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908 results for “MESH”
Meshes from Efficient estimation of personalized biventricular mechanical function employing gradient-based optimization
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MESH - Main and Supplementary Files
<p>MESH in a tabular format for chemicals. </p>
Nolan County Courthouse 3d Mesh
Nolan County, Texas. Courthouse 3d Model Source: Objaverse 1.0 / Sketchfab
pear tree mesh photoscan
Old pear tree in winter. Photoscan out of 700 pictures. Source: Objaverse 1.0 / Sketchfab
Simulation data for "Modeling radiation belt dynamics using a positivity-preserving finite volume method on general meshes"
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op-pic_fempic_mesh_files
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MPAS Ocean Meshes
<p>MPAS-Ocean meshes created using PUMI from the MPAS-O Release 2.0.</p>
Online machine learning algorithms to predict link quality in community wireless mesh networks
<p>FunkFeuer raw topology data from 15-01-2016 to 28-01-2016 retrieved on 17-02-2016 from http://opendata.confine-project.eu/dataset/funkfeuer-topology-data. This dataset was employed in "Miguel L. Bote-Lorenzo, Eduardo Gómez-Sánchez, Carlos Mediavilla-Pastor, Juan I. Asensio-Pérez, Online machine learning algorithms to predict link quality in community wireless mesh networks, Computer Networks, Volume 132, 2018, Pages 68-80, https://doi.org/10.1016/j.comnet.2018.01.005."</p>
Simulation data and code for "Modeling radiation belt dynamics using a positivity-preserving finite volume method on general meshes"
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F15 aircraft meshed with 350M hexes
<p>This mesh was generated with Hexotic V4.3 and is made of 350 million semi strctured hexes.</p>
Maximum Expected Size of Hail (MESH) Retrievals for the GridRad-Severe Dataset (2010-2023)
<p>MESH retrievals using 5-min radar volumes for events in the GridRad-Severe dataset (https://doi.org/10.5065/2B46-1A97) and MERRA-2 reanalysis. Additional detail on the retrievals is provided in Murillo & Homeyer, 2019 (https://doi.org/10.1175/JAMC-D-18-0247.1). </p>
Data for MS: Optimization of signal and noise in x-ray phase and dark field imaging with a wire mesh
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Figure 4 from: Stur E, Borkent A (2014) When DNA barcoding and morphology mesh: Ceratopogonidae diversity in Finnmark, Norway. ZooKeys 463: 95-131. https://doi.org/10.3897/zookeys.463.7964
Figure 4 - A, B Forcipomyia sp. 5 female A terminalia, in ventral view B head, in anterior view C, D Forcipomyia sp. 4 female C terminalia, in ventral view D head, in anterior view.
Figure 2 from: Stur E, Borkent A (2014) When DNA barcoding and morphology mesh: Ceratopogonidae diversity in Finnmark, Norway. ZooKeys 463: 95-131. https://doi.org/10.3897/zookeys.463.7964
Figure 2 - Taxon-ID tree of the studied Ceratopogonidae specimens based on the neighbor joining algorithm from aligned COI sequences using partial deletion for areas with gaps and 1000 bootstrap replicates in MEGA 5.2. All included sequences were longer than 500 bp. Bootstrap values shown on branches supported by more than 90% of the bootstrap replicates.
Figure 3 from: Stur E, Borkent A (2014) When DNA barcoding and morphology mesh: Ceratopogonidae diversity in Finnmark, Norway. ZooKeys 463: 95-131. https://doi.org/10.3897/zookeys.463.7964
Figure 3 - A, B Forcipomyia hygrophila female A terminalia, in ventral view B head, in anterior view C, D Forcipomyia sp. 1 female C terminalia, in ventral view D head, in anterior view.
Figure 1 from: Stur E, Borkent A (2014) When DNA barcoding and morphology mesh: Ceratopogonidae diversity in Finnmark, Norway. ZooKeys 463: 95-131. https://doi.org/10.3897/zookeys.463.7964
Figure 1 - Sample sites for Ceratopogonidae in Finnmark, Norway, in 2010. Modified after Fig. 2 in Ekrem et al. (2012). Map by Marc Daverdin, NTNU University Museum.
VR application in Unity - 3D scanned mesh of campus
<p>VR application in Unity with the imported mesh of the campus’ 3rd floor as an interactable environment</p>
Photorealistic 3D mesh model dataset (Helsinki)
<p>The dataset contains a photorealistic 3D mesh model from Kalasatama region in Helsinki, Finland. Dataset was created using both terrestrial laser scanning (Leica RTC360) and UAV-based (DJI P4 Pro+) photogrammetry. 3D reconstruction was completed with RealityCapture without manual mesh or texture editing. The dataset contains 30 million polygons in OBJ file format and 50 8k texture files in PNG file format. Model can be further optimized per application basis. Work was done in Aalto University (The Research Institute of Measuring and Modeling for the Built Environment) with support from the City of Helsinki.</p>
hp-adaptive strong-form mesh-free solution procedure: data
<p>Data obtain within <a href="https://gitlab.com/e62Lab/public/2022_p_hp-adaptivity">this project</a>.</p>
Mesh dogbone
<p>Mesh</p>
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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.