This dataset contains 10km summarised occurrence data for terrestrial mammals as mapped in the Atlas of Mammal of Great Britain and Northern Ireland published by the Mammal Society in 2020. For each species 10km grid squares were categorised based on whether the species was recorded in that square only the current atlas time period (2000-2016), only the previous atlas time period (1960-1992) or in both time periods. The dataset contains data for all species mapped in the atlas, with the exception of cetaceans which are not included in the dataset. Full details about this dataset can be found at https://doi.org/10.5285/ab61349e-c055-477c-9872-22a4f7cc2473

Morphological and life history data collected from three bat species, Barbastella barbastellus, Plecotus auritus and Myotis escalerai, captured in England, Spain and Portugal to study adaptive responses to climate change. The data includes species identity, location of capture at 10 km resolution, date of capture, sex, age category, reproductive condition, forearm length (in millimetres) and body mass (in grams). Full details about this dataset can be found at https://doi.org/10.5285/dd90c2fa-e6c6-4fc7-a578-b7e4a622dddf

This dataset consists of counts of pollinating insects from sites across Wales, with associated information on flower cover and survey conditions. Data were collected during (1) transect walks and (2) timed observations of pollinator-flower interactions. Data were collected between 2013 and 2016 from sites across Wales as part of the Glastir Monitoring and Evaluation Programme (GMEP). The monitoring programme was set up by the Welsh Government to monitor the effects of the Glastir agri-environment scheme on the environment. The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the UK Centre for Ecology & Hydrology. Full details about this dataset can be found at https://doi.org/10.5285/3c8f4e46-bf6c-4ea1-9340-571fede26ee8

Data on resilience of wheat yields in England, derived from the annual Defra Cereals and Oilseeds production survey of commercial farms. The data presented here are summarised over a ten-year time-series (2008-2017) at 10km x10km grid cell (hectad) resolution. The data give the mean yield, relative yield, yield stability and resistance to an extreme event (the poor weather of 2012), for all hectads with at least one sampled farm holding in each year of the time-series (i.e. the minimum data required to calculate the resilience metrics). These metrics were calculated to explore the impact of landscape structure on yield resilience. The data also give the number of samples per year per hectad, so that sampling biases can be explored and filtering applied. No hectads are included that contain data from <9 holdings across the time series (the minimum level required by Defra to maintain anonymity is <5). The data were created under the ASSIST (Achieving Sustainable Agricultural Systems) project by staff at the UK Centre for Ecology & Hydrology to enable exploration of the impacts of agriculture on the environment and vice versa, enabling farmers and policymakers to implement better, more sustainable agricultural practices. Full details about this dataset can be found at https://doi.org/10.5285/7dbcee0c-00ca-4fb2-93cf-90f2a5ca37ea

This dataset contains time series observations of surface-atmosphere exchanges of sensible heat (H) and latent heat (LE) and momentum (τ) measured at UKCEH eddy covariance flux observation sites during summer 2019. The dataset includes ancillary weather and soil physics observations made at each site. Eddy covariance (EC) and micrometeorological observations were collected using open-path eddy covariance systems. Flux, meteorological and soil physics observations were collected and processed using harmonised protocols across all sites. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/0254620f-9cf1-4d5b-af3f-bd8a6af95e96

This dataset consists of mid-infrared (MIR) spectra measured on 427 archived soil samples from arable and grassland habitats across Great Britain in 2007. Data on diffuse reflectance spectra were obtained from subsamples of finely ground soil, recorded as absorbance values for wavenumber range 4000-400 cm-1. The soil samples were collected as part of the Countryside Survey monitoring programme, a unique study or 'audit' of the natural resources of the UK's countryside. The analyses were conducted as part of study aiming to quantify how soil quality indicators change across a gradient of agricultural land management and to identify conditions that determine the ability of different soils to resist and recover from perturbations. Full details about this dataset can be found at https://doi.org/10.5285/d66ca0a6-403d-4f5a-bef1-8ee177f1e1b3

This data set consists of freshwater pond quality data for sites across Wales between 2013 and 2016. Data include macrophyte species records, chemistry and water quality metrics, and environmental variables such as pollution, grazing and management from surveyed ponds. Ponds were surveyed within a set of up to 300 x 1km squares across Wales (not all sites contained pond features), collected as part of the Glastir Monitoring and Evaluation Programme (GMEP). The monitoring programme was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016. The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the UK Centre for Ecology & Hydrology. Full details about this dataset can be found at https://doi.org/10.5285/687b38d3-2278-41a0-9317-2c7595d6b882

This dataset includes soil mass, organic phosphorus, carbon and nitrogen concentrations for light and heavy fractions, obtained from soils collected from UK habitats. The dataset includes twenty soils, collected from the Ribble, Avon and Conwy catchments in the North West, South and North Wales respectively. Samples were split into light and heavy fractions using a physicochemical fractionation method. The dataset also includes recoveries of carbon, nitrogen and phosphorus as a measure of the efficacy of the fractionation method. Extra data on sampling location, catchments conditions and bulk soil texture are also included in this dataset. Full details about this dataset can be found at https://doi.org/10.5285/e6e9a85c-b537-4110-899f-2c1498bc826c

This data set consists of records of point landscape features and associated attributes from sites across Wales, collected between 2013 and 2016. Data are presented as records of features such as trees, ponds and buildings with associated species and condition measures where applicable. Features were surveyed within a set of up to 300 x 1km squares across Wales (not all sites contained point features), collected as part of the Glastir Monitoring and Evaluation Programme (GMEP). The monitoring programme was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016. The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the Centre for Ecology & Hydrology. Full details about this dataset can be found at https://doi.org/10.5285/9f8d9cc6-b552-4c8b-af09-e92743cdd3de

The dataset contains abundance trends for 432 species of moths (mostly macro-moths) estimated using the data collected by Rothamsted Insect Survey (RIS) from their light-trap network between the years 1968 and 2016. The trends were calculated using a Generalized Abundance Index (GAI) model. The trends are presented as year coefficients from the statistical model, Annual Growth Rates (AGR), and the total percentage changes over the time series for each species. For each trend metric 95% and 90% confidence intervals are provided. Two versions of the trends are presented: one using data from all traps in the Britain & Ireland over the period of 1968-2016 and a second dataset restricted to traps in Great Britain over the period of 1970-2016. Data acquisition was partially funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 Achieving Sustainable Agricultural Systems (ASSIST). ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC). The Rothamsted Insect Survey is funded by the BBSRC under the Core Capability Grant BBS/E/C/000J0200. The research builds upon model development supported by NERC award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/0a7d65e8-8bc8-46e5-ab72-ee64ed851583