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2014

1013 record(s)
 
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From 1 - 10 / 1013
  • 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.

  • 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

  • This dataset contains carbon and nitrogen stock 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 two 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. Soil C and N were analysed by the University of Manchester. The data includes carbon and nitrogen budgets to depth at all sites. Full details about this dataset can be found at https://doi.org/10.5285/58709d9b-2b52-4f5d-8f3b-49354e664aea

  • 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. This dataset was derived from the Integrated Hydrological Terrain Model. A Catchment represents the full area upstream from a Section outlet, which is a cell upstream of a confluence of two watercourses with known names. While Sections do not overlap, Catchments can overlap because one Catchment contains Catchments for all upstream Sections. 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/10.5285/10d419c8-8f65-4b85-a78a-3d6e0485fa1f

  • A measure of the extent and complexity of riprian vegetation upstream of chalkstream sites derived from Light Detection and Ranging (LiDAR) data for three chalkstream sites within the Wessex chalk area (River Till, River Wylye and Nine Mile River). For each site there is an estimate of the minimum, maximum, mean and standard deviation height of vegetation along the banks for a range of distances upstream from the sampling location. Information on the extent and complexity of riparian vegetation upstream of chalkstream sites were used to better understand the relationships between in-stream biological communities and catchment and riparian land use. Stream sites surveyed represented a sample of chalkstreams across a gradient of catchment land cover intensification from catchments dominated by extensive calcareous grassland and woodland (Nine Mile River) to those dominated by arable and improved grasslands (Wylye). LiDAR data were obtained from the Environment Agency in April 2014. This dataset was created as part of work package 3.2 of the Wessex Biodiversity & Ecosystem Service Sustainability (BESS) project. Full details about this dataset can be found at https://doi.org/10.5285/61170f63-5ce0-43e3-8b0e-49c5a47bd3d0

  • This dataset was generated from a laboratory experiment investigating the toxicity of Cerium oxide nanoparticles and non-nanoparticles to the earthworm Eisenia fetida. The toxicity test procedure followed the OECD guideline 222 (earthworm reproduction test (Eisenia fetida/andrei)). Exposure concentrations for both nano and non-nano Cerium oxide particulate forms and the cerium salt materials were 41, 102, 256, 640, 1600, 4000, 10000 mg Ce per kg (Dry Weight soil). Each replicate container held 500 g soil with ten worms. There were three replicate containers per treatment concentration. All exposures were run concurrently and hence effect could be benchmarked against a universal control treatment for the experiment. This comprised of ten separate replicates of Lufa 2.2 soil without amendment of any form of Cerium. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/87659913-c552-449f-bd00-c101ef90b300

  • 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

  • This is a high resolution spatial dataset of Digital Surface Model (DSM) data in South West England. It is a part of outcomes from the CEH South West (SW) Project. There is also a Digital Terrain Model (DTM) dataset covering the same areas available from the SW project. Both DTM and DSM cover an area of 9424 km2 that includes all the land west of Exmouth (i.e. west of circa 3 degrees 21 minutes West). The DSM includes the height of features on the bare earth such as buildings or vegetation (if present). An overview of the TELLUS project is available on the web at http://www.tellusgb.ac.uk/. Full details about this dataset can be found at https://doi.org/10.5285/b81071f2-85b3-4e31-8506-cabe899f989a

  • This dataset contains greenhouse gas flux data and vegetation survey data from an experiment based at Winklebury Hill, UK. The vegetation survey comprises total species percentage cover and species richness data from four 50 cm by 50 cm quadrats. The greenhouse gas flux data comprises net ecosystem carbon dioxide exchange, photosynthesis and respiration data measured with an Infra-red Gas Analyser (IRGA); methane, carbon dioxide and nitrous oxide data measured using gas chromatography; and nitrate and ammonium from soil samples extracted with potassium chloride. The experiment used seeds and plug plants to create different plant communities on the bare chalk on Winklebury Hill and tested the resulting carbon and nutrient cycling rates and compared these to the characteristics of different plant functional groups. The experiment ran from 2013 to 2016 and this dataset contains data from 2014 only. This experiment was part of the Wessex BESS project, a six-year (2011-2017) project aimed at understanding how biodiversity underpins the ecosystem functions and services that landscapes provide. Full details about this dataset can be found at https://doi.org/10.5285/1e9cd575-66a0-4d7e-920c-4ce462efe5ce

  • These data were collected from three-spined sticklebacks (Gasterosteus aculeatus L.) sampled at sites downstream of wastewater treatment works (WWTWs), and at sites with no identifiable WWTW input, in the north west of England. For fish captured at each site, data include fish characteristics (weight, length, condition factor and sex). Additionally, indicators of stress (whole-body concentrations of cortisol, cortisol released to water, and whole-body glucose concentrations) were quantified in order to assess the status of the stress axis in individuals immediately following capture (unstressed - baseline cortisol and glucose) and after a short period of confinement (stressed - elevated cortisol and glucose). The data were collected as part of a study conducted to evaluate whether the complex chemical milieu present in rivers downstream of WWTWs, one of the most abundant point-sources of aquatic pollutants in UK waters, can affect the functioning of the stress axis in fish. Sampling was conducted during 2011, 2013 and 2014 by the Centre for Ecology & Hydrology. Full details about this dataset can be found at https://doi.org/10.5285/87281ce8-6fb3-40c8-89de-0c476d84b110