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1,880 results for “Dimensionality”
Supplemental Video 1 to Vanzella et al paper: A passive, camera-based head-tracking system for real-time, three-dimensional estimation of head position and orientation in rodents
<p>This video shows how the head tracker described in the manuscript "<strong>A passive, camera-based head-tracking system for real-time, three-dimensional estimation of head position and orientation in rodents" </strong>can track in real time the pose of the head of rat engaged in a perceptual discrimination task.</p>
Data for "A New Method of Three-Dimensional Location for Low-frequency Electric Field Detection Array"
<p>In a manuscript entitled “A New Method of Three-Dimensional Location for Low-frequency Electric Field Detection Array”, the lightning location data obtained by the low-frequency electric field detection array (LFEDA) were analyzed. The data of our results are including in the Data_for_Fig_0x.ogw. These files can be opened by Origin 9.0(or later). The data supports the aforementioned manuscript and can be used freely for scientific purposes with appropriate citation.</p>
Revealing the three-dimensional arrangement of polar topology in nanoparticles
<h1>Supplementary Data Codes</h1> <div>The data and source codes for the paper [<a>C.J., J.L., H.J., J.O., H.B., K.-J.G., J.S., S.-Y.C., S.P., L.B., and Y.Y., "Revealing the three-dimensional arrangement of polar topology in nanoparticles", <em>Nat. Commun. </em><strong>15</strong><em>.</em> 3887, (2024)]</a> are posted below.</div> <div> </div> <h1>Overview</h1> <div> <p>In the early 2000s, low dimensional ferroelectric systems were predicted to have topologically nontrivial polar structures, such as vortices or skyrmions, depending on mechanical or electrical boundary conditions. A few variants of these structures have been experimentally observed in thin film model systems, where they are engineered by balancing electrostatic charge and elastic distortion energies. However, the measurement and classification of topological textures for general ferroelectric nanostructures have remained elusive, as it requires mapping the local polarization at the atomic scale in three dimensions. Here we unveil topological polar structures in ferroelectric BaTiO3 nanoparticles via atomic electron tomography, which enables us to reconstruct the full three-dimensional arrangement of cation atoms at an individual atom level. Our three-dimensional polarization maps reveal clear topological orderings, along with evidence of size-dependent topological transitions from a single vortex structure to multiple vortices, consistent with theoretical predictions. The discovery of the predicted topological polar ordering in nanoscale ferroelectrics, independent of epitaxial strain, widens the research perspective and offers potential for practical applications utilizing contact-free switchable toroidal moments.</p> </div> <h1>System Requirements</h1> <div>1. All software dependencies and operating systems (including version numbers)</div> <div>Software: MATLAB R2021a – academic use</div> <div>Operating systems: CentOS Linux 7</div> <div> </div> <div>2. Versions the software has been tested on</div> <div>MATLAB R2021a – academic use</div> <div> </div> <div>3. Any required non-standard hardware</div> <div>There are no non-standard hardware</div> <div> </div> <h1>Repositary Contents</h1> <h3>1. Raw Experiment Data</h3> <div>Folder : 1_Raw_data</div> <div> </div> <div>This folder contains raw experimental projections before denoising as well as their corresponding angles for Particle 1 and Particle 2.</div> <div> </div> <div>File name</div> <div>: ImageData.mat : raw experimental projections</div> <div>: Angles.mat : corresponding angles</div> <div> </div> <h3>2. Experiment Data</h3> <div>Folder: 2_Measured_data</div> <div> </div> <div>This folder contains experimental projections after denoising and alignment as well as their corresponding angles for Particle 1 and Particle 2.</div> <div> </div> <div>File name</div> <div>: projections.mat : experimental projections after denoising and alignment</div> <div>: zeroprojections.mat : zero-degree projections at the beginning, in the middle, and at the end of the experiment </div> <div>: angles.mat : corresponding angles</div> <div> </div> <h3>3. Reconstructed 3D Volume</h3> <div>Folder: 3_Final_reconstruction_volume</div> <div> </div> <div>This folder contains the 3D volume (before and after orientation) of the BaTiO3 nanoparticles (Particle 1 and Particle 2) reconstructed from GENFIRE algorithm.</div> <div>The original GENFIRE URL is below.</div> <div>(https://www.physics.ucla.edu/research/imaging/dataSoftware.html)</div> <div> </div> <div>File name</div> <div>: volume_Particle1.mat : Reconstructed 3D volume of Particle 1</div> <div>: volume_Particle2.mat : Reconstructed 3D volume of Particle 2</div> <div>: reorientedvol_Particle1.mat : Reoriented volume along crystallographic direction of Particle 1</div> <div>: reorientedvol_Particle2.mat : Reoriented volume along crystallographic direction of Particle 2</div> <div>: Up_Particle1.mat : Rotation matrix for rotating along crystallographic direction of Particle 1</div> <div>: Up_Particle2.mat : Rotation matrix for rotating along crystallographic direction of Particle 2</div> <div> </div> <h3>4. Experimental Atomic Structure</h3> <div>Folder : 4_Final_atomic_structures</div> <div> </div> <div>This folder contains the final 3D atomic model and chemical species (i.e. type 1 for Ti atom, type 2 for Ba atom) of the BaTiO3 nanoparticles.</div> <div> </div> <div>File name</div> <div>: Final_atomic_model_Particle1.mat : Final 3D atomic model and chemical species of Particle 1 (after orientation along crystallographic direction)</div> <div>: Final_atomic_model_Particle2.mat : Final 3D atomic model and chemical species of Particle 2 (after orientation along crystallographic direction)</div> <div> </div> <h3>5. Data analysis</h3> <div>Folder : 5_Data_analysis</div> <div>This folder contains the analysis of creating Ti atomic displacement field and its topological analysis.</div> <div>1. Run the code Main_1_Ti_atomic_displacement_field.m to compute Ti atomic displacement fields for all Ti atoms surrounded by 8 nearest neighbor Ba atoms based on bcc fitting and calculate tetragonality map (c/a ratio) by using local tetragonal fitting.</div> <div>2. Run the code Main_2_Obtain_Topological_Charge.m to conduct topological analysis (i.e. helicity, winding number, pontryagin charge density, skyrmion number, monopole analysis and hopf invariants.</div> <div> </div> <div>If you use any of the above data or source codes in your publications and/or presentations, our paper should be properly cited: <a>C.J., J.L., H.J., J.O., H.B., K.-J.G., J.S., S.-Y.C., S.P., L.B., and Y.Y., "Revealing the three-dimensional arrangement of polar topology in nanoparticles", <em>Nat. Commun. </em><strong>15</strong><em>.</em> 3887, (2024)</a><br><br>If you have any questions regarding the above data or source codes, please contact Yongsoo Yang, Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea. Email: <a href="mailto:yongsoo.yang@kaist.ac.kr">yongsoo.yang@kaist.ac.kr</a></div>
ATLAS OmniFold 24-Dimensional Z+jets Open Data
<div>These datasets contain the unbinned, twenty-four-dimensional ATLAS Z+jets differential cross-section measurement presented in <a href="https://cds.cern.ch/record/2899105" target="_blank" rel="noopener">CERN-EP-2024-132</a>. The measurements are presented as Pandas DataFrames in HDF5 format, and they are accompanied by MC predictions formatted as Numpy arrays. Measurements are provided both for "pseudo-data", i.e. a validation MC sample with truth- and reco-level quantities that has been reweighted to match data, as well as real data. </div> <div> </div> <div><strong>Important: </strong>Before using this data, please consult the <a href="https://gitlab.cern.ch/atlas-physics/public/sm-z-jets-omnifold-2024" target="_blank" rel="noopener">documentation & example notebooks</a>. </div> <div> </div> <div>The signal process is inclusive Z→μμ production with a fiducial region defined in the boosted regime: p_T^μμ > 200 GeV. </div> <div> </div> <div>In total, 24 Z+jets kinematic observables are measured:</div> <ul> <li>p_T, η, and ϕ of each of the two muons (6 observables)</li> <li>The p_T and rapidity of the dimuon system: p_T^μμ, y^μμ (2 observables)</li> <li>The 4-momenta (p_T, y, ϕ, m) of the two leading charged particle jets (8 observables)</li> <li>The number of (charged) constituents and n-subjettiness quantities τ_1, τ_2, and τ_3 for each of the same two jets (8 observables)</li> </ul> <div>The dimuon system p_T and y can be obtained from the muon kinematics, but they are included for convenience. The observables are labeled by 1 and 2 for leading and subleading in p_T, respectively. </div>
Identification of Three-Dimensional Landslide Movement Based on GNSS Measurement and Geological Properties to Improve Disaster Mitigation Response
<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>
one dimensional model configurations for MITgcm+Darwin3
<p>Contents:</p> <ul> <li>code_2+1+0_1D</li> <li>code_31+16+3_RT_1D</li> <li>code_6+4+0_1D</li> <li>code_6+4+0_RT_1D</li> <li>code_6+4+0_RT_QUOTA_1D</li> <li>diagnostics</li> <li>input_2+1+0_1D</li> <li>input_31+16+3_RT_1D</li> <li>input_6+4+0_1D</li> <li>input_6+4+0_RT_1D</li> <li>input_6+4+0_RT_QUOTA_1D</li> </ul>
Raw data: Unravelling the mechanistic complexity of oxygen evolution reaction and Ir dissolution in highly dimensional amorphous hydrous iridium oxides
<p>Raw data for the manuscript titled:</p> <p><strong>Unravelling the mechanistic complexity of oxygen evolution reaction and Ir dissolution in highly dimensional amorphous hydrous iridium oxides</strong></p> <p> </p>
A digital twin model of urban utility tunnels and its application:One-dimensional comparison verification
<div> <div> <div> <div> <div> </div> 重点词汇</div> <div> <div>93<em>/</em>5000</div> </div> </div> </div> </div> <div> </div> <div> <div> <div> <div> <div> <div>通用场景</div> <div> </div> </div> </div> </div> </div> <div> <div> <p><span>论文《城市综合管廊数字孪生模型及其应用》中一维综合管廊中天然气浓度分布快速预测模型结果对比</span></p> </div> </div> </div>
Three-dimensional atomic interface between metal and oxide in Zr-ZrO2 nanoparticles
<p>Metal-oxide interfaces with poor coherency have unique properties comparing to the bulk materials and offer broad applications in the fields of heterogeneous catalysis, battery, and electronics. However, current understanding of the three-dimensional (3D) atomic metal-oxide interfaces remains limited because of their inherent structural complexity and limitations of conventional two-dimensional imaging techniques. Here, we determine the 3D atomic structure of metal-oxide interfaces in zirconium-zirconia nanoparticles using atomic-resolution electron tomography. We quantitatively analyze the atomic concentration and the degree of oxidation, and find the coherency and translational symmetry of the interfaces are broken. Atoms at the interface have low structural ordering, low coordination and elongated bond length. Moreover, we observe porous structures such as Zr vacancies and nano-pores and investigate their distribution. Our findings provide a clear 3D atomic picture of metal-oxide interface with direct experimental evidence. We anticipate this work could encourage future studies on fundamental problems of oxides such as interfacial structures in semiconductor and atomic motion during oxidation process.</p>
Three-dimensional atomic interface between metal and oxide in Zr-ZrO2 nanoparticles
<p>Metal-oxide interfaces with poor coherency have unique properties comparing to the bulk materials and offer broad applications in the fields of heterogeneous catalysis, battery, and electronics. However, current understanding of the three-dimensional (3D) atomic metal-oxide interfaces remains limited because of their inherent structural complexity and limitations of conventional two-dimensional imaging techniques. Here, we determine the 3D atomic structure of metal-oxide interfaces in zirconium-zirconia nanoparticles using atomic-resolution electron tomography. We quantitatively analyze the atomic concentration and the degree of oxidation, and find the coherency and translational symmetry of the interfaces are broken. Moreover, we observe porous structures such as Zr vacancies and nano-pores and investigate their distribution. Our findings provide a clear 3D atomic picture of metal-oxide interface with direct experimental evidence. We anticipate this work could encourage future studies on fundamental problems of oxides such as interfacial structures in semiconductor and atomic motion during oxidation process.</p>
(simulated Data:) Detecting interactions in high dimensional data using Cross Leverage Scores
<p>We upload the data according to the paper "Detecting interactions in high dimensional data using Cross Leverage Scores" (Teschke et al., 2024) which we submitted at the Biometrical Journal. The data is also being uploaded on behalf of the paper's co-authors, Katja Ickstadt and Alexander Munteanu.</p> <p>Furthermore we upload some Intermediate results, because calculations takes very long time and need lots of memory. You can therefore use them for further insights.</p> <p>For details of the simulation, we refer to Teschke et al. (2024).</p>
Interaction of one-dimensional trivial and non-trivial travelling waves in a three-species competition-diffusion system
<p>We consider the situation where an exotic species <em>w</em> invades an ecosystem inhabited by two native species <em>u</em> and <em>v</em>. All species are competing for the same limited resource. Supposing that <em>u</em> and <em>v</em> are not able to coexist in the absence of the invader, we want to determine whether a successful invasion by <em>w</em> may allow all species to coexist (competitor-mediated coexistence). Mathematically, this problem can be modelled by the following three-species competition-diffusion system<br> <span class="math-tex">\( \left\{ \begin{alignedat}{6} u_t &= d_1 \, \Delta u &&+ (r_1 &&- u &&- b_{12} \, v &&- b_{13} \, w &&)\,u, \\ v_t &= d_2 \, \Delta v &&+ (r_2 &&- v &&- b_{21} \, u &&- b_{23} \, w &&)\,v, \\ w_t &= d_3 \, \Delta w &&+ (r_3 &&- w &&- b_{31} \, u &&- b_{32} \, v &&)\,w, \end{alignedat} \right.\)</span><br> where all parameters are positive constants.</p> <p>We are interested in the case in which the invading species is weaker than the native ones, i.e., it is not able to survive in the diffusion-free system obtained by setting <em>d</em><sub>1</sub> = <em>d</em><sub>2</sub> = <em>d</em><sub>3</sub> = 0.<br> We fix all parameters as<br> <span class="math-tex">\( \begin{aligned} & d_1 = d_2 = d_3 = 1, \\ & r_1 = r_2 = 28, \\ & \begin{aligned} b_{12} &= 22/21, & b_{13} &= 4, \\ b_{21} &= 1.87, & b_{23} &= 3/4, \\ b_{31} &= 26/21, & b_{32} &= 22/21, \\ \end{aligned} \end{aligned}\)</span><br> and leave <em>r</em><sub>3</sub>, which measures the strength of the exotic species, as a free parameter. Depending on the value of <em>r</em><sub>3</sub>, the invasion can be either successful or not and competitor-mediated coexistence may or may not occur.</p> <p>It turns out that if <em>r</em><sub>3</sub> lies in a certain range of values, the three-species competition-diffusion system admits two planarly stable travelling wave solutions. In the movies here presented, the result of the interaction of these two waves in one spatial dimension is reported for several value of <em>r</em><sub>3</sub>. For relatively higher values of the free parameter, the relative velocity of the interacting waves is small and they merge into a single travelling pulse. As <em>r</em><sub>3</sub> decreases, the relative velocity of the two waves becomes larger and they merge into a breathing wave (a travelling pulse whose width is oscillating). If <em>r</em><sub>3</sub> is even smaller, the trivial wave is reflected as a leftward-moving non-trivial wave.</p>
Kinetic Alfvén waves excited in two-dimensional magnetic reconnection
<p>Simulation data used in the paper ”Kinetic Alfvén waves excited in two-dimensional magnetic reconnection", submitted to JGR-Space Physics.</p> <p>The directory contains the input file, output data and post-processing script from running iPIC3D for investigating the kinetic Alfvén waves in magnetic reconnection, while the code iPIC3D is available on <a href="https://bitbucket.org/bopkth/ipic3d-klm">https://bitbucket.org/bopkth/ipic3d-klm</a>.</p> <p>Each case represents different thickness of the current sheet. The details are described in the paper.</p>
Observed Variation of Three-dimensional Return Stroke Speeds Along the Channel in a Triggered Lightning
<p>In a manuscript entitled “Observed Variation of Three-dimensional Return Stroke Speeds Along the Channel in a Triggered Lightning”, the lightning data obtained by the Photron SAZ high-speed video and an improved VHF location system were analyzed. The data of our results are including in the Fig_x.figs. These files can be opened by MATLAB. The data supports the aforementioned manuscript and can be used freely for scientific purposes with appropriate citation.</p>
Dataset for "Full-wave Modelling of Terahertz Frequency Plasmons in Two-Dimensional Electron Systems"
<p>Dataset underpinning the paper "Full-wave Modelling of Terahertz Frequency Plasmons in Two-Dimensional Electron Systems" by A. Dawood et al 2019 <em>J. Phys. D: Appl. Phys.</em> https://doi.org/10.1088/1361-6463/ab0ab7</p>
Dataset underpinning the paper "Terahertz plasmon resonances in two-dimensional electron systems: Modeling approaches" by S. Siaber et al 2019 Phys. Rev. Appl.
<p>Dataset underpinning the paper "Terahertz plasmon resonances in two-dimensional electron systems: Modeling approaches" by S. Siaber et al 2019 Phys. Rev. Appl.</p>
Data for "A Method of Three-Dimensional Location for LFEDA Combining the Time of Arrival Method and the Time Reversal Technique"
<p>The data used to generate and be displayed in figures and tables in this manuscript can be downloaded here. Please use Matlab to open files in mat format and use Microsoft Excel to open files in xlsx format. The data can be used freely for scientific purposes with appropriate citation.</p>
Three-dimensional solar simulation data
<p>This is binary format simulation output from the three-dimensional MHD simulations described in the manuscript "Magnetic Reconnection of Solar Flux Tubes and Coronal Reconnection Signatures in the Solar Wind at 1 AU."</p>
Research data supporting "Surface Enhanced Raman Scattering Artificial Nose for High Dimensionality Fingerprinting"
<p>Experimental raw research data supporting the publication: Kim N., Thomas M.R. et al., 2019, Nature Communications.</p>
Date and codes for papar "Manifestation of topological gapless phase in two-dimensional chiral symmetric system through Loschmidt echo"
<p>The date and MATLAB codes of numerical calculations for the papar "Manifestation of topological gapless phase in two-dimensional chiral symmetric system through Loschmidt echo". The codes are runnable in the MATLAB version R2018a. </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.