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UK

25 record(s)

 

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From 1 - 10 / 25
  • This dataset contains data on the spatial attendance patterns of immature common guillemots (Uria aalge) at four sites in a large breeding colony. Data were collected from 25th April-12th May and 21st May-15th June 2013 at four sites on the Isle of May, Scotland. A grid was superimposed onto a photograph of each site. Grid cells were then classified as breeding or pre-breeding areas according to the presence or absence of breeding activity at any point during data collection (i.e. an egg or chick). A total of 69 randomly selected and individually-marked birds were followed using a telescope for 10 minute periods and their location in these grids was recorded every 15 seconds. This work was part of a NERC-funded PhD project looking at interactions between avian colonial social structure and tick-borne pathogen dynamics. Full details about this dataset can be found at https://doi.org/10.5285/dbd72bb5-4ad5-4d2f-b546-1cea672f76e8

  • Bird species data from the UK Environmental Change Network (ECN) lowland terrestrial sites. These data were collected, using the British Trust for Ornithology (BTO)'s Common Bird Census methodology (CBC), at ECN's lowland terrestrial sites using a standard protocol. This protocol was abandoned in favour of the Breeding Bird Survey (Rennie et al (2017) UK Environmental Change Network (ECN) bird data: 1995-2015 https://doi.org/10.5285/5886c3ba-1fa5-49c0-8da8-40e69a10d2b5) in 1999; however, some sites continued to follow this protocol for a number of years after 1999 to allow comparison with the Breeding Bird Survey data. The CBC uses a mapping method in which a series of visits are made to all parts of a defined plot during the breeding season and contacts with birds by sight or sound are recorded on large-scale maps. Information from the series of visits is combined to estimate the number of territories found. Annual data are recorded but the date ranges available are variable for each site. ECN is the UK's long-term environmental monitoring programme. It 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. Full details about this dataset can be found at https://doi.org/10.5285/8582a02c-b28c-45d2-afa1-c1e85fba023d

  • This dataset is a census of the heathland and associated vegetation from Dorset, UK. The Dorset heathlands are situated in South West England, and are generally associated with free-draining and acidic soils overlying Tertiary sands and gravels. The heathlands comprise a mosaic of different vegetation types, characterised by dwarf shrub communities dominated by members of the Ericaceae (e.g. Calluna vulgaris, Erica spp.), together with areas of mire, grassland, scrub and woodland. Unless they are managed heathlands undergo succession to scrub and woodland. Therefore the majority of heathland sites are currently under some form of conservation management, which is implemented to reduce succession to scrub and woodland. Management interventions include cutting and burning of vegetation, and grazing by livestock. Individual heathland patches are also managed for ecosystem services, such as recreation and timber production, as well as biodiversity conservation. Full details about this dataset can be found at https://doi.org/10.5285/4c347ec4-0beb-4355-9780-89dad718b2f3

  • The dataset consists of location records of the Harlequin ladybird (Harmonia axyridis) in the UK. The records span from 2004 to 2016 with three records from 2003. Records were collected from several sources with the majority coming from online recording via the Harlequin Ladybird Survey website, the UK Ladybird Survey website and the iRecord Ladybird app. Other records have come from coleopterists and from a data call for the most recent ladybird atlas (e.g. local record centres, natural history societies, county Coleoptera recorders). The records include location, date and vice county, as well as life stage and colour form where available. The arrival of the Harlequin ladybird has provided a unique opportunity to study the spread of an invasive animal from the start of the invasion process. The advancements in modern technology, in particular the internet, has also provided new opportunities for recording and has enabled engagement with a far wider audience than was previously possible. This has allowed the ladybird surveys to deal efficiently with large volumes of data and verify and validate submitted records quickly. The data authors are extremely grateful to the many thousands of people across Britain who have contributed their ladybird findings to the UK Ladybird Survey. Full details about this dataset can be found at https://doi.org/10.5285/70ee24a5-d19c-4ca8-a1ce-ca4b51e54933

  • This is a high resolution spatial dataset of Digital Terrain Model (DTM) data in South West England. The DTM along with a Digital Surface Model (DSM) cover an area of 9424 km2 that includes all the land west of Exmouth (i.e. west of circa 3 degrees 21 minutes West). The DTM represents the topographic model (height) of the bare earth. The dataset is a part of outcomes from the Centre for Ecology & Hydrology South West (SW) Project. There is also a Digital Surface Model (DSM) dataset covering the same areas available from the SW project. Full details about this dataset can be found at https://doi.org/10.5285/e2a742df-3772-481a-97d6-0de5133f4812

  • This is a dataset obtained from analysis of lake sediment and overlying water from six sites along a depth gradient, in Loch Leven, Scotland, over a period of one year. Parameters measured from the water and included in the dataset are dissolved oxygen concentration, conductivity, pH, temperature, concentrations of three forms of phosphorus, and ammonium and silica concentrations. Chlorophyll a concentration measured from the sediment surface is included, and within the sediment concentrations of seven different forms of phosphorus are provided. Full details about this dataset can be found at https://doi.org/10.5285/76a2bd9a-fb02-4f37-91b9-4835eb31ab7b

  • A subset of the Loch Leven long-term monitoring project dataset. This subset contains data collected from Loch Leven between 1985 and 2007 at three sampling sites in the lake. It includes results of chlorophyll, phosphorus, and silicon analyses as well as conductivity and water temperature measurements. The data relate to water samples taken at fortnightly or monthly intervals. Data available in digital form is described here. Additional data currently held as hard copy, will become available once digitised. Full details about this dataset can be found at https://doi.org/10.5285/2969776d-0b59-4435-a746-da50b8fd62a3

  • Elevation contour lines within the Wye catchment at 10 and 20 metre intervals. The contour lines have been digitised from a scanned topographic map.

  • The dataset comprises counts of four planktonic diatom taxa collected from Loch Leven from 1968-2007 by staff at the Centre for Ecology & Hydrology and its predecessor bodies, as part of their long-term monitoring programme of the lake. Count units are the density of cells per millilitre of water for four species; Asterionella formosa, Aulacoseira spp, Diatoma spp, Unicellular centric diatoms. Counts are of weekly to monthly frequency and from a single sampling station Full details about this dataset can be found at https://doi.org/10.5285/de5ca6cc-02e9-42bc-a39e-80ec8acbffba

  • This dataset provides annual estimates of species occupancy and species trend estimates in the form of growth rates for 5,293 UK invertebrate, bryophyte and lichen species for the period 1970 to 2015. Estimates are provided at the country level for England, Scotland, Wales and Northern Ireland as well as for the UK and Great Britain (GB) where possible. These data were generated using observations of species collated by UK recording schemes and societies as the input data for a Bayesian occupancy model. The outputs resulting from this modelling framework are presented in three forms: • 1000 samples from the modelled posterior distribution of the proportion of occupied sites for each species for each year and for each region analysed. • Summary tables from the model outputs detailing mean occupancy and associated statistics including credible intervals and rhat measure of convergence. • Derived species trend estimates in the form of annual percentage growth rates. Annual estimates derived from fine-grained data (1x1km squares) have not been determined for this set of species before, making this a unique dataset that broadens knowledge on UK biodiversity change. 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/10.5285/0ec7e549-57d4-4e2d-b2d3-2199e1578d84