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882 results for “3d model”
Dataset related to article "Development of a 3D ex vivo model of brain-leukemia interaction to study the role of Activin A in the Central Nervous System microenvironment"
<p>Excel file related to the article</p>
Replication Package: 3D Shear‐wave Velocity and Density Modelling of the Northern Cascadia Subduction Zone
<p>This work is done as part of the <a href="https://metrovanmicromap.ca/" target="_blank" rel="noopener noreferrer">Metro Vancouver Seismic Microzonation Project</a> which aims to improve our understanding of seismic hazards in the Georgia Basin and explore opportunities to reduce their impact through mitigation.<br><br>Accurate shear wave velocity images of the subsurface is required to achieve this, hence we developed a new 3D shear-wave velocity (Vs) model for the region from ambient seismic noise and earthquake data recorded by temporary and permanent seismic stations in the last two decades as well as a new 3D density model from a publicly available gravity dataset.<br><br>Here, we share a replication package that includes datasets (seismic and gravity), computer codes and scripts adopted and developed for this research work. The package also includes intermediate result files and final 3D models and GMT script used to plot each figure in the associated manuscript (Submitted to JGR Solid Earth). Our goal is to support research transparency and reproducibility of our work.</p>
Figure 8 from: Ströbel B, Schmelzle S, Blüthgen N, Heethoff M (2018) An automated device for the digitization and 3D modelling of insects, combining extended-depth-of-field and all-side multi-view imaging. ZooKeys 759: 1-27. https://doi.org/10.3897/zookeys.759.24584
Figure 8 Comparison of images taken with a Keyence VHX 5000 digital microscope (lens: Z20, A–C) and DISC3D (D). The whole specimen of Pogonocherus hispidus can be imaged at once with the VHX 5000 with a X30-magnification (A). To compare the digital resolution, we focus on the pronotum of the beetle (B: VHX 5000, ×30; C: VHX 5000, ×100, D: DISC3D, ×1.26). Scale bars: 1 mm.
Figure 7 from: Ströbel B, Schmelzle S, Blüthgen N, Heethoff M (2018) An automated device for the digitization and 3D modelling of insects, combining extended-depth-of-field and all-side multi-view imaging. ZooKeys 759: 1-27. https://doi.org/10.3897/zookeys.759.24584
Figure 7 Osmia adunca, two exemplary raw images of the front-light stack, with the focal plane going through the proximal (A) and the distal part (B) of the sample, the EDOF image (C), and a detail of the latter (D) demonstrate the resolution. Scale bars: 1 mm.
Figure 2 from: Ströbel B, Schmelzle S, Blüthgen N, Heethoff M (2018) An automated device for the digitization and 3D modelling of insects, combining extended-depth-of-field and all-side multi-view imaging. ZooKeys 759: 1-27. https://doi.org/10.3897/zookeys.759.24584
Figure 2 Illumination by two hemispherical white-coated domes (A–C). The back-light-dome can be removed for specimen mounting (D, E). No direct light from the LED-stripes hits the specimens (C, E).
Figure 17 from: Ströbel B, Schmelzle S, Blüthgen N, Heethoff M (2018) An automated device for the digitization and 3D modelling of insects, combining extended-depth-of-field and all-side multi-view imaging. ZooKeys 759: 1-27. https://doi.org/10.3897/zookeys.759.24584
Figure 17 Relation of surface area and volume for all insect species presented here. While the dipteran, hymenopteran and lepidopteran species had their wings unfolded, all beetles had the wings folded underneath their elytra. Models are not to scale.
Figure 3 from: Ströbel B, Schmelzle S, Blüthgen N, Heethoff M (2018) An automated device for the digitization and 3D modelling of insects, combining extended-depth-of-field and all-side multi-view imaging. ZooKeys 759: 1-27. https://doi.org/10.3897/zookeys.759.24584
Figure 3 The camera is mounted on a macro-rail (A). The camera position and orientation can be fine-tuned in all directions (B–D). The camera lens is covered by a pinhole-cap (B).
Figure 10 from: Ströbel B, Schmelzle S, Blüthgen N, Heethoff M (2018) An automated device for the digitization and 3D modelling of insects, combining extended-depth-of-field and all-side multi-view imaging. ZooKeys 759: 1-27. https://doi.org/10.3897/zookeys.759.24584
Figure 10 Comparison of dense-cloud-based mesh generation and visual consistency meshing of Thricops sp. (A EDOF image). Thin and delicate structure like wings and setae are not well modelled from the dense cloud (B) but well preserved by visual consistency meshing (C).
Figure 11 from: Ströbel B, Schmelzle S, Blüthgen N, Heethoff M (2018) An automated device for the digitization and 3D modelling of insects, combining extended-depth-of-field and all-side multi-view imaging. ZooKeys 759: 1-27. https://doi.org/10.3897/zookeys.759.24584
Figure 11 Comparison of mesh quality and number of polygons, exemplified by a model of the shell of Discus rotundatus. The model with 1 million faces (A) has a file size (3D-PDF) of 35 MB and shows more detail, but the reduced model with 75.000 faces (B) still well resembles the structure with a file size (3D-PDF) of only 3 MB.
Figure 9 from: Ströbel B, Schmelzle S, Blüthgen N, Heethoff M (2018) An automated device for the digitization and 3D modelling of insects, combining extended-depth-of-field and all-side multi-view imaging. ZooKeys 759: 1-27. https://doi.org/10.3897/zookeys.759.24584
Figure 9 Workflow of model generation of Pogonocherus hispidus with PhotoScan Pro. In total, 398 EDOF-images are taken with DISC3D (one example is shown in A). Using the image data, masks and camera positions estimated with the calibration sphere (see Fig. 6), a sparse cloud with optimized camera positions is generated (B). Two options for model generation are available: direct mesh calculation based on a dense point cloud (C) or meshing with visual consistency (D). Resulting meshes can be textured (E, F). Scale bar: 1mm.
Figure 12 from: Ströbel B, Schmelzle S, Blüthgen N, Heethoff M (2018) An automated device for the digitization and 3D modelling of insects, combining extended-depth-of-field and all-side multi-view imaging. ZooKeys 759: 1-27. https://doi.org/10.3897/zookeys.759.24584
Figure 12 Overview and size comparison of the specimens used in this study. Coleoptera: a Prosopocoilus savagei b Anoplotrupes stercorosus, *: specimen was broken during comparative measurements c Stenocorus meridianus d Typhaeus typhoeus e Rutpela maculata f Valgus hemipterus g Cryptocephalus sericeus h Pogonocherus hispidus i Phyllobius pyri j Tytthaspis sedecimpunctata; Lepidoptera: k Zygaena filipendulae; Hymenoptera: l Paraponera clavata m Osmia adunca n Sphecodes ephippius; Diptera: o Thricops sp., p Culex pipiens q Oscinella frit; Gastropoda: r Helicodonta obvoluta s Aegopinella nitens t Discus rotundatus.; Scale bar: 1 cm (keep in mind that not all specimens are equidistant to the lens; i.e., at the same height of the needle).
Dataset of FEPROC Blade Model Verification - 3D Shell and Beam Model
<p>This dataset contains the 3D shell and beam models used for the <a href="http://doi.org/10.5281/zenodo.1493936">FEPROC Blade Model Verification - 3D Shell and Beam Model</a>. Please, notice the non-commercial license.</p> <p>The dataset contains:</p> <ul> <li>data_version_2: blade parametrization version 2 as of FUSED-Wind dev</li> <li>becas: BECAS cross-section data and plots</li> <li>feproc_beam: FEPROC input and *.cdb files (execute load_cdb.inp in APDL)</li> <li>feproc_shell: FEPROC input and *.cdb files (execute load_cdb.inp in APDL)</li> </ul> <p>The following code revisions/ commit ids were used to generate the dataset:</p> <ul> <li>ANSYS 15.0 (Build: 20131010)</li> <li>FEPROC (23ffd664befab0d59c725b74e3b82564d69d6f31)</li> <li>BECAS 3.3</li> <li>shellexpander (27d9191e52378d18773707559cee906d4d69ef36)</li> <li>FEPROCWrapper (f2a99b017ac9d638fadc772a842f1430bebbbc91)</li> <li>BECASWrapper (390aad5ec6817f3179d65fdc31f82058aa81398c)</li> <li>Fused-Wind dev (489433fa1a91dc30ce2232bbbc5803369764caa5)</li> <li>OpenMDAO 1.7.3</li> <li>PGL (e0aba7ba225f7eb319ccfb9df4b20fb5170dc764)</li> <li>Scipy 0.16.1</li> <li>Numpy 1.13.3</li> <li>Python 2.7.11</li> <li>Matlab R2013b (8.2.0.701)</li> <li>Ubuntu 14.04.5 LTS (GNU/Linux 3.13.0-116-generic x86_64)</li> </ul>
Stellar models with calibrated convection and temperature stratification from 3D hydrodynamics simulations
<p>MESA T-tau data file associated with <a href="https://ui.adsabs.harvard.edu/#abs/2018MNRAS.478.5650M/abstract">Stellar models with calibrated convection and temperature stratification from 3D hydrodynamics simulations</a></p>
3D model of the stone surface with texture - Application of Forensic Photogrammetry and 3D Modelling to Improve Epigraphic Reading: Study of the Roman Altar of Gravesano (Ticino, Switzerland)
<p>Video of the 3D model of the stone surface with textures.</p>
Figure 1 3D in A 3D model to illustrate the nest architecture of Acromyrmex balzani (Hymenoptera; Formicidae)
Figure 1 3D profile of nests 1 to 4, showing turret height, appendix location and maximum depth. a: nest 1; b: nest 2; c: nest 3 and d: nest 4.
Data for Figures in "Dynamics of K$_2$Ni$_2$(SO$_4$)$_3$ governed by proximity to a 3D spin liquid model"
Open the record for dataset details and reuse information.
3D Reconstructive model of the House of the Greek Epigrams in Pompeii
<p>The reconstructive model can be viewed at: https://models.darklab.lu.se/Pompeii/EpigrammiGreci/3D_Reconstruction/</p> <p>For any use of the content (such as screenshots), please ensure to cite the source correctly using the automatically generated citation provided by Zenodo. Additionally, you must obtain permission from the Parco Archeologico di Pompeii for the use of the model and of any related media (such as screenshots).</p> <p>The methodology employed in the reconstruction of the model is delineated in Chapter 5 of the following work: Campanaro, D. M. (2023). <em>Illumination matters. Revisiting the Roman house in a new light</em>. [Doctoral Thesis (compilation), Classical archaeology and ancient history]. MediaTryck Lund. https://lucris.lub.lu.se/ws/portalfiles/portal/144878976/Danilo_Marco_Campanaro_WEBB.pdf</p> <p>When utilising the model or any media derived therefrom (e.g. screenshots), it is requisite to cite this work.</p>
The Magnetotelluric data, 3D resistivity model, and the reprocessed Seismic data for Timmins, Canada
Open the record for dataset details and reuse information.
Model files and output seismograms for Seismic Wavefield Modelling of Enceladus: challenges and opportunities presented by a 3D ice shell (Dapré & Irving)
Open the record for dataset details and reuse information.
Binary segmentation images for 3D segmentation model training
<p>Binary segmentation images for 3D segmentation model training</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.