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Dataset results
29 results for “plasma bubble”
Numerical simulation of the equatorial plasma bubble: the effect of seeding by the vertical winds and random background noise perturbations.
<p>A wide variety of small-amplitude waves widely exist in the ionosphere and have significant effects on the evolution of equatorial plasma bubbles. In this paper, we simulated equatorial plasma bubbles (EPB) seeded by vertical neutral wind perturbations with wavelengths of 125 km and 250 km, and compared the morphology characteristics of plasma bubble structures with those under random noise perturbations in the background density. The numerical results showed that both vertical winds and random background noise perturbations can contribute to the growth of plasma bubbles, and the perturbations under additional random background noise can promote the growth of the plasma bubble structures faster. Additionally, several processes of the nonlinear behavior of bifurcated EPB structures, including bifurcation, pinching, and small-scale turbulent structures, were successfully obtained. Our simulation captured supersonic flows within the low-density plasma structures characterized by vertical velocities of about 1.5 km/s, which is consistent with experimental studies found in the literature.</p>
Simulation data used for publication "Seeding of equatorial plasma bubbles by vertical neutral wind" by Yokoyama et al.
<p>The dataset includes two-dimensional simulation output used in the paper.</p> <p>"altitude.dat" and "zonal.dat" contains grid information.</p> <p>"read_n_phi_2D.pro" is an IDL file to read the dataset, with detailed description of each data.</p> <p>The original three-dimensional simulation output is too large to publish at the repository. Author (TY) is willing to share the original data.</p>
On the Role of Physical Processes in Controlling Equatorial Plasma Bubble Morphology
<p>Dataset for the paper entitled "On the Role of Physical Processes in Controlling Equatorial Plasma Bubble Morphology" submitted to the Journal of Geophysical Research: Space Physics.</p>
The contribution of plasma sheet bubbles to stormtime ring current buildup and evolution of the energy composition
<p>Supporting information for "The contribution of plasma sheet bubbles to stormtime ring current buildup and evolution of the energy composition" by Sciola et al. 2023 submitted to the Journal of Geophysical Research: Space Physics</p>
Data for "A possible explanation of interhemispheric asymmetry of Equatorial Plasma Bubbles in airglow images"
<p>This is the data used in the paper "A possible explanation of interhemispheric asymmetry of Equatorial Plasma Bubbles in airglow images" by Hickey et al. (2020). Ionograms from Hyderabad and Tirunelveli are provided as PDFs. 7 MHz reflection heights from both ionosondes are provide in tab delimeted text file. A raw all-sky image is provided as a .tif file. Unwrapped all-sky images are provided as .tif files at 250, 275, and 300 km emission altitudes. The raw and unwrapped data for these images are provide in .dat files.</p>
Why do equatorial plasma bubbles bifurcate?
<p>For whom it may concern:<br> The files are the numerical results obtained by Carrasco et al. 2020.<br> Any use of the files must be cited the original authors. <br> Commercial use prohibited.</p>
WACCM-X simulated data for Wu et al. (2023) "Investigation of the physical mechanisms of the formation and evolution of equatorial plasma bubbles during a moderate storm on September 17, 2021"
<p>This dataset contains all the data related to WACCM-X simulated result figures in article "Investigation of the physical mechanisms of the formation and evolution of equatorial plasma bubbles during a moderate storm on September 17, 2021". The data includes simulated hmF2 data over the equatorial region for September 17th, 2021, during 18-23UT, from WACCM-X simulations; RTI data at 250-400km altitude for September 16th and 17th, 2021, obtained from WACCM-X simulated results during 18-23UT; Individual integrated components data of the RTI calculation at 350km altitude for September 16th and 17th, 2021, during 18-23UT, derived from WACCM-X simulations; Total zonal electric fields, PPEF zonal electric fields, Total vertical plasma drifts, and PPEF vertical plasma drifts data for September 16th to 17th, 2021 at 0 longitude between 40°S and 40°N latitude, spanning 0-24UT, from WACCM-X simulations.</p>
Datasets for "Effects of equatorial plasma bubbles on multi-GNSS signals: A case study over South China"
<p>Post-processed airglow data for Figure 1 and source data for other Figures.</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>
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>
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>
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>
Data from: Bubbling water-treating DBD plasma device optimization using experimental and computational methods
Open the record for dataset details and reuse information.
Dataset for Bright x-ray radiation from plasma bubbles in an evolving laser wakefield accelerator
<p>This dataset contains the raw data and analysis scripts for results presented in the paper. " Bright x-ray radiation from plasma bubbles in an evolving laser wakefield accelerator"</p>
SCINDA GPS and UHF data supporting analysis in "On the assessment of daily Equatorial Plasma Bubble occurrence modeling and forecasting"
<p>This dataset consists of ionospheric scintillation data collected from August 1, 2013 until July 25, 2014 by a collection of GPS and UHF receiver stations in the Scintillation Network Decision Aid (SCINDA) network (Groves et al., 1997). This particular dataset supports the analysis conducted in Carter et al. (2020).</p> <p><br> Carter, B.A., J.L. Currie, T. Dao, E. Yizengaw, J.M. Retterer, M. Terkildsen, K. Groves and R. Caton (2020), On the assessment of daily Equatorial Plasma Bubble occurrence modeling and forecasting, Submitted to Space Weather, Jun 2020.</p> <p>Groves, K.M., S. Basu, E. J. Weber, M. Smitham, H. Kuenzler, C.E. Valladares, R. Sheehan, E. MacKenzie, J.A. Secan, P. Ning, W.J. McNeill, D.W. Moonan, and M.J. Kendra (1997), Equatorial scintillation and systems support, Radio Science, 32, 2047-2064, doi:10.1029/97RS00836.</p>
Using GOLD Plasma Bubble Observations for Validation of Geolocation of Plasma Irregularities by Back Propagation of the High-Rate FORMOSA7/COSMIC 2 Scintillation Data
The dataset contains files geolocation of scintillations from COSMIC-2 high rate scnPhs files using back-propagation method. The dataset was used in the paper for validation of the geolocation method. The data are in multi-column ASCII file format.
Simulation Study of the Tonga Event: Development of Equatorial Plasma Bubbles
<p>Data used for the figures in the paper</p> <p>Simulation Study of the Tonga Event:<br> Development of Equatorial Plasma Bubbles</p>
Prediction of equatorial plasma bubble formation using ionosonde observations from India
<p>The given dataset has been used for the analysis in the aricle "Prediction of equatorial plasma bubble formation using ionosonde observations from India". It contains day-to-day observations/predictions of events from Gadanki, Trivandrum, and Sriharikota. It aslo contains ionosonde data (Time vs h'F) from Gadanki on 13-03-2015, 14-03-2015, 18-03-2015, 19-03-2015, 20-03-2015 and 21-03-2015 used in the study. All data are given in the .txt format.</p>
Modeling the Day-to-Day Variability of Midnight Equatorial Plasma Bubbles with SAMI3/WACCM-X
<p>SAMI3/WACCM-X output files</p>
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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.