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2014

1028 record(s)
 
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From 1 - 10 / 1028
  • This dataset is part of Integrated Hydrological Units (IHU) of the UK, a set of geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection. Hydrometric Areas are either integral river catchments having one or more outlets to the sea or tidal estuary, or they may include several contiguous river catchments having topographical similarity but separate tidal outlets. Hydrometric Areas are the coarsest units of the IHU in terms of spatial resolution. This dataset represents the same entities as the Hydrometric Areas with Coastline. The coastline of Hydrometric Areas without Coastline follows the boundaries of the CEH Integrated Hydrological Digital Terrain Model, from which IHU were derived, while the coastline used in Hydrometric Areas with Coastline was derived from Ordnance Survey data. The Hydrometric Areas without Coastline currently covers Great Britain only as no dataset with river geometries and names with suitable detail is available for Northern Ireland. Full details about this dataset can be found at https://doi.org/10.5285/3a4e94fc-4c68-47eb-a217-adee2a6b02b3

  • This dataset was generated from a laboratory experiment investigating the toxicity of Zinc oxide nanoparticles and non-nanoparticles to the earthworm Eisenia andrei. The experiment followed the OECD protocol 222 OECD guideline for testing of chemicals Earthworm reproduction test (Eisenia fetida/andrei) 2004. Earthworms, Eisenia andrei, were exposed to Zinc oxide particles and nanoparticles, as well as an ionic reference, Zinc chloride, in soil for 28 days after which survival, reproduction and weight change were measured to assess the toxicity of the different zinc compounds. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/47644e3d-3abf-4fa2-9b82-991031f18b0b

  • This dataset is part of Integrated Hydrological Units (IHU) of the UK, a set of geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection. A Section is the drainage area of a watercourse between two confluences. Only confluences of named watercourses were considered. Each Section carries a name constructed from names of the major river flowing through the Section, the major river flowing into the Section, and the major river into which the Section flows. Sections are spatially consistent with Groups: each Group is made up of one or more Section. Each Section is associated with one Catchment representing the full area upstream from the Section outlet. Identifiers and attributes have been calculated so that direct upstream and direct downstream IHU units can be selected. This layer currently covers Great Britain only as no dataset with river geometries and names with suitable detail is available for Northern Ireland. Full details about this dataset can be found at https://doi.org/10.5285/a6e37e39-9e10-4647-a110-12d902403095

  • The dataset contains results from surveys recording the cover and area of aquatic macrophytes at four transects on the River Lambourn, collected monthly between March 11 2009 and September 30 2014. The River Lambourn is a tributary of the River Thames, the principal river in the south-east of England. The CEH River Lambourn Observatory comprises a 600 m reach of river and 24 acres of associated water meadows at Boxford, Berkshire. The surveys were designed to provide an estimate of the area and cover of the three most common aquatic macrophytes and an estimate of the area of the wetted channel at four transects. The species recorded were Ranunculus penicillatus ssp. pseudofluitans (with Ranunculus penicillatus ssp. pseudofluitans x Ranunculus peltatus hybrid also present), Callitriche platycarpa (with some Callitriche obtusanglia) and Berula erecta. The four transects were selected in order to represent a combination of shallow/fast flowing areas and deeper/slower flowing areas, as well as shaded and unshaded reaches. Full details about this dataset can be found at https://doi.org/10.5285/37f0ab37-78f1-4ca6-b51f-950e43977b16

  • This dataset contains the codes for water laboratory analysis, water sample identification, sampling dates and locations for water samples collected from the Tamar catchment in winter 2013/2014 as part of the South West project. It should be used in conjunction with datasets describing water bacteria and water eukaryote operational taxonomic unit sequence data. Full details about this dataset can be found at https://doi.org/10.5285/d36fb15b-6cfb-4488-b6b7-2b62dcf00b46

  • [THIS DATASET HAS BEEN WITHDRAWN]. 1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland (together with approximately 3000 km2 of catchment in the Republic of Ireland) from 1890 to 2012. The rainfall estimates are derived from the Met Office national database of observed precipitation. To derive the estimates, monthly and daily (when complete month available) precipitation totals from the UK rain gauge network are used. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall, was used to generate the daily and monthly estimates. The estimated rainfall on a given day refers to the rainfall amount precipitated in 24 hours between 9am on that day until 9am on the following day. The CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012. Full details about this dataset can be found at https://doi.org/10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e

  • Data on the carbon and nitrogen cycling in soils from different geologies within the Hampshire Avon catchment, UK. The dataset also includes functional gene data, anion and cation concentrations, methane production and oxidation potential, and nitrification, denitrification and mineralization rates. Data were collected between February 2013 and November 2014. Data were collected to address the hypotheses of how the functional microbial community involved in carbon and nitrogen cycling changed seasonally and with geology. 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/10.5285/83f83414-f644-4684-ad5b-e1237fb12fc5

  • The dataset contains daytime and nighttime averages of oxygen production and consumption rates from representative sites at six rivers within sub-catchments of contrasting geology (clay, greensand, chalk) of the Hampshire River Avon catchment (UK). Rates were obtained for the benthic compartment using the non-invasive Aquatic Eddy Co-variance (AEC) and in the water column with sample incubations during seasonal field campaigns conducted between spring 2013 and winter 2014. Full details about this dataset can be found at https://doi.org/10.5285/849d72e0-a940-48e3-913c-8e7f781131d3

  • Data comprise bulk density, loss on ignition, carbon content of peat, nitrogen content of peat, total phosphorus content of peat, soil 13 carbon content and soil 14 carbon content from samples collected during a peat survey in England, Scotland and Wales during 2014. The study was funded by the UK Natural Environment Research Council under the Macronutrient Cycling Research Programme, as part of the Long-Term, Large-Scale (LTLS) project (Grant no. NE/J011533/1). Full details about this dataset can be found at https://doi.org/10.5285/9305b068-f417-4659-9966-d9456f22c331

  • This poster on the UKCCSRC Call 2 project Multiscale Characterisation of CO2 Storage in the United Kingdom was presented at the CSLF Call project poster reception, London, 27.06.16. Grant number: UKCCSRC-C2-197. We combine pore scale digital rock physics, reservoir condition special core analysis, and reservoir simulation to evaluate the performance of CO2 storage for the major target storage regions of the UK. Key objectives: • Develop a dataset of relative permeability and residual trapping for major storage targets in the UK (Fig. 1), obtained experimentally at reservoir conditions • Identify the contribution of pore scale rock morphology to multiphase flow dynamics and dissolution trapping • Use the data in reservoir simulations to update dynamic capacity estimation for UK reservoirs