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4 results for “Image-Based Simulation”
Finite element meshes of graphite foam samples for Image-Based Simulation (IBSim) of experimental laser flash analysis
<p>Image-Based Simulation (IBSim) meshes:<br> Finite element mesh of laser flash analysis (LFA) disc samples made of a graphite foam material (KFoam). The IBSim meshes are generated directly from a 3D volumetric image of a graphite foam block. The 3D image was generated with an X-ray tomography scan performed by Dr Llion Evans with Manchester X-ray Imaging Facility equipment, which was funded in part by the EPSRC (grants EP/F007906/1, EP/F001452/1 and EP/I02249X/1). Segmentation of the data into a binarized image was achieved with ImageJ. Conversion of the segmented data to FE mesh was achieved using ScanIP, part of the Simpleware suite of programmes, version 7 (Synopsys Inc., Mountain View, CA, USA).</p> <p>The graphite foam has anisotropic properties partly due to its microstructure. This dataset contains three meshes, one for each alignment along cartesian axes.</p> <p>The FE meshes use the EnSight Gold file format and may be visualised using Paraview (<a href="https://www.paraview.org">https://www.paraview.org</a>).</p> <p>The CT data used for the mesh is available as a separate dataset:</p> <p>This data was used originally for the following publications (please cite if re-using the data):<br> Ll.M. Evans, L. Margetts, P.D. Lee, C.A.M. Butler, E. Surrey, “Image based in silico characterisation of the effective thermal properties of a graphite foam”, Carbon, Vol. 143, pp. 542-558, 2018. <a href="https://doi.org/10.1016/j.carbon.2018.10.031">https://doi.org/10.1016/j.carbon.2018.10.031</a></p>
Comparison of Point Cloud and Image-based Models for Calorimeter Fast Simulation
<p>A highly granular calorimeter, similar to CALICE is simulated in Geant4. The calorimeters showers are represented as either images or point clouds. Two state-of-the-art score based diffusion models, on image based and the other point cloud based, are trained on the same set of calorimeter simulations and directly compared to each other.<br> <br> These files include the original Geant4 simulation, an intermediate form of the data required for training, and the samples generated by the image and point cloud models.</p>
Monitoring soil surface change under simulated rainfall using image-based 3D reconstruction.
<p>This dataset contains three-dimensional (3D) soil surface information from rainfall simulation experiments in laboratory and field conditions. </p> <ul> <li>3D data are provided as .img rasters contained in the zip file</li> <li>Information pertaining to experimental conditions and treatments are provided as tables in the csv files</li> <li>Table columns are defined in the 3D_Data_Description.pdf file</li> </ul> <p>Notes: Treatment abbreviations in the laboratory experiment are Seep for seepage condition and Drain for drainage condition (See <a href="https://doi.org/10.2136/sssaj2012.0013">doi.org/10.2136/sssaj2012.0013</a>).</p>
Finite element meshes of conceptual designs for a fusion energy heat exchange component (monoblock) for Image-Based Simulation (IBSim) of in-service conditions
<p>Image-Based Simulation (IBSim) mesh and temperature analysis results:<br> Finite element meshes of conceptual designs for a fusion energy heat exchange component (monoblock).</p> <p>The dataset includes three meshes:<br> - CCFE_ThBr_CAD (mesh created by with a computer aided design (CAD) package)<br> - CCFE_ThBr_IBFEM (hybrid CAD and IBSim mesh, manufactured version of CCFE_ThBr_CAD)<br> - IPP_WfCu_IBFEM_3MB (hybrid CAD and IBSim mesh, tungsten fibre-copper matrix composite pipe with tungsten armour)</p> <p>For the the hybrid meshes, the IBSim part is generated directly from a 3D volumetric images of the real manufactured parts and as such includes microscale features introduced during the manufacturing stage. The 3D images were generated with X-ray and neutron tomography, the datasets are available at the links below. Conversion of the data to FE mesh was achieved using ScanIP, part of the Simpleware suite of programmes, version 7 (Synopsys Inc., Mountain View, CA, USA).<br> X-ray CT data: <a href="https://doi.org/10.5281/zenodo.3533420">https://doi.org/10.5281/zenodo.3533420</a><br> Neutron CT data: <a href="https://doi.org/10.5281/zenodo.3533418">https://doi.org/10.5281/zenodo.3533418</a></p> <p>The FE mesh data uses the EnSight Gold file format and may be visualised using Paraview (<a href="https://www.paraview.org">https://www.paraview.org</a>). Results for a thermal analysis performed with ParaFEM (<a href="https://github.com/leemargetts/parafem">https://github.com/leemargetts/parafem</a>) are included.</p> <p>This data was used originally for the following publication (please cite if re-using the data):<br> Ll.M. Evans, T. Minniti, T. Barrett, A. v. Müller, L. Margetts, “Virtual qualification of novel heat exchanger components with the image-based finite element method”, e-Journal of Nondestructive Testing (NDT) ISSN 1435-4934, Issue: 2019-03, No. 23660. <a href="https://www.ndt.net/search/docs.php3?id=23660">https://www.ndt.net/search/docs.php3?id=23660</a></p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.