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2017

1643 record(s)
 
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From 1 - 10 / 1643
  • 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

  • This dataset compares historic grassland survey data with contemporary spatial data of habitats in England. The National Vegetation Classification (NVC) community and grassland type were determined for 848 quadrats surveyed at grassland sites in England between 1960 and 1981. A 100m buffer was generated around each individual quadrat which matched the spatial accuracy (±100m) of the quadrat location, to represent a grassland site. These sites were intersected with Natural England's Priority Habitats Inventory in ArcGIS, to indicate the percentage cover of priority habitats found at the grassland sites in 2013. This dataset supersedes the previous version. Full details about this dataset can be found at https://doi.org/10.5285/a75b9569-948a-4bb2-97a5-6863717881c8

  • This dataset consists of the 1km raster, percentage aggregate class version of the Land Cover Map 2015 (LCM2015) for Great Britain. The 1km percentage product provides the percentage cover for each of 10 aggregated land cover classes for 1km x 1km pixels. This product contains one band per aggregated habitat class (producing a 10 band image). 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 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. 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/10.5285/7115bc48-3ab0-475d-84ae-fd3126c20984

  • This web map service (WMS) is the 1km percentage aggregate class version of the Land Cover Map 2015 (LCM2015) for Northern Ireland. It shows the percentage cover for each of 10 aggregated land cover classes for 1km x 1km pixels. The 10 aggregate classes are broad groupings of the 21 target classes, based on the Joint Nature Conservation Committee (JNCC) Broad Habitats and 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.

  • The data contains nitrogen (N) offtake, N emissions (ammonia and nitrous oxide), soil parameters (pH, EC, NH4+, NO3−), biomass and grain production from a winter wheat field experiment located at Bangor University (Henfaes Research Station in North Wales) and Rothamsted Research (North Wyke (NW) in Devon). Data were collected between April 2017 and August 2017. Measurements and soil and plant samples were taken from 45 plots in a randomized complete block design. Sixteen extra mini-plots at the prevailing wind (south westerly) edge of the experiment site were used at NW for NH3 volatilization measurements. The treatments were control (C, without N application), food based digestate (D), food based digestate + the nitrification inhibitor 3,4-dimethylpyrazole (DMPP; D+NI), acidified food based digestate (AD), acidified food based digestate + the nitrification inhibitor 3,4-dimethylpyrazole (DMPP; AD+NI). Four rates of ammonium nitrate (NH4NO3; 75, 150, 225 and 300 kg N ha−1) were applied to compare yields and fertilizer replacement rate of the digestate treatments (targeted at 190 kg N ha−1). Soil pH, soil electrical conductivity (EC), soil NH4+ and soil NO3−, NH3 volatilization, N2O emissions were measured periodically for C, D, D+NI, AD and AD+NI and nitrogen concentration in grain and straw, grain yield and plant biomass for all treatments. Nitrogen offtake, losses and fluxes were used to determine the N use efficiency (NUE) and fertilizer replacement rate of the digestate treatments. Measurements were undertaken by members of staff from Bangor University, School of Environment, Natural Resources & Geography and Rothamsted Research, Sustainable Agricultural Sciences – North Wyke. Data was collected for the Newton Fund project “UK-China Virtual Joint Centre for Improved Nitrogen Agronomy”. Funded by Biotechnology and Biological Sciences Research Council (BBSRC) and NERC - Ref BB/N013468/1 Full details about this dataset can be found at https://doi.org/10.5285/836dfb2e-bc6f-47d2-b924-8261be671391

  • This dataset contains 90 source footprints of nitrogen and sulphur deposition across the UK. Emission data from UK sources of nitrogen and sulphur for the year 2012 has been modelled using the FRAME (Fine Resolution Atmospheric Multi-Pollutant Exchange) atmospheric dispersion model on a 5 x 5 km grid. The data are split by into both wet and dry deposition, oxidised and reduced, as well as local vs long-range components. Habitat-specific deposition data are provided also for (i) forest, (i) moorland (short semi-natural vegetation), and (iii) grid average (average of arable, grassland, urban, forest and moorland land cover types). Full details about this dataset can be found at https://doi.org/10.5285/e5bfac9b-0642-4b5b-a780-e5801b2dab8b

  • Data are presented of tensiometer measurements as centimetres of water from a field experiment in the Conwy catchment. The data were collected between October 2013 and January 2015 using tensiometers inserted into boreholes. The data were collected by trained members of staff from Bangor University and the Centre for Ecology & Hydrology. The samples were taken to provide supporting information for assessing the relationship between soil microbial populations and soil moisture status. The data were 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/10.5285/875ca233-ffaa-45c2-b4d2-db7d21bc0e61

  • [THIS DATASET HAS BEEN WITHDRAWN]. Standardised Precipitation Index (SPI) data for Integrated Hydrological Units (IHU) Hydrometric Areas (Kral et al. [1]). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. [2]. SPI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the gamma distribution is 1961-2010. The dataset covers the period from 1862 to 2015. NOTE: the difference between this dataset with the previously published dataset 'Standardised Precipitation Index time series for IHU hydrometric areas (1961-2012)' [SPI_IHU_HA] (Tanguy et al., 2015 [3]), apart from the temporal extent, is the underlying rainfall data from which SPI was calculated. In the previously published dataset, CEH-GEAR (Keller et al., 2015 [4], Tanguy et al., 2014 [5]) was used, whereas in this new version, Met Office 5km rainfall grids were used (see supporting documentation for more details). Within Historic Droughts project (grant number: NE/L01016X/1), the Met Office has digitised historic rainfall and temperature data to produce high quality historic rainfall and temperature grids, which motivated the change in the underlying data to calculate SPI. The methodology to calculate SPI is the same in the two datasets. [1] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Hydrometric Areas without Coastline. NERC-Environmental Information Data Centre https://doi.org/10.5285/3a4e94fc-4c68-47eb-a217-adee2a6b02b3 [2] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California. [3] Tanguy, M.; Kral., F.; Fry, M.; Svensson, C.; Hannaford, J. (2015). Standardised Precipitation Index time series for Integrated Hydrological Units Hydrometric Areas (1961-2012). NERC Environmental Information Data Centre. https://doi.org/10.5285/5e1792a0-ae95-4e77-bccd-2fb456112cc1 [4] Keller, V. D. J., Tanguy, M., Prosdocimi, I., Terry, J. A., Hitt, O., Cole, S. J., Fry, M., Morris, D. G., and Dixon, H.: CEH-GEAR: 1 km resolution daily and monthly areal rainfall estimates for the UK for hydrological use, Earth Syst. Sci. Data Discuss., 8, 83-112, https://doi.org/10.5194/essdd-8-83-2015, 2015. [5] Tanguy, M.; Dixon, H.; Prosdocimi, I.; Morris, D. G.; Keller, V. D. J. (2014). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2012) [CEH-GEAR]. NERC Environmental Information Data Centre. https://doi.org/10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e Full details about this dataset can be found at https://doi.org/10.5285/d8655cc9-b275-4e77-9e6c-1b16eee5c7d5

  • Data comprise earthworm survival and weight change data after 28 days exposure to nanomaterials and reproduction data after 56 days exposure. Concentrations of zinc and silver in extracted soil pore water and ultra-filtered pore waters are reported as well as pH and dissolved organic carbon data. The body concentration of zinc, silver and titanium in three earthworms from each replicate after 28 days exposure are included. Data were generated from a laboratory exposure experiment of earthworms (Eisenia fetida) to soil amended with sewage sludge. The sewage sludges were from a wastewater treatment plant (WWTP) treated with nanomaterials (ENMs) or metal/ionic salts. Sewage sludges were generated with either no metal added to the WWTP influent (control), ionic ZnO, AgNO3 and bulk (micron sized) TiO2 added (ionic metal-treated) or ZnO, Ag and TiO2 ENMs added (ENM-treated). A sandy-loam soil was amended with the treated sewage sludge and aged in outdoor lysimeters for six months. Earthworms were exposed to the aged mixtures and a dilution of the mixtures (using control soil-sludge mix). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/cc4679fd-02c1-4dd1-8aca-201ca9caaf9a

  • This dataset consists of the vector version of the Land Cover Map 2015 (LCM2015) for Great Britain. The vector data set is the core LCM data set from which the full range of other LCM2015 products is derived. It provides a number of attributes including land cover at the target class level (given as an integer value and also as text), the number of pixels within the polygon classified as each land cover type and a probability value provided by the classification algorithm (for full details see the LCM2015 Dataset Documentation). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. 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/10.5285/6c6c9203-7333-4d96-88ab-78925e7a4e73