Data comprise body length (micrometres) of nematode (Caenorhabditis elegans) offspring from a laboratory study in which animals were exposed to control (0 copper) or copper dosed agar at different average temperatures (8 to 24 °C)) and under fluctuation conditions of low (plus or minus 4 °C) and high (plus or minus 8 °C) amplitude (average temperatures of 12, 16, 20 °C and 16 °C respectively) Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/af125e27-3b70-4f0a-81fb-a7eb10f64ef7

This dataset reports metrics of plant growth, including height, total biomass and the biomass of component plant parts, and percentage root colonisation by mycorrhizas, for tree seedlings of eight tropical and seven subtropical growing in pots of soil that had been amended by addition of various sources of phosphorus (inorganic phosphate, adenosine monophosphate, phytic, or a mixture of all three) plus an unfertilized control treatment with no P additions. The aim of the experiment was to test the hypothesis that seedlings of species that associate with different types of root-inhabiting mycorrhizal fungi would respond differently to the range of P sources applied in the experiment. The experiments were conducted as part of a NERC Discovery Science project with the title Explaining niche separation in tropical forests: feedbacks from root-fungal symbioses and soil phosphorus partitioning led by Professor David Burslem (University of Aberdeen) reference NE/M004848/1. Full details about this dataset can be found at https://doi.org/10.5285/3ad644c9-e341-4a15-ab35-311076defc33

This dataset comprises summary data for a literature search on invasive alien species (IAS) control efficacy and their outcomes. It contains article title, authors, journal, year of publication, taxa investigated, type of control method, and whether the paper evaluated outcomes. Overall, 373 publications were assessed. The literature search on Web of Science and the subsequent screening were conducted between May and July 2020. Full details about this dataset can be found at https://doi.org/10.5285/7b274f84-0d93-416d-a5b3-54f3387cebd5

This dataset is a set of 24 gridded netcdf files, each including data describing a total of 14,400 widespread flooding events across mainland GB, with event selection based on a peaks-over-threshold approach. The data describes peak river flow in m3/s and the associated annual probability of exceedance for each 1km grid-square on the GB river network. The data is extracted from daily time series data from the Grid-to-Grid model, using UKCP18 12km regional projections from 12 members of a perturbed parameter ensemble, over the periods Dec 1980 – Nov 2010 and Dec 2050 – Nov 2080 (based on 360-day years). Multi-day events were summarised by taking cell-wise flow maxima. This data was generated for use in analysis of risk through catastrophe modelling using the Future Flows Explorer. It was generated and interpreted by UKCEH, working with Sayers & Partners Consultancy, as part of the AquaCAT project, part of the UK Climate Resilience Programme. Full details about this dataset can be found at https://doi.org/10.5285/26ce15dd-f994-40e0-8a09-5f257cc1f2ab

Data comprise stable element concentrations for a range of elements, radionuclide activity concentrations for the isotopes K-40 and Cs-137 and radionuclide and stable element concentration ratios. Samples of soil, water, vegetation (grasses, trees, herbaceous plants and shrubs), fungi, earthworms, bees, wood mice, bank voles, common frogs, frogspawn and European toads were collected between March 2015 and October 2016 from two forests in north-east England. The study was conducted to target representative terrestrial species of the ICRPs Reference Animals and Plants. Funding for this work was via the TREE project funded by NERC, the Environment Agency and Radioactive Waste Management Ltd. under the RATE programme. Full details about this dataset can be found at https://doi.org/10.5285/8f85c188-a915-46ac-966a-95fcb1491be6

This dataset contains gridded human population with a spatial resolution of 1 km x 1 km for the UK based on Census 2011 and Land Cover Map 2015 input data. Data on population distribution for the United Kingdom is available from statistical offices in England, Wales, Northern Ireland and Scotland and provided to the public e.g. via the Office for National Statistics (ONS). Population data is typically provided in tabular form or, based on a range of different geographical units, in file types for geographical information systems (GIS), for instance as ESRI Shapefiles. The geographical units reflect administrative boundaries at different levels of detail, from Devolved Administration to Output Areas (OA), wards or intermediate geographies. While the presentation of data on the level of these geographical units is useful for statistical purposes, accounting for spatial variability for instance of environmental determinants of public health requires a more spatially homogeneous population distribution. For this purpose, the dataset presented here combines 2011 UK Census population data on Output Area level with Land Cover Map 2015 land-use classes 'urban' and 'suburban' to create a consistent and comprehensive gridded population data product at 1 km x 1 km spatial resolution. The mapping product is based on British National Grid (OSGB36 datum). Full details about this dataset can be found at https://doi.org/10.5285/0995e94d-6d42-40c1-8ed4-5090d82471e1

This data contains the results of student and professional perceptions surveys conducted in the UK before and after e-Learning training, as part of a project to determine the effectiveness of e-Learning as a training tool. The dataset include two surveys; before and after e-Learning training. Students and professionals were given two separate surveys which were combined to create one dataset. The surveys were collected between September 2015 and July 2018. The objective of the survey was to collect data on participants’ awareness, risk perceptions and self-reported behaviours on biosecurity for invasive species. The topics on both the before and after survey included age, role at institution, field of work/study, field activity environments, cleaning methods for equipment, outerwear/footwear and transport and awareness and perceptions of risk around invasive species and biosecurity campaigns. The data does not include the aggregated cleaning scores that were used for the analysis nor has it excluded any participants that were not used in the final data analysis. The dataset has been anonymised by removing names of respondents, email addresses, departments or organisations worked for or studied in, and text responses which could have made the participant identifiable. The research was funded by NERC project no NE/N008391/1. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/ac271791-b722-489c-9b68-b37316ec826c

This dataset contains the percentage of the total pasture area in each country classified as vulnerable to water scarcity (annual run-off is declining and the water shed is defined as water scarce in 2050). Projections of global changes in water scarcity with the current extent of pasture land were combined to identify the potential country level vulnerabilities of pasture land to water scarcity in 2050. The data relate to an analysis of the impact changes in water availability will have on pasture availability in 2050. Full details about this dataset can be found at https://doi.org/10.5285/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f

This dataset contains a colony performance indicator monitored from Bumblebee colonies of similar mass after 43-48 days in the field. The weight in milligrams (mg) is given of each surviving bee recorded as it was removed from the outside of the nest as we progressed towards the nest core. Bumblebee colonies of similar mass were provided with sugar syrup (UT, n=12), containing chlorpyrifos (CP, 150 nanomolar nM, n=6) imidacloprid (IMD, 10 nM, n= 6) or both (IMD + CP, n=12). No pollen was provided and bees were free to forage in a wilderness/grassland area in the west of Scotland. The data were collected as part of a project within the UK Insect Pollinators Initiative (2010-2015). Full details about this dataset can be found at https://doi.org/10.5285/341414f8-e88a-43e5-ade3-c30623c1586d

This dataset consists of faecally-contaminated samples taken from the environment around pre-weaned calves on 51 farms in South-West England during 2017/2018 and is a subset of a larger dataset investigating antibiotic resistance in E. coli across 53 farms. The samples were analysed for presence of E. coli resistant to amoxicillin, streptomycin, cephalexin, tetracycline and/or ciprofloxacin. Management factors deemed related to pre-weaned calves are included, including antibiotic usage data at farm level. Full details about this dataset can be found at https://doi.org/10.5285/808b2b62-14db-4483-b0e6-5f533c007eec