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  • PANGAEA  (6,273)
  • Taylor & Francis  (819)
  • 2020-2024  (7,092)
  • 1990-1994
  • 2022  (7,092)
Collection
Keywords
Publisher
Language
Years
Year
  • 1
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    Master track of SONNE cruise SO292 in 1 sec resolution (zipped, 17.0 MB) (2022)
    PANGAEA
    In:  University of Hamburg, Germany
    Details
    Publication Date: 2024-07-02
    Description: Raw data acquired by position sensors on board RV SONNE during expedition SO292 were processed to receive a validated master track which can be used as reference of further expedition data. During SO292 the motion reference unit Kongsberg SeaTex AS MRU-5 combined with Kongsberg SeaTex AS Seapath 320 and two GPS receivers SAAB MGL-4 were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
    Keywords: 1 sec resolution; CT; DAM_Underway; DAM Underway Research Data; ICECARB; SO292; SO292-track; Sonne_2; Underway cruise track measurements
    Type: Dataset
    Format: application/zip, 17.1 MBytes
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 2
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    Measurements of pCO2 from an autonomous drifting buoy in 2019 during FALKOR cruise FK191120, station 5 (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-02
    Description: Data from autonomous, drifting buoy with a floating chamber to measure insitu air-sea carbon dioxide (CO2) fluxes during RV Falkor cruise FK191120 in the southern Pacific during November-December 2019. The technique is described in detail in Ribas-Ribas et al. (2018) (https://doi.org/10.1525/elementa.275). The buoy is equipped with a sensor to measure aqueous and atmospheric partial pressure of CO2 (pCO2), and to monitor the increase or loss of CO2 inside the chamber. One complete cycle including two chamber measurements last 70 minutes. The buoy can be deployed for more than 15 hours, and at wind speeds of up to 10 m/s. Floating chambers are known to overestimate fluxes due to the creation of additional turbulence at the water surface. We check that by measuring turbulence with two Acoustic Doppler Velocimeter (ADV), one directly underneath the center of the floating chamber (equipped with an inertial motion unit) and the other one positioned sideways to measure turbulence outside the perimeter of the buoy.
    Keywords: Air-sea CO2 flux; Analytical method; Buoy; BUOY; CµC; Carbon dioxide, partial pressure; Carbon microcycle: CO2 gradients in the ocean surface; CO2 analyzer, LI-840x, LI-COR, OceanPackTM, SubCtech; DATE/TIME; Falkor; FK191120; FK191120_5_BUOY; gas exchange; gas transfer velocity; GPS data logger, GT-730FL-S, Canmore; LATITUDE; LONGITUDE; marine carbon cycle; ocean technology; Pacific Ocean; partial pressure of carbon dioxide; South Pacific Ocean; Station label
    Type: Dataset
    Format: text/tab-separated-values, 909 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 3
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    Measurements of pCO2 from an autonomous drifting buoy in 2019 during FALKOR cruise FK191120, station 20 (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-02
    Description: Data from autonomous, drifting buoy with a floating chamber to measure insitu air-sea carbon dioxide (CO2) fluxes during RV Falkor cruise FK191120 in the southern Pacific during November-December 2019. The technique is described in detail in Ribas-Ribas et al. (2018) (https://doi.org/10.1525/elementa.275). The buoy is equipped with a sensor to measure aqueous and atmospheric partial pressure of CO2 (pCO2), and to monitor the increase or loss of CO2 inside the chamber. One complete cycle including two chamber measurements last 70 minutes. The buoy can be deployed for more than 15 hours, and at wind speeds of up to 10 m/s. Floating chambers are known to overestimate fluxes due to the creation of additional turbulence at the water surface. We check that by measuring turbulence with two Acoustic Doppler Velocimeter (ADV), one directly underneath the center of the floating chamber (equipped with an inertial motion unit) and the other one positioned sideways to measure turbulence outside the perimeter of the buoy.
    Keywords: Air-sea CO2 flux; Analytical method; Buoy; BUOY; CµC; Carbon dioxide, partial pressure; Carbon microcycle: CO2 gradients in the ocean surface; CO2 analyzer, LI-840x, LI-COR, OceanPackTM, SubCtech; DATE/TIME; Falkor; FK191120; FK191120_20_BUOY; gas exchange; gas transfer velocity; GPS data logger, GT-730FL-S, Canmore; LATITUDE; LONGITUDE; marine carbon cycle; ocean technology; Pacific Ocean; partial pressure of carbon dioxide; South Pacific Ocean; Station label
    Type: Dataset
    Format: text/tab-separated-values, 906 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 4
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    Measurements of turbulence from an autonomous drifting buoy in 2019 during FALKOR cruise FK191120 (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-02
    Description: Data from autonomous, drifting buoy with a floating chamber to measure insitu air-sea carbon dioxide (CO2) fluxes during RV Falkor cruise FK191120 in the southern Pacific during November-December 2019. The technique is described in detail in Ribas-Ribas et al. (2018) (https://doi.org/10.1525/elementa.275). The buoy is equipped with a sensor to measure aqueous and atmospheric partial pressure of CO2 (pCO2), and to monitor the increase or loss of CO2 inside the chamber. One complete cycle including two chamber measurements last 70 minutes. The buoy can be deployed for more than 15 hours, and at wind speeds of up to 10 m/s. Floating chambers are known to overestimate fluxes due to the creation of additional turbulence at the water surface. We check that by measuring turbulence with two Acoustic Doppler Velocimeter (ADV), one directly underneath the center of the floating chamber (equipped with an inertial motion unit) and the other one positioned sideways to measure turbulence outside the perimeter of the buoy.
    Keywords: Air-sea CO2 flux; Binary Object; Binary Object (File Size); Buoy; BUOY; CµC; Carbon microcycle: CO2 gradients in the ocean surface; Falkor; File content; FK191120; FK191120_10_BUOY; FK191120_11_BUOY; FK191120_2_BUOY; FK191120_20_BUOY; FK191120_4_BUOY; FK191120_5_BUOY; FK191120_8_BUOY; FK191120_9_BUOY; gas exchange; gas transfer velocity; marine carbon cycle; ocean technology; Pacific Ocean; partial pressure of carbon dioxide; South Pacific Ocean
    Type: Dataset
    Format: text/tab-separated-values, 32 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 5
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    Measurements of pCO2 from an autonomous drifting buoy in 2019 during FALKOR cruise FK191120, station 4 (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-02
    Description: Data from autonomous, drifting buoy with a floating chamber to measure insitu air-sea carbon dioxide (CO2) fluxes during RV Falkor cruise FK191120 in the southern Pacific during November-December 2019. The technique is described in detail in Ribas-Ribas et al. (2018) (https://doi.org/10.1525/elementa.275). The buoy is equipped with a sensor to measure aqueous and atmospheric partial pressure of CO2 (pCO2), and to monitor the increase or loss of CO2 inside the chamber. One complete cycle including two chamber measurements last 70 minutes. The buoy can be deployed for more than 15 hours, and at wind speeds of up to 10 m/s. Floating chambers are known to overestimate fluxes due to the creation of additional turbulence at the water surface. We check that by measuring turbulence with two Acoustic Doppler Velocimeter (ADV), one directly underneath the center of the floating chamber (equipped with an inertial motion unit) and the other one positioned sideways to measure turbulence outside the perimeter of the buoy.
    Keywords: Air-sea CO2 flux; Analytical method; Buoy; BUOY; CµC; Carbon dioxide, partial pressure; Carbon microcycle: CO2 gradients in the ocean surface; CO2 analyzer, LI-840x, LI-COR, OceanPackTM, SubCtech; DATE/TIME; Falkor; FK191120; FK191120_4_BUOY; gas exchange; gas transfer velocity; GPS data logger, GT-730FL-S, Canmore; LATITUDE; LONGITUDE; marine carbon cycle; ocean technology; Pacific Ocean; partial pressure of carbon dioxide; South Pacific Ocean; Station label
    Type: Dataset
    Format: text/tab-separated-values, 1137 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 6
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    Measurements of pCO2 from an autonomous drifting buoy in 2019 during FALKOR cruise FK191120, station 10 (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-02
    Description: Data from autonomous, drifting buoy with a floating chamber to measure insitu air-sea carbon dioxide (CO2) fluxes during RV Falkor cruise FK191120 in the southern Pacific during November-December 2019. The technique is described in detail in Ribas-Ribas et al. (2018) (https://doi.org/10.1525/elementa.275). The buoy is equipped with a sensor to measure aqueous and atmospheric partial pressure of CO2 (pCO2), and to monitor the increase or loss of CO2 inside the chamber. One complete cycle including two chamber measurements last 70 minutes. The buoy can be deployed for more than 15 hours, and at wind speeds of up to 10 m/s. Floating chambers are known to overestimate fluxes due to the creation of additional turbulence at the water surface. We check that by measuring turbulence with two Acoustic Doppler Velocimeter (ADV), one directly underneath the center of the floating chamber (equipped with an inertial motion unit) and the other one positioned sideways to measure turbulence outside the perimeter of the buoy.
    Keywords: Air-sea CO2 flux; Analytical method; Buoy; BUOY; CµC; Carbon dioxide, partial pressure; Carbon microcycle: CO2 gradients in the ocean surface; CO2 analyzer, LI-840x, LI-COR, OceanPackTM, SubCtech; DATE/TIME; Falkor; FK191120; FK191120_10_BUOY; gas exchange; gas transfer velocity; GPS data logger, GT-730FL-S, Canmore; LATITUDE; LONGITUDE; marine carbon cycle; ocean technology; Pacific Ocean; partial pressure of carbon dioxide; South Pacific Ocean; Station label
    Type: Dataset
    Format: text/tab-separated-values, 1821 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 7
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    High resolution radiosonde measurements from station Ny-Ålesund (2021-12) (2022)
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Details
    Publication Date: 2024-07-02
    Description: At AWIPEV research base in Ny-Ålesund, Svalbard, regular radiosonde launches are operated once per day. The launch frequency may increase to 6-hourly soundings during specific campaign periods. The Vaisala RS41-SGP radiosondes provide data of pressure, temperature, relative humidity, wind speed and wind direction from ground to about 30 km height. The given data set contains vertical profiles with 1-second time resolution data as obtained by the manufacturer's data processing, quality controlled for appropriate physical ranges.
    Keywords: AC3; ALTITUDE; Arctic Amplification; AWI_Meteo; AWIPEV; AWIPEV_based; Balloon-borne Sonde; BBS; Calculated from GPS; DATE/TIME; Elapsed time; GPS receiver mounted on radiosonde RS41; Height, geometric; Humidity, relative; integrated from pressure and temperature; LATITUDE; LONGITUDE; Meteorological Long-Term Observations @ AWI; NYA_UAS; Ny-Ålesund, Spitsbergen; Pressure, at given altitude; Radiosonde, Vaisala, RS41; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 1309014 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 8
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    High resolution radiosonde measurements from station Ny-Ålesund (2022-04) (2022)
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Details
    Publication Date: 2024-07-02
    Description: At AWIPEV research base in Ny-Ålesund, Svalbard, regular radiosonde launches are operated once per day. The launch frequency may increase to 6-hourly soundings during specific campaign periods. The Vaisala RS41-SGP radiosondes provide data of pressure, temperature, relative humidity, wind speed and wind direction from ground to about 30 km height. The given data set contains vertical profiles with 1-second time resolution data as obtained by the manufacturer's data processing, quality controlled for appropriate physical ranges.
    Keywords: AC3; ALTITUDE; Arctic Amplification; AWI_Meteo; AWIPEV; AWIPEV_based; Balloon-borne Sonde; BBS; Calculated from GPS; DATE/TIME; Elapsed time; GPS receiver mounted on radiosonde RS41; Height, geometric; Humidity, relative; integrated from pressure and temperature; LATITUDE; LONGITUDE; Meteorological Long-Term Observations @ AWI; NYA_UAS; Ny-Ålesund, Spitsbergen; Pressure, at given altitude; Radiosonde, Vaisala, RS41; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 3457365 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 9
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    Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2021-01) (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-02
    Description: Data presented here were collected within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Meteorological data were collected near the experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Meteo-Online (V4.5.0.20253) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
    Keywords: ALTITUDE; Automated weather station, Thies Clima, Clima Sensor US; Automatic weather station; AWS; BEFmate; biodiversity - ecosystem functioning; Brightness, east; Brightness, maximum; Brightness, north; Brightness, south; Brightness, west; Brightness direction; DATE/TIME; DynaCom; DynaCom weather station; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; Humidity, relative; Indicator for inclusion or ommission of precipitation data; Metacommunity; meteorology; Precipitation; Precipitation, daily total; Precipitation description; Pressure, atmospheric; salt marsh; Solar azimuth angle; Solar elevation angle; Spiekeroog; Spiekeroog, German Bight, North Sea; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 690884 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 10
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    Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2021-07) (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-02
    Description: Data presented here were collected within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Meteorological data were collected near the experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Meteo-Online (V4.5.0.20253) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
    Keywords: ALTITUDE; Automated weather station, Thies Clima, Clima Sensor US; Automatic weather station; AWS; BEFmate; biodiversity - ecosystem functioning; Brightness, east; Brightness, maximum; Brightness, north; Brightness, south; Brightness, west; Brightness direction; DATE/TIME; DynaCom; DynaCom weather station; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; Humidity, relative; Indicator for inclusion or ommission of precipitation data; Metacommunity; meteorology; Precipitation; Precipitation, daily total; Precipitation description; Pressure, atmospheric; salt marsh; Solar azimuth angle; Solar elevation angle; Spiekeroog; Spiekeroog, German Bight, North Sea; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 754294 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
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