University of Bristol
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The data are magnesium (Mg) isotope composition, i.e. the relative difference of isotope ratios as defined in Coplen (2011, doi: 10.1002/rcm.5129). The reference was DSM-3 (see Galy et al., 2003, doi: 10.1039/b309273a) and data are given in per mil. Samples consisted of terrestrial peridotites and basalts as well as a suite of meteorites including chondrites, shergottites, diogenites and one angrite. A large portion of the data have been published in Hin et al. (2017, doi: 10.1038/nature23899).
This dataset contains over 4000 faecally-contaminated environmental samples collected over 2 years across 53 dairy farms in England. The samples were analysed for E. coli resistance to amoxicillin, streptomycin, cefalexin, tetracycline and ciprofloxacin and detection of resistant strains is presented in the dataset as a binary result, along with mechanisms of resistance to third generation cephalosporins where relevant. In addition there is comprehensive farm management data including antibiotic usage data. Full details about this dataset can be found at https://doi.org/10.5285/c9bc537a-d1c5-43a0-b146-42c25d4e8160
This dataset consists of faecally-contaminated samples taken from the environment around pre-weaned calves on 51 farms in South-West England during 2017/2018 and is a subset of a larger dataset investigating antibiotic resistance in E. coli across 53 farms. The samples were analysed for presence of E. coli resistant to amoxicillin, streptomycin, cephalexin, tetracycline and/or ciprofloxacin. Management factors deemed related to pre-weaned calves are included, including antibiotic usage data at farm level. Full details about this dataset can be found at https://doi.org/10.5285/808b2b62-14db-4483-b0e6-5f533c007eec
This dataset represents a cohort of heifers followed from birth to 18 months or first pregnancy on 37 farms in the South West of England. Faecally-contaminated environmental samples were collected over 2 years and the samples analysed for E. coli resistance to amoxicillin, cefalexin and tetracycline with detection of resistant strains presented in the dataset as a binary result. Farm-level antibiotic usage data is also given. Full details about this dataset can be found at https://doi.org/10.5285/7c3ad803-fbd4-45c3-826b-fa04c902ded8
The resource consists of cartesian coordinates, expressed in units of pixels for groups of eight individual fish, swimming in a shoal. The fish were filmed from above with a high resolution video camera. The data were generated from the images and video using automated two-dimensional tracking software. A food stimulus delivering a single food reward was presented six times per trial. The data were collected between July and August 2017 in a controlled fish laboratory at the University of Bristol by the data authors. The data were collected to test the effects of group behaviour in fish shoals on foraging performance. There are instances where one or more fish in a frame could not be tracked. Where such instances occur are indicated in the data files. The research was funded through NERC grant NE/P012639/1 Hunger and knowledge: foraging decisions in an uncertain and social world All procedures regarding the use of animals in research followed United Kingdom guidelines and were approved by the University of Bristol Ethical Review Group (UIN UB/17/060). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/08305a43-79b5-432f-ad20-2ddffe0d1077
This dataset provides 100 model realisations of daily river flow in cubic metres per second (m3/s) for 1,366 catchments, for the period 1962 to 2015. The dataset is model output from the DECIPHeR hydrological model driven by observed climate data (CEH-GEAR rainfall and CHESS-PE potential evapotranspiration). The modelled catchments correspond to locations of National River Flow Archive (NRFA) gauging stations and provide good spatial coverage across the UK. The dataset was produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity) to provide national scale probabilistic flow simulations and predictions for UK drought risk analysis. MaRIUS was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity. Full details about this dataset can be found at https://doi.org/10.5285/d770b12a-3824-4e40-8da1-930cf9470858
The resource consists of cartesian coordinates, expressed in units of pixels, for fish swimming individually, in groups of six individuals, and in groups of six individuals while presented repeatedly with a food stimulus delivering two food items until satiation. The fish were filmed from above with a high resolution video camera. The data were generated from the images and video using automated two-dimensional tracking software. The data were collected between September 2019 and March 2020 in a controlled fish laboratory at the University of Bristol by the data authors. The data were collected to test how individual temperament and the acquisition of knowledge and satiation interact when animals make foraging decisions in groups. There are instances where one or more fish in a frame could not be tracked. Where such instances occur are indicated in the data files. The research was funded through NERC grant NE/P012639/1 Hunger and knowledge: foraging decisions in an uncertain and social world. All procedures regarding the use of animals in research followed United Kingdom guidelines and were approved by the University of Bristol Ethical Review Group (UIN UB/17/060). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/26f045c3-946b-4115-baf1-defb19bdba42
This data set contains 119 unwrapped and geocoded inteferograms derived from Cosmo-SkyMed (CSK) SAR scenes aquired over the Northen Main Ethiopian Rift between June 2014 and December 2015. This data set also contains displacement time series derived from processed CSK and Sentinel-1 inteferograms at the locations specified in the accompanying README files
Hazards data in Sichuan (Dechang, Anning River catchment), China. Data include rainfall, earthquake, river catchment, boundary, geological map, soil map, land-cover map, road-map, DEM.
The project aim was to develop process-based computer simulations of the dispersal of Homo erectus out of Africa. This involved developing realistic constraints on the patterns of vegetation and the effects of changes in global sea level. It was assumed that this migration out of Africa could be investigated through the paradigm of a single migration event, starting around 2 millions of years ago and arriving in Dmanisi around 1.8 millions of years ago. The data archived here consists of the vegetation patterns used in constructing the simulations and the patterns of climate variability used to constrain the variations in sea level and vegetation change. From these data it is possible to reproduce the simulation results. Simulation results are available from J.K. Hughes, A. Haywood, S.J. Mithen, B.W. Sellwood, P.J. Valdes (In Press) Investigating Early Hominin Dispersal Patterns : developing a framework for climate data integration. Journal Of Human Evolution.