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  • Institute of Physics  (158,022)
  • PANGAEA  (85,920)
  • 2020-2024  (35,038)
  • 2010-2014  (208,904)
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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
    Location Call Number Expected Availability
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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
    Location Call Number Expected Availability
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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
    Location Call Number Expected Availability
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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
    Location Call Number Expected Availability
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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
    Location Call Number Expected Availability
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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
    Location Call Number Expected Availability
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  • 7
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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, 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
    Location Call Number Expected Availability
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  • 9
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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, 819968 data points
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  • 10
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    Unknown
    PANGAEA
    In:  Supplement to: Johnson, Maggie Dorothy; Moriarty, Vincent; Carpenter, Robert C (2014): Acclimatization of the Crustose Coralline Alga Porolithon onkodes to Variable pCO2. PLoS ONE, 9(2), e87678, https://doi.org/10.1371/journal.pone.0087678
    Publication Date: 2024-07-06
    Description: Ocean acidification (OA) has important implications for the persistence of coral reef ecosystems, due to potentially negative effects on biomineralization. Many coral reefs are dynamic with respect to carbonate chemistry, and experience fluctuations in pCO2 that exceed OA projections for the near future. To understand the influence of dynamic pCO2 on an important reef calcifier, we tested the response of the crustose coralline alga Porolithon onkodes to oscillating pCO2. Individuals were exposed to ambient (400 µatm), high (660 µatm), or variable pCO2 (oscillating between 400/660 µatm) treatments for 14 days. To explore the potential for coralline acclimatization, we collected individuals from low and high pCO2 variability sites (upstream and downstream respectively) on a back reef characterized by unidirectional water flow in Moorea, French Polynesia. We quantified the effects of treatment on algal calcification by measuring the change in buoyant weight, and on algal metabolism by conducting sealed incubations to measure rates of photosynthesis and respiration. Net photosynthesis was higher in the ambient treatment than the variable treatment, regardless of habitat origin, and there was no effect on respiration or gross photosynthesis. Exposure to high pCO2 decreased P. onkodes calcification by 〉70%, regardless of the original habitat. In the variable treatment, corallines from the high variability habitat calcified 42% more than corallines from the low variability habitat. The significance of the original habitat for the coralline calcification response to variable, high pCO2 indicates that individuals existing in dynamic pCO2 habitats may be acclimatized to OA within the scope of in situ variability. These results highlight the importance of accounting for natural pCO2 variability in OA manipulations, and provide insight into the potential for plasticity in habitat and species-specific responses to changing ocean chemistry.
    Keywords: Alkalinity, total; Alkalinity, total, standard error; Aragonite saturation state; Aragonite saturation state, standard error; Benthos; Bicarbonate ion; Calcification/Dissolution; Calcification rate, standard error; Calcification rate of calcium carbonate; Calcite saturation state; Calcite saturation state, standard error; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Coast and continental shelf; Containers and aquaria (20-1000 L or 〈 1 m**2); Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gross photosynthesis rate, oxygen; Gross photosynthesis rate, oxygen, standard error; Irradiance; Irradiance, standard error; Laboratory experiment; Macroalgae; Net photosynthesis rate, oxygen; Net photosynthesis rate, oxygen, standard error; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Partial pressure of carbon dioxide (water) at sea surface temperature (wet air), standard error; pH; pH, standard error; Plantae; Porolithon onkodes; Potentiometric titration; Primary production/Photosynthesis; Respiration; Respiration rate, oxygen; Respiration rate, oxygen, standard error; Rhodophyta; Salinity; Salinity, standard error; Single species; South Pacific; Species; Spectrophotometric; Temperature, water; Temperature, water, standard error; Treatment; Tropical
    Type: Dataset
    Format: text/tab-separated-values, 264 data points
    Location Call Number Expected Availability
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