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The Griffindale University research beacons are examples of pioneering discoveries, interdisciplinary collaboration and cross-sector partnerships that are tackling some of the biggest questions facing the planet.

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1970
2023
1970 2023
14010 results
  • Polymyxin analogues
    Polymyxin analogues collected from ChEMBL and literature
    • Tabular Data
    • Dataset
  • Effect of oral contraception on screening test for primary aldosteronism
    Supplementary data for jc.2022-02559: Effect of oral contraception on screening tests for primary aldosteronism: a 10-year longitudinal study
    • Dataset
    • Text
  • Therapy Dogs and School Well-Being: A Qualitative Study
    Data extracted through a qualitative questionnaire about the impacts and important implementation factors for implementing therapy dog AAIs for students in K-12 school settings.
    • Dataset
    • File Set
  • Data and Code for "Institutional Investors, Heterogeneous Benchmarks and the Comovement of Asset Prices"
    Data and code used for the empirical analysis in the article "Institutional Investors, Heterogeneous Benchmarks and the Comovement of Asset Prices" which is published at the Journal of Financial Economics. We construct a time-series of total assets associated with prospectus primary benchmarks and with Morningstar categories using the Open-end Mutual Funds Database obtained form Morningstar Direct. Our sample includes all US actively managed equity mutual funds from March 1980 to May 2021. For each fund in every month of the sample we collect data on the total assets across all share classes, the primary prospectus benchmark, the FTSE-Russell benchmark (assigned by Morningstar), and the Morningstar category. Based on the Morningstar category, we group funds into three categories: cap-style, industry-sector, and international. For each of the nine cap-style segments, we aggregate fund benchmarks from six leading index providers (CRSP, Dow Jones, Morningstar, MSCI, Russell, and Standard & Poor’s). For the empirical analysis in Section 8, we also use the time-series of daily returns of the State Street SPDR ETFs that track the nine cap-style segments (SPY, SPYV, SPYG, MDY, MDYV, MDYG, SLY, SLYV, SLYG) since the inception of each ETF (SPY, February 1993; MDY, May 1995; SPYV, SPYG, SLYV, SLYG, October 2000; SLY, MDYV, MDYG, November 2005). For more details, see Appendix A of the article.
    • Dataset
    • File Set
  • Data for the article: "Use of an L-band radiometer for proximal moisture measurement in road construction"
    This dataset is used to retrieve soil moisture information using observations from an L-band passive microwave radiometer for two typical road construction materials, sand subgrade and Unbound Granular Material (UGM) subbase/ base. This dataset includes: - Observed brightness temperatures (TB) from the L-band radiometer. - Recorded soil moisture and temperature from Stevens HydraProbe soil moisture sensors and temperature sensors. - Measured surface height from laser profiler. - Measured soil moisture from traditional methods: The thermogravimetric ring for sand and Nuclear Density Gauge (NDG) for UGM. These data can be used as input to a Passive Microwave Emission Model to retrieve soil moisture information. L-band radiometer was used to provide observed TB from the soil surface at different incidence angles, a laser profiler provided the roughness information, and Stevens HydraProbe soil moisture sensors and temperature sensors were used to obtain the vertical distribution of the soil temperature. These parameters together with soil texture, bulk density information, and a first guess of soil moisture were used as input to the forward model to predict the soil surface TB. The best estimate of soil moisture was then inverted using an iterative method to minimize a cost function (CF) calculated from the differences between observed and simulated TB. The Dobson dielectric mixing model was adopted for the sand subgrade and UGM subbase/ base. The moisture content of the soil was measured using the traditional technique at targeted locations to validate results from the model.
    • Dataset
    • File Set
  • IPF multi-omics datasets
    Metabolomics and lipidomics datasets of IPF and NDC apex and base lung explants.
    • Dataset
    • Text
  • Mobile mono-copper active site for NO catalytic decomposition in high silica LTA zeolite
    This dataset discloses the input files and optimised configurations associated with the entitled study.
    • Other
    • Geospatial Data
    • Sequencing Data
    • Dataset
  • Wavelet-based fuzzy clustering of interval time series - Supplementary Material
    Supplementary material for the manuscript "Wavelet-based fuzzy clustering of interval time series". This includes additional figures and tables referred to in the manuscript as well as details of scripts and data files used for the simulation studies and the application. All scripts are in .R format and data files are is in EXCEL (. xlsx) format.
    • Software/Code
    • Tabular Data
    • Dataset
    • Document
  • Large Grid of 1D X-ray Burst Models with MCMC Sample Chains
    This dataset contains the primary data used in: "Multi-epoch X-ray burst modelling: MCMC with large grids of 1D simulations", Johnston et al. (2020). In this work, we interpolated and sampled a grid of 3840 KEPLER burst models using Markov Chain Monte Carlo (MCMC) methods to produce posterior distributions for the system parameters of the "Clocked Burster", GS 1826-238. Provided here is the full burst model grid and the raw MCMC sample chains. More details on the files, and how to load them, are provided in README.md
    • Software/Code
    • Dataset
    • Text
    • File Set
  • Melioidosis Project 2021: Systematic Review of Case Reports 2016-2021 Dataset
    • Dataset
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