Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
120
datasets available to search
ShareScore release 0.9.0
Dataset results
120 results for “Finite Element”
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>
Finite element analysis results from simulation of fusion energy heat exchange component: hybrid CAD/IBSim model including a graphite foam interlayer
<p>Temperature profile data from a finite element analysis of a conceptual design for a fusion energy heat exchange component (monoblock). The mesh is a hybrid from a computer aided design (CAD) drawing for the pipe and armour and IBSim for the interlayer. The IBSim interlayer is generated directly from a 3D volumetric image of a graphite foam block (KFoam). 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). 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).</p> <p>The mesh used for the analysis is available as a separate dataset:</p> <p><a href="https://doi.org/10.5281/zenodo.3522319">https://doi.org/10.5281/zenodo.3522319</a></p> <p>This data was used originally for the following publications (please cite if re-using the data):</p> <p>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> <p>Ll.M. Evans, L. Margetts, P.D. Lee, C.A.M. Butler, E. Surrey, “Improving modelling of complex geometries in novel materials using 3D imaging”, Proceedings of NEA International Workshop on Structural Materials for Innovative Nuclear Systems, Manchester, UK, July 2016. <a href="https://www.oecd-nea.org/science/smins4/documents/P1-18_LlME_SMINS4_paper_reviewed.pdf">https://www.oecd-nea.org/science/smins4/documents/P1-18_LlME_SMINS4_paper_reviewed.pdf</a></p>
2D Abaqus finite element model of the climbing drum peel test for fracture toughness and mode mixity determination
<p>Abaqus finite element model files published in connection with the below article:</p> <p>Jespersen, K.M and Toftegaard, H. L. (2023), Mode mixity for the fracture toughness obtained by climbing drum peel tests. Risø symposium 2023. <a href="https://doi.org/10.1088/1757-899X/1293/1/012032">doi.org/10.1088/1757-899X/1293/1/012032</a></p> <p>Uploads include the overall .cae file for Abaqus 2022 and the corresponding .odb (result) and .inp files. Videos showing the deformation of the model are included for the "CDP_mat-GFRP_cracklength-a10_BC-gripped" case.</p>
Dataset for automated image-based generation of finite element models for masonry buildings
<p>This repository contains the dataset used for computing finite element models for masonry buildings via image-based approach. The method that uses this data set was presented in the paper "Automated image-based generation of finite element models for masonry buildings" by Pantoja-Rosero et., al. (2023)" https://doi.org/10.1007/s10518-023-01726-7</p>
Element library for p-refinement for 3D finite element applications
Open the record for dataset details and reuse information.
Finite Element and One Point Fixation
ClinicalTrials.gov study NCT05819372. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Morphological Characteristics of Inferior Pole Patellar Fractures and a Finite Element Analysis Combined with a Retrospective Clinical Study of Anchor Suture and Titanium Cable Cerclage Treatment
ClinicalTrials.gov study NCT06736639. IPD Sharing: YES. Countries: 1. Publications: 1.
Exploring the preservation of a parasitic trace in decapod crustaceans using finite elements analysis
Open the record for dataset details and reuse information.
Data from: Study on mechanical characteristics of conductors with 3D finite element models
Open the record for dataset details and reuse information.
Automated X-ray computer tomography segmentation method for finite element analysis of non-crimp fabrics reinforced composites
<p>Data behind the publications:</p> <p>Auenhammer, R.M., Mikkelsen, L.P., Asp, L., Blinzler, B. Automated X-ray computer tomography segmentation method for finite element analysis of non-crimp fabric reinforced composites. <em>Composite Structures, </em><strong>256</strong>, 113136, <a href="https://doi.org/10.1016/j.compstruct.2020.113136">https://doi.org/10.1016/j.compstruct.2020.113136</a>, 2021.</p> <p>Auenhammer, Robert M., Lars P. Mikkelsen, Leif E. Asp, Brina J. Blinzler, Dataset of non-crimp fabric reinforced composites for an X-ray computer tomography aided engineering process, <em>Data in Brief, </em><strong>33</strong>, 106518, <a href="https://doi.org/10.1016/j.dib.2020.106518">https://doi.org/10.1016/j.dib.2020.106518</a>, 2020.</p> <p>Auenhammer, R.M., L.P. Mikkelsen, L.E. Asp, B.J. Blinzler, X-ray tomography based numerical analysis of stress concentrations in non-crimp fabric reinforced composites - assessment of segmentation methods. <em>IOP Conf. Ser.: Mater. Sci. Eng.</em> <strong>942</strong>, 012038, <a href="https://doi.org/10.1088/1757-899X/942/1/012038">https://doi.org/10.1088/1757-899X/942/1/012038</a>, 2020</p> <p>The data-set contain data from three samples: A, E and G. </p> <p>For each sample the data are saved in the follow format</p> <ul> <li>X-ray scan: nii-files</li> <li>SEM scan: tif-files</li> <li>Abaqus files: inp-files </li> <li>X-ray setting: pdf-files</li> <li>SEM settings: hdr-ascii files</li> </ul> <p> </p>
Data from: Model sensitivity and use of the comparative finite element method in mammalian jaw mechanics: mandible performance in the Gray Wolf
Finite Element Analysis (FEA) is a powerful tool gaining use in studies of biological form and function. This method is particularly conducive to studies of extinct and fossilized organisms, as models can be assigned properties that approximate living tissues. In disciplines where model validation is difficult or impossible, the choice of model parameters and their effects on the results become increasingly important, especially in comparing outputs to infer function. To evaluate the extent to which performance measures are affected by initial model input, we tested the sensitivity of bite force, strain energy, and stress to changes in seven parameters that are required in testing craniodental function with FEA. Simulations were performed on FE models of a Gray Wolf (Canis lupus) mandible. Results showed that unilateral bite force outputs are least affected by the relative ratios of the balancing and working muscles, but only ratios above 0.5 provided balancing-working side joint reaction force relationships that are consistent with experimental data. The constraints modeled at the bite point had the greatest effect on bite force output, but the most appropriate constraint may depend on the study question. Strain energy is least affected by variation in bite point constraint, but larger variations in strain energy values are observed in models with different number of tetrahedral elements, masticatory muscle ratios and muscle subgroups present, and number of material properties. These findings indicate that performance measures are differentially affected by variation in initial model parameters. In the absence of validated input values, FE models can nevertheless provide robust comparisons if these parameters are standardized within a given study to minimize variation that arise during the model-building process. Sensitivity tests incorporated into the study design not only aid in the interpretation of simulation results, but can also provide additional insights on form and function.
Data from: Influences of sodium and glycosaminoglycans on skin edema and the potential for ulceration: a finite element approach
Venous ulcers are chronic transcutaneous wounds common in the lower legs. They are resistant to healing and have a 78% chance of recurrence within two years. It is commonly accepted that venous ulcers are caused by the insufficiency of the calf muscle pump, leading to blood pooling in the lower legs, resulting in inflammation, skin edema, tissue necrosis and eventually skin ulceration. However, the detailed physiological events by which inflammation contributes to wound formation are poorly understood. We therefore sought to develop a model that simulated the inflammation, using it to determine the internal stresses and pressure on the skin that contribute to venous ulcer formation. A three-layer Finite Element skin model (epidermis, dermis and hypodermis) was developed to explore the roles in wound formation of two inflammation identifiers: Glycosaminoglycans (GAGs) and sodium. A series of parametric studies showed that increased GAGs and sodium content lead to edema and increased tissue stresses of 1.5 MPa, which was within the reported range of skin tissue Ultimate Tensile Stress (0.1-40 MPa). These results suggested that both the edema and increased fluid pressure could reach a threshold for tissue damage and eventual ulcer formation. The models presented here provide insights to the pathological events associated with venous insufficiency including inflammation, edema, and skin ulceration.
Data from: Convergence analysis of a finite element skull model of Herpestes javanicus (Carnivora, Mammalia): implications for robust comparative inferences of biomechanical function
Predictions of skull biomechanical capability based on virtual models constitute a valuable data source for testing hypotheses about craniodental form and feeding behavior. Such comparative analyses also inform dietary reconstruction in extinct species. 3D modeling using Finite Element (FE) methods is a common technique applied to the comparative analysis of craniodental function in extinct and extant vertebrates. However, taxonomically diverse skull models in the literature often are not directly comparable to each other, in part because of distinctions in how boundary conditions are defined, but also because of substantial differences in the number of FEs composing the models. In this study, we test whether a conventional convergence test is adequate in identifying the minimum number of FEs needed to achieve internally stable results for a single species. We constructed a series of skull models of Herpestes javanicus, and simulated unilateral biting across the dentition; the models differed in the number of FEs, degrees of freedom at the joint and bite point constraints, and type of tetrahedral FEs used. We found that convergence patterns differed across constraint types, FE quantities, and bite position simulated. Four-noded tetrahedral (tet-4) FE models with relaxed constraints produced the most stable measurements compared to over-constrained tet-4 models and to relaxed tet-10 models. In absence of an optimal FE quantity from convergence testing, we propose a broadly applicable sub-sampling protocol, whereby average measurement values across multiple models per specimen are used for among-species comparisons. A regime of sampling three low FE quantity models produced the closest estimates of mean measurement values relative to larger model sets, being within the 95% bootstrap estimated confidence intervals. Future studies should focus on identifying sources of variation associated with other FE modeling protocols, so that they can be accounted for before biomechanical attributes from these simulations are used to infer form–function linkage.
Design and Analysis of Chiral and Achiral Metasurfaces with the Finite Element Method
Open the record for dataset details and reuse information.
Finite Element Simulations of 2D Bravais lattice family within photonic crystals fabricated on a photopolymer material via three-beam holography
<p>Videos illustrating Finite Element Simulations of 2D Bravais lattice families within photonic crystals fabricated on a photopolymer material through three-beam holography. The two-way diffusion model is used to simulate the photopolymerization process during the recording process and the formation of the diffraction grating. The simulation results are under a CC license. <br><br>Maged Shaban</p>
Pyramid finite elements for discontinuous and continuous discretizations of the neutron diffusion equation with applications to reactor physics
<p>Data statement for named paper</p>
Model codes and data for ``A control volume finite element model for predicting the morphology of cohesive-frictional debris flow deposits"
<p>The code and the dataset can be read/run by using Matlab. The description is as follows:</p> <p>1. Dataset (field_data) includes transect data of three field debris flow deposits from Coussot et al. (1996). The data can be read and calibrated with the analytical solution by the code field_calibration.m.</p> <p>2. Dataset (data_T01-T04, T11-T15_DT) includes experimental fan topography data, calibrated parameters, and simulation outputs. </p> <p>3. Two calibration codes are used for the model parameter calibrations of the two sets of experiments.</p> <p>4. Function aggradation_DT.m is the CVFEM model for simulating fan morphology. Use CVFEM_exp_simulation.m code to run simulations for the experiments.</p>
Evaluation of the Ability of CT-based Finite Element Analysis (CTFEA) to Predict Fractures in Patients With Metastases: a Randomized Controlled Study.
ClinicalTrials.gov study NCT03453905. IPD Sharing: NO. Countries: 0. Publications: 8.
Concordance of Pelvic Organ Mobility Measurements Between the Finite Element Model and the Dynamic Pelvic Floor MRI in Patients Undergoing a Sacrospinofixation Surgery
ClinicalTrials.gov study NCT04551859. IPD Sharing: Not stated. Countries: 0. Publications: 9.
Data from: Model sensitivity and use of the comparative finite element method in mammalian jaw mechanics: mandible performance in the Gray Wolf
Open the record for dataset details and reuse information.
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
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.