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6 results for “Watertight”

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zenodo40/100

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&nbsp;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.&nbsp;</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., &amp; Wolterink, J. M. (2025). SIRE: Scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks.&nbsp;<em>Medical Image Analysis</em>, 103467.</p> <p>Rygiel, P., Alblas, D., Brune, C., Yeung, K. K., &amp; Wolterink, J. M. (2024). Global Control for Local SO (3)-Equivariant Scale-Invariant Vessel Segmentation.&nbsp;<em>arXiv preprint arXiv:2403.15314</em>.</p> </blockquote>

opencc-by-nc-4.0Apr 2024View details →
zenodo40/100

ModelNet10 - Watertight

<p>Official ModelNet10 dataset from&nbsp;<a href="https://modelnet.cs.princeton.edu/">here</a>, for which&nbsp;the models were made watertight using <a href="https://github.com/hjwdzh/ManifoldPlus">ManifoldPlus</a>. The dataset is used in&nbsp;the paper Deep Surface Reconstruction from Point Clouds with Visibility Information.</p> <p>Refer to this <a href="https://github.com/raphaelsulzer/dsrv-data">GitHub repository</a> for more information.</p>

opencc-by-4.0Jan 2022View details →
zenodo36/100

Kuelap Ruins - Watertight textured mesh

Kuelap Ruins [[ this textured model was created using only the pointcloud, no original images were used in the generation of the final textures ]] made from only 55 captured frames from the following video were observed and measured using colmap dense stereo photogrammetry: https://www.youtube.com/watch?v=L1rte2FnK04 We thank Trans-Americas Journey for their wonderful travel and cultural heritage videos!! more information about this location can be found here: https://en.wikipedia.org/wiki/Ku%C3%A9lap Tools used: youtube-dl, ffmpeg, python, colmap, houdini https://www.instagram.com/organiccomputer/ Source: Objaverse 1.0 / Sketchfab

opencc-byAug 2019View details →
zenodo24/100

Karijia 003 Utcubamba - watertight textured mesh

Karijia 003 at Utcubamba Valley - watertight textured mesh 4K texture "zoomed" [[ experimental, completely procedural workflow -- testing in progress ]] original #3dscan made from 79 captured frames observed and measured using colmap dense stereo photogrammetry, from the following video: https://www.youtube.com/watch?v=5D2VaaFtH1E We thank Trans-Americas Journey for their wonderful travel and cultural heritage videos!! more information about this location can be found here: https://en.wikipedia.org/wiki/Caraj%C3%ADa Best Regards, - Alan/Organic Tools used: youtube-dl, ffmpeg, python, colmap, houdini https://www.instagram.com/organiccomputer/ Source: Objaverse 1.0 / Sketchfab

opencc-byAug 2019View details →
zenodo24/100

Karijia at Utcubamba - watertight textured mesh

Karijia at Utcubamba Valley - watertight textured mesh [[ this textured model was created using both vertex colors from the pointcloud as well as samples from the input images ]] [[ experimental, completely procedural workflow -- testing in progress ]] made from 79 captured frames from the following video, these were observed and measured using colmap dense stereo photogrammetry: https://www.youtube.com/watch?v=5D2VaaFtH1E We thank Trans-Americas Journey for their wonderful travel and cultural heritage videos!! more information about this location can be found here: https://en.wikipedia.org/wiki/Caraj%C3%ADa Best Regards, - Alan/Organic Tools used: youtube-dl, ffmpeg, python, colmap, houdini https://www.instagram.com/organiccomputer/ Source: Objaverse 1.0 / Sketchfab

opencc-byAug 2019View details →
ClinicalTrials.gov20/100

Dispervise Ophthalmic Viscoelastic as an Agent to Ensure Watertight Wound Closure After Clear Corneal Cataract Incisions

ClinicalTrials.gov study NCT01298973. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

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Allen Brain Atlas

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behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record