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ShareScore release 0.9.0
Dataset results
908 results for “Mesh”
RSW Mixed Element Cell-Centered Medium Mesh
This RSW gridset is designed as the medium size mixed element grid for use with cell-centered unstructured meshes. UG3 : Grid File Name = rsw_med_mixedcc.b8.ugrid UG3 : Quad Surface Faces= 13056 UG3 : Tria Surface Faces= 107586 UG3 : Nodes = 3819936 UG3 : Total Elements = 8667521 UG3 : Hex Elements = 0 UG3 : Pent_5 Elements = 18324 UG3 : Pent_6 Elements = 7010592 UG3 : Tet Elements = 1638605 UG3 : BL Tet Elements = 18000
ARC Code TI: Middleware Using Existing SSH Hosts (Mesh)
Mesh is a secure, lightweight grid middleware that is based on the addition of a single sign-on capability to the built-in public key authentication mechanism of SSH using system call interposition.
RSW Mixed Element Cell-Centered Fine Mesh
This is a RSW mixed-element unstructured fine mesh for cell-centered solvers. UG3 : Grid File Name = rsw_fine_mixedcc.b8.ugrid UG3 : Quad Surface Faces= 28968 UG3 : Tria Surface Faces= 239342 UG3 : Nodes = 12002235 UG3 : Total Elements = 27584618 UG3 : Hex Elements = 0 UG3 : Pent_5 Elements = 50183 UG3 : Pent_6 Elements = 21941289 UG3 : Tet Elements = 5593146 UG3 : BL Tet Elements = 49651
Agglomeration of grains: individual and a layer in a mesh ring
Open the record for dataset details and reuse information.
MuSHRoom: Multi-Sensor Hybrid Room Dataset for Joint 3D Reconstruction and Novel View Synthesis (Mesh)
<p>Metaverse technologies demand accurate, real-time, and immersive modeling on consumer-grade hardware for both non-human perception (e.g., drone/robot/autonomous car navigation) and immersive technologies like AR/VR, requiring both structural accuracy and photorealism. However, there exists a knowledge gap in how to apply geometric reconstruction and photorealism modeling (novel view synthesis) in a unified framework.</p><p>To address this gap and promote the development of robust and immersive modeling and rendering with consumer-grade devices, first, we propose a real-world Multi-Sensor Hybrid Room Dataset (MuSHRoom). Our dataset presents exciting challenges and requires state-of-the-art methods to be cost-effective, robust to noisy data and devices, and can jointly learn 3D reconstruction and novel view synthesis, instead of treating them as separate tasks, making them ideal for real-world applications. Second, we benchmark several famous pipelines on our dataset for joint 3D mesh reconstruction and novel view synthesis. Finally, in order to further improve the overall performance, we propose a new method that achieves a good trade-off between the two tasks. Our dataset and benchmark show great potential in promoting the improvements for fusing 3D reconstruction and high-quality rendering in a robust and computationally efficient end-to-end fashion.</p>
Fig. 5 in A mesh network case study for digital audio signal processing in Smart Farm
Fig. 5. Results in T1 (left) and T2 (right).
Fig. 3 in A mesh network case study for digital audio signal processing in Smart Farm
Fig. 3. Diagram of the proposed algorithm..
MER 1 MARS HAZARD AVOID CAMERA TERRAIN MESHES RDR OPS V1.0
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MER 2 MARS PANORAMIC CAMERA TERRAIN MESH RDR OPS V1.0
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MER 1 MARS PANORAMIC CAMERA TERRAIN MESH RDR OPS V1.0
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RSW Fully Tet Medium Mesh
This is the fully tetra medium mesh for the RSW based on gridding guidelines.
MER 2 MARS HAZARD AVOID CAMERA TERRAIN MESH RDR OPS V1.0
NULL
RSW Fully Tet Coarse Mesh
This is the fully tetra coarse mesh for the RSW based on gridding guidelines.
MER 2 MARS NAVIGATION CAMERA TERRAIN MESH RDR OPS V1.0
NULL
MER 1 MARS NAVIGATION CAMERA TERRAIN MESH RDR OPS V1.0
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RSW Fully Tet Fine Mesh
This dataset is the fully tetrahdral fine mesh for the RSW configuration.
A transcriptomic analysis of the bioactive properties of a polypropylene surgical mesh modified with silver-containing microparticles.
GEO Series GSE85139. Rattus norvegicus. 12 samples. Type: Expression profiling by array.
3D meshes of human forearms
<p>The dataset contains 3D meshes of human forearms in different positions.</p>
Smart Comp Sci Meshes
<p>Meshes used for the Smart Comp Sci paper</p>
128Ki part mesh for flow-control case
<p>128Ki part mesh created with ParMETIS local multi-level graph splitting from an 8Ki partition used for ParMA-PHASTA performance testing with on Mira BGQ.<br> The following paper used this partition: https://www.scorec.rpi.edu/reports/view_report.php?id=665</p>
ScienceDex guides
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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.