BT15.02.2; BT15.02.3; BT15.03.1; BT15.03.2; BT15.03.3; BT15.04.1; BT15.04.2; BT15.04.3; BT15.05.2; Calanus; Calanus finmarchicus, c1; Calanus finmarchicus, c2; Calanus finmarchicus, c3; Calanus finmarchicus, c4; Calanus finmarchicus, c5; Calanus finmarchicus, c6; Calanus finmarchicus + Calanus glacialis; Calanus glacialis, c1; Calanus glacialis, c2; Calanus glacialis, c3; Calanus glacialis, c4; Calanus glacialis, c5; Calanus glacialis, c6; Calanus hyperboreus; Calanus hyperboreus, c1; Calanus hyperboreus, c2; Calanus hyperboreus, c3; Calanus hyperboreus, c4; Calanus hyperboreus, c5; Calanus hyperboreus, c6; Calanus spp., dry mass; CAS-1; CAS-2; CAS-3; CAS-4; CBTS02; CBTS03; CF-1; CF-2; CF-3; CF-4; CF-5; CF-6; CF-7; CF-8; CH0712_101; CH0712_102; CH0712_103; CH0712_104; CH0712_105; CH0712_106; CH0712_107; CH0712_108; CH0712_112; CH0712_113; CH0712_114; CH0712_115; CH0712_305; CH0712_305A; CH0712_306; CH0712_307; CH0712_311; Comment; Cruise/expedition; CSL1; CSL2; CSL3; CSL4; CSL5; CSL6; CT-1; CT-3; DATE/TIME; Depth, bathymetric; DEPTH, water; DMC-1; DMC-2; DMC-E; Event label; FC01; FC02; FC03; FC04; FC05; FC06; FC07; FC09; FC10; FC12; FC13; FC14; FC15; FC17; FC18; FC20; FC21; FC23; FC24; FC26; FC29; FC30; FC31; FC33; FC35; FC37; foraging habitat; GA; GSB; Gulf of Maine-Georges Bank; Gulf of St. Lawrence; HL-01; HL-02; HL-03; HL-04; HL-05; HL-06; HL-07; Identification; interannual variability; JL; LATITUDE; LL-01; LL-02; LL-03; LL-04; LL-05; LL-06; LL-07; LL-08; LL-09; Location; LONGITUDE; MARMAP_ECOMON; Mesh size; Method comment; MFD-SETNO049; MFD-SETNO668; MFD-SETNO916; MON-1; MON-3; MON-4; MON-5; MULT; Multiple investigations; Newfoundland-Labrador-Shelves; North Atlantic right whale; not assigned; P1; P2; P5; PI; PII; Riki-01; Riki-02; S; SB1; SB2; Scotian Shelf; SEGB01; SEGB02; SEGB03; SEGB04; SEGB05; SEGB06; SEGB07; SEGB08; SEGB09; SEGB10; SEGB11; SEGB12; SEGB13; SEGB14; SEGB15; SEGB16; SEGB17; SEGB19; Shediac; Shediac Valley; Shediac Valley MFD-SETNO668; SI01; SI02; SI03; SI04; SI05; SI06; SI08; SI09; SI10; SI12; SI13; Station label; STN27; TASO1; TASO2; TASO3; TASO4; TASO5; TBB1; TBB2; TBB3; TBB4; TBB5; TBB6; TBB7; TCEN1; TCEN2; TCEN3; TCEN4; TCEN5; TDC1; TDC2; TDC3; TDC4; TDC5; TDC6; TESL1; TESL2; TESL3; TESL4; TESL5; TESL6; TESL7; TIDM1; TIDM10; TIDM2; TIDM3; TIDM4; TIDM5; TIDM6; TIDM7; TIDM8; TIDM9; Transect; TSI1; TSI2; TSI3; TSI4; TSI5; TSI6; WB-2; WB-3; WB-4; WB-5; WB-7; WB-D; western_GoM_1; western_GoM_2; western_GoM_3; western_GoM_4; western_GoM_5; western_GoM_B; western_GoM_BT01_01; western_GoM_BT01_02; western_GoM_BT01_03; western_GoM_BT01_04; western_GoM_BT02_01; western_GoM_BT02_02; western_GoM_BT02_03; western_GoM_BT03_01; western_GoM_BT03_02; western_GoM_BT03_03; western_GoM_BT03_04; western_GoM_BT03_05; western_GoM_BT04_01; western_GoM_BT04_02; western_GoM_BT04_03; western_GoM_BT10_01; western_GoM_BT10_02; western_GoM_BT10_04; western_GoM_BT11_01; western_GoM_BT11_02; western_GoM_BT11_03; western_GoM_BT15.01.1; western_GoM_BT15.01.2; western_GoM_BT15.01.3; western_GoM_BT15.01.4; western_GoM_BT15.02.1; western_GoM_BT15.02.2; western_GoM_BT15.02.3; western_GoM_BT15.03.1; western_GoM_BT15.03.2; western_GoM_BT15.03.3; western_GoM_BT15.04.1; western_GoM_BT15.04.2; western_GoM_BT15.04.3; western_GoM_BT15.05.2; western_GoM_CAS-1; western_GoM_CAS-2; western_GoM_CAS-3; western_GoM_CAS-4; western_GoM_CBTS02; western_GoM_CBTS03; western_GoM_CF-1; western_GoM_CF-2; western_GoM_CF-3; western_GoM_CF-4; western_GoM_CF-5; western_GoM_CF-6; western_GoM_CF-7; western_GoM_CF-8; western_GoM_CH0712_101; western_GoM_CH0712_102; western_GoM_CH0712_103; western_GoM_CH0712_104; western_GoM_CH0712_105; western_GoM_CH0712_106; western_GoM_CH0712_107; western_GoM_CH0712_108; western_GoM_CH0712_112; western_GoM_CH0712_113; western_GoM_CH0712_114; western_GoM_CH0712_115; western_GoM_CH0712_305; western_GoM_CH0712_305A; western_GoM_CH0712_306; western_GoM_CH0712_307; western_GoM_CH0712_311; western_GoM_CT-1; western_GoM_CT-3; western_GoM_DMC-1; western_GoM_DMC-2; western_GoM_DMC-E; western_GoM_GA; western_GoM_GSB; western_GoM_JL; western_GoM_MON-1; western_GoM_MON-3; western_GoM_MON-4; western_GoM_MON-5; western_GoM_P1; western_GoM_P2; western_GoM_PI; western_GoM_PII; western_GoM_S; western_GoM_SB1; western_GoM_SB2; western_GoM_WB-2; western_GoM_WB-3; western_GoM_WB-4; western_GoM_WB-5; western_GoM_WB-7; western_GoM_WB-D; Zooplankton
    Type: Dataset
    Format: text/tab-separated-values, 634412 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 3
    facet.materialart.
    Unknown
    Radiocarbon age dating of bulk sediments from sediment core EN20001 from Lake Khamra (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-03
    Description: This dataset comprises of the results of radiocarbon-based (14C) determination of age from sediment core EN20001, retrieved from Lake Khamra, SW Yakutia. Dating was conducted from 38 bulk sediment samples, including surface sample (EN20003) for reservoir effect estimation. Dating was conducted and analyzed by accelerator mass spectrometry with the Mini Carbon Dating System (MICADAS) at Alfred Wegener Institute, Bremerhaven. This study was additionally supported by a short-term grant (not numbered) from AWI Graduate School (POLMAR), and PhD Completion Scholarship (not numbered) provided by University of Potsdam.
    Keywords: Age, dated; Age, dated material; Age, dated standard deviation; AWI_Envi; AWI Arctic Land Expedition; Boreal; Comment; DEPTH, sediment/rock; EN20001_PC; EN20001, Lake Khamra; EN20003; Event label; Fraction modern carbon; Fraction modern carbon, standard deviation; Grab; GRAB; Khamra 2020; Laboratory code/label; Lake Khamra; Lake Khamra, SW Yakutia, Russia; Lake sediment; Lake sediment core; lake sediment proxies; Land cover; Mini Carbon Dating System (MICADAS); non-pollen palynomorphs; PCUWI; Piston corer, UWITEC; Polar Terrestrial Environmental Systems @ AWI; Pollen; pollen analysis; pollen and spores; radiocarbon dating; RU-Land_2020_Khamra; Russia; sakha; Sakha Republic; Siberia; subarctic; TN; TOC; Vegetation; XRF; XRF core scanner data; Yakutia
    Type: Dataset
    Format: text/tab-separated-values, 229 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 4
    facet.materialart.
    Unknown
    Element composition of the sediment core EN20001 from Lake Khamra (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-03
    Description: This dataset comprises the elemental distributions from high-resolution X-ray fluorescence (XRF) scanning from sediment core EN20001, retrieved from Lake Khamra, SW Yakutia. XRF was performed at the Bundesanstalt für Geowissenschaften und Rohstoffe (BGR), Berlin, Germany. The resolution of measurement for the whole core (0-1080cm) is 1 cm, except for the part 659-729 cm (where 0.5 cm was applied, to check for fine laminations). This study was additionally supported by a short-term grant (not numbered) from AWI Graduate School (POLMAR), and PhD Completion Scholarship (not numbered) provided by University of Potsdam.
    Keywords: Aluminium; AWI_Envi; AWI Arctic Land Expedition; Bismuth; Boreal; Bromine; Calcium; Chlorine; Chromium; Copper; DEPTH, sediment/rock; EN20001_PC; EN20001, Lake Khamra; Gallium; Iron; Khamra 2020; Lake Khamra, SW Yakutia, Russia; Lake sediment; Lake sediment core; lake sediment proxies; Land cover; Lead; Manganese; Molybdenum; Niobium; non-pollen palynomorphs; PCUWI; Phosphorus; Piston corer, UWITEC; Polar Terrestrial Environmental Systems @ AWI; Pollen; pollen analysis; pollen and spores; Potassium; radiocarbon dating; Rhodium; Rubidium; RU-Land_2020_Khamra; Russia; sakha; Sakha Republic; Siberia; Silicon; Strontium; subarctic; Sulfur; Titanium; TN; TOC; Vegetation; X-ray fluorescence core scanner (XRF), Avaatech; XRF; XRF core scanner data; Yakutia; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 27576 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 5
    facet.materialart.
    Unknown
    Total organic carbon and total nitrogen of the sediment core EN20001 from Lake Khamra (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-03
    Description: The dataset comprises the results of measured total organic carbon (TOC, 53 samples), and for total nitrogen (TN, 30 samples) from sediment core EN20001, retrieved from Lake Khamra, SW Yakutia. The sedimentological analytics were performed in the Sediment laboratory at AWI Potsdam, Germany. TOC was measured using a soliTOC cube analyzer (Elementar Analysensysteme GmbH, Germany), TN was measured using a TruMac CNS elemental analyzer (LECO, Germany). This study was additionally supported by a short-term grant (not numbered) from AWI Graduate School (POLMAR), and PhD Completion Scholarship (not numbered) provided by University of Potsdam.
    Keywords: AWI_Envi; AWI Arctic Land Expedition; Boreal; Carbon, organic, total; DEPTH, sediment/rock; Element analyser CNS, LECO, TruMac; Element analyzer, vario Cube SoliTOC; EN20001_PC; EN20001, Lake Khamra; Khamra 2020; Lake Khamra, SW Yakutia, Russia; Lake sediment; Lake sediment core; lake sediment proxies; Land cover; Nitrogen, total; non-pollen palynomorphs; PCUWI; Piston corer, UWITEC; Polar Terrestrial Environmental Systems @ AWI; Pollen; pollen analysis; pollen and spores; radiocarbon dating; RU-Land_2020_Khamra; Russia; sakha; Sakha Republic; Siberia; subarctic; TN; TOC; Vegetation; XRF; XRF core scanner data; Yakutia
    Type: Dataset
    Format: text/tab-separated-values, 83 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 6
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    Unknown
    Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany, 2022-01 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-03
    Description: Data presented here were collected between January 2022 to December 2023 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Meteorological data were collected near the experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Processcontrol Weather (c) -4H- JENA engineering GmbH (v20.1.0.1 2020) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
    Keywords: ALTITUDE; Automated weather station, Thies Clima, Clima Sensor US 4.920x.00.00x; Automatic weather station; AWS; BEFmate; biodiversity - ecosystem functioning; Brightness, east; Brightness, maximum; Brightness, north; Brightness, south; Brightness, west; Brightness direction; DATE/TIME; DynaCom; DynaCom weather station; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; Humidity, relative; Indicator for inclusion or ommission of precipitation data; Metacommunity; meteorology; Precipitation; Precipitation, daily total; Precipitation description; Pressure, atmospheric; salt marsh; SCO; Solar azimuth angle; Solar elevation angle; Spiekeroog; Spiekeroog, German Bight, North Sea; Spiekeroog Coastal Observatory; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 262497 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 7
    facet.materialart.
    Unknown
    Pollen and non-pollen palynomorphs of the sediment core EN20001 from Lake Khamra (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-03
    Description: 48 pollen samples from Lake Khamra were prepared using the established protocol with added Lycopodium marker spore tablets. To store samples and prepare microscopic slides, water-free glycerol was used. The palynomorphs were counted and identified using a light microscope AxioZeiss (400x magnifications). Besides pollen a variety of non-pollen palynomorphs, such as spores, fungi, algal and invertebrate remains, were also identified and counted when feasible. This study was additionally supported by a short-term grant (not numbered) from AWI Graduate School (POLMAR), and PhD Completion Scholarship (not numbered) provided by University of Potsdam.
    Keywords: Abies; Alnus; Alnus fruticosa; Amphitrema; Apiaceae; Artemisia; Asteraceae; AWI_Envi; AWI Arctic Land Expedition; Betula sect. Albae; Betula sect. Nanae; Boreal; Botryococcus; Brassicaceae; Caryophyllaceae; Cercophora; Chenopodiaceae; Chironomidae remains; Cichoriaceae; Closterium; Counting, palynology; Cyperaceae; DEPTH, sediment/rock; Diporotheca; EN20001_PC; EN20001, Lake Khamra; Encalypta; Equisetum; Ericales; Gelasinospora; Glomus; Indeterminata; Khamra 2020; Lake Khamra, SW Yakutia, Russia; Lake sediment; Lake sediment core; lake sediment proxies; Land cover; Larix; Lonicera; Lycopodium; Lycopodium annotinum-type; Lycopodium clavatum; Macrobiotus; Microthyrium; non-pollen palynomorphs; Nuphar; Ophioglossum; PCUWI; Pediastrum; Picea; Pinaceae: stomata; Pinus subgen. Diploxylon; Pinus subgen. Haploxylon; Piston corer, UWITEC; Plantago; Poaceae; Podospora; Polar Terrestrial Environmental Systems @ AWI; Pollen; Pollen, total; pollen analysis; pollen and spores; Polygonum amphibium-type; Polygonum viviparum-type; Polypodiaceae; Potamogeton; Pteridium; radiocarbon dating; Ranunculaceae; Riccia; Rosaceae; Rubus; RU-Land_2020_Khamra; Rumex; Russia; sakha; Sakha Republic; Salix; Sample volume; Sanguisorba; Selaginella sibirica; Siberia; Sordaria; Sphagnum; Spirogyra; Sporormiella; subarctic; Tardigrada: eggs; Thalictrum; TN; TOC; Valeriana; Vegetation; XRF; XRF core scanner data; Yakutia; Zygnema-type
    Type: Dataset
    Format: text/tab-separated-values, 1107 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 8
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    Abundance and biomass of Calanus spp. on western North Atlantic Shelves (Version 2) (2020)
    PANGAEA
    Details
    Publication Date: 2024-07-03
    Keywords: 1; 1.1; 1.2; 1.3; 1.4; 1.5; 10.1; 11; 11.1; 1121; 12.1; 2; 2.1; 2.2; 2.3; 2.4; 2.5; 2.6; 21; 3; 3.1; 3.2; 3.3; 3.4; 3.5; 3.6; 3.7; 3.8; 3.9; 31; 4; 4.1; 4.2; 4.3; 4.4; 4.5; 4.6; 4.7; 4.8; 4.9; 41; 5; 5.1; 5.2; 5.3; 5.4; 5.5; 5.6; 5.7; 51; 6; 6.1; 6.2; 6.3; 6.4; 6.5; 6.6; 6.7; 61; 6681; 7; 7.1; 7.2; 7.3; 7.4; 7.5; 7.6; 7.7; 8; 8.1; 8.2; 8.3; 8.4; 8.5; 8.6; 8.7; 800; 851; 9; 9.1; 9.2; 9.3; 9.4; 9.5; Atlantic Zone Monitoring Program; AZMP; AZMP_1.1; AZMP_1.2; AZMP_1.3; AZMP_1.4; AZMP_1.5; AZMP_10.1; AZMP_11; AZMP_11.1; AZMP_1121; AZMP_12.1; AZMP_2.1; AZMP_2.2; AZMP_2.3; AZMP_2.4; AZMP_2.5; AZMP_2.6; AZMP_21; AZMP_3.1; AZMP_3.2; AZMP_3.3; AZMP_3.4; AZMP_3.5; AZMP_3.6; AZMP_3.7; AZMP_3.8; AZMP_3.9; AZMP_31; AZMP_4.1; AZMP_4.2; AZMP_4.3; AZMP_4.4; AZMP_4.5; AZMP_4.6; AZMP_4.7; AZMP_4.8; AZMP_4.9; AZMP_41; AZMP_5; AZMP_5.1; AZMP_5.2; AZMP_5.3; AZMP_5.4; AZMP_5.5; AZMP_5.6; AZMP_5.7; AZMP_51; AZMP_6; AZMP_6.1; AZMP_6.2; AZMP_6.3; AZMP_6.4; AZMP_6.5; AZMP_6.6; AZMP_6.7; AZMP_6.8; AZMP_61; AZMP_6681; AZMP_7; AZMP_7.1; AZMP_7.2; AZMP_7.3; AZMP_7.4; AZMP_7.5; AZMP_7.6; AZMP_7.7; AZMP_8; AZMP_8.1; AZMP_8.2; AZMP_8.3; AZMP_8.4; AZMP_8.5; AZMP_8.6; AZMP_8.7; AZMP_800; AZMP_851; AZMP_9; AZMP_9.1; AZMP_9.2; AZMP_9.3; AZMP_9.4; AZMP_9.5; AZMP_BB01; AZMP_BB02; AZMP_BB03; AZMP_BB04; AZMP_BB05; AZMP_BB06; AZMP_BB07; AZMP_BB08; AZMP_BB09; AZMP_BB10; AZMP_BB11; AZMP_BB12; AZMP_BB13; AZMP_BB14; AZMP_BB15; AZMP_BBL-01; AZMP_BBL-02; AZMP_BBL-03; AZMP_BBL-04; AZMP_BBL-05; AZMP_BBL-06; AZMP_BBL-07; AZMP_CSL1; AZMP_CSL2; AZMP_CSL3; AZMP_CSL4; AZMP_CSL5; AZMP_CSL6; AZMP_FC01; AZMP_FC02; AZMP_FC03; AZMP_FC04; AZMP_FC05; AZMP_FC06; AZMP_FC07; AZMP_FC09; AZMP_FC10; AZMP_FC12; AZMP_FC13; AZMP_FC14; AZMP_FC15; AZMP_FC17; AZMP_FC18; AZMP_FC20; AZMP_FC21; AZMP_FC23; AZMP_FC24; AZMP_FC26; AZMP_FC29; AZMP_FC30; AZMP_FC31; AZMP_FC33; AZMP_FC35; AZMP_FC37; AZMP_HL-01; AZMP_HL-02; AZMP_HL-03; AZMP_HL-04; AZMP_HL-05; AZMP_HL-06; AZMP_HL-07; AZMP_LL-01; AZMP_LL-02; AZMP_LL-03; AZMP_LL-04; AZMP_LL-05; AZMP_LL-06; AZMP_LL-07; AZMP_LL-08; AZMP_LL-09; AZMP_MFD-SETNO049; AZMP_MFD-SETNO668; AZMP_MFD-SETNO916; AZMP_notassigned; AZMP_P5; AZMP_Riki-01; AZMP_Riki-02; AZMP_SEGB01; AZMP_SEGB02; AZMP_SEGB03; AZMP_SEGB04; AZMP_SEGB05; AZMP_SEGB06; AZMP_SEGB07; AZMP_SEGB08; AZMP_SEGB09; AZMP_SEGB10; AZMP_SEGB11; AZMP_SEGB12; AZMP_SEGB13; AZMP_SEGB14; AZMP_SEGB15; AZMP_SEGB16; AZMP_SEGB17; AZMP_SEGB19; AZMP_Shediac; AZMP_ShediacValley; AZMP_ShediacValleyMFD-SETNO668; AZMP_SI01; AZMP_SI02; AZMP_SI03; AZMP_SI04; AZMP_SI05; AZMP_SI06; AZMP_SI08; AZMP_SI09; AZMP_SI10; AZMP_SI12; AZMP_SI13; AZMP_STN27; AZMP_TASO1; AZMP_TASO2; AZMP_TASO3; AZMP_TASO4; AZMP_TASO5; AZMP_TBB1; AZMP_TBB2; AZMP_TBB3; AZMP_TBB4; AZMP_TBB5; AZMP_TBB6; AZMP_TBB7; AZMP_TCEN1; AZMP_TCEN2; AZMP_TCEN3; AZMP_TCEN4; AZMP_TCEN5; AZMP_TDC1; AZMP_TDC2; AZMP_TDC3; AZMP_TDC4; AZMP_TDC5; AZMP_TDC6; AZMP_TESL1; AZMP_TESL2; AZMP_TESL3; AZMP_TESL4; AZMP_TESL5; AZMP_TESL6; AZMP_TESL7; AZMP_TIDM1; AZMP_TIDM10; AZMP_TIDM2; AZMP_TIDM3; AZMP_TIDM4; AZMP_TIDM5; AZMP_TIDM6; AZMP_TIDM7; AZMP_TIDM8; AZMP_TIDM9; AZMP_TSI1; AZMP_TSI2; AZMP_TSI3; AZMP_TSI4; AZMP_TSI5; AZMP_TSI6; B; BB01; BB02; BB03; BB04; BB05; BB06; BB07; BB08; BB09; BB10; BB11; BB12; BB13; BB14; BB15; BBL-01; BBL-02; BBL-03; BBL-04; BBL-05; BBL-06; BBL-07; BT01_01; BT01_02; BT01_03; BT01_04; BT02_01; BT02_02; BT02_03; BT03_01; BT03_02; BT03_03; BT03_04; BT03_05; BT04_01; BT04_02; BT04_03; BT10_01; BT10_02; BT10_04; BT11_01; BT11_02; BT11_03; BT15.01.1; BT15.01.2; BT15.01.3; BT15.01.4; BT15.02.1; BT15.02.2; BT15.02.3; BT15.03.1; BT15.03.2; BT15.03.3; BT15.04.1; BT15.04.2; BT15.04.3; BT15.05.2; Calanus; Calanus finmarchicus, c1; Calanus finmarchicus, c2; Calanus finmarchicus, c3; Calanus finmarchicus, c4; Calanus finmarchicus, c4-c6; Calanus finmarchicus, c5; Calanus finmarchicus, c6; Calanus finmarchicus + Calanus glacialis; Calanus glacialis, c1; Calanus glacialis, c2; Calanus glacialis, c3; Calanus glacialis, c4; Calanus glacialis, c5; Calanus glacialis, c6; Calanus hyperboreus; Calanus hyperboreus, c1; Calanus hyperboreus, c2; Calanus hyperboreus, c3; Calanus hyperboreus, c4; Calanus hyperboreus, c4-c6; Calanus hyperboreus, c5; Calanus hyperboreus, c6; Calanus spp., dry mass; CAS-1; CAS-2; CAS-3; CAS-4; CBTS02; CBTS03; CF-1; CF-2; CF-3; CF-4; CF-5; CF-6; CF-7; CF-8; CH0712_101; CH0712_102; CH0712_103; CH0712_104; CH0712_105; CH0712_106; CH0712_107; CH0712_108; CH0712_112; CH0712_113; CH0712_114; CH0712_115; CH0712_305; CH0712_305A; CH0712_306; CH0712_307; CH0712_311; Comment; Cruise/expedition; CSL1; CSL2; CSL3; CSL4; CSL5; CSL6; CT-1; CT-3; DATE/TIME; Depth, bathymetric; DEPTH, water; DMC-1; DMC-2; DMC-E; Event label; FC01; FC02; FC03; FC04; FC05; FC06; FC07; FC09; FC10; FC12; FC13; FC14; FC15; FC17; FC18; FC20; FC21; FC23; FC24; FC26; FC29; FC30; FC31; FC33; FC35; FC37; foraging habitat; GA; GSB; Gulf of Maine-Georges Bank; Gulf of St. Lawrence; HL-01; HL-02; HL-03; HL-04; HL-05; HL-06; HL-07; Identification; interannual variability; JL; LATITUDE; LL-01; LL-02; LL-03; LL-04; LL-05; LL-06; LL-07; LL-08; LL-09; Location; LONGITUDE; MARMAP_ECOMON; Mesh size; Method comment; MFD-SETNO049; MFD-SETNO668; MFD-SETNO916; MON-1; MON-3; MON-4; MON-5; MULT; Multiple investigations; Newfoundland-Labrador-Shelves; North Atlantic right whale; not assigned; P1; P2; P5; PI; PII; Riki-01; Riki-02; S; SB1; SB2; Scotian Shelf; SEGB01; SEGB02; SEGB03; SEGB04; SEGB05; SEGB06; SEGB07; SEGB08; SEGB09; SEGB10; SEGB11; SEGB12; SEGB13; SEGB14; SEGB15; SEGB16; SEGB17; SEGB19; Shediac; Shediac Valley; Shediac Valley MFD-SETNO668; SI01; SI02; SI03; SI04; SI05; SI06; SI08; SI09; SI10; SI12; SI13; Station label; STN27; TASO1; TASO2; TASO3; TASO4; TASO5; TBB1; TBB2; TBB3; TBB4; TBB5; TBB6; TBB7; TCEN1; TCEN2; TCEN3; TCEN4; TCEN5; TDC1; TDC2; TDC3; TDC4; TDC5; TDC6; TESL1; TESL2; TESL3; TESL4; TESL5; TESL6; TESL7; TIDM1; TIDM10; TIDM2; TIDM3; TIDM4; TIDM5; TIDM6; TIDM7; TIDM8; TIDM9; Transect; TSI1; TSI2; TSI3; TSI4; TSI5; TSI6; WB-2; WB-3; WB-4; WB-5; WB-7; WB-D; western_GoM_1; western_GoM_2; western_GoM_3; western_GoM_4; western_GoM_5; western_GoM_B; western_GoM_BT01_01; western_GoM_BT01_02; western_GoM_BT01_03; western_GoM_BT01_04; western_GoM_BT02_01; western_GoM_BT02_02; western_GoM_BT02_03; western_GoM_BT03_01; western_GoM_BT03_02; western_GoM_BT03_03; western_GoM_BT03_04; western_GoM_BT03_05; western_GoM_BT04_01; western_GoM_BT04_02; western_GoM_BT04_03; western_GoM_BT10_01; western_GoM_BT10_02; western_GoM_BT10_04; western_GoM_BT11_01; western_GoM_BT11_02; western_GoM_BT11_03; western_GoM_BT15.01.1; western_GoM_BT15.01.2; western_GoM_BT15.01.3; western_GoM_BT15.01.4; western_GoM_BT15.02.1; western_GoM_BT15.02.2; western_GoM_BT15.02.3; western_GoM_BT15.03.1; western_GoM_BT15.03.2; western_GoM_BT15.03.3; western_GoM_BT15.04.1; western_GoM_BT15.04.2; western_GoM_BT15.04.3; western_GoM_BT15.05.2; western_GoM_CAS-1; western_GoM_CAS-2; western_GoM_CAS-3; western_GoM_CAS-4; western_GoM_CBTS02; western_GoM_CBTS03; western_GoM_CF-1; western_GoM_CF-2; western_GoM_CF-3; western_GoM_CF-4; western_GoM_CF-5; western_GoM_CF-6; western_GoM_CF-7; western_GoM_CF-8; western_GoM_CH0712_101; western_GoM_CH0712_102; western_GoM_CH0712_103; western_GoM_CH0712_104; western_GoM_CH0712_105; western_GoM_CH0712_106; western_GoM_CH0712_107; western_GoM_CH0712_108; western_GoM_CH0712_112; western_GoM_CH0712_113; western_GoM_CH0712_114; western_GoM_CH0712_115; western_GoM_CH0712_305; western_GoM_CH0712_305A; western_GoM_CH0712_306; western_GoM_CH0712_307; western_GoM_CH0712_311; western_GoM_CT-1; western_GoM_CT-3; western_GoM_DMC-1; western_GoM_DMC-2; western_GoM_DMC-E; western_GoM_GA; western_GoM_GSB; western_GoM_JL; western_GoM_MON-1; western_GoM_MON-3; western_GoM_MON-4; western_GoM_MON-5; western_GoM_P1; western_GoM_P2; western_GoM_PI; western_GoM_PII; western_GoM_S; western_GoM_SB1; western_GoM_SB2; western_GoM_WB-2; western_GoM_WB-3; western_GoM_WB-4; western_GoM_WB-5; western_GoM_WB-7; western_GoM_WB-D; Zooplankton
    Type: Dataset
    Format: text/tab-separated-values, 608373 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 9
    facet.materialart.
    Unknown
    Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany, 2022-08 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-03
    Description: Data presented here were collected between January 2022 to December 2023 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Meteorological data were collected near the experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Processcontrol Weather (c) -4H- JENA engineering GmbH (v20.1.0.1 2020) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
    Keywords: ALTITUDE; Automated weather station, Thies Clima, Clima Sensor US 4.920x.00.00x; Automatic weather station; AWS; BEFmate; biodiversity - ecosystem functioning; Brightness, east; Brightness, maximum; Brightness, north; Brightness, south; Brightness, west; Brightness direction; DATE/TIME; DynaCom; DynaCom weather station; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; Humidity, relative; Indicator for inclusion or ommission of precipitation data; Metacommunity; meteorology; Precipitation; Precipitation, daily total; Precipitation description; Pressure, atmospheric; salt marsh; SCO; Solar azimuth angle; Solar elevation angle; Spiekeroog; Spiekeroog, German Bight, North Sea; Spiekeroog Coastal Observatory; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 548290 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 10
    facet.materialart.
    Unknown
    Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany, 2022-12 (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-03
    Description: Data presented here were collected between January 2022 to December 2023 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Meteorological data were collected near the experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Processcontrol Weather (c) -4H- JENA engineering GmbH (v20.1.0.1 2020) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
    Keywords: ALTITUDE; Automated weather station, Thies Clima, Clima Sensor US 4.920x.00.00x; Automatic weather station; AWS; BEFmate; biodiversity - ecosystem functioning; Brightness, east; Brightness, maximum; Brightness, north; Brightness, south; Brightness, west; Brightness direction; DATE/TIME; DynaCom; DynaCom weather station; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; Humidity, relative; Indicator for inclusion or ommission of precipitation data; Metacommunity; meteorology; Precipitation; Precipitation, daily total; Precipitation description; Pressure, atmospheric; salt marsh; SCO; Solar azimuth angle; Solar elevation angle; Spiekeroog; Spiekeroog, German Bight, North Sea; Spiekeroog Coastal Observatory; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 376068 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
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