Gridded hydrological model river flow estimates on a 1km grid over Great Britain for the period Dec 1980 - Nov 2011. The dataset includes monthly mean river flow, annual maxima of daily mean river flow (water years Oct - Sept) and annual minima of 7-day mean river flow (years spanning Dec-Nov) (units: m3/s). The data are provided in gridded netCDF files. There is one file for each variable. To aid interpretation, two additional spatial datasets are provided: a) digitally-derived catchment areas and b) estimated locations of flow gauging stations both on the 1km x 1km grid. The data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment; https://ukscape.ceh.ac.uk/, Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award. Full details about this dataset can be found at https://doi.org/10.5285/2f835517-253e-4697-b774-ab6ff2c0d3da

This information product contains gridded estimates of Ellenberg vegetation indicator scores for four different indicators: fertility (N); pH/reactivity (R); light availability (L) and moisture (F) at 1km2 resolution. Both cover-weighted (cwt) and non-cover weighted (site) Ellenberg indicators are estimated. Estimates are made for two different time periods, 1990 and 2015-2019 and the change between the two time periods is also presented. 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/10.5285/0a9900f2-8556-4487-bc13-9c2fdc05082c

The dataset includes six files of UK physical river characteristics including five files of gridded data at 1km × 1km resolution and one comma separated table. The data includes: • Drainage directions (D8 flow method), ESRI coding • Drainage directions (D8 flow method), unifhy (python hydrology framework) coding • Catchment areas (km2) • Widths of bankfull rivers (m) • Depths of bankfull rivers (m) • NRFA gauging station locations (easting (m), northing (m)) Two versions of drainage directions are provided, both have the same drainage directions but different numbering systems. The comma separated NRFA (National River Flow Archive) gauging station locations table provides the best locations of 1499 river flow gauging stations on the 1km grids, together with the approximate error in the 1km × 1km gridded delineation of the upstream catchment area. All datasets are provided on the British National Grid. Full details about this dataset can be found at https://doi.org/10.5285/8df65124-68e9-4c68-8659-1c6b82c735e9

[THIS DATASET HAS BEEN WITHDRAWN]. The dataset includes five files of UK physical river characteristics including four files of gridded data at 1km × 1km resolution and one comma separated table. The data includes: • Outflow drainage directions (D8) • Catchment areas (km2) • Widths of bankfull rivers (m) • Depths of bankfull rivers (m) • NRFA gauging station locations (easting (m), northing (m)) The comma separated NRFA (National River Flow Archive) gauging station locations table provides the best locations of 1499 river flow gauging stations on the 1km grids, together with the approximate error in the 1km × 1km gridded delineation of the upstream catchment area. All datasets are provided on the British National Grid. Full details about this dataset can be found at https://doi.org/10.5285/6da95899-f3b8-4089-b621-560818aa78ba

This dataset contains weather conditions, water quality, water chemistry and crustacean zooplankton counts sampled at Loch Leven throughout the year 2021. Loch Leven is a lowland lake in Scotland, United Kingdom. The data were collected as part of a long-term monitoring programme, which began in 1968 and is still underway. Sampling occurs roughly every 2 weeks with laboratory analysis and data processing being performed at the UK Centre for Ecology & Hydrology Edinburgh site. The sampling and processing 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/f5dc095c-e3f6-4d9e-be80-40e35c298142

[This dataset is embargoed until August 31, 2024]. This dataset contains high-resolution (5-minute) raw, atmospheric corrected and mean sea level adjusted water level data for 9 flood storage areas (FSAs) in the Littlestock Brook catchment (a tributary of the River Evenlode, Thames Basin) from 2018 to 2022. The dataset also includes the estimated 9 x FSA stored volume time-series, estimated using a depth-stored volume lookup table for each FSA, produced from a digital elevation model of each feature and a depth-area-volume toolset. The annual barometric pressure time-series used to correct water level is also provided. This dataset was collected by UKCEH as part of a hydrological monitoring programme for the Littlestock Brook Natural Flood Management scheme. This work was supported by the SPITFIRE NERC DTP (NE/L002531/1) and the SCENARIO NERC DTP (NE/L002566/1). Full details about this dataset can be found at https://doi.org/10.5285/cf70f798-442a-4775-963c-b6600023830f

[This dataset is embargoed until January 1, 2024]. This dataset comprises multiple baseline and future ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0. 0.008333° × 0. 0.008333° grid (approximate grid of 1 km × 1 km) across Peninsular Malaysia. Specifically, these are provided for historical (1971 to 2005) and projected future (2006 to 2099) periods, for 3 Representative Concentration Pathways (RCPs). This dataset is the output from the Hydrological Modelling Framework for Malaysia, or “HMF-Malaysia” model. The projected future hydrology simulations are provided for CORDEX-SEA (Coordinated Regional Downscaling Experiment – South East Asia) three RCPs (RCP2.6, RCP4.5 and RCP8.5) assuming (i) current artificial influences (CAI) such as water transfers and diversions and (ii) planned future artificial influences (FAI). This dataset is an output from the hydrological modelling study from the Malaysia - Flood Impacts Across Scales (FIAS) project. Full details about this dataset can be found at https://doi.org/10.5285/9b70bebe-189c-4ae8-9aee-1bb1db7b1ad5

[THIS DATASET HAS BEEN WITHDRAWN]. Gridded hydrological model river flow estimates on a 1km grid over Northern Ireland for the period Dec 1980 - Nov 2080. The dataset includes monthly mean river flow, annual maxima of daily mean river flow (water years Oct - Sept), along with the date of occurrence, and annual minima of 7-day mean river flow (years spanning Dec-Nov), along with the date of occurrence (units: m3/s). The data are provided in gridded netCDF files. There is one file for each variable and ensemble member. To aid interpretation, two additional spatial datasets are provided: a) digitally-derived catchment areas and b) estimated locations of flow gauging stations both on the 1km x 1km grid and c) a 1km x 1km grid identifying majority lake cells. The data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment, Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award. Full details about this dataset can be found at https://doi.org/10.5285/7079d6e8-6184-4f80-89b4-4db924ec8b05

This dataset comprises operational data for a novel decentralised drinking water treatment platform (DWTP) and water quality data for three sampling points within the treatment system. The dataset captures a period of 12 weeks between November 2019 and February 2020. The DWTP was continuously operational throughout this time period with samples from across the system being collected at nine timepoints throughout this three-month period. Operational data from the remote telemetry unit on the DWTP reports flow rate through the system, transmembrane pressure for the ultrafiltration and both the oxidation-reduction potential (ORP) and the free chlorine of the treated water. Data is also provided for a suite of biological, physicochemical, chemical, metals, hydrocarbons and disinfection byproducts. This data was produced from water samples which were sent to an accredited UK laboratory. The data reports for all samples for each of the 3 sampling locations within the treatment system are summarised into .csv files. Information about the location of each sampling point and the level of treatment received at each point can be found in the supporting documentation. Full details about this dataset can be found at https://doi.org/10.5285/98148025-e8ef-40f9-907e-dae8b28106d2

This dataset contains time series observations of land surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at the Wicken Sedge Fen, a conservation managed lowland fen (site code: EF-LN) in the Cambridgeshire Fens, UK. Turbulent flux densities (fluxes) were monitored using the micrometeorological eddy covariance (EC) technique between 2009-03-20 to 2009-12-31, and 2010-04-09 to 2011-01-16. The dataset includes ancillary weather and soil physics observations, as well as variables that characterise atmospheric turbulence. Full details about this dataset can be found at https://doi.org/10.5285/a70ebc3a-4a11-4e7d-bae0-c9808e0cb585