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Dataset results
237 results for “ionosphere”
Large-Scale Traveling Ionospheric Disturbances over the European sector during the geomagnetic storm on March 23-24, 2023: energy deposition in the source regions and the propagation characteristics
<p>IMAGE 2D Ionospheric Equivalent Currents for 23 and 24 March 2023 (https://space.fmi.fi/image/). </p> <p><em>We thank the institutes who maintain the IMAGE Magnetometer Array (<a href="https://space.fmi.fi/image/">https://space.fmi.fi/image/</a>): Tromsø Geophysical Observatory of UiT the Arctic University of Norway (Norway), Finnish Meteorological Institute (Finland), Institute of Geophysics Polish Academy of Sciences (Poland), GFZ German Research Centre for Geosciences (Germany), Geological Survey of Sweden (Sweden), Swedish Institute of Space Physics (Sweden), Sodankylä Geophysical Observatory of the University of Oulu (Finland), DTU Technical University of Denmark (Denmark), and Science Institute of the University of Iceland (Iceland). The provisioning of data from AAL, GOT, HAS, NRA, VXJ, FKP, ROE, BFE, BOR, HOV, SCO, KUL, and NAQ is supported by the ESA contracts number 4000128139/19/D/CT as well as 4000138064/22/D/KS. The authors would like to thank Dr. Liisa Juusola for providing the IMAGE 2D Ionospheric Equivalent Currents data.</em></p>
Machine Learning Classification Workflow and Datasets for Ionospheric VLF Data Exclusion
<p><span>This data includes the pre-processed dataset, along with a novel workflow that utilizes the PyCaret library and a post-processing workflow. The code and data serve educational purposes in the interdisciplinary field of machine learning and ionospheric physics science, as well as being useful to other researchers for diverse objectives. </span></p> <p><span><span>Acknowledgements:</span></span></p> <p><span><span>The WALDO database (<a href="https://waldo.world"><span>https://waldo.world</span></a>, accessed on October 1, 2023) provides VLF data. It is run collaboratively by the University of Colorado Denver and the Georgia Institute of Technology, utilizing data gathered from Stanford University and those two institutions. It has been made possible by numerous grants from the Department of Defense, NASA, and the NSF.<span> </span></span></span></p> <p> </p> <p> </p>
The data for The Simulation of the Equinox Asymmetry of Ionospheric Electrodynamics at East-Asian Sector
<p>The data is used to describe the figure in the paper "The Simulation of the Equinox Asymmetry of Ionospheric Electrodynamics at East-Asian Sector"</p>
Radiation theory of VLF waves generated by beating HF waves in the anisotropic ionosphere
<p>Data sets and matlab code supporting for reseach article "Radiation theory of VLF waves generated by beating HF waves in the anisotropic ionosphere".</p>
Propagational Isotropy of Large Scale Traveling Ionospheric Disturbances Over Australia And New Zealand due to the 2022 Tonga Volcanic Eruption
<p>This data repository contains global TEC processed data from 14 - 16 January 2022. The original data were obtained from the GNSS-TEC database available at https://stdb2.isee.nagoya-u.ac.jp/GPS/GPS-TEC/ provided by the Institute for Space-Earth Environment Research, Nagoya University. The data is in .mat format (binary Matlab file) with the following data matrices:</p> <ol> <li>Coordinates (geographic coordinates - Latitude, Longitude)</li> <li>dTEC1 (detrended TEC)</li> <li>TimeTEC_combined (time series absolute TEC for each geographic coordinate)</li> </ol> <p>Data has a time resolution of 5 min in each column. </p>
Substorm Dataset and code (Substorm Identification With The WINDMI Magnetosphere - Ionosphere Nonlinear Physics Model)
<p>The archive contains MATLAB Live Script (<code>.mlx</code>) and Simulink model (<code>.slx</code>) files.</p> <ul> <li> <p><strong><code>.mlx</code> files:</strong> MATLAB Live Scripts are interactive files that combine code, output, and formatted text in a single document. They are used for data analysis, visualization, and sharing workflows in an easy-to-read format. These files can be opened in MATLAB's Live Editor for an interactive coding experience.</p> </li> <li> <p><strong><code>.slx</code> files:</strong> Simulink model files are used in MATLAB's Simulink environment for graphical modeling and simulation of dynamic systems. They are particularly useful for designing and analyzing systems with time-dependent behaviors, such as control systems or physical processes.</p> </li> </ul>
Identification of Ionospheric Acoustic Wave Signatures from Conventional Surface Explosions Using MF/HF Doppler Sounding
<p>These HDF5 files contain complex time series data from HF receptions of a Digisonde Portable Sounder 4D (DPS4D). Each data point is the phase and amplitude of a decoded Sky Map mode pulse. </p>
Dataset of Effect of meteoric ions on ionospheric conductance at Jupiter
<p>This dataset contains the input parameters and the simulated results used for figures in the paper "Effects of meteoric ions on ionospheric conductance of Jupiter" by Y. Nakamura, K. Terada, C. Tao, N. Terada, Y. Kasaba, F. Leblanc, H. Kita, A. Nakamizo, A. Yoshikawa, S. Ohtani, F. Tsuchiya, M. Kagitani, T. Sakanoi, G. Murakami, K. Yoshioka, T. Kimura, A. Yamazaki and I. Yoshikawa. Detailed informations about the data files can be found in "README.txt".</p>
The height-dependent delayed ionospheric response to solar EUV - data comparison - secondary files 141 - 143
<p><strong>Secondary files for doy 141 - 143</strong></p> <p>For comparison with the observational results a TIE-GCM v2.0 model run in the 2.5 × 2.5 configuration is calculated. In order to converge to stable initial condition the model runs for 30 days prior to the final simulation starting at 28 March 2019. This initial run is configured with default parameters. The final run from 27 April 2019 to 24 May 2019 uses the default configuration of TIE-GCM with the Heelis Electric Convection Field Model (Heelis et al., 1982) as the high-latitude potential model. The input forcing is used from the NASA/GSFC’s OMNI data set</p>
The height-dependent delayed ionospheric response to solar EUV - data comparison - secondary files 135 - 140
<p><strong>Secondary files for doy 135 - 140</strong></p> <p>For comparison with the observational results a TIE-GCM v2.0 model run in the 2.5 × 2.5 configuration is calculated. In order to converge to stable initial condition the model runs for 30 days prior to the final simulation starting at 28 March 2019. This initial run is configured with default parameters. The final run from 27 April 2019 to 24 May 2019 uses the default configuration of TIE-GCM with the Heelis Electric Convection Field Model (Heelis et al., 1982) as the high-latitude potential model. The input forcing is used from the NASA/GSFC’s OMNI data set</p>
The height-dependent delayed ionospheric response to solar EUV - data comparison - secondary files 129 - 134
<p><strong>Secondary files for doy 129 - 134</strong></p> <p>For comparison with the observational results a TIE-GCM v2.0 model run in the 2.5 × 2.5 configuration is calculated. In order to converge to stable initial condition the model runs for 30 days prior to the final simulation starting at 28 March 2019. This initial run is configured with default parameters. The final run from 27 April 2019 to 24 May 2019 uses the default configuration of TIE-GCM with the Heelis Electric Convection Field Model (Heelis et al., 1982) as the high-latitude potential model. The input forcing is used from the NASA/GSFC’s OMNI data set</p>
The height-dependent delayed ionospheric response to solar EUV - data comparison - secondary files 117 - 122
<p><strong>Secondary files for doy 117 - 122</strong></p> <p>For comparison with the observational results a TIE-GCM v2.0 model run in the 2.5 × 2.5 configuration is calculated. In order to converge to stable initial condition the model runs for 30 days prior to the final simulation starting at 28 March 2019. This initial run is configured with default parameters. The final run from 27 April 2019 to 24 May 2019 uses the default configuration of TIE-GCM with the Heelis Electric Convection Field Model (Heelis et al., 1982) as the high-latitude potential model. The input forcing is used from the NASA/GSFC’s OMNI data set</p>
The height-dependent delayed ionospheric response to solar EUV - data comparison
<p>For comparison with the observational results a TIE-GCM v2.0 model run in the 2.5 × 2.5 configuration is calculated. In order to converge to stable initial condition the model runs for 30 days prior to the final simulation starting at 28 March 2019. This initial run is configured with default parameters. The final run from 27 April 2019 to 24 May 2019 uses the default configuration of TIE-GCM with the Heelis Electric Convection Field Model (Heelis et al., 1982) as the high-latitude potential model. The input forcing is used from the NASA/GSFC’s OMNI data set</p> <p>Secondary files:</p> <p>117 - 122: <a href="https://zenodo.org/record/6004534">https://zenodo.org/record/6004534</a></p> <p>123 - 128: <a href="https://zenodo.org/record/6006516">https://zenodo.org/record/6006516</a></p> <p>129 - 134: <a href="https://zenodo.org/record/6009777">https://zenodo.org/record/6009777</a></p> <p>135 - 140: <a href="https://zenodo.org/record/6014195">https://zenodo.org/record/6014195</a></p> <p>141 - 143: <a href="https://zenodo.org/record/6014201">https://zenodo.org/record/6014201</a></p> <p> </p>
An empirical model of the dayside Martian ionosphere based on the radio occultation data from MGS, MEX, and MAVEN
<p>This empirical model is developed from the radio occultation data to reconstruct the dayside Martian ionosphere. The observations include the measurements from MGS, MEX, and MAVEN. Based on PCA and optimized regression, this model well reproduces the peak electron density and altitude in observations.</p>
Spectral characteristics of ionospheric disturbances over the Southwestern Pacific from the January 15, 2022 Tonga eruption and tsunami
<p>This dataset contains the filtered ionospheric total electron content values used in the manuscript of the same name.</p>
The conductivity profile of Earth-ionosphere cavity used in the paper "Finite-difference time-domain analysis of ELF radio wave propagation in the spherical Earth-ionosphere waveguide and its validation based on analytical solutions" by Volodymyr Marchenko, Andrzej Kulak, Janusz Mlynarczyk
<p>The file "Marchenko_FDTD_Paper_Conductivity_Profile.dat" contains the conductivity profile of Earth-ionosphere cavity. The first column provides the altitude (in km) and the second column provides the conductivity (in S/m).</p>
Multi-instrument observations of the ionospheric response to the 26 December 2019 solar eclipse over Indian and Southeast Asian longitudes
<p>Here, the impact of the 26 December 2019 solar eclipse on the equatorial and low latitude ionosphere has been investigated using ground and space-based observations over Indian and Southeast Asian longitudes. The high-resolution Ionosonde observations at Tirunelveli, GPS TEC observations from a chain of GPS receivers along and across the eclipse path, TIMED-SABER, and Ionospheric Connection Explorer (ICON) satellites were utilized to investigate the eclipse-induced variations in electron density and thermospheric cooling. We noticed a tremendous increase and decrease in the base height of the F-layer, resembling the nighttime Pre-Reversal Enhancement (PRE). Near the eclipse maximum, a strong blanketing sporadic E layer was observed at Tirunelveli with a top frequency of ~18 MHz for 1 hour and 26 minutes. Satellite traces (STs) and ‘U’ shaped ionograms were noticed for the first time over Tirunelveli during eclipse maximum and end phases. The ‘STs’ and ‘U’ shaped traces indicate the presence of short-period gravity waves or TID type of wave perturbations over the Indian region. A maximum of ~5-7 TECU (30-40%) decrease in TEC is observed on the eclipse day for iisc, hyde, and tiru stations. Periodogram analyses of TEC data showed the presence of wavelike structures with periodicities of 18-24 minutes for different stations. Simultaneous observations from the ICON satellite showed an increase and decrease in hmF2 and NmF2 which matches well with the ionosonde observations from Tirunelveli. The temperature profiles from TIMED-SABER and ICON satellites showed a reduction and enhancement in the lower and upper E regions respectively.</p>
Data for Magnetosphere-Ionosphere-Thermosphere Coupling Study at Jupiter Based on Juno's First 30 Orbits and Modeling Tools
<p>Data used in the code associated to the manuscript "Magnetosphere-Ionosphere-Thermosphere Coupling Study at Jupiter Based on Juno’s First 30 Orbits and Modeling Tools", by Al Saati et al. (2022, Journal of Geophysical Research - Space Physics, https://doi.org/10.1029/2022JA030586). Please read the documentation associated with the corresponding code.</p>
Clear Ionospheric Detections of Infrasound produced by Conventional Surface Explosives
<p>These HDF5 files contain complex time series data from HF receptions of a Digisonde Portable Sounder 4D (DPS4D). Each data point is the phase and amplitude of a decoded Sky Map mode pulse. </p>
The effect of the 2017 solar eclipse in the ionospheric total electron content
<p>Using 15-second RINEX files inside the totality path, I calculated the Total Electron Content (TEC) at each station-satellite pair for each epoch recorded during the day of the 2017 solar eclipse. These calculations result in TEC observations at the ionospheric piercing points (IPP), the intersection of the station-satellite line-of-sight (LOS) and the peak electron density of the ionospheric F layer at a height of ~300 km. Using the estimated TEC at each IPP, I produced a video showing the TEC change during the passage of the umbra and penumbra of the eclipse over North America over a period of one hour. The video shows that as the moon’s shadow passes and the sunlight is blocked, the TEC drops due to the recombination of the ionized particles. More information available at the UNAVCO Google+ webpage: https://plus.google.com/u/0/112042426109504523574/posts/bPJ2f7exmPk</p>
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.