5 urn:ogc:def:uom:EPSG::9001

14 record(s)


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  • [This dataset is embargoed until December 31, 2021]. The data consists of the abundance of antibiotic resistant genes (ARG) in fresh cattle faeces from faecal samples taken from a cohort of 30 cattle. The cattle were from the North Wyke Farm Platform, a UK national capability, located at Rothamsted Research, North Wyke in Devon. Faecal samples were collected in November 2016. The cohort of 30 cattle were selected from 90 animals, ten from each of the three farmlets. Samples were collected from cattle as they entered housing for the winter, i.e. at weaning. Full details about this dataset can be found at

  • This dataset measures the abundance of ant species at baited traps set across twelve trees in four experimental plots in lowland, tropical rainforest. Baited traps were set at 5 m vertical intervals from the ground to as high as possible in the canopy, the stratum of each trap location was recorded. At each height two pairs of baited traps were set, each pair contained one trap baited with carbohydrate (honey and oats) and the second with protein (tuna). Traps within each pair were separated by approximately 20cm were left open for 24 hours. All ants collected were identified to morphospecies level and the species abundance in each trap was recorded. Full details about this dataset can be found at

  • Data comprise estimates of activity concentrations of naturally occurring radionuclides (40K, 238U and 232Th series radionuclides) in environmental media (soil and stream sediments and waters) and non-human biota (focusing on the ICRP Reference Animals and Plants). For soil, stream sediments and stream waters data were derived from total K, U and Th concentrations mainly from the ongoing geochemical survey of the United Kingdom (G-BASE), conducted by the British Geological Survey. The geochemical survey data are currently incomplete for England and Wales, but almost complete coverage was obtained for K in stream sediments by using the Wolfson Atlas data for southern England. For U and Th in sediments and K, U and Th in soils, more complete coverage was achieved by geological extrapolation (using relationships between soils/sediments and bedrock/superficial geology). For media and sediments, datasets are provided for both: (i) geometric mean concentrations from measured samples on a 5 x 5 km square basis where data are available; and (ii) extrapolated surfaces covering all of England and Wales. Data for non-human biota are from targeted sampling and analyses and data review. Full details about this dataset can be found at

  • This dataset provides the location details of Environmental Change Network (ECN) sites from which data are collected. There are 12 terrestrial sites and 45 freshwater sites. Sites range from upland to lowland, moor land to chalk grassland, small ponds and streams to large rivers and lakes. ECN is the UK's long-term environmental monitoring programme. A wide range of integrated physical, chemical and biological variables which drive and respond to environmental change are collated, quality controlled and made freely available for scientific research. The data form an important evidence base for UK environmental policy development. ECN is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage.

  • These data are metrics of landscape configuration and modelled provision of Ecosystem services for a large number of virtual landscapes (c. 7500) superimposed on real topography. The landscapes are made up of patches of woodland interspersed across a grassland, and were generated with the landscapeR package in R. The topography used is from the Conwy catchment, split into 10 sections to enable comparison between topographies. Metrics were generated for each virtual landscape to quantify landscape configuration. An Ecosystem Services model (LUCI) was run to calculate a metric of “area mitigated” as a proxy for the provision of runoff mitigation Ecosystem Services. Simulated landscapes were established to answer two questions: firstly to identify the relative controls of patch area and fragmentation on service provision and secondly to identify catchment feature controls on these relationships. The work was done by Dario Masante and Amy Thomas, with input from Laurence Jones, as part of work under the NERC Biodiversity and Ecosystem Services (BESS) project NERC Grant Ref: NE/K015508/1. Full details about this dataset can be found at

  • Erosion risk mapping showing river channel concentrations modelled using SCIMAP for the Yorkshire River Derwent, UK. Scenario mapping has been carried out and the dataset includes the following scenarios to assess variation in model output: 1) traditional land use map; 2) satellite derived land use maps; 3) long term rainfall averages; 4) integrating the artificial drainage network and 5) incorporating future climate change. Full details about this dataset can be found at

  • Data are presented showing change in saltmarsh extent along 25 estuaries/embayments in six regions across Great Britain, between 1846 and 2016. Data were captured from maps and aerial photographs. Marsh extent was delineated a scale of 1:7,500 by placing vertices every 5 m along the marsh edge. Error introduced from: (i) inaccuracies in the basemap used to georeference maps and aerial photographs; (ii) the georeferencing procedure itself; (iii) the interpreter when placing vertices on the marsh edge; and (iv) map and photo distortions that occurred prior to digitisation were calculated and used to estimate the root mean square error (RMSE) in areal extent of each marsh complex. Measures of marsh extent were only recorded if maps and aerial photographs were available for the entire estuary/embayment. Data was collected as part of a study on the large-scale, long-term trends and causes of lateral saltmarsh change. The data was used in the analysis for Ladd et al. (2019). C. Ladd and M.F. Duggan-Edwards carried out the collection and processing of the saltmarsh extent data. All authors contributed to the interpretation of the data. The work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1. Full details about this dataset can be found at

  • Data were generated to investigate the influence of bed roughness on the dynamics of large sand-bed rivers like the South Saskatchewan, Canada. The influence of roughness was investigated by using a numerical model to simulate the evolution of the river bed for a hypothetical sand-bed river modelled on the South Saskatchewan. The model generated information on the evolving river bed topography, water depth, flow velocities and sediment transport rates, over a period of 28 years as part of NERC project NE/L00738X/1 Full details about this dataset can be found at

  • The dataset contains information on the species identity and frequency of all insect-flower interactions recorded in 10 birch (Betula spp.) woodland fragments surveyed in 2009 (May-August). The data were collected in two transects (50 x 2m; 15m apart and at least 50m from the woodland edge) randomly situated prior to the onset of flowering in the centre of each wood. Five of the woodland sites were disturbed by cattle grazing, while five were undisturbed. Landowners confirmed that livestock had been absent for at least 70-100 years in undisturbed sites. Where livestock were present, cattle grazing was light to moderate (e.g. 2007: mean = 8.4 cattle ha-1) and long term (mean = 33 years). The dataset comprises 13 columns, 2002 rows and is 218 KB. It gives the site name, geographic coordinates, whether it was disturbed by cattle grazing or not, the wind speed and temperature at time of sampling, the date of sampling, and the identity of the insect and plants interacting (binomial name or recognisable taxonomic unit). Full details about this dataset can be found at

  • The data consists of faecal microbiology and moisture content taken from two separate cohorts of 30 cattle. The cattle were from the North Wyke Farm Platform, a UK national capability, located at Rothamsted Research, North Wyke in Devon. Faecal samples were collected between November 2016 and July 2018. Samples were collected and microbiologically analysed in the laboratory within 6 to 8 hours. Two cohorts of 30 cattle were selected from 90 animals, ten from each of the three farmlets. Each cohort covering the period that cattle enter the farm platform, i.e. from weaning until slaughter ca. 16 – 20 months. Full details about this dataset can be found at