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882 results for “3D models”
3D Models from La Noira site (Central France)
<p>76 3D models (.pdf) of the handaxes and cleaver-like tools from La Noira sequence (Central France). There are two folders: Lower Levels (stratum a) and Upper Levels (stratum c).</p> <p>The models are unscaled. If you need metrical information, please contact the author.</p> <p>The .xlsx files contains the list of tools (including code and layer information).</p>
3D Models from Menez Dregan I site (Plouhinec, Finistère, France)
<p>64 3D models (.pdf) of the handaxes and cleavers from Menez Dregan I sequence (Plouhinec, Finistère, France), Layers 8 to 4.</p> <p>The models are unscaled. If you need metrical information, please contact the author.</p> <p>The .xlsx file contains the list of tools (including code and layer information).</p>
CI23: a 3D radially anisotropic velocity model of Central Apennines lithosphere
<p>We retrieve the 3D radially anisotropic model of Central Apennines lithosphere implementing Full-Waveform Inversion (FWI). </p> <p>The model has the following parameterization: VPH, VPV, VSH, VSV. It resolves P- and S-waves velocities in the period range 8 - 50s (0.02 - 0.125 Hz). For each point in the mesh (LAT1: 40.0°, LAT2: 45.0°, LON1: 11.0°, LON2: 16.0°), the model returns velocity values in units of m/s.</p> <p>The CI_23 model is available in multiple formats:</p> <ul> <li> <p>A <code>.vtk</code> version is hosted on Zenodo</p> </li> <li> <p>An <code>.h5</code> version can be accessed via Google Drive <a href="https://drive.google.com/drive/folders/18mHH6WRGOTJIaBGB8wn3FcrqYBMwVJyZ?usp=drive_link" target="_blank" rel="noopener">here</a></p> </li> <li> <p>A version interpolated onto a structured grid (in <code>.netCDF</code> format) is available through <a href="https://doi.org/10.17611/dp/emc.2025.ci23stallone.1" target="_blank" rel="noopener">IRIS-EMC </a></p> </li> </ul> <p> </p>
AAA-100: A Curated Dataset of 3D Watertight Abdominal Aortic Aneurysm Models
<p>An abdominal aortic aneurysm (AAA) is a local dilatation of the abdominal aorta exceeding 30 mm that might rupture, with fatal outcomes in 70-80% of cases. Personalized 3D models of AAAs, including surrounding vasculature such as iliac and renal arteries play an important role in tailored clinical decision-making for AAA patients. Models could be used for, e.g., AAA growth modeling, stentgraft sizing and positioning for endovascular aorta repair (EVAR) procedures, or 3D printing for surgical practice. Extracting high-quality 3D arterial models from imaging modalities such as computed tomography angiography (CTA) is a time-consuming and challenging problem. For downstream applications such as computational fluid dynamics (CFD) or shape analysis, models should have sub-voxel accuracy, be watertight, and adhere to topological constraints. We present the AAA-100 dataset, containing 100 detailed 3D AAA models with consistent anatomical boundaries acquired semi-automatically from pre-operative CTA scans. These models span a wide range of possible AAA pathology. Moreover, all models are carefully curated to be anatomically and topologically correct. </p> <p>A detailed description of the data set and file structure is provided in description.pdf.</p> <p>We kindly ask you to cite the following works when using the AAA-100 dataset in your research</p> <blockquote> <p>Alblas, D., Suk, J., Brune, C., Yeung, K. K., & Wolterink, J. M. (2025). SIRE: Scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks. <em>Medical Image Analysis</em>, 103467.</p> <p>Rygiel, P., Alblas, D., Brune, C., Yeung, K. K., & Wolterink, J. M. (2024). Global Control for Local SO (3)-Equivariant Scale-Invariant Vessel Segmentation. <em>arXiv preprint arXiv:2403.15314</em>.</p> </blockquote>
Processed data and trained models for "HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields"
<p>#############</p> <p>HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields, CVPR 2024</p> <p>#############</p> <p>Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis.</p> <p>Affiliation: EPFL</p> <p>Date: June, 2024</p> <p>Link to the CVPR article: <a href="https://openaccess.thecvf.com/content/CVPR2024/papers/Qi_HOISDF_Constraining_3D_Hand-Object_Pose_Estimation_with_Global_Signed_Distance_CVPR_2024_paper.pdf">https://openaccess.thecvf.com/content/CVPR2024/papers/Qi_HOISDF_Constraining_3D_Hand-Object_Pose_Estimation_with_Global_Signed_Distance_CVPR_2024_paper.pdf</a></p> <p>Link to the Arxiv article: <a href="https://arxiv.org/abs/2402.17062">https://arxiv.org/abs/2402.17062</a></p> <p>--------------------------------</p> <div> <div>Here we provide the data of our article "HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields". It contains the preprocessed data of the interacting objects and SDF samples. Meanwhile, we also include the trained model weights here.</div> <br> <div>The overall structure of the data is:</div> <br> <div>├── <a href="../api/records/11668766/draft/files/ckpts.zip/content" target="_blank" rel="noopener noreferrer">ckpts.zip</a> - Contains the trained weights model on different datasets (DexYCB and HO3Dv2)</div> <div>├── <a href="../api/records/11668766/draft/files/annotations.zip/content" target="_blank" rel="noopener noreferrer">annotations.zip</a> - Contains the preprocessed annotations of DexYCB and HO3Dv2 for efficient data loading.</div> <div>├── <a href="../api/records/11668766/draft/files/simple_ycb_models.zip/content" target="_blank" rel="noopener noreferrer">simple_ycb_models.zip</a> - Contains the preprocessed YCB objects for batched evaluation.</div> <div>├── <a href="../api/records/11668766/draft/files/test.zip/content" target="_blank" rel="noopener noreferrer">test.zip</a> - Contains the processed SDF files for DexYCB test set.</div> <div>├── <a href="https://zenodo.org/api/records/14190951/draft/files/ho3d_release.zip/content" target="_blank" rel="noopener noreferrer">ho3d_release.zip</a> - Contains the HO3Dv2 submission trained with HO3D training set.</div> <div>├── <a href="https://zenodo.org/api/records/14190951/draft/files/ho3d_render_release.zip/content" target="_blank" rel="noopener noreferrer">ho3d_render_release.zip</a> - Contains the HO3Dv2 submission trained with HO3D training set and rendering set.</div> <div> </div> <br> <div>The code to reproduce the results is available at: <a href="https://github.com/amathislab/HOISDF">https://github.com/amathislab/HOISDF</a></div> <div> </div> <div>--------------------------------</div> </div> <p>If you find our code, weights, predictions or ideas useful, please cite:</p> <p>@inproceedings{qi2024hoisdf,<br> title={HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields},<br> author={Qi, Haozhe and Zhao, Chen and Salzmann, Mathieu and Mathis, Alexander},<br> booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},<br> pages={10392--10402},<br> year={2024}<br>}</p>
3D model of a box-type structure under a small cairn near the Bear Trap in Northwest Greenland
<p>This dataset consists of files that can be used to view a high-resolution 3D model of a box-type structure under a small cairn in the vicinity of ‘The Bear Trap’. The interior of the stone box appears to have been completely empty. Similar small stone box structures have been identified and discussed by Schedermann (e.g. 1990: 159) for Arctic Small Tool tradition (ASTt) sites on Skraeling Island and by McGee (1979) for Port Refuge in the Canadian High Arctic. Similar and equally enigmatic features have also been described by Knuth (1966/67: 203) for far north and northeast Greenland. They have been alternatively attributed to numerous PalaeoEskimo cultural complexes, but without dated materials from the site current attribution of the feature’s function, significance or date are not possible.</p> <p>The 3D model was created from 280 digital photographs that were processed usingAgisoft Metashape Pro v1.7. More information is provided in processing report and the readme file that accompanies this dataset. </p> <p>The image survey was conducted as part of the Vaigat Iceberg-Microbial Oil Degradation and Archaeological Heritage Investigation (VIMOA) project, which was funded by the Danish Centre for Marine Research and supported by the Arctic Research Centre at Aarhus University, the National Museum of Denmark, the Greenland Institute of Natural Resources, and The Greenland National Museum and Archives in Nuuk. Proper permits for the survey were obtained in advance from the Greenland National Museum and Archives in Nuuk. Walsh et al. (2020) provides an overview of the archaeological surveys conducted during the VIMOA project and Walsh et al. (in prep) provides further details specific to The Bear Trap and surrounding archaeological contexts. </p> <p>Knuth, Egil. (1966/67) The ruins of the Musk Ox Highway. <em>Folk</em> 8-9: 191-219.</p> <p>McGee, Robert. (1979) <em>The Palaeoeskimo occupations at Port Refuge, High Arctic Canada</em>. National Museum of Man Mercury Series. Archaeological Survey of Canada Paper No. 92. Ottawa: National Museums of Canada.</p> <p>Schledermann, Peter. (1990) <em>Crossroads to Greenland: 3000 years of prehistory in the Eastern High Arctic</em>.Calgary: The Arctic Institute of North America of the University of Calgary.</p> <p>Walsh et al. (2020) The VIMOA project and archaeological heritage in the Nuussuaq Peninsula of north-west Greenland. <em>Antiquity</em> 94:e6 doi:10.15184/aqy.2019.230</p> <p>Walsh, Matthew J., Daniel F. Carlson, Pelle Tejsner, and Steffen Thomsen. The Bear Trap: Reinvestigating a unique stone structure on the northwest tip of the Nuussuaq Peninsula, Greenland. Submitted to <em>Arctic Anthropology</em></p>
ExoCAM: A 3D Climate Model for Exoplanet Atmospheres :: Model data and supplementary figures and analysis
<p>This repository contains 3D GCM model output data from the paper, "ExoCAM: A 3D Climate Model for Exoplanet Atmospheres", which is published in the Planetary Science Journal: Trapppist Habitable Atmospheres Intercomparison Special Issue. The model data includes mean climate states for the standard THAI simulations of TRAPPIST-1e, simulations using an upgraded radiative transfer, along with a large variety sensitivity experiments considering common tuning parameters of sub-grid scale cloud and convection physics. In total 43 simulations are included. Also included here are a variety of multi-panel contour plots showing basic results from all simulations as supplemental figures.</p> <p>https://iopscience.iop.org/article/10.3847/PSJ/ac3f3d</p>
IHTApark. Multi-detailed 3D architectural model for sound perception research in Virtual Reality
<p><strong>IHTApark – Multi-detailed 3D architecture model</strong></p> <p>This dataset describes visual and acoustic 3D architectural models of the park next to the IHTA.</p> <p>Institute of Hearing Technology and Acoustics (IHTA), RWTH Aachen, 52056 Aachen, Germany</p> <p>Files are stored in FBX format for geometry, JPEG format for visual textures, and Unreal Engine for the virtual reality scenes.</p> <p><strong>VERSION 1: Visual photogrammetry + Acoustic model</strong></p> <p>As used in the publication:</p> <p>[1] Llorca-Bofí, J. and Vorländer, M. (2021). Multi-Detailed 3D Architectural Framework for Sound Perception Research in Virtual Reality. Front. Built Environ. 7:687237.doi: https://doi.org/10.3389/fbuil.2021.687237</p> <p>Data is available separately for each definition, and for each visual and acoustic cue. The level of detail for each definition is shown here:</p> <ul> <li>Visual cues <ul> <li>Geometries <ul> <li>HighLOD</li> </ul> </li> </ul> </li> <li>Acoustic cues <ul> <li>Geometries <ul> <li>HighLOD</li> </ul> </li> </ul> </li> </ul> <p>This version of the model includes only the modules used for the description of the referenced paper. The authors reserve the right to complete other levels of detail if future applications require them.</p> <p>An additional data file contains a unique file in [IHTApark_UnrealEngine] Unreal Engine format, with the set up scenario. The instructions to open the final scenario are described here:</p> <ol> <li>Download the [IHTApark_UnrealEgine] file, and save it in your working space.</li> <li>Extract the content of the [IHTApark_UnrealEngine]. The folder naming and arrangement are prepared for the scenario.</li> <li>Run the .uproject file.</li> <li>Open a <strong>Content Browser</strong> tab to navigate through the folder hierarchy. You can open the <strong>Content Browser</strong> under the tabs <strong>Window > Content Browser</strong></li> <li>Open the <strong>IHTApark</strong> map under the folder <strong>Content > Maps</strong> by double clicking on it.</li> <li>The scenario will be visible in the <strong>Viewport 1</strong> tab. Go to <strong>Window > Viewports > Viewport 1</strong> to open the tab.</li> <li>Press key <strong>G</strong> to hide or unhide the helpers and editor actors.</li> <li>Press keys <strong>0,</strong> <strong>1</strong>, <strong>2</strong>, <strong>3</strong>… <strong>9</strong> to jump into different saved view positions.</li> <li>Drag the mouse while pressing right click to rotate the viewer direction</li> <li>While pressing right click, press key <strong>W</strong> to navigate through the scenario.</li> </ol> <p><strong>VERSION 2: Object-based visualization in three different weather conditions</strong></p> <p>As used and described in the publication:</p> <p>[2] Submitted to journal.</p> <p>The file [IHTApark_3weath_comp] Unreal Engine format contains the set up scenario. The instructions to open the final scenario are described here:</p> <ol> <li>Download the [IHTApark_3weath_comp] file, and save it in your working space.</li> <li>Extract the content of the [IHTApark_3weath_comp]. The folder naming and arrangement are prepared for the scenario.</li> <li>Run the .uproject file.</li> <li>Open a <strong>Content Browser</strong> tab to navigate through the folder hierarchy. You can open the <strong>Content Browser</strong> under the tabs <strong>Window > Content Browser</strong></li> <li>Open the <strong>IHTApark_warm</strong>, <strong>IHTApark_wet </strong>or<strong> IHTApark_snowy</strong> maps under the folder <strong>Content > Maps</strong> by double clicking on it to visualize each weather condition.</li> <li>The scenario will be visible in the <strong>Viewport 1</strong> tab. Go to <strong>Window > Viewports > Viewport 1</strong> to open the tab.</li> <li>Press key <strong>G</strong> to hide or unhide the helpers and editor actors.</li> <li>Press keys <strong>0,</strong> <strong>1</strong>, <strong>2</strong>, <strong>3</strong>… <strong>9</strong> to jump into different saved view positions.</li> <li>Drag the mouse while pressing right click to rotate the viewer direction</li> <li>While pressing right click, press key <strong>W</strong> to navigate through the scenario.</li> </ol> <p>The folder [IHTApark_3weathers_audio] contains the sound signals, as .wav files, in fist order ambisonics format (B-format).</p> <p> </p>
Dataset related to aticle "Additive Fabrication of a Vascular 3D Phantom for Stereotactic Radiosurgery of Arteriovenous Malformations"The database contains 3D models in STL file format of a patient-specific brain arteriovenous malformation phantom reconstructed from computed tomography scans.
<p><em>The database contains 3D models in STL file format of a patient-specific brain arteriovenous malformation phantom reconstructed from computed tomography scans.</em></p>
Multiphoton imaging of melanoma 3D models with plasmonic nanocapsules
<p>Dataset of https://www.sciencedirect.com/science/article/pii/S1742706122000617?via%3Dihub#fig0001</p>
DataSet: Structural and optical properties of gold nanosponges revealed via 3D nano-reconstruction and phase-field models
<p>These are the main raw and processed data for the publication "Structural and optical properties of gold nanosponges revealed<br> via 3D nano-reconstruction and phasefield models".</p> <p>Abstract:<br> Nanoporous gold nanoparticles are subject of intensive research due to their unique morphology, which leads to electric field localizations generating a strongly nonlinear optical response, allowing a wide range of applications. However, accurate predictions of physical properties require detailed knowledge of the sponges’ chaotic nanometer-sized geometrical structures, posing a metrological challenge. Therefore, a main goal is to obtain computer models with equivalent structural and optical properties. To understand the sponges’ morphology, a procedure for their accurate three-dimensional reconstruction using focused ion beam tomography is presented. Next, a small number of morphological key parameters is derived that sufficiently characterize the complex topology. Additionally, a new simulation method for the computer-aided creation of finite-sized sponges with adjustable geometric properties is presented. It is shown that if certain morphological parameters are similar for computer-generated and experimental sponges, their optical response, including number and locations of field localizations, are also similar. Finally, the anisotropy of the experimental sponges is analyzed and an easy-to-use procedure to replicate arbitrary anisotropies in computer-generated sponges is presented.</p>
Kinora Replica 3D Model
<p>The Kinora replica 3D model was produced in the context of the project <a href="https://dema.uni.lu/">Doing Experimental Media Archaeology: Practice and Theory (DEMA)</a>, funded by the <em>Fonds National de la Recherche</em>, Luxembourg (FNR) (C18/SC/12703137).</p> <p>The Kinora replica project was the result of a collaboration between the Luxembourg Centre for Contemporary and Digital History (C2DH) and the Department of Engineering (DoE) of the University of Luxembourg.</p> <p>The 3D model was developed by engineer Ing. Claude Wolf (DoE) and media historian Dr. Tim van der Heijden (C2DH).</p> <p>For more information about the Kinora replica project, see the article <a href="https://journalofdigitalhistory.org/en/article/33pRxE2dtUHP">Replicating the Kinora: 3D modelling and printing as heuristics in digital media history</a>, published in the <em>Journal of Digital History</em> in 2022.</p>
Research compendium for 'The contribution of integrated 3D model analysis to Protoaurignacian stone tool design'
<p><strong>Abstract:</strong> Protoaurignacian foragers relied heavily on the production and use of bladelets. Techno-typological studies of these implements have provided insights into important aspects of cultural variability. However, new technologies have seldom been used to quantify patterns of stone tool design. Taking advantage of a new scanning protocol and open-source software, we conduct the first 3D analysis of a Protoaurignacian assemblage, focusing on the selection and modification of blades and bladelets. We study a large sample of complete blanks and retouched tools from the early Protoaurignacian assemblage at Fumane Cave in northeastern Italy. Our main goal is to validate and refine previous techno-typological considerations employing a 3D geometric morphometrics approach complemented by 2D analysis of cross-section outlines and computations of retouch angle. The encouraging results show the merits of the proposed integrated approach and confirm that bladelets were the main focus of stone knapping at the site. Among modified bladelets, various retouching techniques were applied to achieve specific shape objectives. We suggest that the variability observed among retouched bladelets relates to the design of multi-part artifacts that need to be further explored via renewed experimental and functional studies.</p> <p><strong>Overview of contents:</strong></p> <p>01. AGMT3-D project of the first dataset used in the study;</p> <p>02. AGMT3-D project of the second dataset used in the study;</p> <p>03. Raw outline data of the middle cross-section. Each specimens has a dedicate .txt file;</p> <p>04. Raw outline data of the upper cross-section. Each specimens has a dedicate .txt file;</p> <p>05. Angles3-D project with all files generated by the software (.mat and .xlsx formats) to quantify the mean retouch angle of retouched bladelets;</p> <p>06. R project and scripts for the 1) 2D shape analysis of the middle and upper cross-sections of retouched bladelets and the 2) design of all bivariate plots and boxplots with jittered points used in the paper. All related datasets, principal components, and generated figures are included in the folder;</p> <p>07. Folder with all figures published in the paper and in its supplementary materials;</p> <p>08. Dataset of the first study in .csv with all attributes used to run the statistical analysis presented in the paper;</p> <p>09. Dataset of the second study in .csv with all attributes used to run the statistical analysis presented in the paper;</p> <p>10. Dataset for the study of the upper cross-sections in .csv with all attributes used to run the statistical analysis presented in the paper;</p> <p>11. Dataset for the study of the middle cross-sections in .csv with all attributes used to run the statistical analysis presented in the paper;</p> <p>12. Dataset in .csv used to study the mean retouch angles;</p> <p>13. Supplementary information file in .pdf with all supplementary figures and tables.</p> <p><strong>Extra</strong>: All 3D meshes of blades and bladelets are available on Zenodo following this link: https://doi.org/10.5281/zenodo.6362150.</p>
The human splenic microcirculation is entirely open as shown by 3D models in virtual reality. Supplementary files
<p>These materials supplement our paper "The human splenic microcirculation is entirely open as shown by 3D models in virtual reality".</p> <p><strong>Summary</strong></p> <p>The human spleen is equipped with an organ-specific microcirculation. The initial part of the venous circulation is formed by spleen-specific large microvessels, the sinuses. Sinuses eventually fuse to form venules and veins. For more than 170 years there have been debates, whether splenic red pulp capillaries join sinuses, i.e., whether the microcirculation is closed or open - or even simultaneously closed and open. We have now solved this question by three-dimensional reconstruction of a limited number of immunostained serial sections of red and white pulp areas, which were visualized in virtual reality. Splenic capillaries have special end structures exhibiting multiple small diverging endothelial cell processes, which always keep a certain distance to the walls of sinuses. Only very few capillary ends were difficult to diagnose. Positive identification of these end structures permits to conclude that the human splenic microcirculation is entirely open. This is also true for the perifollicular capillary network and for capillaries close to red pulp venules. Follicles are supplied by a relatively dense open perifollicular capillary net, which is primarily, but not exclusively, fed by sheathed and few non- sheathed capillaries from the surrounding red pulp network.</p> <p> </p> <p><strong>Interactive models</strong></p> <p>Each <em>file_sX.zip</em> contains a 3D model, registered sequence of serial sections (the input data to generate and validate the model), and an interactive / VR viewer. After you have unzipped the file, there are multiple batch files. Any of them can be used for an interactive model display on a normal monitor, but we recommend the file <em>start_index.bat</em>. Now, if you have a virtual reality headset or a 4K monitor, there are better options:</p> <ul> <li>If you have a HTC Vive-compatible headset (i.e., the "wand" controllers, typically coming with HTC Vive, Vive Pro, Vive Pro 2, etc.), please use <em>start_vive.bat</em>.</li> <li>If you have a Valve Index headset (i.e., the "knuckles" controllers, should also work with Oculus devices), please use <em>start_index.bat</em>.</li> <li>If you have a high-resolution monitor (4K or better), please use <em>start_interactive_4k.bat</em> for a high-resolution interactive model.</li> </ul> <p>In the zip-file is also a <em>README.txt</em> file with instructions on the controls for the interactive and VR viewer. It is also available in the viewer at press of F1 button. In a nutshell: </p> <ul> <li>ASWD control the movement</li> <li>I (the "i" key) turns the sections on and off</li> <li>JK advance the sections</li> <li>CV adjust the height</li> <li>E turns the model on and off.</li> </ul> <p>The viewer executables are built for Windows. They work with Windows 10, should work with previous versions of Windows (64 bit) and also with future versions, such as Windows 11. Users of other OS, such as MacOS or Linux, can use <a href="https://www.meshlab.net/">MeshLab</a> to look at the model. Any image viewer can be used to inspect the sections in the <em>img</em> folder of the unpacked zip file. However, in this case, no VR experience and no simultaneous view of both 3D reconstruction and the sections is possible.</p> <p> </p> <p><strong>Videos</strong></p> <p>The videos with the same content are mostly supplied in three versions:</p> <ul> <li>On any modern hardware you should be able to play the H.265 videos, ending in <em>...4K_h265_10bit.mov</em>, there are in 4K resolution</li> <li>If it is not the case, but you want 4K resolution, use the H.264 version, ending in <em>...4K_h264_10bit.mov,</em> it is also in 10 bit quality</li> <li>A fallback for weaker hardware and maximal compatibility is the H.264 FullHD version. It should play anywhere. Those files end in <em>...1080p_h264.mov.</em></li> </ul> <p> </p> <p><strong>Supplementary Figures S1 and S2</strong></p> <p>The supplementary figures with their legends are available in the file <a href="https://zenodo.org/record/6599487/files/supp.pdf"><em>supp.pdf</em></a>.</p> <p> </p> <p><strong>3D models corresponding to Figs. 4a-d</strong></p> <p><a href="https://zenodo.org/record/6599487/files/file_s1.zip?download=1">Supplementary file S1</a>. 3D model of ROI 1 with open capillary ends in red</p> <p><a href="https://zenodo.org/record/6599487/files/file_s2.zip?download=1">Supplementary file S2</a>. 3D model of ROI 2 with open capillary ends in red</p> <p><a href="https://zenodo.org/record/6599487/files/file_s3.zip?download=1">Supplementary file S3</a>. 3D model of ROI 3 with open capillary ends in red</p> <p><a href="https://zenodo.org/record/6599487/files/file_s4.zip?download=1">Supplementary file S4</a>. 3D model of ROI 4 with open capillary ends in red</p> <p> </p> <p><strong>File corresponding to Fig. 7a</strong></p> <p><a href="https://zenodo.org/record/6599487/files/file_s5.zip?download=1">Supplementary file S5</a>. 3D model of sinus network and open capillary ends in red</p> <p> </p> <p><strong>Files corresponding to Figs. 9a,b</strong></p> <p><a href="https://zenodo.org/record/6599487/files/file_s6.zip?download=1">Supplementary file S6</a>. 3D model of ROI 2 with perifollicular capillary network in red correspondig to Fig. 9a</p> <p><a href="https://zenodo.org/record/6599487/files/file_s7.zip?download=1">Supplementary file S7</a>. 3D model of ROI 2 with perifollicular capillary network in red and open ends in yellow corresponding to Fig. 9b</p> <p> </p> <p><strong>Videos corresponding to Figs 5a-f</strong></p> <p><a href="https://zenodo.org/record/6599487/files/sinus_-_video_s1_4K_h264_10bit.mov">Supplementary video S1</a>. Two capillaries with open ends in Fig. 5a-c</p> <p><a href="https://zenodo.org/record/6599487/files/sinus_-_video_s2_4K_h264_10bit.mov">Supplementary video S2</a>. Capillary with at least two open ends in Fig. 5d-f</p> <p> </p> <p><strong>Videos corresponding to Figs 6a-d</strong></p> <p><a href="https://zenodo.org/record/6599487/files/sinus_-_video_s3_1080p_h264.mov">Supplementary video S3</a>. Quality control of open ends shown in Fig. 5a-c and Fig. 6a,b</p> <p><a href="https://zenodo.org/record/6599487/files/sinus_-_video_s4_1080p_h264.mov">Supplementary video S4</a>. Quality control of open end shown in Fig 5d-f and Fig. 6c,d</p> <p> </p> <p><strong>Videos corresponding to Fig. 4d and Figs 8a-f</strong></p> <p><a href="https://zenodo.org/record/6599487/files/sinus_-_video_s5_1080p_h264.mov">Supplementary video S5</a>. Control of open capillary end shown in Fig. 8a-c</p> <p><a href="https://zenodo.org/record/6599487/files/sinus_-_video_s6_1080p_h264.mov">Supplementary video S6</a>. Control of open capillary end shown in Fig. 8d-f</p>
3D models (4) of historic buildings Marine Etablissement Amsterdam
<p>These are some rough 3D models of buildings that used to stand at the Marinewerfkade (now around Oosterdok). These historic buildings used to be part of the Marine Etablissement Amsterdam but were demolished in the 1960s for the construction of the IJtunnel. The 3D models were made in Blender and based on historic maps and images from the Amsterdam City Archives, which are referenced in the CSV.</p> <p>The models include (Screenshot_Front from right to left) the MarinePalace (Marine sleeping barrack called the Marine Palace, Dutch: 'Marinepaleis' or 'Officierspaleis', which existed roughly between 1882 and juli 1968); the MarineBetween (small factory building in between MarinePalace and MarineExercise, which existed roughly between 1942 and 1965); the MarineExercise (Exercise Barrack, Dutch: 'Exercitieloods', which existed roughly between 1909 and 1965); and the MarineSchool (School for the marine, Dutch: 'Marinemonteursschool' or 'Opleidingsschool', which existed roughly between 1909 and 1965).</p> <p>The 3D models were used in a thematic standalone version of https://3d.amsterdam.nl/ during an exhibition in the Architecture Centre of Amsterdam (Arcam). </p>
Benefits of 3D Modeling
<p><strong>With 3D modeling, designers can create a model of their idea and instantly see how it will look in real life. This means less time wasted on guessing what the final product should look like when you have all this potential energy focused on one object instead of spread across multiple items or designs that may never come to fruition! Plus with so many different software programs available now--including those specifically made just for manufacturing purposes!--you'll be able to provide your clients not only an accurate representation but also give them great insight into any problem areas before getting started which saves both money (by preventing mistakes). For example, Creating an accurate 3D model of a car is not as simple and straightforward a process. The time it takes to create one can be significant, which makes choosing the right company all-the more important! </strong></p> <p><strong>For example, creating an accurate 3D model of a car is not such a simple and straightforward process. The time it takes to set it up can be significant, so it's important to choose the right company that specializes in 3D car modeling. One of these companies is <a href="https://cyber-fox.net/solutions/3d-cars">CyberFox</a> that has years of experience creating 3D models of all kinds of vehicles.</strong></p> <p><strong>The benefits of 3D modeling are numerous, and it's easy to see why businesses all over the world rely on this technology. Businesses can receive physical models in seconds instead if they need rapid responses from clients or possibilities that aren't able to come into contact with them physically due either location limitations (elevated locations) as well other reasons such how remote work may be discouraged by company policy for safety purposes; but digital renderings allow users quick access even when away from their desks!</strong></p> <p><strong>3D modeling is a powerful tool that can be used by businesses of all sizes to create sustainable products. It allows you, as the designer and manufacturer/producer alike access into your product from every angle before going into production which saves time and money since no physical prototypes need produce--and also reduces expenses!</strong></p> <p><strong>3D models are the most popular way to produce prototypes because they allow designers not only see what their design will look like before fabricating it but also take into account important factors such as production cost and time constraints.</strong></p> <p><strong>This process used to be lengthy and time-consuming, but with 3D scanning it can now be done in minutes. With this new technology we are able to create virtual sites even before design begins which means that when you come up with your perfect idea for a product or space; our engineers will have already created an accurate model of what's being designed so there won't ever need any revisions due to errors along the way!</strong></p> <p><strong>The 3D design models are extremely accurate because the technological aspects and challenges have been addressed. The outputs provide you with a more immersive experience, reducing costly errors that can happen in 2D drawings or renderings; this is especially beneficial for product development since it ensures consistency throughout all stages of production!</strong></p>
3D models: the dynamics of the prehistoric communities located in the Mostiștea Valley and Danube Plain (between Oltenița and Călărași)
<p>This dataset is part of a larger project on the dynamics of the prehistoric communities located in the Mostiștea Valley and Danube Plain (between Oltenița and Călărași), supervised by the ArchaeoSciences Division of the Research Institute of the University of Bucharest (ICUB) and Kiel University (Germany), in partnership with HOGENT, University of Applied Sciences and Arts (Belgium), Museum of Bucharest, Museum of the Lower Danube Călărași, Museum of Gumelnița Civilization Oltenița, and "Vasile Pârvan" Institute of Archaeology (Romania), under the "Sultana School of Archaeology" initiative.</p> <p>Spatial data play a crucial role in archaeological research, and orthophotos, digital elevation models, and 3D models are frequently used for the mapping, documentation, and monitoring of archaeological sites. Thanks to the availability of compact and low-cost uncrewed airborne vehicles, the use of UAV-based photogrammetry is well matured in this field over the last two decades. More recently, compact airborne systems are also available that allow the recording of thermal data, multispectral data, and airborne laser scanning. For this project, various platforms and sensors are applied at the Chalcolithic archaeological sites in the Mostiștea Basin and Danube Valley (Southern Romania). By analyzing the performance of the systems and the resulting data, insight is given into the selection of the appropriate system for the right application. This analysis requires thorough knowledge of data acquisition and data processing as well. As both laser scanning and photogrammetry typically result in very large amounts of data, a special focus is also required on the storage and publication of the data. Hence, the objective of this project is to provide a full overview of various aspects of 3D data acquisition for UAV-based mapping. Based on the conclusions drawn in our related publications, it is stated that photogrammetry and laser scanning can result in data with similar geometrical properties when acquisition parameters are appropriately set. On the one hand, however, the used ALS-based system outperforms the photogrammetric platforms in terms of operational time and the area covered. On the other hand, conventional photogrammetry provides flexibility that might be required for very low-altitude flights, or emergency mapping. Furthermore, as the used ALS sensor only provides a geometrical representation of the topography, photogrammetric sensors are still required to obtain true color- or false color composites of the surface. Lastly, the variety of data, like pre- and post-rendered raster data, 3D models, and point clouds, requires the implementation of multiple methods for the online publication of data. Various client-side and server-side solutions are presented to make the data available for other researchers.</p>
Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for in silico neuroscience
<p><strong>Supplementary Data</strong> </p> <ol> <li><strong>Supplementary Data 1</strong> contains the input (non-watertight) surface meshes of the block (shown in Figure 2a) reconstructed within the context of the EPFL-KAUST collaboration, and the corresponding output (watertight) meshes generated by Ultraliser.</li> <li><strong>Supplementary Data 2 </strong>contains a set of 20 non-watertight meshes that were randomly selected from the block shown in <strong>Supplementary Figure S54</strong> and another set of the their watertight counterparts.</li> <li><strong>Supplementary Data 3</strong> contains a set of 25 neuronal morphologies with different morphological types and their corresponding watertight meshes.</li> <li><strong>Supplementary Data 4</strong> contains a set of 25 synthetic astroglial morphologies 15 and their corresponding watertight meshes.</li> <li><strong>Supplementary Data 5</strong> contains the vascular morphology (shown in <strong>Supplementary Fig. S83</strong>) and a corresponding multi-partitioned watertight mesh.</li> <li><strong>Supplementary Data 6</strong> contains the datasets used for the comparative analysis shown in <strong>Supplementary Section 13</strong>.<br> <br> Neuronal, astrocytic and vascular morphologies are stored in SWC, H5 and VMV file formats respectively. The file structures of the SWC and VMV formats are publicly available online. The H5 files of the complete astrocyte cells can be made available from corresponding authors upon request. All the surface meshes are stored in Wavefront OBJ files. Additional STL meshes are generated to be used for TetGen to create corresponding tetrahedral meshes. All the input and generated data files are publicly available on Zenodo (10.5281/zenodo.7105941).</li> </ol> <p><strong>Data Sources</strong> </p> <ol> <li>Cellular and subcellular NGV meshes segmented from the volume shown in Figure 2 are provided by the collaborating co-authors affiliated with KAUST.</li> <li>Neuronal meshes shown in Figure 3, Supplementary Figures S55 - S75 and Supplementary Figures S85 are publicly available from the MICrONS program.</li> <li>Neuronal morphologies shown in Figure 4, Supplementary Figures S80 - S81 and Supplementary Figure S86 are publicly available from NeuroMorpho.Org.</li> <li>Astrocytic morphologies (Figure 5 and Supplementary Figure S82) are provided by Eleftherios Zisis.</li> <li>Vascular morphologies (rat’s cerebral microvasculature) shown in Figure 6 and Supplementary Figures S83 - S84 are courtesy of Bruno Weber, University of Zürich (UZH).</li> <li>The vascular morphology of the arterial arborizations shown in Supplementary Figure S88 is available from the Brain Vasculature (BraVa) database (cng.gmu.edu/brava).</li> </ol>
Mastic_3D_modeling_videos_Mingei
Documentation material from the Mastic pilot of the Mingei project
Platynereis dumerilii - Aligned serial sections of the parapodium used for the 3D Model
<p>Aligned serial semi-thin sections (1µm) of a parapodium of <em>Platynereis dumerillii. </em></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.