This dataset contains daily measurements of river flow velocity (m/s), river discharge (m3/s), river depth (cm), and river width (m) from the Portoviejo River, Ecuador, from years 2021 and 2022. This dataset was generated as part of the NERC funded project 'Reducing the impacts of plastic waste in the Eastern Pacific Ocean', which aims to “reduce plastic leakage in the Eastern Pacific region, supporting development of a sustainable, circular plastics resource flow and reducing the impacts of plastic pollution on livelihoods and wildlife”. This data was collected to monitor the river hydrological conditions alongside collections of anthropogenic litter using the Azure System developed by Ichthion Limited (https://ichthion.com/tecnologia/). Full details about this dataset can be found at https://doi.org/10.5285/6d2ad65f-1a8f-4819-892b-1b4de8d0d7c2

This is a dataset of spot gauged river flows (m3 s-1) at multiple sites along the River Frome, Dorset, UK, conducted during the year 2022. All sites are contained within the stretch of river between the Environment Agency gauging stations located at Dorchester and East Stoke, i.e. the lower part of the River Frome. The monitoring sites included the major tributaries along this river reach, which are: the South Winterbourne, Tadnoll Brook, and the River Win. In total, 19 river channels were spot gauged at 11 river cross-sectional locations. Due to the braided nature of the river, some locations required multiple channels to be measured to produce a total cross-sectional flow for that part of the river. The river cross-sectional locations were evenly spaced, approximately every 3 km along the river reach. Measurements were taken on multiple flow accretion survey days between 12/04/2022 and 05/11/2022. On each day, as many of the sites were spot gauged as possible, working upstream to downstream. Full details about this dataset can be found at https://doi.org/10.5285/0d5c7e45-2c43-4276-af0d-8d941db2e124

This dataset contains high-frequency water quality measurements taken at multiple sites in the River Frome catchment area, Dorset, UK. Water quality data consists of a mixture of 30-min sensor readings and frequent grab samples. Also included are high-frequency discharge readings at Environment Agency (EA) managed flow gauging stations and at sewage treatment work (STW) effluents. These measurements were taken between 12/08/2022 and 14/09/2022 inclusive. Measurements were recorded at multiple river sites, boreholes, and STW effluents. All sites are contained within the catchment area between the Environment Agency gauging stations located at Dorchester and East Stoke i.e., the lower part of the River Frome. In total, 24 monitoring sites exist. The data were collected for PhD project “Supporting river water-quality management by high-resolution modelling: a case study in a lowland permeable chalk catchment” awarded to Thomas Homan and funded under GW4 FRESH CDT, supported by the Natural Environment Research Council (Grant NE/R0115241). Water quality data were collected by Thomas Homan (PhD candidate at the University of Bath). Wessex Water Ltd. provided high frequency measurements of ammonium and discharge at their STW sites, borehole water quality measurements, as well as high-frequency nitrate measurements at sites: Louds Mill and East Stoke. The Environment Agency discharge data were provided under the terms of the Open Government Licence. Full details about this dataset can be found at https://doi.org/10.5285/ccaf2871-1a1a-4cb4-aadf-883fb984a90f

Simulated 15-min discharge time-series (1/10/2015-17/1/2016) for the River Kent at Sedgwick following a Natural Flood Management intervention of ‘Enhanced Hillslope Storage’ plus the baseline simulations are presented. To derive these data, the observed 15-minute discharge River Kent measured at the Environment Agency (EA) Sedgwick gauging station (https://nrfa.ceh.ac.uk/data/station/info/73005) through the 1 Oct 2015 to 17 Jan 2016 period were modelled using the latest version of Lancaster University’s Dynamic TOPMODEL (https://cran.r-project.org/web//packages/dynatop/index.html). The spatially distributed rainfall field used as input to TOPMODEL was derived from a new direction-dependent and topographically controlled interpolation using observed rainfall data for the Cumbrian Mountains (Page et al., 2022. Hydrological Processes 36: e14758, https://doi.org/10.1002/hyp.14758). Lack of perfect understanding of the hydrological processes routing rainfall for stream channels and then along stream channels to the Sedgwick gauge was represented by using a very wide range of model parameters applied randomly within 10,000 simulations. Using the approach detailed in Beven et al. (2022a. Hydrological Processes 36(10): e14703, https://doi.org/10.1002/hyp.14703), the resultant wide range of simulated discharge time-series was reduced by rejecting all but 67 simulations that passed the prescribed criteria. These 67 baseline simulations of observed behaviour through the +3 month period at Sedgwick are presented here. To represent the effect of adding surface storage distributed across this 209 sq km River Kent catchment, the Digital Elevation Model (DEM) used in the baseline simulations according to Hankin et al (2018. Technical report SC150005/R6. Environment Agency, Bristol. 77pp, https://www.gov.uk/flood-and-coastal-erosion-risk-management-research-reports/working-with-natural-processes-to-reduce-flood-risk) to represent bunds placed on hillslopes in rural areas. The bunds are a type of flood mitigation measure known as Natural Flood Management or NFM. These are known formally as ‘Enhanced Hillslope Storage’ or EHS features (Beven et al 2022b. Hydrological Processes 36: e14752, https://doi.org/10.1002/hyp.14752). The TOPMODEL parameter sets producing the 67 ‘acceptable’ baseline simulations were then re-run with the modified DEM. These results are also presented here. Full details about this dataset can be found at https://doi.org/10.5285/af081a90-b014-43f7-9399-c948a8b7672f