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2014

1020 record(s)
 
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From 1 - 10 / 1020
  • Skin Sea Surface Temperature data from the (A)ATSR Validation Campaign by SISTeR. The prime objective of the (A)ATSR mission is to return accurate measurements of the global sea surface temperature. To ensure the accuracy of the measurement, there have been joint efforts to validate the data. One of these efforts is the (A)ATSR Validation Campaign which involves the deployment of the Scanning Infrared Sea surface Temperature Radiometer (SISTeR). The SISTeR is a self-calibrating radiometer that measures the skin sea surface temperature. The SISTeR was mounted on MS Color Festival and MS Prinsesse Ragnhild to return skin sea surface temperature in the North Sea in 2006, and was on-board RMS Queen Mary 2 collecting data from the Atlantic Ocean, Indian Ocean and Western Pacific between 2010 and 2014. Data was collected continuously throughout the cruises unless severe weather conditions required the instrument to be protected, which results in the prevention of the data collection.

  • The data consists of, standing aboveground biomass, and belowground biomass measurements, from sites in the Conwy catchment. Standing aboveground biomass was measured at 7 sites and belowground biomass measurements were made at 8 sites. Data were collected in 2013 and 2014. The sites were chosen to represent habitat types and the terrestrial productivity gradient in Britain from intensive agriculturally managed lowland grasslands through to montane heath. Standing aboveground biomass (grams of dry mass per metre square) in habitats dominated by herbaceous biomass was measured on 1x1 metre quadrats in four plots per site. Standing aboveground biomass in woodlands was measured in two 200 square metre areas by means of stem cores and litter collections. Belowground total root biomass (grams of dry mass per square metre) was assessed for the topsoil 0-15 centimetres in three plots per site. Measurements were undertaken by trained members of staff from Bangor University and the Centre for Ecology & Hydrology. This data was collected for the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (NE/J011991/1). The project is also referred to as Turf2Surf. Full details about this dataset can be found at https://doi.org/10.5285/46bb0117-ed5d-4167-a375-d84d1237cf21

  • The dataset contains measurements of the annual average abundance, biomass and elemental composition (C, N, P) of consumers (fish and invertebrates) in six rivers within sub-catchments of the Hampshire Avon of contrasting geology (clay, sand, chalk). Full details about this dataset can be found at https://doi.org/10.5285/6e9a9a6e-1b42-46db-973b-06c1db2961c0

  • Data comprise water chemistry measurements (major alkali and alkali-earth element water concentrations and trace element concentrations) recorded over two years at seven lakes in Belarus and Ukraine at distances from 1.5 to 225 km of the Chernobyl Nuclear Power Plant (CNPP). The lakes include Glubokoye, Yanovsky lakes and Cooling Pond (high (H) contaminated lakes), Svyatoye Lake (medium (M) contaminated lake) and Stoyacheye, Dvoriche and Gorova lakes (low (L) contaminated lakes). Full details about this dataset can be found at https://doi.org/10.5285/b29d8ab8-9aa7-4f63-a03d-4ed176c32bf3

  • Data comprise bracken biomass, soil and bracken chemistry (for example mass, bulk density, pH, carbon, nitrogen and the concentration of a range of other elements) precipitation, percentage ground cover of plant species and site information. Samples were collected between 21st July and 6th August 2014 at 49 plots in the English lake district and Snowdonia in Wales. Plots were located in stands with minimum 80% bracken cover and which had not been trampled by grazing animals. 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), and by the University of Liverpool (Grant no. NE/J011630/1). Full details about this dataset can be found at https://doi.org/10.5285/5b89d8f3-86f0-431c-844f-eda5ddae9042

  • 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 ecosystem function and vegetation survey data from soils collected from Salisbury Plain, UK. The sites were selected to reflect the four main grassland management types on Salisbury Plain ranging from arable cropland to species rich grassland, with six representative grassland plots for each type (24 sites in total). Each site had four replicates for each variable measured. The data collected was intended to illustrate a gradient of ecosystem functioning and vegetation change as the grassland becomes more extensively managed. The field sampling was conducted by the University of Manchester and the Centre for Ecology & Hydrology at Wallingford. Soils were extracted for nutrients and analysed by the University of Manchester. The data includes vegetation surveys, where the cover of each plant species present was assessed, and diversity indices were calculated. Furthermore, greenhouse gas fluxes were measured in situ, and soil nutrients and microbial biomass were also determined. Full details about this dataset can be found at https://doi.org/10.5285/0e0a89e1-21f9-413e-8d7e-764b0b714dd6

  • 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

  • Data on the carbon and nitrogen cycling in sediments from rivers within the Hampshire Avon catchment, UK. The dataset includes functional gene data, anion and cation concentrations, methane production and oxidation potential, carbohydrates concentrations, pigment data, and particle size data. 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/10.5285/976602b3-a58d-460c-a52d-088d0bb09989

  • Estimates of in-river concentrations (mg/l) and loads (kg/day) of nutrients to rivers in England and Wales from multiple sector sources, modelled with SAGIS (Source Apportionment GIS). The nutrients include nitrate (mg/l N) and ortho-phosphate (mg/l P); the estimate loads are expressed as kilograms per day (kg/day) and the in-river concentrations as milligrams per litre (mg/l). Sources are both diffuse and point. Diffuse sources include livestock farming, arable farming, highways, urban runoff, background (from soils), onsite wastewater treatment systems and atmospheric deposition. Point sources include treated wastewater effluent, combined sewer overflows and storm tanks, industrial discharges and mine water discharges. Concentrations and loads are modelled using the Environment Agency's catchment river model, SIMCAT, at the locations of model features or every 1 km along each river, taking into account all upstream sources and user defined river losses. SAGIS is a modelling framework was developed through the UK Water Industry Research Programme (UKWIR) project 'Chemical Source Apportionment under the WFD' [1], with support from the Environment Agency and SEPA. The model is also described in [2] [1] UKWIR (2012) Chemical Source Apportionment under the WFD (12/WW/02/3). Final report for UK Water Industry Research, 1 Queen Annes Gate, London, ISBN: 1 84057 637 5. [2] Comber, S.D.; Smith, R.; Daldorph, P.; Gardner, M.J.; Constantino, C.; Ellor, B. (2013) Development of a Chemical Source Apportionment Decision Support Framework for Catchment Management. Environ. Sci. Technol. 47, 9824-9832 Full details about this dataset can be found at https://doi.org/10.5285/8c5d9e38-0244-4a39-8600-a85513a6fecf