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  • Dataset
    The associated project for this dataset looks at understanding the aggregation of nanoparticles through computational simulations in magnetorheological dampers and other nano-scale applications.
    The dataset itself contains a mixture of data input files for ANSYS-Fluent in the form of WPBJ files (Workbench project files for ANSYS-Fluent, CAS files (Case files for ANSYS-Fluent) and C files (User Defined Function files for ANSYS-Fluent). Data output files in the form of DAT files contain values such as X, Y, Z positions, velocity, temperature, density, viscosity, specific heat of constant pressure.
    The dataset covers the period January 2017 to December 2018.

  • Dataset
    The associated project aims to understand how acoustic loads are generated in supersonic combustion ramjets (scramjets) to control sonic fatigue in reusable hypersonic vehicles.

    This knowledge promises to revolutionise flight by making space access more affordable than it is today. In this project, three aspects of flow phenomena commonly encountered in scramjet engines are being studied – shock/turbulence interaction, fuel injection in a cold supersonic cross-stream and shock/boundary layer interaction for both rigid and compliant surfaces. The intended outcomes include a better understanding of the processes above and construction of an experimental database to validate predictive simulation models that will enable the design of flight-weight reusable hypersonic vehicles. Benefits include reduced cost for access to space and the ability to design and develop advanced aerospace technology.

    This dataset contains

    • (1) raw high-speed video and image files (.mcf)
    • (2) raw pressure transducer data files (.bin from PCB sensors)
    Complete information on the datasets can be found in the following publications:

  • Dataset
    The associated research project is concerned with the on-going fundamental research of flow induced noise from square, wall mounted cylinders. This dataset provides both experimental and numerical data concerned with the flow field and acoustic radiation from finite wall mounted square cylinders. The cylinders have a wide variety of aspect ratios and are mounted on a flat plate at the exit of an anechoic wind tunnel. Hot-wire anemometry data as well as acoustic data are available. These data are in the format of MATLAB .mat and .m files, as well as raw data files from the data acquisition system. In addition to the experimental data, numerical data of a selected number of test cases are provided. These are ANSYS Fluent files and MATLAB .m and .mat files. Complete details of the experiments and simulations can be found in the following publications: Porteous, R., Moreau, D. J., & Doolan, C. J. (2017). The aeroacoustics of finite wall-mounted square cylinders. Journal of Fluid Mechanics, 832, 287-328. Yauwenas, Y., Porteous, R., Moreau, D. J., & Doolan, C. J. (2019). The effect of aspect ratio on the wake structure of finite wall-mounted square cylinders. Journal of Fluid Mechanics, 875, 929-960. Dataset is composed of: a. .dat raw data files b. .jpg images c. .mat MATLAB data d. .m MATLAB scripts

  • Dataset
    Dataset consists of NMR spectra with integrals, plus excel spreadsheets containing calculations and protein concentrations for the experiments described in the manuscript "AMPK activators have compound and concentration-specific effects on brain metabolism" published in The Journal of Neurochemistry in 2023. The NMR spectra are in Bruker format and are processed with integrals. Each sample has three spectra recorded sequentially; a fully relaxed 1H spectrum, a fully relaxed 13C-decoupled 1H spectrum and a 1H-decoupled 13C NMR spectrum. Control samples (N = 4) are first, followed by 4 samples at EC50 and 4 samples at 10 x EC 50 apart from Metformin which also has an extra 4 intermediate samples. The spreadsheets contain integrals and calculations of values including relaxation compensation factors, protein concentrations and reference to the formate standard at 2 mM.

  • Dataset
    The Earth is warming as a result of increasing greenhouse gas concentrations. About 90% of the additional energy stored in the climate system since the 1950s is in the ocean, with about 60% of the ocean storage in the upper 700 db. Our recent research (Li et al. Accepted 2022) has shown that accurate estimates of the ocean warming require accurate interpolation between the sparse sampling depths of historical profiles. Using a non-linear vertical interpolation scheme (Multiply-Rotated Piecewise Cubic Hermite Interpolating Polynomials, MR-PCHIP) that better approximates the change in temperature with depth results in larger estimates of ocean warming and ocean thermal expansion than a simple but biased estimates using linear interpolation. There are 8 files: Readme.txt, and 7 files corresponding to Figures 1a, 1b, 1c, 1d, 1e, 2 and S1 of Li et al. (2022). These files demonstrate the impact of different vertical interpolation techniques on ocean heat content and steric sea level. Users of the data should cite Li et al. (Accepted 2022)