71 record(s)


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  • This dataset provides hydro-meteorological timeseries and landscape attributes for 671 catchments across Great Britain. It collates river flows, catchment attributes and catchment boundaries from the UK National River Flow Archive together with a suite of new meteorological timeseries and catchment attributes. Daily timeseries for the time period 1st October 1970 to the 30th September 2015 are provided for a range of hydro-meteorological data (including rainfall, potential evapotranspiration, temperature, radiation, humidity and flow). A comprehensive set of catchment attributes are quantified describing a range of catchment characteristics including topography, climate, hydrology, land cover, soils, hydrogeology, human influences and discharge uncertainty. This dataset is intended for the community as a freely available, easily accessible dataset to use in a wide range of environmental data and modelling analyses. A research paper (Coxon et al, CAMELS-GB: Hydrometeorological time series and landscape attributes for 671 catchments in Great Britain) describing the dataset in detail will be made available in Earth System Science Data ( Full details about this dataset can be found at

  • This dataset contains channel cross-sections for the River Lambourn and Westbrook Channel at the Centre for Ecology & Hydrology (CEH) River Lambourn Observatory at Boxford, Berkshire. The CEH River Lambourn Observatory located in the county of Berkshire, UK (51.445o N 1.384o W) comprises a 600 m reach of the River Lambourn with 10 hectares of associated riparian wetland. The Westbrook Channel divides the wetland into northern and southern meadows. Channel cross-section surveys were conducted using Trimble R8TM dGPS for the Westbrook Channel in May 2013 and the River Lambourn in November 2013. Full details about this dataset can be found at

  • [This dataset is embargoed until July 1, 2020]. Datasets consists of the results of Computational Fluid Dynamics (CFD) flow simulations for a section of the South Saskatchewan River, Canada. The aim of these CFD simulations was to investigate the effect of dunes on the depth-averaged and near-bed flow fields. Modelling was carried out using the open source CFD package OpenFOAM to solve the three-dimensional Navier-Stokes equations. The dataset consists of two files, one with simulation results for a river bed characterised by alluvial bedforms (dunes) and one for a smooth river bed without dunes. This work was part of NERC project NE/L00738X/1. Digital Surface Models (DSMs) were constructed using imagery obtained on four occasions (13th May 2015; 2nd Sept 2016; 8th June 2017; and 12th June 2017). Full details about this dataset can be found at

  • This dataset contains instream dissolved oxygen data collected continuously at one minute intervals for five sites in the Hampshire Avon catchment in the United Kingdom. Data were collected between August 2014 and August 2015 using miniDOT loggers. Full details about this dataset can be found at

  • Gridded potential evapotranspiration over Great Britain for the years 1961-2017 at 1 km resolution. This dataset contains two potential evapotranspiration variables: daily total potential evapotranspiration (PET; kg m-2) for a well-watered grass and daily total potential evapotranspiration with interception correction (PETI; kg m-2). The data are provided in gridded netCDF files. There is one file for each variable for each month of the data set. This data set supersedes the previous version as bugs in the calculation of the variables have been fixed (for all years), temporal coverage of both variables has been extended to include the years 2016-2017 and the netCDF metadata has been updated and improved. Full details about this dataset can be found at

  • These data were collected from a preliminary investigation on the interaction between turbulence and biofilms, using the particle image velocimetry (PIV) technique, which provides spatially- and temporally-resolved velocity vector fields in water for different flow configurations. Seventeen different experiments were conducted with different boundary conditions for each one. The biofilm was developed on a 30-cm-long section permeable bed, the biofilm-covered section was then placed in the water channel test section for flow experiments. Flow rate was regulated by a variable frequency drive controlling the pump speed. Data was recorded at four pump frequencies. Full details about this nonGeographicDataset can be found at

  • The dataset contains stable isotope data from surface and groundwater samples collected in the Gandak Basin, north India. The data was collected between March 2017 and February 2019. These measurements were taken to improve understanding of surface and subsurface water interconnections and movement through river and canal networks and underlying aquifers. The data were collected as part of the NERC sponsored project Coupled Human and Natural Systems Environment (CHANSE), grant number NE/N01670X/1 Full details about this dataset can be found at

  • [This dataset is embargoed until December 1, 2020]. Projections of global changes in water scarcity with the current extent of croplands were combined to identify the potential country level vulnerabilities of cropland land to water scarcity in 2050. The data relate to an analysis of the impact changes in water availability will have on cropland availability in 2050. Full details about this dataset can be found at

  • This is a view service of the CEH 1:50k rivers dataset. This is a river centreline network, based originally on OS 1:50,000 mapping. There are four layer: rivers; canals; surface pipes (man-made channels such as aqueducts and leats) and miscellaneous channels (including estuary and lake centre-lines and some underground channels).

  • This dataset comprises river centrelines, digitised from OS 1:50,000 mapping. It consists of four components: rivers; canals; surface pipes (man-made channels for transporting water such as aqueducts and leats); and miscellaneous channels (including estuary and lake centre-lines and some underground channels). This dataset is a representation of the river network in Great Britain as a set of line segments, i.e. it does not comprise a geometric network.