158 record(s)


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  • This dataset contains sequential biomass harvests from a plant growth experiment carried out under controlled environmental conditions in Sheffield. The experiment was carried out in three parts in 2016 and 2017, and was designed to investigate differences in growth among grasses with the C3 and C4 photosynthetic pathways, and with annual and perennial life histories. Plants were harvested approximately weekly over a period of five weeks. The data include information on the dry biomass of roots and leaves, and the numbers of roots, leaves and shoot branches. Also included is an independent dataset of leaf anatomical characteristics derived from herbarium specimens, which was used to test how mechanical support scales with leaf size. Finally, the data include the phylogenetic relationships among species, which were used in analyses. The work was funded by NERC standard grant NE/N003152/1. Full details about this nonGeographicDataset can be found at

  • This dataset contains calculated breeding success rates for six seabird species from representative colonies on the Isle of May, off the East coast of Scotland. Annual breeding success has been measured as the number of chicks fledged per active nest for the Atlantic puffin (Fratercula arctica, since 1982), common guillemot (Uria aalge, since 1982), razorbill (Alca torda, since 1982), European shag (Phalacrocorax aristotelis, since 1987), black-legged kittiwake (Rissa tridactyla, since 1987) and northern fulmar (Fulmarus glacialis, since 1987). The number of active nests recorded are also provided. Data were collected as part of the Isle of May long-term study (IMLOTS), which aims to identify the impact of environmental change on seabirds and their associated ecosystems. This monitoring has been ongoing since 1974, by essentially the same team of scientists, using the same well-documented methods throughout this time. Full details about this dataset can be found at

  • [This dataset is embargoed until November 1, 2020]. This data set includes longitudinal occurrence of bird species at 36 forest plots – half of which burned during the 2015-16 El Niño drought – distributed across a gradient of prior human disturbance in the Brazilian Amazon. Data was collected in 2010 and 2016 (around 6 years before, and one year after the 2015-16 El Niño, respectively) as part of the projects ‘Assessing ENSO-induced Fire Impacts in tropical Rainforest Ecosystems’ (AFIRE) and ‘Biodiversity and Ecosystem Functioning in degraded and recovering Amazonian and Atlantic Forests’ (ECOFOR), within the NERC Human-Modified Tropical Forest (HTMF) programme. Full details about this dataset can be found at

  • This dataset gives axiophyte score for plants in Great Britain, based on Botanical Society of Britain and Ireland (BSBI) published lists of axiophytes for 24 counties in Great Britain. Axiophytes have been defined as 'worthy plants', that is, species that are indicative of high quality habitat within a particular region. This information product takes the county lists that were available in May 2016, and summarises the data in order to produce national (i.e. Great Britain) level scores of 'axiophyte-ness'; that is, the extent to which a species has been selected as a good indicator of high quality habitat where it occurs. This meta-list of axiophytes will be updated in the future as more county-level lists become available. 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

  • The data comprise a long-term study of alpine plant community dynamics in the Gunnison National Forest of Colorado. The data comprise annual census data for all plants (including seedlings) in each of 50 2x2m plots, including information on size, reproduction, life stage, and mortality, with all plants identified and geo-located. These data are also made available transformed to provide individual-level estimates of growth, survival, fecundity, and recruitment. The dataset covers several thousand individuals of approximately twenty species, and highlights an apparent pattern of demographic decline. The data also include information on microenvironment / microedaphic variation at 2 m resolution covering the entire research site, including information on temperatures, topography, soil chemistry, soil texture, and other variables. The data also include information on the functional traits of many of the species present at the site, including information on biomass allocation, leaf traits, root traits, seed traits, and floral traits. Full details about this dataset can be found at

  • [This dataset is embargoed until December 1, 2021]. This dataset contains terrestrial fluxes of nitrous oxide (N2O), methane (CH4) and ecosystem respiration (carbon dioxide (CO2)) calculated from static chamber measurements in mature oil palm plantations on mineral soil, managed by Sinar Mas Agro Resources and Technology Research Institute (SMARTRI) and located on the Ujung Tanjung Estate in Riau, Sumatra, Indonesia. Measurements were made monthly, from October 2018 until September 2019. A total of 54 static chambers were installed across nine plots, representing three different understory vegetation treatments: normal complexity (an intermediate-level of understory spraying with herbicide); reduced complexity (spraying of all understory vegetation with herbicides); and enhanced complexity (no herbicide spraying and limited understory cutting). Six chambers were installed in each of the nine plots, resulting in 18 replicates of each treatment. In addition, soil moisture measurements were also taken around each chamber. The dataset was associated with a foreign research permit, issued by Foreign Research Permit Division Ministry of Research and Technology/National Research and Innovation Agency, Indonesia. As the project spanned two years it was covered by two permits, RISTEK permit number: 323/SIP/FRP/E5/Dit.KI/X/2018 and RISTEK permit number: 8B/TKPIPA/E5/Dit.KI/VIII/2019. Full details about this dataset can be found at

  • Data comprises of the uptake of the plant nutrient phosphorus (P) by seven common and often co-occurring herbaceous plants grown in limestone grassland soil in pots. P uptake is from one of three different sources of P that were injected into the soil, with the P sources being labelled with radio-isotope 33P, such that uptake of this could be quantified by assessing the radioactivity of the plant tissue. The plant species were grown in pots as monocultures, and as mixed communities containing all seven species. The 33P labelled P sources that were injected into the soil were orthophosphate, DNA and calcium phosphate. Assessment of the amount of 33P taken up was undertaken by harvesting and analysing plant shoots six days after the 33P source was injected into the soil. The datasets contain biomass of the harvested plant material, its radioactivity as assessed by scintillation counting, and the calculated proportion of the 33P supplied that was taken up into plant shoots. The data also contains % cover abundance values of the plant species from surveys undertaken at Wardlow Hay Cop, the limestone grassland from where the soil was sourced on which the plants were grown for the 33P addition study. Full details about this dataset can be found at

  • The data are the habitat association (phi coefficient of association) of ground beetles (Carabidae) in Great Britain. The analysis used all 100 m carabid records from the NBN Atlas website for the analysis. The habitats are those from the CEH Land Cover Map 2015 (LCM2015) and for each beetle species each habitat has a score between 1 and -1 representing association through to disassociation and a p-value giving significance of the association score. The recommended output shows habitat weighted analysis using an absence threshold of fourteen other species. Five other versions are also provided, with thresholds of seven and 28 and the unweighted versions of the analysis, to allow the user to ascertain for themselves confidence in the association of a habitat to a species. Full details about this dataset can be found at

  • This dataset includes: biomass data for roots, shoots and litter in soil core samples, vegetation species abundance data for sampled soil blocks, and soil profile descriptions (horizon types & depths) with corresponding pH and moisture content values by horizon for soil blocks. All data were collected during a joint sampling event, held at Sourhope, Scotland, where co-ordinated sampling took place on the 27-28th July 2000 involving groups from within the NERC Soil Biodiversity Programme. A single block of soil was extracted from each of the sub-plots ('S' 'T' 'U' 'V') from within each of the main-plots (excluding Control 2 plots) at the field experiment site (see supporting information), and various baseline measurements were recorded. The soil blocks were divided up and sub-samples given to groups participating in the co-ordinated sampling, providing a range of information covering various aspects of soil research that can be linked to the same point in time and space. The NERC Soil Biodiversity Thematic Programme 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)'s farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963). During this time, the site was monitored to assess changes in aboveground biomass production (productivity), species composition and relative abundance (diversity). Full details about this dataset can be found at

  • [THIS DATASET HAS BEEN WITHDRAWN]. This dataset includes measurements of annual growth of the higher plant species in the experimental plots at the Climoor field site in the Clocaenog Forest, NE Wales. Years include 1999, 2000, 2001, 2003, 2004, 2006, 2007, 2008 and 2009, and in each the measurements were taken in August (at a time of maximum veteative growth at the site). Data include maximum shoot elongation, leading shoot length, and number of flowers, leaves and branches. Full details about this dataset can be found at