The dataset contains results of analysis of soil cores taken from a commercial Miscanthus bioenergy plantation located near Lincolnshire. Measurements are provided for each soil core (and separated increments to a maximum depth of 1 m) including soil carbon, soil moisture, root, and stone volume and bulk density. Samples were taken prior to (2011) and after (2016) remedial tillage activities (conducted in 2013). The dataset also includes samples from a paired arable control field (sampled in 2011) and a paired un-tilled Miscanthus field (sampled in 2016). Data from 2011 covers surface soil (0-30 cm) and data for 2016 covers soil profile to a depth of 1 m in 10 cm increments. Full details about this dataset can be found at https://doi.org/10.5285/0ec2db12-eead-41d6-96d5-28760c4f03e8

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 two-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 https://doi.org/10.5285/e9baffd1-18ad-435e-94e2-01e49c14c547

This dataset contains potential yields of Miscanthus and changes to soil carbon storage resulting from Miscanthus cultivation. The purpose of this study was to evaluate and compare diverse modelling techniques for evaluating the potential of bioenergy crops to mitigate climate change. Three different types of gridded global models were used: a land surface model, JULES (the Joint UK Land Environment Simulator); a bioenergy crop model, MiscanFor; and an integrated assessment model, IMAGE (Integrated Model to Assess the Global Environment). The simulated scenario uses land use and climatology from RCP (Representative Concentration Pathway) 2.6 and focuses on two study areas: the tropics during 2040-49, and Europe during 2090-99. These data were generated as part of the NERC programme Feasibility of Afforestation and Biomass energy with carbon capture storage for Greenhouse Gas Removal (FAB GGR) (Grant NE/P019951/1). Full details about this dataset can be found at https://doi.org/10.5285/16b26b21-98ce-4c26-8b9e-c80c91403d9e