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

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  • This dataset contains GPS data fixes (WGS84 format) from 32 European nightjars (Caprimulgus europaeus) . The data contains additional information on identity of the bird, date, time of fix acquisition, and the associated site and night number (between 6 and 17 nights of data, varying between individuals). These data were collected on the Humberhead peatlands NNR, South Yorkshire, from 2015 until 2018. Birds were caught in mist nets and tail-mounted miniaturised GPS tags (Pathtrack, Otley, UK; <3% bird bodyweight) were fitted by BTO-licensed researchers. Data were collected as part of a NERC ACCE-funded PhD. Full details about this dataset can be found at https://doi.org/10.5285/aa20f8c4-bbdb-4dfa-82b4-b9b3fd8f34eb

  • Data showing groundwater temperature and levels from bore holes are presented. The data were collected from a field experiment in the Conwy catchment between December 2013 and June 2015. Data were recorded by pressure transducers installed in the bore holes. The data were collected by trained members of staff from Bangor University and the Centre for Ecology & Hydrology. The samples were taken to estimate the hydraulic pathways and velocities through an experimental hillslope. 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/10.5285/6c58038e-f035-4ab5-8518-1f189eae3bf2

  • This is a 10-metre pixel data set representing the land surface, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. The pixel product is given as a two-band raster in geoTiff format. The first band gives the most likely land cover type; the second band gives the probability associated with this land cover. The probability layer is an indicator of uncertainty (0 to 100). Low values correspond to low certainty (higher uncertainty). This is the first 10m resolution land cover map produced by UKCEH. It succeeds 20m resolution classified pixel products from 2017, 2018 and 2019. A full description of this and all UKCEH LCM2020 products are available from the product documentation accompanying this data. Full details about this dataset can be found at https://doi.org/10.5285/35c7d0e5-1121-4381-9940-75f7673c98f7

  • 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

  • This dataset includes measurements of soil respiration in 20 plots (250 x 10 m each) in the Brazilian Amazon. Study plots were distributed across a gradient of forest disturbance, including: undisturbed primary forests , logged primary forests, logged-and-burned primary forests, and secondary forests. Data were collected from January 2015 until November 2017. In December 2015, during the El Niño-mediated drought, eight of our study plots were affected by understory fires. Full details about this dataset can be found at https://doi.org/10.5285/e5f361b3-b434-4d11-9407-e5f48fe442b0

  • This dataset contains particulate and dissolved organic carbon concentrations, nutrients (ammonia, nitrates, phosphate), alkalinity, pH, particulate organic nitrogen, delta-C-13 and delta-15-N isotopes, fluorescence and absorbance from river water samples. Data come from 41 rivers from around Great Britain, sampled on a monthly basis during 2017. LOCATE (Land Ocean CArbon TransfEr) is a multi-disciplinary project that undertakes coordinated sampling of the major rivers in Great Britain to establish how much carbon from soils is getting into rivers and estuaries and to determine what is happening to it. LOCATE is a multidisciplinary NERC project involving the National Oceanography Centre, the British Geological Survey, the Centre for Ecology and Hydrology and the Plymouth Marine Laboratory, with assistance from the University of Lancaster, University of Durham, University of Hull, the University of the Highlands and Islands and the Environment Agency. Full details about this dataset can be found at https://doi.org/10.5285/08223cdd-5e01-43ad-840d-15ff81e58acf

  • This dataset provides linear trends, over varying time periods, for the UK Butterfly Monitoring Scheme (UKBMS) collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series for each species (1976 to 2018), for the last 20 years, and for the last decade. In addition a trend class, based on slope direction and its significance, and a percentage change for that time period are provided to describe the statistical trends. These trend data are provided for 59 UK butterfly species. Trends across different time series allow us to determine the long and short-term trends for individual species. This enables us to focus conservation and research and also to assess species responses to conservation already in place. The UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the Centre for Ecology & Hydrology (CEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme. 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/ee4b440e-2604-40b9-bca7-19d6392bd9ea

  • The dataset describes the effect of soil type, soil sterilisation and drought treatment on survival rate and growth of Howea belmoreana and Howea forsteriana, grown from seed in an experiment on Lord Howe Island for 30 months. The data describe the number of surviving plants per replicate, as well as height and number of leaves of individual plants at two timepoints. The work was carried out by Dr Owen Osborne and Prof. Vincent Savolainen, Imperial College London, and was funded by the NERC grant NE/M015742/1. Full details about this dataset can be found at https://doi.org/10.5285/eb9f4320-3c8e-4bfe-bb58-9a6df63f3f37

  • 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 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