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6 results for “Very Low Frequency Oscillations”
Data from: Low-frequency oscillations in the magnetic nozzle of a Helicon Plasma Thruster (10 sccm case)
<p>- Data from: Low-frequency oscillations in the magnetic nozzle of a Helicon Plasma Thruster (10 sccm case)</p> <p>- Authors: Davide Maddaloni, Borja Bayón-Buján, Jaume Navarro-Cavallé, Mario Merino, Filippo Terragni</p> <p>- Contact email: <a href="mailto:dmaddalo@ing.uc3m.es">dmaddalo@ing.uc3m.es</a></p> <p>- Date: 2024-09-13</p> <p>- Version: 1.0.0</p> <p>- License: This dataset is made available under the <a href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</a></p> <h2>Abstract</h2> <p>This dataset contains the raw experimental data employed in:</p> <p>Davide Maddaloni, Borja Bayón-Buján, Jaume Navarro-Cavallé, Mario Merino, Filippo Terragni, "Low-frequency oscillations in the magnetic nozzle of a Helicon Plasma Thruster", Plasma Sources Science and Technology, DOI: <a href="https://iopscience.iop.org/article/10.1088/1361-6595/adc40d/meta">10.1088/1361-6595/adc40d</a>.</p> <p>The data within this dataset collect only the 10 sccm case due to file size limits. A companion dataset is available at <a href="https://zenodo.org/records/13913729">10.5281/zenodo.13758358</a>, collecting the data for the 5 sccm case.</p> <h2>Dataset description</h2> <p>The experimental data is gathered by means of three distinct floating Langmuir Probes (LPs).</p> <p>The time-resolved data is provided separately for every spatial position inspected. The data is collected by means of an AC-coupled Yokogawa DLM5058 Mixed Signal Oscilloscope, resolving frequencies up to 50 MHz. The time-averaged I-V curve data obtained by sweeping the LPs is postprocessed according to the routine illustrated in <a href="https://arc.aiaa.org/doi/10.2514/1.B35531">Lobbia et al</a>.</p> <p>Please refer to the corresponding article for further details regarding the data collection (Section 3).</p> <h2>Data files</h2> <p>The data files are in standard Matlab .mat format. A recent version of <a href="https://www.mathworks.com/products/matlab.html">Matlab</a> is recommended.</p> <p>For the time-resolved results, data is subdivided according to the spatial position inspected and the xenon injected mass flow rate. The nomenclature of the files follows the structure "WaveData_[injected mass flow rate]_[axial position]_[angular position]". The file collects the raw waveform data file, labeled "WaveData", and the corresponding time array, labeled "t". For each saptial position within the plume, and for each probe, a total of 3 different waveforms were collected, and each waveform includes 50'000'000 points. The time array also contains 50'000'000 points and is the same for each waveform and/or probe. </p> <p>Each WaveData variable is structured in a 3-dimensional matrix, where:</p> <ul> <li>The first dimension represents the time evolution of the waveform (size 50'000'000)</li> <li>The second dimension represents a different waveform (size 3)</li> <li>The third dimension represents each a different probe (size 3) <ul> <li>Probe 1 along the first position</li> <li>Probe 2 along the second position</li> <li>Probe 3 along the third position</li> </ul> </li> </ul> <p>Please refer to the corresponding article for details regarding the probe labeling and their configuration (Section 3).</p> <p>The time-resolved data is provided in a structure array, containing several fields of two-dimensional matrices with dimensions 21x11 of relevant plasma parameters, as follows:</p> <ul> <li>n: plasma density (in m^-3)</li> <li>Vp: plasma potential (in V)</li> <li>Bx: component along X of the magnetic field (in T)</li> <li>By: component along Y of the magnetic field (in T)</li> <li>X: axial meshgrid coordinate (in mm)</li> <li>Y: radial meshgrid coordinate (in mm)</li> </ul> <p>The electron temperature is not included, since it is considered to be constant within the corresponding article. For the 10 sccm case, it corresponds to 7 eV.</p> <h2>Citation</h2> <p>Works using this dataset or any part of it in any form shall cite it as follows.</p> <p>The preferred means of citation is to reference the publication associated to this dataset, as soon as it is available.</p> <p>Optionally, the dataset may be cited directly by referencing the corresponding DOI: 10.5281/zenodo.13915163.</p> <h2>Acknowledgments</h2> <p>This work has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (project ERC-STG ZARATHUSTRA, grant agreement No 950466). Additionally, F. Terragni was also supported by the FEDER / Ministerio de Ciencia, Innovación y Universidades - Agencia Estatal de Investigación (grant agreement No PID2020-112796RB-C22), while B. Bayón-Buján enjoyed a grant from the Consejería de Educación, Universidades, Ciencia y Portavocía of the Community of Madrid (grant PEJ-2021-AI/TIC-23158).</p>
Data from: Low-frequency oscillations in the magnetic nozzle of a Helicon Plasma Thruster (5 sccm case)
<p>- Data from: Low-frequency oscillations in the magnetic nozzle of a Helicon Plasma Thruster (5 sccm case)</p> <p>- Authors: Davide Maddaloni, Borja Bayón-Buján, Jaume Navarro-Cavallé, Mario Merino, Filippo Terragni</p> <p>- Contact email: <a href="mailto:dmaddalo@ing.uc3m.es">dmaddalo@ing.uc3m.es</a></p> <p>- Date: 2024-09-13</p> <p>- Version: 1.1.0</p> <p>- License: This dataset is made available under the <a href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</a></p> <h2>Abstract</h2> <p>This dataset contains the raw experimental data employed in:</p> <p>Davide Maddaloni, Borja Bayón-Buján, Jaume Navarro-Cavallé, Mario Merino, Filippo Terragni, "Low-frequency oscillations in the magnetic nozzle of a Helicon Plasma Thruster", Plasma Sources Science and Technology, DOI: <a href="https://iopscience.iop.org/article/10.1088/1361-6595/adc40d/meta">10.1088/1361-6595/adc40d</a>.</p> <p>The data within this dataset collect only the 5 sccm case due to file size limits. A companion dataset is available at <a href="https://doi.org/10.5281/zenodo.13915163">10.5281/zenodo.13915162</a>, collecting the data for the 10 sccm case.</p> <h2>Dataset description</h2> <p>The experimental data is gathered by means of three distinct floating Langmuir Probes (LPs).</p> <p>The time-resolved data is provided separately for every spatial position inspected. The data is collected by means of an AC-coupled Yokogawa DLM5058 Mixed Signal Oscilloscope, resolving frequencies up to 50 MHz. The time-averaged I-V curve data obtained by sweeping the LPs is postprocessed according to the routine illustrated in <a href="https://arc.aiaa.org/doi/10.2514/1.B35531">Lobbia et al</a>.</p> <p>Please refer to the corresponding article for further details regarding the data collection (Section 3).</p> <h2>Data files</h2> <p>The data files are in standard Matlab .mat format. A recent version of <a href="https://www.mathworks.com/products/matlab.html">Matlab</a> is recommended.</p> <p>For the time-resolved results, data is subdivided according to the spatial position inspected and the xenon injected mass flow rate. The nomenclature of the files follows the structure "WaveData_[injected mass flow rate]_[axial position]_[angular position]". The file collects the raw waveform data file, labeled "WaveData", and the corresponding time array, labeled "t". For each saptial position within the plume, and for each probe, a total of 3 different waveforms were collected, and each waveform includes 50'000'000 points. The time array also contains 50'000'000 points and is the same for each waveform and/or probe. </p> <p>Each WaveData variable is structured in a 3-dimensional matrix, where:</p> <ul> <li>The first dimension represents the time evolution of the waveform (size 50'000'000)</li> <li>The second dimension represents a different waveform (size 3)</li> <li>The third dimension represents each a different probe (size 3) <ul> <li>Probe 1 along the first position</li> <li>Probe 2 along the second position</li> <li>Probe 3 along the third position</li> </ul> </li> </ul> <p>Please refer to the corresponding article for details regarding the probe labeling and their configuration (Section 3).</p> <p>The time-resolved data is provided in a structure array, containing several fields of two-dimensional matrices with dimensions 21x11 of relevant plasma parameters, as follows:</p> <ul> <li>n: plasma density (in m^-3)</li> <li>Vp: plasma potential (in V)</li> <li>Bx: component along X of the magnetic field (in T)</li> <li>By: component along Y of the magnetic field (in T)</li> <li>X: axial meshgrid coordinate (in mm)</li> <li>Y: radial meshgrid coordinate (in mm)</li> </ul> <p>The electron temperature is not included, since it is considered to be constant within the corresponding article. For the 5 sccm case, it corresponds to 12.5 eV.</p> <h2>Citation</h2> <p>Works using this dataset or any part of it in any form shall cite it as follows.</p> <p>The preferred means of citation is to reference the publication associated to this dataset, as soon as it is available.</p> <p>Optionally, the dataset may be cited directly by referencing the corresponding DOI: 10.5281/zenodo.13913729.</p> <h2>Acknowledgments</h2> <p>This work has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (project ERC-STG ZARATHUSTRA, grant agreement No 950466). Additionally, F. Terragni was also supported by the FEDER / Ministerio de Ciencia, Innovación y Universidades - Agencia Estatal de Investigación (grant agreement No PID2020-112796RB-C22), while B. Bayón-Buján enjoyed a grant from the Consejería de Educación, Universidades, Ciencia y Portavocía of the Community of Madrid (grant PEJ-2021-AI/TIC-23158).</p>
Low-frequency oscillations of blood flow velocity
<p>figS4a-d.h5 - Intensity profiles obtained by scanning along a line (described by the below attribute) placed along a FITCdextran stained vessel. Record features traces of individual red blood cells from which the blood flow velocity in figure S4 was obtained.<br> File contains single dataset:<br> 1 - Imaging data_200807_111309 -> voltage from PMT collecting FITCdextran fluorescence signal<br> The dataset features two attributes:<br> 1 - Display Time -> hologram dwell time in microseconds<br> 2 - Image Dimentions -> dimensions of the full resolution image used prior the line-scans has been selected <br> 3 - ROI_XY -> coordinates of individual pixels of the scanning trajectory</p> <p> </p>
Dataset accompanying publication: "Modulation of Cortical Oscillations by Low-Frequency Direct Cortical Stimulation is State-Dependent"
<p>Dataset accompanying publication:</p> <p>"Modulation of Cortical Oscillations by Low-Frequency Direct Cortical Stimulation is State-Dependent", Alagapan, Schmidt, Lefebvre, Hadar, Shin and Frohlich</p> <p>For questions, contact flavio_frohlich@med.unc.edu</p> <p>The mat file consists of the following Matlab variables</p> <ol> <li><strong>Electrode Distance</strong>: 3 x 1 cell array containing the arrays (trial x electrode) of distance from stimulating electrode to recording electrode for the three ECoG participants. (First array corresponds to P001, Second array corresponds to P005 and Third array corresponds to P008)</li> <li><strong>Spectra_Electrode_EC</strong>: 3 x 1 cell array consisting of nTrial x nFreq x nChannels x nEpochs matrices for each subject’s eyes-closed experiment. nTrial corresponds to number of trials, nFreq corresponds to frequencies at which spectral power is calculated, nChannels corresponds to number of electrodes in the analysis and nEpochs corresponds to “Before Stimulation”, “During Stimulation” and “After Stimulation” epochs.</li> <li><strong>Spectra_Electrode_EO</strong>: 3 x 1 cell array consisting of nTrial x nFreq x nChannels x nEpochs matrices for each subject’s eyes-open experiment. The dimensions are the same as above. The first array consists of task-engaged dataset from Participant P001.</li> <li><strong>MI_Summary</strong>: 8 x 1 cell array consisting of 3 x 1 cell arrays of modulation indexes for the three participants. The 8 arrays stand for the modulation indexes in different epochs and different frequencies. Refer <strong>MI_Summary_Names</strong></li> <li><strong>MI_Summary_Names</strong>: 8 x 1 cell array consisting of strings denoting the arrays in <strong>MI_Summary</strong>. <strong>During</strong> in text corresponds to “During Stimulation” epoch and <strong>After</strong> corresponds to “After Stimulation” epoch.</li> <li><strong>f</strong>: Frequencies at which spectral power was estimated.</li> <li><strong>NetworkModel</strong>: Matlab struct containing the time series generated by the network model and corresponding spectra. The <strong>timeseries</strong> consists of 4 columns – 1<sup>st</sup> column corresponds to time, 2<sup>nd</sup> column corresponds to task-engaged state data, 3<sup>rd</sup> column corresponds to eyes-open state data and 4<sup>th</sup> column corresponds to eyes-closed state data. The <strong>spectra </strong>struct consists of spectral powers estimated in the different epochs. 1<sup>st</sup> column of each epoch array corresponds to task-engaged state, 2<sup>nd</sup> column corresponds to eyes-open state and the 3<sup>rd</sup> column corresponds to eyes-closed state.</li> <li><strong>SummationModel</strong>: Matlab struct containing the time series generated by the summation model and the peak values in spectra before and during stimulation by varying the two strength parameters. The columns correspond to stimulation strength while rows correspond to oscillation strength. The oscillation strength parameter was varied from 0.5 to 50 in steps of 0.5 and the stimulation strength parameter was varied from 0.1 to 10 in steps of 0.1. </li> </ol> <p> </p>
Active Power Control from Wind Farms for Damping Very Low-Frequency Oscillations
<p>Dataset used for results in paper "Active Power Control from Wind Farms for Damping Very Low-Frequency Oscillations"</p>
Dataset accompanying publication: "Modulation of Cortical Oscillations by Low-Frequency Direct Cortical Stimulation is State-Dependent"
<p>The mat file consists of the following Matlab variables</p> <ol> <li><strong>Electrode Distance</strong>: 3 x 1 cell array containing the arrays (trial x electrode) of distance from stimulating electrode to recording electrode for the three ECoG participants. (First array corresponds to P001, Second array corresponds to P005 and Third array corresponds to P008)</li> <li><strong>Spectra_Electrode_EC</strong>: 3 x 1 cell array consisting of nTrial x nFreq x nChannels x nEpochs matrices for each subject’s eyes-closed experiment. nTrial corresponds to number of trials, nFreq corresponds to frequencies at which spectral power is calculated, nChannels corresponds to number of electrodes in the analysis and nEpochs corresponds to “Before Stimulation”, “During Stimulation” and “After Stimulation” epochs.</li> <li><strong>Spectra_Electrode_EO</strong>: 3 x 1 cell array consisting of nTrial x nFreq x nChannels x nEpochs matrices for each subject’s eyes-open experiment. The dimensions are the same as above. The first array consists of task-engaged dataset from Participant P001.</li> <li><strong>MI_Summary</strong>: 8 x 1 cell array consisting of 3 x 1 cell arrays of modulation indexes for the three participants. The 8 arrays stand for the modulation indexes in different epochs and different frequencies. Refer <strong>MI_Summary_Names</strong></li> <li><strong>MI_Summary_Names</strong>: 8 x 1 cell array consisting of strings denoting the arrays in <strong>MI_Summary</strong>. <strong>During</strong> in text corresponds to “During Stimulation” epoch and <strong>After</strong> corresponds to “After Stimulation” epoch.</li> <li><strong>f</strong>: Frequencies at which spectral power was estimated.</li> </ol>
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