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10 urn:ogc:def:uom:EPSG::9001

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  • This dataset contains analytical results for wild yeast isolates from soil samples at and near a disused metal smelting works in the north-east of the UK. The main contaminant from the smelting works was lead (Pb), but Cd was also elevated. The soil near the smelting works showed above-background levels of Pb. Yeasts of similar colony morphology on laboratory agar were isolated and proved to be mostly isolates of Saitozyma podzolica: 56 independent clonal isolates of this yeast were confirmed by ITS sequencing and RAPD-PCR. All of the S. podzolica isolates were tested for Pb and Cd resistance (IC50) and heteroresistance. Heteroresistance indicated variation in metal resistance between individual cells of clonal populations. Some isolates were also tested with Zn. The genomes of the isolates were sequenced and sequence data submitted to the NCBI/EBI. Full details about this dataset can be found at https://doi.org/10.5285/299f89cd-7bbe-4428-9552-c51981c5f883

  • Data comprise concentrations of organochlorine insecticides and mercury in sparrowhawk, kestrel and heron livers taken during post mortem from deceased birds of prey sent into the Predatory Bird Monitoring Scheme (PBMS) by the public. The data are presented as micrograms of contaminant per gram of liver tissue (wet weight). The PBMS is a long-term, national monitoring scheme that quantifies the concentrations of contaminants in the livers and eggs of selected species of predatory and fish-eating birds in Britain. Levels of contaminants are monitored to determine variations between species and regions, changes over time and effects on individual birds and their populations. The Scheme is currently funded by CEH, Natural England, the Environment Agency (EA) and the Campaign for Responsible Rodenticide Use (CRRU). Full details about this dataset can be found at https://doi.org/10.5285/e39e3afb-eb90-4a7d-921d-e03b1a0f414d

  • Vegetation data from botanical field survey of trials of selective herbicide impacts on tor-grass (Brachypodium pinnatum s.l.) control at Martin Down NNR, England. The data relate to 50 cm × 50 cm quadrats placed in herbicide treated and control plots in a replicated experiment, including a baseline (pre-treatment) survey in 2012 and three surveys after repeat treatments in 2013, 2014 and 2015. Data include percentage cover of plant species, bare ground and plant groups (total grasses, total forbs) as well as data on plant indictor status and Ellenberg N value. The data cover areas of both sparse B .pinnatum cover, with the goal of preventing B. pinnatum from increasing to dominance, and dense B .pinnatum cover, with the goal of reducing B. pinnatum cover to a level which allowed the reestablishment of other calcareous grassland species. Data have been used to analyse herbicide impacts on the cover of target species B. pinnatum and non-target species groups (other grasses, forbs, positive indicators, negative indicators, arable indicators), as well as community level analyses (Ellenberg-N weighted cover, DCA). Full details about this dataset can be found at https://doi.org/10.5285/43095c2d-b959-4216-8362-0fb18deed1e6

  • This dataset contains information about moth caterpillar abundance at sites lit by streetlights (LED; high pressure sodium and low-pressure sodium) and unlit control sites. Caterpillars were sampled at 26 matched pairs of lit and unlit sites between 2018 and 2020 as part of a study of the effects of street lighting on the early life stages of moths. Full details about this dataset can be found at https://doi.org/10.5285/4d3f4c8a-5605-4990-8ca1-42f8ddf63698

  • Data comprise results of systematic live-trapping surveys of small mammals on three types of arable field margin at 30 locations on the Hillesden Estate, Buckinghamshire (UK), for four autumn and four spring periods between 2005 and 2011. Trapping was conducted on standard (cross compliance) field margins, and also on conservation margins (Entry Level Scheme). Data include 3172 trap records of animal captures, including breeding condition, mass (g), and recaptures. Dominant species are Wood Mouse (Apodemus sylvaticus), Bank Vole (Myodes glareolus), Field Vole (Microtus agrestis) and Common Shrew (Sorex araneus), with smaller numbers of Pygmy Shrew (Sorex minutus), Water Shrew (Neomys fodiens) and Harvest Mouse (Micromys minutus). The research was funded by Defra. Full details about this dataset can be found at https://doi.org/10.5285/5a0eaccc-446b-4854-b717-efaec6b83b86

  • Data comprise the number of macro-invertebrate taxa (including family and group name) recorded at four sites on the River Beas in November 2017. Data were generated from kick-sampling following the UK Environment Agency's standard semi-quantitative protocol. Also included are site location information (latitude and longitude). The data were collected by Heriot-Watt University under the Sustaining Himalayan Water Resources in a Changing Climate (SusHi-Wat) project funded by NERC. Full details about this dataset can be found at https://doi.org/10.5285/6bfc1787-354d-454f-8277-d9edb1e6455a

  • The dataset contains the day of year for the onset and end of thermal stratification and its total length in Blelham Tarn, Esthwaite Water, Windermere, north basin and Windermere, south basin between 1951 and 2017. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/d029bb43-5722-4932-9c14-be316a2e7144

  • This dataset includes the PROTECH validation output against a yearlong monitoring study conducted during 2016 in the lake and catchment of Rostherne Mere and the PROTECH output files following changes in internal and external nutrient loads and future climate scenarios based on the UK Climate Projections (UKCP09) data. These data were collected to demonstrate the future possible trajectories of change with alterations in air temperature, internal nutrient loads and external nutrient loads. Validation data is presented as daily model outputs, while all future projection data is presented as collated annual average model output data for each future change scenario. The PROTECH model (Phytoplankton RespOnses To Environmental CHange) simulates the in situ dynamics of phytoplankton in lakes and reservoirs, specialising in predicting phytoplankton species, particularly Cyanobacteria (blue-green algae) The work was carried out as part of a Natural Environment Research Council (NERC) funded PhD [grant number NE/L002493/1]. Full details about this dataset can be found at https://doi.org/10.5285/2f0eae1c-1512-4823-9cbe-cb54f05ee996

  • This dataset contains time series observations of land surface-atmosphere net ecosystem carbon dioxide exchange (NEE) and supporting micrometeorological observations collected at 13 peatland eddy covariance (EC) flux observation sites located across Wales, Scotland and England. Sites were active at different timescales between 2008 and 2020. The dataset represents a subset of the variables measured at each site. The full range of variables monitored at each location can be accessed via EIDC records and/or by contacting the authors. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/b8c9fd3d-f9ea-4fd8-9557-9022884f711d

  • Data collected from a progeny-provenance trial to examine Dothistroma needle blight (DNB) infection in native Scottish populations of Scots pine. Data include multiple infection assessments and height measurements and a single chlorophyll fluorescence measurement, record of branching and a defoliation assessment for each tree in the trial plus measurements of individual infected needles (length of lesions, number of lesions per needle, length of needle). The trial was transplanted from CEH Edinburgh in April 2013 to Torrs Warren forest, Galloway, a site known to be infected with Dothistroma needle blight (DNB), caused by Dothistroma septosporum. The experiment ran until September 2015 with infection assessments (% estimated DNB severity per tree) performed roughly every 6 months from September 2013. Full details about this dataset can be found at https://doi.org/10.5285/99e028cc-4c3c-490b-bade-b9ef062a16e8