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nonGeographicDataset

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  • The dataset describes the functional effects traits derived for 57 taxonomic units (species, genus and family level classifications) of oilseed rape insect pollinators. This data provides information on both morphological and behavioural traits, typically at the species level, but also at a generic and functional group level. Data acquisition was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 Achieving Sustainable Agricultural Systems (ASSIST). ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/f09a0ada-b5c6-4dd9-9c7b-2fed23ab79b1

  • This dataset includes data collected during two related experiments measuring nitrogen (N), phosphorus (P) in roots and shoots. The measurements enable functional studies of natural communities of arbuscular mycorrhizal (AM) mycelia in soil. The experiment was carried out at the University of Sheffield using soil from the NERC Soil Biodiversity site at Sourhope in Scotland. The work was 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. During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/88515edc-bea4-4713-b518-d91d8bfcc03b

  • Data comprise a compilation of quality-controlled biological half-life values (and associated information) from a literature review for animals (mainly farm livestock) which contribute to the human food chain. The dataset contains almost 650 entries for 12 animal types (cattle, sheep, goats, deer, geese, hens, horses, pigs, rabbits, camels, ducks and red grouse) of importance to the human food chain for 32 elements relevant to radiological protection. Entries include values for milk, muscle (meat), eggs, whole body, carcass and various tissues (e.g. liver and kidney); the number of entries available for each element/food-chain product combination is highly variable. The dataset also contains values for other sample types (e.g. urine, faeces etc.) that are not associated with the human food but are presented as the data appeared in the same source reference as those values for human food chain products and they may be useful for modelling purposes. All the source references consulted during the review are provided. The study was conducted as part of the CONFIDENCE project which is part of the CONCERT EJP, which receives funding from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 662287. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/d26ea56a-a692-427c-8f5a-a9bb6eb7da6b

  • This dataset was generated from a laboratory experiment investigating the toxicity of Zinc oxide nanoparticles and non-nanoparticles to the earthworm Eisenia andrei. The experiment followed the OECD protocol 222 OECD guideline for testing of chemicals Earthworm reproduction test (Eisenia fetida/andrei) 2004. Earthworms, Eisenia andrei, were exposed to Zinc oxide particles and nanoparticles, as well as an ionic reference, Zinc chloride, in soil for 28 days after which survival, reproduction and weight change were measured to assess the toxicity of the different zinc compounds. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/47644e3d-3abf-4fa2-9b82-991031f18b0b

  • 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 https://doi.org/10.5285/cb0d7a37-45c5-4645-b5ef-ba097d92fc20

  • Empirical and modelled data from a model investigation into the consequences of nitrogen (N) deposition and nutrient manipulation on carbon (C) and nutrient cycling in phosphorus (P)-limited grasslands. Empirical data show above-ground biomass C, soil organic C and total soil N from two grassland types at Wardlow Hay Cop in the Peak District national park, UK. Wardlow is a long-term nutrient manipulation experiment (> 25 years) investigating the consequences of N deposition on grassland ecosystems. These data were collected during the summer of 2019 and were combined with total soil P data collected previously to form a dataset for inclusion in a CNP biogeochemical cycling model; N14CP. We use these empirical data to drive and calibrate the N14CP model in order to develop our understanding of the C, N and P dynamics of the two grasslands. Specifically, we investigate how potential differences in organic P cycling between the two grassland types may explain their contrasting responses to long-term N deposition and further experimental treatments. Accordingly, the bulk of this dataset is modelled data derived from the empirical data, and relates to the responses of plant C, soil C, N and P to N deposition and nutrient manipulation. This includes data on the CNP budgets of the modelled grasslands, P-cycling parameters used within the model, comparisons of empirical to modelled data, and changes in CNP pools resulting from N deposition and nutrient manipulation. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/98b473c7-3ca9-498d-a851-31152b1f1da7

  • This dataset contains genotypes (in three digit-format) for unique clones of the freshwater bryozoan species Cristatella mucedo and Fredericella sultana at microsatellite loci and representing sampling sites across the UK. Cristatella mucedo data additionally covers Northern Ireland. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/9d63e68b-2499-40fb-b05b-4fa2a55399fc

  • This dataset contains the results of a laboratory study investigating the dissolution of UO3•nH2O particles in dynamic sediment/groundwater column systems, representative of the shallow subsurface at the Sellafield Ltd. site, UK. Measurements were carried out to determine the extent of uranic particle dissolution and the speciation of dissolved uranium within the columns under contrasting biogeochemical conditions (oxic and electron-donor amended). Columns effluents were analysed periodically for key biogeochemical indicators (nitrate, sulfate) and trace metals (iron, manganese, uranium) and systems were sacrificed after 6 and 12 months of groundwater flow. Upon sacrifice, columns were cross-sectioned, and the sediment structure preserved for synchrotron micro-focus X-ray Fluorescence (XRF) mapping, and uranium L-edge X-ray Absorption Spectroscopy (XAS) measurements. Sub-samples of column sediments were also analysed for acid extractable metals, microbial abundance and classification and bioavailable Fe(II) concentrations. Experiments were performed between March 2016 and March 2017. Subsequent analyses were performed between March 2017 and December 2018. This data was collected as part of the project: Understanding radioactive ‘hot’ particle evolution in the environment funded by the UK Natural Environment Research Council (grant NE/M014088/1). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/2702e1b0-13df-4ae4-9f91-4ac4bd07bbf1

  • This dataset is part of the study of mimetic host shifts in an endangered social parasite of ants, which is a joint study of the NERC's Centre for Ecology & Hydrology(UK), the University of Oxford(UK), University of Bialystok(Poland), Polish Academy of Sciences(Poland) and UFZ Helmholtz Centre for Environmental Research(Germany). Combined with datasets collected from previous study, they compare the proportions of caterpillars of Maculinea rebeli being adopted by resident Myrmica ant species near Przemysl, Poland in autumn with proportions of successful survivors the following summer to establish host specificity of the socially parasitic butterfly species. The data comprise: the study year, the ant species, total number of ant nest, the number of caterpillar survivors found in the nest of each ant species, number of nests with caterpillar presence and total number of nests without caterpillar presence. They were obtained from one population for 4 years(Y2001, Y2003, Y2004, Y2005). Detailed research method can be found in Thomas et al. (2013) Mimetic host shifts in an endangered social parasite of ants. Proc. R. Soc. B vol. 280 no.1751. (doi: 10.1098/rspb.2012.2336) Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/b472d635-d8fa-4c39-acfe-2b285ca0b9a8

  • This dataset derives from cross-over experiments using ant worker rescue behaviour towards caterpillars of the socially parasitic butterfly from two host-ecotypes. The data comprise datasets collected from four 4 experiments 3 hours after testing and from 4 experiments 7 days later. They all include nest numbers, the order of retrieval ranked by the attention of nurse ants to the ant pupae, large larvae and small larvae and the adult Maculinea rebeli. The data give the rank order of test items as they were rescued in order to explain social status achieved in natural and unnatural host colonies. This dataset is part of the study of mimetic host shifts in an endangered social parasite of ants, which is a joint study of the NERC's Centre for Ecology & Hydrology (UK), the University of Oxford (UK), University of Bialystok (Poland), Polish Academy of Sciences (Poland) and UFZ Helmholtz Centre for Environmental Research (Germany). Detailed research method can be found in Thomas et al. (2012) Mimetic host shifts in an endangered social parasite of ants. Proc. R. Soc. B vol. 280 no.1751. (http://doi.org/10.1098/rspb.2012.2336) Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/d6a8bc3d-b6fb-47bc-a693-612e2454cf50