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  • Sequence data from blood samples, taken from a wild population of long-lived birds (mute swans; Cygnus olor) that has experienced three outbreaks of related H5 HPAIVs in the past decade, specifically, H5N1 (2007), H5N8 (2016) and H5N6 (2017). Detailed demographic data were available and intense sampling was conducted before and after the outbreaks. This data is NERC-funded but not held by the EIDC. This data is archived in NCBI Genbank at https://www.ncbi.nlm.nih.gov/nuccore with accession numbers MH819084 to MH819175 (inclusive)

  • This web map service displays existing and potential areas of habitats associated with calcareous, coastal, upland and lowland heath landscapes. The dataset was initially created to provide a sampling framework for a field survey carried out in 1992 and 1993 by the Institute of Terrestrial Ecology (later part of the Centre for Ecology & Hydrology). It was derived from a range of geology, soils, altitude and land cover data.

  • The data set is sequences of microorganisms that were isolated or determined by direct DNA extraction from the Eyjafjallajökull Iceland lava flows. The data is held in BLAST as follows: Clone 16S rRNA gene sequences have been deposited in GenBank under accession numbers HQ898914 to HQ900366.

  • This web map service shows bee nectar plant richness across Great Britain . The source data uses counts of bee nectar plants in Countryside Survey area vegetation plots in 2007 and extrapolates to 1km squares across GB using a generalised additive mixed model. Co-variables used in the model are Broad Habitat (the dominant broad habitat of the 1km square), air temperature, nitrogen deposition, precipitation and altitude. The map has the following layers: plantCount = a modelled estimate of the count of all bee nectar plants within a 1km by 1km square, SEM = a measure of the variance of the plantCount attribute Understanding the distribution of bee nectar plants does provide valuable information on the potential distribution of pollinators and hence pollination.

  • This dataset includes data collected from the hillslope with tree shelterbelt study site located within the Pontbren study catchment in mid-Wales, UK. The hillslope is an area of improved grassland that has had a strip of trees contour planted across it that was instrumented between 2005-2009 as part of the Pontbren Catchment Study Land Use and Management Multi-Scale Experimental Programme. Within the Pontbren hillslope dataset folder are overland flow runoff collected from overland flow traps within the tree shelterbelt (Hillslope tree shelterbelt overland flow sub-folder), overland and drain flow occurring above the hillslope (Hillslope runoff weir box sub-folder), and soil water pressure data measured using tensiometers installed above, within and below the tree shelterbelt (Hillslope tensiometers sub-folder). Details of the monitoring system locations are provided in the Pontbren Catchment Study Data Catalogue. Overland flow and drain flow from the hillslope immediately above the tree shelterbelt was monitored using weir box systems between 2006-2009. Pressure transducers installed in the weir boxes were sampled every minute and averaged and logged every five minutes to provide estimates of flow (ls-1). Three transects of tensiometers installed above, within and below the tree shelterbelt provide soil water tension data (cm H2O) for the period 2005-2009. Overland flow data are also provided from 2 overland flow traps installed within the tree shelterbelt for the period 2005-2009. Traps were installed to collect data from two 5 m x 5 m isolated plots. Initially plots were set up so that the cumulative overland flow volume (mm) occurring between site visits could be measured. This setup was then replaced by tipping bucket systems connected to data loggers (logged every 10 minutes) to provide continuous overland flow (ls-1) data from these plots. Data are provided in the form of .txt files and generally split into 6 month blocks. Note that within the Hillslope tree shelterbelt overland flow subdirectory files with T1 and T2 in the name refer to overland flow traps 1 and 2 respectively. Associated with each data point in the .txt file is a quality assurance code, QA code, in the adjacent column. Details of the dataset and the quality assurance coding system are provided in the supporting documentation. Other measurements taken at the hillslope study site include soil volumetric moisture content and groundwater height. Datasets of these other parameters are provided by the EIDC.

  • This web map shows positive plant habitat condition indicators across Great Britain (GB). This data provides a metric of plant diversity weighted by the species that you would expect and desire to have in a particular habitat type so indicates habitat condition. In each Countryside Survey 2007 area vegetation plot the number of positive plant habitat indicators (taken from a list created from Common Standards Monitoring Guidance and consultation with the Botanical society of the British Isles (BSBI)) for the habitat type in which the plot is located are counted. This count is then divided by the possible indicators for that habitat type (and multiplied by 100) to get a percentage value. This is extrapolated to 1km squares across GB using a generalised additive mixed model. Co-variables used in the model are Broad Habitat (the dominant broad habitat of the 1km square), air temperature, nitrogen deposition, sulphur deposition, precipitation and whether the plot is located in a Site of Special Scientific Interest (SSSI) (presence or absence data).

  • This data is NERC-funded but not held by the EIDC. This data is archived in Figshare. This is a collection of datasets containing life cycle analysis impact assessment data for: 1. Bio-Pd+PM neo-catalyst production 2. commercial catalyst production 3. heavy oil and pyrolysis bio-oil upgrading with Ni-Mo/Al2O3 commercial catalyst 4. heavy oil and pyrolysis oils (from wood and algae) production 5. heavy oil and pyrolysis bio-oil upgrading with 2-percent and 6-percent Bio-Pd+PM neo-catalyst , respectively, using 50-percent aqua regia leachate 6. heavy oil and pyrolysis bio-oil upgrading with 2-percent and 6-percent Bio-Pd+PM neo-catalyst , respectively, using 25-percent aqua regia leachate 7. heavy oil and pyrolysis bio-oil upgrading with 2-percent Bio-Pd+PM neo-catalyst, using 25-percent aqua regia leachate Impact categories assessed were abiotic depletion (fossil fuels), global warming potential, ozone layer depletion, human toxicity, acidification potential and eutrophication potential. The collection of datasets also includes economic analysis data. These data were collected as part of NERC-funded grant 'Beyond biorecovery: environmental win-win by biorefining of metallic wastes into new functional materials (B3)' which was part of the Resource Recovery from Waste programme.

  • Agilent gene expression microarrays (Bham Chlamydomonas reinhardtii Agilent-029192 15k v1) were used to profile transcriptional changes afeter exposure of Chlamydomonas reinardtii algae to cerium dioxide nanoparticles. The data are generated from NERC-funding but not held by EIDC. This data is held by ArrayExpress with accession reference E-MTAB-2454.

  • Growth rate dataset - contains the responses of growth rates of 6 phytoplankton species, together and in pairs at 5 temperatures, 13 phosphate concentrations and with 3 replicates N.B: This data is NERC-funded but not held by the EIDC. This data is archived in Zenodo.org and can be accessed at at https://zenodo.org/record/1161963#.XK8E_KTTXcv Publication date: 27th March 2018

  • Genotype-by-sequencing and chloroplast genome sequencing were carried out for 192 accessions of wild and landrace wheat accessions. This produced 10 nuclear DNA sequences, each 10-20 kb in length, and one 80 kb chloroplast DNA sequence, from each of 192 accessions of wild or domesticated emmer wheat. NB The data are stored in the European Nucleotide Archive (ENA) with accession number Study PRJEB42105 ena-STUDY-UOM-23-08-2017-14:32:05:787-517 and can be accessed at https://www.ebi.ac.uk/ena/browser/view/PRJEB42105