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inlandWaters

171 record(s)

 

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From 1 - 10 / 171
  • This dataset includes dissolved organic radiocarbon content and dissolved organic carbon concentration data for river waters around the globe. The riverine dataset contains already published (n=1163) and new (n=101) data between the years 1962 – 2015. Soil solution data (n=139) from North American and European natural and semi-natural ecosystems are also included, which cover the period 1988 – 2008. Groundwater data containing 49 data points from boreholes in Europe and North America are also provided. Extra data including sampling dates, locations, stable isotope (13C), water quality and qualitative descriptions of the catchments are included in the dataset. Full details about this dataset can be found at https://doi.org/10.5285/06b219a8-b3ff-4db7-870a-4b1038ff53e2

  • 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 daily mean river flow (m3/s) for 260 catchments, 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: 1975-2005). The catchments correspond to locations of NRFA gauging stations (http://nrfa.ceh.ac.uk/). 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/f6cac471-7d92-4e6d-be8a-9f7887143058

  • 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

  • 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

  • [THIS DATASET HAS BEEN WITHDRAWN]. Stream water chemistry data from the UK Environmental Change Network (ECN) terrestrial sites. Variables measured include pH, conductivity, alkalinity, aluminium, calcium, chloride, ammonium, nitrate nitrogen, phosphate phosphorous, potassium, sulphate sulphur, sodium, total nitrogen and total dissolved phosphorous. The data are collected by dip samples at ECN's terrestrial sites (where there is a stream present) using a standard protocol. They represent continuous weekly records from 1992 to 2012. The sites at which these data are collected are: Cairngorms, Glensaugh, Moor House-Upper Teesdale, North Wyke, Rothamsted, Sourhope, Wytham and Y Wyddfa (Snowdon). ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage. Full details about this dataset can be found at https://doi.org/10.5285/5a715fd9-aefa-40cc-bbb6-56984b6db554

  • 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.

  • 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

  • This dataset is a model output, from the Grid-to-Grid hydrological model driven by observed climate data (CEH-GEAR rainfall and MORECS potential evaporation). It provides daily mean river flow (m3/s) for 260 catchments, for the period 1960 to 2015. The catchments correspond to locations of NRFA gauging stations (http://nrfa.ceh.ac.uk/). 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/10.5285/5f3c1a02-d5c4-4faa-9353-e8b68ce2ace2

  • This dataset is model output from the GR4J lumped catchment hydrology model. It provides 500 model realisations of daily river flow, in cubic metres per second (cumecs, m3/s), for 303 UK catchments for the period between 1891-2015. The modelled catchments are part of the National River Flow Archive (NRFA) (https://nrfa.ceh.ac.uk/) and provide good spatial coverage across the UK. These flow reconstructions were produced as part of the Research Councils UK (RCUK) funded Historic Droughts and IMPETUS projects, to provide consistent modelled daily flow data across the UK from 1891-2015, with estimates of uncertainty. This dataset is an outcome of the Historic Droughts Project (grant number: NE/L01016X/1). The data are provided in two formats to help the user account for uncertainty: (1) a 500-member ensemble of daily river flow time series for each catchment, with their corresponding model parameters and evaluation metric scores of model performance. (2) a single river flow time series (one corresponding to the top run of the 500), with the maximum and minimum daily limits of the 500 ensemble members. Full details about this dataset can be found at https://doi.org/10.5285/f710bed1-e564-47bf-b82c-4c2a2fe2810e

  • 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