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 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

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

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

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 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

This dataset presents taxonomic data, and neuropil volume measurements of sensory structures in the brains of wild caught ithomiini butterflies (Lepidoptera, Nymphalidae, Danainae), within a single community in Yasuní national park, Orellana Province, Ecuador, collected in 2011-2012. Variables measured include taxonomic detail, sex, mimicry ring, and the volumes of major sensory neuropils (the medulla, lobula plate, lobula, ventral lobula, accessory medulla, antennal lobe and anterior optic tubercule) and the central brain volume. This dataset was created to examine how sensory environments shape investment in sensory brain centers in butterflies, as part of a NERC Independent Research Fellowship NE/N014936/1. Full details about this dataset can be found at https://doi.org/10.5285/8056bba1-8370-4d2b-b537-018c79c8acb0

This dataset contains taxanomic and neuropil volume measurements of wild caught heliconiine butterflies, as well as kenyon cell and synapse counts in the mushroom body calyx of insectory -reared heliconiine butterflies. Wild caught butterflies were sampled from five locations in Central and South America between 2012 and 2016. Locations included Costa Rica, Panama, French Guiana, Ecuador, and Peru. These locations covered a range of habitats from dry to wet forest, at elevations from sea level to 2500m. Interspecific data from wild caught individuals include identification to a species level, sex, and body size, as well as volume measurements of the mushroom body structures, central brain, medulla, and antennal lobe. Measurements of mushroom body calyx volume, and estimates of Kenyon cell and synapse counts are included for six species of insectary-reared adult heliconiine butterflies (Agraulis vanilla, dryas iulia, eueides Isabella, heliconius melpmonene, heliconius Hortense, heliconius hecale). Two species (dryas iulia, heliconius charthonia) were also sampled for microglomeruli counts. This dataset was created as part of a NERC Independent Research Fellowship NE/N014936/1, to analyse the evolutionary expansions in mushroom body size in Heliconius butterflies, compared to their closest relatives. Full details about this dataset can be found at https://doi.org/10.5285/de62eff7-6ea4-44d7-a015-2eb9b25cf882

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