From 1 - 3 / 3
  • The dataset contains three modelled estimates of global ammonia emissions from seabird colonies, at a spatial resolution of 0.1 degrees latitude/longitude. The model estimates were derived with a) detailed global seabird population data collated from a large number of sources (data sources date from 1980-2010 for different parts of the world) b) climate data (source: High-resolution Gridded Datasets, Climatic Research Unit, University of East Anglia, UK. last updated by Harris, I. (2007), date: 1995) c) emission model derived by Riddick et al. (2012) with funding for the project from the CEH Integrating Fund (NERC). A detailed description and discussion of the datasets, including methodology and uncertainties, can be found in the following peer-reviewed article: S. N. Riddick, U. Dragosits, T. D. Blackall, F. Daunt, S. Wanless and M. A. Sutton (2012) The global distribution of ammonia emissions from seabird colonies. Atmospheric Environment, 55 (2012), pp. 319-327 Full details about this dataset can be found at

  • Data collected during field and laboratory experiments to investigate the long-term effects of biochar application to soil on greenhouse gas emissions in a bioenergy plantation (Miscanthus X. giganteus). Analysis included monitoring of greenhouse gas emissions (carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O)), soil physical (bulk density and soil moisture ) and soil chemical analyses (total carbon (C) and nitrogen (N), extractable ammonium and nitrate). Biochar was applied to plots in a bioenergy plantation and emissions of CO2, CH4 and N2O were measured over a 2 year period. In addition a laboratory incubation experiment was conducted on soil taken from the Miscanthus field amended with field-incubated biochar to assess the effect on greenhouse gas emissions. Biochar is a carbon rich substances which is being advocated as a climate mitigation tool to increase carbon sequestration and reduce nitrous oxide emissions. Full details about this dataset can be found at

  • This dataset estimates and spatially distributes anthropogenic emissions of five metals (Cd, Cu, Ni, Pb & Zn) and seven air pollutants (CO, NH3, NOx, PM2.5, PM10, SOx & NMVOCs) in the UK, on a 1km x 1km resolution, from 1750 to 2100. The data from 1970 to 2018 are represented by the UK’s National Atmospheric Emissions Inventory and, as such, the Selected Nomenclature for Air Pollution (SNAP) sector classification system is used throughout the entire time series for consistency (see for details). The work was supported by the UK-SCAPE programme funded by Natural Environmental Research Council National Capability (Award NE/R016429/1) Full details about this dataset can be found at