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478 results for “3D data”
Data for: 3D Graphene Straintronics for Broadband Terahertz Modulation
<p><span>The dataset contains the raw data for the graphene aerogel study, which evaluated the terahertz properties of different graphene aerogels as a function of compressive strain and annealing conditions. The package includes the data and figures for the paper entitled "3D Graphene Straintronics for Broadband Terahertz Modulation", <a href="https://doi.org/10.1002/aelm.202300853">https://doi.org/10.1002/aelm.202300853</a>.</span></p> <p><span> </span></p>
Research Data - Magnetic Field Controlled Surface Localization of Spin-Wave Ferromagnetic Resonance Modes in 3D Nanostructures
<p>Source data from micromagnetic simulations performed in COMSOL Multiphysics software and Python codes for data post-processing utilized in the paper "Magnetic Field Controlled Surface Localization of Spin-Wave Ferromagnetic Resonance Modes in 3D Nanostructures."</p> <p>The files from Comsol (.mph) are without simulation solutions due to their large size - please contact me if needed.</p>
Tomographic X-ray data of 3D emoji
<p>This is the documentation of the tomographic X-ray data of emoji<br> phantom made available at http://www.fips.fi/dataset.php. The data can be freely used for scienti c purposes with appropriate references to the data and to this document in http://arxiv.org/. The data set consists of (1) the X-ray sinogram of a single 2D slice of 33 emoji faces (contains 15 different emoji faces) made by small squared ceramic stones and (2) the corresponding static and dynamic measurement matrices modeling the linear operation of the X-ray transform. Each of these sinograms was obtained from a measured 60-projection fan-beam sinogram by down-sampling and taking logarithms. The original (measured) sinogram is also provided in its original form and resolution. The original (measured) sinogram is also provided in its original form and resolution.</p>
3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning techniques
<p>This repository contains supplementary data to the simulations in our paper</p> <p>"3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning techniques"</p> <p><strong>APTTipCarvingExecutable.tar.gz</strong><br> Contains the production state of the tip synthesis tool source code and compilation</p> <p><strong>TAPSimExecutable.tar.gz</strong><br> Contains the production state of the TAPSim simulation tool source code and compilation</p> <p><strong>scripts.zip</strong><br> Contains tiny shell scripts we used to execute the simulations</p> <p><strong>Two production simulations were performed.</strong><br> Both use the same tip bicrystal geometry but different orientations:<br> <strong>SimID.31054 is the one we discuss in the paper, it has the experimentally measured orientations</strong><br> SimID.31053 is an exemplary simulation with two different crystal orientations</p> <p><strong>For both SimID results five TAR archives exist:</strong><br> TAPSimDetectorHits* contains the main result, the simulated detector hit positionsBiCarving*<br> TAPSimTrajectories* contains all ion trajectories<br> TAPSimInput* contains supplementary results of the TAPSim field evaporation simulation<br> BiCarving* contains the settings and results of the synthesis, the XML file inside the archive details the orientations<br> Meshgen* contains the results of the meshing process prior to the TAPSim simulation</p> <p> </p>
Improving generalisability of 3D binding affinity models in low data regimes
<p>Structures of the PDBBind dataset (general protein-ligand) prepared with CCDC protein preparation software. After preparation, 18310 structures out of the total 19443 remained (1133 failed).</p>
Data from: Revision of the highly-specialized ant genus Discothyrea (Hymenoptera: Formicidae) in the Afrotropics with x-ray microtomography and 3D cybertaxonomy
Discothyrea Roger, 1863 is a small genus of proceratiine ants with remarkable morphology and biology. However, due to cryptic lifestyle Discothyrea are poorly represented in museum collections and their taxonomy has been severely neglected. We perform the first comprehensive revision of Discothyrea in the Afrotropical region through a combination of traditional and 3D cybertaxonomy based on micro-CT. Species diagnostics and morphological character evaluations are based on examinations of all physical specimens and virtual analyses of 3D surface models generated from micro-CT data. Additionally, we applied virtual dissections for detailed examinations of cephalic structures to establish terminology based on homology for the first time in Discothyrea. The complete datasets comprising micro-CT data, 3D surface models and videos, still images of volume renderings, and coloured stacked images are available online as cybertype datasets (Hita Garcia et al., dryadXXXXXXXXXX). We define two species complexes (D. oculata and D. traegaordhi complexes) and revise the taxonomy of all species through detailed illustrated diagnostic character plates, a newly developed identification key, species descriptions, and distribution maps. In total, we recognize 20 species, of which 15 are described as new. We also propose D. hewitti Arnold, 1916 as junior synonym of D. traegaordhi Santschi, 1914 and D. sculptior Santschi, 1913 as junior synonym of D. oculata Emery, 1901. Also, we designate a neotype for D. traegaordhi to stabilize its status and identity, and we designate a lectotype for D. oculata. The observed diversity and endemism are discussed within the context of Afrotropical biogeography and the oophagous lifestyle. ESA Editorial Office: 3 Park Place, Suite 307, Annapolis, MD 21401-3722, USA. Editorial Office Phone: 1-301-731-4535.
A Non-destructive Method to Create a Time Series of Surface Area for Coral Using 3D Photogrammetry (Data)
<p>This is the underlying data for the publication "A Non-destructive Method to Create a Time Series of Surface Area for Coral Using 3D Photogrammetry" by Daniel D Conley and Erin N. R. Hollander published in 2021.</p>
3D Global MHD Simulation Data
<p>Particle in cell data are transformed to Matlab binary data.</p> <p>File </p> <p>273xyz.mat: xyz grid data </p> <p>273btotal.mat:pysical data </p> <p>Nx=241;<br>Ny=161;<br>Nz=161;</p> <p>start at [x0 y0 z0]=xyz(:,1,1,1) end at [X Y Z]=xyz(:,Nx,Ny,Nz)</p> <p> </p> <p> </p> <p> </p>
DATA for 3D PIC simulation of MS waves
<p>Data for the paper of Excitation of magnetosonic waves in the Earth's dipole magnetic field: 3D PIC simulation</p>
ICEBEAR 3D coherent scatter radar data for 2020, 2021
<p>Daily ICEBEAR 3D data for 2020, 2021, organized in nx12 matrices where n is the number of observations (echoes) in any given day. The columns are</p> <ol> <li>Year (UT)</li> <li>Month (UT)</li> <li>Day (UT)</li> <li>Hour (UT)</li> <li>Minute (UT)</li> <li>Second (UT)</li> <li>Longitude [degrees]</li> <li>Latitude[degrees]</li> <li>Altitude [km]*</li> <li>Doppler velocity [m/s]</li> <li>SNR [dB]</li> <li>Beam number (1 = east, 2 = center, 3 = west)</li> </ol> <p>* The west-beam altitudes are anomalous.</p> <p> </p>
ICEBEAR 3D coherent scatter radar data for 2020, 2021
<p>Daily ICEBEAR 3D data for 2020, 2021, organized in nx12 matrices where n is the number of observations (echoes) in any given day. The columns are</p> <ol> <li>Year (UT)</li> <li>Month (UT)</li> <li>Day (UT)</li> <li>Hour (UT)</li> <li>Minute (UT)</li> <li>Second (UT)</li> <li>Longitude [degrees]</li> <li>Latitude[degrees]</li> <li>Altitude [km]*</li> <li>Doppler velocity [m/s]</li> <li>SNR [dB]</li> <li>Beam number (1 = east, 2 = center, 3 = west)</li> </ol> <p>* The west-beam altitudes are anomalous.</p>
HiCube: Interactive visualization of multiscale and multimodal Hi-C and 3D genome data
<p>Test dataset for HiCube.</p> <p>HiCube is a lightweight web application for interactive visualization and exploration of diverse types of genomics data at multiscale resolutions. Especially, HiCube displays synchronized views of Hi-C contact maps and three-dimensional (3D) genome structures with user-friendly annotation and configuration tools, thereby facilitating the study of 3D genome organization and function.</p> <p>HiCube is implemented in Javascript and can be installed via NPM. The source code is freely available at GitHub (https://github.com/wmalab/HiCube).</p>
Survival data and code: Camouflage using 3D surface disruption
<p class="MsoNormal">Disruptive markings are common in animal patterns and can provide camouflage benefits by concealing the body's true edges and/or by breaking the surface of the body into multiple depth planes. Disruptive patterns that are accentuated by high contrast borders are most likely to provide false depth cues to enhance camouflage, but studies to date have used visual detection models or humans as predators. We presented 3D-printed moth-like targets to wild bird predators to determine whether: (1) 3D prey with disrupted body surfaces have higher survival than 3D prey with continuous surfaces, (2) 2D prey with disruptive patterns or enhanced edge markings have higher survival than non-patterned 2D prey. We found a survival benefit for 3D prey with disrupted surfaces, even after accounting for luminance differences among the treatments. There was no evidence that false depth cues provided the same protective benefits as physical surface disruption in 3D prey, perhaps because our treatments did not mimic the complexity of patterns found in natural animal markings. Our findings indicate that disruption of surface continuity is an important strategy for concealing a 3D body shape.</p>
Supplementary data for "Flat does not mean 2D: Using X-ray microtomography to study insect wings in 3D"
<p>Supplementary data for "Flat does not mean 2D: Using X-ray microtomography to study insect wings in 3D". Contain all 3D CT-scans used for figures and analyses</p>
Model output data for 3D Climate modelling of LP 890-9 c with a modern Venus-like atmosphere
<p>We make available the output data from 3D climate modelling of LP 890-9 c with a modern Venus-like atmosphere. The data here has been produced for the publication submitted to Monthly Notices of the Royal Astronomical Society: Letters under the title: «3D Global Climate Model of an Exo-Venus: a modern Venus-like Atmosphere for the Nearby Super-Earth LP 890-9 c». The data includes the temperature profiles, emission (thermal) phase curves and transmission spectra files calculated for JWST/NIRSpec Prism. We also make available larger versions of the synthetic observable figures. Proper credit should be given to the authors. For further information, please get in touch with the corresponding author (Diogo Quirino) at: dfquirino@fc.ul.pt</p>
Preliminary data of drifting snow mass flux from the lower SPC at MOSAiC (2020-01-26 to 2020-02-04) for the submitted paper "Towards a fully physical representation of snow on Arctic sea ice using a 3D snow-atmosphere model"
<p>Preliminary data of lower SPC massflux from MOSAiC, for the time period 2020-01-26 -- 2020-02-04.</p> <p>1-h averaged time series of mass flux (kg/m²/h) to compare with the ALPINE3D simulation results.</p> <p>Will soon be replaced with a DOI / Repositiry at the Arctic Data Centre from BAS.</p>
Using a low-cost 2D LiDAR Sensor to capture 3D Data - Raw Data
<p>Raw Data for an upcoming publication in the MDPI Journal of Sensors, titled: "Using a low-cost 2D LiDAR Sensor to capture 3D Data"</p>
AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments - Supplementary Data
<p><strong>Introduction</strong></p> <p>In this zip, we release the auxiliary data that is beneficial to execute the implementation of AVLEN described in our paper AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments by Sudipta Paul, Amit K Roy-Chowdhury, and Anoop Cherian, NeurIPS, 2022.</p> <p><strong>At a Glance</strong></p> <ul> <li>The size of the unzipped data is 4.6G</li> <li>The unzipped folder contains: (i) a README.md file and (ii) ./AVLEN-data folder. The latter contains the following zip files. Please see the AVLEN code to see how to unzip these files into their respective folders. <ul> <li>ckpt.119.pth -- 61M </li> <li>connectivity.zip -- 1.4M </li> <li>pretrained_weights.zip -- 1.7G</li> <li>ResNet-152-imagenet.zip -- 2.9G</li> <li>semantic_audionav_dialog_approx.zip -- 2.7M</li> <li>soundspaces.zip -- 479K</li> <li>speaker_model_weights.zip -- 51M</li> </ul> </li> </ul> <p><strong>Other Resources</strong></p> <p>For the implementation of AVLEN that uses the data shared here, please visit <a href="https://www.merl.com/publications/TR2022-131">MERL TR2022-131</a>.</p> <p><strong>Citation</strong></p> <p>If you use AVLEN in your research, please cite our paper:</p> <pre><code>@InProceedings{paul2022avlen, title={AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments}, booktitle={Advances in Neural Information Processing Systems}, author={Paul, Sudipta and Roy-Chowdhury, Amit and Cherian, Anoop}, volume={35}, pages={6236--6249}, year={2022} }</code></pre> <p><strong>Copyright and License</strong></p> <p>The AVLEN dataset is released under CC-BY-SA-4.0 license.</p> <p>All data:</p> <pre><code>Created by Mitsubishi Electric Research Laboratories (MERL), 2023 SPDX-License-Identifier: CC-BY-SA-4.0</code></pre> <p> </p>
Data obtained during classification of intertidal habitats using UAV imagery in the Galapagos Archipelago (Orthophotos, digital elevation models (DEM) and orthophoto-draped 3D models)
<p>In the repository 5 folders exist. 1) Digital elevation models (DEMs), 2) Intertidal habitat map, 3) Othophoto draped 3D models, 4) Orthophotos, and 5) Processing reports. The data has been collected in Puerto Ayora at Santa Cruz in August 2017, the most urbanized island of the Galapagos Archipelago. The purpose of this study was to investigate the image classification opportunities for these intertidal habitats using Uncrewed Aerial Vehicle (UAV) imagery. This dataset is cited in an open-access publication: https://doi.org/10.3390/drones7070416. </p>
Data - A Functionalized Monte Carlo 3D Radiative Transfer Model: Radiative Effects of Clouds over Reflecting Surfaces
<p>Data and scripts associated with the article "A Functionalized Monte Carlo 3D Radiative Transfer Model: Radiative Effects of Clouds over Reflecting Surfaces"</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.