The dataset contains the chemical composition of anaerobic digestates derived from source-segregated food waste & agro-waste, with and without biomass ash, after the addition commercial polymer to enhance dewaterability. A preliminary experiment was carried to determine the type of polymer and its optimum dose (WP1A1). Then, polymer was added to digestate and digestate/ash blends, let react for short-time and physically separated into their fiber and liquid fractions (WP1A2). These experiments were carried out in the laboratory during 2016, being measured via a combination of internal and external laboratories. Preliminary experiment (WP1A1) contains data on polymer type, dose and mass added as well as supernatant and solids separated. Main experiment contain data on masses (dry & total solids), supernatant volume, pH and plant macro-nutrients profile (total concentration of Ca, Mg, P, K, TKN and S). Full details about this dataset can be found at https://doi.org/10.5285/2977fc7b-f83e-4696-b06b-2f589ffa6965

The dataset contains the chemical compositional changes occurred in anaerobic digestate, with and without biomass ash, simulating storage conditions during 128 days. Additionally, Sulphuric Acid (H2SO4) was added to these materials to test the effectivity on preventing nitrogen loss via acidification. Experiments were carried out in the laboratory during 2016, being measured via a combination of internal and external laboratories. The dataset provides data on chemical changes, namely: dry solids, pH, Kjeldahl nitrogen and total sulphur. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/e91e8c28-0176-4c5b-9b20-611eb505ab39

This dataset includes six sets of model output from JULES/IMOGEN simulations. Each set includes output from JULES (the Joint UK Land Environment Simulator) run with 34 climate change patterns from 2000-2099. The outputs provide carbon stocks and variables related to the surface energy budget to understand the implications of land-based climate mitigation. Full details about this dataset can be found at https://doi.org/10.5285/333eb066-be07-4209-9dfe-2d9d18560de6

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