[THIS DATASET HAS BEEN WITHDRAWN].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

Chemical analysis of stream, river and rainfall samples for lowland rivers in the UK. The data are uncensored and provide a basis for research purposes, and must be viewed in this light. Information on analytical methodologies is available, including detection limits, from which the user can choose how the data might be interpreted. The basins studied were the Tweed, Wear, Humber, Great Ouse and Thames. One tributary (the Teviot) and two main-stem sites were monitored in the Tweed Catchment. One site around two-thirds down the catchment of the River Wear was monitored. Humber Basin Monitoring was undertaken for all the tributaries especially near their downstream limits. The Great Ouse was monitored around half way down the catchment. The Thames catchment was monitored upstream and downstream of sewage inputs to the river, prior and post effluent stripping of phosphorus. This work formed part of a major UK initiative introduced in the early 1990s, the Land Ocean Interaction Study, LOIS, to examine water, chemical and sediment fluxes from the eastern UK rivers to the North Sea. The entire LOIS core monitoring data, including a wider range of determinands, is available from EIDC. As part of this and subsequent work, the initiative was extended to examine a range of catchment basins, from rural to agricultural and industrial/urban impacted ones.

The dataset contains high-resolution flow transects that were obtained from representative sites at six rivers within sub-catchments of contrasting geology (clay, greensand, chalk) of the Hampshire River Avon catchment (UK). Data were obtained from field-based measurements in seasonal campaigns conducted between spring 2013 and winter 2014. Full details about this dataset can be found at https://doi.org/10.5285/16df35a9-90ab-4273-8b6c-5ef3648ec76d

The dataset contains measurements of temperature (°C) and light availability (Lux) in rivers in the Hampshire Avon catchment (UK). Six rivers within sub-catchments of contrasting geology (clay, sand, chalk) were investigated. The stream sites monitored were chosen to reflect a gradient of base flow index. Data were obtained via direct, field-based measurements every 15 minutes from February 2013 to (max) December 2014 with sensors tethered to the bed of the river at each site. Full details about this dataset can be found at https://doi.org/10.5285/9b6a6233-85ad-44f4-ba83-4905b8c48713

The dataset contain meteorological time series encompassing wind dynamics, and air temperature and relative humidity that were collected in the proximity of the streambed of selected riverine sites within the Hampshire Avon catchment (UK). Six rivers within sub-catchments of contrasting geology (clay, greensand, chalk) and associated river morphology were investigated. Data were obtained from field-based measurements in seasonal campaigns conducted between spring 2013 and winter 2014. Full details about this dataset can be found at https://doi.org/10.5285/03acd63b-a540-42af-a305-e323f6f16f91

The dataset contains time series of dissolved oxygen dynamics and near-streambed light availability from selected riverine sites within the Hampshire Avon catchment (UK). Six rivers within sub-catchments of contrasting geology (clay, greensand, chalk) and associated river morphology were investigated. Data were obtained from field-based measurements in seasonal campaigns conducted between spring 2013 and winter 2014. Full details about this dataset can be found at https://doi.org/10.5285/c1f14c54-ffe1-4581-b479-897ff9262e98

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

This dataset contains measurements of hydraulic head and saturated hydraulic conductivity together with porewater chemistry from banks and riverbed sediments in six river reaches of contrasting geology (clay, sand, chalk) in the Hampshire Avon. Falling and rising (slug) test data were used for computation of saturated hydraulic conductivity. Hydraulic head measurements were obtained from pressure transducers installed in piezometers between Summer 2013 and Summer 2015. Samples for porewater chemical analysis were collected from porewater sampling tubes on the piezometer network between Summer 2014 and Summer 2015. Full details about this dataset can be found at https://doi.org/10.5285/d82a04ce-f04d-40b4-9750-1a2bf7dc29a3

Periphyton data consists of diatom scrubs sampled in a range of riffle and pool habitats including diatom taxa counts (identified to genus level) and computed autotrophic index (ratio of the organic mass per cm2 to mass (microgram) of chlorophyll a) as well as site characterisation data. The data were collected from the South Fork McKenzie river, Oregon, USA in September of 2021 and February 2022 following the Holiday Farm wildfire in Autumn 2020. Samples were collected from a restored and unrestored reach of the South Fork McKenzie River with a view to quantifying differences in periphyton response to wildfire in the restored vs. unrestored river reaches. The study was conducted by the University of Nottingham, with data collected by partners from The US Forest Service, Portland State University, Washington State University and Colorado State University. Funding for the work was received from the Natural Environment Research Council. Full details about this dataset can be found at https://doi.org/10.5285/6b7337fa-037b-4c03-a8be-fd4c5722fe1a

[This dataset is embargoed until December 1, 2024]. This dataset contains information about the stable oxygen and hydrogen isotope composition (δ18O, δ2H and d-excess) of waters within the Five Lakes of Mikata catchment. Datapoints span March 2011 – January 2012 and July 2020 – July 2022. Samples include precipitation on an event-basis, weekly river water and weekly lake water. To accompany the precipitation isotope composition data, total precipitation and average temperature during each subsampling period is provided. Water temperature and salinity variations with depth within Lake Suigetsu on six dates across the 2020 – 2022 sampling interval are also given. This data was collected to determine if catchment water composition reflects East Asian Monsoon variability. This work was supported by an Australian Research Council Discovery Project (DP200101768), a JSPS KAKENHI Grant (19K20442) and the NERC IAPETUS2 Doctoral Training Partnership. Full details about this dataset can be found at https://doi.org/10.5285/6c8b8134-a877-41ee-aede-f480c7aaa80d