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882 results for “3d model”

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zenodo24/100

3D Print Amon Ra Egypt Model

Blender highpoly course project and my first character design sculpt of Egyptian God Ra, Model have uvs and textures but you need to download to see it. (I don't know why preview does not show all textrues.), In a preview you can see an opimized obj version (5% decimation), BLENDER 2.8 or higher required to open file format, All subtools are correctly named, I Hope you will like it! Eligible for 3D print, Please comment to improve ideas for myself and mycharacter.. Source: Objaverse 1.0 / Sketchfab

opencc-byJan 2021View details →
zenodo24/100

Damru - 3d model - Small Two Headed Drum - India

Damru - 3d model - Small Two Headed Drum - India Download it for free with Textures 2k Thank you Source: Objaverse 1.0 / Sketchfab

opencc-byAug 2022View details →
zenodo24/100

3D model of Sarmizegetusa - Sacred area

3D model of Sarmizegetusa - Sacred area (2048709 Object HA 1238) http://europeana.eu/portal/record/2048709/object_HA_1238.html Rights: Muzeul Național de Istorie a României http://creativecommons.org/publicdomain/zero/1.0/ ***The cultural heritage belongs equally to everyone, allow free total access to it!*** Source: Objaverse 1.0 / Sketchfab

opencc-byFeb 2016View details →
zenodo24/100

Mardin 3d model

Tarihi ile meşhur Mardin şehrinin 3 boyutlu bir modelidir. Eyup Akkurt Source: Objaverse 1.0 / Sketchfab

opencc-byFeb 2019View details →
zenodo24/100

Figure 3 from: Cecchetto M, Alvaro MC, Ghiglione C, Guzzi A, Mazzoli C, Piazza P, Schiaparelli S (2017) Distributional records of Antarctic and sub-Antarctic Ophiuroidea from samples curated at the Italian National Antarctic Museum (MNA): check-list update of the group in the Terra Nova Bay area (Ross Sea) and launch of the MNA 3D model 'virtual gallery'. ZooKeys 705: 61-79. https://doi.org/10.3897/zookeys.705.13712

Figure 3 - Map of the Ross Sea sampling locations.

opencc-by-4.0Oct 2017View details →
zenodo24/100

Figure 5 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 5 Workflow of image masking using front- and back-light information.

opencc-by-4.0May 2018View details →
zenodo24/100

Figure 4 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 4 Workflow of EDOF-calculation. For a detailed description, see Suppl. material 1: S2.

opencc-by-4.0May 2018View details →
zenodo24/100

Figure 18 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 18 Interactive, textured 3D-model of Anoplotrupes stercorosus (21 mm body size).

opencc-by-4.0May 2018View details →
zenodo24/100

Figure 16 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 16 Interactive 3D-model of Helicodonta obvoluta (9 mm shell diameter).

opencc-by-4.0May 2018View details →
zenodo24/100

Figure 15 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 15 Interactive 3D-model of Prosopocoilus savagei (23 mm body size).

opencc-by-4.0May 2018View details →
zenodo24/100

Figure 14 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 14 Interactive 3D-model of Pogonocherus hispidus (6 mm body size).

opencc-by-4.0May 2018View details →
zenodo24/100

Figure 13 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 13 Interactive 3D-model of Oscinella frit (1.5 mm body size).

opencc-by-4.0May 2018View details →
zenodo24/100

Figure 1 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 1 Schematic setup (A) and image (B) of the Darmstadt Insect Scanner DISC3D.

opencc-by-4.0May 2018View details →
zenodo24/100

Figure 6 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 6 Calibration sphere (A) and camera positions estimated in PhotoScan Pro (B).

opencc-by-4.0May 2018View details →
zenodo24/100

Dataset and 3D Vs Model for "Crustal velocity images of north-western Türkiye along the North Anatolian Fault Zone from transdimensional Bayesian ambient seismic noise tomography"

<p>Final 3D Vs model and dispersion data&nbsp;for the paper entitled&nbsp;&quot;Crustal velocity images of north-western T&uuml;rkiye along the North Anatolian Fault Zone from transdimensional Bayesian ambient seismic noise tomography&quot;.</p> <p>In the vel_files folder, there are 10 files for each depth for 1-15 km. The format of each velocity&nbsp;file is as follows:</p> <p>Column&nbsp;&nbsp;&nbsp;&nbsp; Value<br> 1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Lattitude (&deg;)<br> 2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Longitude&nbsp;(&deg;)<br> 3&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Vs (km/s)</p> <p>The format of the dispersion data is as follows (See <a href="https://www.eas.slu.edu/eqc/eqc_cps/TUTORIAL/EMPIRICAL_GREEN/example1.html">Computer Programs in Seismology Tutorials - do_mft</a>&nbsp;for more information on the format):</p> <p>Column&nbsp;&nbsp;&nbsp;&nbsp; Value<br> 1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Type of file, MFT96<br> 2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Wave type: R for Rayleigh&nbsp;<br> 3&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Dispersion type:&nbsp; U for group velocity<br> 4&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Mode: 0 represents the fundamental mode<br> 5&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Filter period, T,&nbsp; in seconds<br> 6&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Dispersion value, either group or phase<br> 7&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Error in dispersion. This is just a place holder since there is no way to estimate an error from a single trace. The group velocity error is determined from the ratio of the filter period to travel time<br> 8&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Distance in km<br> 9&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Azimuth from the source to the receiver<br> 10&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Spectral amplitude.&nbsp;<br> 11&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Epicenter latitude&nbsp;<br> 12&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Epicenter longitude<br> 13&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Station latitude<br> 14&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Station longitude<br> 15&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; control flag<br> 16&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; control flag<br> 17&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Instantaneous period if this is preferred. This differs from the ilter period because the signal spectram is not flat.<br> 18&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Comment:&nbsp;&nbsp;&nbsp; keyword<br> 19&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Station&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<br> 20&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Component<br> 21&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Year<br> 22&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Day of year<br> 23&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Hour<br> 24&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Minute&nbsp;&nbsp;&nbsp; - these identify the event origin time&nbsp;&nbsp;</p>

opencc-by-4.0Feb 2023View details →
zenodo24/100

Models and data in support of "EMFEM: a parallel 3D modeling code for frequency-domain electromagnetic method using goal-oriented adaptive finite element method"

<p>These directories contain the model and data files for &quot;EMFEM: a parallel 3D modeling code for frequency-domain electromagnetic method using goal-oriented adaptive finite element method&quot;.<br> &nbsp;</p>

opencc-by-4.0Jun 2023View details →
zenodo24/100

3D modeling of positive streamers in air with inhomogeneous density

<p>This dataset contains the data&nbsp;used to generate the simulation results&nbsp;presented in the paper titled &quot;3D modeling of positive streamers in air with inhomogeneous density&quot;. It includes (1) the source code; (2) transport data files as input;&nbsp;and&nbsp;(3) configuration files for running the simulations.</p>

opencc-by-4.0May 2023View details →
zenodo24/100

Crucifix To Print 3D Print Model (STL)

**Crucifix to print** 3D printing model (STL), projects or games. When importing, selecting, if necessary, you can change the model size. All formats tested and working. Models are polygonal (verts and tris). For ease of use, objects are named logically (using the English language). Stl, Obj, Fbx, Dae, Mtl, Blend formats Package includes replaceable standard setup material. Source: Objaverse 1.0 / Sketchfab

opencc-byOct 2021View details →
zenodo24/100

Stones- And- Buried- Treasure- Pack-3D- Model

Stones- And- Buried- Treasure- Pack-3D- Model made in blender it has fbx file with textures pack Source: Objaverse 1.0 / Sketchfab

opencc-bySep 2021View details →
zenodo24/100

Jobbers House 3D Model

Cloud Compare was used to create the mesh for this 3D model, which is quite large and needs to be decimated for quicker loading time. Note the missing roof sections due to gaps in the point cloud data. Source: Objaverse 1.0 / Sketchfab

opencc-byMay 2019View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
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