This dataset contains discharge and surface water chemistry for the six river reaches of contrasting geology (clay, sand, chalk) in the Hampshire Avon. Manual measurements of discharge by the velocity-area method enabled construction of a stage-discharge relationship for each site. Stream stage was measured using pressure transducers from Summer 2013 to Summer 2015. River water samples were collected at 48-hr intervals from Summer 2013 to Summer 2014 and samples were analysed for selected solutes and suspended sediment. Full details about this dataset can be found at https://doi.org/10.5285/0dd10858-7b96-41f1-8db5-e7b4c4168af5

This dataset contains prey items of common guillemot (Uria aalge) and razorbill (Alca torda) observed during the 2019 breeding season at East Caithness Special Protection Area (SPA), Buchan Ness to Collieston Coast SPA and Isle of May National Nature Reserve, off the east coast of Scotland. The diet of these two species has been studied on the Isle of May since the 1980s. To our knowledge, the only previous studies of diet were undertaken at Buchan Ness to Collieston Coast SPA (in 2006, 6km to the north of the site used in this study; and in 2017 & 2018, using a similar protocol as in 2019), and previous studies of diet have been undertaken at East Caithness SPA (2017 & 2018). Full details about this dataset can be found at https://doi.org/10.5285/3d90a2b0-9a9e-4e39-8986-9082d1ec529e

This dataset is a model output, from the Grid-to-Grid hydrological model driven by weather@home2 climate model data. It provides a 100-member ensemble of monthly mean flow (m3/s) and soil moisture (mm water/m soil) on a 1 km grid for the following time periods: historical baseline (HISTBS: 1900-2006), near-future (NF: 2020-2049) and far-future (FF: 2070-2099). It also includes a baseline period (BS: 1975-2004). To aid interpretation, two additional spatial datasets are provided: - Digitally-derived catchment areas on a 1km x 1km grid - Estimated locations of flow gauging stations on a 1km x 1km grid and as a csv file. The data were produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity), which was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity. Full details about this dataset can be found at https://doi.org/10.5285/3b90962e-6fc8-4251-853e-b9683e37f790

Standardised Precipitation Index (SPI) data for Integrated Hydrological Units (IHU) groups (Kral et al. [1]). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. [2]. SPI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the gamma distribution is 1961-2010. The dataset covers the period from 1961 to 2012. [1] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Groups. NERC-Environmental Information Data Centre doi:10.5285/f1cd5e33-2633-4304-bbc2-b8d34711d902 [2] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California. Full details about this dataset can be found at https://doi.org/10.5285/dfd59438-2170-4472-b810-bab33a83d09f

This dataset provides a 1km resolution raster (gridded) coverage of wooded areas in riparian zones (river- or streamsides) across Great Britain. The areas classified as riparian in this dataset are defined by a 50 metre buffer applied to the CEH 1:50000 watercourse network. Wooded areas within this zone are identified as those classified by the Land Cover Map of Great Britain 2007 as either coniferous or deciduous woodland. The data are aggregated to a 1km resolution. Full details about this dataset can be found at https://doi.org/10.5285/ec3ed342-5dc3-448f-baaa-c3b77bff1065

Data are presented for soil state and environmental parameters of soil samples collected from paired intensive and extensive grassland systems, including low and high pH parent soils, from 32 sites across the United Kingdom. The samples were collected during winter and spring 2015-2016 by project staff experienced in soil core collection. Samples were subdivided for subsequent analysis of total Nitrogen, total Carbon, total organic Carbon, total Phosphorus, soil pH, soil moisture, loss on ignition, sand, silt, clay texture, Fourier-transform infrared spectroscopy (FT-IR) spectra and bulk density. The data were collected to help understand soil functional change in a variety of management and climatic scenarios as part of NERC U-GRASS (Understanding and enhancing soil ecosystem services and resilience in UK grass and croplands) award (NERC Reference NE/M017125/1) part of the NERC Soil Security Programme. Full details about this dataset can be found at https://doi.org/10.5285/2a817dbf-097f-45b4-85bd-745f4e78e656

Future Flows Climate (FF-HadRM3-PPE) is an 11-member ensemble climate projection for Great Britain at a 1-km resolution spanning from 1950 to 2098. It was specifically developed for hydrological application and contain daily time series of Available Precipitation, which is the precipiated water available to hydrological processes after delays due to snow and ice storage are accounted for; and monthly reference Potential Evapotranspiration calculated using the FAO56 method. Future Flows Climate is derived from the Hadley Centre's Regional climate projection ensemble HadRM3-PPE based on 11 different variants of the regional climate model run under the SRES A1B emission scenario. HadRM3-PPE is underpinning the UKCP09 products. Bias correction and spatial downscaling were applied to the total precpitation and air temperature variables before Future Flows Climate APr and PE were generated. The development of Future Flows Climate was made during the partnership project 'Future Flows and Groundwater Levels' funded by the Environment Agency for England and Wales, Defra, UK Water Research Industry, NERC (Centre for Ecology & Hydrology and British Geological Survey) and Wallingford HydroSolutions. Full details about this dataset can be found at https://doi.org/10.5285/bad1514f-119e-44a4-8e1e-442735bb9797

This dataset is an inventory of reservoir details for the UK. It provides information, including reservoir location, type (impounding or non-impounding), use (water resources, hydro-electric, ecological, flood storage, canal), capacity, planning date, construction date, catchment National River Flow Archive (NRFA) gauge references and membership of a reservoir group, based on current usage within the CEH Monthly Hydrological Summary (https://nrfa.ceh.ac.uk/monthly-hydrological-summary-uk). The dataset comprises 273 individual reservoirs, which amount to approximately 90% of total UK reservoir storage. Data quality has been recorded, using a data flag system and a notes section, with references relevant to each reservoir provided. Full details about this dataset can be found at https://doi.org/10.5285/f5a7d56c-cea0-4f00-b159-c3788a3b2b38

This dataset contains measurements of hydraulic head and saturated hydraulic conductivity together with porewater chemistry from banks and riverbed sediments in six river reaches of contrasting geology (clay, sand, chalk) in the Hampshire Avon. Falling and rising (slug) test data were used for computation of saturated hydraulic conductivity. Hydraulic head measurements were obtained from pressure transducers installed in piezometers between Summer 2013 and Summer 2015. Samples for porewater chemical analysis were collected from porewater sampling tubes on the piezometer network between Summer 2014 and Summer 2015. Full details about this dataset can be found at https://doi.org/10.5285/d82a04ce-f04d-40b4-9750-1a2bf7dc29a3

The Environmental Zones are aggregations of ITE Land Classes; these classes are derived from repeatable multivariate analysis of environmental data collected for each 1 km square in the country. Thus the classes, and hence the zones, are determined by combinations of environmental characteristics, not by just one or two. This means that the naming of classes (and zones) is not straightforward and cannot be achieved by reference to single parameters such as altitude. The approach taken with the ITE Land Classes is to give each a numeric identifier, rather than a text name, and to supplement these Land Class numbers with a brief description of the class.