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218 results for “Bubble”
Cavitation Bubble Data (Parabolic Flights, 2010)
<p>This dataset contains high-speed videos, time-resolved pressure measurements and auxiliary data of 247 isolated single cavitation bubbles produced in variable gravity (0g, 1g, 1.6-2g) aboard the Airbus 300 zero-g on the 53rd ESA parabolic flight campaign in October 2010. The five files contain 247 subdirectories, each of which holds the available data of exactly one cavitation bubble. The experimental setup and data structure are explained in a peer-reviewed publication in Experiments In Fluids (2013, 54:1503, DOI 10.1007/s00348-013-1503-9), titled "The quest for the most spherical bubble: experimental setup and data overview". Most of the data shown in that paper relied on these 247 cavitation bubbles, but many more cavitation bubbles have been recorded using additional sensors (e.g. spectrometer) in later experiments on parabolic flights.</p>
Experimental Investigation of the Heat Transfer between Finned Tubes and a Bubbling Fluidized Bed with Horizontal Sand Mass Flow
<p>Data repository for the paper:</p> <p>Thanheiser, S.; Haider, M.; Schwarzmayr, P. Experimental Investigation of the Heat Transfer between Finned Tubes and a Bubbling Fluidized Bed with Horizontal Sand Mass Flow. Energies 2022, 15, 1316. https://doi.org/10.3390/en15041316</p>
Dynamics of an interfacial bubble controls adhesion mechanics in a van der Waals heterostructure
<p>These are the COMSOL Multiphysics for our FEM calculations of frequency dispersion with gate voltage (<span class="math-tex">\(V_g^{dc}\)</span>) and stress at different values of <span class="math-tex">\(V_g^{dc}\)</span> for different conditions of graphene-hBN heterostructure interface. For the bubble growth rate equation, we considered linear gate-voltage dependence. Bubble growth will be restricted as the bubble diameter reaches the diameter of the drum. So the growth is conditional, it increases as the gate voltage increases with a constant slope till its radius reaches the drum radius (<span class="math-tex">\(R_f \)</span>); its governing equation is <span class="math-tex">\(R_{\textrm{bub}}(V_g^{\textrm{dc}})=R_i+mV_g^{\textrm{dc}} for R_{bub}\leq R_f\)</span> . Bubble growth stops at <span class="math-tex">\(R_{bub} ≈ R_f \)</span>, where <span class="math-tex">\(R_i \)</span>, <span class="math-tex">\(R_f \)</span>are the initial and final radii of the bubble and m is the increase in bubble radius per unit change in gate voltage (<span class="math-tex">\(µm/V\)</span>).</p>
Experimental results for Dynamics of an interfacial bubble controls adhesion mechanics in a van der Waals heterostructure
<p>These are the COMSOL Multiphysics file used for our FEM calculations of frequency dispersion with gate voltage (<span class="math-tex">\(V_g^{dc}\)</span>) and stress at different values of <span class="math-tex">\(V_g^{dc}\)</span> for different conditions of graphene-hBN heterostructure interface. For the bubble growth rate equation, we considered linear gate-voltage dependence. Bubble growth will be restricted as the bubble diameter reaches the diameter of the drum. So the growth is conditional, it increases as the gate voltage increases with a constant slope till its radius reaches the drum radius (<span class="math-tex">\(R_f \)</span>); its governing equation is <span class="math-tex">\(R_{\textrm{bub}}(V_g^{\textrm{dc}})=R_i+mV_g^{\textrm{dc}} for R_{bub}\leq R_f\)</span> . Bubble growth stops at <span class="math-tex">\(R_{bub} ≈ R_f \)</span>, where <span class="math-tex">\(R_i \)</span>, <span class="math-tex">\(R_f \)</span>are the initial and final radii of the bubble and m is the increase in bubble radius per unit change in gate voltage (<span class="math-tex">\(µm/V\)</span>).</p>
NUMERICAL ANALYSIS OF FLOW STRUCTURE AND HEAT TRANSFER IN BUBBLING FLUIDIZED BEDS
<p>The videos show the movements of selected particles in different geometries of fluidized bed heat exchangers. Two geometries without auxiliary measures and one with air cushion technology are shown.</p>
Successive Westward Traveling Surges Driven by Sequential Plasma-Sheet Bubble Injections
<p>The text files are RCM simulation output. The file names specify simulation time (format: hhmmss). The stored quantities are, "I","J","COLAT","ALOCT","MLT","BNDLOC","XMIN","YMIN","FTV","BMIN (northward component of magnetic field)","V (electric potential)", "BIRK_fromV(NH) (Field-aligned current)","BIRK(NH)","P(RCM),nPa", "PV_gamma (entropy)","Vtotx (the total plasma velocity included ExB drift and gradient-curvature drift)", "Vtoty","Vx_exb (ExB drift due to the electric potential)","Vy_exb","vel_x (ExB drift due to induction electric field)","vel_y","Ey","PEDLAM", "PEDPSI", "HALL", "RCM_T_p (proton temperature)","RCM_T_e (electron temperature)","RCM_N_e (electron number density)","EFLUX","EAVG","f_i_50-75","f_i_75-113","f_i_113-170","f_i_170-250","f_i_250-400","f_e_50-75","f_e_75-105","f_e_105-150","f_e_150-225","f_e_225-315","f_e_315-500","Vm"</p>
ScintiPi3 data sets for "First observations of severe scintillation over low-to-mid latitudes driven by quiet-time extreme equatorial plasma bubbles: conjugate measurements enabled by citizen science initiatives"
<p>ScintPi 3.0 data sets for "First observations of severe scintillation over low-to-mid latitudes driven by quiet-time extreme equatorial plasma bubbles: conjugate measurements enabled by citizen science initiatives" by Sousasantos et al. (2024).</p>
Data from: Humpback whales blow bubble rings
<p>Among mysticetes, humpback whales (<em>Megaptera novaeangliae)</em> make extensive use of bubbles (bursts, trails, curtains) for display by combative breeding males and to create barrier traps (nets, clouds) when hunting schooling prey. Here we describe another genre of air release, the bubble ring, a donut-shaped, poloidally spinning, air-infused, vortex (analogous to a "smoke ring"). Bubble rings are well described among aquaria housed dolphins, but scantily reported among the mysticetes. We reviewed bubble ring production in eleven individuals that were documented by naturalists, citizen scientists and researchers on both the feeding and breeding grounds across three oceans. Rings were discharged at a relatively shallow depth within the topmost atmosphere by stationary individuals. All rings propagated vertically with the largest estimated between two and three meters in diameter upon its arrival at the surface. In cases where observable, humpback bubble rings were produced from one nostril, indicating considerable blowhole dexterity. The context of ring production is bubble ringdescribed for each episode, including the orientation and distance to the closest object in the water (boat, swimmer or another whale). We consider a variety of possible functions from which foraging (n=2) and inquisitive/friendly behavior (n=10) appeared the most plausible.</p>
Occurrence of equatorial plasma bubbles (EPBs) over the Indian region on 15 January 2022 and their plausible connection to the Tonga volcano eruption
<p><span>This study focuses on the causes for the generation of equatorial plasma bubbles (EPBs) over the Indian subcontinent and their correlation with atmospheric-ionospheric disturbances resulting from the eruption of the Tonga volcano on 15 January 2022. Concurrent ionosonde observations obtained from Tirunelveli (8.67<sup>o</sup>N, 77.81<sup>o</sup>E) and Prayagraj (25.41<sup>o</sup>N, 81.93<sup>o</sup>E) show the presence of spread-F traces in ionograms. Notably, the EPBs are also accompanied by plasma blobs (PBs), with their pronounced occurrence during midnight at Prayagraj and Tirunelveli. Analysis of in situ electron density observations obtained from the Swarm B and C satellites reveals substantial plasma density depletions associated with EPBs. An intriguing observation is the intensification of Pre-Reversal Enhancement (PRE) immediately preceding the onset of spread-F at Tirunelveli due to enhanced eastward F region zonal winds by Tonga Volcano, as seen in the satellite observations. Furthermore, the isofrequency analysis from Tirunelveli shows the presence of gravity wave-like oscillations in the equatorial F-region over India. The investigation of Total Electron Content (TEC) obtained from a Pseudo Random Number (PRN)-14 over Indian longitudes suggests the presence of two dominant modes of Traveling Ionospheric Disturbances (TIDs) with speeds ~452 m/s and ~406 m/s having periods in the range of ~65–75 minutes. These observations reaffirm that volcano triggered atmospheric/ionospheric disturbances can propagate long</span><span> distances for several hours</span><span> and can provide necessary seeding conditions for the generation of EPBs.</span></p>
Bubble and ppt data set at CIEM large scale wave flume
<p>The present work was developed in work of an internal UPC project. The experiments were carried out in the large scale wave flume CIEM at Universitat Politècnica de Catalunya (UPC), Barcelona.</p> <p>The data set aims to evaluate the false reading of Optical Backscatter Sensors produced by air bubbles at breaking conditions. In order to do that a set of different wave conditions (wave height ranging from 0.2 up to 0.85 and period from 2 to 7 s) have been tested at two different Still water conditions (2.5 and 2.65) with a barred profile in the wave flume.</p> <p>Due to its size, the data set can not be placed on this repository and will be provided on demand. Please contact with the authors or with the data manager of the CIEM installation.</p>
Supplementary data for: Do Images of Biskyrmions Show Type-II Bubbles?
<p>This repository contains the micromagnetic simulation scripts for the publication <strong>Do Images of Biskyrmions Show Type-II Bubbles?</strong> by <em>J. C. Loudon, A. C. Harrison, D. Cortes-Ortuno, M. T. Birch, L. A. Turnbull, A. Stefancic, F. Ogrin, E. Burgos-Parra, A. Campbell, H. Popescu, M. Beg, O. Hovorka, H. Fangohr, P. A. Midgley, G. Balakrishnan and P. D. Hatton</em></p> <p>Simulations are based on the OOMMF code [1] and its Jupyter interface JOOMMF [2]</p> <p> </p> <p>An updated version of this repository can be found here:</p> <p> </p> <p>https://github.com/davidcortesortuno/paper_biskyrmions_bubbles</p> <p> </p> <p> </p> <p>[1] M. J. Donahue and D. G. Porter, <em>OOMMF Users Guide, Version 1.0</em>, Tech. Rep. (National Institute of Standards and Technology, Gaithersburg, MD, 1999).</p> <p>[2] M. Beg, R. A. Pepper, and H. Fangohr, <em>User interfaces for computational science: A domain specific language for OOMMF embedded in python</em>. AIP Advances 7, 056025 (2017), <a href="https://doi.org/10.1063/1.4977225">https://doi.org/10.1063/1.4977225</a>.</p>
A Magnetospheric Driver of Westward Traveling Surge: Plasma-Sheet Bubble
<p>The text files are RCM-I simulation output. The file names specify simulation time (format: hhmmss). The stored quantities are, "I","J","COLAT","ALOCT","MLT","BNDLOC","XMIN","YMIN","FTV","BMIN (northward component of magnetic field)","V (electric potential)", "BIRK_fromV(NH) (Field-aligned current)","P(RCM),nPa", "PV_gamma (entropy)","Vtotx (the total plasma velocity included ExB drift and gradient-curvature drift)", "Vtoty","Vx_exb (ExB drift due to the electric potential)","Vy_exb","vel_x (ExB drift due to induction electric field)","vel_y","Ey","PEDLAM", "PEDPSI", "HALL", "RCM_T_p (proton temperature)","RCM_T_e (electron temperature)","RCM_N_e (electron number density)","EFLUX","EAVG","f_i_5-15","f_i_15-25","f_i_113-170","f_i_170-250","f_i_250-400","f_e_5-15","f_e_15-25","f_e_105-150","f_e_150-225","f_e_225-315","f_e_315-500","Vm"</p>
A semi-empirical model of radiolytic gas bubble formation and evolution during criticality excursions in uranyl nitrate solutions for nuclear criticality safety assessment
<p>Raw data used to construct the figures found in the journal paper "A semi-empirical model of radiolytic gas bubble formation and evolution during criticality excursions in uranyl nitrate solutions for nuclear criticality safety assessment".</p>
Dataset for 'Effects of bubble plumes on lake dynamics, near-bottom turbulence, and transfer of dissolved oxygen at the sediment-water interface'
<p>The dataset associated with the article "Effects of bubble plumes on lake dynamics, near-bottom turbulence, and transfer of dissolved oxygen at the sediment-water interface". </p>
Collapse of false vacuum bubbles with trapped particles - simulation data
<p>This repository contains data of simulations for looking into false vacuum bubble collapses. In this scenario we assume feebly interacting particles which get trapped inside the false vacuum bubbles.</p>
Energetic Particle Injection during Short Isolated Bubble as seen in RCM Simulation and Spacecraft Observations in the Flow Braking Region
<p>The names of the RCM simulation output files specify the simulation time in a format of "hhmmss". The stored quantities are, "I","J","COLAT","ALOCT","MLT","BNDLOC","XMIN","YMIN","FTV","BMIN","V", "BIRK_fromV(NH)","P(RCM),nPa", "PV_gamma","Vtotx", "Vtoty","Vx_exb","Vy_exb","vel_x","vel_y","Ey","PEDLAM", "PEDPSI", "HALL", "RCM_T_p","RCM_T_e","RCM_N_e","EFLUX","EAVG","f_i_50-75","f_i_75-125","f_i_125-200","f_i_200-300","f_e_50-75","f_e_75-125","f_e_125-200","f_e_200-300","Vm","dbxdz","dbydz","dbrdz","dbzdx","dbzdy".<br> For the first hour of substorm-growth-phase-like quasi-steady convection, we uploaded the RCM simulation output files at 1-minute intervals. Then, the RCM output files were uploaded at 20-second intervals for the next 7 minutes of bubble injection, and at 1-minute intervals for the rest of the simulation.</p>
Dataset - Information Bubble and Learning in the Digital Age
<p>This dataset was utilized in the analyses presented in the paper entitled "Information Bubble and Learning in the Digital Age: An Analysis from the Perspective of European and African Students." Details regarding the dataset can be found in the Methodology section of the paper.</p>
Raw data for manuscript: Use of immunology in news and YouTube videos in the context of COVID-19: politicization and information bubbles
<p>Coding of newsarticles and videos related to immunology and COVID-19 in Italian and English</p>
Magnetic storm effects on the occurrence and characteristics of plasma bubbles
<p>This supporting information provides two datasets that contain information about all the storms that occurred from 2008 to 2014, as well as storms with available PRE (Pre-Reversal Enhancement) and plasma bubble occurrence data during those years. The datasets include the start and end times of the initial, main, and recovery phases (both first and second half) of the detected storms. Additionally, the datasets contain the minimum and maximum SYM-H index attained during each storm, the intensity of the storms classified as follows: (1) Intense (SYM-H<sub>min</sub> < -100 nT), (2) Moderate (-100 ≤ SYM-H<sub>min </sub>< -50 nT), and (3) Weak (-50 ≤ SYM-H<sub>min</sub> < -30 nT), and the overall duration of the storm, among other relevant parameters.This supporting information provides two datasets that contain information about all the storms that occurred from 2008 to 2014, as well as storms with available PRE (Pre-Reversal Enhancement) and plasma bubble occurrence data during those years. The datasets include the start and end times of the initial, main, and recovery phases (both first and second half) of the detected storms. Additionally, the datasets contain the minimum and maximum SYM-H index attained during each storm, the intensity of the storms classified as follows: (1) Intense (SYM-H<sub>min</sub> < -100 nT), (2) Moderate (-100 ≤ SYM-H<sub>min </sub>< -50 nT), and (3) Weak (-50 ≤ SYM-H<sub>min</sub> < -30 nT), and the overall duration of the storm, among other relevant parameters.</p>
RoBotic TCD Ultrasound BubbLe Study Compared to Transthoracic Echocardiography for Detection of Right to Left Shunt
ClinicalTrials.gov study NCT04604015. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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