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Environmental Monitoring Facilities

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  • Estimates of in-river concentrations (mg/l) and loads (kg/day) of nutrients to rivers in England and Wales from multiple sector sources, modelled with SAGIS (Source Apportionment GIS). The nutrients include nitrate (mg/l N) and ortho-phosphate (mg/l P); the estimate loads are expressed as kilograms per day (kg/day) and the in-river concentrations as milligrams per litre (mg/l). Sources are both diffuse and point. Diffuse sources include livestock farming, arable farming, highways, urban runoff, background (from soils), onsite wastewater treatment systems and atmospheric deposition. Point sources include treated wastewater effluent, combined sewer overflows and storm tanks, industrial discharges and mine water discharges. Concentrations and loads are modelled using the Environment Agency's catchment river model, SIMCAT, at the locations of model features or every 1 km along each river, taking into account all upstream sources and user defined river losses. SAGIS is a modelling framework was developed through the UK Water Industry Research Programme (UKWIR) project 'Chemical Source Apportionment under the WFD' [1], with support from the Environment Agency and SEPA. The model is also described in [2] [1] UKWIR (2012) Chemical Source Apportionment under the WFD (12/WW/02/3). Final report for UK Water Industry Research, 1 Queen Annes Gate, London, ISBN: 1 84057 637 5. [2] Comber, S.D.; Smith, R.; Daldorph, P.; Gardner, M.J.; Constantino, C.; Ellor, B. (2013) Development of a Chemical Source Apportionment Decision Support Framework for Catchment Management. Environ. Sci. Technol. 47, 9824-9832 Full details about this dataset can be found at https://doi.org/10.5285/8c5d9e38-0244-4a39-8600-a85513a6fecf

  • The dataset contains partial sequence of Mucoromycotina species (liverwort) isolates containing Eukaryota, fungi, Incertae sedis and Mucoromycota analyising for ribosomal RNA genes. This data is NERC-funded but not held by the EIDC. This data is archived in NCBI Nucleotide Accession Numbers: MH174461-MH174649 (Mucoromycotina species Isolate) PopSet: https://www.ncbi.nlm.nih.gov/popset/1375517771

  • This dataset contains modelled ammonia recapture by shelterbelts downwind of an ammonia source. The runs were located in the UK with ten years of averaged meteorological data for the different seasons of the year. Several tree species and tree heights were also taken into consideration and predictions of recapture were made for the year 5, 15, 25 and 50 after planting . Two models were coupled to obtain this dataset; Open-source Field Operation And Manipulation (OpenFOAM) and MOdel of Dispersion and Deposition of Ammonia over the Short-range in two dimensions (MODDAS-2D). This dataset was created by the Modelling Uncertainty for Decision Making on Ammonia mitigation with Trees in the landscape (MUDMAT) project funded by NERC. Full details about this dataset can be found at https://doi.org/10.5285/83a2a25c-dbb7-4760-ae3d-21904f3dd278

  • Data comprise measurements of spectral reflectance for quaking aspen (Populus tremuloides Michx.) trees at a range of sites in southwestern Colorado near the town of Crested Butte. Spectra were measured in three different ways: hyperspectral measurements of leaves, hyperspectral measurements of bark, and multispectral measurements of canopies. The first two measurements were made using a handheld spectrometer, while the latter were made via airborne imaging from an unmanned aerial system. In addition to these reflectance data, the dataset also includes information on the genotype and/or ploidy level of each sample, as determined by either DNA microsatellite analysis or flow cytometry. All samples are georeferenced. The data include extracted data and raw imagery. Full details about this dataset can be found at https://doi.org/10.5285/d663aeb9-1e3e-40f7-ab9e-494e7646faeb

  • Collated indices are a relative measure of butterfly abundance across sites monitored as part of the UK Butterfly Monitoring Scheme. Data from all survey sites (standard UKBMS transects, Wider Countryside Survey transects and targeted species surveys such as timed, larval web and egg counts) are used in the calculation of these indices. The statistics are presented as log10 values. These values are centred round an arbitrary value of 2 as a mean for the time series in order to help show which years are below or above average. Collated indices are calculated annually for each individual butterfly species that has been recorded on five or more sites in that year. Indices are calculated at UK level and at individual country level for England, Scotland, Wales and Northern Ireland where sufficient data are available. Based on this criterion, collated indices have been calculated for the entire time series from 1976 (UK, England and Wales), 1979 (Scotland) and 2004 (Northern Ireland) to the current year for the majority of species, but for some rarer species this has not been possible in some years, particular those in the first part of the time series. Collated indices are calculated using a log-linear model incorporating individual site indices from all monitored sites across the UK or country for a given species in a given year. The number of sites for each species ranges from 5 to several hundred or more and fluctuates from year to year. By 2010 almost 2,000 sites were monitored in total across the UK, with this number rising to more than 3,000 over the next decade. Collated indices are calculated so that we can determine how butterfly populations are changing over time across the UK. This data can be used, for example, to determine where to target conservation efforts and more generally the condition of the UK countryside. Butterflies are recognised as important indicators of biodiversity and environmental change, for example in UK and country Biodiversity Indicators, and have been used in numerous studies of the impacts of climate and habitat change on biodiversity. 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/10.5285/657a64b2-8c34-43d2-a0f0-662ddf73c720

  • This dataset includes measured DOC concentration, and modelled DOC concentration derived from UV-visible absorbance spectra. We also include measured chlorophyll concentration, pH and conductivity. The natural water samples were collected from freshwater ecosystems in the UK, and site names and locations. Samples were also collected at set intervals throughout the year, from mesocosm experiments simulating natural lake ecosystems. Data on measured and modelled DOC concentration, chlorophyll concentration, pH and conductivity for the mesocosms sampled, are also included. Full details about this dataset can be found at https://doi.org/10.5285/6abbc357-1b69-49b4-be28-a77eb7bc6c7f

  • This dataset contains botanical data from 13 calcareous grassland, 13 heathland and 12 woodland sites within Dorset, UK. The sites were selected to represent a range of habitat types across a condition gradient as measured by levels of degradation from the original habitat. The original habitats were identified as being calcareous grassland, heathland or woodland from a survey conducted in the 1930s. Within heathland and calcareous grassland sites the percentage cover of all plant species were recorded within five 1m quadrat squares. Plants were recorded to species level where possible, or genus where species level was not possible. Covers of bare ground and litter were also recorded. Within woodlands plots, sampling was done slightly differently to enable recording of ground level plants and species within multiple canopy levels. Cover and presence of all herbaceous species were recorded in 2m quadrat squares, cover of tree seedlings (<1.5 m height) were recorded in 5m quadrat squares and ground-level cover of trunk of tree species if necessary were recorded in 10m quadrat squares. Heathland and calcareous grassland sites were visited in summer 2017 and woodland sites were visited in summer 2018. Full details about this dataset can be found at https://doi.org/10.5285/8a75395f-7858-40a2-8364-eb3482aeaad1

  • Regular temperature, rainfall and other weather data, as collected between February 1999 and September 2002 from an on-site Automatic Weather Station, located on experimental plots at Sourhope, Scotland. Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT8545019630). During this time, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity). Full details about this dataset can be found at https://doi.org/10.5285/e6e835ae-99e6-445e-b0dc-0d0db44e310a

  • Dataset contains DNA sequencing from reciprocal crosses of B.terrestris dalmatinus and B.terrestris audax which were carried out by Biobest, Leuven. Four successful colonies (one of each cross direction) from two ’families’ were housed at the University of Leuven and kept in 21◦C with red light conditions, they were fed ad libitum with pollen and a sugar syrup. Callow workers were tagged in order to determine age. Worker reproductive status was confirmed by ovary dissection and entire bodies were then stored at -80◦C along with the original queen mothers and male fathers. Three reproductive workers, aged 16-17days, were selected from queen-less conditions from each of the crosses. This data is NERC-funded but not held by the EIDC. This data is archived in the NCBI SRA under BioProject PRJNA573820

  • [This dataset is embargoed until April 1, 2023]. This dataset contains information about the ringing records of mainly great tits, blue tits, marsh tits and coal tits, and a few other bird species. The data were collected in Wytham woods, Oxfordshire, UK during 2020 and 2021, as part of a long-term population monitoring project on the breeding biology and behaviour of birds. Full details about this dataset can be found at https://doi.org/10.5285/af4c9b5a-fba9-4133-b782-2a2cbc927280