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6 results for “EPBs”
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>
SCINDA GPS and UHF data supporting analysis in "On the Generation of an Unseasonal EPB Over South East Asia"
<p>This dataset contains ground-based GPS ionospheric scintillation data collected from Bandung, Indonesia during July 2014. This GPS receiver is part of the Scintillation Network Decision Aid (SCINDA) network (Groves et al., 1997). This particular dataset supports the analysis conducted in Currie et al. (2020).</p> <p><br> Currie, J. L., B. A. Carter, J. Retterer, T. Dao, R. Pradipta, R. Caton, K. Groves, Y. Otsuka, T. Yokoyama, K. Hozumi, T Le Truong, M. Terkildsen (2020), On the Generation of an Unseasonal EPB Over South East Asia, Submitted to JGR: Space Physics, Sept 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>
Data of Spatio-Temporal deep learning model for regional EPB irregularities short-term Prediction
<p>Using the dense ground-based GNSS receiver network and ionosonde data from East and Southeast Asia during 2010-2021, a novel Spatio-Temporal deep learning model for regional EPB irregularities short-term Prediction (STEP) was developed. The model integrates the convolutional neural network (CNN) and long short-term memory (LSTM) network, together with attention mechanisms, to capture both spatial and temporal features of regional ionospheric irregularities.<br>This dataset includes both the model and the results generated by STEP. The parameters provided are: UT (hours), Latitude (°), Longitude (°), Date, Y_pred (TECU/min), and Y_true (TECU/min). The dimensions of Y_pred and Y_true are 10812 x 610, where 10812 represents the product of the number of date and the number of UT (minus 18), and 610 corresponds to the product of the number of Latitude and Longitude. The model with a .pth extension can be loaded using PyTorch.</p>
A Phase 2b Trial of EPB-348 for the Treatment of Herpes Zoster
ClinicalTrials.gov study NCT00831103. IPD Sharing: Not stated. Countries: 1. Publications: 1.
The Role of Exercise-Periodic-Breathing (EPB) in Impaired Ventilation Regulation Dysfunction in Heart Failure Patients
ClinicalTrials.gov study NCT01454128. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Correlation Between EPB Entrapment Test and Ultrasound Wrist Findings in Patients With deQuervain's Disease
ClinicalTrials.gov study NCT05692583. IPD Sharing: NO. Countries: 1. Publications: 3.
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