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214 results for “amplitude”
Data files related to the article "Different meditation practices share the same neuronal correlates: increased gamma brainwave amplitude compared to control in three different meditation traditions
<p>Files description:</p> <p>- EEG datasets: the EEG data preprocessed in EEGLAB format</p> <p>- chanlocs.mat: contains channel characteristics for the study / used<br> to plot topographical maps of the data</p> <p> - 60110Hz_spec_data_imw_medit_combined.mat : contains spectrum data between 60 and 110 Hz for all 4 groups of subjects in combined instructed mind-wandering and meditation condition</p> <p> - 60110Hz_spec_data_medit.mat : contains spectrum data between 60<br> and 110 Hz for all 4 groups of subjects in meditation condition</p> <p> - 711Hz_spec_data_medit: contains spectrum data between 7 and 11 Hz for each group in meditation condition</p> <p>- boxplot_gamma.csv and boxplot_alpha.csv : median spectrum in the gamma and alpha ranged used to generate figure 4 B and 6 B</p> <p>- R_code_boxplot.r : code to generate boxplot using boxplot_gamma or boxplot_alpha.csv files</p>
Dispersion and viscous attenuation of capillary waves with finite amplitude (Supporting data)
<p>This data accompanies the paper "Dispersion and viscous attenuation of capillary waves with finite amplitude", published in European Physical Journal Special Topics. The spreadsheet (in OpenOffice format) contains the raw data pertaining to the studied capillary waves.</p>
Low-Amplitude Textures Explored with the Bare Finger: Roughness Judgments Follow an Inverted U-Shaped Function of Texture Period Modified by Texture Type
<p>Roughness is probably the most salient dimension pertaining to the perception of textures by touch and has been widely investigated. There is a controversy on how roughness relates to the texture’s spatial period and which factors influence this relation. Here, roughness during bare finger exploration of coarse textures is studied for different types of textures with elements of low height (0.3 mm). Participants were presented with square-wave gratings that were defined along one dimension and sine-wave gratings that were defined along one or two dimensions. Textures of each type varied in their spatial half period between 0.25 and 5.17 mm. Participants explored the textures by a lateral movement or a stationary finger contact. In all conditions judged roughness increased with spatial period up to a peak roughness and then decreased again. The exact function depended on the texture type, but hardly on exploration mode. We conclude that roughness is an inverted U-shaped function of texture period, if the textures are of low amplitude. The effects are explained by the interplay of two components contributing to the spatial code to roughness: variability in skin deformation due to the finger’s intrusion into the texture, which increases with the textures’ period up to a maximum (when the skin contacts the texture’s ground), and variability associated with the spatial frequency of the deformation, which decreases with spatial period.</p> <p><strong>Drewing</strong>, K. (2016). Low-Amplitude Textures Explored with the Bare Finger: Roughness Judgments Follow an Inverted U-Shaped Function of Texture Period Modified by Texture Type. <em>Haptics: Perception, Devices, Control, and Applications </em>(pp. 206-217). Springer: Heidelberg.</p> <p> </p> <p>The file DataPerTrialAndVp_Zenodo.txt contains all data relative to the publication.</p> <p>A description of the variables is contained in the file VARIABLE_CODES.txt</p>
Electrical impedance tomography - Depency of cardiac related impedance change amplitudes on body position and reconstruction algorithm
<p>Dataset of a publication investigating the influence of body position and reconstruction algorithm on the amplitudes of cardiac related impedance changes in healthy adult volunteers.</p>
Full-colour two-loop amplitudes for "Five-Parton Scattering in QCD at Two Loops"
<p>We provide analytic results for two-loop five-point scattering amplitudes in massless QCD in full colour.<br>If you use the results distributed with this repository in your research work, please cite <a href="https://arxiv.org/abs/2311.09870">2311.09870</a>.<br><br>There are two archives:</p><ol><li><strong>twoloop.fivept.qcd.fullcolour.tar.gz</strong>: contains all the analytic results in Mathematica readable format together with a set of auxiliary files, useful to obtain complete results for all possible partonic channels. A README file with a detailed description of the repository is provided, as well as an examples folder.<br> </li><li><strong>xings.pentagonfunctions.tar.gz</strong>: contains a set of files with all the necessary crossing identities for the pentagon functions. These files are named after the permutation they refer to, and we adopt the cycle notation. The files contained in this archive are needed to derive the complete set of results in various crossed channels.</li></ol><p>Some of the numerical results presented in the examples have been obtained using <a href="https://gitlab.com/pentagon-functions/PentagonFunctions-cpp">PentagonFunctions-cpp</a> and <a href="https://gitlab.com/pentagon-functions/PentagonMI">PentagonMI</a> (see <a href="https://arxiv.org/abs/2009.07803">2009.07803</a>). For numerical evaluation of the pentagon functions their installation is required.<br>For a detailed description of the repository, we refer the interested user to the README file.<br><br>From v1 to this v2: changes affect only the archive "twoloop.fivept.qcd.fullcolour.tar.gz". Differences with respect to v1: <br>- fixed error in color matrix for the partonic process "0 -> qb q g g g" [thanks to G. De Laurentis, H. Ita, M. Klinkert and V. Sotnikov for reporting]<br>- extended example: now all partonic channels presented in Table II of <a href="https://arxiv.org/pdf/2311.09870.pdf">2311.09870</a> are included<br>- added README also in "examples" folder</p>
Auralization of amplitude fluctuations in aircraft flyover
Open the record for dataset details and reuse information.
The amplitudes of electric fields generated by TI stratrgy under different electrode montages
<p>This dataset containes the amplitudes of electric fields generated by extraocular temporally interfering electrical stimulation under all the electrode mongtages mentiond in our research.There also original figures of our research. </p>
Supporting datasets used in the paper entitled "Aircraft-based observation of mineral dust particles over the western North Pacific in summer using a complex amplitude sensor"
<p>This archive contains datasets used in the paper entitled "Aircraft-based observation of mineral dust particles over the western North Pacific in summer using a complex amplitude sensor."</p>
Spatial distributions of XCO2 seasonal cycle amplitude and phase over northern high-latitude regions
<p>This dataset is the GEOS-Chem model output used in the following publication, <br> Jacobs, N., Simpson, W. R., Graham, K. A., Holmes, C., Hase, F., Blumenstock, T., Tu, Q., Frey, M., Dubey, M. K., Parker, H. A., Wunch, D., Kivi, R., Heikkinen, P., Notholt, J., Petri, C., and Warneke, T.: Spatial distributions of <em>X<sub>CO</sub></em><sub>2</sub> seasonal cycle amplitude and phase over northern high latitude regions, <em>Atmos. Chem. Phys. Discuss.</em> [preprint], https://doi.org/10.5194/acp-2021-185, in review, 2021.</p> <p>The version 2 zip file contains three directories.<br> CO2_tracers_daily/GEOSChem.taggedCO2.YYYYMMDD.nc files: this directory contains the CO<sub>2</sub> simulation as defined by Jacobs et al. (2021). YYYY indicates year, MM indicates month, and DD indicates day.<br> CO2_tracers_monthly/GEOSChem.taggedCO2.YYYYMM.nc files: this directory contains the CO<sub>2</sub> simulation as defined by Jacobs et al. (2021). YYYY indicates year and MM indicates month.<br> TT_tracers/GEOSChem.TTtagged.YYYYMM.nc files: this directory contains the tagged tracers simulation as defined by Jacobs et al. (2021). YYYY indicates year and MM indicates month.</p> <p>The version 1 zip file contains only the monthly mean directories.</p>
Grape V1 Data: Frequency Estimation and Amplitudes of North American Time Standard Stations
<p>Frequency and amplitude estimation data collected by Grape V1 stations in the Personal Space Weather Station network. </p>
Numerical data for scattering amplitudes of massive scalar particles in d>2
<p>Numerical data for scattering amplitudes of massive scalar particles in d>2 obtained by solving various optimisation problems. The data is stored as lists in Mathematica .m files. Mathematica notebook is provided for loading and plotting the data.</p>
Model simulation results for "Enhanced seasonal amplitude of atmospheric CO2 by the changing Southern Ocean carbon sink"
<p>This dataset contains the seasonal variations of monthly mean atmospheric CO<sub>2</sub> concentration derived from GEOS-Chem model simulations during 2000-2016. Monthly terrestrial CO2 fluxes derived from CLM4.5-CN, used as an input dataset for the GEOS-Chem simulations, are also included.</p> <p>There are six sets of GEOS-Chem simulation results; "ctrl", "BIOfix", "OCNfix", and "FFfix" are the main experiments to evaluate the effects of changes in terrestrial CO<sub>2</sub> fluxes, air-sea CO<sub>2</sub> fluxes, and fossil fuel CO<sub>2</sub> emissions on the seasonal amplitude of atmospheric CO<sub>2</sub> over the globe; "ALLfix" and "OCNfix_SO" are additional experiments for identifying the effects of changes in the other factors (i.e., atmospheric transport and biomass burning) and regional changes in air-sea fluxes in the Southern Ocean. </p> <p>Detailed explanations for each simulation are described in the main text.</p> <p>*We recommend contacting us first if you want to utilize the dataset for study (yjm921@gmail.com).</p>
1D-1V Vlasov-Poisson Simulations of Mutual Impedance Experiments for Strong Antenna Emission Amplitudes
<p>This dataset contains the outputs of numerical simulations performed to assess the impact of strong antenna emission amplitudes on the diagnostic performance of mutual impedance experiments. In the case of small emission amplitudes, the plasma response to the emission is linear. In the case of large emission amplitude, instead, non-linear wave-wave and wave-particle interactions are triggered. Using the outputs contained in this dataset, we investigated how such wave-wave and wave-particle interactions perturb mutual impedance experiments.</p> <p>Numerical model:<br> The outputs are obtained from a numerical model based on the solution of the 1D-1V Vlasov-Poisson system of equations. The scheme used to solve the model is the one developed by Mangeney, et al. (2002). <em>A Numerical Scheme for the Integration of the Vlasov-Maxwell System of Equations. Journal of Computational Physics</em>, (doi: <a href="https://doi.org/10.1006/jcph.2002.7071">https://doi.org/10.1006/jcph.2002.7071</a>). The 1D-1V Vlasov-Poisson version of this model is described in Henri, et al. (2010),<em> Vlasov-Poisson simulations of electrostatic parametric instability for localized Langmuir wave packets in the solar wind, Journal of Geophysical Research (Space Physics), 115, 6106 </em> <em>(</em>doi: <a href="https://doi.org/10.1029/2009JA014969">https://doi.org/10.1029/2009JA014969</a> <em>)</em> <em>.</em></p>
Low-amplitude long-period variable (OSARGs) candidates in Gaia DR3 LPV catalogue
<p>The low-amplitude long-period variable (LA-LPV) candidates in Gaia DR3 LPV catalogue. The selection is described in <a href="https://ui.adsabs.harvard.edu/abs/2024arXiv240606678Z/abstract">Zhang et al. 2024</a>. The heliocentric distances is in column "luminosity_dist" in unit of kpc. Other astrometric measurements are from Gaia DR3 and has the save column name as Gaia DR3. </p>
Data associated with the study: Unlocking DAS amplitude information through coherency coupling quantification
<p>Data associated with the study: Unlocking DAS amplitude information through coherency coupling quantification</p> <p>Here we include all DAS data used in the study that is not included in an open access repository elsewhere.</p> <p>Contents of this repository are:<br>Rutford icestream data:<br>1. Rutford_ice_stream_das_data/icequakes_information.csv - A csv file containing icequake information, including origin times and seismic moment.<br>2. Rutford_ice_stream_das_data/tdms/*.tdms - Raw DAS data recordings over the time periods when the icequakes occured. Data is recorded by a Silixa iDas.<br>(All other information on the deployment can be found in Hudson et al. (2021), JGR).</p> <p>Gornergletscher data:<br>3. Gornergletscher_das_data/gornerglethscer_das_qm_stations.csv - A file containing coordinates of all the fibre channels.<br>4. Gornergletscher_das_data/segy/*.sgy - Raw data files for the time periods used in this study. </p> <p> </p>
Blue large-amplitude pulsators formed from the merger of low-mass white dwarfs
<p>Here you will find the files necessary to reproduce the simulations from our work using the MESA (version 23.05.01), GYRE (version 6.0.1), and COSMIC (version 3.4.10) codes.</p>
GNSS amplitude scintillation index (S4) and ionospheric pierce point (IPP) from Zhuhai on 11 May 2024
<p>The ionospheric pierce point (IPP) location is named as "IPP_lla_CXX", sampled by 1-sec (86400 a day), where the columns are latitude, longitude, and altitude, respectively.</p> <p>The amplitude scintillation index (S4) is named as "S4_CXX_SYSU_132", sampled by 1-minute cadence (1440 a day).</p> <p>The data are provided in MATLAB format.</p>
Numerical data for scattering amplitudes of photon in d=4.
<p>Numerical data for scattering amplitudes of photons in d=4 obtained by solving various optimisation problems. The data is stored in .txt files. Mathematica notebook is provided for loading and plotting the data.</p>
Constraining gravitational wave amplitude birefringence with GWTC-3: Data Release
<p>Dataset release accompanying Constraining gravitational wave amplitude birefringence with GWTC-3.</p>
Radiocarbon, Tephra, and Paleomagnetic Data from 5 Northern North Atlantic Sediment Cores to support Reilly et al. 2023, "The Amplitude and Timescales of 0-15 ka Paleomagnetic Secular Variation in the Northern North Atlantic."
<p>Data in support of Reilly et al., 2023, "The Amplitude and Timescales of 0-15 ka Paleomagnetic Secular Variation in the Northern North Atlantic." Published in the Journal of Geophysical Research: Solid Earth.</p> <p> </p> <p>Excel file includes worksheets for the following data:</p> <p>Tabular versions of the Supplementary Data Tables from the associated publication:</p> <ul> <li>Supplementary Table S1 from Publication: 14C data from sediment cores used in study</li> <li>Supplementary Table S2 from Publication: 14C data used in the GREENICE15 Stack</li> <li>Supplementary Table S3 from Publication: Tephra data used in study</li> </ul> <p>Paleomagnetic Datasets for the Characteristic Remanent Magnetizations used in this study:</p> <ul> <li>Paleomagnetic Data for Core MD99-2264</li> <li>Paleomagnetic Data for Core MD99-2265</li> <li>Paleomagnetic Data for Core MD99-2266</li> <li>Paleomagnetic Data for Core MD99-2269</li> <li>Paleomagnetic Data for Core MD99-2322</li> </ul> <p>Independent radiocarbon based Age Models for 5 cores used in this study:</p> <ul> <li>Independent Age Model for Core MD99-2264</li> <li>Independent Age Model for Core MD99-2265</li> <li>Independent Age Model for Core MD99-2266</li> <li>Independent Age Model for Core MD99-2269</li> <li>Independent Age Model for Core MD99-2322</li> </ul> <p>PSV Dynamic Time Warping (DTW) solutions of 3 cores to target curve, as described in publication</p> <ul> <li>DTW solution for MD99-2265 to target curve</li> <li>DTW solution for MD99-2266 to target curve</li> <li>DTW solution for MD99-2322 to target curve</li> </ul> <p>GREENICE15 PSV Stack</p> <ul> <li>Age model for GREENICE15 Stack using combined radiocarbon dates and correlated equivalent depth scale</li> <li>Inclination, Declination, and alpha 95 for the GREENICE15 PSV Stack</li> </ul>
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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.