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60 results for “propulsion”
Initial auralization of a distributed propulsion system equipped with 26 ducted low-speed fans
<p>Illustration of engine noise auralization by DLR Institute of Propulsion Technology obtained with the framework PropNoise, VIOLIN, CORAL. Data associated with the following publication: S. Schade, R. Merino-Martinez, P. Ratei, S. Bartels, R. Jaron and A. Moreau, "<a href="https://doi.org/10.2514/6.2024-3273"><em>Initial Study on the Impact of Speed Fluctuations on the Psychoacoustic Characteristics of a Distributed Propulsion System with Ducted Fans</em></a>", 30th AIAA/CEAS Aeroacoustics Conference, Rome, Italy, 04-07 June, 2024.</p> <p>Selected binaural audio files to illustrate the impact of rotational speed fluctuations on the noise characteristics of a distributed propulsion system equipped with 26 ducted, low-speed fans. Please note that the sound pressure amplitudes are normalized to 110dB for the reference turbofan case and to 90dB for the cases with distributed fans.</p> <p>The corresponding time signals and spectrograms are available in the associated conference paper in Figures 4-6.</p>
Data from: Fluid-kinetic model of a propulsive magnetic nozzle
<p># Data from: Fluid-kinetic model of a propulsive magnetic nozzle</p> <p> </p> <p>- Authors: Mario Merino, Judit Nuez, Eduardo Ahedo</p> <p>- Contact email: mario.merino@uc3m.es</p> <p>- Date: 2021-10-08</p> <p>- Keywords: magnetic nozzle, plasma propulsion, electrodeless plasma thrusters, kinetic model, collisionless electron cooling, magnetic thrust</p> <p>- Version: 1.0.0</p> <p>- Digital Object Identifier (DOI): 10.5281/zenodo.5557592</p> <p>- License: This dataset is made available under the [Open Data Commons Attribution License](http://opendatacommons.org/licenses/by/1.0/)</p> <p> </p> <p>## Abstract</p> <p> </p> <p>This dataset contains the magnetic nozzle fluid-kinetic simulation results used to prepare:</p> <p> </p> <p>_[Mario Merino, Judit Nuez, Eduardo Ahedo, "Fluid-kinetic model of a propulsive magnetic nozzle", Plasma Sources Science and Technology](https://doi.org/10.1088/1361-6595/ac2a0b)._</p> <p> </p> <p>## Dataset description</p> <p> </p> <p>The simulations have been prepared combining two open source codes:</p> <p>[Akiles](10.5281/zenodo.1098432) and [Fumagno](10.5281/zenodo.593787).</p> <p>The model and the simulation cases are explained in the accompanying paper (https://doi.org/10.1088/1361-6595/ac2a0b).</p> <p> </p> <p>## Data files</p> <p> </p> <p>The datafiles are in standard Matlab .mat format. A recent version of [Matlab](https://www.mathworks.com/products/matlab.html) (2018a or newer) is needed to read these files .</p> <p> </p> <p>Datafiles are subdivided into two groups (1D and 2D).</p> <p> </p> <p>In the 1D group, simulations for the first part of the paper are contained. These are simulations along a single (1D) magnetic line. There are 7 files:</p> <p>1. line_J0.mat</p> <p>2. line_phiinfty5.mat</p> <p>3. line_phiinfty6.mat</p> <p>4. line_phiinfty7.mat</p> <p>5. line_phiinfty8.mat</p> <p>6. line_phiinfty9.mat</p> <p>7. line_phiinfty10.mat </p> <p>Each of these files has an identical structure, with the following Matlab variables in them. All variables are normalized as explained in the paper:</p> <p>* h: a vector containing the value of B (magnetic field strength) at each point in the magnetic line</p> <p>* phi: a vector containing the value of phi (electric potential) at each point in the magnetic line</p> <p>* electrons: a structure with all the moments and all the properties of the electrons</p> <p>* ions: a structure with all the moments and all the properties of the ions</p> <p> </p> <p>In the 2D group, simulations for the second part of the paper are contained. These are 2D simulations. A total of 5 files exist, corresponding to each simulation case in the paper:</p> <p>1. F.mat</p> <p>2. PHID.mat</p> <p>3. PHII.mat</p> <p>4. TD.mat</p> <p>5. TI.mat</p> <p>Each of these files has an identical structure, with the following Matlab variables in them. All variables are normalized as explained in the paper:</p> <p>* Z,R: position of points</p> <p>* B,ALPHA,KAPPA: magnetic field strength, angle, and curvature. B_B0 is B normalized with the upstream value on each line.</p> <p>* PHI, EZ, ER: electric potential and field components</p> <p>* J, J0: current density, and the integral current in the magnetic nozzle</p> <p>* N, N1, N2, N4: density of the full electron population and subpopulations 1 (free), 2 (reflected), 4 (doubly-trapped)</p> <p>* TE, TE1, TE2, TE4: average temperature of the full electron population and subpopulations 1 (free), 2 (reflected), 4 (doubly-trapped)</p> <p>* TPARE, TPARE1, TPARE2, TPARE4: parallel temperature of the full electron population and subpopulations 1 (free), 2 (reflected), 4 (doubly-trapped)</p> <p>* TPERE, TPERE1, TPERE2, TPERE4: perpendicular temperature of the full electron population and subpopulations 1 (free), 2 (reflected), 4 (doubly-trapped)</p> <p>* UE, UE1, UI: velocity of electrons, free electrons, ions</p> <p> </p> <p>## Citation</p> <p> </p> <p>Works using this dataset or any part of it in any form shall cite it as follows.</p> <p> </p> <p>The preferred means of citation is to reference the publication associated to this dataset, of DOI 10.1088/1361-6595/ac2a0b.</p> <p> </p> <p>Optionally, the dataset may be cited directly by referencing the DOI: 10.5281/zenodo.5557592.</p> <p> </p> <p>## Acknowledgments</p> <p> </p> <p>This dataset was created by the [ERC-ZARATHUSTRA project](https://erc-zarathustra.uc3m.es/).</p> <p> </p> <p>The ERC-ZARATHUSTRA project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 950466). </p>
Data from: Body shape and mode of propulsion do not constrain routine swimming in coral reef fishes
Open the record for dataset details and reuse information.
Robot-aided Training of Propulsion During Walking: Effects of Torque Pulses Applied to the Hip and Knee Joints During Stance
<p>Dataset linked with the manuscript "Robot-aided Training of Propulsion During Walking: Effects of Torque Pulses Applied to the Hip and Knee Joints During Stance". Please see attached readme document for details</p>
Butterflies fly using efficient propulsive clap mechanism owing to flexible wings
<p class="Teaser">Butterflies look like no other flying animal, with unusually short, broad and large wings relative to their body size. <span>Previous studies have suggested butterflies use several unsteady aerodynamic mechanisms</span> <span>to </span>boost force <span>produc</span>tion with <span>upstroke wing</span> <span>clap </span>being a prominent feature<span>.</span> When the wings clap together at the end of upstroke the air between the wings is pressed out, creating a jet, pushing the animal in the opposite direction. <span>Although </span>viewed, for the last 50 years, <span>as a </span>crucial <span>mechanism</span> in insect flight<span>, quantitative </span>aerodynamic <span>measurements of the clap in freely flying animals are lacking</span>. Using quantitative flow measurements behind freely flying butterflies during take-off and a mechanical clapper, we provide aerodynamic performance estimates for the wing clap. We show that flexible butterfly wings, forming a cupped shape during the upstroke and clap, thrust the butterfly forwards, while the downstroke is used for weight support. We further show that flexible wings dramatically increase the useful impulse (+22%) and efficiency (+28%) of the clap compared to rigid wings. Combined, our results suggest butterflies evolved a highly effective clap, which provides a mechanistic hypothesis for their unique wing morphology. Furthermore, our findings could aid the design of manmade flapping drones, boosting propulsive performance.</p>
Data for Improving propulsive efficiency using bio-inspired intermittent locomotion
<p>Raw and processed data for the manuscript: Improving propulsive efficiency using bio-inspired intermittent locomotion</p> <p>Contains both static and free propulsion measurements</p>
Data from: Data-driven analysis of oscillations in Hall thruster simulations & Data-driven sparse modeling of oscillations in plasma space propulsion
<p>Data from: Data-driven analysis of oscillations in Hall thruster simulations</p> <p> </p> <p>- Authors: Davide Maddaloni, Adrián Domínguez Vázquez, Filippo Terragni, Mario Merino</p> <p>- Contact email: <a href="mailto:dmaddalo@ing.uc3m.es">dmaddalo@ing.uc3m.es</a></p> <p>- Date: 2022-03-24</p> <p>- Keywords: higher order dynamic mode decomposition, hall effect thruster, breathing mode, ion transit time, data-driven analysis</p> <p>- Version: 1.0.4</p> <p>- Digital Object Identifier (DOI): <a href="https://doi.org/10.5281/zenodo.6359505">10.5281/zenodo.6359505</a></p> <p>- License: This dataset is made available under the <a href="http://opendatacommons.org/licenses/by/1.0/">Open Data Commons Attribution License</a></p> <p> </p> <p>Abstract</p> <p> </p> <p>This dataset contains the outputs of the HODMD algorithm and the original simulations used in the journal publication:</p> <p>Davide Maddaloni, Adrián Domínguez Vázquez, Filippo Terragni, Mario Merino, "Data-driven analysis of oscillations in Hall thruster simulations", 2022 <em>Plasma Sources Sci. Technol.</em> 31:045026. Doi: <a href="https://iopscience.iop.org/article/10.1088/1361-6595/ac6444">10.1088/1361-6595/ac6444</a>.</p> <p>Additionally, the raw simulation data is also employed in the following journal publication:</p> <p>Borja Bayón-Buján and Mario Merino, "Data-driven sparse modeling of oscillations in plasma space propulsion", 2024 <em>Mach. Learn.: Sci. Technol.</em> 5:035057. Doi:<a href="https://iopscience.iop.org/article/10.1088/2632-2153/ad6d29"> 10.1088/2632-2153/ad6d29</a></p> <p> </p> <p>Dataset description</p> <p> </p> <p>The simulations from which data stems have been produced using the full 2D hybrid PIC/fluid code <a href="https://ep2.uc3m.es/assets/docs/pubs/conference_proceedings/domi19b.pdf">HYPHEN</a>, while the HODMD results have been produced using an adaptation of the original <a href="https://doi.org/10.1137/15M1054924">HODMD algorithm</a> with an improved <a href="https://doi.org/10.1063/1.4863670">amplitude calculation routine</a>.</p> <p>Please refer to the relative article for further details regarding any of the parameters and/or configurations.</p> <p> </p> <p>Data files</p> <p> </p> <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>The HODMD outputs are collected within 18 different files, subdivided into three groups, each one referring to a different case. For the file names, "case1" refers to the nominal case, "case2" refers to the low voltage case and "case3" refers to the high mass flow rate case. Following, the variables are referred as:</p> <ul> <li>"n" for plasma density</li> <li>"Te" for electron temperature</li> <li>"phi" for plasma potential</li> <li>"ji" for ion current density (both single and double charged ones)</li> <li>"nn" for neutral density</li> <li>"Ez" for axial electric field</li> <li>"Si" for ionization production term</li> <li>"vi1" for single charged ions axial velocity</li> </ul> <p>In particular, axial electric field, ionization production term and single charged ions axial velocity are available only for the first case. Such files have a cell structure: the first row contains the frequencies (in Hz), the second row contains the normalized modes (alongside their complex conjugates), the third row collects the growth rates (in 1/s) while the amplitudes (dimensionalized) are collected within the last row. Additionally, the time vector is simply given as "t", common to all cases and all variables.</p> <p>The raw simulation data are collected within additional 15 variables, following the same nomenclature as above, with the addition of the suffix "_raw" to differentiate them from the HODMD outputs.</p> <p> </p> <p>Citation</p> <p> </p> <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 DOI: 10.5281/zenodo.6359505.</p> <p> </p> <p>Acknowledgments</p> <p> </p> <p>This work has been supported by the Madrid Government (Comunidad de Madrid) under the Multiannual Agreement with UC3M in the line of ‘Fostering Young Doctors Research’ (MARETERRA-CM-UC3M), and in the context of the V PRICIT (Regional Programme of Research and Technological Innovation). F. Terragni was also supported by the Fondo Europeo de Desarrollo Regional, Ministerio de Ciencia, Innovación y Universidades - Agencia Estatal de Investigación, under grants MTM2017-84446-C2-2-R and PID2020-112796RB-C22.</p>
Effects of an Overground Propulsion Neuroprosthesis in Community-dwelling Individuals After Stroke
ClinicalTrials.gov study NCT06459401. IPD Sharing: NO. Countries: 1. Publications: 11.
Safety and Effectiveness of the Ultrasonic Propulsion of Kidney Stones
ClinicalTrials.gov study NCT02028559. IPD Sharing: NO. Countries: 1. Publications: 5.
PROPULSION SANTE: Inflammometry to Improve the Diagnostic Trajectory in Situations of Suspected Asthma in Children and Adults
ClinicalTrials.gov study NCT06981169. IPD Sharing: YES. Countries: 1. Publications: 1.
Butterflies fly using efficient propulsive clap mechanism owing to flexible wings
Open the record for dataset details and reuse information.
Data for "Edible Aquatic Robots with Marangoni Propulsion"
<p>This dataset contains all the data and CAD models needed to replicate the study presented in "<span>Edible Aquatic Robots with Marangoni Propulsion</span>".</p>
On the shape-dependent propulsion of nano- and microparticles by traveling ultrasound waves
<p>Supplementary data for the following manuscript: Johannes Voß, Raphael Wittkowski, "On the shape-dependent propulsion of nano- and microparticles by traveling ultrasound waves ", <em><strong>Nanoscale Adv.</strong></em>, 2020,<strong>2</strong>, 3890-3899, doi=10.1039/D0NA00099J</p>
Acoustic propulsion of nano- and microcones: dependence on particle size, acoustic energy density, and sound frequency
<p>Supplementary data for the following manuscript: Johannes Voß, Raphael Wittkowski, "Acoustic propulsion of nano- and microcones: dependence on particle size, acoustic energy density, and sound frequency".</p>
Propulsion of nano- and microcones by a traveling ultrasound wave: dependence on orientation and aspect ratio of the particles
<p>Supplementary data for the following manuscript: Johannes Voß, Raphael Wittkowski, "Propulsion of nano- and microcones by a traveling ultrasound wave: dependence on orientation and aspect ratio of the particles"</p>
Acoustic propulsion of nano- and microcones: dependence on the viscosity of the surrounding fluid
<p>Supplementary data for the following manuscript: Johannes Voß, Raphael Wittkowski, "Acoustic propulsion of nano- and microcones: dependence on the viscosity of the surrounding fluid".</p>
Propulsion of bullet- and cup-shaped nano- and microparticles by traveling ultrasound waves
<p>Supplementary data for the following manuscript: Johannes Voß, Raphael Wittkowski, "Propulsion of bullet- and cup-shaped nano- and microparticles by traveling ultrasound waves".</p>
Raw and preprocessed data on the explosions of crankcases in marine main propulsion engines (1972-2018)
<table> <tbody> <tr> <td>Document title:</td> <td>Raw and preprocessed data on the explosions of crankcases in marine main propulsion engines (1972-2018)</td> </tr> <tr> <td>Author:</td> <td>Leszek Chybowski</td> </tr> <tr> <td>e-mail:</td> <td><a href="mailto:l.chybowski@am.szczecin.pl">l.chybowski@am.szczecin.pl</a></td> </tr> <tr> <td> </td> <td> </td> </tr> <tr> <td>Affiliation: </td> <td>Maritime University of Szczecin, Szczecin, Poland</td> </tr> <tr> <td>City:</td> <td>Szczecin, Poland</td> </tr> <tr> <td>Year:</td> <td>2022</td> </tr> <tr> <td> </td> <td> </td> </tr> <tr> <td>Grant:</td> <td>The research was prepared under Grant 1/S/KPBMIM/22 financed by the Ministry of Science and Higher Education of Poland.</td> </tr> <tr> <td> </td> <td> </td> </tr> <tr> <td>Licence:</td> <td>CC BY-NC 2.0</td> </tr> </tbody> </table>
Quasi-2D Finite Volume Modeling of Corona Discharges for Ionic Propulsion: Comparison of Reduced Reaction Schemes
<p>This work investigated the effects of different kinetic models on the results of corona discharge simulations of a wire-cylinder geometry. The considered dry air kinetic models are: a 6-species model from Parent et al. (<a title="https://doi.org/10.1016/j.jcp.2013.11.029" href="https://doi.org/10.1016/j.jcp.2013.11.029" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.jcp.2013.11.029</a>), a Townsend-like model (<a title="http://dx.doi.org/10.1088/0022-3727/30/4/017" href="http://dx.doi.org/10.1088/0022-3727/30/4/017" target="_blank" rel="noreferrer noopener">http://dx.doi.org/10.1088/0022-3727/30/4/017</a>) and the simple model proposed by Mateo-Velez et al. (<a title="http://dx.doi.org/10.1088/0022-3727/41/3/035205" href="http://dx.doi.org/10.1088/0022-3727/41/3/035205" target="_blank" rel="noreferrer noopener">http://dx.doi.org/10.1088/0022-3727/41/3/035205</a>).</p>
Generation of Propulsive Force via Vertical Undulations in Snakes
<p>Lateral undulation is the most widespread mode of terrestrial vertebrate limbless locomotion, in which posteriorly propagating horizontal waves press against environmental asperities (e.g. grass, rocks) and generate propulsive reaction forces. We hypothesized that snakes can generate propulsion using a similar mechanism of posteriorly propagating vertical waves pressing against suitably oriented environmental asperities. Using an array of horizontally oriented cylinders, one of which was equipped with force sensors, and a motion capture system, we found snakes generated substantial propulsive force and propulsive impulse with minimal contribution from lateral undulation. Additional tests showed that snakes could propel themselves via vertical undulations from a single suitable contact point, and this mechanism was replicated in a robotic model. Vertical undulations can provide snakes a valuable locomotor tool for taking advantage of vertical asperities in a variety of habitats, potentially in combination with lateral undulation, to fully exploit the 3D structure of the habitat.</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
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.