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  • 2020-2024  (9,902)
  • 1960-1964  (6)
  • 2024  (9,902)
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  • 1
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    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; FUA; Fukuoka; Horizontal visibility; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 231538 data points
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  • 2
    Publication Date: 2024-07-06
    Description: Particle number size distributions (PNSD) in the mobility diameter range of 10 nm to 800 nm were measured using a Mobility Particle Size Spectrometer (MPSS, TROPOS-built; Wiedensohler et al., 2012). During HALO–(AC)³, the MPSS was situated in the aerosol rack (with a compact filter sampler and a miniature CCN counter) onboard Polar 6 and permanently connected to the standard aerosol inlet (Leaitch et al., 2016). Near isokinetic sampling was established for the majority of the flight time by restricting the total aerosol flow through the sampling line (outer diameter 0.75 inch) with the help of a valve. With this, an upper cut-off diameter of roughly 4 µm could be achieved. Each scan of the entire particle size range took approximately 5 min. Data are provided as bin-wise log-normal particle number (dN/dlogDp) for P6 RF01–13. For each of the 40 size bins, the bin's midpoint diameter (Dp) is given. The start and end of each scan is given. Each PNSD was integrated over all Dp to obtain the total particle number concentration (Ntotal). A data flag is given to indicate when sampling was under near-isokinetic conditions. For each scan, the given geolocation is the centroid of P6's flighttrack within the scan's duration. Analogous, the given altitude is the mean altitude of P6 over each scan's duration. All concentration values have been corrected to standard conditions (1013.0 hPa and 273.15 K).
    Keywords: AC; AC3; Aircraft; Arctic; Arctic Amplification; DATE/TIME; Event label; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220320_P6_RF01; HALO-AC3_20220324_P6_RF03; HALO-AC3_20220326_P6_RF04; HALO-AC3_20220329_P6_RF06; HALO-AC3_20220330_P6_RF07; HALO-AC3_20220401_P6_RF08; HALO-AC3_20220404_P6_RF09; HALO-AC3_20220405_P6_RF10; HALO-AC3_20220408_P6_RF11; HALO-AC3_20220410_P6_RF13; LATITUDE; Log-normal particle size distribution; LONGITUDE; Mobility Particle Size Spectrometer, TROPOS-built, Wiedensohler et al., 2012; P6_231_HALO_2022_2203200401; P6_231_HALO_2022_2203240601; P6_231_HALO_2022_2203260702; P6_231_HALO_2022_2203290901; P6_231_HALO_2022_2203301001; P6_231_HALO_2022_2204011101; P6_231_HALO_2022_2204041201; P6_231_HALO_2022_2204051301; P6_231_HALO_2022_2204081401; P6_231_HALO_2022_2204101601; P6-231_HALO_2022; Particle number; Polar 6; POLAR 6; Quality flag
    Type: Dataset
    Format: text/tab-separated-values, 27520 data points
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  • 3
    Publication Date: 2024-07-06
    Description: This data contains monitoring data of the RV ALKOR cruise AL606 conducted in January 2024 (January 22nd – January 20th) in the Western Baltic Sea by the University of Hamburg. The cruise was part of the 5-year monitoring programme Winter cod 2021-25 (Monitoring winter spawning activity of Western Baltic cod (Gadus morhua) (2021-25)) of the University of Hamburg aiming at investigating the early-winter spawning activity of Western Baltic cod to identify potential climate-induced shifts in spawning phenology. The data set includes station data (i.e. action log) of the cruise.
    Keywords: Activity description; AL606; AL606_0_Underway-1; AL606_0_Underway-2; AL606_10-1; AL606_10-2; AL606_1-1; AL606_11-1; AL606_11-2; AL606_1-2; AL606_12-1; AL606_12-2; AL606_13-1; AL606_13-2; AL606_14-1; AL606_14-2; AL606_15-1; AL606_15-2; AL606_16-1; AL606_16-2; AL606_17-1; AL606_17-2; AL606_18-1; AL606_18-2; AL606_19-1; AL606_19-2; AL606_20-1; AL606_20-2; AL606_2-1; AL606_21-1; AL606_21-2; AL606_2-2; AL606_22-1; AL606_22-2; AL606_23-1; AL606_23-2; AL606_24-1; AL606_24-2; AL606_25-1; AL606_25-2; AL606_26-1; AL606_26-2; AL606_27-1; AL606_27-2; AL606_28-1; AL606_29-1; AL606_30-1; AL606_3-1; AL606_31-1; AL606_3-2; AL606_32-1; AL606_33-1; AL606_33-2; AL606_34-1; AL606_34-2; AL606_35-1; AL606_36-1; AL606_36-2; AL606_37-1; AL606_38-1; AL606_38-2; AL606_39-1; AL606_39-2; AL606_40-1; AL606_40-2; AL606_40-3; AL606_40-4; AL606_4-1; AL606_41-1; AL606_41-2; AL606_41-3; AL606_4-2; AL606_42-1; AL606_42-2; AL606_43-1; AL606_43-2; AL606_44-1; AL606_44-2; AL606_45-1; AL606_45-2; AL606_46-1; AL606_46-2; AL606_47-1; AL606_47-2; AL606_48-1; AL606_48-2; AL606_49-1; AL606_49-2; AL606_50-1; AL606_50-2; AL606_5-1; AL606_51-1; AL606_51-2; AL606_5-2; AL606_52-1; AL606_52-2; AL606_53-1; AL606_53-2; AL606_54-1; AL606_54-2; AL606_55-1; AL606_56-1; AL606_56-2; AL606_57-1; AL606_58-1; AL606_58-2; AL606_59-1; AL606_59-2; AL606_60-1; AL606_60-2; AL606_6-1; AL606_61-1; AL606_61-2; AL606_6-2; AL606_62-1; AL606_62-2; AL606_63-1; AL606_63-2; AL606_63-3; AL606_63-4; AL606_64-1; AL606_64-2; AL606_65-1; AL606_66-1; AL606_66-2; AL606_67-1; AL606_68-1; AL606_68-2; AL606_69-1; AL606_69-2; AL606_70-1; AL606_70-2; AL606_7-1; AL606_71-1; AL606_7-2; AL606_72-1; AL606_72-2; AL606_73-1; AL606_73-2; AL606_74-1; AL606_75-1; AL606_75-2; AL606_76-1; AL606_76-2; AL606_77-1; AL606_77-2; AL606_78-1; AL606_78-2; AL606_79-1; AL606_8-1; AL606_8-2; AL606_9-1; AL606_9-2; Alkor (1990); BONGO; Bongo net; Bottom trawl; BT; Campaign; Comment; Course; CTD/Rosette; CTD-RO; DAM sustainMare - SpaCeParti: Coastal Fishery, Biodiversity, Spatial Use and Climate Change: A Participative Approach to navigate the Western Baltic Sea into a Sustainable Future; DATE/TIME; Depth, bathymetric; Event label; Fishing rod; FR; Gear; LATITUDE; LONGITUDE; MSN; Multiple opening/closing net; Operation mode; Operation number; Research Mission of the German Marine Research Alliance (DAM): Protection and sustainable use of marine areas; SpaCeParti; Speed; Station label; Status; sustainMare; Thermosalinograph; TSG; Wind speed; Winter cod 2021-25
    Type: Dataset
    Format: text/tab-separated-values, 4017 data points
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  • 4
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; FUA; Fukuoka; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 20741 data points
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  • 5
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; FUA; Fukuoka; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 25344 data points
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  • 6
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Abashiri; ABS; Air temperature at 2 m height; 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; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 235378, WRMC No. 86011; Pyranometer, Kipp & Zonen, CMP22, SN 230941, WRMC No. 86012; Pyrgeometer, Kipp & Zonen, CGR4, SN 090112, WRMC No. 86004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140044, WRMC No. 86001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 847434 data points
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  • 7
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    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Abashiri; ABS; Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 267807 data points
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  • 8
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Abashiri; ABS; Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 259200 data points
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  • 9
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    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Abashiri; ABS; Air temperature at 2 m height; 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; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 235378, WRMC No. 86011; Pyranometer, Kipp & Zonen, CMP22, SN 230941, WRMC No. 86012; Pyrgeometer, Kipp & Zonen, CGR4, SN 090112, WRMC No. 86004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140044, WRMC No. 86001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 819968 data points
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  • 10
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; ISH; Ishigakijima; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 259200 data points
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  • 11
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    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; ISH; Ishigakijima; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 31417 data points
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  • 12
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    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 31719 data points
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  • 13
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; ISH; Ishigakijima; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 25999 data points
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  • 14
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; HYGRO; Hygrometer; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 215775 data points
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  • 15
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Air temperature at 2 m height; 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; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090232, WRMC No. 8002; Pyranometer, Kipp & Zonen, CMP 22, SN 090102, WRMC No. 8003; Pyrgeometer, Kipp & Zonen, CGR4, SN 090113, WRMC No. 8004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090144, WRMC No. 8001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 720356 data points
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  • 16
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Air temperature at 2 m height; 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; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090232, WRMC No. 8002; Pyranometer, Kipp & Zonen, CMP 22, SN 090102, WRMC No. 8003; Pyrgeometer, Kipp & Zonen, CGR4, SN 090113, WRMC No. 8004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090144, WRMC No. 8001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 808105 data points
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  • 17
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    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Air temperature at 2 m height; 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; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090232, WRMC No. 8002; Pyranometer, Kipp & Zonen, CMP 22, SN 090102, WRMC No. 8003; Pyrgeometer, Kipp & Zonen, CGR4, SN 090113, WRMC No. 8004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090144, WRMC No. 8001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 835580 data points
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  • 18
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Air temperature at 2 m height; 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; ISH; Ishigakijima; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 235379, WRMC No. 7006; Pyranometer, Kipp & Zonen, CMP22, SN 230942, WRMC No. 7007; Pyrgeometer, Kipp & Zonen, CGR4, SN 090114, WRMC No. 7004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100227, WRMC No. 16041; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 847972 data points
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  • 19
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Air temperature at 2 m height; 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; ISH; Ishigakijima; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 235379, WRMC No. 7006; Pyranometer, Kipp & Zonen, CMP22, SN 230942, WRMC No. 7007; Pyrgeometer, Kipp & Zonen, CGR4, SN 090114, WRMC No. 7004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100227, WRMC No. 16041; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 847868 data points
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  • 20
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; HYGRO; Hygrometer; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 221214 data points
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  • 21
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; HYGRO; Hygrometer; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 207304 data points
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  • 22
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; ISH; Ishigakijima; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 267643 data points
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  • 23
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Air temperature at 2 m height; 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; ISH; Ishigakijima; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090231, WRMC No. 4006/86006; Pyranometer, Kipp & Zonen, CMP22, SN 090101, WRMC No. 4007; Pyrgeometer, Kipp & Zonen, CGR4, SN 090114, WRMC No. 7004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090145, WRMC No. 7001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 790408 data points
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  • 24
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; ISH; Ishigakijima; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 29324 data points
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  • 25
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; HYGRO; Hygrometer; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 215190 data points
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  • 26
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; ISH; Ishigakijima; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 267838 data points
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  • 27
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; HYGRO; Hygrometer; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 223200 data points
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  • 28
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 28787 data points
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  • 29
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 30109 data points
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  • 30
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 25930 data points
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  • 31
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Air temperature at 2 m height; 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; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 235382, WRMC No. 8009; Pyranometer, Kipp & Zonen, CMP22, SN 230944, WRMC No. 8011; Pyrgeometer, Kipp & Zonen, CGR4, SN 090113, WRMC No. 8004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090144, WRMC No. 8001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 837732 data points
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  • 32
    Publication Date: 2024-07-06
    Description: We investigated seawater microbial abundance, activity and diversity throughthree laboratory-controlled bottle incubations mimicking different mixing scenarios between SGD (either ambient or filtered through 0.1 µm/0.22 µm) and seawater to determine the contribution of SGD to the coastal microbial community. The experiments were conducted with five different treatments (including ambient seawater not exposed to SGD) in triplicates. The first experiment (Exp. 1) was designed to test the relative contribution of brackish discharged groundwater (salinity = 7.9 ppt vs. the ambient salinity of the SEMS of ~39.5 ppt) on the microbial productivity and abundance of reference coastal seawater by mixing different ratios (1, 5, 10 and 20% v:v) of discharged groundwater. Discharged groundwater was collected into acid-cleaned containers on the day the experiment was initiated near Achziv Nature Reserve (33° 3′52 N, 35° 6′14.94 E). The second and third experiments (Exp. 2; Exp.3) were designed to extend Exp. 1 and aimed to specifically investigate how groundwater-derived microorganisms affect the activity and abundance of marine organisms once discharged into the sea. For these experiments, fresh groundwater (FGW) was collected from drilling wells and pumped into 20 L acid-cleaned sample-rinsed carboys the same day the experiment was initiated. At the laboratory, fresh groundwater was either filtered through a 0.1 μm polycarbonate filter (Exp. 2) or serially filtered through 0.22 and 0.1 μm polycarbonate filter (Exp. 3) and the filtrate was added to seawater in different mixing scenarios. Ambient coastal seawater was collected by pumping at the Israel Oceanographic and Limnological Research Institute (IOLR) into acid-cleaned carboys, and mixed with either brackish groundwater (Exp.1) or fresh groundwater (Exp. 2, Exp. 3) at the desired ratios and filtration size. The duration of the experiments was 3-5 days, and samples were taken for the following analyses: chlorophyll a (Exp. 1 & 2, every 24Hr.), dissolved nutrient concentrations (Exp. 2 & 3 T zero and T final), flow cytometry (bacterial and phytoplankton abundance, every 24Hr.), primary and heterotrophic production rates (Exp. 1 & 2, every 24Hr.; Exp. 3 T zero and T final). Currently, little is known about the interactions between groundwater-borne and coastal seawater microbial populations, and groundwater microbes' role upon introduction to coastal seawater populations. Here, we investigated seawater microbial abundance, activity and diversity through laboratory-controlled bottle incubations mimicking different mixing scenarios between SGD (either ambient or filtered through 0.1 µm/0.22 µm) and seawater.
    Keywords: Acoustic Focusing Flow Cytometer, Applied Biosystems, Attune; equipped with a syringe based fluidic system and 488 and 405 nm lasers; Ammonia; autotrophic organisms; Chlorophyll a; coastal ecosystem; Date; Event label; experiment; Flow injection analyzer, Lachat Instruments, QuikChem 8000; Heterotrophic prokaryotes; LATITUDE; Liquid scintillation counter, Packard, TRI-CARB 2100 TR; LONGITUDE; microbial community; Nitrate; Phosphate; Portable peristaltic pump, Cole-Parmer, Masterflex; Primary production of carbon; Prochlorococcus; Prokaryotes; Prokaryotes, production as carbon; SGD_Experiment_1; SGD_Experiment_2; SGD_Experiment_3; Silicate; Submarine groundwater discharge; subterranean estuary; Synechococcus; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 1382 data points
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  • 33
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Air temperature at 2 m height; 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; FUA; Fukuoka; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090230, WRMC No. 6003; Pyranometer, Kipp & Zonen, CMP22, SN 090100, WRMC No. 6004; Pyrgeometer, Kipp & Zonen, CGR4, SN 090121, WRMC No. 6005; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090142, WRMC No. 6002; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 847232 data points
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  • 34
    Publication Date: 2024-07-06
    Description: We investigated seawater microbial abundance, activity and diversity in a site strongly influenced by submarine groundwater discharge (SGD). We combined in-situ observations and laboratory-controlled bottle incubations mimicking different mixing scenarios between SGD (either ambient or filtered through 0.1 µm/0.22 µm) and seawater. Three sampling campaigns (August 2020, February 2021 and July 2021) were conducted at a field site, highly influenced by SGD (Achziv, northern Israel), which we recently compared to a reference site (Shikmona) at the oligotrophic Israeli shallow rocky coast. Each field campaign lasted 2-5 days and covered at least 2 tidal cycles. Porewater samples were collected on the shoreline using piezometers (AMS piezometers that reach depths of 〈2 meters) and a portable peristaltic pump. The density (g cm-3), electric conductivity (mS/cm), temperature (°C) and pH, of surface seawater, porewater and groundwater were measured on-site at the time of the sampling. Samples for microbial analysis were collected from the piezometers and divided to aliquots: 1. For community analysis, samples were immediately filtered through polycarbonate 0.2 μm pore size filters, which were kept on ice and transported to the laboratory on the same day. Filter samples were stored frozen (-20°C) until DNA extraction (filtered porewater were kept for dissolved nutrient measurements. After thawing, each filter was cut into small pieces using a sterile scalpel blade, which was placed immediately into PowerSoil DNA bead tubes and extracted with the dNeasy PowerSoil Kit (Qiagen, USA) following the standard protocol. To generate 16S rRNA gene libraries, the V3–V4 hypervariable region of the 16S gene was amplified and sequenced on the Illumina MiSeq platform. Quality-filtered reads were imported into QIIME 2 platform, denoised, dereplicated, clustered and trimmed using the DADA2 plugin. Taxonomic assignment of the ASVs was achieved against the Silva database. The ASV table is provided under "additional metadata". Raw data from Illumina MiSeq sequencing are deposited to the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) under BioProject number PRJNA973031 (will be available upon publication). 2. For Pico-/nano-phytoplankton and heterotrophic prokaryotic abundance, non-filtered samples were chilled on ice and transported to the laboratory on the same day. Samples (1.8 mL) were fixed with glutaraldehyde (final concentration 0.02 % v:v, Sigma-Aldrich 253 G7651), frozen in liquid nitrogen, and later stored at −80°C until analysis. The abundance of autotrophic pico- and nano-eukaryotes, Synechococcus and Prochlorococcus, and other heterotrophic prokaryotes (bacteria and archaea) was determined using an Attune® Acoustic Focusing Flow Cytometer (Applied Biosystems) equipped with a syringe based fluidic system and 488 and 405 nm lasers. To measure heterotrophic prokaryote abundance, a sample aliquot was stained with SYBR Green (Applied Biosystems). 3. Prokaryotic (bacteria and archaea) heterotrophic production was estimated using the 3H-leucine incorporation method. Photosynthetic carbon fixation rates were estimated using the 14C incorporation method.
    Keywords: autotrophic organisms; coastal ecosystem; Heterotrophic prokaryotes; microbial community; Submarine groundwater discharge; subterranean estuary
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 35
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Abashiri; ABS; Air temperature at 2 m height; 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; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 235378, WRMC No. 86011; Pyranometer, Kipp & Zonen, CMP22, SN 230941, WRMC No. 86012; Pyrgeometer, Kipp & Zonen, CGR4, SN 090112, WRMC No. 86004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140044, WRMC No. 86001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 847534 data points
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  • 36
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Abashiri; ABS; Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 267650 data points
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  • 37
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Abashiri; ABS; Air temperature at 2 m height; 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; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 235378, WRMC No. 86011; Pyranometer, Kipp & Zonen, CMP22, SN 230941, WRMC No. 86012; Pyrgeometer, Kipp & Zonen, CGR4, SN 090112, WRMC No. 86004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140044, WRMC No. 86001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 847776 data points
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  • 38
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; FUA; Fukuoka; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 23922 data points
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  • 39
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; FUA; Fukuoka; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 28695 data points
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  • 40
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Abashiri; ABS; ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 24007 data points
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  • 41
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; FUA; Fukuoka; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 208800 data points
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  • 42
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; FUA; Fukuoka; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 223088 data points
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  • 43
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; FUA; Fukuoka; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 223200 data points
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  • 44
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Abashiri; ABS; ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 24393 data points
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  • 45
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 28054 data points
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  • 46
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Air temperature at 2 m height; 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; ISH; Ishigakijima; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 235379, WRMC No. 7006; Pyranometer, Kipp & Zonen, CMP22, SN 230942, WRMC No. 7007; Pyrgeometer, Kipp & Zonen, CGR4, SN 090114, WRMC No. 7004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100227, WRMC No. 16041; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 820624 data points
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  • 47
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 27470 data points
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  • 48
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Air temperature at 2 m height; 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; ISH; Ishigakijima; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 235379, WRMC No. 7006; Pyranometer, Kipp & Zonen, CMP22, SN 230942, WRMC No. 7007; Pyrgeometer, Kipp & Zonen, CGR4, SN 090114, WRMC No. 7004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100227, WRMC No. 16041; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 830844 data points
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  • 49
    Publication Date: 2024-07-06
    Description: This data contains monitoring data of the RV ALKOR cruise AL607 conducted in February 2024 (February 10th – February 16th) in the Western Baltic Sea by the University of Hamburg. Sampling activities conducted during this teaching cruise was part of the international sampling efforts to investigate the spawning activity of Western Baltic cod (Gadus morhua) coordinated by the Western Baltic cod Forum (WBCF). The data set includes station data (i.e. action log) of the cruise.
    Keywords: Activity description; AL607; AL607_10-1; AL607_10-2; AL607_1-1; AL607_11-1; AL607_11-2; AL607_1-2; AL607_12-1; AL607_1-3; AL607_13-1; AL607_13-2; AL607_1-4; AL607_14-1; AL607_14-2; AL607_1-5; AL607_15-1; AL607_15-2; AL607_1-6; AL607_16-1; AL607_16-2; AL607_16-3; AL607_16-4; AL607_17-1; AL607_17-2; AL607_18-1; AL607_18-2; AL607_18-3; AL607_19-1; AL607_19-2; AL607_20-1; AL607_20-2; AL607_2-1; AL607_21-1; AL607_21-2; AL607_2-2; AL607_22-1; AL607_22-2; AL607_23-1; AL607_23-2; AL607_24-1; AL607_24-2; AL607_25-1; AL607_25-2; AL607_26-1; AL607_26-2; AL607_27-1; AL607_27-2; AL607_28-1; AL607_28-2; AL607_29-1; AL607_29-2; AL607_30-1; AL607_30-2; AL607_3-1; AL607_31-1; AL607_31-2; AL607_3-2; AL607_32-1; AL607_32-2; AL607_33-1; AL607_33-2; AL607_34-1; AL607_34-2; AL607_35-1; AL607_35-2; AL607_36-1; AL607_36-2; AL607_37-1; AL607_37-2; AL607_38-1; AL607_38-2; AL607_39-1; AL607_40-1; AL607_40-2; AL607_40-3; AL607_40-4; AL607_40-5; AL607_40-6; AL607_40-7; AL607_4-1; AL607_41-1; AL607_4-2; AL607_5-1; AL607_5-2; AL607_6-1; AL607_6-2; AL607_7-1; AL607_7-2; AL607_8-1; AL607_8-2; AL607_9-1; AL607_9-2; Alkor (1990); APN; Apstein plankton net; Baltic Sea; BONGO; Bongo net; Bottom trawl; BT; BUCKET; Bucket water sampling; Campaign; cod monitoring data; Comment; Course; CTD/Rosette; CTD-RO; DAM sustainMare - SpaCeParti: Coastal Fishery, Biodiversity, Spatial Use and Climate Change: A Participative Approach to navigate the Western Baltic Sea into a Sustainable Future; DATE/TIME; Depth, bathymetric; Event label; Gadus morhua; Gear; LATITUDE; LONGITUDE; MSN; Multiple opening/closing net; Operation mode; Operation number; Research Mission of the German Marine Research Alliance (DAM): Protection and sustainable use of marine areas; RV ALKOR; SeaRanger; SpaCeParti; Speed; Station label; Status; sustainMare; Western Baltic; Wind speed; winter; WP2; WP-2 towed closing plankton net
    Type: Dataset
    Format: text/tab-separated-values, 2469 data points
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  • 50
    Publication Date: 2024-07-06
    Description: This data contains monitoring data of the RV ALKOR cruise AL607 conducted in February 2024 (February 10th – February 16th) in the Western Baltic Sea by the University of Hamburg. Sampling activities conducted during this teaching cruise was part of the international sampling efforts to investigate the spawning activity of Western Baltic cod (Gadus morhua) coordinated by the Western Baltic cod Forum (WBCF). The data set includes cod single fish analysis data. All single fish measurements were made directly on board. Full wet weights of cod were measured and subsequently cod were gutted and liver weights, gonad weights and sexes, gutted wet weights (i.e., gutted wet mass), gonad stages and liver nematode infestations were recorded, and Otoliths were taken.
    Keywords: AL607; AL607_11-2; AL607_12-1; AL607_16-2; AL607_39-1; AL607_41-1; Alkor (1990); Bottom trawl; BT; cod monitoring data; Cruise/expedition; DAM sustainMare - SpaCeParti: Coastal Fishery, Biodiversity, Spatial Use and Climate Change: A Participative Approach to navigate the Western Baltic Sea into a Sustainable Future; DATE/TIME; DEPTH, water; Determination of gonadal maturity according to Tomkiewicz et al. (2002); Event label; Fish measuring board; Gadus morhua; Gadus morhua, gonad, wet mass; Gadus morhua, gonadal stage; Gadus morhua, gutted wet mass; Gadus morhua, liver, wet mass; Gadus morhua, parasitic nematodes in liver; Gadus morhua, sex; Gadus morhua, total length; Gadus morhua, wet mass; Haul; Individual ID; LATITUDE; LONGITUDE; Marine scale, Marel, M2200; Otolith; Research Mission of the German Marine Research Alliance (DAM): Protection and sustainable use of marine areas; RV ALKOR; SeaRanger; SpaCeParti; Station label; sustainMare; Western Baltic Sea; winter
    Type: Dataset
    Format: text/tab-separated-values, 424 data points
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; FUA; Fukuoka; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 27328 data points
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Abashiri; ABS; ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 22141 data points
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Abashiri; ABS; ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 21733 data points
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Air temperature at 2 m height; 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; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 235382, WRMC No. 8009; Pyranometer, Kipp & Zonen, CMP22, SN 230944, WRMC No. 8011; Pyrgeometer, Kipp & Zonen, CGR4, SN 090113, WRMC No. 8004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090144, WRMC No. 8001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 784402 data points
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Air temperature at 2 m height; 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; FUA; Fukuoka; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090230, WRMC No. 6003; Pyranometer, Kipp & Zonen, CMP22, SN 090100, WRMC No. 6004; Pyrgeometer, Kipp & Zonen, CGR4, SN 090121, WRMC No. 6005; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090142, WRMC No. 6002; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 848120 data points
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Abashiri; ABS; Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 267774 data points
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Abashiri; ABS; Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 250328 data points
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; FUA; Fukuoka; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 223200 data points
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  • 59
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Abashiri; ABS; Air temperature at 2 m height; 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; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 235378, WRMC No. 86011; Pyranometer, Kipp & Zonen, CMP22, SN 230941, WRMC No. 86012; Pyrgeometer, Kipp & Zonen, CGR4, SN 090112, WRMC No. 86004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140044, WRMC No. 86001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 792856 data points
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  • 60
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Abashiri; ABS; Air temperature at 2 m height; 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; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 235378, WRMC No. 86011; Pyranometer, Kipp & Zonen, CMP22, SN 230941, WRMC No. 86012; Pyrgeometer, Kipp & Zonen, CGR4, SN 090112, WRMC No. 86004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140044, WRMC No. 86001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 847010 data points
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  • 61
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Abashiri; ABS; ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 26985 data points
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  • 62
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; FUA; Fukuoka; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 29000 data points
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  • 63
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; FUA; Fukuoka; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 215886 data points
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  • 64
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; ISH; Ishigakijima; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 26238 data points
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; ISH; Ishigakijima; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 30615 data points
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  • 66
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; ISH; Ishigakijima; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 250560 data points
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  • 67
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; ISH; Ishigakijima; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 267646 data points
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  • 68
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Air temperature at 2 m height; 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; ISH; Ishigakijima; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 235379, WRMC No. 7006; Pyranometer, Kipp & Zonen, CMP22, SN 230942, WRMC No. 7007; Pyrgeometer, Kipp & Zonen, CGR4, SN 090114, WRMC No. 7004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100227, WRMC No. 16041; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 793344 data points
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  • 69
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; HYGRO; Hygrometer; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 223200 data points
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  • 70
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; ISH; Ishigakijima; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 267812 data points
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  • 71
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Abashiri; ABS; Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 267545 data points
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  • 72
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Abashiri; ABS; ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 26664 data points
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  • 73
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Air temperature at 2 m height; 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; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 235382, WRMC No. 8009; Pyranometer, Kipp & Zonen, CMP22, SN 230944, WRMC No. 8011; Pyrgeometer, Kipp & Zonen, CGR4, SN 090113, WRMC No. 8004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090144, WRMC No. 8001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 839820 data points
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  • 74
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; ISH; Ishigakijima; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 28552 data points
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  • 75
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Air temperature at 2 m height; 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; FUA; Fukuoka; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090230, WRMC No. 6003; Pyranometer, Kipp & Zonen, CMP22, SN 090100, WRMC No. 6004; Pyrgeometer, Kipp & Zonen, CGR4, SN 090121, WRMC No. 6005; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090142, WRMC No. 6002; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 847620 data points
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  • 76
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Air temperature at 2 m height; 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; FUA; Fukuoka; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090230, WRMC No. 6003; Pyranometer, Kipp & Zonen, CMP22, SN 090100, WRMC No. 6004; Pyrgeometer, Kipp & Zonen, CGR4, SN 090121, WRMC No. 6005; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090142, WRMC No. 6002; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 820554 data points
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  • 77
    Publication Date: 2024-07-06
    Description: We investigated seawater microbial abundance, activity and diversity in a site strongly influenced by submarine groundwater discharge (SGD). Three sampling campaigns (August 2020, February 2021 and July 2021) were conducted at a field site, highly influenced by SGD (Achziv, northern Israel), Each field campaign lasted 2-5 days and covered at least 2 tidal cycles. Pore-water samples were collected on the shoreline using piezometers (AMS piezometers that reach depths of 〈2 meters) and a portable peristaltic pump. The density (g cm-3), electric conductivity (mS/cm), temperature (°C) and pH, of surface seawater, porewater and groundwater were measured on-site at the time of the sampling. Samples for microbial analysis were collected from the piezometers and divided to aliquots: 1. For community analysis, samples were immediately filtered through polycarbonate 0.2 μm pore size filters, which were kept on ice and transported to the laboratory on the same day. Filter samples were stored frozen (-20°C) until DNA extraction (filtered pore-water were kept for dissolved nutrient measurements. After thawing, each filter was cut into small pieces using a sterile scalpel blade, which was placed immediately into PowerSoil DNA bead tubes and extracted with the dNeasy PowerSoil Kit (Qiagen, USA) following the standard protocol. 2. For Pico-/nano-phytoplankton and heterotrophic prokaryotic abundance, non-filtered samples were chilled on ice and transported to the laboratory on the same day. Samples (1.8 mL) were fixed with glutaraldehyde (final concentration 0.02 % v:v, Sigma-Aldrich 253 G7651), frozen in liquid nitrogen, and later stored at −80°C until analysis. The abundance of autotrophic pico- and nano-eukaryotes, Synechococcus and Prochlorococcus, and other heterotrophic prokaryotes (bacteria and archaea) was determined using an Attune® Acoustic Focusing Flow Cytometer (Applied Biosystems) equipped with a syringe based fluidic system and 488 and 405 nm lasers. To measure heterotrophic prokaryote abundance, a sample aliquot was stained with SYBR Green (Applied Biosystems). 3. Prokaryotic (bacteria and archaea) heterotrophic production was estimated using the 3H-leucine incorporation method. Photosynthetic carbon fixation rates were estimated using the 14C incorporation method.
    Keywords: Acoustic Focusing Flow Cytometer, Applied Biosystems, Attune; equipped with a syringe based fluidic system and 488 and 405 nm lasers; Anton Paar; autotrophic organisms; coastal ecosystem; Conductivity; Conductivity Meter, WTW, ProfiLine Cond 3110; DATE/TIME; Density; DEPTH, water; Event label; Flow injection analyzer, Lachat Instruments, QuikChem 8000; Heterotrophic prokaryotes; LATITUDE; Liquid scintillation counter, Packard, TRI-CARB 2100 TR; Location; LONGITUDE; microbial community; MULT; Multiple investigations; Nitrate; Nitrite; Oxygen, dissolved; pH; pH-meter, Thermo Scientific, EUTECH; Phosphate; PIEZO; Piezometer; Primary production of carbon; Prochlorococcus; Prokaryotes; Prokaryotes, production as carbon; Salinity; SGD_10; SGD_11; SGD_21; SGD_26; SGD_27; SGD_35; SGD_36; SGD_37; SGD_38; SGD_39; SGD_40; SGD_41; SGD_42; SGD_43; SGD_44; SGD_45; SGD_46; SGD_47; SGD_48; SGD_49; SGD_50; SGD_51; SGD_52; SGD_53; SGD_54; SGD_NW-1; SGD_NW-2; SGD_NW-3; SGD_NW-4; SGD_NW-5; SGD_NW-6; SGD_NW-7; Silicate; Site; Submarine groundwater discharge; subterranean estuary; Synechococcus; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 387 data points
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  • 78
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Air temperature at 2 m height; 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; FUA; Fukuoka; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090230, WRMC No. 6003; Pyranometer, Kipp & Zonen, CMP22, SN 090100, WRMC No. 6004; Pyrgeometer, Kipp & Zonen, CGR4, SN 090121, WRMC No. 6005; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090142, WRMC No. 6002; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 847768 data points
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  • 79
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    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-07-06
    Keywords: Air temperature at 2 m height; 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; FUA; Fukuoka; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090230, WRMC No. 6003; Pyranometer, Kipp & Zonen, CMP22, SN 090100, WRMC No. 6004; Pyrgeometer, Kipp & Zonen, CGR4, SN 090121, WRMC No. 6005; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090142, WRMC No. 6002; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 793304 data points
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  • 80
    Publication Date: 2024-07-06
    Keywords: chimera ; coexistence ; competition ; Curaçao ; invasive ; peripheral contact ; semisubmersible platform ; southern Caribbean
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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  • 81
    Publication Date: 2024-07-06
    Description: In response to the ongoing global extinction, conservationists must prioritize future conservation investments to ensure that such measures are biologically effective and economically viable. To propose an effective conservation plan for Orthoptera assemblages on Cyprus Island, we introduce the Standardized Conservation Index (StCI), a biodiversity index accounting for the conservation value (ci), presence, dispersal ability, endemism and conservation status of a species. We evaluated the effect of eleven environmental variables on StCI, ci, species richness and the Shannon–Wiener diversity index, using linear and generalized linear models. Species and environmental data were collected in 60 localities that were placed along four elevational zones and included seven habitat types. Our results revealed the importance of rural mosaics and forests for the conservation of Orthoptera. The Shannon–Wiener diversity index failed to show the importance of high-altitude forests. The Orthoptera species diversity was favored by flower heads and the soil humidity, while rock cover and high shrubs had a positive and negative effect, respectively, on the StCI and ci values. Our results underline the value of StCI in complementing traditional diversity indices, as a scale-independent index that can be used for different taxa to prioritize sites of conservation concern.
    Keywords: assessment ; biodiversity index ; Cyprus ; grasshoppers ; insects ; prioritization
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 82
    Publication Date: 2024-07-05
    Description: The Holocene delta deposit (1st terrace) exposure SOB14-A-21 (72.53671°N, 127.98945°E) was sampled on 17 August 2014 North of Sobo-Sise Island in the Lena Delta during the framework of the joint Russian-German Expedition LENA 2014. The surface (top) of the exposure was characterized by mosses and sedges. The exposure itself was predominately sandy with few organic remnants. The top organic layer is thin (1.5 cm) and the active layer depth could not be determined exactly. However, the top 170 cm of the exposure were unfrozen although the thaw front might not only be from the top down but also horizontally due to the nature of the exposure. The exposure was first cleaned with a spade and then sampled with a knife and a hole saw from top to bottom. The entire exposure had a depth of 605 cm whereof the bottom 35 cm consisted of ice. Every 25 cm a sample was collected resulting in 22 samples (20 sediment samples and 2 ice samples). The samples were kept cool during the transport and later analyzed in the laboratory for bulk density, total organic carbon, and total nitrogen with a Vario EL III Elemental Analyzer. Prior to analysis, samples were freeze-dried, homogenized, and ground before measuring the samples with the elemental analyzer. The ice samples were not analyzed.
    Keywords: Arctic Delta; AWI_Perma; AWI Arctic Land Expedition; Carbon; Carbon, organic, total; Carbon/Nitrogen ratio; Carbon and nitrogen and sulfur (CNS) isotope element analyzer, Elementar, Vario EL III; DATE/TIME; Density, dry bulk; Density, wet bulk; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Description; EXPO; Exposure; Ice content, gravimetric; Ice content, volumetric; LATITUDE; Lena_Delta_Sobo-Byk_2014; Lena Delta; LONGITUDE; Nitrogen; Nitrogen, total; permafrost; Permafrost Research; PETA-CARB; PG-SOB14-A-21; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; RU-Land_2014_Lena_Sobo-Byk; Sample, dry mass; Sample, wet mass; Sample code/label; Sample comment; Sample thickness; Sample volume; Sampling; Site; Size fraction 〉 2 mm, gravel; Soil organic carbon storage; Soil total nitrogen storage; Type; Water loss per dry weight
    Type: Dataset
    Format: text/tab-separated-values, 480 data points
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  • 83
    Publication Date: 2024-07-05
    Description: This data set comprises CTD data of the RV ALKOR cruise AL606 conducted in January 2024 (January 22nd – January 30th) in the Western Baltic Sea by the University of Hamburg. The cruise was part of the 5-year monitoring programme Winter cod 2021-25 (Monitoring winter spawning activity of Western Baltic cod (Gadus morhua) (2021-25)) of the University of Hamburg aiming at investigating the early-winter spawning activity of Western Baltic cod to identify potential climate-induced shifts in spawning phenology.
    Keywords: AL606; AL606_10-2; AL606_11-1; AL606_1-2; AL606_12-2; AL606_13-1; AL606_14-2; AL606_15-1; AL606_16-2; AL606_17-1; AL606_18-1; AL606_19-2; AL606_20-1; AL606_21-2; AL606_2-2; AL606_22-1; AL606_23-2; AL606_24-1; AL606_25-2; AL606_26-1; AL606_27-2; AL606_3-1; AL606_33-1; AL606_34-2; AL606_36-1; AL606_38-1; AL606_39-1; AL606_40-1; AL606_41-3; AL606_4-2; AL606_42-1; AL606_43-2; AL606_44-1; AL606_45-2; AL606_46-1; AL606_47-2; AL606_48-1; AL606_49-2; AL606_50-1; AL606_5-1; AL606_51-2; AL606_52-1; AL606_53-2; AL606_54-1; AL606_56-2; AL606_58-2; AL606_59-2; AL606_60-2; AL606_61-1; AL606_6-2; AL606_62-1; AL606_63-1; AL606_64-2; AL606_66-2; AL606_68-2; AL606_69-2; AL606_70-2; AL606_7-1; AL606_72-2; AL606_73-2; AL606_75-2; AL606_77-2; AL606_78-2; AL606_8-2; AL606_9-1; Alkor (1990); Chlorophyll a; cod monitoring data; Conductivity; Cruise/expedition; CTD/Rosette; CTD casts; CTD-RO; DAM sustainMare - SpaCeParti: Coastal Fishery, Biodiversity, Spatial Use and Climate Change: A Participative Approach to navigate the Western Baltic Sea into a Sustainable Future; DATE/TIME; Density, sigma-theta (0); DEPTH, water; Event label; Field measurements; LATITUDE; LONGITUDE; Multiparameter probe (CTD), Sea & Sun Technology, CTD90M [Series II]; coupled with Fluorometer, Turner Designs, Cyclops-7 [for Chlorphyll a]; coupled with Oxygen sensor, AMT Analysenmesstechnik GmbH; Oxygen, dissolved; Oxygen saturation; pH; Pressure, water; Record number; Research Mission of the German Marine Research Alliance (DAM): Protection and sustainable use of marine areas; Salinity; SpaCeParti; Station label; sustainMare; Temperature, water; winter; Winter cod 2021-25
    Type: Dataset
    Format: text/tab-separated-values, 391800 data points
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  • 84
    Publication Date: 2024-07-05
    Description: This data contains monitoring data of the RV ALKOR cruise AL606 conducted in January 2024 (January 22nd – January 30th) in the Western Baltic Sea by the University of Hamburg. The cruise was part of the 5-year monitoring programme Winter cod 2021-25 (Monitoring winter spawning activity of Western Baltic cod (Gadus morhua) (2021-25)) of the University of Hamburg aiming at investigating the early-winter spawning activity of Western Baltic cod to identify potential climate-induced shifts in spawning phenology. The data set includes cod single fish analysis data. All single fish measurements were made directly on board. Full wet weights of cod were measured and subsequently cod were gutted and liver weights, gonad weights and sexes, gutted wet weights (i.e., gutted wet mass), gonad stages and liver nematode infestations were recorded, and Otoliths were taken.
    Keywords: AL606; AL606_1-1; AL606_2-1; AL606_31-1; AL606_38-2; AL606_39-2; AL606_55-1; AL606_56-1; AL606_58-1; AL606_59-1; AL606_60-1; AL606_61-2; AL606_62-2; AL606_63-4; AL606_64-1; AL606_65-1; AL606_66-1; AL606_67-1; AL606_68-1; AL606_69-1; AL606_70-1; AL606_71-1; AL606_72-2; AL606_73-1; AL606_74-1; AL606_75-1; AL606_76-1; AL606_76-2; AL606_77-1; AL606_78-1; Alkor (1990); Bottom trawl; BT; cod monitoring data; Cruise/expedition; CTD/Rosette; CTD-RO; DAM sustainMare - SpaCeParti: Coastal Fishery, Biodiversity, Spatial Use and Climate Change: A Participative Approach to navigate the Western Baltic Sea into a Sustainable Future; DATE/TIME; DEPTH, water; Determination of gonadal maturity according to Tomkiewicz et al. (2002); Event label; Fishing rod; Fish measuring board; FR; Gadus morhua; Gadus morhua, gonad, wet mass; Gadus morhua, gonadal stage; Gadus morhua, gutted wet mass; Gadus morhua, liver, wet mass; Gadus morhua, parasitic nematodes in liver; Gadus morhua, sex; Gadus morhua, total length; Gadus morhua, wet mass; Haul; Individual ID; LATITUDE; LONGITUDE; Marine scale, Marel, M2200; Otolith; Research Mission of the German Marine Research Alliance (DAM): Protection and sustainable use of marine areas; RV ALKOR; SpaCeParti; Station label; sustainMare; Western Baltic Sea; winter; Winter cod 2021-25
    Type: Dataset
    Format: text/tab-separated-values, 4018 data points
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  • 85
    Publication Date: 2024-07-05
    Description: This data set comprises CTD data of the RV ALKOR cruise AL607 conducted in February 2024 (February 10th – February 16th) in the Western Baltic Sea by the University of Hamburg. Sampling activities conducted during this teaching cruise was part of the international sampling efforts to investigate the spawning activity of Western Baltic cod (Gadus morhua) coordinated by the Western Baltic cod Forum (WBCF).
    Keywords: AL607; AL607_10-1; AL607_1-1; AL607_11-1; AL607_13-1; AL607_14-2; AL607_15-1; AL607_16-1; AL607_17-1; AL607_18-3; AL607_19-1; AL607_20-2; AL607_2-1; AL607_21-1; AL607_22-2; AL607_23-1; AL607_24-2; AL607_25-1; AL607_26-2; AL607_27-1; AL607_28-2; AL607_29-1; AL607_30-2; AL607_31-1; AL607_3-2; AL607_32-2; AL607_33-1; AL607_34-2; AL607_35-1; AL607_36-2; AL607_37-1; AL607_38-2; AL607_40-1; AL607_4-1; AL607_5-2; AL607_6-1; AL607_7-2; AL607_8-1; AL607_9-2; Alkor (1990); Chlorophyll a; cod monitoring data; Conductivity; Cruise/expedition; CTD/Rosette; CTD casts; CTD-RO; DAM sustainMare - SpaCeParti: Coastal Fishery, Biodiversity, Spatial Use and Climate Change: A Participative Approach to navigate the Western Baltic Sea into a Sustainable Future; DATE/TIME; Density, sigma-theta (0); DEPTH, water; Event label; Field measurements; LATITUDE; LONGITUDE; Multiparameter probe (CTD), Sea & Sun Technology, CTD90M [Series II]; coupled with Fluorometer, Turner Designs, Cyclops-7 [for Chlorphyll a]; coupled with Oxygen sensor, AMT Analysenmesstechnik GmbH; Oxygen, dissolved; Oxygen saturation; pH; Pressure, water; Record number; Research Mission of the German Marine Research Alliance (DAM): Protection and sustainable use of marine areas; Salinity; SeaRanger; SpaCeParti; Station label; sustainMare; Temperature, water; winter
    Type: Dataset
    Format: text/tab-separated-values, 216444 data points
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  • 86
    Publication Date: 2024-07-05
    Description: Thermokarst lagoons develop in permafrost lowlands along the ice-rich Arctic coast when thermokarst lakes or basins with bottom elevations at or below sea level are breached by the sea due to erosion, sea-level rise, or connection via drainage channels. Thermokarst lagoons, as dynamic landforms at the interface of terrestrial permafrost and marine systems, play a crucial role in the transformation of permafrost carbon under rising marine influence. Here we present a comprehensive dataset consisting of the first manual thermokarst lagoon area mapping, a more precise number of thermokarst lagoons and a detailed lagoon classification for thermokarst lagoons along the pan-Arctic coast from Taymyr Peninsula in Russia to the Tuktoyaktuk Peninsula in Canada. This is an updated dataset based on the previous work of Jenrich et al. 2021 and Jenrich et al. 2023. The main improvements include (1) counting thermokarst lagoons individually within a lagoon system, as long as the distinct round form of former lake basins is visible; (2) manually calculating the area for all mapped thermokarst lagoons based on the updated Global Surface Water Dataset from 1984-2021 by Pekel et al., 2016; and (3) classifying lagoons based on connectivity to the sea into 5 connectivity classes. We identified 520 thermokarst lagoons covering an area of 3457 km2. Methods: Pan-Arctic thermokarst lagoon distribution and area were mapped using QGIS version 3.34 and Google Earth Engine. The updated Global Surface Water Dataset by Pekel et al., 2016, based on Landsat-5, -7, and -8 satellite images from 1984-2021, was used to create masks with a threshold of 〉75% based on water occurrence, which enabled the manual splitting of polygons from the resulting mask vector data and extraction of thermokarst lagoon areas. Mapping and area extraction also relied on Sentinel-2 imagery from 2023/07/01-2023/08/30, basemaps Google Satellite and ESRI Satellite, and the digital elevation model ArcticDEM and its hillshade HSarcticDEM (Porter et al., 2018). The thermokarst lagoon classification employed a geomorphological approach based on Sentinel-2 imagery and basemaps Google Satellite and ESRI Satellite. Connectivity classes were visually defined and attributed to thermokarst lagoons based on: 1) the size of the lagoon opening relative to its overall size, 2) whether it was directly connected or subsequent within a lagoon system, and 3) interactivity within the lagoon system. The five classes range from 5 - very high connectivity to 1 - very low connectivity: 5 - Lagoon, always open (Lao) - Very high connectivity - Lagoon in direct exchange with the sea. 4 - Lagoon, mostly open (Lmo) - High connectivity - Barrier islands or sand spits only slightly block exchange with the sea or subsequent lagoon which is very well connected to the primary lagoon. 3 - Lagoon, semi-open (Lso) - Medium connectivity - Exchange limited either temporally or spatially due to barrier islands and sand spits or subsequent lagoon which is well connected to the primary lagoon. 2 - Lagoon, limited open (Llo) - Low connectivity - Exchange very limited due to very small opening or narrow channel or subsequent lagoon which is less connected to primary lagoon due to small channel or high distance. 1 - Lagoon, nearly-closed (Lnc) - Very low connectivity - Exchange strongly limited due to long and narrow channel, or subsequent lagoon with very limited exchange. Temporary lake characteristics are possible.
    Keywords: Arctic_lagoons_1984-2021; Binary Object; Binary Object (File Size); CACOON; Carbon in Permafrost / Kohlenstoff im Permafrost; Changing Arctic Carbon cycle in the cOastal Ocean Near-shore; Classification; Comment; connectivity; File content; KoPF; lagoon size; Permafrost coasts; PETA-CARB; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; Satellite imagery; SATI; shapefile; Thermokarst Lagoon
    Type: Dataset
    Format: text/tab-separated-values, 9 data points
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  • 87
    Publication Date: 2024-07-05
    Description: Glaciological mass balance parameters are measured as part of the monitoring program at Mullwitzkees in the Hohe Tauern Range, Austria, since the 2006/07 hydrological season. The data sets include glacier wide subseasonal, seasonal and annual point mass balance for the ablation stake and snow pit network, as well as records of snow depth probing. Fixed date values for the hydrological season (winter: 1 Oct - 30 Apr; year: 1 Oct - 30 Sep) are derived by extrapolating from the measurement dates closest to the fixed dates. Detailed information is given in Hartl et al. (2024) and in the associated readme files. New data will be added every year.
    Keywords: Glacier mass balance; LTER; Mountain meteorology
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 88
    Publication Date: 2024-07-05
    Description: Glaciological mass balance parameters are measured as part of the monitoring program at Venedigerkees in the Hohe Tauern Range, Austria, since 2011/12. The data sets include glacier wide subseasonal, seasonal and annual point mass balance for the ablation stake and snow pit network, as well as records of snow depth probing. Fixed date values for the hydrological season (winter: 1 Oct - 30 Apr; year: 1 Oct - 30 Sep) are derived by extrapolating from the measurement dates closest to the fixed dates. Detailed Information is given in Hartl et al. (2024) and in the associated readme files. New data will be added every year.
    Keywords: Glacier mass balance; LTER; Mountain meteorology
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 89
    Publication Date: 2024-07-05
    Description: The biological carbon pump is the mechanism by which the organic matter is exported or sequestered in the deep ocean from years to millennia. This downward transport is performed through physical transport of dissolved and particulate organic carbon, the sinking of particles or passive flux, and the active transport by diel and seasonal vertical migrants. The latter mechanism is still poorly studied, and seasonality of this active flux is even less known. We studied active flux by zooplankton in two transects from the productive coastal transition zone off Northwest Africa to the warm oligotrophic ocean. We estimated the metabolic activity from the surface to 900 m depth using the enzymatic activity of the electron transfer system (ETS) as a proxy for respiration. We found zooplankton ETS activity significantly higher during spring than during fall in the mesopelagic zone. Even at similar migrant biomass values, respiratory flux was higher during spring compared to fall due to the important differences in respiration rates in the mesopelagic zone. These striking differences of respiration rates in the mesopelagic zone was mainly due to the smaller body size of zooplankton during the productive season (spring). These results should be considered in models of active carbon export in the ocean. Here, we provide the data compiled during both cruises (spring and fall).
    Keywords: 02; 08; 14; 22; 29HE20020910; 29HE20030520; 32; 42; 48; 52; 60; 66; biological carbon pump; Calculated; COCA-1; COCA-1_02-4; COCA-1_08-4; COCA-1_14-4; COCA-1_22-4; COCA-1_32-4; COCA-1_42-4; COCA-1_48-4; COCA-1_52-4; COCA-1_60-4; COCA-1_66-4; COCA-2; COCA-2_02-4; COCA-2_08-4; COCA-2_14-4; COCA-2_22-4; COCA-2_42-4; COCA-2_48-4; COCA-2_52-4; COCA-2_60-4; COCA-2_66-4; Date/Time of event; DEPTH, water; Electron transport system activity of oxygen per mass; ETS activity; Event label; Hespérides; Latitude of event; LHPR; Longitude of event; OPC; Optical plankton counter, Focal Technologies Inc., OPC-1L; Optional event label; Plankton recorder, Longhurst-Hardy; respiration flux; Spectrophotometry according to Lowry et al. (1951) [modified after Rutter (1967)]; SUMMER; Sustainable Management of Mesopelagic Resources; Tetrazolium reduction technique according to Packard (1971); Time of day; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; Zooplankton; Zooplankton, biomass as protein; Zooplankton, biomass as protein per individual
    Type: Dataset
    Format: text/tab-separated-values, 6153 data points
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  • 90
    Publication Date: 2024-07-05
    Type: Conference or Workshop Item , NonPeerReviewed
    Format: text
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  • 91
    Publication Date: 2024-07-05
    Description: Automatic seismic data interpretation is a significant method in the exploration of geophysics. Complexities of the subsurface structures and the subsurface wave propagation media, make the decision-making process difficult in seismic data interpretation. Nevertheless, the extent of related knowledge and using the expert system method in seismic data interpretation can mitigate this problem. An expert system is a knowledge-based system that applies its knowledge in a complex and specific area and acts as an expert end-user consultant. This study investigates the design of an ANFIS expert system for mud diapirs detection with seismic data analysis in Gorgan plain. This method was applied to seismic attributes from a complex geological mud diapir bearing structure from south of the Caspian Sea. The south of the Caspian Sea is one of the richest area as petroleum reserves, and the Gorgan plain has various mud diapirs, which act as indicators of hydrocarbon reservoirs. The expert system design process to identify mud diapirs on seismic sections was modeled in two approaches including manual and automatic seismic data interpretation. In the first approach, the experience of the expert was collected by manual interpretation of training data and used to create a knowledge base and inference of the expert system in the second approach. The validation verified the accuracy of this method with an average accuracy of 90.1% according to using minimum knowledge to develop a knowledge base of the designed ANFIS expert system.
    Type: Article , PeerReviewed
    Format: text
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  • 92
  • 93
    Publication Date: 2024-07-05
    Description: In marine ecosystems, most physiological, ecological, or physical processes are size dependent. These include metabolic rates, the uptake of carbon and other nutrients, swimming and sinking velocities, and trophic interactions, which eventually determine the stocks of commercial species, as well as biogeochemical cycles and carbon sequestration. As such, broad-scale observations of plankton size distribution are important indicators of the general functioning and state of pelagic ecosystems under anthropogenic pressures. Here, we present the first global datasets of the Pelagic Size Structure database (PSSdb), generated from plankton imaging devices. This release includes the bulk particle normalized biovolume size spectrum (NBSS) and the bulk particle size distribution (PSD), along with their related parameters (slope, intercept, and R2) measured within the epipelagic layer (0–200 m) by three imaging sensors: the Imaging FlowCytobot (IFCB), the Underwater Vision Profiler (UVP), and benchtop scanners. Collectively, these instruments effectively image organisms and detrital material in the 7–10 000 µm size range. A total of 92 472 IFCB samples, 3068 UVP profiles, and 2411 scans passed our quality control and were standardized to produce consistent instrument-specific size spectra averaged to 1° × 1° latitude and longitude and by year and month. Our instrument-specific datasets span most major ocean basins, except for the IFCB datasets we have ingested, which were exclusively collected in northern latitudes, and cover decadal time periods (2013–2022 for IFCB, 2008–2021 for UVP, and 1996–2022 for scanners), allowing for a further assessment of the pelagic size spectrum in space and time. The datasets that constitute PSSdb's first release are available at https://doi.org/10.5281/zenodo.11050013 (Dugenne et al., 2024b). In addition, future updates to these data products can be accessed at https://doi.org/10.5281/zenodo.7998799.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
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  • 94
    Call number: 9/M 07.0421(519)
    In: Geological Society special publication, 519
    Description / Table of Contents: Volcanic islands have a highly characteristic geological context that poses specific issues related to thereconstruction of volcanic activity, hazard assessment, risk management, implementation of monitoringnetworks, and non-eruptive geohazards as landslides. This special publication intends to address theseissues from a multidisciplinary point of view.
    Type of Medium: Series available for loan
    Pages: 170 Seiten , Illustrationen, Diagramme, Karten
    ISBN: 9781786205650 , 978-1-78620-565-0
    ISSN: 03058719 , 0305-8719
    Series Statement: Geological Society special publication 519
    Language: English
    Note: Griffiths, J. S. and Law, R. D. Introduction to SP519 – volcanic islands: from hazard assessment to risk mitigation Multidisciplinary approaches to understanding volcanic islands Della Seta, M., Esposito, C., Fiorucci, M., Marmoni, G. M., Martino, S., Sottili, G., Belviso, P., Carandente, A., de Vita, S., Marotta, E. and Peluso, R. Thermal monitoring to infer possible interactions between shallow hydrothermal system and slope-scale gravitational deformation of Mt Epomeo (Ischia Island, Italy) Marotta, E., Berrino, G., de Vita, S., Di Vito, M. and Camacho, A. G. Structural setting of the Ischia resurgent caldera (southern Tyrrhenian Sea, Italy) by integrated 3D gravity inversion and geological models Tramelli, A., Orazi, M., Nardone, L., Bobbio, A., Benincasa, A., Buonocunto, C., Capello, M., Caputo, A., Castellano, M., D’Auria, L., De Cesare, W., Di Filippo, A., Galluzzo, D., Gaudiosi, G., Giudicepietro, F., Liguoro, F., Lo Bascio, D., Martini, M., Martino, C., Peluso, R., Ricciolino, P., Scarpato, G., Torello, V. and Bianco, F. The seismic network of Ischia island from 1993 to 2021 Longo, M., Lazzaro, G., Caruso, C. G., Corbo, A., Sciré Scappuzzo, S., Italiano, F., Gattuso, A. and Romano, D. Hydro-acoustic signals from the Panarea shallow hydrothermal field: new inferences of a direct link with Stromboli Musacchio, M., Silvestri, M., Rabuffi, F., Buongiorno, M. F. and Falcone, S. Kılauea ̄ –Leilani 2018 lava flow delineation using Sentinel2 and Landsat8 images Tsunamis from volcanic environments Zaniboni, F., Pagnoni, G., Gallotti, G., Tinti, S. and Armigliato, A. Landslide-tsunamis along the flanks of Mount Epomeo, Ischia: propagation patterns and coastal hazard for the Campania Coasts, Italy Fornaciai, A., Favalli, M. and Nannipieri, L. Reconstruction of the 2002 tsunami at Stromboli using the non-hydrostatic WAVE model (NHWAVE) Volcanoes and society Lotteri, A., Speake, J., Kennedy, V., Wallenstein, N., Coutinho, R., Chester, D., Duncan, A., Dibben, C. and Ferreira, F. Changing hazard awareness over two decades: the case of Furnas, São Miguel (Azores) Tomasone, M., Avvisati, G., Cirillo, F., Colucci, O., Marotta, E., Fiorenza, E., Vertechi, E. and Simonetti, B. Risk management planning on a volcanic island: fear and loathing in Ischia (Italy) Index
    Location: Reading room
    Branch Library: GFZ Library
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  • 95
    Publication Date: 2024-07-05
    Description: Volcanic flank collapses, especially those in island settings, have generated some of the most voluminous mass transport deposits on Earth and can trigger devastating tsunamis. Reliable tsunami hazard assessments for flank collapse-driven tsunamis require an understanding of the complex emplacement processes involved. The seafloor sequence southeast of Montserrat (Lesser Antilles) is a key site for the study of volcanic flank collapse emplacement processes that span subaerial to submarine environments. Here, we present new 2D and 3D seismic data as well as MeBo drill core data from one of the most extensive mass transport deposits offshore Montserrat, which exemplifies multi-phase landslide deposition from volcanic islands. The deposits reveal emplacement in multiple stages including two blocky volcanic debris avalanches, secondary seafloor failure and a late-stage erosive density current that carved channel-like incisions into the hummocky surface of the deposit about 15 km from the source region. The highly erosive density current potentially originated from downslope-acceleration of fine-grained material that was suspended in the water column earlier during the slide. Late-stage erosive turbidity currents may be a more common process following volcanic sector collapse than has been previously recognized, exerting a potentially important control on the observed deposit morphology as well as on the runout and the overall shape of the deposit. Key Points Landslide emplacement offshore Montserrat included volcanic flank collapses, sediment incorporation, and a late-stage erosive flow Highly erosive flows are likely to be common processes during volcanic flank collapse deposition Pre-existing topography plays a major role in shaping flank collapse-associated mass transport deposits Plain Language Summary Disintegration of volcanic islands can cause very large landslides and destructive tsunamis. To assess the tsunami hazard of such events, it is crucial to understand the processes that are involved in their formation. We present new insights from seismic data and drill cores from a landslide deposit offshore Montserrat, a volcanic island in the Lesser Antilles Arc in the Caribbean. Our analysis reveals the emplacement of landslide material in several stages, including multiple volcanic flank collapses, incorporation of seafloor sediments and an erosive flow that carved channels into the top of the deposit right after its emplacement. We suggest that highly erosive flows are a common process during volcanic flank collapse deposition and that they play a significant role in the shaping of the deposit's appearance.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
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  • 96
    Publication Date: 2024-07-05
    Description: Zukünftig soll die Speicherung von CO2 auch im Untergrund der deutschen Nordsee erlaubt werden. Die Bundesregierung hat einen entsprechenden Entwurf zur Novelle des Kohlendioxid-Speicherungsgesetzes bekannt gegeben. Geotechnisch relevante Anforderungen an die Erkundung und Überwachung von Speicherstätten werden im Gesetz beschrieben. In diesem Beitrag werden die Interpretation der Anforderungen sowie Möglichkeiten für deren Erfüllung bei der Speicherung im marinen Raum diskutiert. Weiter ausführende Rechtsverordnungen gibt es bislang nicht. Daraus resultieren Unsicherheiten für die praktische Erkundung und Überwachung von Speichern seitens möglicher Betreiber und Behörden. Es sind jedoch vielfältige standortspezifische Aspekte zu berücksichtigen, so dass derzeit eine Festschreibung geotechnischer Verfahren oder Methoden nicht sinnvoll erscheint. Angesichts der raschen Entwicklung von Speicherprojekten in den Nordseeanrainerstaaten sowie der Erkundungs- und Überwachungstechniken, erscheint es sinnvoll, zunächst weitere Erfahrungen zur Erschließung und zum Betrieb von Speichern zu sammeln und von der Regulierungspraxis der Nachbarländer zu lernen.
    Type: Article , NonPeerReviewed
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  • 97
    Publication Date: 2024-07-05
    Description: There is an increased interest in the evolution and development of newts from the genus Triturus because: (1) morphological differentiation among the nine constituent species largely corresponds to different ecological preferences, (2) hybridization between different species pairs has various evolutionary outcomes in terms of life history traits and morphology, and (3) the genus expresses a balanced lethal system that causes arrested growth and death of half of the embryos. These features provide natural experimental settings for molecular, morphological, and life-history studies. Therefore, we produce a staging table for the Balkan crested newt (T. ivanbureschi). We provide detailed descriptions of 34 embryonic stages based on easily observable and interpretable external morphological characters, to ensure reproducibility. Compared with previous staging tables for Triturus, we include a vastly increased sample size and provide high-resolution photographs in lateral, ventral, and dorsal view, complemented by videos of specific developmental periods, and accompanied by detailed explanations on how to delineate the specific stages. Our staging table will serve as a baseline in comparative studies on Triturus newts: an emerging model system in evolutionary and developmental studies.
    Keywords: amphibia ; external morphology ; Salamandridae ; Triturus ivanbureschi
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 98
    Publication Date: 2024-07-05
    Description: Iraq is a large country in the Middle East region that borders both Turkey and Iran, countries known to host two of the largest bee faunas globally, as expected for a group of insects that favour dry to Mediterranean climates. Despite this huge regional species richness, the bee fauna of Iraq is chronically understudied and poorly known, both in relative and absolute terms. This is true for the hyper-speciose bee genus Andrena, for which only 17 species have been previously published for Iraq. This work is the first modern contribution to the revision of the Andrena fauna of Iraq. Based on new specimen collections in Duhok Governorate (Iraqi Kurdistan) during 2023, a revised total of 59 Andrena species for Iraq (42 species recorded for the first time) is presented, including the description of two new species: Andrena (Aciandrena) duhokensis Wood, sp. nov. and Andrena (Notandrena) baiocchii Wood, sp. nov. The unknown males of A. (Micrandrena) elam Wood, 2022, A. (Micrandrena) obsidiana Wood, 2022, and A. (Notandrena) ayna Wood, 2023 are described. Andrena bakrajoensis Amin & Mawlood, 2019, syn. nov. is synonymised with A. (Holandrena) variabilis Smith, 1853. Additional records are presented from nearby Middle Eastern countries, particularly Lebanon. These results highlight the fundamentally understudied nature of the Iraqi Andrena fauna.
    Keywords: Middle East ; pan trap ; solitary bees ; taxonomy ; understudied fauna
    Repository Name: National Museum of Natural History, Netherlands
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  • 99
    Publication Date: 2024-07-05
    Description: Golf ball sponges are small, sometimes inconspicuous, sponges. They can be found across a range of habitats varying from perturbed and pristine coral reefs to harbours and marine lakes and from the deep sea to shallow waters. They can be difficult to distinguish in the field and have presented some problems with taxonomists lumping and splitting species due to the difficulty in defining clear species boundaries. In the present study, we sampled golf ball sponges from Indo-Pacific and Caribbean locations and used 16S gene amplicon sequencing to study their prokaryotic communities. We show that golf ball sponges harbour a wide variety of prokaryotic communities. Among the most prevalent operational taxonomic units (OTUs), several belonged to a range of taxa, including the bacterial AqS1 and EC94 groups, which have been associated with genes known to facilitate interactions between hosts and microbes. Certain host taxa were enriched with OTUs classified to the SAR202 clade of Chloroflexi. Our findings show that prokaryotic dissimilarity varied as a function of space (geographical distance) and host dissimilitude. The importance of space and host dissimilitude, however, varied depending on the data transformation with host dissimilitude a more important predictor of untransformed data whereas space was a more important predictor of log-transformed data. Given that log-transformation downscales the influence of abundant taxa, we interpret these results by the tendency of closely related host organisms to host similar sets of abundant symbiotic microorganisms; distantly sampled specimens, in contrast, tend to harbour less abundant prokaryotic microorganisms found in the surrounding environment (e.g., seawater or sediment)
    Keywords: Cinachyrella ; host ; Paratetilla ; porifera ; spatial
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 100
    Publication Date: 2024-07-05
    Description: Shipwrecks and dumped munition continue to be a major hazard, both in the North Sea but also on a global scale. Research within the EU Interreg project North Sea Wrecks (NSW), in cooperation with the German Aerospace Centre, Institute for the Protection of Maritime Infrastructures (DLR), is generating new insights into the status of wrecks, the potential leakage of pollutants from remaining munitions loads and the effects of contamination on exposed marine organisms in the North Sea environment. Further, historical documents are generated from archives to describe ship’s history and sinking scenario. These historical findings were compared to models and images of the visual inspections of the wrecks. Further, samples of water, sediment and organisms are being analysed for traces of explosives. Combining the results of these different fields of research allows for a better understanding of the environmental risks deriving from these wrecks. This process is shown below by focusing on the wreck of the German light cruiser SMS MAINZ, which sank in 1914. Data were compared to three additional wrecks situated also within the southern German Bight. Available data about the wrecks were preliminary assessed using a wreck risk model. Finally, wrecks were ranked according to their potential environmental risk.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
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