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.
908
datasets available to search
ShareScore release 0.9.0
Dataset results
908 results for “MESH”
Pine Island Glacier ice shelf ocean cavity self-consistent spatial discretization mesh
<p>Pine Island Glacier ice shelf ocean cavity<br> ==========================================</p> <p>An unstructured mesh spatial discretisation of the Pine Island Glacier ice shelf ocean cavity.</p> <p>This is stored in an unstructured VTU file defined by the visualisation toolkit VTK [2].</p> <p>A state PVSM file for Paraview [3] is also provided to reproduce visualisations shown in [1]. Note that Paraview requires absolute pathnames, so it may be necessary to edit file references to the VTU file in this state file.</p> <p>Files<br> -----</p> <p>- PineIslandGlacierIceShelfOceanCavity.vtu<br> - PineIslandGlacierIceShelfOceanCavity_grid_quality_analysis.pvsm</p> <p>Author<br> ------</p> <p>- Dr Adam S. Candy <a.s.candy@tudelft.nl>, <candy@cantab.net><br> - Technische Universiteit Delft<br> - Imperial College London</p> <p>References<br> ----------</p> <p>[1] Candy, A.S., 2016. A consistent approach to unstructured mesh generation for geophysical models. In review. Preprint available at https://arxiv.org/abs/1703.08491.</p> <p>[2] The Visualization Toolkit (VTK), version 5.10.1. URL: http://www.vtk.org.</p> <p>[3] Paraview, version 4.3.1. https://www.paraview.org.</p>
Filchner-Ronne ice shelf ocean cavity self-consistent spatial discretization mesh
<p>Filchner-Ronne ice shelf ocean cavity<br> =====================================</p> <p>An unstructured mesh spatial discretisation of the Filchner-Ronne ice shelf ocean cavity and the ice sheet floating above.</p> <p>This is stored in two unstructured VTU files defined by the visualisation toolkit VTK [2].</p> <p>A state PVSM file for Paraview [3] is also provided to reproduce visualisations shown in [1]. Note that Paraview requires absolute pathnames, so it may be necessary to edit file references to the VTU files in this state file.</p> <p>Files<br> -----</p> <p>- FilchnerRonneIceShelfOceanCavity.vtu<br> - FilchnerRonneIceShelfOceanCavity_ice.vtu<br> - FilchnerRonneIceShelfOceanCavity.pvsm</p> <p>Author<br> ------</p> <p>- Dr Adam S. Candy <a.s.candy@tudelft.nl>, <candy@cantab.net><br> - Technische Universiteit Delft<br> - Imperial College London</p> <p>References<br> ----------</p> <p>[1] Candy, A.S., 2016. A consistent approach to unstructured mesh generation for geophysical models. In review. Preprint available at https://arxiv.org/abs/1703.08491.</p> <p>[2] The Visualization Toolkit (VTK), version 5.10.1. URL: http://www.vtk.org.</p> <p>[3] Paraview, version 4.3.1. https://www.paraview.org.</p>
Southern Ocean and Antarctic floating ice sheets self-consistent spatial discretization mesh
<p>Southern Ocean and Antarctic floating ice sheets<br> ================================================</p> <p>An unstructured mesh spatial discretisation of the Southern Ocean and floating ice sheets of Antarctica.</p> <p>This is stored in two unstructured VTU files defined by the visualisation toolkit VTK [2].</p> <p>Five state PVSM file for Paraview [3] are also provided to reproduce visualisations shown in [1]. Note that Paraview requires absolute pathnames, so it may be necessary to edit file references to the VTU files in this state file.</p> <p>Files<br> -----</p> <p>- AntarcticaSouthernOcean.vtu<br> - AntarcticaSouthernOcean_ice.vtu<br> - AntarcticaSouthernOcean.pvsm<br> - AntarcticaSouthernOcean_below.pvsm<br> - AntarcticaSouthernOcean_Ross_FilchnerRonne_cutaway.pvsm<br> - AntarcticaSouthernOcean_Ross_FilchnerRonne_cross_section.pvsm<br> - AntarcticaSouthernOcean_depth_below.pvsm</p> <p>Author<br> ------</p> <p>- Dr Adam S. Candy <a.s.candy@tudelft.nl>, <candy@cantab.net><br> - Technische Universiteit Delft<br> - Imperial College London</p> <p>References<br> ----------</p> <p>[1] Candy, A.S., 2016. A consistent approach to unstructured mesh generation for geophysical models. In review. Preprint available at https://arxiv.org/abs/1703.08491.</p> <p>[2] The Visualization Toolkit (VTK), version 5.10.1. URL: http://www.vtk.org.</p> <p>[3] Paraview, version 4.3.1. https://www.paraview.org.</p>
Berriasian oceans self-consistent spatial discretization mesh
<p>Berriasian oceans<br> =================</p> <p>An unstructured mesh spatial discretisation of the global oceans of the Early Cretaceous Berriasian age.</p> <p>This is stored in an unstructured VTU file defined by the visualisation toolkit VTK [2].</p> <p>A state PVSM file for Paraview [3] is also provided to reproduce visualisations shown in [1]. Note that Paraview requires absolute pathnames, so it may be necessary to edit file references to the VTU file in this state file.</p> <p>Files<br> -----</p> <p>BerriasianOceans.vtu<br> BerriasianOceans.pvsm</p> <p>Author<br> ------</p> <p>Dr Adam S. Candy <a.s.candy@tudelft.nl>, <candy@cantab.net></p> <p>Technische Universiteit Delft<br> Imperial College London</p> <p>References<br> ----------</p> <p>[1] Candy, A.S., 2016. A consistent approach to unstructured mesh generation for geophysical models. In review. Preprint available at https://arxiv.org/abs/1703.08491.</p> <p>[2] The Visualization Toolkit (VTK), version 5.10.1. URL: http://www.vtk.org.</p> <p>[3] Paraview, version 4.3.1. https://www.paraview.org.</p>
Global oceans self-consistent spatial discretization mesh
<p>Global oceans<br> =============</p> <p>An unstructured mesh spatial discretisation of the global oceans.</p> <p>This is stored in an unstructured VTU file defined by the visualisation toolkit VTK [2].</p> <p>A state PVSM file for Paraview [3] is also provided to reproduce visualisations shown in [1]. Note that Paraview requires absolute pathnames, so it may be necessary to edit file references to the VTU file in this state file.</p> <p>Files<br> -----</p> <p>- GlobalOceans.vtu<br> - GlobalOceans.pvsm</p> <p>Author<br> ------</p> <p>- Dr Adam S. Candy <a.s.candy@tudelft.nl>, <candy@cantab.net><br> - Technische Universiteit Delft<br> - Imperial College London</p> <p>References<br> ----------</p> <p>[1] Candy, A.S., 2016. A consistent approach to unstructured mesh generation for geophysical models. In review. Preprint available at https://arxiv.org/abs/1703.08491.<br> [2] The Visualization Toolkit (VTK), version 5.10.1. URL: http://www.vtk.org.<br> [3] Paraview, version 4.3.1. https://www.paraview.org.</p>
Mesh and large input files of SeisSol models of the Kahramanmaraş earthquake doublet published in Jia et al. (2023) and Gabriel et al. (2023)
<div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div>This dataset contains mesh and large input files for SeisSol models of the Kahramanmaraş earthquake doublet, as published in Jia et al. (2023) and Gabriel et al. (2023). The rest of the setup can be found at: <a href="https://github.com/Thomas-Ulrich/Turkey-Syria-Earthquakes/" target="_new" rel="noopener">GitHub - Turkey-Syria Earthquakes</a>. <ul> <li> <p><strong>Turkey78_75_dip70_3</strong>: The mesh file.</p> </li> <li> <p><strong>Turkey78_75_dip70.smd</strong>: The SimModeler file used to generate the mesh.</p> </li> <li> <p><strong>Turkey78_75_dip70_3.xml</strong>: Contains the mesh and analysis attributes required to generate it using PUMGen and SimModelerLib.</p> </li> <li> <p><strong>Turkey78_75_dip70_3.xmdf</strong>: A helper file for opening the mesh in ParaView.</p> </li> <li> <p><strong>StressChange_filt_v7_joint_ASAGI.nc</strong>: The stress change from the kinematic model used in Jia et al.'s simulations.</p> </li> <li> <p><strong>Turkey_31M_o5_el_ev1_2500_s2_05_al065_R056_resampled_stress_change_coarse.nc</strong> and<br><strong>Turkey_31M_o5_el_ev1_2500_s2_05_al065_R056_resampled_stress_change_fine.nc</strong>: These files represent the stress change from the first event for the second event simulation in Jia et al.'s model. They were generated from the output files of the first event simulation, as described here: <a href="https://github.com/Thomas-Ulrich/Turkey-Syria-Earthquakes/tree/main/SeisSolSetupHeterogeneities/asagi_file" target="_new" rel="noopener">SeisSol Setup Heterogeneities - ASAGI Files</a>.</p> </li> </ul> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div>
Numerical data set belonging to: 'A Finite Volume Parallel Adaptive Mesh Refinement Method for Solid-Liquid Phase'
<p>This data set corresponds to the paper 'A Finite Volume Parallel Adaptive Mesh Refinement Method for Solid-Liquid Phase Change', submitted to Numerical Heat Transfer, Part A: Applications. The numerical data is included in VTK format (to be read by paraView) for the following cases:</p><p>1) 2D Gallium melting in a rectangular cavity (70x50 elements, 140x100 elements, 280x200 elements, 560x400 elements, 1120x800 elements and adaptive mesh)</p><p>2) 3D Gallium melting in a hexagonal cavity (adaptive mesh)</p><p>3) 2D freeze-plug (both steady-state and melting transient): 110x300 elements, 220x600 elements, 440x1200 elements and adaptive mesh)</p><p>Due to the size of the data-set, the data has been split over 8 tar archives featuring a gzip compression. To unpack the data, run the command: cat paper_<i>amr</i>_<i>data.</i>tar.gz.* | tar xzvf -</p><p> </p>
Crustal thicknesses, Moho depths and 3-D density anomaly model for GJI paper: Crustal structure of onshore-offshore Atlantic Canada and environs from constrained 3-D gravity inversion using variable mesh depths by J. Kim Welford
<p>The files are provided as ascii text files in terms of both latitudes/longitudes and eastings/northings. For the 3-D density anomaly model, it is provided with columns of x, y, z, and absolute density. The conversions from latitudes/longitudes to eastings/northings for all of the models and maps in this work are computed with ellipsoid WGS-84 and UTM zone 19 using Generic Mapping Tools.</p>
Lekythos All Quad Mesh 1075 Verts
A practice model I made for learning better retopology.  [This](https://sketchfab.com/3d-models/lekythos-7d2b9cbf7e7e421b946750ca463ad4a2) is the source model. The mesh is now made up of all quads and I reduced the polygon count from 435,416 Verts to 1075 Verts. As far as retopo goes, I think it is pretty decent work. Once I retopo'd the models, I baked the color and normal data with cycles. Feel free to use the model. For giving credit, please link to [this user](https://sketchfab.com/3d-models/lekythos-7d2b9cbf7e7e421b946750ca463ad4a2) instead of me. I will make some more retopos if I find a nice model. Cheers! For any business enquiries or custom models contact me on doctorjana57@gmail.com. Source: Objaverse 1.0 / Sketchfab
Ethiopia Street - Point cloud to Mesh
This is a test to convert an iPad LIDAR point cloud into a PLY mesh using CloudCompare software. Source: Objaverse 1.0 / Sketchfab
Lazzaretto di Verona - Mesh
**Dati tecnici del rilievo:** 900 fotogrammi, accuratezza media: +/- 0.015 m, Drone DJI Spark, Sony A3000, Total Station Leica TCR450, Ground Control Points: 36 (di cui 5 Punti di controllo), Nuvola densa: 23 milioni di punti, Data del Rilievo: 21/02/2018 **Gruppo di lavoro** - ITS Cangrande della Scala: Salvatore BRUNO, Corrado FIORIO, Orazio SCIUTO Mesh in bassa qualità: 350K face **Info**: arch.oraziosciuto@gmail.com Source: Objaverse 1.0 / Sketchfab
mesh Antonius van Padua kerk te Nijmegen
Voor dit model zijn 6 scans gemaakt in de kerk. Hiervoor was ongeveer 1 uur scantijd nodig. Het model is opgebouwd uit 1,5 miljoen driehoeksvlakken en gebruikt daarmee slecht een fractie van alle meetpunten. Door het aantal vlakken te beperken blijft het model goed benaderbaar in een standaard webbrowser. Voor specifieke toepassingen is het mogelijk om modellen met hogere resoluties te genereren. Source: Objaverse 1.0 / Sketchfab
Kuelap Ruins - Watertight textured mesh
Kuelap Ruins [[ this textured model was created using only the pointcloud, no original images were used in the generation of the final textures ]] made from only 55 captured frames from the following video were observed and measured using colmap dense stereo photogrammetry: https://www.youtube.com/watch?v=L1rte2FnK04 We thank Trans-Americas Journey for their wonderful travel and cultural heritage videos!! more information about this location can be found here: https://en.wikipedia.org/wiki/Ku%C3%A9lap Tools used: youtube-dl, ffmpeg, python, colmap, houdini https://www.instagram.com/organiccomputer/ Source: Objaverse 1.0 / Sketchfab
owl mesh SL test
wooden owl, ~2ft tall mesh only test with homebrew structured light scanner ~15 point clouds merged using cloudcompare processed with meshlab Source: Objaverse 1.0 / Sketchfab
greek_column_mesh_miniature_gkasidou
Το παρόν αποτελεί εργασία της φοιτήτριας Γκασίδου Αναστασία στο μάθημα "ΜΙΚΤΗ ΠΡΑΓΜΑΤΙΚΟΤΗΤΑ ΚΑΙ ΗΛΕΚΤΡΟΝΙΚΟΣ ΠΟΛΙΤΙΣΜΟΣ". Source: Objaverse 1.0 / Sketchfab
Final Base Mesh
Man doing [Self Improvement Courses](https://www.pdscourses.com/) and now his body. Source: Objaverse 1.0 / Sketchfab
Arkadiou 198 Doorway 3D Mesh Lab
The doorway at Arkadiou 198 Street consists of a round marble semicircular arch of a transitional Venetian-Ottoman style, stone pillars and decorated elements. It was constructed of heavy masonry and the arch is built of two symmetrical pieces and a smaller part in the middle completes the structure. The pillars are simple and straight and bear a capital with moderate foliate decoration. The lintel is undecorated, a wide molding, and the anthem frame has been transformed into the alem coat of arms the tabular door with the point of junction decorated with two leaves, characteristic of Ottoman architecture. Source: Objaverse 1.0 / Sketchfab
Colosseum Mesh
**Augmented Reality Colosseums Project** I am trying to create an a AR filter, where the shape shows and turns slowly on a surface detected by the program. This could be interesting for museums or architecture. Hopefully I will try to make the shape more interesting by adding points (on the mesh) where the user can click on to reveal additional information regarding the Colosseum in my case. I haven't actually created this mesh, I got it as a free colosseum mesh and simplified it a little on blender. Source: Objaverse 1.0 / Sketchfab
High quality figures of "An Unstructured Mesh Generation Tool for Efficient High-Resolution Representation of Spatial Heterogeneity in Land Surface Models"
<p>High quality figures of "An Unstructured Mesh Generation Tool for Efficient High-Resolution Representation of Spatial Heterogeneity in Land Surface Models"</p>
Shadow Surface Meshes
<p>This repository contains triangle meshes of the shadow-recieving surfaces of 13 ancient sundials; three of them are from Greece and 10 from Italy. The meshes are in correspondence.</p> <p>The dataset was used in the <strong>Math+ project EF2-3 "Spline Models for Shape Trajectory Analysis."</strong></p> <p>It is used in the paper "Intrinsic shape analysis in archaeology: A case study on ancient sundials" by Hanik et al. in a study that applied nonlinear shape analysis methods to archaeological data.</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
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.