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37 results for “model geometry”
Radiance data for "Systematic Comparison of Vectorial Spherical Radiative Transfer Models in Limb Scattering Geometry" by Zawada et al.
<p>Radiance data for "Systematic Comparison of Vectorial Spherical Radiative Transfer Models in Limb Scattering Geometry" by Zawada et al. which is to be submitted to Atmospheric Measurement Techniques. </p> <p>A comprehensive inter-comparison of seven radiative transfer models in the limb scattering geometry has been<br> performed. Every model is capable of accounting for polarisation within a fully spherical atmosphere. Three models (GSLS, SASKTRAN-HR, and SCIATRAN) are deterministic, and four models (MYSTIC, SASKTRAN-MC, Siro, and SMART-G)<br> are statistical using the Monte Carlo technique. This dataset consists of the raw radiance data used to perform the intercomparisons, atmospheric input data for the optical properties of the atmosphere, and data specifying the geometry of the test cases.</p> <p>Data is provided in NetCDF4 format with documentation present inside the variable attributes.</p> <p>More detail on the comparison scenarios can be found within the published article. (Link to be added when available).</p>
DocumeNDT stone masonry walls geometry: Photogrammetric models dataset
<p>This repository contains detailed geometric data from six stone masonry walls constructed for an experimental campaign carried out at the laboratory of the Institute for Physical and Information Technologies (ITEFI), from the Spanish National Research Council (CSIC).</p> <p>The data set is structured in 2 levels of folders:<br> - At first level, the 6 folders correspond to the 6 tested stone masonry walls (Wall 1-6).<br> - At second level, for each wall, there are two folders. The first folder contains the photogrammetric model of each wall, e.g., "W1", and a photograph showing the wall. The second folders contains individual photogrammetric models of each stone composing the walls and their exact location within the walls, e.g., "Stone 101".</p> <p>The global coordinates of the general photogrammetry of the wall and the individual photogrammetries of the stones are the same. They can be imported in any viewer and will be correctly located.</p> <p>The geometric data is presented in .obj files that can be imported in any 3D modeling software.</p> <p>Please cite the following related publication:</p> <p>Ortega J, Meersman MFL, Aparicio S, Liébana JC, Martin R, Anaya JJ, Gonzalez M. An automated sonic tomography system for the inspection of historical masonry walls (2023)</p>
Computational modelling of metal soap formation in historical oil paintings: the influence of fatty acid concentration and nucleus geometry on the induced chemo-mechanical damage.
<p>Metal soap formation is one of the most wide-spread degradation mechanisms observed in historical oil paintings, affecting works of art from museum collections worldwide. Metal soaps develop from a chemical reaction between metal ions present in the pigments and saturated fatty acids, which are released by the oil binder. The presence of large metal soap crystals inside paint layers or at the paint surface can be detrimental for the visual appearance of artworks. Moreover, metal soaps can possibly trigger mechanical damage, ultimately resulting in flaking of the paint. This paper departs from a recently proposed computational model to predict chemo-mechanical degradation in historical oil paintings, as presented in Eumelen et al. (J Mech Phys Solids 132:103683, 2019). The model describes metal soap formation and growth, which are phenomena that are driven by the diffusion of saturated fatty acids and proceed by a nucleation process from a crystalline nucleus of small size. This results into a chemically-induced strain in the paint, which may promote crack nucleation and propagation. The proposed model is here used to investigate the effects of saturated fatty acid concentration and initial nucleus geometry on the amount of chemo-mechanical damage generated. Numerical simulations show that both factors have a marginal influence on the growth rate of the metal soap crystal, but play a significant role on the extent of fracture induced in the paint.</p>
Data supporting 'Controls on Greenland moulin geometry and evolution from the Moulin Shape model'
<p>The data included here are MouSh model results generated as part of the following publication: Andrews, L. C., Poinar., K, Trunz, C. (2022). Controls on Greenland moulin geometry and evolution from the Moulin Shape model. The Cryosphere. </p> <p>Nearly all meltwater from glaciers and ice sheets is routed englacially through moulins. Therefore, the geometry and evolution of moulins has the potential to influence subglacial water pressure variations, ice motion, and the runoff hydrograph delivered to the ocean. We develop the Moulin Shape (MouSh) model, a time-evolving model of moulin geometry. MouSh models ice deformation around a moulin using both viscous and elastic rheologies and melting within the moulin through heat dissipation from turbulent water flow, both above and below the water line. We force MouSh with idealized and realistic surface melt inputs. Our results show that variations in surface melt change the geometry of a moulin by approximately 10% daily and over 100% seasonally. These size variations cause observable differences in moulin water storage capacity and moulin water levels compared to a static, cylindrical moulin. Our results suggest that moulins are storage reservoirs for meltwater, with storage capacity and water levels varying over multiple timescales. Representing moulin geometry within subglacial hydrologic models may therefore improve the representation of subglacial pressures, especially over seasonal periods or in regions where overburden pressures are high.</p> <p>These data are also accessible at: https://ubir.buffalo.edu/xmlui/handle/10477/82587</p> <p>The development of the MouSh model was funded by NASA Cryosphere grant 80NSSC19K0054 to Lauren Andrews and Kristin Poinar.</p>
Geometry models of specimens: Micro-CT, Mechanical, and Histological Examination of the Effect of Local Adjuvants on Porcine Cortical Bone Following Intralesional Curettage of Bone Tumors.
<p>Bone samples for micro CT measurements and reconstructed bone geometry from micro CT data.</p>
Data from: Performance characteristics and bluff-body modeling of high-blockage cross-flow turbine arrays with varying rotor geometry
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Data from: Exploiting nozzle geometry to predict resolution in extrusion-based bioprinting: mathematical modelling of a power-law fluid
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Ivrea Geophysical Body (IGB) model geometry
<p>Ivrea Geophysical Body (IGB) model geometry</p> <p>Original publication: Scarponi et al. (2020), Geophys J Int, doi: 10.1093/gji/ggaa263</p> <p>We here provide our reference density model for the Ivrea Geophysical Body (IGB), developed by means of 3D gravity data modelling. The IGB model is defined by a single crustal interface, extending across the study area. <br> The density contrast associated with the interface is +400 kg/m3.</p> <p>Study area (latitude, longitude in degrees):</p> <p>- min longitude: 7.5 E<br> - max longitude: 9.0 E<br> - min latitude: 45.4 N<br> - max latitude: 46.3 N</p> <p>Study area lower left corner in latitude, longitude: <br> - 45.4 N, 7.5 E <br> This point is marked as a red circle in the presented figures, and it is used as the origin for the Cartesian reference frame in kilometres (x[km],y[km]). </p> <p>Files' content:</p> <p>- 3D_IGB_Model_Geometry.txt: <br> <br> ASCII text file containing the model geometry in the format:<br> <br> x[km], y[km], lon[deg], lat[deg], depth[km]<br> <br> The Cartesian reference frame (x[km],y[km]) has its origin in the lower left corner of the study area and extends up to 800 km distance from the origin (the study area is extended on purpose during gravity modelling, to avoid edge effects). Here we report the complete model geometry as extracted from the modelling software (IGMAS+).<br> * The reader should focus only on the study area domain, where gravity data has been measured and modelled! *</p> <p>- 3D_IGB_Reference_Model.fig: <br> <br> MATLAB .fig format file showing a rotatable 3D view of the interface defining the IGB model geometry.</p> <p>- 2D_IGB_CrossSections.png: <br> <br> .png format picture showing East-West oriented vertical cross sections of the IGB model. The view is towards the South across the cross-sections.</p> <p>For any question and/or discussion please contact the authors via email at: matteo.scarponi@unil.ch</p> <p>Best regards,<br> Matteo Scarponi and co-authors</p>
Thermal modeling of subduction zones with prescribed and evolving 2D and 3D slab geometries data
<p>Deforming subduction zone finite element model temperature, velocity, surface and flux field data as reported in the work:</p> <p>N. Sime, C. R. Wilson and P. E. van Keken<br> Thermal modeling of subduction zones with prescribed and evolving 2D and 3D slab geometries.</p>
Load, pressure, rubble pile geometry and video data from model-scale tests on shallow water ice-structure interaction
<p>The data is obtained from model-scale experiments on shallow water ice-structure interaction. During the conducted experiments, a ten-meter wide initially intact ice sheet was pushed against a sloping structure of the same width. As the ice failed against the structure, a grounded rubble pile accumulated in front of it. The structure consisted of ten identical one-meter-wide segments and the horizontal load on each of these segments was measured independently with load cells. These measurements are presented as load-time datasets. The horizontal load acting on the false bottom was measured with load cells and are also presented as load-time datasets. Furthermore, the ice pressure on two of the segments was measured with tactile sensors. These pressure measurements are presented as array-based pressure-time datasets. Video footage filmed from two different video angles is included in the data. In addition, the coordinates of the rubble pile geometries at the end of each experiment are published. The data includes the top and side rubble pile geometries. In total, seven experiments were conducted. The data can be used by researchers, engineers and designers who work with ice structure interaction related issues in order to, for instance, optimize the design of offshore structures, improve ice load predictions or develop future experiments and simulations. A full description of the experimental set-up and the published data is submitted to the journal Data in Brief. </p>
Dataset for High-resolution mantle flow models reveal importance of plate boundary geometry and slab pull forces on generating tectonic plate motions
<p>This repository contains the plugin and dataset used to setup models in the manuscript: "High-resolution mantle flow models reveal importance of plate boundary geometry and slab pull forces on generating tectonic plate motions".</p> <p>The material model plugin used in our models is in the "plugins" folder. The "models" folder contains the reference input parameter file described in the paper. All other model configurations shown in the paper can be obtained by modifying this parameter file. The input files used to set up the models are in the respective folder. Additionally, the Jupyter notebook used to compute residuals of our models is provided in the "scripts" folder.</p> <p> </p>
A novel technique to simulate and characterize a yarn's mechanical behavior based on a geometrical fiber model extracted from micro-CT imaging: geometry and simulation data
<p>This dataset contains the original µCT scan data, the scripts and intermediate results for the generation of the geometrical fiber model, as well as the structural simulation files and their experimental validation data described in the paper <a href="https://journals.sagepub.com/doi/10.1177/00405175221137009">"A novel technique to simulate and characterize a yarn's mechanical behavior based on a geometrical fiber model extracted from micro-CT imaging"</a>, published in Textile Research Journal.</p>
Model data repository of "The role of sediment accretion and buoyancy on subduction dynamics and geometry"
<p>This dataset contains the code and data used in Brizzi et al. (2021): The role of sediment accretion and buoyancy on subduction dynamics and geometry</p>
SIMCor - Demo of TAVI deployment simulations using the virtual geometries and a high-fidelity model
<p>This video demonstrates the feasibility of performing finite element TAVI deployment simulations in the virtual patient geometries generated using the Virtual Cohort Generator. First, the TAVI device is positioned within the aortic root. Then, the device is crimped into the catheter sheath. Afterwards, the contacts between device and aorta are activated and the sheath is removed, resulting in deployment of the device within the aortic root. The principal stresses in the tissue resulting from the implantation are shown.</p>
Limestone spheroid 3D models for: The limestone spheroids of 'Ubeidiya: Intentional imposition of symmetric geometry by early hominins?
<p><span>Spheroids are one of the least understood lithic items yet are one of the most enduring, spanning from the Oldowan to the Middle Palaeolithic. Why and how they were made remains highly debated. We seek to address whether spheroids represent unintentional by-products of percussive tasks or if they were intentionally knapped tools with specific manufacturing goals. We apply novel 3D analysis methods, including spherical harmonics and surface curvature, to 150 limestone spheroids from 'Ubeidiya (c.1.4Ma), presently the earliest Acheulean occurrence outside of Africa, to bring a new perspective to these enigmatic artefacts. We reconstruct the spheroid reduction sequence based on trends in their scar facets and geometry, finding that the spheroid makers at 'Ubeidiya followed a premeditated reduction strategy. During their manufacture, the spheroids do not become smoother, but they become markedly more spherical. They approach an ideal sphere, a feat that likely required a mental template and skilful knapping. Acheulean bifaces are currently thought to represent the earliest evidence of hominins imposing a premeditated, symmetrical shape on stone. With evidence of spheroids occurring before the Acheulean, the intentional production of a sphere-like object now represents the oldest evidence of hominins desiring and achieving intentional geometry and symmetry in stone. </span></p>
Limestone spheroid 3D models for: The limestone spheroids of ‘Ubeidiya: Intentional imposition of symmetric geometry by early hominins?
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Data from: A statistical skull geometry model for children 0-3 years old
Head injury is the leading cause of fatality and long-term disability for children. Pediatric heads change rapidly in both size and shape during growth, especially for children under 3 years old (YO). To accurately assess the head injury risks for children, it is necessary to understand the geometry of the pediatric head and how morphologic features influence injury causation within the 0–3 YO population. In this study, head CT scans from fifty-six 0–3 YO children were used to develop a statistical model of pediatric skull geometry. Geometric features important for injury prediction, including skull size and shape, skull thickness and suture width, along with their variations among the sample population, were quantified through a series of image and statistical analyses. The size and shape of the pediatric skull change significantly with age and head circumference. The skull thickness and suture width vary with age, head circumference and location, which will have important effects on skull stiffness and injury prediction. The statistical geometry model developed in this study can provide a geometrical basis for future development of child anthropomorphic test devices and pediatric head finite element models.
Data for "Multi-scale model of axonal and dendritic polarization by transcranial direct current stimulation in realistic head geometry"
<p>Neural and FEM E-field simulation data generated for Aberra AS, Wang R, Grill WM, Peterchev AV. (2023). "Multi-scale model of axonal and dendritic polarization by transcranial direct current stimulation in realistic head geometry". <i>Brain Stimulation</i>. Dataset includes:</p><ul><li><i>cell_data/ </i>- Coordinates and morphology information for all model neurons</li><li><i>nrn_sim_data/</i> - Polarization data from NEURON simulations for all 25 model neurons included in the study, either in response to uniform E-field or tDCS.</li><li><i>layer_data/ - </i>surface meshes used for placing and orienting neuron models and corresponding sampling grids for CNNs</li><li><i>simnibs/</i> - E-field simulation and head mesh data generated within SimNIBS simulation environment</li></ul><p>To generate figures using these data, use the matlab code stored in the tDCSsim_Aberra2023 repository (https://github.com/Aman-A/tDCSsim_Aberra2023) </p>
Optimised geometries of a number of protonation models.
<p>Optimised geometries in pdb format presented in Fig.S12 of "A novel subgroup of light-driven sodium pumps with an additional Schiff base counterion" paper (https://doi.org/10.1101/2023.10.11.561842).</p>
Dataset for numerical modeling results of "Deciphering the underlying small hydrous plume geometry and surface topography of intraplate volcanoes in Northeast Asia".
<p><span>Dataset for numerical results of "Deciphering the underlying small hydrous plume geometry and surface topography of intraplate volcanoes in Northeast Asia". These data can be used to recreate the figures presented within the manuscript and supporting information.</span></p>
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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.