The dataset provides measurement of timing of germination and seed mass in the F1 progeny, the P1 paternal contribution to F1 offspring (paternal reproductive success), and assesses the effects of flowering time on the mating system for Festuca ovina (F. ovina) after seventeen years of in-situ experimental drought treatment. The study was conducted at the Buxton Climate Change Impacts Laboratory (BCCIL) and began in July 2010. Full details about this dataset can be found at https://doi.org/10.5285/65c14df6-b762-441c-8d8d-9112f7350f03

This resource provides code to fit a transmission model of bovine tuberculosis spread to a population of wild badgers in Woodchester Park in the UK. The code produces Markov chain Monte Carlo samples from a model fitted to individual-level badger data from Woodchester Park. The badger data came from and can be requested from the Animal and Plant Health Agency. Example outputs are provided in the Supporting Information. This code was developed as part of a Natural Environment Research Council funded grant (number NE/V000616/1). Full details about this application can be found at https://doi.org/10.5285/fe0f6bd7-ffd2-4e21-8c84-493cf4f3080d

This dataset contains a model, input data and outputs of the Emerald Ash Borer (EAB; Agrilus planipennis) lifecycle and spread across Great Britain. Nine different scenarios are considered related to how certain we are that EAB will arrive through known pathways related to wood imports (70%, 50%, 30%) and the probability that EAB would escape at port rather than at the onwards depots (25%, 50%, 75%). The model outputs can be used to predict the best places to locate surveillance technologies (i.e., girdled trees or traps) and included in this dataset are optimised trap locations for 27 scenarios (three trapping types for each of the nine different scenarios). Full details about this dataset can be found at https://doi.org/10.5285/6209742a-bfd6-4fbc-9b40-29d7d75d57b4

The data describe the ecological responses (invertebrate diversity and biomass, plant diversity, soil characteristics and microbial diversity) to experimental manipulation of floristic diversity and vegetation height in planted urban meadows. The experiment consisted of a replicated set of nine different perennial meadow treatments, sown in six public urban greenspaces in the towns of Bedford and Luton, in the UK. Full details about this dataset can be found at https://doi.org/10.5285/d0741544-cdf3-497d-996b-e30b4b7373c1

This dataset contains information on tree, site and soil properties from three oak woodland sites in southern England: Writtle Forest, Monks Wood, and Stratfield Brake. Data were collected in 2016 to investigate the relationship between Acute Oak Decline (AOD) symptoms and local environmental factors. The study included 10 symptomatic and 10 asymptomatic trees at each site. Tree characteristics include latitude and longitude coordinates, species-level classification (based on morphological measurements and genetic SNP analysis confirming identity as Quercus robur, Quercus petraea, or hybrids), tree dimensions (height, diameter at 1.35 m, crown dimensions), crown condition (density reduction), and rooting depth. Data on the surrounding site context were also collected, including depth to gleying, basal area of surrounding stands (measured at 0–20 m and 20–40 m), compound topographic index, and tree social status (e.g., dominant, codominant, suppressed). Soil characteristics were analysed to capture both physical and chemical properties. Physical properties included texture and bulk density, while chemical analyses measured organic matter content, pH, total carbon and nitrogen, mineral nitrogen (nitrate and ammonium), ‘Olsen’ extractable phosphorus, cation exchange capacity, and concentrations of exchangeable cations. The work was supported by the grant BB/N022831/1 (‘PuRpOsE’) with additional funding from the Woodland Trust, Bartlett’s Tree Experts and The University of Reading. Full details about this dataset can be found at https://doi.org/10.5285/9947ccc9-7396-4821-b095-c374bd857305