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geoscientificInformation

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From 1 - 10 / 1882
  • This dataset presents modelled estimates of soil pH at 1km2 resolution across Great Britain. A Generalized Additive Model approach was used with Countryside Survey soil pH data from 2007 and including climate, atmospheric deposition, habitat, soil and spatial predictors. The model is based on soil pH data from 2446 locations across Great Britain and is representative of 0-15 cm soil depth. Soil pH was measured using 10g of field moist soil with 25ml de-ionised water giving a ratio of soil to water of 1:2.5 by weight. The Countryside Survey looks at a range of physical, chemical and biological properties of the topsoil from a representative sample of habitats across the UK. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/4b0e364d-61e6-48fb-8973-5eb18fb454cd

  • This dataset contains the results of a laboratory study investigating the dissolution of UO3•nH2O particles in dynamic sediment/groundwater column systems, representative of the shallow subsurface at the Sellafield Ltd. site, UK. Measurements were carried out to determine the extent of uranic particle dissolution and the speciation of dissolved uranium within the columns under contrasting biogeochemical conditions (oxic and electron-donor amended). Columns effluents were analysed periodically for key biogeochemical indicators (nitrate, sulfate) and trace metals (iron, manganese, uranium) and systems were sacrificed after 6 and 12 months of groundwater flow. Upon sacrifice, columns were cross-sectioned, and the sediment structure preserved for synchrotron micro-focus X-ray Fluorescence (XRF) mapping, and uranium L-edge X-ray Absorption Spectroscopy (XAS) measurements. Sub-samples of column sediments were also analysed for acid extractable metals, microbial abundance and classification and bioavailable Fe(II) concentrations. Experiments were performed between March 2016 and March 2017. Subsequent analyses were performed between March 2017 and December 2018. This data was collected as part of the project: Understanding radioactive ‘hot’ particle evolution in the environment funded by the UK Natural Environment Research Council (grant NE/M014088/1). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/2702e1b0-13df-4ae4-9f91-4ac4bd07bbf1

  • This dataset presents modelled estimates of soil nitrogen concentration (% dry weight soil) at 1km2 resolution across Great Britain. A Generalized Additive Model approach was used with Countryside Survey soil nitrogen data from 2007 and including climate, atmospheric deposition, habitat, soil and spatial predictors. The model is based on soil nitrogen data from 913 locations across Great Britain and is representative of 0-15 cm soil depth. Soil N concentration was determined using a total elemental analyser. The Countryside Survey looks at a range of physical, chemical and biological properties of the topsoil from a representative sample of habitats across the UK. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/8ec2d5ae-5d19-4b58-8cf6-aafdad485bb2

  • This dataset presents modelled estimates of soil carbon concentration (g kg-1) at 1km2 resolution across Great Britain. A Generalized Additive Model approach was used with Countryside Survey soil carbon data from 2007 and including climate, atmospheric deposition, habitat, soil and spatial predictors. The model is based on soil carbon data from 2446 locations across Great Britain and is representative of 0-15 cm soil depth. Loss-on-ignition (LOI) was determined by combustion of 10g dry soil at 375 degrees Celsius for 16 hours; carbon concentration was estimated by multiplying LOI by a factor of 0.55. The Countryside Survey looks at a range of physical, chemical and biological properties of the topsoil from a representative sample of habitats across the UK. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/3aaa52d3-918a-4f95-b065-32f33e45d4f6

  • This data set includes a range of physico-chemical properties measured from topsoil within a wide range of land use types across Wales, collected as part of the Glastir Monitoring and Evaluation Programme (GMEP). The properties included are: soil organic matter (loss on ignition (LOI)), derived carbon concentration, total soil organic carbon (SOC), nitrogen, total soil phosphorous, Olsen-phosphorous (within improved land only), pH, electrical conductivity, soil bulk density of fine earth, fine earth volumetric water content when sampled and soil water repellency - water drop penetration time. The monitoring programme was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016. The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the Centre for Ecology & Hydrology. Full details about this dataset can be found at https://doi.org/10.5285/0fa51dc6-1537-4ad6-9d06-e476c137ed09

  • ADMAP2 is the second generation Antarctic magnetic compilation for the region south of 60 deg S. This dataset includes 3.5 million line-km of aeromagnetic and marine magnetic data from multiple nations, which is more than double that in the original ADMAP compilation. For the new compilation, the magnetic data sets were corrected for the International Geomagnetic Reference Field, diurnal effects, and high-frequency errors and levelled, gridded, and stitched together. The new dataset provides an unprecedented view of the sub-surface geological structure of Antarctica. It represents a major milestone of the international Scientific Committee on Antarctic Research (SCAR) Antarctic Digital Magnetic Anomaly (ADMAP) Project. Funding was provided by the Korea Polar Research Institute (KOPRI). Grant Numbers: PM15040, PE17050.

  • Long-range airborne geophysical measurements were carried out in the ICEGRAV campaigns (2010-2013), covering hitherto unexplored parts of interior East Antarctica and part of the Antarctic Peninsula. The airborne surveys provided a regional coverage of gravity, magnetic and ice-penetrating radar measurements for major Dronning Maud Land ice stream systems, from the grounding lines up to the Recovery Lakes drainage basin, and filled in major data voids in Antarctic data compilations.We present here the processed line aeromagnetic data collected using scintrex cesium magnetometers mounted on the BAS aerogeophysical equipped Twin Otter. Data are provided as XYZ ASCII line data.

  • This gridded dataset contains the revised bathymetry model beneath the Brunt Ice Shelf and Stancomb-Wills Glacier Tongue, Antarctica, The revised bathymetric model integrates existing direct bathymetry observations and free air gravity anomaly data to provide the best possible estimate of sub-ice shelf bathymetry. The input direct bathymetric/topographic observations, observation locations, and the input free air compilation are also available as additional separate grid files. All files are provided in NetCDF format in Antarctic Polar Stereographic (EPSG:3031) projection with a horizontal resolution of 2km. The output bathymetry model (Final_adjusted_topography.nc), input topographic observations (Topographic_value_grid.nc) and input topographic observation coverage (Topographic_observation_coverage.nc) have elevation values of metres, positive upwards. The input free air gravity anomaly grid (Brunt_FAA_compilation_grid.nc) has values of mGal. The bathymetric model was produced for the paper of Hodgson et al., (2019) investigating the past and future dynamics of the Brunt Ice Shelf. The publication reference is; Hodgson, D. A., Jordan, T. A., De Rydt, J., Fretwell, P. T., Seddon, S. A., Becker, D., Hogan, K. A., Smith, A. M., and Vaughan, D. G.: Past and future dynamics of the Brunt Ice Shelf from seabed bathymetry and ice shelf geometry, The Cryosphere Discuss., https://doi.org/10.5194/tc-2018-206, in review, 2018.

  • The British Antarctic Survey holds magnetic data measuring the plasmaspheric mass loading on magnetic field lines in Antarctica. The network of Low Power Magnetometer (LPM) instruments consists of permanent and temporary sites. The data is collected in 3 D fluxgate at up to 1 second and 1 nT resolution. Samples are taken once a second for 150 milliseconds at maximum power. This decreases to once a minute if power is low over the winter. Time and position is measured using an attached GPS system.

  • The British Antarctic Survey holds magnetic data measuring the plasmaspheric mass loading on magnetic field lines in Antarctica. The network of Low Power Magnetometer (LPM) instruments consists of permanent and temporary sites. The data is collected in 3 D fluxgate at up to 1 second and 1 nT resolution. Samples are taken once a second for 150 milliseconds at maximum power. This decreases to once a minute if power is low over the winter. Time and position is measured using an attached GPS system.