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2017

313 record(s)
 
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  • Shrink-swell is recognised as the most significant geohazard across Great Britain. This dataset identifies areas of shrink-swell hazard with increased potential due to changing climatic conditions based on forecasts derived from the UKCP09 research project. The dataset has been created at two levels of detail for different climatic scenarios and dates up to 2080. The Basic dataset is an overview at 2Km grid resolution whilst the more detailed Premium dataset is generated at a 50m resolution. The Open versions are simplified versions of the premium versions and are shared via GeoIndex. The premium versions are paid for products. UKCP09 - UK Climate Projections 2009 project

  • This dataset contains measured daily values of precipitation, air and soil temperature, soil water content, measured net ecosystem exchange (NEE) fluxes using eddy covariance, calculated gross primary production (GPP), terrestrial ecosystem respiration (TER) and net biome production (NBP) fluxes using an online tool (http://www.bgc-jena.mpg.de/~MDIwork/eddyproc/upload.php), measured fluxes of methane and nitrous oxide using static chambers and measured fluxes of nitrous oxide using eddy covariance, measured fluxes of nitrogen oxides (NOx) using automatic chambers, measured nitrogen and carbon leaching, livestock density, nitrogen (N) and carbon (C) input from mineral and organic fertiliser and yield of a managed grassland (Easterbush, 03°02'W, 55°52' N, 190 m a.s.l ) in South East Scotland. Data were collected between January 2002 and December 2010. Furthermore the dataset contains one off soil carbon and nitrogen data collected in 2004 and 2010. The dataset also contains monthly dry N deposition data from a field nearby Easterbush (about 300 m distance) measured with a DELTA system from 2002-2010. The data were collected as part of the three European projects GREENGRASS (EC EVK2-CT2001-00105), the NitroEurope Integrated Project (contract 017841) and CarboEurope (Contract No. GOCE-CT-2003-505572). Full details about this dataset can be found at https://doi.org/10.5285/7e6e6955-a9d7-4f8a-961e-3fa3d56d0ead

  • Data derived from NERC Grant NE/J022632/1, Sequence alignments and resulting phylogenetic hypotheses from Harrington et al. (2016) BMC Evolutionary Biology.

  • The 5km Hex GS Landslides dataset shows a generalised view of the GeoSure Landslides v7 dataset to a hexagonal grid resolution of 64.95km coverage area (side length of 5km). This dataset indicates areas of potential ground movement in a helpful and user-friendly format. The rating is based on a highest level of susceptibility identified within that Hex area: Low (1), Moderate (2), Significant (3). Areas of localised significant rating are also indicated. The summarising process via spatial statistics at this scale may lead to under or over estimation of the extent of a hazard. The supporting GeoSure reports can help inform planning decisions and indicate causes of subsidence. The methodology is based on the BGS Digital Map (DiGMapGB-50) and expert knowledge of the behaviour of the formations so defined. This dataset provides an assessment of slope instability. Landslide hazard occurs due to particular slope characteristics (such as geology, gradient, sources of water, drainage, man-made constructions) combining to cause the slope to become unstable. Downslope movement of materials, such as a landslide or rockfall may lead to a loss of support and damage to buildings. Complete Great Britain national coverage is available.

  • The dataset created includes natural remanent magnetisation (NRM) of archive-half core sections recovered at nine sites (i.e. Sites U1422, U1423, U1424, U1425, U1426, U1427, U1428, U1429, and U1430) during IODP Expedition 346. NRM of the archive-half core sections were measured at every 5-cm interval resolution before and after 20-mT alternating field (AF) demagnetisation treatment. The dataset created also includes NRM of discrete samples taken from working-half core sections (typically one discrete sample per core from the longest hole at each drilling site). NRM of discrete samples were measured before and after a complete stepwise AF demagnetisation routine (up to 60-mT peak AF field). All NRM data collected were used to construct magnetostratigraphy for all sites drilled during Expedition 346. All data have been published in IODP proceedings Volume 346 (http://publications.iodp.org/proceedings/346/346toc.htm).

  • This dataset consists of the 1km raster, dominant aggregate class version of the Land Cover Map 2015 (LCM2015) for Northern Ireland. The 1km dominant coverage product is based on the 1km percentage product and reports the aggregated habitat class with the highest percentage cover for each 1km pixel. The 10 aggregate classes are groupings of 21 target classes, which are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. The aggregate classes group some of the more specialised classes into more general categories. For example, the five coastal classes in the target class are grouped into a single aggregate coastal class. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. LCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs. LCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is one of a series of land cover maps, produced by UKCEH since 1990. They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019. Full details about this dataset can be found at https://doi.org/10.5285/c38b3986-b67e-40e9-9026-85ddbe3830d3

  • The data are the gridded recharge values obtained from the BGS distributed recharge model (ZOODRM) driven by 11 Ensembles of the HaDCM3 Regional Climate Model (RCM) taken from the Future Flow and Groundwater Level data set (http://www.ceh.ac.uk/our-science/projects/future-flows-and-groundwater-levels). The model covers the mainland areas of England, Scotland and Wales. The 11 ensembles are run from January 1950 to December 2099. The dataset themselves are the gridded (2 km by 2 km) outputs from the recharge model averaged over four time horizons: historical, 20s, 50s, and 80s, for each of the 11 ensembles. The results can be used to assess the impact of climate change on potential recharge (soil drainage) for catchments in mainland England, Scotland and Wales.

  • Each file contains four columns of data representing: column 1: UTM Zone 19S Easting coordinate for survey location along the Rio Beni, Bolivia. column 2: UTM Zone 19S Northing coordinate for survey location along the Rio Beni, Bolivia. column 3: Measurment range from observer to bank in m column 4: Bank height in m (the difference between bank top and low flow water level) UTM coordinates were measured using a Trimble Global Position System with OmniSTAR HP correction Measurement range and bank height were measured using a GPS supported laser range finder (Impulse 200 LR< Laser Technology inc) Survey 1 was carried out between 15th and 19th September 2011, when the flow discharge within the Beni was in the range 453-530 cumecs Survey 2 was carried out between 20th and 23rd September 2011, when the flow discharge within the Beni was in the range 762-892 cumecs

  • Each contains two columns of data representing the UTM coordinates of the centre line of the Rio Beni in Bolivia. These coordinates were derived by digitising Landsat imagery and aerial photographs (1960 only). The number in the file name after "banks_c" corresponds to the year. Numbers in column 1: UTM Zone 19S Easting Numbers in column 2: UTM Zone 19S Northing

  • FeS polymorphs are of significant relevance to condensed matter physics and planetary science. In particular, they are thought to form the cores of Earth and Mars, which is suggested by their presence in many meteorites. Data are plain text files containing the relative volume expansion, molar heat capacity and molar entropy of the FeS phases at different pressures as a function of temperature. Research results based upon these data are published at https://doi.org/10.1016/j.jpcs.2017.07.033