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5,635 results for “3D”
3D model of a cairn grave near the Bear Trap in Northwest Greenland
<p>This dataset consists of a 3D dense point cloud and a textured mesh model (see the README file) of a cairn grave that is positioned near ‘The Bear Trap’. The Bear Trap is a Norse ruin at the western end of the Nuussuaq Peninsula. The 3D model was created from 639 digital photographs that were processed using Agisoft Metashape Pro v1.7; Linux Ubuntu). A 24 megapixel Sony a6000 APS-C mirrorless camera fitted with a 17 mm lens was used to acquire ground-level imagery of the structure.</p> <p>The image survey was conducted as part of the Vaigat Iceberg-Microbial Oil Degradation and Archaeological Heritage Investigation (VIMOA) project, which was funded by the Danish Centre for Marine Research and supported by the Arctic Research Centre at Aarhus University, the National Museum of Denmark, the Greenland Institute of Natural Resources, and The Greenland National Museum and Archives in Nuuk. Permits for the survey were obtained in advance from the Greenland National Museum and Archives in Nuuk. Walsh et al. (2020) provides an overview of the archaeological surveys conducted during the VIMOA project and Walsh et al. (in prep) provides further details specific to The Bear Trap and surrounding archaeological contexts. </p> <p>Walsh et al. (2020) The VIMOA project and archaeological heritage in the Nuussuaq Peninsula of north-west Greenland. <em>Antiquity</em> 94:e6 doi:10.15184/aqy.2019.230</p> <p>Walsh, Matthew J., Daniel F. Carlson, Pelle Tejsner, and Steffen Thomsen. The Bear Trap: Reinvestigating a unique stone structure on the northwest tip of the Nuussuaq Peninsula, Greenland. Submitted to <em>Arctic Anthropology</em>.</p>
Sogenannter Hexenturm von Schloss Ulmerfeld, NÖ – Datengrundlage des 3D-Modells des Innenraums
<p>Photos for the 2015's 3d model of the interior of the so-called witch tower (’Hexenturm’) at the south easteren corner of the outer fortifications of Ulmerfeld Castle. The model was made using 3d photogrammetry (image based modeling) and mast aerial photography.</p>
Data for: 3D bioprinting patents
<p>This dataset contains information regarding 3D bioprinting patent/patent applications. </p> <p><a href="https://www.orbit.com/">Orbit</a> (a fee-based patent database provided by Questel), accessed on Jan. 2, 2022, was used for data mining.</p> <p>The files titled “<em>3D bioprinting patents</em>” and “<em>Bioink patents</em>” contain information related to Priority, Application and Publication numbers, Priority Application and Publication dates, Title, Abstract, and Current assignees.</p> <p>The patent searches were carried out by keywords and classification codes. </p> <p>Both IPC (International Patent Classification) and CPC (Cooperative Patent Classification) codes were used. </p> <p>Instead of 309 patents (see reference 1), a total number of 3,681 documents were retrieved (of which 3,027 are still alive and 2,461 filed in the period 2016 – 2020).</p> <p>Most of the published patent applications were generated in China and the USA (1,360 vs 1,063 priority applications). China is effectively the leading country (37%), followed by the USA with 29% of priority patent applications. </p> <p><strong>Value of the dataset</strong>: prior art searches, technological trends </p> <p><strong>Steps to reproduce data</strong>: </p> <p>The search strategy is reported in the table below:</p> <table> <tbody> <tr> <td> <p>1</p> </td> <td> <p>857</p> </td> <td> <p>(BIOPRINT+ OR BIOINK? OR ORGAN_ON_A_CHIP)/TI/AB/CLMS/ICLM</p> </td> </tr> <tr> <td> <p>2</p> </td> <td> <p>3096</p> </td> <td> <p>((A61L-027+ OR A61F-002+ OR A61L2430/00)</p> <p>AND (B33Y+ OR B29C-064+))/IPC/CPC</p> </td> </tr> <tr> <td> <p>3</p> </td> <td> <p>3681</p> </td> <td> <p> 1 OR 2</p> </td> </tr> <tr> <td> <p>4</p> </td> <td> <p>71912</p> </td> <td> <p>(C09D-011+)/IPC/CPC</p> </td> </tr> <tr> <td> <p>5</p> </td> <td> <p>104</p> </td> <td> <p> 3 AND 4</p> </td> </tr> </tbody> </table> <p><strong>Definition of the classification codes used</strong></p> <p><strong>A61L 27</strong>: Materials for grafts or prostheses or for coating grafts or prostheses</p> <p><strong>A61F 2</strong>: Filters implantable into blood vessels; Prostheses, i.e., artificial substitutes or replacements for parts of the body; Appliances for connecting them with the body; Devices providing patency to, or preventing collapsing of, tubular structures of the body, e.g., stents</p> <p><strong>A61L2430/00</strong>: Materials or treatment for tissue regeneration</p> <p><strong>B33Y</strong>: Additive manufacturing, i.e., manufacturing of three-dimensional [3-d] objects by additive deposition, additive agglomeration, or additive layering, e.g., by 3-d printing, stereolithography, or selective laser sintering</p> <p><strong>B29C 64/00</strong>: Additive manufacturing, i.e., manufacturing of three-dimensional [3D] objects by additive deposition, additive agglomeration, or additive layering, e.g., by 3D printing, stereolithography, or selective laser sintering</p> <p><strong>C09D 11</strong>: inks </p>
3D magnetotelluric modeling using high-order tetrahedral Nédélec elementson massively parallel computing platforms
<p>Accompanying data to journal article</p> <blockquote> <p>Castillo-Reyes, O., Modesto, D., Queralt, P., Marcuello, A., Ledo, J., Amor-Martin, A., de la Puente, J., García-Castillo, L.E. (2021) 3D magnetotelluric modeling using high-order tetrahedral Nédélec elements on massively parallel computing platforms. Computers & Geosciences, vol.(160): 105030 DOI: 10.1016/j.cageo.2021.105030. ISSN 0098-3004, Elsevier.</p> </blockquote>
3D Models of 6dof Motion
<p>This repository contains a 3d model (head_6dof.blend) visualizing motions with 6 degrees of freedom. For the head we use a 3D model created with <a href="http://www.makehumancommunity.org">make human</a> under the <a href="https://creativecommons.org/licenses/by-sa/3.0/">CC BY-SA 3.0</a> license. All body parts but the head were removed from the model used. The main model contains the head, all planes, axes, and labels. Examples of rendered images and an animation are included.The model was created with Blender.</p> <p><strong>Nomenclature</strong><br> Names of the axes and planes according to <a href="https://link.springer.com/content/pdf/10.1007/s00405-015-3835-y.pdf">Bremova et al., 2016</a>:</p> <table align="center"> <thead> <tr> <th scope="col">Abreviation</th> <th scope="col">Axis</th> </tr> </thead> <tbody> <tr> <td>IA</td> <td>inter-aural</td> </tr> <tr> <td>HV</td> <td>head-vertical</td> </tr> <tr> <td>NO</td> <td>naso-occipital</td> </tr> </tbody> </table> <p>Colors<br> Colors are taken from the <a href="https://www.nature.com/articles/nmeth.1618.pdf">Bang Wong color palette</a> which is designed to be accessible to people who are colorblind.</p> <table align="center"> <thead> <tr> <th scope="col">Axis</th> <th scope="col">Color</th> <th scope="col">RGB</th> </tr> </thead> <tbody> <tr> <td>IA</td> <td>bluish green</td> <td>000,158,115</td> </tr> <tr> <td>HV</td> <td>blue</td> <td>000,114,178</td> </tr> <tr> <td>NO</td> <td>vermillion</td> <td>213,094,000</td> </tr> <tr> <td>roll</td> <td>reddish purple</td> <td>204,121,167</td> </tr> <tr> <td>pitch</td> <td>orange</td> <td>230,159,000</td> </tr> <tr> <td>yaw</td> <td>sky blue</td> <td>086,180,233</td> </tr> </tbody> </table> <p> </p>
Observation of confinement induced resonances in a 3D lattice
<p>Data set relative to the publication "Observation of confinement induced resonances in a 3D optical lattice", D.Capecchi, C.Cantillano, M.J. Mark, F. Meinert, A.Schindewolf, M. Landini, A. Saenz, F. Revuelta, H.-C. Naegerl (2022), arxiv:2209.12504</p>
3D-data Runstenar i Södermanland / Runestones in Södermanland
<p>3D-scans of runestones in Södermanland. This dataset includes 3D-models of 11th century AD runestones 3D-scanned for a study within the research project Runristandets dynamik (2009-2014). The project focussed on analysis of the runic inscriptions and ornament, therefor only the inscription surfaces have been scanned. For some stones, this is the only option as they are inserted into church walls.</p>
3D body shapes - INKREATE
<p>This dataset contains 56 3D complete human body shapes in STL format (file <strong>STL.zip</strong>).</p> <p>The table <strong>measurements.csv </strong>contains the code of the SLT files, gender and measurements. The measurements are explained in <strong>ibvtape_doc.pdf</strong></p> <p>The dataset was created for testing purposes in the project <a href="https://www.inkreate.eu/">INKREATE </a>: <em>Transfer the real 3D world to interactive creative endeavours in the apparel industry</em></p> <p>This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement no. 731885</p>
Cup-marked stone, Zermatt-Hubelwäng, Switzerland - imagery and photogrammetrically derived 2.5D data, 3D data and orthophoto of stone slab no. 3920-01
<p>Imagery and derived 2.5D data, 3D data and orthophoto of cup-marked stone slab No. 3920-01 (http://www.ssdi.ch/), Zermatt-Hubelwäng, Switzerland.</p> <p>Supplemental data for: J. Reinhard, Was in den Rucksack passt… In: Chr. Rinne et al. (ed.), Vom Bodenfund zum Buch - Archäologie durch die Zeiten. Festschrift für Andreas Heege. Historische Archäologie Sonderband 1 (Bonn 2017), 503-520. URL: <a href="http://www.histarch.uni-kiel.de/sonderband01.htm">http://www.histarch.uni-kiel.de/sonderband01.htm</a>, DOI:<a href="https://doi.org/10.18440/ha.2017.101"> https://doi.org/10.18440/ha.2017.101</a> (original paper and additional poster contained in the upload). See <a href="http://skfb.ly/6sxJT">https://skfb.ly/6sxJT</a> for an online visualization of the data on Sketchfab.</p> <p> </p> <p>Contents:</p> <p><a href="https://zenodo.org/api/files/166f08c2-3b28-4c6d-8fca-dcd6fadd8ef5/HASB2017_130_503.pdf?versionId=2c4ebd68-da57-42da-b49a-b95d10a9f4f8">HASB2017_130_503.pdf</a>: PDF of Reinhard 2017 (cited above).</p> <p><a href="https://zenodo.org/api/files/166f08c2-3b28-4c6d-8fca-dcd6fadd8ef5/HASB2017_130_sup1.zip?versionId=87498b06-3e60-4dc1-a182-0157df73ad80">HASB2017_130_sup1.zip</a>: dense point cloud (full resolution, .ply)</p> <p><a href="https://zenodo.org/api/files/166f08c2-3b28-4c6d-8fca-dcd6fadd8ef5/HASB2017_130_sup2.zip?versionId=951d3131-b09b-4efb-b768-adbd29e55e91">HASB2017_130_sup2.zip</a>: orthophoto (5 mm resolution, GeoTIFF)</p> <p><a href="https://zenodo.org/api/files/166f08c2-3b28-4c6d-8fca-dcd6fadd8ef5/HASB2017_130_sup3.zip?versionId=8f5ac851-e596-4a31-b724-5f056a4940eb">HASB2017_130_sup3.zip</a>: DEM (1 mm resolution, GeoTIFF)</p> <p><a href="https://zenodo.org/api/files/166f08c2-3b28-4c6d-8fca-dcd6fadd8ef5/HASB2017_130_sup4.zip?versionId=29043ecd-1bea-4fbd-8264-38e99c583691">HASB2017_130_sup4.zip</a>: orthophoto (1 mm resolution, GeoTIFF)</p> <p><a href="https://zenodo.org/api/files/166f08c2-3b28-4c6d-8fca-dcd6fadd8ef5/HASB2017_130_sup5.zip?versionId=ae05c230-c25a-4a29-801f-202823648ade">HASB2017_130_sup5.zip</a>: 3D model (full resolution, .obj/.mtl/.jpg)</p> <p><a href="https://zenodo.org/record/3373713/files/Image-based_modeling_report.pdf?download=1">Image-based_modeling_report.pdf</a>: Image-based modeling report generated by Agisoft PhotoScan</p> <p><a href="https://zenodo.org/api/files/166f08c2-3b28-4c6d-8fca-dcd6fadd8ef5/In_Rock_We_Trust_Poster_EAA_Bern_2019-09-07.pdf?versionId=7c003048-b261-45a6-803f-6affc3c48721">In_Rock_We_Trust_Poster_EAA_Bern_2019-09-07.pdf</a>: poster presented at the EAA annual conference 2019 in Bern</p> <p><a href="https://zenodo.org/record/3373713/files/Notes_on_image-based_modeling.pdf?download=1">Notes_on_image-based_modeling.pdf</a>: Notes on the image-based modeling process including scaling information</p> <p><a href="https://zenodo.org/api/files/166f08c2-3b28-4c6d-8fca-dcd6fadd8ef5/Photos.zip?versionId=833aaf74-8c0e-48a5-8459-28d47af02d2e">Photos.zip</a>: complete set of images used in this project, taken in april 2016</p> <p> </p>
3D-data Runstenar signerade av Åsmund Kåresson / Runestones signed by Asmund Karasun
<p>3D-scans of runestones signed by Asmund Karasun (Åsmund Kåresson). This dataset includes 3D-models of 11th century runestones 3D-scanned for a study within the research project Runristandets dynamik (2009-2014). The project focussed on analysis of the runic inscriptions and ornament, therefor only the inscription surfaces have been scanned. For some stones, this is the only option as they are leaning against, or inserted into, church walls. Results of analysis have been published in the article "Åsmund Kåresson - en sällskaplig runristare" (English summary) in the journal Situne Dei (Situne Dei 2016, p. 26-39; see related publications).</p>
ZHAW-ISC 3D ToF and RGB Fusion Dataset
<p>This dataset contains depth maps recorded by an ESPROS epc635 Time-of-Flight camera and RGB images from a Raspberry Pi camera module V2, for use in the fusion of these sensors to increase the resolution of the ToF camera.</p> <p>The dataset contains three scenes, one of a paper dodecahedron, a wooden grid with holes of various sizes, and a set of wooden bars with different distances between them. All scenes have a black background with low reflectivity at the 3D ToF camera’s illumination wavelength to reduce multi-path interference. An HDR image is created by combining two 3D ToF depth maps with different integration times based on the recorded amplitude of each pixel. The depth map is then transformed to the perspective of the RGB camera and the resulting holes are filled with the mean of their neighboring pixels.</p> <p>The content of the included files are:</p> <ul> <li>Recorded HDR ToF camera depth maps (160x60), containing the depth values in millimeters, stored as 16-bit PNG files. </li> <li>Recorded RGB images (2560x960)</li> </ul>
RGB orthophoto mosaic, DSM, 3d point cloud and LIDAR LAZ of the flash flood damages in Karavelovo and Bogdan vilages, Bulgaria- September 2, 2022
<p>The present dataset contains geospatial resources aimed at investigating and assessing the consequences of a flash flood of debris flow character, relatively significant in extent and magnitude of damage, in the area of two villages in the Municipality of Karlovo, located in central Bulgaria, which happened on September 2, 2022. For this purpose, an integrated approach based on the combination of digital photogrammetry with high spatial resolution and spatial accuracy, based on a fixed wing unmanned aerial system, and laser altimetry (LIDAR), based on a multirotor unmanned platform, was used. The data collection was carried out 2 days after the occurrence of the disaster, resulting in the generation of valuable information resources that allow not only to spatially and quantitatively determine the damage of the disaster, but also to reveal the mechanism of occurrence of the phenomenon: 1) orthophoto mosaic, Digital surface model-DSM and 3D point cloud (from photogrammetry) 2) Classified 3D point cloud- from LIDAR survey.</p>
Tailored Sticky Solutions: 3D-Printed Miconazole Buccal Films for Pediatric Oral Candidiasis - Underlying CT data
<p>Underlying CT data of "<strong>Tailored Sticky Solutions: 3D-Printed Miconazole Buccal Films for Pediatric Oral Candidiasis</strong>"<br><strong>DOI: <a href="https://doi.org/10.1208/s12249-024-02908-5">https://doi.org/10.1208/s12249-024-02908-5</a></strong></p> <p>by </p> <p>Konstantina Chachlioutaki, Anastasia Iordanopoulou, Orestis L. Katsamenis, Anestis Tsitsos, Savvas Koltsakidis, Pinelopi Anastasiadou, Dimitrios Andreadis, Vangelis Economou, Christos Ritzoulis, Dimitrios Tzetzis, Nikolaos Bouropoulos, Iakovos Xenikakis & Dimitrios Fatouros </p> <p> </p> <div> <h3>Authors and Affiliations</h3> <ol> <li> <p>Department of Pharmacy Division of Pharmaceutical Technology, Aristotle University of Thessaloniki, Thessaloniki, Greece</p> <p>Konstantina Chachlioutaki, Anastasia Iordanopoulou, Iakovos Xenikakis & Dimitrios Fatouros</p> </li> <li> <p>Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece</p> <p>Konstantina Chachlioutaki & Dimitrios Fatouros</p> </li> <li> <p>μ-VIS X-Ray Imaging Centre, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, SO17 1BJ, UK</p> <p>Orestis L. Katsamenis</p> </li> <li> <p>Institute for Life Sciences, University of Southampton, Southampton, SO17 1BJ, UK</p> <p>Orestis L. Katsamenis</p> </li> <li> <p>Laboratory of Animal Food Products Hygiene - Veterinary Public Health, School of Veterinary Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece</p> <p>Anestis Tsitsos & Vangelis Economou</p> </li> <li> <p>Digital Manufacturing and Materials Characterization Laboratory, School of Science and Technology, International Hellenic University, 14km Thessaloniki–N. Moudania, 57001, Thermi, Greece</p> <p>Savvas Koltsakidis & Dimitrios Tzetzis</p> </li> <li> <p>Department of Oral Medicine/Pathology, School of Dentistry, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece</p> <p>Pinelopi Anastasiadou & Dimitrios Andreadis</p> </li> <li> <p>Department of Food Science and Technology, International Hellenic University, Sindos Campus, 57400, Thessaloniki, Greece</p> <p>Christos Ritzoulis</p> </li> <li> <p>Department of Materials Science, University of Patras, Rio, 26504, Patras, Greece</p> <p>Nikolaos Bouropoulos</p> </li> <li> <p>Foundation for Research and Technology Hellas, Institute of Chemical Engineering and High Temperature Chemical Processes, 26504, Patras, Greece</p> <p>Nikolaos Bouropoulos</p> </li> </ol> </div>
3D Reconstruction of Shoulder Muscles in Hominoid Primates: Correlating Scapular Attachment Areas with Muscle Volume
<h2><strong>How To Cite:</strong></h2> <p>If you use this data or code in your research, please cite the associated open-access <strong>manuscript, </strong>which you can find here: <a href="https://doi.org/10.1111/joa.14199">https://doi.org/10.1111/joa.14199</a><br>and this <strong>zenodo repository</strong>.</p> <h2><strong>Online Visualization:</strong></h2> <p>You can access an interactive, web-based view of the notebooks and analyses <a title="Shoulder Muscle Reconstruction Code" href="https://juliavanbeesel.github.io/ShoulderMuscleReconstructions/intro.html" target="_blank" rel="noopener">here</a>.</p> <h2><strong>Repository Description:</strong></h2> <p>This repository contains two zip files related to the analysis and visualization of 3D reconstructed muscle volumes and lengths from various hominoid specimens.</p> <ol> <li> <p><strong>MeshFiles.zip:</strong></p> <ul> <li><strong>Contents:</strong> This zip file includes all <code>.obj</code> files for 3D reconstructed muscle volumes and associated anatomical structures. Specifically, it contains: <ul> <li><strong>Muscles:</strong> Supraspinatus, Infraspinatus, Subscapularis, Teres Major, Teres Minor</li> <li><strong>Bones:</strong> Scapula and Humerus</li> <li><strong>Attachment Sites</strong></li> </ul> </li> <li><strong>Organization:</strong> The files are organized into folders by specimen. There are 9 hominoid specimens from the following species: <ul> <li><em>Hylobates lar</em></li> <li><em>Symphalangus syndactylus</em></li> <li><em>Pongo pygmaeus</em></li> <li><em>Pongo abelii</em></li> <li><em>Gorilla gorilla</em></li> <li><em>Pan troglodytes</em></li> <li><em>Homo sapiens</em></li> </ul> </li> <li><strong>Surface Scans of Muscle Geometry: </strong>The specimens <em>Pongo</em> (ID 3) and <em>Symphalangus </em>(ID 122) also contain surface scans that depict the muscle geometry of the listed muscles. These surface scans can be used for training with the iterative polygonal modelling approach. The scans are stored as <code>.obj</code>, <code>.mtl</code> and <code>.png</code> files. To view textures on these meshes, keep all three files together in the same folder.</li> <li><strong>Additional Details:</strong> Muscle reconstructions were performed for different arm positions. Each folder contains multiple humerus files, with each file representing a humerus in a specific position aligned with the corresponding muscles. The humerus file names indicate the muscles the humerus is aligned with.<br><br></li> </ul> </li> <li> <p><strong>DataAndCode.zip:</strong></p> <ul> <li><strong>Contents:</strong> <ul> <li><strong>Excel File:</strong> The original data used for analysis, presented in Table 2 of the manuscript.</li> <li><strong>Jupyter Notebook Files: </strong>These notebooks provide the analyses and figures as described in the manuscript: <ul> <li><em>Accuracy_Muscle_Length_Reconstruction:</em> Analysis of muscle length measurement comparisons, detailed in Supplementary Information Section 3: <em>Accuracy of estimating Muscle Length from 3D reconstructions</em>.</li> <li><em>Accuracy_Muscle_Volume_Reconstruction:</em> Analysis of muscle volume measurement comparisons, detailed in Results Section 3.2: <em>Accuracy of Muscle Volume and Length Reconstruction</em>.</li> <li><em>Correlation_Analysis_SIS:</em> Correlation analysis of muscle origin area to volume for the supraspinatus, infraspinatus, and subscapularis muscles, detailed in Results Section 3.3:<em> Correlation Analysis</em>.</li> <li><em>Correlation_Analysis_TT:</em> Correlation analysis of muscle origin area to volume for the teres major and minor muscles, detailed in Supplementary Information Section 1: <em>Correlation results of teres major and minor</em>.</li> </ul> </li> <li><strong>Requirements.txt:</strong> A file listing the necessary packages required to run the Jupyter notebooks.</li> </ul> </li> <li><strong>Purpose:</strong> The Python files include code for performing statistical analyses and generating figures as described in the manuscript.</li> </ul> </li> </ol> <h2><strong>Usage Instructions:</strong></h2> <ul> <li>For analyzing muscle volumes and lengths, refer to the Jupyter notebooks included in the <code>DataAndCode.zip</code>. Ensure all dependencies listed in the <code>requirements.txt</code> file are installed.</li> <li>The <code>MeshFiles.zip</code> contains the 3D models necessary for visualizing muscle and bone reconstructions, organized by specimen and arm position.</li> </ul>
3D and assay data published in "XRF and 3D modelling on a composite Etruscan helmet"
<p>The data presented here are published as part of the publication Emmitt, J.J., McAlister, A., Bawden, N., and J. Armstrong "XRF and 3D modelling on a composite Etruscan helmet" <em>Applied Sciences</em>. <em>11</em>(17): 8026. DOI: 10.3390/app11178026. The methodology for the creation of the photogrammetry model is presented Emmitt et al. (2021a), and further information about the methods used to collect the pXRF data can be found in Emmitt et al. (2021b). The interpolation analysis is done using PyVista by Sullivan and Kaszynski (2019)</p> <p>The model is are published as a .ply file, the assay data is in a csv file with the corresponding location on the model, and a Juypter notebook for running the analysis. The PyVista Python package will be required (Sullivan and Kaszynski 2019). Contained here are:</p> <ul> <li>Negau Helmet, Doug Gold Collection - 1x .ply</li> <li>Helmet assay points and data - 1x .csv</li> <li>Juypter Notebook - 1x .ipynb</li> </ul> <p>Data are published with permission of Museo Nazionale Etrusco di Villa Giulia e Villa Poniatowski di Roma (Director Valentino Nizzo).</p>
Liquid Resin Infusion (LRI) manufacturing and Spring_In monitoring by FBGs, DCs and 3D CMM meassurements
<p>ELADINE project is aiming to implement a numerical tool that can reduce reoccurring costs of low-volume production in composite manufacturing of primary structural elements and thus reducing overall manufacturing effort and carbon emissions. A<strong> primary goal of this project is to eliminate tolerance non-compliancy in the manufactured structures caused by natural and unavoidable post-manufacturing distortions, typical for composite materials</strong>. These distortions might render otherwise qualitative components unusable due to their final geometry.</p> <p>Objectives of the Numerical model validation are:</p> <ul> <li>To understand the dominant factors which affects the spring-in phenomenon.</li> <li>To provide the simulation tool with the required values of the properties that influence on spring-in.</li> <li>To verify the simulation tool ability to predict spring-in for a variety of conditions.</li> <li>To develop a procedure of adapting and embedding sensors (dielectric and fiber optic) to obtain proper, useful and accurate signals of the manufacturing parameters (T, degree of cure, strain).</li> <li>To develop interpretation procedures of the signal/curves of sensors to obtain on-line process monitoring information.</li> </ul> <p>To obtain the data to feed and develop the numerical tool able to estimate the component distortions after its manufacturing, a combination of Fiber Optic Sensors (FOS) based on Fiber Bragg Grating (FBG) technology, Dielectric Curing sensors (DC) and 3D scanning were used to monitor the composite coupon manufacturing and the distortions the days after being demoulded. During the manufacturing process embedded FBGs and DC sensors were used to monitor the coupon temperature and strain distribution and resin curing evolution. After the manufacturing and the demolding, the distortions evolution were monitored by the embedded FBGs and by 3D CMM measurements.</p> <p><strong>In the ELADINE project, the distortion monitoring was made to two Out-of-Autoclave manufacturing technologies: liquid resin infusion (LRI) and oven cured pre-preg</strong>. For both material systems, slightly curved coupons and C-shaped coupons were the geometries selected as representative for the Skin and spars of the wing box. The Skin coupon was curved panel with a 1475 mm radius (with edge rise of 7,65 mm) that was thought to best replicate the wing profile geometry. The C-spar coupon geometry selected for the study was a non-tapered spar section with two different angle with radius of curvature of 5mm and 12mm. This geometry was chosen to simplify measuring and comparisons with wing demo. Furthermore, three different thickness are studied for the Skin coupons and two for the C-spar coupons which were selected from different zones along the wing. Moreover, a C-spar coupon with variable thickness was studied, as a simulation of the transition between zones with different thickness in the wing.</p> <p><strong>In this dataset, the data from the FBGs, DCs and 3D CMM meassurements for the LRI manufacturing process and spring_in distortions monitoring is included.</strong></p>
Supplement for Drone-based magnetic and multispectral surveys to develop a 3D model for mineral exploration at Qullissat, Disko Island, Greenland
<p>Supplement to Jackisch et al., 2021: Drone-based magnetic and multispectral surveys to develop a 3D model for mineral exploration at Qullissat, Disko Island, Greenland.</p> <p><a href="https://se.copernicus.org/articles/13/793/2022/se-13-793-2022.html">https://se.copernicus.org/articles/13/793/2022/se-13-793-2022.html</a></p> <p>Data set contains 3D model in dxf file, additional images, selected handheld spectra.</p> <p>Publication summary:</p> <p>We integrate UAS-based magnetic and remote sensing mineral exploration data with legacy exploration data of a Ni-Cu-PGE prospect on Disko Island, West Greenland. The basalt unit has a complex magnetization, and we use a 3D magnetic vector inversion on the UAS magnetics to estimate magnetic properties and spatial dimensions of the mineralized unit. Our 3D modelling reveals a horizontal sheet and a strong remanent magnetization component. We highlight the advantage of UAS in rugged terrain.</p> <p> </p>
Enhanced 3D velocity structure, seismicity relocation and basement characterization of Changning shale gas and salt mining regions in Sichuan Basin
<p>This repository contains the datasets and results of the joint inversion-based Vp/Vs model consistency constrained double difference seismic tomography carried out for the manuscript titled “Enhanced 3D velocity structure, seismicity relocation and basement characterization of Changning shale gas and salt mining regions in Sichuan Basin.” Included are the following: column descriptions of data files, catalog earthquake information (CX_event.dat), relocated events after inversion (CX_tomoDDMC.reloc), inverted Vp model (CX_Vpmodel.dat), inverted Vs model (CX_Vsmodel.dat) and inverted Vp/Vs model (CX_VpVsmodel.dat). Please consult the manual for tomoDD by Zhang and Thurber (2003) for detailed formats of these files. In addition, an averaged velocity model (MOD_averaged) computed based on the inversion results is included, and the converged model (Vp_model_reinverted) resulting from the reinversion, as well as basement structure data for Figure 14.</p>
Schematic 3D reconstruction hypothesis of the house of the painter Gillis van Coninxloo at the Oude Turfmarkt and adjacent houses
<p>This is a schematic, grey scale 3D reconstruction of the vanished house of the painter Gillis van Coninxloo and adjacent houses resulting from the research conducted in the framework of the <em>Virtual Interiors</em> project. The research questions that this 3D reconstruction aimed to explore relate to the identification of the exact location of the house on the Oude Turfmarkt and its internal spatial arrangement. Especially the references that are contained in Coninxloo's probate inventory to a ‘Coninxloos winckel’ and an ‘achter winckel’ on the first floor of his house were investigated with the 3D model. </p> <p>An introduction to the Coninxloo case study and to the first phase of the 3D reconstruction project of his house is briefly presented in C. Piccoli and W. Li 2021. ‘Dealing with multidimensional uncertainty: The house of the painter Gillis van Coninxloo’, https://www.virtualinteriorsproject.nl/2021/08/19/dealing-with-multidimensional-uncertainty-the-house-of-the-painter-gillis-van-coninxloo/ (last accessed November 2022). An update on archival research and new insights on this and the neighbouring houses is given in C. Piccoli 2022. ‘The house of Gillis van Coninxloo at the Oude Turfmarkt: New insights’ https://www.virtualinteriorsproject.nl/2022/11/23/the-house-of-gillis-van-coninxloo-at-the-oude-turfmarkt-new-insights/ (last accessed November 2022).</p> <p>The sources that were used to propose this reconstruction hypothesis are listed in the *.csv file.</p> <p>Note: This 3D reconstruction is a provisional version and must be considered hypothetical. Aspects that could be clarified by further research include a possible difference in ground floor’s level between the front and the back in Coninxloo’s house, which would impact the spatial arrangement of the interior and require the presence of steps to bridge the two parts.</p> <p><strong>Historical and archival research</strong>: Chiara Piccoli, Bart Reuvekamp, Frans Grijzenhout.<br> <strong>3D modelling</strong>: Chiara Piccoli<br> <strong>3D modelling software</strong>: Blender<br> <strong>Acknowledgements</strong>: Virtual Interiors project, Gabri van Tussenbroek, Weixuan Li, Judith Brouwer, Madelon Simons.</p>
3D reconstruction hypothesis of the 17th century entrance hall ('voorhuis') of Herengracht 573, Amsterdam
<p>3D reconstruction hypothesis of the 17<sup>th</sup> century entrance hall (‘voorhuis’) of Herengracht 573 in Amsterdam based on information retrieved from the probate inventory (10.5281/zenodo.7501160) and the VOC almanacs of Pieter de Graeff, and building historical research. The 3D reconstruction hypothesis and related sources are discussed in Chiara Piccoli, 'Home-making in 17th century Amsterdam: A 3D reconstruction to investigate visual cues in the entrance hall of Pieter de Graeff (1638-1707)', in G. Landeschi and E. Betts (eds.), <em>Capturing the Senses. Digital Methods for Sensory Archaeologies</em> (Cham: Springer, 2023 forthcoming).</p> <p>The 3D <em>voorhuis</em> can be interactively explored via the prototype <em>Virtual Interiors</em> webviewer (https://www.virtualinteriorsproject.nl/output/). A screencast of the interactive exploration can be viewed at <a href="https://doi.org/10.1515/opar-2020-0142">https://doi.org/10.1515/opar-2020-0142</a> or at <a href="https://dx.doi.org/10.21942/uva.14424218">https://dx.doi.org/10.21942/uva.14424218</a></p> <p>For further details about the aims and the development of the webviewer, see Hugo Huurdeman and Chiara Piccoli 2021. ‘3D Reconstructions as Research Hubs: Geospatial Interfaces for Real-Time Data Exploration of Seventeenth-Century Amsterdam Domestic Interiors’, <em>Open Archaeology</em>, vol. 7 (1), 314-336. <a href="https://doi.org/10.1515/opar-2020-0142">https://doi.org/10.1515/opar-2020-0142</a> and Hugo Huurdeman 2021. ‘Analyze & Experience: Towards a Research Environment for 3D Reconstructions’ (<a href="https://www.virtualinteriorsproject.nl/2021/08/04/towards-a-3d-research-environment/">https://www.virtualinteriorsproject.nl/2021/08/04/towards-a-3d-research-environment/</a>)</p> <p>This research was part of the NWO-funded project <em>Virtual Interiors</em> (2018-2022; https://www.virtualinteriorsproject.nl/).</p>
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.