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10 results for “wave angle”
Simulation data for "Characteristics of Wave-Particle Power Transfer as a Function of Electron Pitch Angle in Nonlinear Frequency Chirping" which will be submitted to Journal of Geophysical Research: Space Physics
<p>Simulation data for "Characteristics of Wave-Particle Power Transfer as a Function of Electron Pitch Angle in Nonlinear Frequency Chirping" which will be submitted to Journal of Geophysical Research: Space Physics.</p> <p>Including the simulation input parameter file and the necessary output data to plot each figure in the article. </p>
Waves plus currents INteracting at a right anGle over rough bedS (WINGS)
<p> </p> <p>The project aims at investigating the overall effects induced by combined wave plus current flow on the near bed flow in the presence of different roughness conditions (loose sand, gravel, fixed ripples) with waves and currents crossing at a right angle. This condition is indeed typical of coastal regions, where waves and longshore currents coexist. In this framework, the goal of the experiments is to understand how the combined flow affects the velocity distribution through the water column and the apparent bed roughness.</p>
Nonlinear scattering of 90-degree pitch angle electrons in the outer radiation belt by large-amplitude EMIC waves
<p>This file is a collection of numeric data files which were used to create all figures in the paper (under review as of December 19, 2019). All the data were obtained from numerically solving the Lorentz equation of motion for 5 MeV electrons under EMIC waves superposed onto a dipolar background magnetic field. </p>
Spin wave stiffness and damping in a frustrated chiral helimagnet Co8Zn8Mn4 as measured by small-angle neutron scattering
<p>The repository contains the data presented in the figures in the manuscript entitled <br> "Spin wave stiffness and damping in a frustrated chiral helimagnet Co8Zn8Mn4 as measured by small-angle neutron scattering".</p> <p>Requests for further information can be directed to the corresponding authors Victor Ukleev (victor.ukleev 'at' psi.ch).</p>
Direct evidence of the pitch angle scattering of relativistic electrons induced by EMIC waves
<p>High rate MagEIS data for the submitted paper "Direct evidence of the pitch angle scattering of relativistic electrons induced by EMIC waves"</p>
Pitch-angle and energy diffusion coefficients calculated for ions interacting with kinetic Alfven waves near the magnetopause
<p>In each file:<br> the first row (starting with the second column) contains pitch-angle grid in degrees<br> the first column (starting with the second row) contains the energy grid in keV<br> "x_to_L" value in the file name denotes the position in space along the normal to the magnetopause relative to the current sheet center (see description file).<br> energy diffusion coefficients are measured in keV^2/s, and pitch-angle coefficients are measured in rad^2/s.</p>
On the importance of using event-specific wave pitch angle diffusion rates in modeling diffuse electron precipitation
<p>These are simulation results from running RAM-SCB and GLOW models. Two simulations were conducted. One uses diffusion coefficients derived based on statistical wave properties ("stat"), and the other uses coefficients from event-specific simultaneous wave properties ("event"). Data include the precipitating electron flux, wave diffusion coefficients, and height profiles of ionospheric electron density.</p>
Ultrasound Plane Wave Raw Data 75 Angles - Breast Phantom and Calibration Phantom Dataset
<p><strong>Summary</strong></p> <p>This dataset is a collection of raw ultrasound plane wave data from a breast mimicking phantom and a calibration phantom. The breast phantom data contains samples of hyperechoic lesions, hypoechoic lesions and no lesions. Whereas the calibration phantom contains samples to experimentally validate resolution and contrast. This dataset was acquired to do experimental validation of physics based deep learning for image registration, about which a paper is a current work in progress.</p> <p> </p> <p><strong>Description</strong></p> <p><em>Sample information</em></p> <p>One the one hand this dataset contain 220 samples of in-vitro breast phantom ultrasound plane wave data (identified by CIRS073_RUMC). This data consists of three lesion types: hyperechoic lesions, hypoechoic lesions, and no lesions. On the other hand this dataset contains data from a calibration phantom (identified by CIRS040GSE). This data consists of: 5 samples of hypoechoic cysts, 5 samples from wire targets of 100 micrometer, 5 samples with -6dB and -3dB lesions in the field of view, and 5 samples with +3dB and +6dB in the field of view. All recordings were obtained twice: once in a low attenuating area 0.7 dB/cm/mHz, and once in a high attenuating area 0.95 dB/cm/mHz . The calibration phantom used is: Multi-Purpose Multi-Tissue Ultrasound Phantom Model 040GSE (CIRS, Norfolk, USA).</p> <p><em>Acquisition Information</em></p> <p>Data was acquired using a Verasonics Vantage T256 R256 system with an L12-5 50 mm linear array ultrasound transducer operating at a center frequency of 7.8 MHz. Plane wave data has been acquired consisting of 75 steering angles with an angle range of -16 degrees to +16 degrees. Verasonics scripts used for the acquisition are provided along with the data.</p> <p><em>Image Reconstruction</em></p> <p>The <a href="https://github.com/RALSchoop/DeepUS">GitHub repository</a> contains code to subsample any amount of angles from the 75 acquired angles and to do image reconstruction with the f-k migration algorithm on this dataset. This processing code is available in Python.</p> <p><strong>Involved Parties</strong></p> <p>This dataset was produced by the Computational Imaging group at Centrum Wiskunde & Informatica (CI-CWI) in Amsterdam, The Netherlands in collaboration with the Medical Ultrasound Imaging Center in Radboud UMC Nijmegen, The Netherlands.</p> <p><strong>Contact Details</strong></p> <p>r [dot] schoop [at] nki [dot] nl</p>
Safety and Efficacy of Deep Wave Trabeculoplasty (DWT) in Primary Open Angle Glaucoma and Ocular Hypertension
ClinicalTrials.gov study NCT02226094. IPD Sharing: Not stated. Countries: 1. Publications: 0.
CSRM Level 2 dataset: tele-seismic P-wave polarization angle in continental China
<p>This dataset contains the tele-seismic P-wave polarization angles (<strong>total 5,439,702 measurements</strong>) measured from P wave waveforms of 9361 tele-seismic events recorded by <strong>3848</strong> seismic stations deployed in continental China. This dataset results from a project of constructing a 3-D seismic model of the shallow crust in continental China (<a href="https://doi.org/10.1093/gji/ggab022">Xiao et al, 2021, GJI</a>) (<a href="https://doi.org/10.5281/zenodo.8099245">model link</a>). </p> <p>本数据集包含了利用中国大陆区域 <strong>3848</strong> 个地震台站记录的 9361 个远震事件的 P 波波形测量得到的 P 波偏振角度 (<strong>总共 </strong><strong>5,439,702 个</strong>) 。本数据集源于构建中国大陆区域高精度浅层地壳三维地震学模型的工作 (<a href="https://doi.org/10.1093/gji/ggab022">Xiao et al, 2021, GJI</a>) (<a href="https://doi.org/10.5281/zenodo.8099245">模型链接</a>) 。</p> <p>If you face any problem or issue in the usage of this dataset, please feel free to communicate with the corresponding author Xiao Xiao (<strong>xiaox.seis@gmail.com</strong>). </p>
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
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DANDI Archive for NWB datasets
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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.