HYREX (Hydrological Radar Experiment) was a NERC (Natural Environment Research Council) special topic running from May 1993 to April 1997. Field experiments with an emphasis on radar, plus related interpretation and modelling, were carried out to investigate the short term forecasting and hydrological implications of precipitation. A special purpose-built dense rainguage network was established in Somerset as part of the project. Rainguage, radar and related meteorological data plus forecast data from the Met Office Unified Model are available through BADC.

This dataset contains information about the background hydrochemistry and nutrient biogeochemistry of water samples collected from networks of interconnected rivers and lakes. Each water sample was analysed for the concentration of multiple fractions of nitrogen and phosphorus, and for the stable oxygen and nitrogen isotope composition of nitrate. Water samples were collected across the period 2017-2018 from multiple river-lake networks in the English Lake District and the Norfolk Broads. This research was supported by the Natural Environment Research Council (Grant NE/N006453/1: Hydroscape – Connectivity x Stressor Interactions) Full details about this dataset can be found at https://doi.org/10.5285/0d6de9b6-1f80-4f78-b65a-503db8ba63cf

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

Seasonal average water temperatures for some UK rivers, 1984 to 2007- data are derived from other CEH projects and collated here. The rivers are Afon Gwy, Allt a Mharcaidh, Allt na Coire nan Con, Bere Stream, Bovington Stream, Dargall Lane, Devils Book, Frome, Great Ouse, Hafren, Hooke, Hore, Lambourn, Nant y Gronwen, Narrator Brook, Old Lodge, Pang, Piddle, River Etherow, Sydling Water and Tadnoll. Full details about this dataset can be found at https://doi.org/10.5285/65400133-9cfb-4cf4-bffd-97f1c3752025

This data set comprises water quality data from five tributaries of the River Thames, UK. Sampling sites at each river were from both upstream and downstream of sewage effluent point sources. Parameters measured were phosphorus and nitrogen species, dissolved organic carbon and major dissolved anions (fluoride, chloride, sulphate). This work was carried out as a part of the NERC project: “The environmental REsistome: confluence of Human and Animal Biota in antibiotic resistance spread (REHAB)” (Project reference NE/N019660/1). Full details about this dataset can be found at https://doi.org/10.5285/80710d5e-06cf-4757-93c5-87fcbe421352

This dataset includes weekly data from monitoring of stream, rainfall and groundwater hydrochemistry in the Vyrnwy research catchment between 1994 and 2001. Data for over 50 chemical determinands are presented alongside data for some in-situ measurements such as water temperature. Full descriptions of the analytical methods used for each determinand is included. Intensive and long-term monitoring within the catchments underpins a wealth of hydrological and hydro-chemical research; other linked datasets include river flow, meteorology and a variety of detailed spatial datasets representing the topography, soils and rivers of the catchments. Monitoring is funded by the Centre for Ecology & Hydrology. Full details about this dataset can be found at https://doi.org/10.5285/68f4a12f-740d-4705-9c27-6a7fb7127046

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

This dataset contains the concentration of eleven antibiotics (trimethoprim, oxytetracycline, ciprofloxacin, azithromycin, cefotaxime, doxycycline, sulfamethoxazole, erythromycin, clarithromycin, ofloxacin, norfloxacin), three decongestants (naphazoline, oxymetazoline, xylometazoline) and the antiviral drug oseltamivir's active metabolite, oseltamivir carboxylate, measured at 21 locations within the River Thames catchment in England. The measurements were taken weekly during November 2009, once in March 2010 and once in May 2011, with the aim to quantify pharmaceutical usage during the influenza pandemic of 2009 and how this compares to inter-pandemic drug use. River samples were acquired by grab samples in glass jars and analysed by liquid chromatography tandem mass spectrometry (LC MS). Two wastewater treatment plants (WWTPs) in southern England (Benson and Oxford) were also sampled during the peak of the second wave of the 2009 influenza A[H1N1]pdm09 pandemic (10-11 November 2009) and on 15 May 2011 using an automated sampler set to acquired hourly (time proportional) samples from the influent and effluent of the WWTPs. The WWTPs are the source for all the drugs found in the river, hence, these were studied to understand the differential fate of the analytes in the two very different WWTPs. Flows for the WWTP and River sampling locations are presented for each of the sampling times to allow for determining hourly loads for the WWTP and daily loads for the river. Full details about this dataset can be found at https://doi.org/10.5285/8af983e4-e97d-4c07-a34d-753243fa283b

This dataset contains information about predicted future erosion hazards to electricity transmission towers at a site in the Mersey River valley. River channel change and floodplain erosion rates were simulated under 6 hypothetical flow scenarios, covering the years 2018 to 2050. These scenarios include: “baseline” where we assumed the 32 years of flow from 2018 to 2050 matched the preceding 32-year period; and “plus 10, 20, 30, 40 & 50%” where we assumed daily averaged flow magnitudes increased by 10, 20, 30, 40 or 50%, depending on the scenario. Simulations were run using the CAESAR-Lisflood landscape evolution model. Input files that were used to drive the simulations include a 15-metre resolution DEM covering a ~4.5 km long reach of river valley, and daily-averaged flow inputs (m3 s-1). Landscape changes over time were extracted at the locations of each electricity transmission tower, with the severity of erosion used to judge the relative risks of each tower from future climate change. The work was supported by the Natural Environment Research Council (Grant NE/S01697X/1) as part of the project: ‘Erosion Hazards in River Catchments: Making Critical Infrastructure More Climate Resilient’. Full details about this dataset can be found at https://doi.org/10.5285/78bc21a9-39e0-4efc-992c-5587439fe6be

This dataset contains riverine hydrochemical data generated at monthly intervals between 2010 and 2016 from 20 sites across the River Wensum catchment, UK. Data were obtained via manual grab sampling of river water from each of the 20 locations across the catchment, followed by subsequent laboratory analysis to determine concentrations of nutrients, carbon, major ions and suspended solids. Full details about this dataset can be found at https://doi.org/10.5285/71ddb087-59e6-432a-8d3e-72cbce251ee9