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117 results for “reaction time”
Response of protonated, adduct, and fragmented ions in Vocus proton-transfer-reaction time-of-flight mass (PTR-ToF-MS) spectrometer
<p>Here, we provide the time series and processed results of two sets of experiments: RH experimental results and instrument setting results:</p> <p><a href="../api/records/10947779/draft/files/202305015_E_N_BSQ_RF.pxp/content" target="_blank" rel="noopener noreferrer">202305015_E_N_BSQ_RF.pxp</a>: instrument setting results.</p> <p><a href="../api/records/10947779/draft/files/VOC_PTR_RH_20230427.pxp/content" target="_blank" rel="noopener noreferrer">VOC_PTR_RH_20230427.pxp</a>: RH experimental results.</p> <p><a href="../api/records/10947779/draft/files/VOC_PTR_S_k_20230501.pxp/content" target="_blank" rel="noopener noreferrer">VOC_PTR_S_k_20230501.pxp</a>: k value result analysis</p>
Visuomotor Reaction Time Performance in Collegiate Contact and Limited Contact Team Sports
Open the record for dataset details and reuse information.
Temperature and chemical composition of combustion gases over reaction time in several combustion tests conducted at a lab pilot plant to characterise a SRF prepared for an aluminium scrap pre-heating system (REVaMP project)
<p>Open access to experimental data generated by the REVaMP project (GA 869882, Horizon 2020, European Union) along the research of the combustion of a SRF, prepared from ASR, to be used as alternative fuel in a scrap pre-heater at an aluminium refinery plant.Research pertaining to Task 1.1 (WP1), Deliverable D1. <br> Underlying data for the publication Acha, E.; Lopez-Urionabarrenechea, A.;Delgado, C.; et al. Combustion of a Solid Recovered Fuel (SRF) Produced from the Polymeric Fraction of Automotive Shredder Residue (ASR). Polymers 2021, 13, 3807. https://doi.org/10.3390/polym13213807. Data related to Figures 3, 4, 5 in the article and Figures S3 and S5 of Supplementary materials of the manuscript.</p> <p>Subject: Study of the combustion of a SRF prepared from ASR in a lab-scale pilot plant consisting of a tank reactor and a packed-bed tubular reactor arranged in series, to evaluate the effects on kinetics and thermodynamics of the temperature and the type and flow rate of the oxidiser. Real-time measurements of the temperature of the tank, temperature of the gases and of the concentrations of O<sub>2</sub>, CO<sub>2</sub>, CO, N<sub>2</sub>O, NO<sub>2</sub>, NO, NH<sub>3</sub>, SO<sub>2</sub>, CH<sub>4</sub>, C<sub>2</sub>H<sub>6</sub>, C<sub>2</sub>H<sub>4</sub>, C<sub>3</sub>H<sub>8</sub>, C<sub>6</sub>H<sub>14</sub>, CH<sub>2</sub>O, HCl and HF in the combustion gases produced in 5 combustion runs performed at different reaction conditions. Useful information for designing the operation conditions of the SRF combustion chamber of the scrap pre-heater and for defining the flue gas cleaning requirements.</p>
Reaction times of spatially coherent and incoherent signals in a word recognition task
<p>Using conventional sound design, the audio signal in virtual reality applications is often rendered as a static stereophonic signal. It is accompanied by a visual signal that allows for interactive behavior such as looking around. In the current test, the influence of spatial offset between the audio and visual signals is investigated using reaction time measurements in a word recognition task. The audio-visual offset is introduced by a video presented at horizontal offset angles between 21, accompanied with a static central audio. Measurements are compared to reaction times from a test where both audio and visual signal are presented with the same angle. Results show that audio-visual offsets between 10 and 20 cause significant differences in reaction time compared to spatially matched presentation.</p> <p>This dataset provides the files used for creating these results, such as video files, MaxMSP patches, Analyses in MATLAB</p>
Limits of perceived audio-visual spatial coherence as defined by reaction time measurements
<p>Data accompanying the paper "Limits of perceived audio-visual spatial coherence as defined by reaction time measurements" published in Frontiers in Neuroscience, May 2019.</p>
Do genetic differences in growth thermal reaction norms maintain genetic variation in timing of diapause induction?
<ol> <li>An optimal timing for diapause induction through the sexual production of dormant propagules is expected in organisms with temporary populations. Yet, empirical studies often find high within-population genetic variation in the sexual production of such propagules, suggesting that this is a common feature of such organisms.</li> <li>Here, we hypothesize that genetic variation in the propensity to produce dormant propagules, <i>P<sub>d</sub></i>, is maintained by a genotype-by-environment interaction in clonal reproductive rates, where fast-growing genotypes within an environment should delay diapause relative to slow-growing genotypes. From this, we derive two predictions. First, if reaction norms of clonal reproduction cross between two environments, the genetic correlation of <i>P<sub>d</sub></i> between these environments should be negative. Second, the correlation between plasticity values of clonal reproduction and <i>P<sub>d</sub></i> should be negative.</li> <li>We tested these predictions by quantifying ephippia production in genotypes of a population of the facultative sexual cladoceran <i>Daphnia magna</i> at two temperatures. The population biomass at the onset of ephippia production was used as a measure of <i>P<sub>d</sub></i>, whereas juvenile somatic growth rate was used as a proxy for clonal reproductive rate. Plasticity for both measurements was derived from thermal reaction norms.</li> <li>Our results did not support either prediction, as neither the genetic correlation of <i>P<sub>d</sub></i> between environments, nor the correlation between plasticity values of growth and <i>P<sub>d</sub></i> were found to be significant.</li> <li>Our results suggest that genetic variation in the timing of diapause is not maintained by genetic differences in thermal clonal reproduction reaction norms. We propose as an alternative hypothesis that if there is across year variation in how stochastically the environment deteriorates, fluctuating selection may favor genotypes with different <i>P<sub>d</sub></i> between years.</li> </ol>
Raw dataset for "Rehybridization dynamics into the pericyclic minimum of an electrocyclic reaction imaged in real-time"
<p>The dataset contains raw diffraction images in .tiff format. Each image file name contains three numbers, separated by "_". The first number refers to the order in which the images were taking in laboratory time. The second number refers to the absolute translation stage position in millimeters in the optical beam path of the pump beam. The stage position can be converted into a pump-probe delay time (taking into account the speed of light and a factor of 2 for the beam path, since the pulses move back and forth on the stage). Larger stage position values correspond to the optical pump pulse arriving later with respect to the probe pulse. Time zero was determined to be at 156.26 mm using a solid reference sample.</p>
Ab initio multiple spawning simulations for "Rehybridization dynamics into the pericyclic minimum of an electrocyclic reaction imaged in real-time"
<p>60 ICs a(0.82)-2SA-cas(6,4)-SCF/6-31G* using AIMS/uPBE0-D3 for 1st ps of alpha-terpinene photochemistry. 20 for each<br> conformer upon rotation around the isopropyl group. Each initial condition (IC) is saved in a<br> separate folder labeled after conformers m, p, t, and with the index number of the initial condition.<br> The folder contains the positions and amplitudes of all trajectory basis functions (TBF) arising from<br> the initial condition as well as information about their coupling. The TBF index 1 always refers to<br> the TBF launched in the Franck-Condon region of the excited state based on an initial condition<br> sampled from a ground state Wigner distribution. </p> <p>Description of the folders and subsequent files in each IC folder:</p> <p>Simulation_data <br> X-YYYY : X is the isomer and YYYY is the initial condition number<br> "Positions.x.xyz" : Files containing the geometries of each TBF in cartesian coordinates in Angstroms<br> at each time step. The "x" in the filename corresponds to the index of the TBF.<br> "Amp.x" : Files containing the TBF amplitudes for each timestep.<br> "Spawn.log" : File containing timing information about the spawning events.<br> "S.dat" : File containing coupling matrices between the TBFs for every time step.<br> "ext_x" : Folders containing extensions of TBFs on DFT level. Each folder contains a file<br> "coors.xyz" with cartesian coordinates in Angstroms at each time step. The<br> timestep size of the DFT trajectories is uniformly 0.5 femtoseconds. Only TBFs in<br> the groundstate are extended on DFT level. Therefore, there is no folder "ext_1".</p> <p>Simulation_Parameters : Parameters for FMS and TeraChem nonadiabatic dynamics <br> X-rotamer : x is isomer containing parameter files for all X rotamers<br> "c0.casscf" : Binary file with the alpha(0.82)-SA2-CAS(6,4)-SCF/6-31G* orbitals<br> "Geometry.dat" : Initial condition (position and momentum) to start the FMS/TeraChem nonadiabatic dynamics<br> "Control.dat" : Parameter file for running FMS<br> "misc_options" : Parameter file for running TeraChem <br> "DFT-tc.in" : TeraChem adiabatic dynamics on ground electronic state (ext_x)<br> </p>
Data and code to create figures of "Rehybridization dynamics into the pericyclic minimum of an electrocyclic reaction imaged in real-time"
<p>Instruction of making Fig 4 in the main text:<br> 04/07/2023, SLAC, CA<br> Yusong (Liu), on behalf of Thomas (Wolf)</p> <p>1. Making Figure 1:<br> Figure 1 is fully vectorized with file 'Figure-1.svg', also saved in a png version, 'Figure-1.png'</p> <p>2. Making Figure 2:<br> The data plots in panels a and b are produced from a Matlab script: 'MakingFig2MainText.m'<br> This script loads data saved in 'TerpNatCommFig2.mat' and produce several files if using the saving condition:<br> 'PDFStaticTwoDelaysExpSim_22.fig'<br> 'PDFStaticTwoDelaysExpSim_22.png'<br> 'PDFStaticTwoDelaysExpSim_22.svg'<br> The final Figure 2, 'Figure-2.svg', then was assembled using 'PDFStaticTwoDelaysExpSim_22.svg' and 'Molskeleton.svg'.</p> <p>3. Making Figure 3:<br> The data plots in panels a, b, and c are produced from a Matlab script: 'MakingFig3MainText.m'<br> This script loads data saved in 'TerpNatCommFig3.mat' and produce several files if using the saving condition:<br> 'Fig3PDFFalseCMapLineOutExpSim_V10.fig'<br> 'Fig3PDFFalseCMapLineOutExpSim_V10.png'<br> 'Fig3PDFFalseCMapLineOutExpSim_V10.svg'<br> The final Figure 3, 'Figure-3.svg', then was assembled using 'Fig3PDFFalseCMapLineOutExpSim_V10.svg' and 'MolCartoonsFig3.svg'.</p> <p>4. Making Figure 4:<br> (1). Drawing the signal in Fig. 4 panel a<br> Fig. 4a was generated from a py script: 'MakingFig4aMainText.ipynb'<br> Run this script and it will load the data set 'MainFig4aData.npy'generate a figure showing Fig. 4a.<br> Change the figure saving condition to decide whether or not save the figure to both .svg and .png files as below:<br> 'Figure-4a.png'<br> 'Figure-4a.svg'<br> (2). Drawing the signals in Fig. 4 panels b and c<br> These two panels, the signals are drew from a Matlab script: 'MakingFig4bcMainText.m'<br> Run this script and it will load data set 'TerpNatCommFig4.mat' and plot panels b and c<br> Change the figure saving conditions to decide whether or not save to both .svg and .png files as below:<br> 'Fig4DataPanelsbc_v11.fig'<br> 'Fig4DataPanelsbc_v11.png'<br> 'Fig4DataPanelsbc_v11.svg'<br> (3). Fig 4 is then assembled with the 3 data plot panels, molecular cartoons, and equations:<br> Data plot panels:<br> 'Figure-4a.svg'<br> 'Fig4DataPanelsbc_v11.svg'<br> Molecular cartoons:<br> 'Fig4aCartoon.svg' 'Fig4bCartoon.svg' 'Fig4cCartoon.svg'<br> And equations:<br> 'Fig4bEquPhi.svg' 'Fig4cEquPsi.svg'<br> Fig 4 is fully vectorized with file: 'Figure-4.svg' and also saved as a .png version 'Figure-4.png'</p> <p>5. Making Figure-5:<br> The whole Fig. 5 is produced from a single .py script: 'MakingFig5MainText.ipynb'<br> Run the script and it will plot Figure-5. If choosing the save conditions, then it will save Figure-5 to 'Figure-5.svg' and 'Figure-5.png'.</p>
Dataset and code accompanying publication: "High gamma coherence between task-responsive sensory-motor cortical regions in a motor reaction-time task"
<p>For questions, contact Peter Brunner, PhD (pbrunner@wustl.edu)</p> <p>Code written by Shashank Anand (sanand24@wustl.edu) and Hohyun Cho (hohyun@wustl.edu)</p> <p>This repository contains the processed data and MATLAB scripts (*.m) used to create the figures of this publication. </p> <p>Custom dependences are included. EEGLAB and VERA must be downloaded separately. </p> <p>Figure 4 is generated using the same code as Figure 3 (fig3.m), but by changing the frequency of the coherence analysis. </p>
Open Data for publication Influence of the Time Scale on the Reaction Mechanism of CO Oxidation over a Au/TiO2 Catalyst
<p>The file contains the origianl raw data for publication:</p> <p>Influence of the Time Scale on the Reaction Mechanism of CO Oxidation over a Au/TiO2 Catalyst, Angewandte Chemie, 2023</p> <p>The data contains the IR spectra of the CO2 signal, the IR spectra at different temepratures (modulation experiments) and the IR spectra for different modulation periods at 50 deg C (modulation experiments), as described in the publication.</p>
Executive Reaction Time Test in Assessment of Cognitive Dysfunction After Aortic Valve Procedures
ClinicalTrials.gov study NCT01953068. IPD Sharing: Not stated. Countries: 1. Publications: 1.
The Effect of a Caffeine Blend on Reaction Time, Mental Performance and Focus in Athletic Males
ClinicalTrials.gov study NCT03019523. IPD Sharing: NO. Countries: 1. Publications: 1.
The Relationship Between Physical Activity Level and Reaction Time in University Students
ClinicalTrials.gov study NCT05801081. IPD Sharing: NO. Countries: 1. Publications: 1.
Reaction Time After Mobilization
ClinicalTrials.gov study NCT06168747. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
The Investigation of Acute Effects of Action Observation Training on Upper Extremity Functionality, Reaction Time and Cognitive Functions in Right-handed Healthy Subjects
ClinicalTrials.gov study NCT04932057. IPD Sharing: NO. Countries: 1. Publications: 1.
Effect of PeakATP on Mood, Reaction Time and Cognition
ClinicalTrials.gov study NCT05100589. IPD Sharing: NO. Countries: 1. Publications: 10.
Post-Fatigue Vibration: Impact on Grip and Reaction Time
ClinicalTrials.gov study NCT06949566. IPD Sharing: Not stated. Countries: 1. Publications: 14.
The Effect of Combined Exercise and NMES on Strength, Proprioception and Reaction Time in Scapholunate Instability
ClinicalTrials.gov study NCT06627296. IPD Sharing: NO. Countries: 1. Publications: 1.
Effect of Visio-Vestibular Exercises on Pain, Function, Balance, and Reaction Time in Chronic Neck Pain
ClinicalTrials.gov study NCT06802601. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
ScienceDex guides
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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.