[THIS DATASET HAS BEEN WITHDRAWN]. 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/10.5285/422adbc3-306e-437a-9fe1-c7b53a374f87

This data set consists of Particle Size Distribution (PSD) measurements, analysed in a sub set of soil samples with a loss on ignition lower than 50%, taken from within a range of land use types across Wales, collected as part of the Glastir Monitoring and Evaluation Programme (GMEP). Laser granulometry was used to measure the PSD. 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, 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/d6c3cc3c-a7b7-48b2-9e61-d07454639656

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

This data set consists of measurements of lengths of linear landscape features and associated attributes from sites across Wales, collected between 2013 and 2016. Data are presented as lengths of features such as hedges ('woody linear features'), fences, walls, banks and streams, 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 linear 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/f481c6bf-5774-4df8-8776-c4d7bf059d40

Data were collected in 2017, to provide information on spatial patterns of dune migration rates and associated water flow characteristics, at locations on the South Saskatchewan River, Canada. Dune migration rates were measured using repeat aerial imagery. Bedform crests were digitised in individual images, and average dune migration rates were calculated from the mean migration distance between image pairs, divided by the time between image collection. Water depth and velocity data were collected using a Sontek M9 acoustic Doppler current profiler (aDcp) mounted on a small zodiac boat. The position of the aDcp was recorded using a RTK dGPS system. Data were collected on 12th June 2017 as part of NERC project NE/L00738X/1 Full details about this dataset can be found at https://doi.org/10.5285/864434b7-2102-4edc-802d-ebdbfe9ff766

This dataset contains measurements of herbivory and the potential controls on herbivory for nitrogen-fixing and non-fixing trees in a mature tropical forest of Panama. Data include herbivory measures on 1,626 leaves from 350 seedlings belonging to 43 species, 23 nitrogen-fixing species, 20 non-fixing species. Herbivory metrics are presented at the leaf and seedling level. The data also includes leaf chemical and physical traits hypothesized to influence herbivory at the species level, and seedling-level traits such as stem length and growth rate. Data were collected in 2017 by measuring leaf area missing on seedlings in the BCI 50 ha plot seedling census in order to determine whether fixers have higher rates of herbivory than non-fixers, and what traits govern herbivory. Data were collected by W. Barker, S.J. Wright, L. Comita, B. Sedio and colleagues. Funders of research generating the data include the Natural Environment Research Council, U.S. National Science Foundation, Leverhulme Trust, British Council, Society of Experimental Biology Company of Biologists, University of Leeds Priestly International Centre for Climate and Smithsonian Tropical Research Institute Full details about this dataset can be found at https://doi.org/10.5285/67c95112-edee-435f-9355-9d8bab3a5634

This dataset provides daily estimates of the Snow Water Equivalent (SWE) using data from 46 COSMOS-UK sites across the United Kingdom. One set of estimates is derived from the cosmic ray neutron sensor and provides an estimate of the average SWE within the sensor’s large (>100m) footprint. Other SWE estimates are based on either a snowmelt model, or, for certain sites, either a snow depth sensor or a buried 'SnowFox' neutron sensor. Additionally, daily neutron counts, the albedo, and a collection of figures for each snow event are provided. Full details about this dataset can be found at https://doi.org/10.5285/e1fa6897-0f09-4472-adab-5d0d7bbc2548

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

This dataset contains ~50,000 single nucleotide polymorphisms (SNPs, DNA mutations) for Scots pine (Pinus sylvestris) and closely related members of the Pinus mugo complex, which were selected for inclusion on a 50K SNP Axiom array Full details about this dataset can be found at https://doi.org/10.5285/cbaa464a-ac18-42bf-8518-c746d8d97270

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