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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 breakthrough curves of conservative (fluorescein) and reactive (resazurin and resorufin) tracers resulting from instantaneous tracer experiments in a lowland agricultural stream. Breakthrough curves were measured seasonally at four locations within the stream, creating three experimental reaches, in the Wood Brook, Staffordshire from July 2016 to March 2017. Breakthrough curves were measured in-situ using on-line fluorometers configured to measure the excitation of fluorescein, resazurin and resorufin every 10 seconds. The breakthrough curves were measured to determine hydrological metrics of advective transport, transient storage and aerobic respiration. The work was funded by the Natural Environment Research Council, UK through a through a Central England NERC Training Alliance Studentship and grant NE/ L004437/1, with additional funding provided by the European Union through the H2020-MSCA-RISE-2016 project 734317. Full details about this dataset can be found at

  • This is a web map service of the UKCEH digital river network of Great Britain (1:50,000). It is a river centreline network, based originally on OS 1:50,000 mapping. There are four layers: 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 contains maximum water depth and maximum water velocity for 12 different Glacial Lake outburst floods (GLOFs) scenarios of the Tsho Rolpa Lake, Nepal. Also included is the water depth of dam breach flow and discharge of dam breach flow under each scenario. The GLOFs scenarios were created using a simple dam breach model. A high-performance hydrodynamic model was then used to simulate the resulting flood hydrodynamics. Full details about this dataset can be found at

  • 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.

  • 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 comprises seven ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0.1° × 0.1° grid (approximate grid of 10 km × 10 km) across West Africa for historical (1950 to 2014) and projected future (2015 to 2100) periods. This dataset is the output from the Hydrological Modelling Framework for West Africa, or “HMF-WA” model. The ensembles correspond to CMIP6 (Coupled Model Inter-comparison Project Phase 6) historical and three projected future climate scenarios (SSP126, SSP245 and SSP585) with two future scenarios of water use. The scenarios of water use are (i) future water use that varies in line with projected population increases, and (ii) future water use is the same as present day. This dataset is an output from the regional scale hydrological modelling study from African Monsoon Multidisciplinary Analysis-2050 (AMMA-2050) project. Full details about this dataset can be found at

  • The dataset provides raster gridded estimates of open water and inundated vegetation for the Barotseland Region in Western Zambia. There are a total of 55 images covering the period 2016-2019 at a spatial resolution of 10m. The images were generated using an automatic classification routine applied to Sentinel-1 radar imagery, with classification refinements made using ancillary datasets such as the Global Urban Footprint, and the Height Above Nearest Drainage terrain derivative generated using SRTM digital elevation data. These data are valuable for a range of applications including public health and water resources. Full details about this dataset can be found at

  • The data set consists of digital bathymetric contours taken from the International Bathymetric Chart of the Mediterranean (IBCM) chart series. Most of the IBCM sheets depict contours at depths at 0m (coastline), 20m, 50m, 100m, and 200m, and at 200m intervals thereafter, although the actual contours displayed vary slightly from sheet to sheet. The data set is included in the GEBCO Digital Atlas (GDA). Through the GDA software interface the IBCM bathymetric contours can be exported in ASCII or shapefile format. The 10 sheets of the IBCM chart series are on a Mercator Projection at a scale of 1:1 million (at 38 N). The Black Sea is included at a scale of 1:2 million. The IBCM (1st Edition) chart series was published by the Head Department of Navigation and Oceanography of the USSR Ministry of Defence, St. Petersburg, under the auspices of the Intergovernmental Oceanographic Commission (IOC) of UNESCO 1981. The bathymetric contours and coastlines from the IBCM sheets were digitised. Error checking and quality control work on the data set was carried out at BODC. The digital data set was first made available in 1988.

  • The General Bathymetric Chart of the Oceans (GEBCO) One Minute Grid is a global terrain model for land and sea at one arc-minute intervals. The grid is largely based on the bathymetric contours contained in the Centenary Edition of the GEBCO Digital Atlas, existing grids are used in some areas. The land areas are based on the Global Land One-km Base Elevation (GLOBE) Project data set. The grid was originally released in 2003 and updated in 2008 to include data from the International Bathymetric Chart of the Arctic Ocean (IBCAO), for the region north of 64N and also updates for shallower water regions off India, the Korean Peninsula and around South Afriaca, using data extracted from Electronic Navigation Charts (ENCs). The grid is available to download, in netCDF format, for free from the internet. Free software is available for viewing and accessing data from the grid in netCDF and ASCII. This includes an option to export the grid in an ASCII form suitable for conversion to an ESRI raster. The grid is also included in the GEBCO Digital Atlas DVD. It is not intended to make any further updates to this data set. In 2009, GEBCO released a new bathymetric grid, the GEBCO_08 Grid. This is a global terrain model at 30 arc-second intervals. It is largely based on a database of ship-track soundings with interpolation between soundings guided by satellite derived-gravity data.