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128 results for “Vortex”
Visualisation Scripts: Predictability of the 2020 strong vortex in the Antarctic stratosphere and the role of ozone
<p>NCL (https://www.ncl.ucar.edu/) scripts to generate Figures 1-15 and Supplementary Figures S1-S7. </p>
Amateur Radio Spot Data for "First Observations Linking Large-Scale Traveling Ionospheric Disturbances to Polar Vortex Strength"
<p>This repository contains the raw data amateur radio data used to compute the Large Scale Traveling Ionosphic Disturbance activity presented the<br>Geophysical Research Letters manuscript<br>"First Observations Linking Large-Scale Traveling Ionospheric Disturbances to Polar Vortex Strength".</p> <p>This dataset has monthy *.tar files containing daily bzip2 Comma Separated Value (CSV) files of data from the following amateur radio spotting networks for the time period November 2018 - May 2019:</p> <ol> <li><a href="https://pskreporter.info/" target="_blank" rel="noopener">PSKReporter (https://pskreporter.info/)</a></li> <li><a href="https://www.wsprnet.org/" target="_blank" rel="noopener">Weak Signal Propagation Reporter Network (WSPRNet, https://www.wsprnet.org/)</a></li> <li><a href="https://reversebeacon.net/" target="_blank" rel="noopener">Reverse Beacon Network (https://reversebeacon.net/)</a></li> </ol> <p>Where necessary, spots have been geolocated using latitudes and longitudes from <a href="https://www.qrz.com/">https://www.qrz.com/</a>.</p> <p>We are grateful to the operators of PSKReporter, WSPRNet, and the Reverse Beacon Network for the use of their data.</p> <p>The columns of each CSV file correspond to the following values:</p> <p># [0] UTC Datetime <br># [1] Transmitter Call Sign<br># [2] Transmitter Maidenhead Grid Square<br># [3] Transmitter Geographic Latitude<br># [4] Transmitter Geographic Longitude<br># [5] Source of Transmitter Gride Information<br>#<br># [6] Receiver Maidenhead Grid Square<br># [7] Receiver Geographic Latitude<br># [8] Receiver Geographic Longitude<br># [9] Source of Receiver Gride Information<br>#<br># [11] Frequency (Hz)<br># [12] Signal to Noise Ration (SNR) [dB]<br># [13] Mode<br>#<br># [14] Source<br># [15] Sender Status<br># [16] Inter-Modulation Distortion (IMD)<br># [17] ipOriginID<br># [18] sendeMobileLocator<br># [19] c1<br># [10] c2<br># [21] mode2</p> <p># Computed Fields<br># [22] Great Circle Short Path [km]<br># [23] Great Circle Short Path Midpoint Geographic Latitude<br># [24] Great Circle Short Path Midpoint Geographic Longitude</p> <p>This dataset is designed to be used with the LSTID autodetection software available at <a href="https://doi.org/10.5281/zenodo.13630867" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13630867</a>.</p>
Data from: 2D, 2Layer, interfacial waves due to one vortex pair
<p>This data set contains the results of the downstream wave heights of the interfacial waves in the 2D, 2Layer fluids flows considered in the article Interference of Internal waves due to two point vortices: linear analytical solution and nonlinear interaction". This work considered the interaction/interference between two vortices int the background of the 2D, 2-Layer fluids flows to simulate the ocean internal waves. More details about the research can be seen in the draft. Besides, MATLAB files that were used to calculate numerical fully nonlinear solutions and linearized solutions, to evalutate the downstream wave heights/lengths, and to generates figures located in the article are contained.</p> <p>The Folder<em> jfnk </em>contains the functions that evaluate the nonlinear solutions via JFNK method. The Folder<em> linear </em>contains the functions that can be used to evaluate the linearized solutions. And the folder <em>reusltsAnalysis </em>consists of the tools that evaluate the wave height/length of the nonlinear solutions.</p> <p>The results in the data provide the nonlinear downstream wave heights which vary with the distance between two vortices. Four cases based on different signs of these two vortices are considered: both positive (denoted as PP), both negative (denoted as NN), one positive one negative (denoted as PN), and one negative one positive (denoted as NP). More analysis and results are presented in the article.</p>
Effects of Precipitation Latent Heating on Structure and Evolution of Northeast China Cold Vortex: A PV Perspective
<p>This is the dataset used in the paper entitled "Effects of Precipitation Latent Heating on Structure and Evolution of Northeast China Cold Vortex: A PV Perspective" by Ziqi Fan, Ming Xue, Kefeng Zhu, Liping Luo, Zongting Gao and Shangfeng Li.</p>
Time-Resolved Plasmon-Assisted Generation of Arbitrary Optical-Vortex Pulses - Supporting Information - Trajectories
<p>We provide videos of trajectories for a test charge, bound by Lennard-Jones potential. First video, titled "Plane Wave Trajectory " refers to the particle under the effect of a plane wave pulse. The other video , titled "Emitter Trajectory" refers to the particle affected by an orbital angular momentum carrying pulse.</p> <p>These videos are supplementary materials for the article titled "Time-Resolved Plasmon-Assisted Generation of Arbitrary Optical-Vortex Pulses".</p>
Implication of Left veNtricle Vortex Flow Guided aNticOagulation Therapy for preVenting Apical Thrombus Formation In Patients With Acute myOcardial infarctioN: Multicenter Prospective Randomized Clini
ClinicalTrials.gov study NCT01869998. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Plasticity drives extreme cold tolerance of emerald ash borer (Agrilus planipennis) during a polar vortex
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Mating patterns influence vulnerability to the extinction vortex
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Data from: 2D, 2Layer, interfacial waves due to one vortex pair
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Beyond the Karman Gait: Knifefish swimming in periodic and irregular vortex streets
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Dataset for "The Emergence of inertial waves from coherent vortex source in strongly coupled dusty plasma"
<p><strong>fig1.zip:</strong> This zip file contains three folders of data for \Gamma=9, 50, and 110 to plot fig.1.</p> <p>Each folder has two data files namely QUIVER_time_30 and QUIVER_time_60 correspond to time t=30 and 60, respectively. To plot vorticity, position and velocities along the x-axis, y-axis, and corresponding vorticity are required. In QUIVER_time_* files, the first five columns are x-position, y-position, velocity along the x-axis (v<sub>x</sub>), velocity along the y-axis (v<sub>y</sub>), and vorticity.</p> <p> </p> <p><strong>fig2.zip:</strong> fig2.zip folder has data file for time_1, time_5, time_8, time_10. Each time_* files contain five columns. They are as follows:</p> <p>Col-1: Serial number</p> <p>Col-2: x-position</p> <p>Col-3: y-position</p> <p>Col-4: velocity along the x-axis (v<sub>x</sub>)</p> <p>Col-5: velocity along the y-axis (v<sub>y</sub>)</p> <p>Plotting script is given insider the folder.</p> <p> </p> <p><strong>fig3.zip: </strong>fig3.zip folder has STATE file for various initial velocity U<sub>0</sub>. Each STATE_* files contain five columns. They are as follows:</p> <p> </p> <p>Col-1: Serial number</p> <p>Col-2: x-position</p> <p>Col-3: y-position</p> <p>Col-4: velocity along the x-axis (v<sub>x</sub>)</p> <p>Col-5: velocity along the y-axis (v<sub>y</sub>)</p> <p> </p> <p>Plotting script is given insider the folder.</p> <p> </p> <p><strong>fig4.zip: </strong>This zip file contains four folders of data for \kappa=0.5, 1.0, 2.0, and 5.0 to plot fig.4.</p> <p>Each folder has 151 data files, namely QUIVER_time_*, which corresponds to various times. To plot wave propagation, position, and velocities along the x-axis, the y-axis is required. In QUIVER_time_* files, the first five columns are x-position, y-position, velocity along the x-axis (v<sub>x</sub>), velocity along the y-axis (v<sub>y</sub>), and vorticity.</p> <p><strong>fig5.txt:</strong> Data file has various rows. They are as follows:</p> <p>Row-1: Various \kappa values</p> <p>Row-2: Longitudinal sound speed</p> <p>Row-3: Transverse sound speed</p> <p>Row-4: Various \kappa values to plot C<sub>NLW </sub>for various initial velocities vs \kappa values</p> <p>Row-5 to 11: Speed of nonlinear wave C<sub>NLW</sub> for various initial velocities U<sub>0</sub>=0.1, 0.35, 0.75, 1.5, 2.5, 3.5, 5.0.</p> <p> </p> <p><strong>fig6.txt:</strong> First and second rows correspond to Mach numbers and maximum amplitude of absolute value of nonlinear wave velocity along x-direction (v<sub>x</sub>), respectively.</p> <p> </p> <p> </p>
Optical topography of rough surfaces using vortex localization of fluorescent markers_experimental dataset
<p>This file contains the raw unprocessed experimental data for the results published in Petr Schovánek et al., Optical topography of rough surfaces using vortex localization of fluorescent markers, Optics Letters Vol. 45, Issue 16, pp. 4468-4471 (2020).</p>
Data from: The leading-edge vortex on a rotating wing changes markedly beyond a certain central body size
Stable attachment of a leading-edge vortex (LEV) plays a key role in generating the high lift on rotating wings with a central body. The central body-size can affect the LEV structure broadly in two ways. First, an overall change in the size changes the Reynolds number, which is known to have an influence on the LEV structure. Second, it may affect the Coriolis acceleration acting across the wing, depending on the wing-offset from the axis of rotation. To investigate this, the effects of Reynolds number and the wing-offset are independently studied for a rotating wing. The three-dimensional LEV structure is mapped using a scanning PIV technique. The rapid acquisition of images and their correlation are carefully validated. The results presented in this paper show that the LEV structure changes mainly with the Reynolds number. The LEV-split is found to be only minimally affected by changing the central body radius in the range of small offsets, which interestingly includes the range for most insects. However, beyond this small offset range, the LEV-split is found to change dramatically.
Vortex control in superconducting Corbino geometry networks
<p>Supplemental Material</p>
Anti-Poiseuille Flow: Increased Vortex Velocity at Superconductor Edges
<p>Supplemental Material</p>
Scaling the extinction vortex: Body size as a predictor of population dynamics close to extinction events
<ol> <li class="Body">Mutual reinforcement between abiotic and biotic factors can drive small populations into a catastrophic downward spiral to extinction – a process known as the 'extinction vortex.' However, empirical studies investigating extinction dynamics in relation to species' traits have been lacking.</li> <li class="Body">We assembled a database of 35 vertebrate populations monitored to extirpation over a period of at least ten years, represented by 32 different species, including 25 birds, five mammals and two reptiles. We supplemented these population time series with species-specific mean adult body size to investigate whether this key intrinsic trait affects the dynamics of populations declining towards extinction.</li> <li class="Body">We performed three analyses to quantify the effects of adult body size on three characteristics of population dynamics: time to extinction, population growth rate, and residual variability in population growth rate.</li> <li class="Body">Our results provide support for the existence of extinction vortex dynamics in extirpated populations. We show that populations typically decline non-linearly to extinction, while both the rate of population decline, and variability in population growth rate increase as extinction is approached. Our results also suggest that smaller-bodied species are particularly prone to the extinction vortex, with larger increases in rates of population decline and population growth rate variability when compared to larger-bodied species.</li> <li class="Body">Our results reaffirm and extend our understanding of extinction dynamics in real-life extirpated populations. In particular, we suggest that smaller-bodied species may be at greater risk of rapid collapse to extinction than larger-bodied species, and thus management of smaller-bodied species should focus on maintaining higher population abundances as a priority. </li> </ol>
Vortex
<p>Vortex during the Gega Megaflood</p>
Vortex during the Gega Megaflood
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Vortex - Temporary Percutaneous, Transvalvular Circulatory Support System Feasibility Study
ClinicalTrials.gov study NCT04674111. IPD Sharing: NO. Countries: 2. Publications: 0.
Data from: The leading-edge vortex on a rotating wing changes markedly beyond a certain central body size
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Allen Brain Atlas
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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.