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Dataset results
29 results for “Pointcloud”
Gault2015_Georeffed_PointClouds&Meshes
<p>The Gault Site (421BL323) is a multi-component site with virtually every interval in the regional prehistoric record represented. Deposits in different parts of the site result from various mixes of anthropic and geologic processes (fluvial, colluvial, aeolian) as well as pedogenesis. At this site, Dr. Michael Collins and Dr. Bruce Bradley collaborated with SPARC researchers to undertake high-resolution scanning and photogrammetric documentation of an exposed stratigraphy in a 3-m thick section significant for its long archaeological record and particularly for the presence of a substantial pre-Clovis component , situated stratigraphically below Clovis and dated with OSL on aeolian grains from ca. 16,000 to 13,200. As is true of all sites claiming to have evidence for older-than-Clovis occupation, Gault was subjected to intense scrutiny, and supports future independent research on the evidence is seen as essential by the co-PIs. Site formation processes are at the heart of the evidence for integrity of the stratigraphic section, with its pre-Clovis component underlying its Clovis component. Therefore the morphology and topography of the excavated area were recorded carefully, as part of an effort to create the fullest and most detailed possible documentation of the site’s stratigraphy. The results of this project formed the primary framework for integrating all of the broader project’s geologic observations and sampling results.</p> <p>This project aimed to provide 3D data for the Gault Area 15 excavation, with particular attention paid to the trench and the bedrock. It contains raw and processed laser scanning data captured using a Leica C10 and processed in Leica Cyclone. It also includes photogrammetric data captured using a Samsung NX 2000 DSLR camera and processed in Agisoft Photoscan Pro.</p> <p>This upload contains the raw laser scanning data for each station. Each .zip file contains the complete raw data for each station as well as a FileList.txt file indexing all files included in the .zip file.</p> <p><em>This research was supported by the National Science Foundation, Abell-Hanger Foundation, ExxonMobil Foundation, Archaeological Institute of America, Summerlee Foundation, and Texas Historical Foundation along with numerous individuals.</em></p>
POINTCLOUD / Hinamatsuri Dolls (not so hires)
I tried to capture this using the iPhone 12 Pro Lidar, but the resolution cannot go too details at the moment. This is a Hinamatsuri Dolls exhibition at Sydney JPF / Japanese Foundation Library. Footage is like this: https://www.youtube.com/watch?v=O88a1qz3mNQ Source: Objaverse 1.0 / Sketchfab
Tottieska malmgården, Faro Pointcloud, Decimated
Tottieska malmgården in Skansen, Stockholm. Built in 1770. https://sv.wikipedia.org/wiki/Tottieska_malmg%C3%A5rden A film about the restoration: https://www.youtube.com/watch?v=BCk1Irxw414 This scan is part of the work to compare different scanner types and brands for different tasks on behalf of Digisam. Digisam coordinates the digitization of 22 heritage institutions. www.digisam.se Report can be found here: http://hagaeus.se/kunskapsbank/ Decimated from 259 770 177 points to 4 833 345 points. Five scanpositions at different resolutions with an average scan time of 7 minutes each. Source: Objaverse 1.0 / Sketchfab
Stütze Burg Pfalzgrafenstein - Pointcloud
Photogrammetry from a part of the "Burg Pfalzgrafenstein" in Germany. Build with VisualSFM and meshlab. It was for testing and a use in a VR enviroment. Use it, have fun :-) Source: Objaverse 1.0 / Sketchfab
Kosciuszko's Monument (pointcloud)
Sculptor: Unknown <br> Localisation: Kościuszko Park, Katowice, Poland <br> Disclosure: 1925 <br> <a href="https://www.flickr.com/photos/186361763@N06/albums/72157715842306611" title="Pomnik Tadeusza Kościuszko"></a><br> GPS: 50.244933, 19.000659 [https://goo.gl/maps/e6UX17WgXZag5Jqe8](https://goo.gl/maps/e6UX17WgXZag5Jqe8) Source: Objaverse 1.0 / Sketchfab
POINTCLOUD / Newtown Wall
I am testing Everypoint app to scan this wall, it's over 10 meter height. Source: Objaverse 1.0 / Sketchfab
POINTCLOUD / Hinamatsuri Dolls
I captured this one using Everypoint app. Eventhough it feels low resolution but the point cloud is very nice grid like. Always the advantage of Everypoint. Source: Objaverse 1.0 / Sketchfab
Boxer Pointcloud [Twitter Video Test]
A quick test made with a video from Twitter: https://twitter.com/SarahEBond/status/1154827774915485696 Video frames extracted with [Free Video to JPG Converter](https://www.dvdvideosoft.com/products/dvd/Free-Video-to-JPG-Converter.htm) + pointcloud processed in RealityCapture and converted to .PLY with Meshlab Source: Objaverse 1.0 / Sketchfab
Monument to the Mining Effort (pointcloud)
Design: Tadeusz Łodziana<br> Location: : ul. Kazimierza Pułaskiego, Osiedle Paderewskiego-Muchowiec, Katowice <br> Disclosure: 1986 r.<br> [For a more detailed model, click here](https://skfb.ly/6TL6Z) <br> Erected during the communist era as a counterbalance for the movements organized by miners after the pacification of Wujek coal mine in 1981. Currently, the square in front of the monument is used as a skatepark and it properly equipped for this purpose (after renovation in 2011). Such sort of communist background adapted for a modern purpose can only be seen in Katowice. <a title="Pomnik Trudu Górniczego" href="https://www.flickr.com/photos/186361763@N06/albums/72157715045789133"></a><br> GPS: 50.244978, 19.041099 <br> [Localisation](https://goo.gl/maps/prMrb1oLzAuWQH3Y8)<br> Source: Objaverse 1.0 / Sketchfab
Conegliano Synagogue - Apple LIDAR Pointcloud
Reconstructed Synagogue of the Jewish community of Conegliano Italy. Today in Jerusalem. The Nahon Museum of Italian Jewish Art. Point Cloud 4 scans, merged in CloudCompare. Apple LIDAR scan - iPad Pro Source: Objaverse 1.0 / Sketchfab
Rocktopo Sensing Mountains Summer School 2024: UAV images, pointcloud and TLS pointclouds
<p>This dataset contains high-resolution 3D scans of an outdoor rock climbing wall, captured using both <strong>Unmanned Aerial Vehicle (UAV)</strong> photogrammetry and <strong>Terrestrial Laser Scanning (TLS)</strong>. The dataset includes images from the UAV, the reconstructed point cloud derived from photogrammetry, and the point cloud from TLS. These scans were conducted on the following dates:</p> <p>The used TLS was a Trimble X7 and the UAV a DJI Spark.</p> <ul> <li> <p><strong>TLS (Terrestrial Laser Scanning)</strong>: Provided in <code>TLS_240924</code> or <code>TLS_240925</code>, this folder contains the point cloud data captured via TLS, offering highly accurate and detailed 3D geometry of the climbing wall surface. In LAS format.</p> </li> <li> <p><strong>UAV Images: </strong>Stored in <code>UAV_240924</code> or <code>UAV_240925</code>, these subdirectories contain a set of aerial images taken from the UAV, which were later used to reconstruct the 3D point cloud of the rock climbing wall. In JPEG format.</p> </li> <li> <p><strong>Photogrammetric Point Cloud (LAS)</strong>: The resulting 3D point cloud from UAV photogrammetry is stored in <code>LAS_240924</code> or <code>LAS_240925</code>. These files represent the spatial data and geometry derived from processing the UAV images using photogrammetry techniques. In LAS format.</p> </li> <li><strong>Aligned Point Cloud (ICP)</strong>: The ICP aligned clouds that were used for analysis are stored in <code>ICP</code>. These files represent the spatial data and geometry derived from aligning the TLS and UAV clouds. In LAS format.</li> <li><strong>Potree Point Cloud (folder)</strong>: Octree converted pointclouds used in the <a href="https://github.com/jurriandoorbos/potree-rocktopo" target="_blank" rel="noopener">Potree rocktopo</a> visualization.</li> <li><strong>Route Points</strong>: Polylines of every route in the lower location, in .poly (x y z) format.</li> </ul> <p>The combination of both photogrammetric and laser scanning data provides a comprehensive and high-fidelity 3D representation of the climbing wall, useful for geospatial analysis, surface reconstruction, and outdoor modeling applications. The pointclouds are not georeferenced.</p> <p><strong>Please note: </strong>the TLS and UAV were taken simultaneously: the same location is therefore:<strong> UAV/LAS_240924 fits with TLS_250924</strong> and vice-versa.</p> <p> </p>
Swiss3DCities: Aerial Photogrammetric 3D Pointcloud Dataset with Semantic Labels
<p>We introduce a new outdoor urban 3D pointcloud dataset, covering a total area of 2.7 km<sup>2</sup>, sampled from three Swiss cities with different characteristics. The dataset is manually annotated for semantic segmentation with per-point labels, and is built using photogrammetry from images acquired by multirotors equipped with high-resolution cameras. In contrast to datasets acquired with ground LiDAR sensors, the resulting point clouds are uniformly dense and complete, and are useful to disparate applications, including autonomous driving, gaming, smart city planning, and robotics.</p>
Minecraft AngkorWat PointCloud Test
Expanded and finished my previous cambodian minecraft build, but can't find an easy way to export the modded blocks. So I tried using the photogrammetry method and made a point cloud scene with 64 ingame screenshots. This was also my first time trying out photogrammetry, so sorry if the scan is bad. But I somehow really like the paintery effect atm ***** **4K Screenshots Imgur Album:** [](https://imgur.com/a/wxFqc) [**Map Download**](https://drive.google.com/open?id=1AiKL1NqO-h8UB5zENTS7ognEFQ3X--tg) *(need to install the mods and resourcepack linked below):* ***** Minecraft 1.10.2 [Optifine](http://optifine.net/downloads) [Conquest Reforged Mod](https://minecraft.curseforge.com/projects/conquest-reforged) + [Resourcepack](https://minecraft.curseforge.com/projects/conquest-reforged-resource-pack) Modified SEUS shader Agisoft PhotoScan Source: Objaverse 1.0 / Sketchfab
McKinney House - Livox Avia pointcloud
3D point cloud of the McKinney House (La Mesa Historical Society), obtained in four passes with a Livox Avia LiDAR scanner. Composited in CloudCompare. Source: Objaverse 1.0 / Sketchfab
Lion Paestum pointcloud
Created with micmac Source: Objaverse 1.0 / Sketchfab
Chapel - Baranyahídvég - Hungary (pointcloud)
Source: Objaverse 1.0 / Sketchfab
POINTCLOUD / Rainbow Bench
Source: Objaverse 1.0 / Sketchfab
Bimaristan Nur Al Din, Pointcloud uniform
Lidar data, from open heritage. Uniform and clean point cloud. Over eight centuries old, the Bimaristan Nur al-Din, is the earliest surviving site for the development of Islamic medicine. Throughout the building's lifetime, the site has functioned as a medical school as well as a place of healing in the heart of the old city of Damascus. Built in 1154, the building is characterized by its red brick muqarnas, elaborate entrance block, and finely carved wooden doors. The hospital was in use until the 20th century when it was converted into a Museum of Arabic Medicine and Science. The preservation of the building is a reminder of the major contributions of Islamic medicine to the world today. CyArk 2019: Bimaristan Nur al-Din - LiDAR - Terrestrial , Photogrammetry - Terrestrial . Collected by Directorate General of Antiquities and Museums . Distrubuted by Open Heritage 3D. https://doi.org/10.26301/nkv2-bn91 Source: Objaverse 1.0 / Sketchfab
McKinney House pointcloud - WebODM using an ILC
Pointcloud of the McKinney House in La Mesa, CA. Cloud was created using WebODM from images taken with an Olympus ILC. Postprocessing in CloudCompare. Source: Objaverse 1.0 / Sketchfab
Gabriel archangel (pointcloud)
Budapest - Heroes square Source: Objaverse 1.0 / Sketchfab
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.