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908 results for “Meshes”

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zenodo44/100

Cipher Machine Hagelin M-209_surface meshes (Inv. 2017-397)

<p>Surface Meshes created from reconstructed CT-image stacks.<br> The inital CT dataset is linked as a related identifier.</p>

opencc-by-4.0Sep 2023View details →
zenodo44/100

Cipher Machine Hagelin CX-52 OTT_surface meshes (Inv. 2017-389)

<p>Surface Meshes created from reconstructed CT-image stacks.<br> The inital CT dataset is linked as a related identifier.</p>

opencc-by-4.0Sep 2023View details →
zenodo44/100

Cipher Machine Hagelin CD-57_surface meshes (Inv. 2017-387)

<p>Surface Meshes created from reconstructed CT-image stacks.<br> The inital CT dataset is linked as a related identifier.</p>

opencc-by-4.0Sep 2023View details →
zenodo44/100

Cipher Machine Hagelin CD-57 OTT_surface meshes (Inv. 2017-385)

<p>Surface Meshes created from reconstructed CT-image stacks.<br> The inital CT dataset is linked as a related identifier.</p>

opencc-by-4.0Sep 2023View details →
zenodo44/100

Cipher Machine Kryha Standard_surface meshes (Inv. 2017-384)

<p>Surface Meshes created from reconstructed CT-image stacks.<br> The inital CT dataset is linked as a related identifier.</p>

opencc-by-4.0Sep 2023View details →
zenodo44/100

Cipher Machine NEMA TD 615_surface meshes (Inv. 2017-405)

<p>Surface Meshes created from reconstructed CT-image stacks.<br> The inital CT dataset is linked as a related identifier.</p>

opencc-by-4.0Sep 2023View details →
zenodo44/100

Cipher Machine Enigma I_surface meshes (Inv. 1993-522)

<p>Surface Meshes created from reconstructed CT-image stacks.<br> The inital CT dataset is linked as a related identifier.</p>

opencc-by-4.0Sep 2023View details →
zenodo44/100

Cipher Machine Enigma M4_surface meshes (Inv. 2017-398)

<p>Surface Meshes created from reconstructed CT-image stacks.<br> The inital CT dataset is linked as a related identifier.</p>

opencc-by-4.0Sep 2023View details →
zenodo44/100

Cipher Machine Wheatstone Cryptograph_surface meshes (Inv. 1994-99)

<p>Surface Meshes created from reconstructed CT-image stacks.<br> The inital CT dataset is linked as a related identifier.</p>

opencc-by-4.0Sep 2023View details →
zenodo44/100

Cipher Machine Schlüsselgerät 41Z_surface meshes (Inv. 2013-1092)

<p>Surface Meshes created from reconstructed CT-image stacks.<br> The inital CT dataset is linked as a related identifier.</p>

opencc-by-4.0Sep 2023View details →
zenodo44/100

Cipher Machine Hagelin CX-52_surface meshes (Inv. 2017-390)

<p>Surface Meshes created from reconstructed CT-image stacks.<br> The inital CT dataset is linked as a related identifier.</p>

opencc-by-4.0Sep 2023View details →
zenodo44/100

Cipher Machine Siemens & Halske Mixer Unit One Time Tape_surface meshes (Inv. 2017-449)

<p>Surface Meshes created from reconstructed CT-image stacks.<br> The inital CT dataset is linked as a related identifier.</p>

opencc-by-4.0Sep 2023View details →
zenodo44/100

Cipher Machine TST DPT 10_surface meshes (Inv. 2017-431)

<p>Surface Meshes created from reconstructed CT-image stacks.<br> The inital CT dataset is linked as a related identifier.</p>

opencc-by-4.0Sep 2023View details →
zenodo44/100

Scrambler Phone Telta P-171D-ATS_surface meshes (Inv. 2017-407)

<p>Surface Meshes created from reconstructed CT-image stacks.<br> The inital CT dataset is linked as a related identifier.</p>

opencc-by-4.0Sep 2023View details →
zenodo44/100

Cipher Machine Philips Usfa Miniflex_surface meshes (Inv. 2017-413)

<p>Surface Meshes created from reconstructed CT-image stacks.<br> The inital CT dataset is linked as a related identifier.</p>

opencc-by-4.0Sep 2023View details →
zenodo44/100

Cipher Machine Schlüsselgerät SG 41_surface meshes (Inv. 2017-803)

<p>Surface Meshes created from reconstructed CT-image stacks.<br> The inital CT dataset is linked as a related identifier.</p>

opencc-by-4.0Sep 2023View details →
zenodo44/100

Cipher Machine Fialka M-125_surface meshes (Inv. 2018-659)

<p>Surface Meshes created from reconstructed CT-image stacks.<br> The inital CT dataset is linked as a related identifier.</p>

opencc-by-4.0Sep 2023View details →
zenodo40/100

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&rsquo;s stratigraphy. The results of this project formed the primary framework for integrating all of the broader project&rsquo;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>

opencc-by-4.0Aug 2019View details →
zenodo40/100

FESOM2 output. Pi mesh

<p>Small test dataset for FESOM2 post processing. MESH is located in pi.tar.gz file. Feel free to use it for development and testing but be aware that these data are in no way suitable for scientific use.</p>

opencc-zeroMay 2020View details →
zenodo40/100

Global Storm Tide Modeling on Unstructured Meshes with ADCIRC v55 - Simulation Results and Model Setup

<p>Simulation results and model setup for the paper entitled&nbsp;&quot;Global Storm Tide Modeling with ADCIRC v55: Unstructured Mesh Design and Performance&quot;. Simulations conducted using&nbsp;<a href="http://adcirc.org/">ADCIRC</a>&nbsp;(pre-release Version 55) on unstructured triangular meshes of the global Earth&#39;s ocean.&nbsp;</p> <p>Contains:</p> <ol> <li>Global Tide Harmonics: Simulated harmonic constituents of global astronomical tide on various mesh designs (*.53.nc).</li> <li>Local Storm Tide: ADCIRC model setup and simulation results from storm tides forced by Hurricane Katrina and Super Typhoon Haiyan on meshes with different local refinements (1.5 km, 500 m, 150 m) in the storm landfall region. <ul> <li>ADCIRC model input files (*.13, *.14, *.15, *.22, *.221, *.222, fort.rotm)</li> <li>Global maximum&nbsp;storm tide elevations (*_maxele.63.nc)</li> <li>Global 3-hourly storm tide elevation time series (*.63.nc)</li> <li>Storm tide elevation and velocity time series (20-min intervals) at selected stations (*.61.nc, *.62.nc)</li> </ul> </li> <li>Zipped archive of the ADCIRC code (adcirc-cg-GLOBAL.zip) used to produce the results archived here.</li> </ol> <p>See the README files&nbsp;for further details.</p>

opencc-by-4.0Apr 2020View details →

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electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
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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.

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OpenNeuro

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