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49 results for “3D Visualization”
HRAS_GFP zebrafish Embryo z-stack and 3D reconstruction visualized through LSFM
<p>A 2dpf zebrafish larvae is imaged through a custom developed LSFM setup developed at ICFO, at the Super-resolution Light microscopy and Nanoscopy (SLN) facility, with a resolution of 1 um, and with a double illumnation scheme.</p> <p>Pixel size is 0.43 um. Voxel depth is 2 um.</p> <p>The transgenic line is expressing HRAS_GFP labeling.</p> <p>The z-stack and corresponding 3D reconstruction are showed.</p> <p> </p> <p> </p>
Dynamic Drawings - restored interactive 3D visualizations
<p><strong>Dynamic Drawings - restored interactive 3D visualization</strong></p> <p><strong><em>Introduction:</em></strong></p> <p>As indicated on the <a href="http://demo-brill.dans.knaw.nl">original project website</a> [1], the Dynamic Drawings in Enhanced Publications project “explored ways to enrich scientific papers with such visualizations, from authoring to publishing and archiving them. The project involved publisher Brill, researchers from HuygensING, the scientific data archive DANS and game developer from Wild Card. In nine months they worked collaboratively on various instruments or processes that have been described in 17th century texts.”</p> <p>Dynamic Drawings was "part of a joint venture of the University of Amsterdam (UvA), Vrije University Amsterdam (VU) and the KNAW to support research in the digital humanities that focuses on collaboration between research institutions, non-profit organizations (e.g. cultural heritage institutions) and private companies in the creative industry to develop innovative digital research methods and new modes of valorization of humanities knowledge" (Van den Heuvel et al., 2013). The project was a collaboration between a historian of science (Museum Boerhaave), a game developer (Wild Card), scientific programmers (DANS) and a publisher (Brill Publishers).</p> <p>More specifically, the collaboration led to six interactive visualizations. As indicated by Van den Heuvel et al. (2013), these visualizations were not merely illustrations, but interactive scholarly multimedia annotations.</p> <p><em>List of visualizations:</em></p> <ol> <li>a Mill model devised by Agostino Ramelli (2013a)</li> <li>the mathematical optimizations of Fortifications (2013b)</li> <li>Rene Descartes' light refraction model (2013c)</li> <li>Swammerdam’s microscopic drawings (2013d)</li> <li>Early Modern educational materials on Surveying / Triangulation (2013e)</li> <li>an interactive Astrolabe (2013f)</li> </ol> <p>However, the interactive applications that were made during Dynamic Drawings ceased functioning, due to the Unity plug-in for the Web which was not supported anymore. As the project took a "best practice" approach to the archiving of project resources, all original source files were archived and still available via the DANS EASY data repository (see links below). In 2020, these files were put under an open CC-0 license.</p> <p>Within the <a href="https://www.virtualinteriorsproject.nl">Virtual Interiors project</a> (2018-2022), the interactive models were restored and resurrected. Due to changes in the Unity editor in the meantime, some of the aspects of the models had to be reverse-engineered. This process will also be documented in an accompanying paper (Huurdeman, van den Heuvel, Posthumus, forthcoming).</p> <p><em><strong>Project documentation:</strong></em></p> <p>van den Heuvel, C. M. J. M., Hoogerwerf, M. L., Cocquyt, T., Gilissen, V., & Thijssen, M. (2013). Dynamic Drawings in Enhanced Publications. Eindrapport KNAW PPS project. Available via: <a href="https://pure.knaw.nl/portal/nl/publications/dynamic-drawings-in-enhanced-publications">https://pure.knaw.nl/portal/nl/publications/dynamic-drawings-in-enhanced-publications</a></p> <p><em><strong>Original data deposits from 2013 (DANS EASY):</strong></em></p> <p>1. Ramelli Mill:</p> <ul> <li>Nagel, D., Cocquyt, T., (2013a): Animated, interactive 3D visualization of a corn mill, after a description by Ramelli [Data set]. DANS. <a href="https://doi.org/10.17026/dans-zzq-ymge">https://doi.org/10.17026/dans-zzq-ymge</a></li> <li>Original metadata: <a href="https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:56166/tab/1">https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:56166/tab/1</a></li> </ul> <p>2. Fortification</p> <ul> <li>Nagel, D., Cocquyt, T. (2013b): Interactive visualisation of fortification [Dataset]. DANS. <a href="https://doi.org/10.17026/dans-zkf-7wpa">https://doi.org/10.17026/dans-zkf-7wpa</a></li> <li>Original metadata: <a href="https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:56147/tab/1">https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:56147/tab/1</a></li> </ul> <p>3. Descartes Refraction</p> <ul> <li>Nagel, D., Cocquyt, T. (2013c): Interactive animation of Descartes Refraction [Dataset]. DANS. <a href="https://doi.org/10.17026/dans-zby-k8cz">https://doi.org/10.17026/dans-zby-k8cz</a> </li> <li>Original metadata: <a href="https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:56146/tab/1">https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:56146/tab/1</a></li> </ul> <p>4. Swammerdam's microscopic drawings</p> <ul> <li>Nagel, D., Cocquyt, T. (2013d): Interactive visualisation of Swammerdam’s microscopic drawings [Dataset]. DANS. <a href="https://doi.org/10.17026/dans-2an-4yaa">https://doi.org/10.17026/dans-2an-4yaa</a></li> <li>Original metadata: <a href="https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:56163/tab/1">https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:56163/tab/1</a></li> </ul> <p>5. Surveying / Triangulation</p> <ul> <li>Nagel, D., Cocquyt, T. (2013e): Interactive visualization of a surveying instruction [Dataset]. DANS. <a href="https://doi.org/10.17026/dans-xk8-5ag6">https://doi.org/10.17026/dans-xk8-5ag6</a></li> <li>Original metadata: <a href="https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:56165/tab/1">https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:56165/tab/1</a></li> </ul> <p>6. Astrolabe</p> <ul> <li>Nagel, D., Cocquyt, T. (2013f): Interactive 3D visualization of an astrolabe [Dataset]. DANS. <a href="https://doi.org/10.17026/dans-28m-zann">https://doi.org/10.17026/dans-28m-zann</a></li> <li>Original metadata: <a href="https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:54390/tab/1">https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:54390/tab/1</a></li> </ul> <p><em><strong>Live demo's of the restored visualizations:</strong></em></p> <ol> <li>Ramelli Mill: <a href="https://www.google.com/url?q=http://www.timelessfuture.com/apps/dynamicdrawings/ramellimill/&sa=D&source=docs&ust=1681207841386674&usg=AOvVaw3UVNnEy5nMyktY0BGUJ8CK">http://www.timelessfuture.com/apps/dynamicdrawings/ramellimill/</a></li> <li>Survey: <a href="https://www.google.com/url?q=http://www.timelessfuture.com/apps/dynamicdrawings/survey/&sa=D&source=docs&ust=1681207841386791&usg=AOvVaw3tIKKZzFpv_V73O6nBr0Vm">http://www.timelessfuture.com/apps/dynamicdrawings/survey/</a></li> <li>Astrolabe: <a href="https://www.google.com/url?q=http://www.timelessfuture.com/apps/dynamicdrawings/astrolabe/&sa=D&source=docs&ust=1681207841386837&usg=AOvVaw2D-U58C8l5XOFtjjfu8_9s">http://www.timelessfuture.com/apps/dynamicdrawings/astrolabe/</a></li> <li>Refraction: <a href="https://www.google.com/url?q=http://www.timelessfuture.com/apps/dynamicdrawings/refraction/&sa=D&source=docs&ust=1681207841386877&usg=AOvVaw3MszPsh7LmSDU9GlXdc1V5">http://www.timelessfuture.com/apps/dynamicdrawings/refraction/</a></li> <li>Fortification: <a href="https://www.google.com/url?q=http://www.timelessfuture.com/apps/dynamicdrawings/fortification/&sa=D&source=docs&ust=1681207841386918&usg=AOvVaw2OeEtgocrWYzfhDCUZef2-">http://www.timelessfuture.com/apps/dynamicdrawings/fortification/</a></li> <li>Swammerdam drawings: <a href="https://www.google.com/url?q=http://www.timelessfuture.com/apps/dynamicdrawings/swammerdam/&sa=D&source=docs&ust=1681207841386957&usg=AOvVaw2ElZVz2XkOzWd31Y9L8qz6">http://www.timelessfuture.com/apps/dynamicdrawings/swammerdam/</a></li> </ol> <p><em><strong>Repository file structure:</strong></em></p> <p>Original research underlying the interactive visualizations can be found <a href="https://pure.knaw.nl/portal/nl/publications/dynamic-drawings-in-enhanced-publications">here</a>.<br> In this dataset, the following files are provided for each visualization (#1 - #6):</p> <ol> <li><strong>Unity source files</strong> (updated Unity project files and source code) <ul> <li>Unity files and settings. Including source code (<em>Assets/Scripts</em> folder), 3D model elements in OBJ-format (<em>Assets/Models </em>folder), images and GUI images (<em>Assets/Textures</em> folder) and Unity scene (<em>Assets/Scenes</em> folder)</li> </ul> </li> <li><strong>WebGL_application </strong>(exported version of the application) <ul> <li>HTML files, using <a href="https://www.khronos.org/webgl/">WebGL</a> technology. Exports from the Unity application, which can be uploaded to a web server</li> </ul> </li> <li><strong>3D models</strong> (if available) <ul> <li>Exported (static) combined 3D models from the application, as <a href="https://www.khronos.org/gltf/">GLTF</a> and <a href="https://en.wikipedia.org/wiki/FBX">FBX</a> files. In addition, 3D model elements (in <a href="https://en.wikipedia.org/wiki/Wavefront_.obj_file">OBJ</a>-format) are included within the Unity source files (see above)</li> </ul> </li> <li><strong>Documentation</strong> <ul> <li>Screen_recordings. For visual reference, screen recordings of the original Unity application</li> <li>Screenshots. For visual reference, screenshots of the original Unity application</li> </ul> </li> </ol> <p><strong><em>Further information regarding Ramelli Mill visualization (visualization #1):</em></strong></p> <ul> <li>The algorithms driving the mill behavior can be found in the file <em>Ramelli_Mill/Unity_source_files/Assets/Scripts/Mill.cs</em> (C# programming language).</li> <li>The documentation of the underlying algorithms is available in Van den Heuvel et al. (2013), Dynamic Drawings in Enhanced Publications (p.28-31): <em>"The backbone of the enrichment [was] a dynamic algorithm, driving the 3D mill which was modeled after the engravings, and taking input from five sliders that adjust the variables." </em>For further details about the original modeling choices for this algorithm, see that publication.</li> </ul> <p><strong><em>Further technical notes from the restoration process:</em></strong></p> <ul> <li>The Unity source files contain the editable assets and programming code used for creating the application. The development of technologies occurs at a rapid pace, as a result Unity frequently changes between versions, often necessitating changes to make the Unity source code compatible with a new version. The version in which the visualizations were created was Unity version 4.1.3f3, available in the Unity download archive, <a href="https://unity3d.com/get-unity/download/archive">https://unity3d.com/get-unity/download/archive</a>. The last working version in Windows/MacOS which the source files could be opened was 4.5.5. This version was then upgraded in steps to version Unity editor version 2019.4.40f1, while correcting occurring issues along the way.</li> <li>For scripting, Unity uses a standard programming language (C#), but the underlying names of functions supported by Unity change from time to time. We could resolve these issues using available documentation of various versions of Unity (<a href="https://docs.unity3d.com/Manual/index.html">https://docs.unity3d.com/Manual/index.html</a>), and via unofficial answers to user questions posted on the Unity development forum (<a href="https://forum.unity.com/">https://forum.unity.com/</a>).</li> </ul> <p><em><strong>Usage instructions for Unity source files:</strong></em></p> <ul> <li>Download and install Unity LTS version 2019.4.40f1 (see: <a href="https://unity.com/releases/editor/archive">https://unity.com/releases/editor/archive</a>)</li> <li>Add the project to Unity via Unity Hub (Open > Add project from disk)</li> <li>Open the project</li> <li>In the Unity editor, choose the scene “Main” under project assets</li> <li>Run the application within the editor, or create a new build via File > Build settings. This way, custom versions of the application can be built for Windows, Mac, Linux or other platforms.</li> </ul>
Intramuros 2D and 3D Visualizations
<p>This dataset was generated through a thesis titled:</p> <p>Disaster Dimensions: Utilizing Geospatial Technologies and Scenario Building for Effective Inundation Risk Management and Communication in Intramuros, Manila</p> <p>Using digital terrain model (DTM) and digital surface model (DSM) data derived from point clouds, the study generated permanent and temporary inundation scenarios of Intramuros, Manila from 2030 to 2150. Permanent inundation scenarios incorporate land subsidence rates and sea level rise projections from the Intergovernmental Panel on Climate Change (IPCC) and National Aeronautics and Space Administration (NASA), considering Shared Socioeconomic Pathways (SSPs). Temporary inundation scenarios integrate storm surge advisories to visualize flood extents per advisory level.</p> <p><span>Acknowledgments:</span></p> <p><span>The sea level rise projections were supported by several grants from NASA (80NSSC17K0698, 80NSSC20K1724, 80NSSC21K0322, and JPL task 105393.509496.02.08.13.31), NSF (ICER-1663807), U.K. NERC (NE/T009381/1 and NE/T007443/1), NIOZ, and the EU’s Horizon 2020 programme (grant 869304). In addition, I acknowledge the World Climate Research Programme, the CMIP6 climate modeling groups, and the Earth System Grid Federation (ESGF) for data access and archiving. <br><br>The drone-derived aerial imagery of Intramuros was provided by OpenStreetMap PH and DATUM PH under the 2021 Drone Imagery Collection Grant.</span></p>
HiCube: Interactive visualization of multiscale and multimodal Hi-C and 3D genome data
<p>Test dataset for HiCube.</p> <p>HiCube is a lightweight web application for interactive visualization and exploration of diverse types of genomics data at multiscale resolutions. Especially, HiCube displays synchronized views of Hi-C contact maps and three-dimensional (3D) genome structures with user-friendly annotation and configuration tools, thereby facilitating the study of 3D genome organization and function.</p> <p>HiCube is implemented in Javascript and can be installed via NPM. The source code is freely available at GitHub (https://github.com/wmalab/HiCube).</p>
General-Relativistic Hydrodynamics Simulation of a Neutron Star — Sub-Solar-Mass Black Hole Merger - 3D Density Visualization
<p>Matter density distribution of our simulation of a neutron star -- sub-solar mass black hole merger; cf. color bar to obtain a density estimate. The gray region represents the apparent horizon of the black hole.</p> <p>Visualization: Ivan Markin (University of Potsdam); Data: Swami Vivekanandji Chaurasia (Stockholm University)</p> <p>Simulations for the project have been performed on the national supercomputer HPE Apollo Hawk at the High Performance Computing (HPC) Center Stuttgart (HLRS) under the grant number GWanalysis/44189, on the GCS Supercomputer SuperMUC NG at the Leibniz Supercomputing Centre (LRZ) [project pn29ba], and on the HPC systems Lise/Emmy of the North German Supercomputing Alliance (HLRN) [project bbp00049] for the final production runs. The particular simulation shown here has been run on HLRN.</p>
AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments - Supplementary Data
<p><strong>Introduction</strong></p> <p>In this zip, we release the auxiliary data that is beneficial to execute the implementation of AVLEN described in our paper AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments by Sudipta Paul, Amit K Roy-Chowdhury, and Anoop Cherian, NeurIPS, 2022.</p> <p><strong>At a Glance</strong></p> <ul> <li>The size of the unzipped data is 4.6G</li> <li>The unzipped folder contains: (i) a README.md file and (ii) ./AVLEN-data folder. The latter contains the following zip files. Please see the AVLEN code to see how to unzip these files into their respective folders. <ul> <li>ckpt.119.pth -- 61M </li> <li>connectivity.zip -- 1.4M </li> <li>pretrained_weights.zip -- 1.7G</li> <li>ResNet-152-imagenet.zip -- 2.9G</li> <li>semantic_audionav_dialog_approx.zip -- 2.7M</li> <li>soundspaces.zip -- 479K</li> <li>speaker_model_weights.zip -- 51M</li> </ul> </li> </ul> <p><strong>Other Resources</strong></p> <p>For the implementation of AVLEN that uses the data shared here, please visit <a href="https://www.merl.com/publications/TR2022-131">MERL TR2022-131</a>.</p> <p><strong>Citation</strong></p> <p>If you use AVLEN in your research, please cite our paper:</p> <pre><code>@InProceedings{paul2022avlen, title={AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments}, booktitle={Advances in Neural Information Processing Systems}, author={Paul, Sudipta and Roy-Chowdhury, Amit and Cherian, Anoop}, volume={35}, pages={6236--6249}, year={2022} }</code></pre> <p><strong>Copyright and License</strong></p> <p>The AVLEN dataset is released under CC-BY-SA-4.0 license.</p> <p>All data:</p> <pre><code>Created by Mitsubishi Electric Research Laboratories (MERL), 2023 SPDX-License-Identifier: CC-BY-SA-4.0</code></pre> <p> </p>
Experimental and Simulation Results of "3D Printed Biomodels for Flow Visualization in Stenotic Vessels: An Experimental and Numerical Study" - version 2
<p>This repository contains the experimental and simulation results of the article "3D Printed Biomodels for Flow Visualization in Stenotic Vessels: An Experimental and Numerical Study" by Carvalho, V., Rodrigues, N., Ribeiro, R., Costa, P., Lima, R., Teixeira, S., published in <em>Micromachines</em> <strong>11, 6</strong> (2020). https://doi.org/10.3390/mi11060549</p>
3D rendering (left) and 2D orthoslice (rigth) of a virtual longitudinal section in the chorda tendinea insertion into the papillary muscle allowing to visualize the transition from collagen to muscle fibers
<p>The white square on the 3D rendering indicates the region-of-interest shown on the right. At the beginning of the video, the yellow and<br> blue arrows indicated the presence of adipocytes and a vessel filled with blood.</p>
Evaluation of Head-Mounted Spatial Computing and Three-Dimensional (3D) Visualization in Ocular Microsurgery: A Safety and Workflow Study
ClinicalTrials.gov study NCT07301385. IPD Sharing: NO. Countries: 1. Publications: 3.
3D Visualization System in Highly Myopic Cataract Operation
ClinicalTrials.gov study NCT06264830. IPD Sharing: NO. Countries: 1. Publications: 10.
Interactive 3D Visualization Technique Used in Pulmonary Rehabilitation Programme in COPD
ClinicalTrials.gov study NCT02802618. IPD Sharing: NO. Countries: 1. Publications: 1.
A Study of 3D Visualization Techniques to Improve the Quality and Safety of Robot-assisted Nephron Sparing Surgery for Complex Renal Tumors.
ClinicalTrials.gov study NCT06717009. IPD Sharing: UNDECIDED. Countries: 1. Publications: 8.
Effects of Autostereoscopic 3D Visual Training on Binocular Vision Function of Myopes
ClinicalTrials.gov study NCT06266910. IPD Sharing: NO. Countries: 1. Publications: 6.
3D Visualization in Geo-applications
<p>The use of 3D visualization technologies has increased rapidly in many applied fields, including geovisualization, and has been researched from many different perspectives. However, the findings for the benefits of 3D visualization, especially in stereoscopic 3D forms, remain inconclusive and disputed. Stereoscopic “real” 3D visualization was proposed as encouraging the visual perception of shapes and volume of displayed content yet criticised as problematic and limited in a number of ways, particularly in visual discomfort and increased response time in tasks. In order to assess the potential of real 3D visualization for geo-applications, 91 participants were engaged in this study to work with digital terrain models in different 3D settings. The researchers examined the effectivity of stereoscopic real 3D visualization compared to monoscopic 3D (or pseudo 3D) visualization under static and interactive conditions and applied three tasks with experimental stimuli representing different geo-related phenomena, i.e. objects in the terrain, flat areas marked in the terrain and terrain elevation profiles. The authors explored the significant effects of real 3D visualization and interactivity factors in terms of response time and correctness (effectiveness and efficiency). Further, mouse clicks were captured while completing tasks. </p>
3D-visualization of archaeocyaths with canals
Open the record for dataset details and reuse information.
Evaluation of 3D Visualization for Total Colectomy
ClinicalTrials.gov study NCT02370056. IPD Sharing: NO. Countries: 1. Publications: 0.
VISION-3D: Visual Skills Improvement With On-screen 3D Movies.
ClinicalTrials.gov study NCT07301645. IPD Sharing: NO. Countries: 0. Publications: 1.
Non-invasive 3D visualization of the sponge-inhabiting barnacle Acasta sulcata (Crustacea: Cirripedia: Balanomorpha) from the Moluccas, Indonesia
<p>We present a digital reconstruction (video) of non invasive microCT scans of barnacle specimens (<em>Acasta sulcata</em>; catalogue number MZB Cru Cir 185, Indonesia) embedded in their sponge host (<em>Spongia</em> sp.) from the Indonesian island Saparua, Moluccas (for details see Pitriana et al. 2020; doi: <a href="http://dx.doi.org/10.14203/treubia.v47i2.3968">10.14203/treubia.v47i2.3968</a>). </p> <p>The sponge specimen, which was supposed to host barnacles, was subjected to micro-tomographic analysis at the Museum für Naturkunde Berlin, using a Phoenix nanotom X-rays tube at 90 kV and 150 µA, generating 1440 projections. The specimen was fixed with foam in a sealed plastic tube in an ethanol-saturated atmosphere. Cone beam reconstruction was performed using the phoenix/x-ray datos/x version 2.3.3 software (GE Sensing and Inspection Technologies GmbH). Effective voxel size, i.e. resolution in three-dimensional space, is 13.33 µm. Data were visualized in VG Studio Max, version 3.1. In the video, barnacles are shown as an isosurface in red color, the surrounding sponge tissue as volume rendering in grey color (original length of sponge host 10 cm; length of barnacles approx. 2.5 mm).</p> <p>This study is part of Pipit Pitriana's PhD project (<a href="https://refubium.fu-berlin.de/handle/fub188/29031">https://refubium.fu-berlin.de/handle/fub188/29031</a>) funded by the Ministry of Research, Technology and Higher Education, the Republic of Indonesia within the Program for Research and Innovation in Science and Technology (RISET-Pro), World Bank Loan No. 8245-ID. We thank Kristin Mahlow and Johannes Müller for their support at the MfN Berlin and Frank Riedel (FU Berlin) for his general support.</p>
Heart structure as visualized with high-resolution normal multiscan mode CECT in 3D (left) and on 2D orthoslice (right)
<p>Ao = aorta, RV = right ventricle, LV = left ventricle, RA = right atrium, LA = left atrium, RAA = right atrial appendage, LAA = left atrial appendage, PV = pulmonary valve, TV = tricuspid valve, AV = aortic valve, MV = mitral valve, PM = papillary muscle.</p>
Application and Safety Evaluation of 3D Visualization System in Microsurgical Training
ClinicalTrials.gov study NCT05865860. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.