The dataset consists of pH, Loss on ignition (Soil organic matter) measurements and soil group information taken from soil samples from plots in 103 woodland sites surveyed across Great Britain in 1971 and again over the growing seasons of 2000, 2002 and 2003 (referred to as '2001 survey'), using exactly the same field methods. Data were collected under projects managed by The Nature Conservancy (in 1971) and the Centre for Ecology & Hydrology (in 2001). Full details about this dataset can be found at https://doi.org/10.5285/fb1e474d-456b-42a9-9a10-a02c35af10d2

These spatial layers map the suitability of climate conditions for infection of Phytophthora ramorum and Phytophthora kernoviae across the UK. The model is based on laboratory data of environmental responses of these pathogens and hourly temperature and relative humidity regimes between 2007 and 2011, and focuses on how many times infection could have been completed within running 48 hour periods through the year. Average suitability of conditions are mapped for the whole period and for individual years from 2007 to 2011. This research was funded by the Scottish Government under research contract CR/2008/55, 'Study of the epidemiology of Phytophthora ramorum and Phytophthora kernoviae in managed gardens and heathlands in Scotland' and involved collaborators from St Andrews University, Science and Advice for Scottish Agriculture (SASA), Scottish Natural Heritage (SNH), Forestry Commission, the Food and Environment Research Agency (FERA) and the Centre for Ecology & Hydrology (CEH). This dataset forms part of a series. Full details about this dataset can be found at https://doi.org/10.5285/a13d5821-824f-41ba-a930-26a5f0f4d2a6

The dataset consists of diameter at breast height (DBH) measurements taken from trees and shrubs recorded in plots in 103 woodland sites surveyed across Great Britain in 1971 and again over the growing seasons of 2000, 2002 and 2003 (referred to as '2001 survey'), using exactly the same field methods. Data were collected under projects managed by The Nature Conservancy (in 1971) and the Centre for Ecology & Hydrology (in 2001). Full details about this dataset can be found at https://doi.org/10.5285/4d93f9ac-68e3-49cf-8a41-4d02a7ead81a

The dataset consists of slope, aspect, locations, descriptions and habitat categories from plots and sites in 103 woodlands surveyed across Great Britain in 1971 and again over the growing seasons of 2000, 2002 and 2003 (referred to as '2001 survey'), using exactly the same field methods. Data were collected under projects managed by The Nature Conservancy (in 1971) and the Centre for Ecology & Hydrology (in 2001). Full details about this dataset can be found at https://doi.org/10.5285/d6409d40-58fe-4fa7-b7c8-71a105b965b4

This dataset consists of the vascular plants, bryophytes and lichens recorded in plots in 103 woodland sites surveyed across Great Britain in 1971 and again over the growing seasons of 2000, 2002 and 2003 (referred to as '2001 survey'), using exactly the same field methods. Data were collected under projects managed by The Nature Conservancy (in 1971) and the Centre for Ecology & Hydrology (in 2001). Full details about this dataset can be found at https://doi.org/10.5285/2d023ce9-6dbe-4b4f-a0cd-34768e1455ae

The data describes future land use projections at 1 km^2 resolution developed by CRAFTY-GB. For each of six Shared Socioeconomic Pathways (SSP-RCP) scenarios, gridded land use maps for Great Britain are provided, each as a stacked raster file with seven bands representing land use at each decadal timestep, from 2020 to 2080. CRAFTY-GB is a new agent-based model of the British land system operating at a 1 km^2 resolution and based on a broad range of available land system data . The model is based on linked UK-RCP climate scenarios and UK-SSPs socio-economic pathway (SSP) scenarios, based on global SSPs developed by the Intergovernmental Panel on Climate Change (IPCC). It extrapolates the impact of these on the British Land system at decadal timesteps from 2020-2080. Full details about this dataset can be found at https://doi.org/10.5285/f9ab3051-4f85-415f-b691-371ff8e951f2