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Research data keyboard_double_arrow_right Dataset 2024 EnglishPublisher:Zenodo Authors: Turhal, Katharina;Turhal, Katharina;These datasets contain time series of the PV-gradient tropopause (PVG tropopause) introduced by A. Kunz (2011, doi:10.1029/2010JD014343) and calculated by K. Turhal (2024, paper " Variability and Trends in the PVG Tropopause" in submission). The PVG tropopause has been computed by means of the Eddy Tracking Toolkit (developed by J. Clemens and K. Turhal, to be published): from four reanalyses: ERA5, ERA-Interim, MERRA-2 and JRA-55 for the time range 1980/01/01 -- 2017/12/31 in time steps of the according reanalyses, i.e. four times daily at 00h, 06h, 12h and 18h on each isentropic level, with potential temperatures (theta) ranging from 320 K to 380 K, in steps of 5 K for ERA5 and 10 K for the other reanalyses. Datasets are provided for each year and isentropic level in NetCDF4 format, every file consisting of two groups for the northern and southern hemisphere. Each group contains the following variables, with time as dimension: time in seconds since 2000/01/01 00:00 UTC u_lim: Zonal wind speed at the PVG tropopause vh_lim: Horizontal wind speed at the PVG tropopause q_lim: Maximum of Q = vh * Grad PV eqlat_lim: Location of the PVG tropopause in equivalent latitudes latmean_lim: Location of the PVG tropopause in latitudes pv_lim: PV value at the PVG tropopause In this upload, the PVG tropopause time series are included as *.zip files: ERA5 dataset: "pvg-tp_era5_ts.zip" ERA-Interim dataset: "pvg-tp_eraint_ts.zip" MERRA-2 dataset: "pvg-tp_merra2_ts.zip" JRA-55 dataset: "pvg-tp_jra55_ts.zip" Plots of time series for each reanalysis of the variables eqlat_lim, latmean_lim and pv_lim: "pvg_tropopause_timeseries_plots.zip". Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – TRR 301 – Project-ID 428312742, TPChange: The Tropopause Region in a Changing Atmosphere (https://tpchange.de/).
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:PANGAEA Authors: Mennenga, Moritz; Behrens, Anja;Mennenga, Moritz; Behrens, Anja;This is the measurement data from the geomagnetic prospection of the Ahlen-Falkenberger Moor (district of Cuxhaven, Lower Saxony, Germany) as part of the research project Preserved in the bog - relics of prehistoric settlement landscapes in the Elbe-Weser triangle funded by Niedersachsen Vorab. A total of about 800 ha were measured on 93 fields. The aim was to locate archaeological sites as well as landscape features. The measurements were carried out with a MXV3 system from Sensys with 6 FGM650/3 probes with a distance of 0.5m. Each probe consists of 2 sensors with 650mm basedistance and gives the gradient of the vertical component of the magnetic field (Z). The location was measured using a Stonex S10 GPS with Sapos HEPS correction data, resulting in a horizontal position accuracy of 0.01 – 0.02m and an elevation accuracy of 0.02 – 0.03m. The data were exported using DLMGPS (Sensys), whereby the coordinates of the individual probes are automatically determined from the central GPS position on the device. The data were exported without automatic track compensation. Due to the system, the position data is in UTM32/ETRS84 (EPSG 4647) and for conformity with PANGAEA also in WGS84 (EPSG 4326) (conversion is done with spTransform in R). Measurement carried out by D. Dallaserra (NIhK) and J. Lühmann (NIhK)
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:PANGAEA Authors: Mennenga, Moritz; Behrens, Anja;Mennenga, Moritz; Behrens, Anja;This is the measurement data from the geomagnetic prospection of the Ahlen-Falkenberger Moor (district of Cuxhaven, Lower Saxony, Germany) as part of the research project Preserved in the bog - relics of prehistoric settlement landscapes in the Elbe-Weser triangle funded by Niedersachsen Vorab. A total of about 800 ha were measured on 93 fields. The aim was to locate archaeological sites as well as landscape features. The measurements were carried out with a MXV3 system from Sensys with 6 FGM650/3 probes with a distance of 0.5m. Each probe consists of 2 sensors with 650mm basedistance and gives the gradient of the vertical component of the magnetic field (Z). The location was measured using a Stonex S10 GPS with Sapos HEPS correction data, resulting in a horizontal position accuracy of 0.01 – 0.02m and an elevation accuracy of 0.02 – 0.03m. The data were exported using DLMGPS (Sensys), whereby the coordinates of the individual probes are automatically determined from the central GPS position on the device. The data were exported without automatic track compensation. Due to the system, the position data is in UTM32/ETRS84 (EPSG 4647) and for conformity with PANGAEA also in WGS84 (EPSG 4326) (conversion is done with spTransform in R). Measurement carried out by D. Dallaserra (NIhK) and J. Lühmann (NIhK)
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:PANGAEA Authors: Mennenga, Moritz; Behrens, Anja;Mennenga, Moritz; Behrens, Anja;This is the measurement data from the geomagnetic prospection of the Ahlen-Falkenberger Moor (district of Cuxhaven, Lower Saxony, Germany) as part of the research project Preserved in the bog - relics of prehistoric settlement landscapes in the Elbe-Weser triangle funded by Niedersachsen Vorab. A total of about 800 ha were measured on 93 fields. The aim was to locate archaeological sites as well as landscape features. The measurements were carried out with a MXV3 system from Sensys with 6 FGM650/3 probes with a distance of 0.5m. Each probe consists of 2 sensors with 650mm basedistance and gives the gradient of the vertical component of the magnetic field (Z). The location was measured using a Stonex S10 GPS with Sapos HEPS correction data, resulting in a horizontal position accuracy of 0.01 – 0.02m and an elevation accuracy of 0.02 – 0.03m. The data were exported using DLMGPS (Sensys), whereby the coordinates of the individual probes are automatically determined from the central GPS position on the device. The data were exported without automatic track compensation. Due to the system, the position data is in UTM32/ETRS84 (EPSG 4647) and for conformity with PANGAEA also in WGS84 (EPSG 4326) (conversion is done with spTransform in R). Measurement carried out by D. Dallaserra (NIhK) and J. Lühmann (NIhK)
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:PANGAEA Authors: Mennenga, Moritz; Behrens, Anja;Mennenga, Moritz; Behrens, Anja;This is the measurement data from the geomagnetic prospection of the Ahlen-Falkenberger Moor (district of Cuxhaven, Lower Saxony, Germany) as part of the research project Preserved in the bog - relics of prehistoric settlement landscapes in the Elbe-Weser triangle funded by Niedersachsen Vorab. A total of about 800 ha were measured on 93 fields. The aim was to locate archaeological sites as well as landscape features. The measurements were carried out with a MXV3 system from Sensys with 11 FGM650/3 probes with a distance of 0.25m. Each probe consists of 2 sensors with 650mm basedistance and gives the gradient of the vertical component of the magnetic field (Z). The location was measured using a Stonex S10 GPS with Sapos HEPS correction data, resulting in a horizontal position accuracy of 0.01 – 0.02m and an elevation accuracy of 0.02 – 0.03m. The data were exported using DLMGPS (Sensys), whereby the coordinates of the individual probes are automatically determined from the central GPS position on the device. The data were exported without automatic track compensation. Due to the system, the position data is in UTM32/ETRS84 (EPSG 4647) and for conformity with PANGAEA also in WGS84 (EPSG 4326) (conversion is done with spTransform in R). Measurement carried out by D. Dallaserra (NIhK) and J. Lühmann (NIhK)
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=r3730f562f9e::8f2c7c219b14a6f0755919142e6fc872&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:PANGAEA Funded by:NSF | Collaborative Research: A..., NSF | Collaborative Research: S..., NSF | Collaborative Research: S...NSF| Collaborative Research: AccelNet: Permafrost Coastal Systems Network (PerCS-Net) -- A Circumpolar Alliance for Arctic Coastal Community Information Exchange ,NSF| Collaborative Research: Sea-level rise, coastal wetland expansion, and proglacial lake contributions to abrupt increases in northern atmospheric CH4 during the last deglaciation ,NSF| Collaborative Research: Sea-level rise, coastal wetland expansion, and proglacial lake contributions to abrupt increases in northern atmospheric CH4 during the last deglaciationFuchs, Matthias; Jones, Miriam C; Gowan, Evan J; Frolking, Steve; Walter Anthony, Katey M; Grosse, Guido; Jones, Benjamin M; O'Donnel, Jonathan; Brosius, Laura Susan; Treat, Claire C;The methane (CH4) flux was measured during a field campaign in August 2021 on the Kenai Peninsula, Alaska. We chose locations in coastal wetlands along transects to cover a gradient from freshwater flooded into tidal, saltwater flooded wetlands. In total, we measured at 27 different locations including saltwater tidal regularly flooded bare grounds, temporarily irregularly flooded, as well as seasonally flooded, vegetated coastal wetlands. Flux measurements were made with a micro-portable LosGatos greenhouse gas analyzer (LosGatos Research) and a light-weight custom-made bucket chamber consisting of non-transparent PVC (diameter = 26 cm, volume ~ 19,000 cm3). We chose this small, lightweight equipment in order to be highly mobile in muddy, shrubby terrain and measure at field sites which were not easy to access. At each site we measured three replicates for 7 to 10 minutes, described the vegetation cover (if present), and measured the chamber and air temperature. The bucket chamber was equipped with a venting tube and a small fan to have well-mixed conditions in the chamber. The CH4 flux (in mg CH4 m-2 h-1) for each replicate measurement was calculated based on the volume and temperature of the bucket chamber, and the ideal gas law. We manually removed the first 30 sec of each measurement, because of potential disturbance while placing the bucket chamber on the site (we did not use pre-installed collars). Fluxes were calculated by applying a linear regression to the CH4 concentration and were given in mg CH4 m-2 h-1. The r squared was used to determine the quality of the linear regression. Fluxes that had a linear regression with a r squared below 0.9 were discarded. However, we did not want to exclude all the near-zero measurements as these indicate important data as well (no CH4 fluxes). Therefore, all measurements, which were below the precision of the greenhouse gas analyzer of 0.5 ppb (~0.44 mg CH4 m-2 h-1, depending on chamber volume) were included in the analysis as zero fluxes. In a final step, we averaged all the replicates from a measurement site in order to have one CH4 flux value per measurement site and calculated the CH4 flux for the growing season of 153 days in g CH4 m-2 yr-1, which served as input data for the bootstrapping of the Beringia coastal wetland CH4 estimation.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:PANGAEA Authors: Arndt, Stefanie; Nicolaus, Marcel; Ockenfuß, Paul;Arndt, Stefanie; Nicolaus, Marcel; Ockenfuß, Paul;Snow height was measured by the Snow Buoy 2021S89, an autonomous platform, installed in the Atka Bay, Antarctic during Antarctic Fast Ice Network 2021 (AFIN 2021). The resulting time series describes the evolution of snow height as a function of place and time between 07 Jul 2021 and 20 Jan 2022 in sample intervals of 1 hour. The Snow Buoy consists of four independent sonar measurements representing the area (approx. 10 m**2) around the buoy. The buoy was installed on fast ice. In addition to snow height, geographic position (GPS), barometric pressure, air temperature, and an internal ice temperature were measured. Negative values of snow height occur if surface ablation continues into the sea ice. Thus, these measurements describe the position of the sea ice surface relative to the original snow-ice interface. Differences between single sensors indicate small-scale variability of the snow pack around the buoy. The data set has been processed and contains quality flags for different kinds for erroneous data. Flag values are the sum of individual error codes. The value of 0 refers to no error. Quality flag, position: The geographic position is flagged +1 if the drift velocity, as derived from the GPS longitude and latitude, exceeds a threshold of 10 deg latitude or 50 deg longitude per time step; +2 if the position exceeds extreme values, such as longitude > 360 deg; +4 if the position is exactly 0.0. Quality flag, snow: The snow height is flagged for each sensor +1 for manual corrections during processing (e.g. sensor issues); +2 if the snow accumulation exceeds 0.1 m per hour; +4 if the difference in snow height is larger than 0.03 m compared to values within the last and next 2 hours; +32 if the value exceeds the height of sensor on the platform at 1.5 m. Quality flag, temperature: The air temperature is flagged +1 for manual corrections during processing (e.g. sensor issues); + 32 if the value is below – 50 °C. Quality flag, pressure: The barometric pressure is flagged +1 for manual corrections during processing (e.g. sensor issues).
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:PANGAEA Authors: Mennenga, Moritz; Behrens, Anja;Mennenga, Moritz; Behrens, Anja;This is the measurement data from the geomagnetic prospection of the Ahlen-Falkenberger Moor (district of Cuxhaven, Lower Saxony, Germany) as part of the research project Preserved in the bog - relics of prehistoric settlement landscapes in the Elbe-Weser triangle funded by Niedersachsen Vorab. A total of about 800 ha were measured on 93 fields. The aim was to locate archaeological sites as well as landscape features. The measurements were carried out with a MXV3 system from Sensys with 6 FGM650/3 probes with a distance of 0.5m. Each probe consists of 2 sensors with 650mm basedistance and gives the gradient of the vertical component of the magnetic field (Z). The location was measured using a Stonex S10 GPS with Sapos HEPS correction data, resulting in a horizontal position accuracy of 0.01 – 0.02m and an elevation accuracy of 0.02 – 0.03m. The data were exported using DLMGPS (Sensys), whereby the coordinates of the individual probes are automatically determined from the central GPS position on the device. The data were exported without automatic track compensation. Due to the system, the position data is in UTM32/ETRS84 (EPSG 4647) and for conformity with PANGAEA also in WGS84 (EPSG 4326) (conversion is done with spTransform in R). Measurement carried out by D. Dallaserra (NIhK) and J. Lühmann (NIhK)
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:PANGAEA Authors: Mennenga, Moritz; Behrens, Anja;Mennenga, Moritz; Behrens, Anja;This is the measurement data from the geomagnetic prospection of the Ahlen-Falkenberger Moor (district of Cuxhaven, Lower Saxony, Germany) as part of the research project Preserved in the bog - relics of prehistoric settlement landscapes in the Elbe-Weser triangle funded by Niedersachsen Vorab. A total of about 800 ha were measured on 93 fields. The aim was to locate archaeological sites as well as landscape features. The measurements were carried out with a MXV3 system from Sensys with 6 FGM650/3 probes with a distance of 0.5m. Each probe consists of 2 sensors with 650mm basedistance and gives the gradient of the vertical component of the magnetic field (Z). The location was measured using a Stonex S10 GPS with Sapos HEPS correction data, resulting in a horizontal position accuracy of 0.01 – 0.02m and an elevation accuracy of 0.02 – 0.03m. The data were exported using DLMGPS (Sensys), whereby the coordinates of the individual probes are automatically determined from the central GPS position on the device. The data were exported without automatic track compensation. Due to the system, the position data is in UTM32/ETRS84 (EPSG 4647) and for conformity with PANGAEA also in WGS84 (EPSG 4326) (conversion is done with spTransform in R). Measurement carried out by D. Dallaserra (NIhK) and J. Lühmann (NIhK)
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:PANGAEA Authors: Mennenga, Moritz; Behrens, Anja;Mennenga, Moritz; Behrens, Anja;This is the measurement data from the geomagnetic prospection of the Ahlen-Falkenberger Moor (district of Cuxhaven, Lower Saxony, Germany) as part of the research project Preserved in the bog - relics of prehistoric settlement landscapes in the Elbe-Weser triangle funded by Niedersachsen Vorab. A total of about 800 ha were measured on 93 fields. The aim was to locate archaeological sites as well as landscape features. The measurements were carried out with a MXV3 system from Sensys with 11 FGM650/3 probes with a distance of 0.5m. Each probe consists of 6 sensors with 650mm basedistance and gives the gradient of the vertical component of the magnetic field (Z). The location was measured using a Stonex S10 GPS with Sapos HEPS correction data, resulting in a horizontal position accuracy of 0.01 – 0.02m and an elevation accuracy of 0.02 – 0.03m. The data were exported using DLMGPS (Sensys), whereby the coordinates of the individual probes are automatically determined from the central GPS position on the device. The data were exported without automatic track compensation. Due to the system, the position data is in UTM32/ETRS84 (EPSG 4647) and for conformity with PANGAEA also in WGS84 (EPSG 4326) (conversion is done with spTransform in R). Measurement carried out by D. Dallaserra (NIhK) and J. Lühmann (NIhK)
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Research data keyboard_double_arrow_right Dataset 2024 EnglishPublisher:Zenodo Authors: Turhal, Katharina;Turhal, Katharina;These datasets contain time series of the PV-gradient tropopause (PVG tropopause) introduced by A. Kunz (2011, doi:10.1029/2010JD014343) and calculated by K. Turhal (2024, paper " Variability and Trends in the PVG Tropopause" in submission). The PVG tropopause has been computed by means of the Eddy Tracking Toolkit (developed by J. Clemens and K. Turhal, to be published): from four reanalyses: ERA5, ERA-Interim, MERRA-2 and JRA-55 for the time range 1980/01/01 -- 2017/12/31 in time steps of the according reanalyses, i.e. four times daily at 00h, 06h, 12h and 18h on each isentropic level, with potential temperatures (theta) ranging from 320 K to 380 K, in steps of 5 K for ERA5 and 10 K for the other reanalyses. Datasets are provided for each year and isentropic level in NetCDF4 format, every file consisting of two groups for the northern and southern hemisphere. Each group contains the following variables, with time as dimension: time in seconds since 2000/01/01 00:00 UTC u_lim: Zonal wind speed at the PVG tropopause vh_lim: Horizontal wind speed at the PVG tropopause q_lim: Maximum of Q = vh * Grad PV eqlat_lim: Location of the PVG tropopause in equivalent latitudes latmean_lim: Location of the PVG tropopause in latitudes pv_lim: PV value at the PVG tropopause In this upload, the PVG tropopause time series are included as *.zip files: ERA5 dataset: "pvg-tp_era5_ts.zip" ERA-Interim dataset: "pvg-tp_eraint_ts.zip" MERRA-2 dataset: "pvg-tp_merra2_ts.zip" JRA-55 dataset: "pvg-tp_jra55_ts.zip" Plots of time series for each reanalysis of the variables eqlat_lim, latmean_lim and pv_lim: "pvg_tropopause_timeseries_plots.zip". Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – TRR 301 – Project-ID 428312742, TPChange: The Tropopause Region in a Changing Atmosphere (https://tpchange.de/).
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:PANGAEA Authors: Mennenga, Moritz; Behrens, Anja;Mennenga, Moritz; Behrens, Anja;This is the measurement data from the geomagnetic prospection of the Ahlen-Falkenberger Moor (district of Cuxhaven, Lower Saxony, Germany) as part of the research project Preserved in the bog - relics of prehistoric settlement landscapes in the Elbe-Weser triangle funded by Niedersachsen Vorab. A total of about 800 ha were measured on 93 fields. The aim was to locate archaeological sites as well as landscape features. The measurements were carried out with a MXV3 system from Sensys with 6 FGM650/3 probes with a distance of 0.5m. Each probe consists of 2 sensors with 650mm basedistance and gives the gradient of the vertical component of the magnetic field (Z). The location was measured using a Stonex S10 GPS with Sapos HEPS correction data, resulting in a horizontal position accuracy of 0.01 – 0.02m and an elevation accuracy of 0.02 – 0.03m. The data were exported using DLMGPS (Sensys), whereby the coordinates of the individual probes are automatically determined from the central GPS position on the device. The data were exported without automatic track compensation. Due to the system, the position data is in UTM32/ETRS84 (EPSG 4647) and for conformity with PANGAEA also in WGS84 (EPSG 4326) (conversion is done with spTransform in R). Measurement carried out by D. Dallaserra (NIhK) and J. Lühmann (NIhK)
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:PANGAEA Authors: Mennenga, Moritz; Behrens, Anja;Mennenga, Moritz; Behrens, Anja;This is the measurement data from the geomagnetic prospection of the Ahlen-Falkenberger Moor (district of Cuxhaven, Lower Saxony, Germany) as part of the research project Preserved in the bog - relics of prehistoric settlement landscapes in the Elbe-Weser triangle funded by Niedersachsen Vorab. A total of about 800 ha were measured on 93 fields. The aim was to locate archaeological sites as well as landscape features. The measurements were carried out with a MXV3 system from Sensys with 6 FGM650/3 probes with a distance of 0.5m. Each probe consists of 2 sensors with 650mm basedistance and gives the gradient of the vertical component of the magnetic field (Z). The location was measured using a Stonex S10 GPS with Sapos HEPS correction data, resulting in a horizontal position accuracy of 0.01 – 0.02m and an elevation accuracy of 0.02 – 0.03m. The data were exported using DLMGPS (Sensys), whereby the coordinates of the individual probes are automatically determined from the central GPS position on the device. The data were exported without automatic track compensation. Due to the system, the position data is in UTM32/ETRS84 (EPSG 4647) and for conformity with PANGAEA also in WGS84 (EPSG 4326) (conversion is done with spTransform in R). Measurement carried out by D. Dallaserra (NIhK) and J. Lühmann (NIhK)
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:PANGAEA Authors: Mennenga, Moritz; Behrens, Anja;Mennenga, Moritz; Behrens, Anja;This is the measurement data from the geomagnetic prospection of the Ahlen-Falkenberger Moor (district of Cuxhaven, Lower Saxony, Germany) as part of the research project Preserved in the bog - relics of prehistoric settlement landscapes in the Elbe-Weser triangle funded by Niedersachsen Vorab. A total of about 800 ha were measured on 93 fields. The aim was to locate archaeological sites as well as landscape features. The measurements were carried out with a MXV3 system from Sensys with 6 FGM650/3 probes with a distance of 0.5m. Each probe consists of 2 sensors with 650mm basedistance and gives the gradient of the vertical component of the magnetic field (Z). The location was measured using a Stonex S10 GPS with Sapos HEPS correction data, resulting in a horizontal position accuracy of 0.01 – 0.02m and an elevation accuracy of 0.02 – 0.03m. The data were exported using DLMGPS (Sensys), whereby the coordinates of the individual probes are automatically determined from the central GPS position on the device. The data were exported without automatic track compensation. Due to the system, the position data is in UTM32/ETRS84 (EPSG 4647) and for conformity with PANGAEA also in WGS84 (EPSG 4326) (conversion is done with spTransform in R). Measurement carried out by D. Dallaserra (NIhK) and J. Lühmann (NIhK)
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:PANGAEA Authors: Mennenga, Moritz; Behrens, Anja;Mennenga, Moritz; Behrens, Anja;This is the measurement data from the geomagnetic prospection of the Ahlen-Falkenberger Moor (district of Cuxhaven, Lower Saxony, Germany) as part of the research project Preserved in the bog - relics of prehistoric settlement landscapes in the Elbe-Weser triangle funded by Niedersachsen Vorab. A total of about 800 ha were measured on 93 fields. The aim was to locate archaeological sites as well as landscape features. The measurements were carried out with a MXV3 system from Sensys with 11 FGM650/3 probes with a distance of 0.25m. Each probe consists of 2 sensors with 650mm basedistance and gives the gradient of the vertical component of the magnetic field (Z). The location was measured using a Stonex S10 GPS with Sapos HEPS correction data, resulting in a horizontal position accuracy of 0.01 – 0.02m and an elevation accuracy of 0.02 – 0.03m. The data were exported using DLMGPS (Sensys), whereby the coordinates of the individual probes are automatically determined from the central GPS position on the device. The data were exported without automatic track compensation. Due to the system, the position data is in UTM32/ETRS84 (EPSG 4647) and for conformity with PANGAEA also in WGS84 (EPSG 4326) (conversion is done with spTransform in R). Measurement carried out by D. Dallaserra (NIhK) and J. Lühmann (NIhK)
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:PANGAEA Funded by:NSF | Collaborative Research: A..., NSF | Collaborative Research: S..., NSF | Collaborative Research: S...NSF| Collaborative Research: AccelNet: Permafrost Coastal Systems Network (PerCS-Net) -- A Circumpolar Alliance for Arctic Coastal Community Information Exchange ,NSF| Collaborative Research: Sea-level rise, coastal wetland expansion, and proglacial lake contributions to abrupt increases in northern atmospheric CH4 during the last deglaciation ,NSF| Collaborative Research: Sea-level rise, coastal wetland expansion, and proglacial lake contributions to abrupt increases in northern atmospheric CH4 during the last deglaciationFuchs, Matthias; Jones, Miriam C; Gowan, Evan J; Frolking, Steve; Walter Anthony, Katey M; Grosse, Guido; Jones, Benjamin M; O'Donnel, Jonathan; Brosius, Laura Susan; Treat, Claire C;The methane (CH4) flux was measured during a field campaign in August 2021 on the Kenai Peninsula, Alaska. We chose locations in coastal wetlands along transects to cover a gradient from freshwater flooded into tidal, saltwater flooded wetlands. In total, we measured at 27 different locations including saltwater tidal regularly flooded bare grounds, temporarily irregularly flooded, as well as seasonally flooded, vegetated coastal wetlands. Flux measurements were made with a micro-portable LosGatos greenhouse gas analyzer (LosGatos Research) and a light-weight custom-made bucket chamber consisting of non-transparent PVC (diameter = 26 cm, volume ~ 19,000 cm3). We chose this small, lightweight equipment in order to be highly mobile in muddy, shrubby terrain and measure at field sites which were not easy to access. At each site we measured three replicates for 7 to 10 minutes, described the vegetation cover (if present), and measured the chamber and air temperature. The bucket chamber was equipped with a venting tube and a small fan to have well-mixed conditions in the chamber. The CH4 flux (in mg CH4 m-2 h-1) for each replicate measurement was calculated based on the volume and temperature of the bucket chamber, and the ideal gas law. We manually removed the first 30 sec of each measurement, because of potential disturbance while placing the bucket chamber on the site (we did not use pre-installed collars). Fluxes were calculated by applying a linear regression to the CH4 concentration and were given in mg CH4 m-2 h-1. The r squared was used to determine the quality of the linear regression. Fluxes that had a linear regression with a r squared below 0.9 were discarded. However, we did not want to exclude all the near-zero measurements as these indicate important data as well (no CH4 fluxes). Therefore, all measurements, which were below the precision of the greenhouse gas analyzer of 0.5 ppb (~0.44 mg CH4 m-2 h-1, depending on chamber volume) were included in the analysis as zero fluxes. In a final step, we averaged all the replicates from a measurement site in order to have one CH4 flux value per measurement site and calculated the CH4 flux for the growing season of 153 days in g CH4 m-2 yr-1, which served as input data for the bootstrapping of the Beringia coastal wetland CH4 estimation.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:PANGAEA Authors: Arndt, Stefanie; Nicolaus, Marcel; Ockenfuß, Paul;Arndt, Stefanie; Nicolaus, Marcel; Ockenfuß, Paul;Snow height was measured by the Snow Buoy 2021S89, an autonomous platform, installed in the Atka Bay, Antarctic during Antarctic Fast Ice Network 2021 (AFIN 2021). The resulting time series describes the evolution of snow height as a function of place and time between 07 Jul 2021 and 20 Jan 2022 in sample intervals of 1 hour. The Snow Buoy consists of four independent sonar measurements representing the area (approx. 10 m**2) around the buoy. The buoy was installed on fast ice. In addition to snow height, geographic position (GPS), barometric pressure, air temperature, and an internal ice temperature were measured. Negative values of snow height occur if surface ablation continues into the sea ice. Thus, these measurements describe the position of the sea ice surface relative to the original snow-ice interface. Differences between single sensors indicate small-scale variability of the snow pack around the buoy. The data set has been processed and contains quality flags for different kinds for erroneous data. Flag values are the sum of individual error codes. The value of 0 refers to no error. Quality flag, position: The geographic position is flagged +1 if the drift velocity, as derived from the GPS longitude and latitude, exceeds a threshold of 10 deg latitude or 50 deg longitude per time step; +2 if the position exceeds extreme values, such as longitude > 360 deg; +4 if the position is exactly 0.0. Quality flag, snow: The snow height is flagged for each sensor +1 for manual corrections during processing (e.g. sensor issues); +2 if the snow accumulation exceeds 0.1 m per hour; +4 if the difference in snow height is larger than 0.03 m compared to values within the last and next 2 hours; +32 if the value exceeds the height of sensor on the platform at 1.5 m. Quality flag, temperature: The air temperature is flagged +1 for manual corrections during processing (e.g. sensor issues); + 32 if the value is below – 50 °C. Quality flag, pressure: The barometric pressure is flagged +1 for manual corrections during processing (e.g. sensor issues).
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:PANGAEA Authors: Mennenga, Moritz; Behrens, Anja;Mennenga, Moritz; Behrens, Anja;This is the measurement data from the geomagnetic prospection of the Ahlen-Falkenberger Moor (district of Cuxhaven, Lower Saxony, Germany) as part of the research project Preserved in the bog - relics of prehistoric settlement landscapes in the Elbe-Weser triangle funded by Niedersachsen Vorab. A total of about 800 ha were measured on 93 fields. The aim was to locate archaeological sites as well as landscape features. The measurements were carried out with a MXV3 system from Sensys with 6 FGM650/3 probes with a distance of 0.5m. Each probe consists of 2 sensors with 650mm basedistance and gives the gradient of the vertical component of the magnetic field (Z). The location was measured using a Stonex S10 GPS with Sapos HEPS correction data, resulting in a horizontal position accuracy of 0.01 – 0.02m and an elevation accuracy of 0.02 – 0.03m. The data were exported using DLMGPS (Sensys), whereby the coordinates of the individual probes are automatically determined from the central GPS position on the device. The data were exported without automatic track compensation. Due to the system, the position data is in UTM32/ETRS84 (EPSG 4647) and for conformity with PANGAEA also in WGS84 (EPSG 4326) (conversion is done with spTransform in R). Measurement carried out by D. Dallaserra (NIhK) and J. Lühmann (NIhK)
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:PANGAEA Authors: Mennenga, Moritz; Behrens, Anja;Mennenga, Moritz; Behrens, Anja;This is the measurement data from the geomagnetic prospection of the Ahlen-Falkenberger Moor (district of Cuxhaven, Lower Saxony, Germany) as part of the research project Preserved in the bog - relics of prehistoric settlement landscapes in the Elbe-Weser triangle funded by Niedersachsen Vorab. A total of about 800 ha were measured on 93 fields. The aim was to locate archaeological sites as well as landscape features. The measurements were carried out with a MXV3 system from Sensys with 6 FGM650/3 probes with a distance of 0.5m. Each probe consists of 2 sensors with 650mm basedistance and gives the gradient of the vertical component of the magnetic field (Z). The location was measured using a Stonex S10 GPS with Sapos HEPS correction data, resulting in a horizontal position accuracy of 0.01 – 0.02m and an elevation accuracy of 0.02 – 0.03m. The data were exported using DLMGPS (Sensys), whereby the coordinates of the individual probes are automatically determined from the central GPS position on the device. The data were exported without automatic track compensation. Due to the system, the position data is in UTM32/ETRS84 (EPSG 4647) and for conformity with PANGAEA also in WGS84 (EPSG 4326) (conversion is done with spTransform in R). Measurement carried out by D. Dallaserra (NIhK) and J. Lühmann (NIhK)
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:PANGAEA Authors: Mennenga, Moritz; Behrens, Anja;Mennenga, Moritz; Behrens, Anja;This is the measurement data from the geomagnetic prospection of the Ahlen-Falkenberger Moor (district of Cuxhaven, Lower Saxony, Germany) as part of the research project Preserved in the bog - relics of prehistoric settlement landscapes in the Elbe-Weser triangle funded by Niedersachsen Vorab. A total of about 800 ha were measured on 93 fields. The aim was to locate archaeological sites as well as landscape features. The measurements were carried out with a MXV3 system from Sensys with 11 FGM650/3 probes with a distance of 0.5m. Each probe consists of 6 sensors with 650mm basedistance and gives the gradient of the vertical component of the magnetic field (Z). The location was measured using a Stonex S10 GPS with Sapos HEPS correction data, resulting in a horizontal position accuracy of 0.01 – 0.02m and an elevation accuracy of 0.02 – 0.03m. The data were exported using DLMGPS (Sensys), whereby the coordinates of the individual probes are automatically determined from the central GPS position on the device. The data were exported without automatic track compensation. Due to the system, the position data is in UTM32/ETRS84 (EPSG 4647) and for conformity with PANGAEA also in WGS84 (EPSG 4326) (conversion is done with spTransform in R). Measurement carried out by D. Dallaserra (NIhK) and J. Lühmann (NIhK)
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