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 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

A data set consisting of seventeen functional traits collected on 43 saplings from a Control and 33 saplings from a long-term drought experiment site in a tropical rainforest in NE Amazonia, Brazil. The experiment was designed to exclude 50% of the incoming rainfall to the soil and was conducted over a 1ha area, alongside the experiment there is a control (non- drought plot) of a corresponding size. The samples were collected in 2017, fifteen years after the start of the experiment on trees with a diameter at breast height (1.3m) of 1-10cm. The purpose of the dataset was to assess if traits relating to plant metabolism (photosynthesis and respiration) and plant hydraulic processes had been significantly altered in trees growing under drought conditions. Full details about this dataset can be found at https://doi.org/10.5285/ca147ac9-ac68-4348-b5f0-dcd483ef3a85

This data set includes counts of soil meso-fauna collected from topsoil within a wide range of land use types across Wales, collected as part of the Glastir Monitoring and Evaluation Programme (GMEP). Meso-fauna include collembola (springtails) and acari (mites). 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/10.5285/1c5cf317-2f03-4fef-b060-9eccbb4d9c21

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 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 data set includes records of plant species and abundance from within a wide range of land use types across Wales, 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/10.5285/71d3619c-4439-4c9e-84dc-3ca873d7f5cc

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 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

Data comprise concentrations of Perfluorinated compounds in the eggs of the marine sentinel species the Northern gannet (Morus bassanus), from colonies in Ailsa Craig in the Irish Sea (eastern Atlantic), and Bass Rock in the North Sea, United Kingdom. The study reports concentrations of eight perfluorinated carboxylic acids (PFCAs) and three perfluorinated sulfonates (PFSs), for 1977-2014. The data is part of the Predatory Bird Monitoring Scheme (PBMS). Full details about this dataset can be found at https://doi.org/10.5285/43487d30-ba23-424e-a2bb-d04dd121875c