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34 results for “time reversal”
Revealing Hidden Orbital Pseudospin Texture with Time-Reversal Dichroism in Photoelectron Angular Distributions
<p>Angle-resolved photoemission spectroscopy (ARPES) of bulk 2H-WSe2 for different crystal orientations linked to each other by time-reversal symmetry. This dataset supplements a manuscript, and was used to measure a new observable called time-reversal dichroism in photoelectron angular distributions (TRDAD), which quantifies the modulation of the photoemission intensity upon effective time-reversal operation. Experimental results are in quantitative agreement with both tight-binding model and state-of-the-art fully relativistic calculations performed using the one-step model of photoemission, unambiguously demonstrating that TRDAD reveals its orbital pseudospin texture counterpart.</p>
Resolution Enhancement of UWB Time-Reversal Microwave Imaging in Dispersive Environments (dataset)
<p>These files are the simulation data used to create the figures illustrated in the journal paper with the same title which has been accepted for publication as a regular paper in IEEE Transactions on Computational Imaging. Each filename indicates the figure number associated with the file. These files are text files. The column structure of each file is described in the README file.</p>
Figures of Influence of Time-Varying Atmospheric Channel on Time Reversal Spatial Power Combination of Sparse Array on Ground
<p>A mathematical model of TR (Time Reversal) power combination in the slowly time-varying atmospheric channel and the concept of channel time-varying factor are proposed to study the feasibility of TR technique for spatial power combination in incompletely reciprocal channels. Combining the theoretical analysis and Monte Carlo simulations, we analyze the relationship between the power combination efficiency and the permittivity of the time-varying atmospheric channel, which follows a normal distribution.</p> <p>In this data file, simulation results obtained by commercial software MATLAB are listed. The results indicate that the power combination efficiency of the TR technique will be lower than that of the completely reciprocal channel if the atmospheric channel is slowly varied, and the faster the channel changes, the lower the efficiency becomes. In order to keep the power combination efficiency above 50%, the channel time-varying factor needs to be less than about 54.3% of the signal period. And when it takes more than 90%, the signals radiated by each antenna have been completely incoherent at target point.</p>
Teleseismic reverse time migration image dataset of southwest Japan in "Three-dimensional teleseismic elastic reverse-time migration with deconvolution imaging condition and its application to southwest Japan"
<p>This dataset contains the teleseismic elastic reverse time migration results of southwest Japan used in the manuscript entitled "Three-dimensional teleseismic elastic reverse-time migration with deconvolution imaging condition and its application to southwest Japan". submitted to Journal of Geophysical Research Letters.</p>
Dataset for the manuscript "Observation of time-reversal symmetry breaking in the band structure of altermagnetic RuO2" in Science Advances Vol. 10, No. 5
<p>Dataset for publication "Observation of time-reversal symmetry breaking in the band structure of altermagnetic RuO2" in Science Advances Vol. 10, No. 5, https://doi.org/10.1126/sciadv.adj4883.</p> <p>The details corresponding to the dataset of the figures are given in a readme file in the corresponding folders.</p>
Flood timing data for the paper "Climate Leads to Reversed Latitudinal Changes in Chinese Flood Peak Timing"
<p>Flood timing data and derived flood objects used in the paper <em>Climate Leads to Reversed Latitudinal Changes in Chinese Flood Peak Timing.</em></p>
Data for "Estimation of Return Stroke Velocity by Time Reversal Reconstruction of Channel Feature Points"
<p>In the manuscript entitled “Estimation of Return Stroke Velocity by Time Reversal Reconstruction of Channel Feature Points”, station coordinates of the location system, simulation data, and experimental data can be obtained through the following attachment. These files can be opened by Matlab 2018(or later). The data supports the aforementioned manuscript and can be used freely for scientific purposes with appropriate citations.</p> <p> </p> <p>'IniationParameters_center.mat' is the coordinates of LFLLS stations and strike point (simulation).</p> <p>a) simulation_strike_point: coordinates of the return point (simulation).</p> <p>b) x0, y0, and z0: coordinates of LFLLS stations in x, y, and z directions.</p> <p> </p> <p>1. Simulation data (EE_zd: E-field waveforms (Unit V/m); Ee_zd: Electrostatic component of the E-field waveforms (Unit V/m); Ei_zd: Induction component of the E-field waveforms (Unit V/m); Er_zd: Radiation component of the E-field waveforms (Unit V/m); T: times corresponding to the E-field waveforms; vv: RS velocity condition; tort_x, tort_y, and tort_z: Coordinates of segmented channels).</p> <p>'Simulation_Vertical_channel_Ez_V1.mat' is the vertical channel E-field waveforms calculated under the RS velocity condition V1.</p> <p>'Simulation_Vertical_channel_Ez_V2.mat' is the vertical channel E-field waveforms calculated under the RS velocity condition V2.</p> <p>'Simulation_Vertical_channel_Ez_V3.mat' is the vertical channel E-field waveforms calculated under the RS velocity condition V3.</p> <p>'Simulation_Inclined_channel_Ez.mat' is the inclined channel E-field waveforms calculated under the RS velocity condition V1.</p> <p>'Simulation_Tortuous(randomly)_channel_Ez.mat' is the tortuous channel (randomly) E-field waveforms calculated under the condition of RS velocity constant.</p> <p>'Simulation_Tortuous_channel_Ez.mat' is the tortuous channel E-field waveforms calculated under the RS velocity condition V1.</p> <p> </p> <p>2. Experimental data</p> <p>'2020-08-09-002418-905.5ms(0.4)-siteidx(12346).mat' is the E-field original waveforms of -CG002418.RS2.</p> <p>a) wave: E-field original waveforms of -CG002418.RS2 (D.U.).</p> <p>b) time: times corresponding to the E-field waveforms.</p> <p> </p> <p>3. Figure data</p> <p>This folder contains the .fig format files of Figure 3 ~ 10 in the paper.</p>
Landmine Detection Using Electromagnetic Time Reversal-Based Methods. Part 1: Classical TR, Iterative TR, DORT and TR-MUSIC
<p>In this repository, you can find the simulation files used to reproduce the results presented in the paper titled "Landmine Detection Using Electromagnetic Time Reversal-Based Methods." If you find these files useful, please cite the paper as it helps acknowledge the work and support future research.</p> <p>This repository is organized into three main folders, each serving a distinct purpose and containing specific types of files:</p> <p><strong>CST-MWS Files</strong>: This folder contains the necessary files to simulate the examples discussed in the paper using CST Microwave Studio (CST-MWS). These files are essential for setting up and running the simulations that replicate the experimental results. </p> <p><strong>TR-MUSIC</strong>: In this folder, you will find the MATLAB m-file required to implement the TR-MUSIC (Time Reversal-MUltiple SIgnal Classification) method proposed in the paper. This MATLAB script is designed to help users apply the TR-MUSIC algorithm to their data, enabling them to detect landmines effectively. </p> <p><strong>2D-GFB</strong>: The 2D-GFB folder contains the MATLAB m-file necessary to run the 2D TR-MUSIC and DORT (Decomposition of the Time Reversal Operator) methods. These advanced techniques are crucial for analyzing two-dimensional data and enhancing the accuracy of landmine detection. </p> <p><br>By organizing the repository in this manner, we aim to make it easier for researchers and practitioners to access and utilize the simulation files effectively. Whether you are replicating the study's results or applying these methods to new datasets, the files and instructions provided should serve as a valuable resource.</p> <p>If you encounter any issues or have questions regarding the use of these files, please do not hesitate to reach out for support. We hope this repository aids your research and contributes to advancements in landmine detection technologies.</p> <p> </p>
Data supporting the publication "Quadrature nonreciprocity in bosonic networks without breaking time-reversal symmetry"
<p>Data supporting the publication "Quadrature nonreciprocity in bosonic networks without breaking time-reversal symmetry"</p>
Safety, Tolerability, PK and PD of BI 655075 and Establishment of BI 655075 Dose(s) Effective to Reverse Prolongation of Blood Coagulation Time by Dabigatran
ClinicalTrials.gov study NCT01955720. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Supplementary material for: nQMaker: estimating time non-reversible amino acid substitution models
<p><span>Amino acid substitution models are a key component in phylogenetic analyses of protein sequences. All commonly-used amino acid models available to date are time-reversible, an assumption designed for computational convenience but not for biological reality. Another significant downside to time-reversible models is that they do not allow inference of rooted trees without outgroups. In this paper, we introduce a maximum likelihood approach nQMaker, an extension of the recently published QMaker method, that allows the estimation of time non-reversible amino acid substitution models and rooted phylogenetic trees from a set of protein sequence alignments. We show that the non-reversible models estimated with nQMaker are a much better fit to empirical alignments than pre-existing reversible models, across a wide range of datasets including mammals, birds, plants, fungi, and other taxa, and that the improvements in model fit scale with the size of the dataset. Notably, for the recently published plant and bird trees, these non-reversible models correctly recovered the commonly estimated root placements with very high statistical support without the need to use an outgroup. We provide nQMaker as an easy-to-use feature in the IQ-TREE software (<a href="http://www.iqtree.org">http://www.iqtree.org</a>), allowing users to estimate non-reversible models and rooted phylogenies from their own protein datasets.</span></p>
Interaction-induced strong zero modes in short quantum dot chains with time-reversal symmetry
<p>The code repository for the manuscript "<span>Interaction-induced strong zero modes in short quantum dot</span><br><span>chains with time-reversal symmetry".</span></p>
Superconducting diode effect under time reversal symmetry
<p>In noncentrosymmetric superconductors, superconducting and normal conductions can interchange based on the current flow direction. This effect is termed a superconducting diode effect (SDE), which is a focal point of recent research. The broken inversion and time reversal symmetry is believed to be the requirements of SDE but their intrinsic role has remained elusive. Here, we report strain-controlled SDEs in a layered trigonal superconductor, PbTaSe2. The SDE was found exclusively in a strained device with its absence in an unstrained device, despite that it is allowed in unstrained trigonal structure. Moreover, the zero-field or magnetic field-even (magnetic field-odd) SDE is observed when the strain and current are along armchair (zigzag) direction The results unambiguously demonstrate the intrinsic SDE under time-reversal symmetry and the critical role of strain-induced electric polarization.</p>
Symmetry Enforced Fermi Surface Degeneracies Observed in Time-Reversal Symmetry-Breaking Superconductor LaNiGa2
<p>ARPES data for manuscript "Symmetry Enforced Fermi Surface Degeneracies Observed in Time-Reversal Symmetry-Breaking Superconductor LaNiGa2"</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>
Seismic dataset in "Source-Independent Passive Seismic Reverse-time Structure Imaging with Grouping Imaging Condition: Method and Application to Microseismic Events Induced by Hydraulic Fracturing"
<p>This dataset contains the seismic data and the velocity model used in the manuscript entitled "Source-Independent Passive Seismic Reverse-time Structure Imaging with Grouping Imaging Condition: Method and Application to Microseismic Events Induced by Hydraulic Fracturing" submitted to Journal of Geophysical Research-Solid Earth.</p>
Steady-state and time-resolved data for the article "Genetically encoded non-canonical amino acids reveal asynchronous dark reversion of chromophore, backbone and side-chains in EL222"
<p>1. Steady-state data</p> <p>Spectra were taken with/without continuous irradiation with a wavelength of 450 nm.</p> <p>1.1 CNF absorption region (2200-2260 cm<sup>-1</sup>)</p> <p>1.2. Amide absorption region (1500-1800 cm<sup>-1</sup>)</p> <p>1.3. UV/Visible absorption region (320-550 nm)</p> <p>Each spectral region has 3 datasets:</p> <p>- DARK</p> <p>- LIT (photostationary state)</p> <p>- DIFFERENCE (lit-minus-dark)</p> <p>The first row contains the variants.</p> <p>The first column contains the wavenumber (in cm<sup>-1</sup>) or wavelength (in nm).</p> <p>2. Time-resolved data.</p> <p>Dark recovery reaction after switching lights off (wavelength of 450 nm).</p> <p>2.1. EL222_WT_H2O</p> <p>2.2. EL222_WT_D2O</p> <p>2.3. EL222_W31CNF</p> <p>2.4. EL222_L35CNF</p> <p>2.5. EL222_N53CNF</p> <p>2.6. EL222_Y136CNF</p> <p>2.7. EL222_M151CNF</p> <p>2.8. EL222_L216CNF</p> <p>2.9. EL222_LOV_H2O</p> <p>2.10. EL222_LOV_D2O</p> <p>For each variant we have measured 3 spectral regions (except for 2.1, 2.2., 2.9 and 2.10, which lack CNF):</p> <p>- CNF: 2200-2270 cm<sup>-1</sup></p> <p>- AMIDE: 1500-1750 cm<sup>-1</sup></p> <p>- UVVIS: 320-550 nm</p> <p>For each probe we have 2 datasets:</p> <p>- DATA: the experimental lit-minus-dark absorbance difference spectra. </p> <p>The first row contains the time delays (in seconds).</p> <p>The first column contains the wavenumbers (in cm<sup>-1</sup>) or wavelength (in nm).</p> <p>- LDA: the lifetime density maps calculated from the corresponding DATA using the inverse Laplace transform and maximum entropy penalty.</p> <p>The first row contains the lifetimes (in seconds).</p> <p>The first column contains the wavenumbers (in cm<sup>-1</sup>) or wavelength (in nm).</p> <p>If you use these datasets please cite:</p> <p>Chaudhari, A.S.; Chatterjee, A.; Domingos, C.A.O.: Andrikopoulos, P. C.; Liu, Y.; Andersson, I.; Schneider, B.; Lórenz-Fonfría, V.A.; Fuertes, G. Genetically Encoded Non-canonical Amino Acids Reveal Asynchronous Dark Reversion of Chromophore, Backbone and Side-chains in EL222. <em>Protein Science</em>. 2023 <a href="https://doi.org/10.1002/pro.4590">https://doi.org/10.1002/pro.4590</a></p>
Data from: Ready to detect a reversal of time's arrow: a psychophysical study using short video clips in daily scenes
<p><span>It is generally believed that time flows in one direction and that a reversal of time's arrow would render the external world nonsensical. We </span><span>evaluated</span><span> our ability to tell the direction of time's arrow in a wide range of dynamic scenes in our daily life by presenting 360 video clips in the correct or incorrect direction</span><span>. </span><span>Participants, who judged the direction in a speeded manner, erred in 39% of trials when a video was played in reverse</span><span>,</span><span> but in </span><span>only </span><span>9% when it was played normally. Due to the bias favouring the "forward" judgement, reaction was generally faster for the forward response. However, </span><span>the</span><span> reaction became paradoxically faster and more synchronous for the detection of reversal in some critical occasions such as forward motion</span><span>, </span><span>free fall, diffusion, division, and addition of materials by hand. Another experiment with a fraction of the video clips revealed that reversal replay of these videos provided instantaneous evidence strong enough to overtake the forward judgment bias. We suggest that our brain is equipped with a system that predicts how the external organisms behave or move in these critical occasions and that the prediction error of the system contributes to the fast "reversal" detection. </span></p>
The Effect of Methylprednisolone on the Reversal Time of Rocuronium by Sugammadex in the Pediatric Patient Group
ClinicalTrials.gov study NCT06623370. IPD Sharing: NO. Countries: 1. Publications: 1.
The Breaking "Bad Rest" Study: Interrupting Sedentary Time to Reverse Frailty Levels in Acute Care
ClinicalTrials.gov study NCT03682523. IPD Sharing: Not stated. Countries: 1. Publications: 29.
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Allen Brain Atlas
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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.
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.