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  • 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

  • This dataset contains information on the performance of soil microbial communities (from field soil washes), soil synthetic microbial populations (from isolates within a single bacterial genus) and plants each originating from either drought and control long-term climate treatments at the Buxton Climate Change Impacts Lab (BCCIL), in a microcosm experiment. Plant and microbe provenance were manipulated to effect different combinations of climate ancestry in different microcosm pots. In addition, a factorial watering treatment (control or drought treatment) was applied. Isolates of Pseudomonas used to found experimental populations of soil microbes had been sampled from the roots of Festuca ovina in the control and drought treatments at BCCIL. Variables measured included soil respiration, plant traits, plant available soil nutrients, soil enzyme activities, soil respiration responses to substrate addition (in a substrate utilisation profiling assay), and soil respiration responses to drought (in a substrate utilisation profiling assay). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/e09db3ad-c54a-4f99-bf3c-37ee63fc2998

  • 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

  • This dataset contains information on the performance of soil eubacteria inoculated into soil microcosms and exposed to a series of experimental droughts (or control conditions) in an experimental evolution study. Isolates of Bacillus and Pseudomonas included in the experimental evolution study had been sampled from the roots of Festuca ovina in the control treatment at the Buxton Climate Change Impacts Lab (BCCIL). Variables measured included estimates of microbial population size (via qPCR), microcosm soil respiration in response to substrate addition (in a substrate utilisation profiling assay) and water loss from the soil in response to the experimental drought/control treatments. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/4b27e5d5-2ec4-4b72-9939-ab66c2818612

  • 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

  • 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

  • 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