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inlandWaters

185 record(s)

 

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From 1 - 10 / 185
  • The dataset contains dissolved greenhouse gas and water chemistry data collected across 12 axial surveys of the Tay estuary, Scotland, starting in April 2009 and ending in July 2011. Ten fixed sampling points on the estuary were surveyed on each boat based campaign. Data were obtained either via direct, field-based measurements, or via subsequent sample processing and analysis in laboratories at UKCEH Edinburgh. Full details about this dataset can be found at https://doi.org/10.5285/ec78b74e-631d-4bef-8c28-618b4dc0fffd

  • This dataset contains diatom species count data from rivers within the Hampshire Avon catchment, UK. Data were collected from five sediment cores at each site, collected in February, April, August and November during 2013. Data were collected as part of the project "The role of lateral exchange in modulating the seaward flux of C, N, P", funded under NERC's Macronutrients Cycles research programme. Full details about this dataset can be found at https://doi.org/10.5285/aec7f752-6be6-4626-bbdb-921bf8d7e3ce

  • 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 measurements of soil temperature and volumetric water content from plots in agricultural grasslands in the Hampshire Avon catchment (UK) from late-2013 to September 2015. Manipulations of soil temperature were made at three orthogonal experiments in three sub-catchments of contrasting geology (chalk, clay and greensand) between May and September 2015. Full details about this dataset can be found at https://doi.org/10.5285/6868abb7-db38-4362-92d5-f5d0140bdfc3

  • Data were collected in 2015, 2016 and 2017 to provide high resolution imagery for two sections of the South Saskatchewan River, Canada. Photographs were acquired using conventional aerial plane images with a 0.06m ground resolution, captured at a height of approximately 1500m from a fixed-wing aeroplane with an UltraCamXp sensor. Imagery was obtained on four occasions (13th May 2015; 2nd Sept 2016; 8th June 2017; and 12th June 2017). The dataset consists of eight orthomosaics; one for each of the two river sections on each of the four dates. Images were collected as part of NERC project NE/L00738X/1. Full details about this dataset can be found at https://doi.org/10.5285/7473d4f9-c9a7-40ad-9f58-e58e25997fc5

  • Data were collected in 2015, 2016 and 2017 to provide information on the distribution of flow depth and depth-averaged flow velocity at cross-sections on the South Saskatchewan River, Canada. Data were obtained using a Sontek M9 acoustic Doppler current profiler (aDcp) mounted onto either a small zodiac boat or a SonTek Hydroboard. Data for each cross-section is recorded in a single file. Individual points within each file represent single locations on the particular cross-section. Data were collected as part of NERC project NE/L00738X/1. Full details about this dataset can be found at https://doi.org/10.5285/e4fe2ebe-b207-47d5-8c77-9873afc63da9

  • Future Flows Hydrology (FF-HydMod-PPE) is an 11-member ensemble projections of river flow and groundwater levels time series for 283 catchments and 24 boreholes in Great Britain. It is derived from Future Flows Climate, an 11-member 1-km bias-corrected and downscaled climate projection products based on the SRES A1B emission scenario. River Flows data are at a daily time step: Groundwater Levels data are at a monthly time step. Future Flows Hydrology span from 1951 to 2098. The development of Future Flows Hydrology was made during the partnership project 'Future Flows and Groundwater Levels' funded by the Environment Agency for England and Wales, Defra, UK Water Research Industry, NERC (Centre for Ecology & Hydrology and British Geological Survey) and Wallingford HydroSolutions. Full details about this dataset can be found at https://doi.org/10.5285/f3723162-4fed-4d9d-92c6-dd17412fa37b

  • This dataset includes radiocarbon (14C) content and d13C for river water samples collected across the UK. Samples were concentrated to four major catchments - the Ribble, Conwy, Hampshire Avon and Scottish Dee. Samples were collected at high flow. The dataset also includes suspended particulate matter concentration and % organic carbon content. Full details about this dataset can be found at https://doi.org/10.5285/4962468f-54c4-49ff-adb8-03e9e88cffdd

  • This is a long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling by the Centre for Ecology & Hydrology (and previously the Institute of Freshwater Ecology) at Derwent Water in Cumbria, England. The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Ammonium (NH4N), nitrate (NO3N), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore, thus water samples were not integrated on these occasions, marked as Flag 2. All data are from August 1990 until the end of 2013. Full details about this dataset can be found at https://doi.org/10.5285/106844ff-7b4c-45c3-8b4c-7cfb4a4b953b

  • This dataset is a model output, from the Grid-to-Grid hydrological model driven by observed climate data (CEH-GEAR rainfall and Oudin temperature-based potential evaporation). It provides monthly mean flow (m3/s) and soil moisture (mm water/m soil) on a 1 km grid for the period 1891 to 2015. 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 (http://www.mariusdroughtproject.org/). Full details about this dataset can be found at https://doi.org/10.5285/f52f012d-9f2e-42cc-b628-9cdea4fa3ba0